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Studies show that the twenty-first-century construction industry needs reskilling and upskilling tools to train large numbers of the workforce for better-integrated project delivery. Evidence shows that digitisation via the fourth industrial revolution (4IR) technology can play a critical role in reskilling and competency demand. Attempting to use digital technology may have had some challenges. Studies about the perceived hindrances facing Nigeria's built environment professionals (BEP) reskilling and upskilling needs in the workplace via 4IR technologies are scarce. Thus, the study investigated the perceived encumbrances facing Nigeria's BEP training needs and proffered measures to improve their performance in the workplace via 4IR technologies.

The researchers engaged BEP in Lagos and Abuja, Nigeria. Regarding the data collection, a qualitative research design was adopted. The study achieved saturation after 32 virtual interviews. A thematic analysis was adopted for the collected data.

The study shows that using 4IR for reskilling and upskilling will enhance integrated project delivery. But the level of usage in training needs is low. Findings identified the various ways reskilling and upskilling could be achieved. Also identified are the major built environment areas that require 4IR training. Findings highlighted possible encumbrances facing the use of 4IR technologies by Nigerian BEP for reskilling and upskilling needs in the workplace and proffered feasible measures to improve 4IR usage for training needs.

The study is restricted to the perceived encumbrances and proffers measures to improve BEP reskilling and upskilling needs via 4IR technologies via a qualitative method. Future research is required to validate the findings and test the proposed framework that emerged from the study.

The study confirms that reskilling and upskilling measures are required at all skill levels and may lead to economic growth. The paper would advance Nigerian higher educational accreditation agencies and various BEP regulatory bodies to review the curriculum and incorporate 4IR as a component or module.

The thematic network analysis and proposed framework could be utilised to stimulate Nigeria's BEP reskilling and upskilling needs in the workplace via 4IR technologies. It would stir main stakeholders, especially government policymakers, to facilitate programmes to improve 4IR technologies usage.

This research explores the link between job redesign and skilling in three Lebanese service provider industries, aiming to understand how these factors affect organizational agility, a crucial factor for efficiency and effectiveness and promote long-term interventions through job redesign, upskilling and reskilling.

This study employed two surveys, one for personnel (employees) and one for human aid managers (HR managers). These surveys collected data from 384 employees and 67 HR managers. The study utilized a work design questionnaire (WDQ), skilling application evaluation and the change acceptance model and testing to evaluate job redesign, skilling application effectiveness, technology acceptance and change readiness.

It was revealed that there is a significant and positive relationship between job redesign and the application of skilling programs. This relationship was shown to enhance organizational agility, with a particular focus on employees' technology acceptance and readiness for change. The integrated framework that combines job redesign, upskilling and reskilling was empirically tested and found to enable organizations to build their agility. The study also identified challenges and offered solutions for implementation, emphasizing the importance of employee responsiveness.

This research emphasizes the need for organizations to adapt job designs and enhance employee skills to enhance organizational agility, recommending a structured approach that combines job redesign and skill development efforts.

This research integrates job redesign, upskilling and reskilling in Lebanese service provider industries, contributing to organizational change and workforce development. It emphasizes technology acceptance and readiness for change.

This study aims to examine the impact of artificial intelligence (AI) adoption on job insecurity and its subsequent effect on turnover intentions within the hotel industry. It investigated how AI-induced job insecurity affects the likelihood of employees considering leaving their current hotel jobs for other hotels or for opportunities outside the hotel sector, mediated by feelings of job stress and insecurity.

Quantitative data analysis used 259 responses from frontline hotel employees. Confirmatory factor analysis was used to explore the factor structure and assess model fit indices. Structural equation modeling was then applied to test the hypotheses.

Findings reveal that AI awareness has a positive impact on job stress and insecurity. Moreover, job insecurity is found to positively affect turnover intentions, with a notably stronger effect observed for turnover intentions toward non-hotel companies. Additionally, the influence of social capital as a moderator on the relationship between job insecurity and turnover intention varies depending on the specific dimensions of turnover intention.

This study contributes to enhancing both theoretical frameworks and empirical insights into turnover dynamics within the hotel sector. However, future research should take into account employees’ positions, roles, organizations and career levels by examining these factors in relation to technology awareness, job stress, job insecurity and turnover intention.

This study initially focuses on the phenomenon of dynamic turnover issues within the hospitality sector, offering empirical and practical perspectives on effectively integrating new technologies and managing human resources amidst the automation and AI era.

