Search results

Despite the considerable hype about how Big Data Analytics (BDA) can transform businesses and advance their capabilities, recognising its strategic value through successful adoption is yet to be appreciated. The purpose of this paper is to focus on the process-level value-chain realisation of BDA adoption between SMEs and large organisations.

Resource-based theory offered the lens for developing a conceptual BDA process-level value chain adoption model. A combined two-staged regression-artificial neural network approach has been utilised for 369 small, medium (SMEs) and large organisations to verify their critical value chain process-level drivers for successful organisational adoption of BDA.

The findings revealed that organisational BDA adoption success is driven predominantly by product—and service-process-level value, with distinctive discrepancies dependent on the organisation’s size. Large organisations primarily embrace BDA for their external value chain dimensions, while SMEs encompass its internal value chain cues. As such, businesses will be advised to acknowledge their organisational dynamics and precise size to develop the right strategies to adopt BDA successfully.

The study advances the understanding of the role of internal and external value chain drivers in influencing how BDA can be successfully adopted in SMEs and large organisations. Thus, appreciating the organisation’s unique attributes, including its size, will need to be carefully examined. By investigating these elements, this research has shed new light on how developing such innovative capabilities and competencies must be carefully crafted to help create a sustainable competitive advantage.

For an organisational positioning, acknowledging the role of internal and external value chain drivers is critical for implementing the right strategies for adopting BDA. For larger businesses, resources for innovation often can be widely available compared to SMEs. As such, they can manage their costs and associated risks resourcefully. By considering the identified value-chain-related adoption success factors, businesses should be better positioned to assess their competencies while being prepared to adopt BDA.

The study offers the research and business community empirical-based insights into the strategies needed to successfully adopt big data in an organisation from a process-level value chain perspective.

The manufacturing industry in Pakistan, like any other industry, promotes sustainability in its supply chain operations. Yet, the scenario is different in the chemical manufacturing sector, which lags in the development and implementation of sustainable development practices and policies to safeguard its long-term viability. Embracing sustainable practices not only fulfills manufacturing needs but also stands out from other companies. Hence, the purpose of this study is to explore the eco-friendly business practices that impact corporate innovation. Organizational size is considered a moderator in the relationship between green practices and corporate innovation.

The quantitative study was conducted to collect the data through convenience sampling techniques. In total, 138 responses were analyzed through the partial least squares method.

The findings reveal that the implementation of green practices increases corporate innovation. Thus, the impact varies based on different organizational sizes. The crux of the organizational strategy relies on the implementation of eco-friendly practices and holding the right size to survive.

The proposed study provides new grounds for the natural resource-based perspective theory and stakeholder theory. Chemical manufacturers can tailor their strategies that accommodate varying resources and capabilities, facilitating more effective implementation of green practices across different companies within the sector.

The paper provides new ground for the natural resource-based perspective theory. More specifically, this study was expected to help chemical manufacturers choose environmentally friendly practices that would help them meet corporate sustainability performance goals through innovation.

The literature currently offers only fragmentary insights into the research on the relationship between employee emotions and human resource management (HRM). Therefore, further research is essential to bridge this knowledge gap. Our study aims to identify the mediating effects of positive employee emotions and exhaustion in the relationship between HRM and employee engagement.

Drawing on the literature review findings, a conceptual model was formulated to illustrate the relationship between HRM, employee emotions and engagement. A confirmatory analysis was conducted using structural equation modelling (SEM CFA) on a sample of 1,000 employees to validate the proposed model. The data were collected in 2021, with a particular emphasis on exploring the indirect influence of HRM on engagement through positive employee emotions and exhaustion.

The quantitative research aimed to test a model depicting the relationship between HRM and employee emotions. The findings indicate the robust effect of HRM on positive employee emotions and exhaustion. The authors observed significant variation in the level of impact depending on the size of the organisation (stronger in large firms) and the sector (stronger in the public sector).

The study bridges the gap in our understanding of the link between HRM and employee emotions. It would be advisable to further explore the specific impact of individual HRM practices on both positive and negative employee emotions. It is worth extending the scope of future research to explore components of the investigated constructs as well as mediators and moderators of the relationship between HRM and employee emotions.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

This paper aims to introduce a model using a digital twin concept in a cold heading manufacturing and develop a digital visual management (VM) system using Lean overall equipment effectiveness (OEE) tool to enhance the process performance and establish Fourth Industrial Revolution (I4.0) platform in small and medium enterprises (SMEs).

This work utilised plan, do, check, act Lean methodology to create a digital twin of each machine in a smart manufacturing facility by taking the Lean tool OEE and digitally transforming it in the context of I4.0. To demonstrate the effectiveness of process digitisation, a case study was carried out at a manufacturing department to provide the data to the model and later validate synergy between Lean and I4.0 platform.

The OEE parameter can be increased by 10% using a proposed digital twin model with the introduction of a Level 0 into VM platform to clearly define the purpose of each data point gathered further replicate in projects across the value stream.

The findings suggest that researchers should look beyond conversion of stored data into visualisations and predictive analytics to improve the model connectivity. The development of strong big data analytics capabilities in SMEs can be achieved by shortening the time between data gathering and impact on the model performance.

The novelty of this study is the application of OEE Lean tool in the smart manufacturing sector to allow SME organisations to introduce digitalisation on the back of structured and streamlined principles with well-defined end goals to reach the optimal OEE.

