Digital wind of changes: navigating competitiveness in the maritime sector through the transformation in human resource development

Yuthana Autsadee (Faculty of Maritime Studies, Universiti Malaysia Terengganu, Terengganu, Malaysia)
Jagan Jeevan (Faculty of Maritime Studies, Universiti Malaysia Terengganu, Terengganu, Malaysia)
Nurul Haqimin Mohd Salleh (Faculty of Maritime Studies, Universiti Malaysia Terengganu, Terengganu, Malaysia)
Mohamad Rosni Othman (Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur, Malaysia)

Maritime Business Review

ISSN: 2397-3757

Article publication date: 31 May 2024

Issue publication date: 9 September 2024

1088

Abstract

Purpose

The maritime industry, a linchpin of global trade, has embarked on a transformative journey catalysed by the relentless advance of digitalisation. There is a discernible gap in the literature concerning the specific consequences of digitalisation within the maritime sector. This research aims to examine the current body of literature on the influence of digitalisation in human resource development (HRD) on the competitive advantage of organisations and its potential within the maritime industry.

Design/methodology/approach

This research paper conducts a comprehensive bibliometric analysis.

Findings

The findings of this research explore the literature landscape encompassing digitalisation in HRD, its influence on HR operations, learning and development, performance management, employee experience and strategic alignment within maritime organisations.

Originality/value

This research provides valuable recommendations for maritime organisations and HRD practitioners seeking to leverage digitalisation to gain a competitive edge. Thus, the maritime industry can adopt digital HRD practices to streamline operations, improve performance and align HR strategies with broader organisational goals.

Keywords

Citation

Autsadee, Y., Jeevan, J., Mohd Salleh, N.H. and Othman, M.R. (2024), "Digital wind of changes: navigating competitiveness in the maritime sector through the transformation in human resource development", Maritime Business Review, Vol. 9 No. 3, pp. 204-228. https://doi.org/10.1108/MABR-11-2023-0079

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Pacific Star Group Education Foundation


1. Introduction

Throughout history, the maritime sector has held a significant position in facilitating worldwide trade and business activities, acting as a fundamental element in the advancement of economies and global logistics. In the past few years, there have been notable changes in the sector, which may be attributed to the continuous progress of digital technology (Alnıpak and Toraman, 2023). The incorporation of digitisation into diverse aspects of maritime operations has brought about significant transformations in logistics and navigation, as well as extended its influence on the domain of HRD (Autsadee et al., 2023a; Kaleem Awan and Ghamdi, 2019). The maritime sector, similar to various other industries, confronts the task of adjusting to the digital transformation in HRD while maintaining competitiveness in a swiftly changing worldwide environment (Autsadee et al., 2023c; Wu and Kao, 2022).

The maritime sector is at a critical juncture, where the adoption of digitalisation in HRD can significantly impact its ability to thrive in the modern world. With the global economy becoming increasingly interconnected and fast-paced, maritime organisations should navigate the ways of digital transformation strategically. Understanding the dynamic nature of digital HRD in this context is of utmost importance. Moreover, as the maritime industry faces unique challenges such as crew management, safety regulations, and compliance with international standards, the consequences of digitalisation in HRD are likely to differ from those in other sectors (Mouschoutzi and Ponis, 2022; Tong, 2022; Di Vaio et al., 2021). Thus, to ensure the long-term viability of maritime enterprises, it is crucial to gain insights into how digitalisation affects HRD practices and, in turn, influences the competitive advantage of these organisations.

The existing body of literature has extensively examined the influence of digitalisation on HRD and its subsequent effects on organisational competitiveness across diverse industries. However, there is a discernible gap in the literature concerning the specific consequences of digitalisation within the maritime sector (Banmairuroy et al., 2022; Chatterjee and Mariani, 2022; Lewandowska et al., 2023). Organisation possesses distinct characteristics in terms of its requirements, obstacles, and prospects, hence warranting a focused examination of the integration of digitalisation in HRD and its effects on organisational competitiveness (Alam and Dhamija, 2022; Fernandez and Gallardo-Gallardo, 2021; Thite, 2022). In order to bridge this knowledge gap, the main aim of this research is to perform an extensive bibliometric analysis that examines the current body of literature on the influence of digitalisation in HRD on the competitive advantage of organisations and its potential within the maritime industry.

Comprehending the dynamic nature of digital HRD is of utmost importance for maritime enterprises seeking to maintain their competitiveness in the global arena. Moreover, the outcomes of this investigation will provide a valuable contribution to the current corpus of knowledge by elucidating the distinct dynamics and obstacles associated with the process of digitalisation in HRD within the maritime sector. This research endeavours to shed light on digitalisation in HRD dimensions, with the objective of enhancing the ability of HRD practitioners and policymakers in the maritime industry to make well-informed decisions.

This research paper is organised in the following manner: after the introduction, the literature review section will be presented in section two. Following this, the methodology part will provide a comprehensive account of the research approach employed and the methods used for data collection. Subsequently, the ensuing piece of discourse will thoroughly explore the analysis and comprehension of the obtained results, their ramifications, and their juxtaposition with pre-existing scholarly works. In conclusion, the final section of this research will provide a comprehensive summary of the significant discoveries and contributions made, as well as propose potential directions for future research within this particular field of study.

2. A comprehensive review of digitalisation in HRD and its impact on organisational competitiveness

The phenomenon of digitalisation in the field of HRD has emerged as a powerful and influential force that has garnered considerable interest in diverse sectors. The fundamental concept of digitalisation in HRD is the incorporation of digital technologies into many aspects of talent management, training, skill enhancement, and organisational learning (Dorasamy, 2021; Varshney, 2020). The aforementioned transformation has been instigated by the widespread use of various technological advancements, including but not limited to e-learning platforms, data analytics, artificial intelligence (AI), and virtual reality (VR) (Otoo-Arthur and van Zyl, 2020; Sengupta et al., 2021). The utilisation of these technologies has not only brought about a significant transformation in the manner in which businesses address HRD but has also played a crucial role in augmenting the competitive advantage of enterprises within the current business environment (Akdere et al., 2023; Malini and Srinivas, 2020; Otoo-Arthur and van Zyl, 2020).

The focal point of this discourse revolves around fundamental concepts and theories pertaining to HRD and its impact on competitiveness. HRD plays a crucial role as a strategic component inside companies, with a primary focus on enhancing organisational performance through the development of human capital, knowledge, and skills (Akdere and Egan, 2020; Chakraborty and Biswas, 2019; Rasool et al., 2019). The connection between HRD and competitiveness can be based on the notion that firms can enhance their competitive advantage by cultivating a workforce that possesses both talent and adaptability (Colakoglu et al., 2019; Menéndez Blanco and Montes-Botella, 2017). The idea of the Resource-Based View (RBV), for example, emphasises the strategic significance of human resource (HR) in terms of their role as a sustainable source of competitive advantage (Donnellan and Rutledge, 2019; Freeman et al., 2021).

In the broader landscape of digitalisation across various sectors, several overarching themes and trends have emerged that extend beyond HRD. One prevailing theme is the transformative power of digital technologies in enhancing operational efficiency and productivity (Martínez-Caro et al., 2020; Papadopoulos et al., 2020). Industries across the board are adopting digital tools and automation to streamline processes, reduce costs, and improve overall performance. Another critical theme revolves around the growing importance of data and analytics. Data-driven decision-making has become a cornerstone of success in many sectors, enabling organisations to gain valuable insights into customer behaviours, market trends, and operational patterns (Campi et al., 2021a; McIver et al., 2018).

In addition to these themes, several prominent trends are reshaping sectors globally. One significant trend is the increasing emphasis on sustainability and environmental responsibility, driven by concerns about climate change and resource conservation. Organisations are implementing digital solutions to reduce their carbon footprint, monitor energy consumption, and optimise resource utilisation (Borowski, 2021; Hrustek, 2020; Sarker et al., 2021). Moreover, the ongoing evolution of AI is profoundly impacting industries by enabling predictive analytics, autonomous processes, and personalised customer experiences (Ameen et al., 2021). AI-powered chatbots, for instance, are enhancing customer support across various sectors (Malik et al., 2022; Qamar et al., 2021).

Furthermore, the expansion of remote work and digital collaboration tools, accelerated by the global events of recent years, has transformed the way businesses operate (Orzeł and Wolniak, 2022). Virtual meetings or cloud-based project management have become essential components of modern work environments, facilitating flexibility and agility (Awwad et al., 2022; Schmidtner et al., 2021). The integration of augmented reality (AR) and VR technologies is also gaining traction, not only in HRD but across industries like healthcare, real estate, and entertainment (Gupta et al., 2022; Oriti et al., 2023; Podshivalov, 2022). These immersive technologies are creating novel opportunities for training, product design, and customer engagement (Kozinets, 2023).

While the broader literature on digitalisation in HRD is substantial, limited attention has been directed toward its maritime sector applications. The maritime industry, characterised by its unique challenges such as crew management, safety, and compliance with international regulations, necessitates a distinct examination (Mouschoutzi and Ponis, 2022; Tong, 2022; Di Vaio et al., 2021). Few studies have ventured into this specialised domain, and those that have often provided valuable insights into the maritime workforce’s readiness to embrace digital HRD practices, technology adoption trends, and the industry’s overall digital maturity.

The maritime sector encompasses various industries related to shipping, port, logistics, and offshore operations, where efficiency, safety, and compliance with international regulations are paramount (Jeevan, 2021). Today, digitalisation in HRD may be increasingly essential for improving the competitiveness of the maritime sector. Digital HRD may also play a pivotal role in addressing the unique challenges of the maritime sector. By leveraging digital technologies such as e-learning platforms, data analytics, and AI, maritime companies may enhance their crew’s skills, knowledge, and adaptability. This, in turn, may lead to improved operational efficiency, safety measures, and compliance, all of which are critical factors for competitiveness in the global maritime industry. Furthermore, as the industry evolves, the ability to embrace digitalisation in HRD may position maritime companies as leaders in innovation and sustainability, aligning them with changing market demands and ensuring long-term competitiveness.

Thus, notable gaps persist in the literature. A comprehensive overview of the literature reveals that there is still a dearth of studies that systematically analyse in the maritime sector’s readiness for digitalisation in HRD. Furthermore, the relationship between digitalisation in HRD and organisational competitiveness, particularly within maritime contexts, remains underexplored. These gaps underscore the need for this research to provide a comprehensive bibliometric analysis that consolidates and synthesises existing knowledge, paving the way for a more informed understanding of the subject matter.