本研究探讨了人工智能（AI）应用对酒店业工作不安全感的影响, 以及其对员工流失意向的后续影响。研究调查了AI引发的工作不安全感如何通过工作压力和不安全感的感受影响员工考虑离开当前酒店工作、转投其他酒店或者寻求酒店行业外的机会。

本研究采用了259名一线酒店员工的定量数据分析。采用验证性因子分析（CFA）探索因子结构并评估模型拟合指标。随后, 应用结构方程模型（SEM）来检验假设。

研究结果显示, AI意识对工作压力和不安全感有积极影响。此外, 工作不安全感被发现对员工流失意向产生正向影响, 尤其是对转投非酒店公司的流失意向影响更为显著。此外, 社会资本作为调节变量对工作不安全感与流失意向之间的关系的影响取决于流失意向的具体维度。

本研究有助于加强酒店业人才流失动态的理论框架和实证见解。然而, 未来研究应考虑员工的职位、角色、组织和职业水平, 通过研究这些因素与技术意识、工作压力、工作不安全感和流失意向之间的关系。

本研究首次聚焦于酒店业中动态人才流失问题的现象, 提供了在自动化和人工智能时代有效整合新技术并管理人力资源的实证和实践观点。

Aerospace is a demanding technological and industrial sector. Several regulations and policies via innovative digital transformation have been integrated to impact production systems and supply chains, including safety measures. Studies demonstrated that the Fourth Industrial Revolution (4IR) technologies could enhance productivity growth and safety measures. The 4IR role in influencing airlines’ growth is yet to receive in-depth studies in South Africa. Thus, this study aims to investigate the role of 4IR technologies in influencing airlines’ growth in South Africa.

This research used a qualitative research method. Primary data were compiled via 56 face-to-face semi-structured interviews with major stakeholders. The study achieved saturation. A thematic method was used to analyse the collected data.

Findings reveal the nine major factors influencing South African airlines’ growth in the 4IR era. This includes investment in ergonomics applications and research, governance is driven by 4IR, collaboration and incorporation of 4IR concepts, partnership with drone technology and high precision and efficiency with 4IR. Others are reskilling and upskilling, investment in 4IR software, policies to promote 4IR usage in the industry and policies to reduce human interface.

Understanding the relative significance of 4IR technologies’ role in airlines’ growth can assist critical stakeholders in promoting innovative policies and regulations tailored towards digitalised aerospace. Thus, the study contributes to strategies to improve digital innovation, airline growth and safety as components of the air travel demands in South Africa.

The study aims to investigate the integration of human and machine intelligence in Industry 4.0 (I4.0), particularly in the convergence of industrial revolutions 4.0 (IR4.0) and 5.0. It seeks to identify employee competencies aligned with industry 5.0 (I5.0) and propose a framework for deep multi-level cooperation to improve human integration within the intelligence system.

This study uses bibliometric analysis to review 296 research papers retrieved from the Scopus database between 2002 and 2022. The prominence of the research is evaluated by analyzing the publication trend, sample statistics, theoretical foundation, commonly used keywords, thematic evolution, country-based contributions and top-cited documents.

The study observed that research in I5.0 has been limited in the past but has gained momentum since 2015. An analysis of research papers from 2002 to 2022 reveals a gradual shift toward human-centric practices. The literature on I4.0, the internet of things (IoT), artificial intelligence (AI), cloud manufacturing, blockchain and big data analysis has been increasingly highlighting the growing importance of digitalization in the future. An increase in the number of countries contributing to the field of study has also been observed.

This analysis offers valuable insights for managers, policymakers, information technology (IT) developers and stakeholders in understanding and implementing human-centric practices in I5.0. It emphasizes staying current with trends, embracing workforce empowerment through reskilling and upskilling, and prioritizing data privacy and security in adaptable systems. These strategies contribute to developing effective, inclusive and ethically sound approaches aligned with the principles of I5.0.

This paper examines the influence of micro-credential learning on students' perceived employability. In addition, the study aims to explore different components that will help students to gain knowledge, enhance their careers and develop their human capital (social, cultural and scholastic capital). Hence, the study also analyzed the mediating role of human capital on the aforementioned association.

Explanatory research was conducted by utilizing a correlational research design. A questionnaire comprising of closed-ended items was utilized in the study. The data was analyzed by employing PLS-SEM technique.