3. Methodology

The present study utilises a bibliometric analysis methodology to comprehensively evaluate and amalgamate the extant literature pertaining to the influence of digitalisation in HRD on the competitive advantage of organisations operating within the maritime industry. Bibliometrics is a research methodology that employs quantitative analysis to examine publications, citations, co-citations and co-word analysis in order to delineate the intellectual framework of a specific field of study (Dede and Ozdemir, 2022; Su and Rungruang, 2024). Within the scope of this research, the utilisation of co-word analysis enables the identification of prominent research themes, trends, and patterns within the existing body of literature. This analytical approach provides valuable insights into the subject matter being examined (Jan et al., 2023; Maghsoudi et al., 2023).

The Scopus database, renowned for its extensive coverage of scholarly publications across multiple fields, serves as the principal data source for this bibliometric analysis (Bakhmat et al., 2022). In order to ensure consistency and accessibility, it is necessary to exclusively consider publications in the English language. The criteria for selection encompass scholarly publications published in peer-reviewed journals, conference papers, books, and book chapters that explore the junction between digitalisation in HRD and organisational competitiveness. The search’s temporal reach extends to publications from 2000 to 2022, thus ensuring the incorporation of contemporary research contributions.

The procedure of data collection entails using a thorough search strategy that incorporates pertinent keywords and Boolean expressions to get applicable papers from the Scopus database. The utilised keywords encompass a range of variations and synonyms pertaining to concepts such as “digitalisation,” “HRD,” and “organisational competitiveness.” The objective of the search method is to locate articles that specifically address the correlation between digitalisation in HRD and the competitive advantage of organisations. Upon completion of data collection, a comprehensive analysis of keywords will be conducted to ascertain prominent research themes and developing patterns within the existing body of literature. The analysis will elucidate the terms and concepts that occur with the highest frequency.

The bibliometric analysis in this research was performed with VOSviewer, a widely acknowledged and user-friendly software programme for bibliometric visualisation and analysis (Adegoriola et al., 2021). The utilisation of VOSviewer facilitates the generation of visual depictions pertaining to bibliometric data, encompassing keyword density maps (Donthu et al., 2021). Additionally, it will enable the discovery of clusters pertaining to the quantification of research themes and trends within the chosen literature.

This research seeks to conduct a comprehensive analysis of the existing literature on the impact of digitalisation in HRD on organisational competitiveness in the maritime sector. To achieve this, a rigorous bibliometric methodology will be employed, and the capabilities of VOSviewer will be utilised. The objective is to provide a systematic and data-driven examination of this topic.

4. Data analysis and findings

The study conducted an analysis of 111 documents retrieved from the Scopus database spanning the period from 2000 to 2022, all of which are pertinent to the research at hand. Table 1 provides an overview of the document sources. Notably, the majority of documents, totalling 4, were sourced from Sustainability. Following closely, Energies, SA Journal of Human Resource Management, and Human Resource Development Review each contributed 3 documents. The remaining sources presented 2 documents each.

This section also presents the findings of our bibliometric investigation, providing useful insights into the convergence of digitalisation in HRD and organisational competitiveness. There exist five distinct topics that can be classified as components, namely, HR operations, learning and development, performance management, employee experience and engagement, as well as strategic impact. First, HR operations play a crucial role in business. The aforementioned issues encompass the incorporation of digital technology in the processes of recruiting and talent acquisition, the mechanisation of repetitive HR jobs, and the utilisation of data analytics for the purpose of workforce planning. The implementation of digital tools has greatly enhanced HR procedures, leading to enhanced operational effectiveness and optimised allocation of resources.

Second, the advent of digitalisation has brought about significant transformations in the realm of learning and development. The key findings of this research reveal an increasing focus on online training platforms, simulations, and VR and AR applications. These technological advancements can have not only improved the availability of educational programmes but have also played a significant role in fostering the growth of a proficient and versatile workforce.

Moreover, the digitalisation of maritime organisations has had a significant impact on performance management. The analysis conducted in our study emphasises the application of performance analytics and real-time feedback methods. The implementation of digital technologies has significantly enhanced the accuracy of performance assessments, thereby enabling organisations to swiftly identify and address areas in need of improvement.

In addition, the implementation of digital technology in the field of HRD has resulted in significant enhancements in employee experience and engagement. The results of this research indicate that the use of digital platforms for the purposes of employee feedback, recognition, and communication has contributed to the development of a feeling of inclusion and empowerment among the workforce. As a result, this can have a favourable effect on retention rates and the general level of job satisfaction.

Lastly, the advent of digitalisation has significantly influenced the strategic landscape of organisations. The analysis conducted reveals a notable trend towards the use of data-driven decision-making and the alignment of HR policies with wider organisational goals. Any industry can have progressively acknowledged the significance of HR as a strategic resource, utilising digital technologies to synchronise HR strategies with the attainment of competitive benefits, such as enhanced operational effectiveness and safety.

In brief, the bibliometric analysis carried out in this research provides a complete overview of the influence of digitalisation in HRD on the competitive advantage of organisations operating in any industry. Table 2 presents a comprehensive overview of the various themes and their respective effects on HR operations, learning and development, performance management, employee experience, and strategic alignment. Figure 1 also appears to be a visual representation or diagram that illustrates a co-word analysis related to the topics of digitalisation in HRD and organisational competitiveness. These insights are of significant can have value to both scholars and practitioners operating within the marine industry. The aforementioned discoveries help to our comprehension of the ways in which digitisation is altering HR practises and bolstering competitiveness within this ever-evolving industry.

5. Discussion

One of the salient findings of this research can the widespread adoption of digital technologies in HR operations within maritime organisations. Digitalisation may contribute to competitiveness in multiple ways in the maritime sector. The maritime sector can integrate digital tools in recruitment, talent management, and workforce planning. The sector can allocate resources more efficiently and make informed decisions regarding talent acquisition and development. This streamlining of processes reduces costs and minimises the risk of talent shortages, enabling organisations to maintain operational excellence. This aligns with the broader literature, which underscores the transformative potential of digitalisation in HRD (Köchling and Wehner, 2020).

The analysis can also underscore the fundamental role of digitalisation in transforming learning and development practices within the maritime sector. The transition towards online training platforms, virtual simulations, and AR applications demonstrates a steadfast commitment to cultivating a highly skilled and versatile maritime workforce. The focus on ongoing learning and development via digital channels may equip maritime professionals with the expertise and information necessary to effectively navigate the intricacies of the maritime industry. This reinforces workforce competence and adaptability, both of which are paramount for maintaining competitiveness in the context of the globalised maritime landscape. The maritime industry’s recognition of the significance of continual learning can align seamlessly with the notion of a learning organisation, wherein the capacity to acquire and apply knowledge serves as a strategic asset (Ajgaonkar et al., 2022; Mustafa et al., 2019; Sampath et al., 2021).

Moreover, the impact of digitalisation extends beyond HR operations, learning and development. The analysis found that it also influences performance management practices within maritime organisations. The use of performance analytics and real-time feedback mechanisms can enable more accurate assessments of maritime workforce performance. The use of data-driven performance management practices can empower maritime organisations to identify and promptly address performance bottlenecks. This real-time feedback loop can also lead to improved operational efficiency, ensuring that the maritime sector can respond swiftly to market demands and regulatory changes. This, in turn, contributes to continuous improvement efforts and enhances overall operational efficiency. The role of real-time and data driven performance management in achieving organisational excellence enhances employee engagement, productivity, and overall performance (Doll, 2022; Pillai and Sivathanu, 2022; Tomczak et al., 2018).

In addition, the digitalisation of HRD can have a profoundly positive impact on the employee experience and engagement within the maritime sector. Engaged maritime employees are not only more likely to contribute innovative ideas but also demonstrate a higher level of commitment to the organisation’s overarching mission. This heightened engagement can, in turn, significantly enhance the organisational agility and resilience required to navigate the volatile landscape inherent to the maritime sector. The use of digital platforms for communication, feedback, and recognition may play a pivotal role in nurturing a sense of belonging and empowerment among maritime personnel. This may foster an environment where job satisfaction soars, and employee retention rates increase-a testament to the paramount importance of optimising the employee experience in today’s fiercely competitive labour market (Arriscado et al., 2019; Chanana and Sangeeta, 2021). Thus, engaged maritime employees may not only be valuable assets but also more likely to play a pivotal role in driving in the maritime sector success.

The strategic impact of digitalisation within the maritime sector can extend far beyond its immediate HR operations, learning and development, performance management, and employee engagement benefits. It encompasses a transformative shift towards data-driven decision making, predictive analytics, and strategic planning. Maritime organisations can make informed decisions regarding their workforce composition, skill requirements, and operational strategies. This can enable effective succession planning, ensuring that the right talent is ready to step into critical roles as needed. Furthermore, the integration of automation and AI may enhance operational efficiency, optimising resource allocation and responding to maritime market demands like study by Zeng and Qi (2021). Thus, digitalisation’s strategic can impact empowers maritime organisations to navigate the complex and dynamic global maritime landscape with agility, resilience, and a competitive edge.

This analysis highlights the significant advantages of digitalisation in HRD within the maritime industry. However, it is crucial to recognise the difficulties that arise throughout this process. Certain individuals working in the marine industry may possess insufficient digital literacy skills, hence limiting their ability to effectively utilise HRD tools (Autsadee et al., 2023a; Hallam et al., 2018). The implementation of stringent security measures is important in order to safeguard sensitive employee data from potential intrusions (Flaumenhaft and Ben-Assuli, 2018). Moreover, the presence of conventional ideologies and reluctance to embrace innovation could impede the implementation of digital HRD practises (Jones et al., 2021). Furthermore, the implementation of digital HRD projects may necessitate substantial initial investments in both technology and training (Mazurchenko and Maršíková, 2019; Rosenbusch, 2020).

The findings of this research have ramifications that go beyond the realm of academia. The analysis also provides practical recommendations to maritime organisations and HRD practitioners who are interested in efficiently navigating the digital terrain. Maritime organisations should prioritise HRD as a strategic tool to bolster their competitiveness. The incorporation of digital HRD initiatives into wider organisational goals might result in notable benefits in terms of flexibility and effectiveness. Furthermore, it is imperative for HRD practitioners within the maritime industry to prioritise the customisation of digital learning and development initiatives in order to effectively address the sector’s unique skill demands. This involves utilising simulations, VR and AR, and internet platforms as means of providing focused training.

Furthermore, it is imperative to enhance the adoption of data analytics in the realm of performance management. HRD professionals in the maritime sector can have the ability to utilise data in order to identify areas of performance that are hindering progress, optimise the allocation of talent, and improve overall operational efficiency. The maritime professionals should persist in utilising digital platforms to cultivate a culture of recognition, communication, and involvement within the maritime workforce. Moreover, it is important to acknowledge the distinct difficulties associated with remote and maritime positions. However, the utilisation of digital tools has the potential to mitigate communication barriers and improve the overall satisfaction of employees. Besides, the maritime industry’s prioritisation of safety and adherence to regulations by means of digitalisation ought to serve as a paradigm for other sectors that possess rigorous regulatory obligations. HRD practitioners in the maritime sector may have the opportunity to engage in collaboration with compliance teams in order to facilitate the smooth incorporation of safety measures into digital HRD practises.

The existing literature on digitalisation in HRD within the maritime sector provides valuable insights into the transformative impact of technology on various aspects of organisational functioning. However, it is essential to critically evaluate the limitations and gaps in the current body of knowledge. One key aspect to consider is the need for a nuanced understanding of the cultural and organisational context within maritime companies. The literature often overlooks the unique challenges and dynamics specific to the maritime industry, which can significantly influence the success of digital HRD initiatives. Additionally, the extent to which digital tools can truly replace traditional methods in certain maritime functions remains an area of contention. While the benefits are evident, there is a need to explore potential drawbacks and unintended consequences associated with overreliance on technology, such as the erosion of certain interpersonal skills and the impact on employee well-being.

The insights gained from the literature review reinforce the significance of digitalisation in HRD for maritime organisations. The literature consistently emphasises the positive outcomes associated with the integration of digital tools in recruitment, talent management, learning and development, performance management, and employee engagement. The studies cited underscore the potential for increased operational efficiency, improved decision-making, and enhanced workforce competence. The acknowledgement of challenges related to digital literacy, security concerns, and resistance to innovation also adds a realistic dimension to the discussion. It is evident that successful digital transformation in the maritime sector requires a careful balance between technological adoption and addressing the human factors associated with change.

In summary, the results of this study highlight the significant impact that digitalisation can have on HRD in the maritime industry. Autsadee et al. (2023b) also introduced the concept of Maritime Society 5.0 (MS 5.0) that can be proposed as a novel concept for the forthcoming stage of digital advancement within the marine industry. The MS 5.0 represents a comprehensive incorporation of digital technology throughout all aspects of socio-economic considerations. These also include HR, which comprises HR operations, learning and development, performance management, and employee engagement etc. This concept proposes the integration of advanced analytics, automation, and AI into the maritime industry, with the aim of attaining unparallelled levels of efficiency, safety, and competitiveness.

6. Conclusion

In this final section, this research explores the main conclusions obtained from our extensive bibliometric analysis on the influence of digitalisation in HRD on the competitive advantage of organisations operating in the maritime industry. The aforementioned findings provide significant insights into the dynamic nature of HRD practises and their impact on the competitive advantage of the maritime industry.

The findings of our investigation indicate that the maritime industry is aggressively adopting digitalisation in HRD, utilising various digital technologies and techniques to improve its worldwide competitiveness. The key findings underscore the significant impact of digitalisation on all aspects of HR operations, including learning and development, performance management, employee experience and engagement, and strategic alignment. The significance of digital HRD practises in the maritime industry is highlighted by their acceptance, as they serve as catalysts for organisational agility and success in a dynamic and evolving landscape.

This research makes a valuable contribution to the field of HRD and digitalisation by providing a focused analysis of the maritime sector, which has been relatively neglected in the current body of literature. This research expands our comprehension of the impact of digitalisation on HRD practises and its role in enhancing competitiveness inside a distinct and intricate business. The aforementioned statement highlights the significance of maritime organisations integrating digital HRD practises in a strategic manner in order to sustain their competitive advantage. Nevertheless, it is imperative to recognise specific constraints within this research. The bibliometric analysis methodology, although highly effective in visualising patterns and developments in scholarly literature, is fundamentally dependent on the accessibility and comprehensiveness of published works. It is possible that certain pertinent studies or developing trends were not included in our research due to constraints inherent in the Scopus database or the specific criteria we utilised for selection.

As the maritime sector progresses in its digitalisation efforts, there exist numerous prospects for more study in this field. Further research endeavours may focus on conducting in-depth investigations into particular facets of digital HRD, such as evaluating the efficacy of VR training simulations or examining the obstacles associated with data security within maritime organisations. Valuable insights could be derived by conducting empirical studies across various subsectors of the maritime industry or worldwide areas. Moreover, doing research on the enduring consequences of digital HRD on employee retention, workforce adaptation, and organisational performance measures would enhance our comprehension of the enduring implications of digitalisation. In addition, conducting research that investigates the incorporation of emerging technologies such as AI and blockchain into HRD practises within the marine industry has the potential to provide novel opportunities for fostering innovation and enhancing competitiveness.

In conclusion, this research underscores the pivotal role of digitalisation in HRD in bolstering the maritime sector’s competitiveness. By understanding the dynamics, challenges, and opportunities associated with digital HRD, maritime organisations and HRD practitioners can chart a course toward sustained success in an increasingly digital world. This research paves the way for future research endeavours aimed at further enhancing the industry’s capacity to thrive amidst evolving global demands.

Figures

Co-word analysis of digitalisation in HRD on organisational competitiveness

Figure 1

Co-word analysis of digitalisation in HRD on organisational competitiveness

Source of documents

Journal listNumber of documents
Business Horizons2
Energies3
Frontiers in Psychology2
Global Journal of Flexible Systems Management2
Human Resource Development International2
Human Resource Development Quarterly2
Human Resource Development Review3
International Journal of Human Resource Management2
Journal of Advances in Management Research2
SA Journal of Human Resource Management3
Sensors2
Sustainability (Switzerland)4