Our findings stipulate that micro-credential learning is an essential component to improve students' perceived employability. The study identified that micro-credential programs have a positive relationship with students' perceived employability. Moreover, the findings that micro-credential learning significantly impacts students' human capital, i.e. cultural, social and scholastic capital. Additionally, human capital acts as a significant mediator in the relationship between micro-credential learning and students' perceived employability. Moreover, participation in micro-credential learning can ensure that students can identify diverse career directions, seek information about the labor market and educational system, attain relevant qualifications for their vocations, and develop a plan for their future.

Micro-credential programs are short and focused educational programs that offer specialized knowledge and skills in a particular area. These programs are becoming increasingly popular in the modern workforce to upskill or reskill quickly and efficiently. However, lack of empirical evidence is the ultimate gap in determining the importance of micro-credential learning; as the limited literature is unable to determine the importance of MCL on students' perceived employability. Thus, the study identifies the impact of micro-credential learning on students' perceived employability.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.

This paper's purpose centres on advancing the current financialisation strategies within digital transformation (DT) through a rebalanced synthesis of both financialisation and people/centric, non-financialisation strategies of the DT field. Based on empirical data from Bahrain's energy sector, a new framework on People-centric, Sustaining Network Leadership is developed, capturing DT's human values deficit and proposing a new model on financialisation and non-financialisation strategies showing ‘how’ and ‘why’ DT is implemented in contemporary organisations.

This study conducted a mixed methodology of narrative interviews, case studies and reviewed significant contributions from the DT, leadership and change management debates. A total of 26 operational and high-level leaders from Bahrain, 8 top energy companies and Braun and Clarke's 6-phase analysis were combined to form four empirical thematic bundles on ‘how’ and ‘why’ leaders adopted financialisation and non-financialisation strategies to resolve organisational sustainability issues in an Arabic context.

Four sets of findings (bundles 1–4) highlight participants' financial and structural understanding when implementing DT initiatives, the different leadership styles ranging from authoritarian to network leadership, the socio-economic, political and cultural ramifications of their practices and the urgency of staff reskilling for organisational resilience and strategic sustainability. Based on the eight energy cases and interviews, a new values-driven, People-centric Sustaining Network Leadership Model is developed to show a more effective and efficient use of financial and non-financial resources when organisations implement DT initiatives in efforts to resolve global energy sustainability problems.

Leadership, change management, DT, energy and environmental sustainability is a huge area of scholarship. While new studies emerge and contribute to this growing body of knowledge, this investigation has focused on those that significantly highlight how to make effective use of financialisation and non-financialisation resources. Therefore, all the literature on the topic has not been included. Although this study has filled the non-financialisation gap in current DT studies, a further rebalancing of the financialisation versus non-financialisation debates will be needed for theoreticians, practitioners and policy makers to continue addressing emerging and more complex socio-economic, political and cultural issues within and beyond organisations. Limitations are the study's focus on the Bahrain energy sector and the limited sample of 26 leaders.

The study provides practitioners and policy makers with an approach for the successful implementation of DT initiatives in the oil and gas sector. For academics, this study provides empirically unique and interesting thematic bundles, insightful analyses into leadership, organisational change, digital transformation and network leadership theories to develop an innovative and creative People-centric, Sustaining Network Leadership Approach/Model on the practical barriers, implications/impacts of various leadership styles and potential solutions via a socio-cultural values-based alternative to the current financialisation discourse of DT.

While there is a growing body of literature on DT, Leadership and Organisational Transformation and Change, there is a dearth of scholarship on the human-orientated strategies of DT implementation outside of western contexts. A contemporary and comprehensive, empirically evidenced analysis of the field has led to the development of this study's People-centric, Sustaining Network Leadership model which frames, captures, synthesises and extends the dominant cost-minimisation rhetoric of DT discourse to include a shared set of leadership practices, behaviours, intentions, perceptions and values. This helped to reveal the previously missing ‘how’ and ‘why’ of DT’s operational and strategic implementation.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

The world of work is changing rapidly as a result of technology, with more workers being impacted by automation, the gig economy and temporary work contracts. This study focusses on how employees perceive their disruption knowledge and how this perception impacts their career planning, career satisfaction and training behaviors.

The authors use data from 1,516 employees across a broad range of industries and professions from the United States (n = 505), New Zealand (n = 505) and Australia (n = 506).

The authors find that an employee's knowledge and research into automation positively influence how employees plan their careers, their career satisfaction and their training behaviors. While career planning is positively related to career satisfaction and training behavior, career satisfaction is negatively related to training behaviors. The authors test mediation effects and find consistently significant indirect effects, and these findings are all largely replicated across the three countries.

This study highlights the importance of understanding the processes that employees go through when thinking about disruption knowledge, their careers and the impact on their training behaviors.