Source(s): Authors

Impact of digitalisation in HRD on organisational competitiveness

Author(s)ImpactExplanation
Theme: HR operations
Aldulaimi et al. (2021), Almaghaslah et al. (2023), Azeem et al. (2021), Daradkeh (2019), Köchling and Wehner (2020), Rehman et al. (2022)Enhancing recruitment and talent acquisitionThe implementation of digitalisation in the field of HRD enables firms to enhance the efficiency and effectiveness of their recruitment procedures. Organisations have the ability to utilise technology as a means to attract highly skilled individuals, administer online evaluations, and employ data analytics for efficient candidate evaluation. This practise enhances the calibre of recruitment and confers a competitive advantage upon the business through the acquisition of appropriate skills and expertise
Malik et al. (2022), Qamar et al. (2021)Assisting HR with AI-poweredDigitalisation enables firms to utilise AI-powered HR assistants or chatbots in order to deliver prompt and precise solutions to HR-related enquiries for employees. AI assistants possess the capability to effectively manage and address regular HR enquiries, furnish comprehensive information regarding organisational rules and processes, and aid employees in accessing HR services. This programme increases the delivery of HR services, improves the overall employee experience, and allows HR professionals to allocate their time and efforts towards more strategic endeavours, thereby contributing to the organisation’s competitive advantage
Kostev and Dimitrova (2022), Scupola and Pullich (2020), Shukla and Bhandari (2019), Zavyalova et al. (2022), Zhao et al. (2019)Enhancing efficiency in HR operationsDigitalisation facilitates the automation and optimisation of regular HR tasks, including but not limited to payroll management, benefits administration, and maintenance of personnel records. The use of this approach results in a reduction of administrative costs, a minimisation of errors, and enables HR experts to allocate their attention towards strategic projects. Efficient HR operations have the capacity to effectively utilise time and resources, so allowing firms to allocate more resources towards the development of talent and fostering innovation. Consequently, this enhances their overall competitiveness in the market
Theme: Learning and development
Ajgaonkar et al. (2022), Kretschmer et al. (2014), Lee and Wo (2022), Mustafa et al. (2019), Pappas et al. (2019)Improving the agility in learning and developmentThe process of digitalisation empowers firms to offer adaptable and individualised learning opportunities to their workforce. Online learning platforms, virtual classrooms, and e-learning modules facilitate the acquisition of knowledge and skills at one’s own speed, so enabling individuals to enhance and adapt their abilities. This practise strengthens the skills of personnel, ensuring that they remain informed with industry trends. Additionally, it enables businesses to swiftly respond to shifting market demands, ultimately leading to an improvement in competitiveness
Harborth and Kümpers (2022), Khandelwal and Upadhyay (2021), Remondino (2020)Enhancing training by using VR and ARDigital technologies, such as VR and AR, have the potential to augment training and development programmes by facilitating immersive learning experiences. VR and AR simulations provide employees the opportunity to engage in skill practise within highly realistic virtual environments, so enhancing their capacity to retain knowledge and improve essential abilities. The integration of VR and AR technologies into training programmes facilitates the cultivation of a proficient workforce within enterprises, hence conferring a distinct competitive edge
Baral et al. (2022), De Mauro et al. (2018), Mazurchenko and Maršíková (2019), Tortora et al. (2021)Improving the digital skills for gap assessmentDigitalisation allows firms to evaluate employees’ digital skills and pinpoint areas of improvement by utilising online tests and skill evaluation platforms. This facilitates the comprehension of digital competencies within firms and enables the formulation of focused training initiatives aimed at addressing skill deficiencies. Organisations may boost their competitiveness in the digital age by ensuring that their staff has the requisite digital skills
Díaz Redondo et al. (2021), Küpper et al. (2021), Polyanska et al. (2022), Sampath et al. (2021), Sengupta et al. (2021), Skalka et al. (2021)Enabling gamification and microlearningDigitalisation facilitates the incorporation of gamification features and microlearning approaches into training programmes. The implementation of gamification strategies has been found to have a positive impact on employee engagement, motivation, and knowledge retention. Microlearning is a pedagogical approach that facilitates learning by delivering content in small, easily digestible units. This method enables employees to acquire knowledge and build skills gradually, hence enhancing their overall learning experience. These novel strategies bolster the organisation’s competitive edge by cultivating a culture that prioritises ongoing learning
Petrilli et al. (2022), Reina et al. (2021), Wibowo et al. (2020)Promoting remote onboarding and trainingThe process of digitalisation enables firms to effectively onboard and provide training to staff who are working remotely. Virtual onboarding programmes, e-learning courses, and video conferencing tools facilitate the rapid assimilation of new employees into the organisational culture and expedite their knowledge acquisition process. The ability to adapt onboarding and training processes to accommodate remote work models facilitates the recruitment of highly skilled individuals from various locations, hence bolstering an organisation’s competitive advantage
Cortellazzo et al. (2019), Nurabadi et al. (2022)Developing digital leadershipDigitalisation enhances leadership development programmes through the provision of online modules for leadership training, virtual sessions for coaching, and digital resources dedicated to leadership development. Digital leadership development programmes have been found to effectively strengthen the leadership capabilities of employees, equipping them with the necessary skills and knowledge to excel in future leadership positions. Moreover, these programmes play a crucial part in bolstering the organisation’s competitive advantage by establishing a robust leadership pipeline
Theme: Performance management
Akhtar and Sushil (2018), Cardador et al. (2017), Chen et al. (2021), Doll (2022), Meghana and Vijaya (2019), Pillai and Sivathanu (2022)Continuing efficient performance managementDigital tools and platforms play a significant role in enabling the provision of constant feedback, the establishment of goals, and the monitoring of performance. Real-time performance management systems facilitate the identification of high-performing individuals inside businesses, as well as the identification and resolution of skill deficiencies. Additionally, these systems aid in the alignment of individual goals with the overarching objectives of the organisation. The utilisation of a data-driven approach enhances employee engagement, productivity, and overall organisational performance, hence resulting in a competitive edge
Benlian et al. (2022), Tomczak et al. (2018), Vardarlier (2020), Visser (2020), Weideman and Hofmeyr (2020), Wong et al. (2021)Continuing performance feedbackDigital tools facilitate the transition of businesses from conventional annual performance evaluations to a more iterative feedback methodology. The utilisation of real-time feedback, coaching platforms, and performance monitoring systems provides employees with the means to continuously enhance their skills and performance. The emphasis placed on ongoing improvement and development has a significant role in enhancing the competitiveness of the firm
Caughlin and Bauer (2019), Chapano et al. (2022), Corsaro and Maggioni (2022), McCartney et al. (2020), Votto et al. (2021)Visualising employee performance dataDigitalisation enables firms to effectively represent employee performance data using interactive and aesthetically pleasing dashboards and infographics. Data visualisation technologies facilitate the enhanced analysis of performance data, enabling HR professionals and managers to efficiently discern patterns and communicate valuable insights to relevant stakeholders. The utilisation of this advanced data visualisation technique enhances the process of decision-making, performance management, and overall competitiveness within a business
Theme: Employee experience and engagement
Samoliuk et al. (2022), Sumathi and Sujatha (2022), Suseno et al. (2022), Zel and Kongar (2020)Enhancing employee experienceThe implementation of digitalisation in the field of HRD has been found to significantly improve the entire employee experience. This is achieved through the provision of self-service portals, employee engagement platforms, and digital communication channels. These instruments have the capacity to enhance the capabilities of individuals, augment their overall job happiness, and cultivate a conducive work environment characterised by positivity. Organisations that place a high priority on enhancing employee experience are able to acquire a competitive advantage by effectively attracting and retaining highly skilled and talented individuals
Belyaeva and Kozieva (2021), Chand et al. (2022), Ewing et al. (2019), Lyons and Bandura (2022), Surma et al. (2021)Improving employee engagementDigital tools and platforms facilitate the enhancement of employee engagement within firms by offering various features, including surveys, feedback mechanisms, recognition programmes, and social collaboration platforms. Enhanced levels of employee engagement have been found to positively correlate with increased productivity, reduced turnover rates, and the cultivation of a more favourable work environment, hence augmenting the competitive advantage of the company
Amankwah-Amoah et al. (2021), Chanana and Sangeeta (2021), Fenech et al. (2019)Implementing remote employee recognition and rewards programsThe implementation of remote employee recognition and incentives programmes is facilitated by digitalisation. Digital platforms offer employees the opportunity to get acknowledgement for their accomplishments, obtain virtual prizes, and participate in peer-to-peer recognition. The implementation of remote employee recognition strategies has been found to have a positive impact on staff motivation, engagement, and retention, hence enhancing the overall competitiveness of the firm
Dinh et al. (2021), Lalić et al. (2020), Zel and Kongar (2020)Conducting virtual employee engagement activities and eventsDigitalisation enables firms to facilitate virtual employee engagement activities and events. Virtual team-building exercises, online recognition programmes, and virtual social events facilitate the development of a sense of affiliation and connectivity among geographically dispersed and distant teams. The implementation of virtual engagement activities has been found to have a positive impact on employee satisfaction, well-being, and the overall competitiveness of organisations
Arriscado et al. (2019), Graham and Cascio (2018), Kucherov and Zhiltsova (2021), Sajid et al. (2022)Enhancing employer brandingDigitalisation presents a range of possibilities for organisations to effectively demonstrate their culture, values, and employer brand via diverse online channels, including social media platforms and company websites. Organisations that successfully utilise digital platforms for the purpose of employer branding have the ability to attract high-calibre people, distinguish themselves from rival entities, and develop a robust employer brand, thereby gaining a competitive edge in the talent market
Chaudhuri et al. (2020), Orzeł and Wolniak (2022), Ruël and Lake (2014), Swart et al. (2022), Vyas (2022), Wu and Kao (2022), Zaki (2019), Zappalà et al. (2021)Transforming remote work and flexibilityThe advent of digitalisation has brought about substantial changes in work practises, facilitating the adoption of remote work and flexible work arrangements. Organisations that adopt digital technologies for virtual collaboration, project management, and communication have the opportunity to access a diverse talent pool on a worldwide scale, achieve cost efficiencies in their operations, and enhance the work-life equilibrium for their workforce. The aforementioned adaptability contributes to the organisation’s competitive advantage by attracting a wide range of skilled individuals and accommodating evolving work preferences
Ghobadi and D’Ambra (2012), Hirudayaraj and Matić (2021), Lin et al. (2012), Ma and Li (2022), Nguyen et al. (2018), Swart et al. (2022)Promoting collaborative and cross-functional workThe process of digitalisation facilitates enhanced collaboration and knowledge dissemination among many teams, departments, and geographical locations. Virtual collaboration tools, project management software, and online communication platforms facilitate the smooth collaboration of employees. Cross-functional collaboration facilitates innovation, boosts problem-solving abilities, and strengthens organisational competitiveness through the utilisation of multiple viewpoints and expertise
Theme: Strategic Impact
Campi et al. (2021b), McIver et al. (2018), Tamm et al. (2022)Enabling data-driven decision makingDigitalisation allows firms to gather and evaluate extensive quantities of HR data. By utilising data analytics, firms have the ability to obtain valuable information pertaining to various aspects of their workforce, such as employee performance, levels of engagement, patterns of attrition, and the demographics of their workforce. The utilisation of a data-driven decision-making method enables firms to optimise their HR strategies, allocate resources in an efficient manner, and make well-informed decisions that contribute to enhancing competitiveness
Chaturvedi (2016), Dhanpat et al. (2020), Hubschmid-Vierheilig et al. (2020), Johnson et al. (2021), Joseph Cho and Daim (2020), Salutina et al. (2021)Utilising predictive analytics and strategic planningThrough the application of predictive analytics, firms have the ability to anticipate and project their future workforce requirements, discern areas where skills are lacking, and formulate proactive approaches to recruiting and employee retention. The process of digitalisation provides organisations with the ability to effectively integrate their HRD initiatives with long-term strategic objectives. This helps them to maintain a competitive advantage by proactively anticipating and tackling future difficulties related to their workforce
Fusarelli et al. (2018), Griffith et al. (2019), Jackson and Dunn-Jensen (2021), Al Suwaidi et al. (2020)Creating effective succession planningThe process of digitalisation enables firms to effectively identify individuals with high potential, evaluate their preparedness for leadership positions, and develop efficient strategies for succession planning. By leveraging talent analytics and performance data, businesses are able to strategically develop and cultivate potential leaders, thereby facilitating a seamless transition in critical roles. The use of this strategic approach to succession planning enhances the competitive advantage of the organisation through the establishment of a robust leadership pipeline
Arcelay et al. (2021), Johnson et al. (2021), Kifor et al. (2021), Marsh and Farrell (2015), McIver et al. (2018)Enabling predictive workforce analyticsThe process of digitalisation empowers firms to utilise predictive analytics in order to anticipate future workforce requirements, detect deficiencies in skills, and take proactive measures to mitigate shortages in talent. Through the examination and interpretation of HR data, businesses possess the ability to make decisions based on empirical evidence and formulate plans aimed at ensuring the presence of suitable personnel to effectively address forthcoming needs. Strategic workforce planning plays a pivotal role in enhancing the competitive advantage of a firm
Aamer et al. (2023), Aljapurkar et al. (2022), De Alwis et al. (2022)Improving operational efficiency with integration of automation and AIThe incorporation of automation and AI technology inside HRD procedures has the potential to greatly enhance operational efficiency. Automated workflows, chatbots designed to handle employee enquiries, and AI-driven algorithms utilised for resume screening and candidate matching serve to optimise and enhance HR operations. This automation enables HR professionals to use their time more efficiently, enabling them to concentrate on strategic objectives and make valuable contributions to the organisation’s competitive advantage
Gupta et al. (2022), López-Aguilar et al. (2022), Mishra et al. (2022), Tao et al. (2019)Enhancing data security and privacyThe advent of digitalisation necessitates the implementation of comprehensive procedures to ensure data security and privacy. Organisations have the option to allocate resources towards the implementation of cybersecurity solutions, data encryption measures, and privacy protocols in order to protect employee data and ensure adherence to regulatory obligations. The organisation’s reputation and competitive position are bolstered via the demonstration of a steadfast dedication to data security and privacy

Source(s): Compiled from various sources

References

Aamer, A.K.A., Hamdan, A. and Abusaq, Z. (2023), “The impact of artificial intelligence on the human resource industry and the process of recruitment and selection”, edited by Alareeni, B., Hamdan, A., Khamis, R. and El Khoury, R., International Conference on Business and Technology, ICBT 2022, Springer Science and Business Media Deutschland GmbH, the Gulf Downstream Association, Awali, Bahrain, doi: 10.1007/978-3-031-26953-0_57.

Adegoriola, M.I., Lai, J.H.K., Chan, E.H. and Amos, D. (2021), “Heritage building maintenance management (HBMM): a bibliometric-qualitative analysis of literature”, Journal of Building Engineering, Vol. 42, 102416, doi: 10.1016/j.jobe.2021.102416.

Ajgaonkar, S., Neelam, N., Behl, A., Dao, L.T. and Lang, L.D. (2022), “Exploring human resource work design, learning mechanism and TQM: through the lens of activity theory and contextual learning theory”, TQM Journal, Vol. 34 No. 1, pp. 70-101, doi: 10.1108/TQM-03-2021-0085.

Akdere, M. and Egan, T. (2020), “Transformational leadership and human resource development: linking employee learning, job satisfaction, and organizational performance”, Human Resource Development Quarterly, Vol. 31 No. 4, pp. 393-421, doi: 10.1002/hrdq.21404.

Akdere, M., Jiang, Y. and Acheson, K. (2023), “To simulate or not to simulate? Comparing the effectiveness of video-based training versus virtual reality-based simulations on interpersonal skills development”, Human Resource Development Quarterly, Vol. 34 No. 4, pp. 437-462, doi: 10.1002/hrdq.21470.

Akhtar, M. and Sushil, S. (2018), “Strategic performance management system in uncertain business environment: an empirical study of the Indian oil industry”, Business Process Management Journal, Vol. 24 No. 4, pp. 923-942, doi: 10.1108/BPMJ-05-2017-0102.

Al Suwaidi, M., Jabeen, F., Stachowicz-Stanusch, A. and Webb, M. (2020), “Determinants linked to executive succession planning in public sector organizations”, Vision, Sage Publications India Pvt., Vol. 24 No. 3, pp. 284-299, doi: 10.1177/0972262920932405.

Alam, S. and Dhamija, P. (2022), “Human resource development 4.0 (HRD 4.0) in the apparel industry of Bangladesh: a theoretical framework and future research directions”, International Journal of Manpower, Vol. 43 No. 2, pp. 263-285, doi: 10.1108/IJM-06-2021-0372.

Aldulaimi, S.H., Abdeldayem, M.M., Mowafak, B.M. and Abdulaziz, M.M. (2021), “Experimental perspective of artificial intelligence technology in human resources management”, Studies in Computational Intelligence, Springer Science and Business Media Deutschland GmbH, College of Administrative Sciences, Applied Science University (ASU), Manama, doi: 10.1007/978-3-030-72080-3_26.

Aljapurkar, A.V., Purandare, S.P. and Ingawale, S.D. (2022), “Metamorphose recruitment process through artificial intelligence”, Revolutionizing Business Practices through Artificial Intelligence and Data-Rich Environments, IGI Global, pp. 237-258, doi: 10.4018/978-1-6684-4950-9.ch013.

Almaghaslah, Z., Hamdan, A. and Tunsi, W. (2023), “Introducing artificial intelligence to human resources management”, edited by Alareeni, B., Hamdan, A., Khamis, R. and El Khoury, R., International Conference on Business and Technology, ICBT 2022, Springer Science and Business Media Deutschland GmbH, College of Business and Finance, Manama, Bahrain, doi: 10.1007/978-3-031-26953-0_52.

Alnıpak, S. and Toraman, Y. (2023), “Analysing the intention to use blockchain technology in payment transactions of Turkish maritime industry”, Quality and Quantity, Vol. 58 No. 3, pp. 2103-2123, doi: 10.1007/s11135-023-01735-3.

Amankwah-Amoah, J., Khan, Z., Wood, G. and Knight, G. (2021), “COVID-19 and digitalization: the great acceleration”, Journal of Business Research, Vol. 136, pp. 602-611, doi: 10.1016/j.jbusres.2021.08.011.

Ameen, N., Tarhini, A., Reppel, A. and Anand, A. (2021), “Customer experiences in the age of artificial intelligence”, Computers in Human Behavior, Vol. 114, 106548, doi: 10.1016/j.chb.2020.106548.

Arcelay, I., Goti, A., Oyarbide-Zubillaga, A., Akyazi, T., Alberdi, E. and Garcia-Bringas, P. (2021), “Definition of the future skills needs of job profiles in the renewable energy sector”, Energies, Vol. 14 No. 9, 2609, doi: 10.3390/en14092609.

Arriscado, P., Quesado, H. and Sousa, B. (2019), “Employer branding in the digital era attracting and retaining millennials using digital media”, Studies in Systems, Decision and Control, Springer International Publishing, IPAM—The Marketing School, Laureate International Universities, Oporto, doi: 10.1007/978-3-319-91860-0_23.

Autsadee, Y., Jeevan, J., Mohd Salleh, N.H.B. and Othman, M.R.B. (2023a), “Digital tools and challenges in human resource development and its potential within the maritime sector through bibliometric analysis”, Journal of International Maritime Safety, Environmental Affairs, and Shipping, Vol. 7 No. 4, doi: 10.1080/25725084.2023.2286409.

Autsadee, Y., Jeevan, J., Bin Othman, M.R. and Mohd Salleh, N.H.B. (2023b), “Maritime Society 5.0: a global transition on human economy and civilisation for maritime sustainability”, Australian Journal of Maritime and Ocean Affairs, pp. 1-26, doi: 10.1080/18366503.2023.2287872.

Autsadee, Y., Jeevan, J., Othman, M.R.B. and Salleh, N.H.B.M. (2023c), “Evolution and current trends of human resource development in the maritime industry through performance analysis and science mapping procedures”, Journal of Maritime Research, Vol. 20 No. 2, pp. 148-161.

Awwad, A.S., Ababneh, O.M.A. and Karasneh, M. (2022), “The mediating impact of IT capabilities on the association between dynamic capabilities and organizational agility: the case of the Jordanian IT sector”, Global Journal of Flexible Systems Management, Vol. 23 No. 3, pp. 315-330, doi: 10.1007/s40171-022-00303-2.

Azeem, M., Ahmed, M., Haider, S. and Sajjad, M. (2021), “Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation”, Technology in Society, Vol. 66, 101635, doi: 10.1016/j.techsoc.2021.101635.

Bakhmat, N., Kolosova, O., Demchenko, O., Ivashchenko, I. and Strelchuk, V. (2022), “Application of international scientometric databases in the process of training competitive research and teaching staff: opportunities of web of science (WOS), SCOPUS, google scholar”, Journal of Theoretical and Applied Information Technology, Vol. 100 No. 13, pp. 4914-4924.

Banmairuroy, W., Kritjaroen, T. and Homsombat, W. (2022), “The effect of knowledge-oriented leadership and human resource development on sustainable competitive advantage through organizational innovation's component factors: evidence from Thailand ’s new S- curve industries”, Asia Pacific Management Review, Vol. 27 No. 3, pp. 200-209, doi: 10.1016/j.apmrv.2021.09.001.

Baral, S.K., Rath, R.C., Goel, R. and Singh, T. (2022), “Role of digital technology and artificial intelligence for monitoring talent strategies to bridge the skill gap”, 2022 International Mobile and Embedded Technology Conference, MECON 2022, Institute of Electrical and Electronics Engineers, pp. 582-587, doi: 10.1109/MECON53876.2022.9751837.

Belyaeva, T. and Kozieva, I. (2021), “Employee engagement in HR analytical systems”, Economic Annals-XXI, Vol. 186 Nos 11-12, pp. 94-102, doi: 10.21003/EA.V186-11.

Benlian, A., Wiener, M., Cram, W.A., Krasnova, H., Maedche, A., Möhlmann, M., Recker, J. and Remus, U. (2022), “Algorithmic management: bright and dark sides, practical implications, and research opportunities”, Business and Information Systems Engineering, Vol. 64 No. 6, pp. 825-839, doi: 10.1007/s12599-022-00764-w.

Borowski, P.F. (2021), “Digitization, digital twins, blockchain, and Industry 4.0 as elements of management process in enterprises in the energy sector”, Energies, Vol. 14 No. 7, 1885, doi: 10.3390/en14071885.

Campi, M.C., Carè, A. and Garatti, S. (2021a), “The scenario approach: a tool at the service of data-driven decision making”, Annual Reviews in Control, Vol. 52, pp. 1-17, doi: 10.1016/j.arcontrol.2021.10.004.

Campi, M.C., Carè, A. and Garatti, S. (2021b), “The scenario approach: a tool at the service of data-driven decision making”, Annual Reviews in Control, Vol. 52, pp. 1-17, doi: 10.1016/j.arcontrol.2021.10.004.

Cardador, M.T., Northcraft, G.B. and Whicker, J. (2017), “A theory of work gamification: something old, something new, something borrowed, something cool?”, Human Resource Management Review, Vol. 27 No. 2, pp. 353-365, doi: 10.1016/j.hrmr.2016.09.014.

Caughlin, D.E. and Bauer, T.N. (2019), “Data visualizations and human resource management: the state of science and practice”, in Research in Personnel and Human Resources Management, Emerald Group Publishing Ltd., School of Business, Portland State University, doi: 10.1108/S0742-730120190000037004.

Chakraborty, D. and Biswas, W. (2019), “Evaluating the impact of human resource planning programs in addressing the strategic goal of the firm: an organizational perspective”, Journal of Advances in Management Research, Vol. 16 No. 5, pp. 659-682, doi: 10.1108/JAMR-01-2019-0007.

Chanana, N. and Sangeeta (2021), “Employee engagement practices during COVID-19 lockdown”, Journal of Public Affairs, Vol. 21 No. 4, e2508, doi: 10.1002/pa.2508.

Chand, M., Ambardar, A. and Gupta, M. and Kusum (2022), “Impact of reward, recognition and welfare on employee engagement”, International Journal of Hospitality and Tourism Systems, Vol. 15 No. 2, pp. 79-88.

Chapano, M., Mey, M.R. and Werner, A. (2022), “Adoption of digital strategies across the human resource value chain”, SA Journal of Human Resource Management, Vol. 20, doi: 10.4102/sajhrm.v20i0.1992.

Chatterjee, S. and Mariani, M. (2022), “Exploring the influence of exploitative and explorative digital transformation on organization flexibility and competitiveness”, IEEE Transactions on Engineering Management, pp. 1-11, doi: 10.1109/TEM.2022.3220946.

Chaturvedi, V. (2016), “Talent analytics as an indispensable tool and an emerging facet of HR for organization building”, FIIB Business Review, Vol. 5 No. 3, pp. 13-20, doi: 10.1177/2455265820160302.

Chaudhuri, S., Arora, R. and Roy, P. (2020), “Work–life balance policies and organisational outcomes – a review of literature from the Indian context”, Industrial and Commercial Training, Vol. 52 No. 3, pp. 155-170, doi: 10.1108/ICT-01-2019-0003.

Chen, Y., Visnjic, I., Parida, V. and Zhang, Z. (2021), “On the road to digital servitization – the (dis)continuous interplay between business model and digital technology”, International Journal of Operations and Production Management, Vol. 41 No. 5, pp. 694-722, doi: 10.1108/IJOPM-08-2020-0544.

Colakoglu, S.S., Erhardt, N., Pougnet-Rozan, S. and Martin-Rios, C. (2019), “Reviewing creativity and innovation research through the strategic hrm lens”, Research in Personnel and Human Resources Management, Emerald Group Publishing, Scheller College of Business, Georgia Institute of Technology, Atlanta, GA, doi: 10.1108/S0742-730120190000037007.

Corsaro, D. and Maggioni, I. (2022), “Sales transformation: conceptual domain and dimensions”, Journal of Business and Industrial Marketing, Vol. 37 No. 3, pp. 686-703, doi: 10.1108/JBIM-11-2020-0512.

Cortellazzo, L., Bruni, E. and Zampieri, R. (2019), “The role of leadership in a digitalized world: a review”, Frontiers in Psychology, Vol. 10, AUG, 1938, doi: 10.3389/fpsyg.2019.01938.

Daradkeh, M.K. (2019), “Determinants of visual analytics adoption in organizations: knowledge discovery through content analysis of online evaluation reviews”, Information Technology and People, Vol. 32 No. 3, pp. 668-695, doi: 10.1108/ITP-10-2017-0359.

De Alwis, A.C., Andrlić, B. and Šostar, M. (2022), “The influence of E-HRM on modernizing the role of HRM context”, Economies, Vol. 10 No. 8, doi: 10.3390/economies10080181.

De Mauro, A., Greco, M., Grimaldi, M. and Ritala, P. (2018), “Human resources for Big Data professions: a systematic classification of job roles and required skill sets”, Information Processing and Management, Vol. 54 No. 5, pp. 807-817, doi: 10.1016/j.ipm.2017.05.004.

Dede, E. and Ozdemir, E. (2022), “Mapping and performance evaluation of mathematics education research in Turkey: a bibliometric analysis from 2005 to 2021”, Journal of Pedagogical Research, Vol. 6 No. 4, pp. 1-19, doi: 10.33902/JPR.202216829.

Dhanpat, N., Buthelezi, Z.P., Joe, M.R., Maphela, T.V. and Shongwe, N. (2020), “Industry 4.0: the role of human resource professionals”, SA Journal of Human Resource Management, Vol. 18, p. 10, doi: 10.4102/sajhrm.v18i0.1302.

Di Vaio, A., Varriale, L., Lekakou, M. and Stefanidaki, E. (2021), “Cruise and container shipping companies: a comparative analysis of sustainable development goals through environmental sustainability disclosure”, Maritime Policy and Management, Vol. 48 No. 2, pp. 184-212, doi: 10.1080/03088839.2020.1754480.

Díaz Redondo, R.P., Caeiro Rodríguez, M., López Escobar, J.J. and Fernández Vilas, A. (2021), “Integrating micro-learning content in traditional e-learning platforms”, Multimedia Tools and Applications, Vol. 80 No. 2, pp. 3121-3151, doi: 10.1007/s11042-020-09523-z.

Dinh, J.V., Reyes, D.L., Kayga, L., Lindgren, C., Feitosa, J. and Salas, E. (2021), “Developing team trust: leader insights for virtual settings”, Organizational Dynamics, Vol. 50 No. 1, 100846, doi: 10.1016/j.orgdyn.2021.100846.

Doll, J.L. (2022), “Developing workforce planning skills in human resource management courses: a data-driven exercise”, Management Teaching Review, Vol. 7 No. 1, pp. 89-108, doi: 10.1177/23792981211057227.

Donnellan, J. and Rutledge, W.L. (2019), “A case for resource-based view and competitive advantage in banking”, Managerial and Decision Economics, Vol. 40 No. 6, pp. 728-737, doi: 10.1002/mde.3041.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. and Lim, W.M. (2021), “How to conduct a bibliometric analysis: an overview and guidelines”, Journal of Business Research, Vol. 133, pp. 285-296, doi: 10.1016/j.jbusres.2021.04.070.

Dorasamy, N. (2021), “The search for talent management competence: incorporating digitilization”, International Journal of Entrepreneurship, Vol. 25 No. 3, pp. 1-21.

Ewing, M., Men, L.R. and O'Neil, J. (2019), “Using social media to engage employees: insights from internal communication managers”, International Journal of Strategic Communication, Vol. 13 No. 2, pp. 110-132, doi: 10.1080/1553118X.2019.1575830.

Fenech, R., Baguant, P. and Ivanov, D. (2019), “The changing role of human resource management in an era of digital transformation”, Journal of Management Information and Decision Sciences, Vol. 22 No. 2, pp. 176-180.

Fernandez, V. and Gallardo-Gallardo, E. (2021), “Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption”, Competitiveness Review, Vol. 31 No. 1, pp. 162-187, doi: 10.1108/CR-12-2019-0163.

Flaumenhaft, Y. and Ben-Assuli, O. (2018), “Personal health records, global policy and regulation review”, Health Policy, Vol. 122 No. 8, pp. 815-826, doi: 10.1016/j.healthpol.2018.05.002.

Freeman, R.E., Dmytriyev, S.D. and Phillips, R.A. (2021), “Stakeholder theory and the resource-based view of the firm”, Journal of Management, Vol. 47 No. 7, pp. 1757-1770, doi: 10.1177/0149206321993576.

Fusarelli, B.C., Fusarelli, L.D. and Riddick, F. (2018), “Planning for the future: leadership development and succession planning in education”, Journal of Research on Leadership Education, Vol. 13 No. 3, pp. 286-313, doi: 10.1177/1942775118771671.

Ghobadi, S. and D'Ambra, J. (2012), “Knowledge sharing in cross-functional teams: a coopetitive model”, Journal of Knowledge Management, Vol. 16 No. 2, pp. 285-301, doi: 10.1108/13673271211218889.

Graham, B.Z. and Cascio, W.F. (2018), “The employer-branding journey: its relationship with cross-cultural branding, brand reputation, and brand repair”, Management Research, Vol. 16 No. 4, pp. 363-379, doi: 10.1108/MRJIAM-09-2017-0779.

Griffith, J.A., Baur, J.E. and Buckley, M.R. (2019), “Creating comprehensive leadership pipelines: applying the real options approach to organizational leadership development”, Human Resource Management Review, Vol. 29 No. 3, pp. 305-315, doi: 10.1016/j.hrmr.2018.07.001.

Gupta, I., Dangi, S. and Sharma, S. (2022), “Augmented reality based human-machine interfaces in healthcare environment: benefits, challenges, and future trends”, 7th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2022, Institute of Electrical and Electronics Engineers Inc., Graphic Era (Deemed to Be University), Department of Computer Science and Engineering, Dehradun, India, pp. 251-257, doi: 10.1109/WiSPNET54241.2022.9767119.

Hallam, G., Thomas, A. and Beach, B. (2018), “Creating a connected future through information and digital literacy: strategic directions at the university of Queensland Library*”, Journal of the Australian Library and Information Association, Vol. 67 No. 1, pp. 42-54, doi: 10.1080/24750158.2018.1426365.

Harborth, D. and Kümpers, K. (2022), “Intelligence augmentation: rethinking the future of work by leveraging human performance and abilities”, Virtual Reality, Vol. 26 No. 3, pp. 849-870, doi: 10.1007/s10055-021-00590-7.

Hirudayaraj, M. and Matić, J. (2021), “Leveraging human resource development practice to enhance organizational creativity: a multilevel conceptual model”, Human Resource Development Review, Vol. 20 No. 2, pp. 172-206, doi: 10.1177/1534484321992476.

Hrustek, L. (2020), “Sustainability driven by agriculture through digital transformation”, Sustainability (Switzerland), Vol. 12 No. 20, pp. 1-18, doi: 10.3390/su12208596.

Hubschmid-Vierheilig, E., Rohrer, M. and Mitsakis, F. (2020), “Digital competence revolution and human resource development in the United Kingdom and Switzerland”, The Future of HRD, Vol. 1, pp. 53-91, doi: 10.1007/978-3-030-52410-4_3.

Jackson, N.C. and Dunn-Jensen, L.M. (2021), “Leadership succession planning for today's digital transformation economy: key factors to build for competency and innovation”, Business Horizons, Vol. 64 No. 2, pp. 273-284, doi: 10.1016/j.bushor.2020.11.008.

Jan, A.A., Lai, F.-W., Siddique, J., Zahid, M. and Ali, S.E.A. (2023), “A walk of corporate sustainability towards sustainable development: a bibliometric analysis of literature from 2005 to 2021”, Environmental Science and Pollution Research, Vol. 30 No. 13, pp. 36521-36532, doi: 10.1007/s11356-022-24842-4.

Jeevan, V.K.J. (2021), “On revamping and strengthening internship in libraries”, Annals of Library and Information Studies, Vol. 68 No. 3, pp. 275-288.

Johnson, M., Jain, R., Brennan-Tonetta, P., Swartz, E., Silver, D., Paolini, J., Mamonov, S. and Hill, C. (2021), “Impact of big data and artificial intelligence on industry: developing a workforce roadmap for a data driven economy”, Global Journal of Flexible Systems Management, Vol. 22 No. 3, pp. 197-217, doi: 10.1007/s40171-021-00272-y.

Jones, M.D., Hutcheson, S. and Camba, J.D. (2021), “Past, present, and future barriers to digital transformation in manufacturing: a review”, Journal of Manufacturing Systems, Vol. 60, pp. 936-948, doi: 10.1016/j.jmsy.2021.03.006.

Joseph Cho, Y. and Daim, T.U. (2020), “Investigating the sensing activities in strategic planning with multi-dimensional aspects: Timo”, International Journal of Innovation and Technology Management, Vol. 17 No. 5, doi: 10.1142/S0219877020500340.

Kaleem Awan, M.S. and Ghamdi, M.A.A. (2019), “Understanding the vulnerabilities in digital components of an integrated bridge system (IBS)”, Journal of Marine Science and Engineering, Vol. 7 No. 10, p. 350, doi: 10.3390/jmse7100350.

Khandelwal, K. and Upadhyay, A.K. (2021), “Virtual reality interventions in developing and managing human resources”, Human Resource Development International, Vol. 24 No. 2, pp. 219-233, doi: 10.1080/13678868.2019.1569920.

Kifor, C.V., Nicolaescu, S.S., Florea, A., Savescu, R.F., Receu, I., Tirlea, A.V. and Danut, R.E. (2021), “Workforce analytics in teleworking”, IEEE Access, Vol. 9, pp. 156451-156464, doi: 10.1109/ACCESS.2021.3129248.

Köchling, A. and Wehner, M.C. (2020), “Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development”, Business Research, Vol. 13 No. 3, pp. 795-848, doi: 10.1007/s40685-020-00134-w.

Kostev, R. and Dimitrova, S. (2022), “Modern training of business information systems in E-commerce”, 5th International Conference on High Technology for Sustainable Development, HiTech 2022, Institute of Electrical and Electronics Engineers, doi: 10.1109/HiTech56937.2022.10145578.

Kozinets, R.V. (2023), “Immersive netnography: a novel method for service experience research in virtual reality, augmented reality and metaverse contexts”, Journal of Service Management, Vol. 34 No. 1, pp. 100-125, doi: 10.1108/JOSM-12-2021-0481.

Kretschmer, A., Spinler, S. and Van Wassenhove, L.N. (2014), “A school feeding supply chain framework: critical factors for sustainable program design”, Production and Operations Management, Vol. 23 No. 6, pp. 990-1001, doi: 10.1111/poms.12109.

Kucherov, D. and Zhiltsova, E. (2021), “Social media in employer branding in FMCG in Russia: millennials' perspective”, Journal of East-West Business, Vol. 27 No. 2, pp. 160-183, doi: 10.1080/10669868.2020.1862383.

Küpper, D.M., Klein, K. and Völckner, F. (2021), “Gamifying employer branding: an integrating framework and research propositions for a new HRM approach in the digitized economy”, Human Resource Management Review, Vol. 31 No. 1, 100686, doi: 10.1016/j.hrmr.2019.04.002.

Lalić, D., Bošković, D., Milić, B., Havzi, S. and Spajić, J. (2020), “Virtual and augmented reality as a digital support to HR systems in production management”, edited by Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G. and Romero, D., IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020, Springer, Faculty of Technical Sciences, Department of Industrial Engineering and Management, University of Novi Sad, TrgDositejaObradovića 6, Novi Sad, Serbia, doi: 10.1007/978-3-030-57993-7_53.

Lee, M.C.C. and Wo, S.W. (2022), “Learning from mistakes climate scale: development and validation”, Frontiers in Psychology, Vol. 13, 911311, doi: 10.3389/fpsyg.2022.911311.

Lewandowska, A., Ullah, Z., AlDhaen, F.S., AlDhaen, E. and Yakymchuk, A. (2023), “Enhancing organizational social sustainability: exploring the effect of sustainable leadership and the moderating role of micro-level CSR”, Sustainability (Switzerland), Vol. 15, 11853, doi: 10.3390/su151511853.

Lin, Y., Wang, Y. and Kung, L. (2012), “Influences of cross-functional collaboration and knowledge creation on technology commercialization: evidence from high-tech industries”, Industrial Marketing Management, Vol. 49, pp. 128-138, doi: 10.1016/j.indmarman.2015.04.002.

López-Aguilar, P., Batista, E., Martínez-Ballesté, A. and Solanas, A. (2022), “Information security and privacy in railway transportation: a systematic review”, Sensors, Vol. 22 No. 20, p. 7698, doi: 10.3390/s22207698.

Lyons, P. and Bandura, R. (2022), “Coaching to enhance learning and engagement and reduce turnover”, Journal of Workplace Learning, Vol. 34 No. 3, pp. 295-307, doi: 10.1108/JWL-08-2021-0106.

Ma, Y. and Li, B. (2022), “Effect of digitalization on knowledge transfer from universities to enterprises: evidence from postdoctoral workstation of Chinese enterprises”, Technology in Society, Vol. 71, 102102, doi: 10.1016/j.techsoc.2022.102102.

Maghsoudi, M., Shokouhyar, S., Ataei, A., Ahmadi, S. and Shokoohyar, S. (2023), “Co-authorship network analysis of AI applications in sustainable supply chains: key players and themes”, Journal of Cleaner Production, Vol. 422, 138472, doi: 10.1016/j.jclepro.2023.138472.

Malik, A., Budhwar, P., Patel, C. and Srikanth, N.R. (2022), “The bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE”, International Journal of Human Resource Management, Vol. 33 No. 6, pp. 1148-1178, doi: 10.1080/09585192.2020.1859582.

Malini, T. and Srinivas, D.B. (2020), “Technological transcends: impact of Industrial 4.0 on human resource functions”, 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020, Institute of Electrical and Electronics Engineers, Nitte Meenakshi Institute of Technology, pp. 816-820, doi: 10.1109/I-SMAC49090.2020.9243338.

Marsh, J.A. and Farrell, C.C. (2015), “How leaders can support teachers with data-driven decision making: a framework for understanding capacity building”, Educational Management Administration and Leadership, Vol. 43 No. 2, pp. 269-289, doi: 10.1177/1741143214537229.

Martínez-Caro, E., Cegarra-Navarro, J.G. and Alfonso-Ruiz, F.J. (2020), “Digital technologies and firm performance: the role of digital organisational culture”, Technological Forecasting and Social Change, Vol. 154, 119962, doi: 10.1016/j.techfore.2020.119962.

Mazurchenko, A. and Maršíková, K. (2019), “Digitally-powered human resource management: skills and roles in the digital era”, Acta Informatica Pragensia, Vol. 8 No. 2, pp. 72-86, doi: 10.18267/j.aip.125.

McCartney, S., Murphy, C. and Mccarthy, J. (2020), “21st century HR: a competency model for the emerging role of HR analysts”, Personnel Review, Vol. 50 No. 6, pp. 1495-1513, doi: 10.1108/PR-12-2019-0670.

McIver, D., Lengnick-Hall, M.L. and Lengnick-Hall, C.A. (2018), “A strategic approach to workforce analytics: integrating science and agility”, Business Horizons, Vol. 61 No. 3, pp. 397-407, doi: 10.1016/j.bushor.2018.01.005.

Meghana, J. and Vijaya, R. (2019), “E-leadership, psychological contract and real-time performance management: remotely working professionals”, SCMS Journal of Indian Management, Vol. 16 No. 3, pp. 101-111.

Menéndez Blanco, J.M. and Montes-Botella, J.-L. (2017), “Exploring nurtured company resilience through human capital and human resource development: findings from Spanish manufacturing companies”, International Journal of Manpower, Vol. 38 No. 5, pp. 661-674, doi: 10.1108/IJM-11-2015-0196.

Mishra, A., Alzoubi, Y.I., Gill, A.Q. and Anwar, M.J. (2022), “Cybersecurity enterprises policies: a comparative study”, Sensors, Vol. 22 No. 2, p. 538, doi: 10.3390/s22020538.

Mouschoutzi, M. and Ponis, S.T. (2022), “A comprehensive literature review on spare parts logistics management in the maritime industry”, Asian Journal of Shipping and Logistics, Vol. 38 No. 2, pp. 71-83, doi: 10.1016/j.ajsl.2021.12.003.

Mustafa, M., Elliott, C. and Zhou, L. (2019), “Succession in Chinese family-SMEs: a gendered analysis of successor learning and development”, Human Resource Development International, Vol. 22 No. 5, pp. 504-525, doi: 10.1080/13678868.2019.1608123.

Nguyen, N.P., Ngo, L.V., Bucic, T. and Phong, N.D. (2018), “Cross-functional knowledge sharing, coordination and firm performance: the role of cross-functional competition”, Industrial Marketing Management, Vol. 71, pp. 123-134, doi: 10.1016/j.indmarman.2017.12.014.

Nurabadi, A., Triwiyanto, T., Gunawan, I., Valenda, O.Y., Pribadi, S.A., Darmawan, A., Nabila, A.W., Baharudin, A., Krisnafitriana, V. and Wardani, A.D. (2022), “Assessing validity and reliability of an instrument for measuring student digital leadership: example from Indonesia”, 8th International Conference on Education and Technology, ICET 2022, pp. 288-292, doi: 10.1109/ICET56879.2022.9990863.

Oriti, D., Manuri, F., Pace, F.D. and Sanna, A. (2023), “Harmonize: a shared environment for extended immersive entertainment”, Virtual Reality, Vol. 27 No. 4, pp. 3259-3272, doi: 10.1007/s10055-021-00585-4.

Orzeł, B. and Wolniak, R. (2022), “Digitization in the design and construction industry-remote work in the context of sustainability: a study from Poland”, Sustainability (Switzerland), Vol. 14 No. 3, 1332, doi: 10.3390/su14031332.

Otoo-Arthur, D. and van Zyl, T.L. (2020), “A scalable heterogeneous big data framework for e-learning systems”, in S., P. and U., S. (Eds.), 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, IcABCD 2020, Institute of Electrical and Electronics Engineers Inc., School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa, doi: 10.1109/icABCD49160.2020.9183863.

Papadopoulos, T., Baltas, K.N. and Balta, M.E. (2020), “The use of digital technologies by small and medium enterprises during COVID-19: implications for theory and practice”, International Journal of Information Management, Vol. 55, 102192, doi: 10.1016/j.ijinfomgt.2020.102192.

Pappas, M.A., Demertzi, E., Papagerasimou, Y., Koukianakis, L., Voukelatos, N. and Drigas, A. (2019), “Cognitive-based E-learning design for older adults”, Social Sciences, Vol. 8 No. 1, p. 6, doi: 10.3390/socsci8010006.

Petrilli, S., Galuppo, L. and Ripamonti, S.C. (2022), “Digital onboarding: facilitators and barriers to improve worker experience”, Sustainability (Switzerland), Vol. 14 No. 9, 5684, doi: 10.3390/su14095684.

Pillai, R. and Sivathanu, B. (2022), “Measure what matters: descriptive and predictive metrics of HRM-pathway toward organizational performance”, International Journal of Productivity and Performance Management, Vol. 71 No. 7, pp. 3009-3029, doi: 10.1108/IJPPM-10-2020-0509.

Podshivalov, T.P. (2022), “Improving implementation of the Blockchain technology in real estate registration”, Journal of High Technology Management Research, Vol. 33 No. 2, 100440, doi: 10.1016/j.hitech.2022.100440.

Polyanska, A., Andriiovych, M., Generowicz, N., Kulczycka, J. and Psyuk, V. (2022), “Gamification as an improvement tool for HR management in the energy industry—a case study of the Ukrainian market”, Energies, Vol. 15 No. 4, 1344, doi: 10.3390/en15041344.

Qamar, Y., Agrawal, R.K., Samad, T.A. and Chiappetta Jabbour, C.J. (2021), “When technology meets people: the interplay of artificial intelligence and human resource management”, Journal of Enterprise Information Management, Vol. 34 No. 5, pp. 1339-1370, doi: 10.1108/JEIM-11-2020-0436.

Rasool, S.F., Samma, M., Wang, M., Zhao, Y. and Zhang, Y. (2019), “How human resource management practices translate into sustainable organizational performance: the mediating role of product, process and knowledge innovation”, Psychology Research and Behavior Management, Vol. 12, pp. 1009-1025, doi: 10.2147/PRBM.S204662.

Rehman, S.U., Bresciani, S., Ashfaq, K. and Alam, G.M. (2022), “Intellectual capital, knowledge management and competitive advantage: a resource orchestration perspective”, Journal of Knowledge Management, Vol. 26 No. 7, pp. 1705-1731, doi: 10.1108/JKM-06-2021-0453.

Reina, R., Cristofaro, C.L., Ventura, M. and Vesperi, W. (2021), “Digitalize work in pandemic time: practices for remote working and job redesign in public organization”, in HR Analytics and Digital HR Practices: Digitalization Post COVID-19, Springer Nature, pp. 73-99, doi: 10.1007/978-981-16-7099-2_4.

Remondino, M. (2020), “Augmented reality in logistics: qualitative analysis for a managerial perspective”, International Journal of Logistics Systems and Management, Vol. 36 No. 1, pp. 1-5, doi: 10.1504/IJLSM.2020.107218.

Rosenbusch, K. (2020), “Technology intervention: rethinking the role of education and faculty in the transformative digital environment”, Advances in Developing Human Resources, Vol. 22 No. 1, pp. 87-101, doi: 10.1177/1523422319886297.

Ruël, H.J.M. and Lake, C. (2014), “Global talent management in mncs in the digital age: conceptualizing the GTM-ICT relationship”, Advanced Series in Management, Emerald Group Publishing, doi: 10.1108/S1877-636120140000014015.

Sajid, S., Volkova, N., Wilson, J.A. and Opoku-Asante, E. (2022), “Using text mining and crowdsourcing platforms to build employer brand in the US banking industry”, Global Business and Organizational Excellence, Vol. 41 No. 4, pp. 6-27, doi: 10.1002/joe.22153.

Salutina, T.Y., Klesareva, E.Y. and Platunina, G.P. (2021), “Big data as a management decision-making tool in digital business environments”, in Shaposhnikov, S.O. (Ed.), 2021 IEEE International Conference “‘Quality Management, Transport and Information Security, Information Technologies’”, T and QM and IS 2021, Institute of Electrical and Electronics Engineers, pp. 893-895, doi: 10.1109/ITQMIS53292.2021.9642918.

Samoliuk, N., Bilan, Y., Mishchuk, H. and Mishchuk, V. (2022), “Employer brand: key values influencing the intention to join a company”, Management and Marketing, Vol. 17 No. 1, pp. 61-72, doi: 10.2478/mmcks-2022-0004.

Sampath, G., Bhattacharyya, S.S. and Krishnamoorthy, B. (2021), “Microfoundations approach to strategic agility – exploration to operationalization”, Journal of General Management, Vol. 46 No. 2, pp. 103-128, doi: 10.1177/0306307020939359.

Sarker, E., Halder, P., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S. and Stojcevski, A. (2021), “Progress on the demand side management in smart grid and optimization approaches”, International Journal of Energy Research, Vol. 45 No. 1, pp. 36-64, doi: 10.1002/er.5631.

Schmidtner, M., Doering, C. and Timinger, H. (2021), “Agile working during COVID-19 pandemic”, IEEE Engineering Management Review, Vol. 49 No. 2, pp. 18-32, doi: 10.1109/EMR.2021.3069940.

Scupola, A. and Pullich, Z. (2020), “Business legitimacy and adoption of human resource information systems in Danish SMEs”, Handbook of Business Legitimacy: Responsibility, Ethics and Society, Springer International Publishing, pp. 1115-1127, doi: 10.1007/978-3-030-14622-1_116.

Sengupta, A., Lalwani, S., Goswami, S. and Srivastava, P. (2021), “Reinventing HR functions with SMAC technologies- an exploratory study”, Singh, Y. (Ed.), 2021 International Conference on Technological Advancements in Materials Science and Manufacturing, ICTAMSM 2021, Elsevier, Vol. 46, pp. 10169-10174, doi: 10.1016/j.matpr.2020.10.875.

Shukla, V.K. and Bhandari, N. (2019), “Conceptual framework for enhancing payroll management and attendance monitoring system through RFID and biometric”, 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, Institute of Electrical and Electronics Engineers, pp. 188-192, doi: 10.1109/AICAI.2019.8701316.

Skalka, J., Drlik, M., Benko, L., Kapusta, J., Del Pino, J.C.R., Smyrnova-Trybulska, E., Stolinska, A., Svec, P. and Turcinek, P. (2021), “Conceptual framework for programming skills development based on microlearning and automated source code evaluation in virtual learning environment”, Sustainability (Switzerland), Vol. 13 No. 6, 3293, doi: 10.3390/su13063293.

Su, M. and Rungruang, P. (2024), “Mapping the knowledge base and theoretical evolution of workplace conflict outcomes: a bibliometric and qualitative review, 1972-2022”, International Journal of Conflict Management, Vol. 35 No. 2, pp. 360-386, doi: 10.1108/IJCMA-02-2023-0025.

Sumathi, K. and Sujatha, S. (2022), “Impact of talent management on organizational effectiveness: mediating role on organizational sustainability”, 1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021, Institute of Physics, Vol. 107, pp. 15825-15829, doi: 10.1149/10701.15825ecst.

Surma, M.J., Nunes, R.J., Rook, C. and Loder, A. (2021), “Assessing employee engagement in a post-Covid-19 workplace ecosystem”, Sustainability (Switzerland), Vol. 13 No. 20, 11443, doi: 10.3390/su132011443.

Suseno, Y., Chang, C., Hudik, M. and Fang, E.S. (2022), “Beliefs, anxiety and change readiness for artificial intelligence adoption among human resource managers: the moderating role of high-performance work systems”, International Journal of Human Resource Management, Vol. 33 No. 6, pp. 1209-1236, doi: 10.1080/09585192.2021.1931408.

Swart, K., Bond-Barnard, T. and Chugh, R. (2022), “Challenges and critical success factors of digital communication, collaboration and knowledge sharing in project management virtual teams: a review”, International Journal of Information Systems and Project Management, Vol. 10 No. 4, pp. 59-75, doi: 10.12821/ijispm100404.

Tamm, T., Hallikainen, P. and Tim, Y. (2022), “Creative analytics: towards data-inspired creative decisions”, Information Systems Journal, Vol. 32 No. 4, pp. 729-753, doi: 10.1111/isj.12369.

Tao, H., Bhuiyan, M.Z.A., Rahman, M.A., Wang, G., Wang, T., Ahmed, M.M. and Li, J. (2019), “Economic perspective analysis of protecting big data security and privacy”, Future Generation Computer Systems, Vol. 98, pp. 660-671, doi: 10.1016/j.future.2019.03.042.

Thite, M. (2022), “Digital human resource development: where are we? Where should we go and how do we go there?”, Human Resource Development International, Vol. 25 No. 1, pp. 87-103, doi: 10.1080/13678868.2020.1842982.

Tomczak, D.L., Lanzo, L.A. and Aguinis, H. (2018), “Evidence-based recommendations for employee performance monitoring”, Business Horizons, Vol. 61 No. 2, pp. 251-259, doi: 10.1016/j.bushor.2017.11.006.

Tong, H. (2022), “The future development and restructuring of the international shipping industry: conference report”, Marine Policy, Vol. 137, 104956, doi: 10.1016/j.marpol.2022.104956.

Tortora, D., Chierici, R., Farina Briamonte, M. and Tiscini, R. (2021), “‘I digitize so I exist’. Searching for critical capabilities affecting firms' digital innovation”, Journal of Business Research, Vol. 129, pp. 193-204, doi: 10.1016/j.jbusres.2021.02.048.

Vardarlier, P. (2020), “Digital transformation of human resource management: digital applications and strategic tools in HRM”, Contributions to Management Science, Springer, Department of Human Resources Management, School of Business, Istanbul Medipol University, Beykoz, Istanbul, doi: 10.1007/978-3-030-29739-8_11.

Varshney, D. (2020), “Digital transformation and creation of an agile workforce: exploring company initiatives and employee attitudes”, Contemporary Global Issues in Human Resource Management, Emerald Group Publishing Ltd., CMS Business School, Jain University, pp. 89-105, doi: 10.1108/978-1-80043-392-220201009.

Visser, W.F. (2020), “A blueprint for performance-driven operations management”, Mining, Metallurgy and Exploration, Vol. 37 No. 3, pp. 823-831, doi: 10.1007/s42461-020-00199-5.

Votto, A.M., Valecha, R., Najafirad, P. and Rao, H.R. (2021), “Artificial intelligence in tactical human resource management: a systematic literature review”, International Journal of Information Management Data Insights, Vol. 1 No. 2, 100047, doi: 10.1016/j.jjimei.2021.100047.

Vyas, L. (2022), “‘New normal’ at work in a post-COVID world: work–life balance and labor markets”, Policy and Society, Vol. 41 No. 1, pp. 155-167, doi: 10.1093/polsoc/puab011.

Weideman, M. and Hofmeyr, K.B. (2020), “The influence of flexible work arrangements on employee engagement: an exploratory study”, SA Journal of Human Resource Management, Vol. 18, doi: 10.4102/sajhrm.v18i0.1209.

Wibowo, E.B., Legionosuko, T. and Mahroza, J. (2020), “Industry 4.0: challenges and opportunities in competency development for defense apparatus' human resources”, International Journal of Advanced Science and Technology, Vol. 29 No. 7, pp. 45-60.

Wong, S.I., Bunjak, A., Černe, M. and Fieseler, C. (2021), “Fostering creative performance of platform crowdworkers: the digital feedback Dilemma”, International Journal of Electronic Commerce, Vol. 25 No. 3, pp. 263-286, doi: 10.1080/10864415.2021.1942674.

Wu, A.-C. and Kao, D.-D. (2022), “Mapping the sustainable human-resource challenges in Southeast Asia's FinTech sector”, Journal of Risk and Financial Management, Vol. 15 No. 7, p. 307, doi: 10.3390/jrfm15070307.

Zaki, M. (2019), “Digital transformation: harnessing digital technologies for the next generation of services”, Journal of Services Marketing, Vol. 33 No. 4, pp. 429-435, doi: 10.1108/JSM-01-2019-0034.

Zappalà, S., Toscano, F. and Topa, G. (2021), “The implementation of a remote work program in an Italian municipality before Covid-19: suggestions to hr officers for the post-Covid-19 era”, European Journal of Investigation in Health, Psychology and Education, Vol. 11 No. 3, pp. 866-877, doi: 10.3390/ejihpe11030064.

Zavyalova, E., Sokolov, D., Kucherov, D. and Lisovskaya, A. (2022), “The digitalization of human resource management: present and future”, Foresight and STI Governance, Vol. 16 No. 2, pp. 42-51, doi: 10.17323/2500-2597.2022.2.42.51.

Zel, S. and Kongar, E. (2020), “Transforming digital employee experience with artificial intelligence”, 2020 IEEE/ITU International Conference on Artificial Intelligence for Good, AI4G 2020, Institute of Electrical and Electronics Engineers, pp. 176-179, doi: 10.1109/AI4G50087.2020.9311088.

Zeng, Z. and Qi, L. (2021), “Internet + artificial intelligence’ human resource information management system construction innovation and research”, Mathematical Problems in Engineering, Vol. 2021, pp. 1-11, doi: 10.1155/2021/5585753.

Zhao, H., Zhao, Q.H. and Ślusarczyk, B. (2019), “Sustainability and digitalization of corporate management based on augmented/virtual reality tools usage: China and other world IT companies' experience”, Sustainability (Switzerland), Vol. 11 No. 17, 4717, doi: 10.3390/su11174717.

Corresponding author

Yuthana Autsadee can be contacted at: yuthana.au@ku.th

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