Due to population ageing, the European Union (EU) has adopted active ageing as a guiding principle in labour and retirement policies. Among the strategies for active ageing, age-friendly workplaces play a crucial role. This study compares age-friendly human resource (HR) practices in the Baltic and Nordic countries. The latter are pioneers in active ageing, and as the employment rate of older employees in the Baltics is like that in the Nordic countries, we may assume equally age-friendly workplaces in both regions.

We used the latest CRANET survey data (2021–2022) from 1,452 large firms in seven countries and constructed the fuzzy logic model on age-friendliness at the workplace.

Despite a high employment rate of older individuals in the Baltics, HR practices in these countries fall short of being age-friendly compared to their Nordic counterparts. Larger firms in the Nordic countries excel in every studied aspect, but deficiencies in the Baltics are primarily attributed to the absence of employer-provided health and pension schemes. The usage of early retirement is more frequent in the Nordic countries; however, its conceptualisation as an age-friendly HR practice deserves closer examination. Our findings suggest that the success of active ageing in employment has translated into age-friendly HR practices in larger organisations in the Nordics, but not in the Baltics. It is likely that high employment of older individuals in Estonia, Latvia and Lithuania is a result of the relative income poverty rate.

Our model represents one of the few attempts to utilise fuzzy logic methodology for studying human resource practices and their quantitative evaluation, especially concerning age-friendly workplaces.

The construction industry shows an increased interest in how to manage logistics within construction projects. Often construction logistics is outsourced to a logistics service provider (LSP). However, construction logistics is normally approached either as a strategic decision or as an operational issue and rarely as a tactical concern. The purpose of this study is to explore how to organize the logistics outsourcing decision at strategic, tactical and operational levels.

This study is performed as a single-case study within a construction corporation, containing (amongst others) a building contractor (BC) and a construction equipment rental company (CERC) offering logistics services.

The study shows that to procure construction logistics service successfully, BCs need logistics capabilities at strategic and tactical levels to maintain an alignment between the use of logistics services and operational characteristics. Simultaneously, CERC’s need to design their service offerings to correspond to the needs of the BC.

This study builds on a single-case study of a Swedish construction corporation. Further research is needed to better understand current logistics outsourcing and development practices and how these can be improved to foster better logistics management at the project level.

BCs find suggestions of different logistics organization structures and suitable outsourcing arrangements. CERCs and LSPs can use the findings to understand their customers’ needs and adapt service offerings.

To the best of the authors’ knowledge, this study is one of the first studies of how two companies within a corporation can work together to develop construction logistics service offerings.

The purpose of this paper is to systematically review the resilience literature to integrate the fragmented views and provide a more comprehensive understanding. This study aims to fill the gaps in the literature by discussing scientific contributions and highlighting the main issues in previous research findings regarding the definitions, dimensions and concepts that make up organizational resilience. This research highlights organizational resilience from a capabilities perspective.

This paper uses the systematic literature review method by searching all previous studies studying organizational resilience from 2014 to 2023. In total, there are 28 articles reviewed from the Scopus database.

This study found that resilience is a complex concept and has many definitions and dimensions. This study also conceptualizes organizational capability with a pyramid, which illustrates the basic framework of the six stages of the resilience process and hierarchically forms organizational resilience.

First, the keyword search strings on the repository database are currently limited to a few keywords. Need to broaden the range of keywords so as to produce a more comprehensive review. Second, the exclusion of books, book chapters and conference papers limits research findings and results. These sources are likely to enrich resilience development from various perspectives. Even though Scopus is the largest repository database, the research findings are not yet fully generalizable. Future researchers can add data from WoS, Ebsco or other databases. Literature obtained from various databases that can provide broader results.

The practical implications of this study are to provide a basis for managers in making decisions for organizational sustainability. Managers can consider each stage in the resilience capability pyramid as a reference for making strategic plans and relational orientation toward organizational members.

This research provides a hierarchical perspective on organizational resilience capabilities. For academics and practitioners, this study provides a critical and comprehensive systematization of the limited academic literature on resilience. This study also offers opportunities for further research to overcome the limitations of empirical testing of resilience capability construction using various theories and methodologies.

This research aims to investigate post-forest fire perceptions of businesses towards the environment as a stakeholder. Through interviews with affected businesses, the authors aim to understand whether disasters prompt sustainability prioritisation beyond legal or market demands, shedding light on potential shifts in environmental attitudes and decision-making processes.

The authors used qualitative methods to investigate post-disaster shifts in environmental perceptions. Using site visits, preparatory meetings and semi-structured interviews between October 2017 and April 2021, the authors gained insights into destruction, recovery efforts and stakeholder perspectives. Content analysis provided valuable decision-making insights, particularly in understanding the landscape dominated by SMEs reliant on short-term strategies.

Interviews revealed varied perspectives on stakeholder recognition, especially concerning the natural environment. Although some managers promptly acknowledged stakeholder groups, the recognition of the natural environment as one varied. Concerning the natural environment as a stakeholder, responses ranged from ecological acknowledgment to denying its stakeholder status. Despite differing views, many agreed on the forest's importance, especially for resource-reliant industries. The findings suggest that although many decision makers verbally acknowledge the natural environment as a stakeholder, their actions reveal the opposite.

The limitations are the COVID-19 pandemic in the data research phase. The methodology applied (qualitative) can be a limitation in itself and the authors recommend further research, applying mixed or quantitative methods. The research covers one event in one country. It is relevant to test our questions and conclusions in other countries/after other natural disasters. Incorporating other stakeholders' views and exploring alternative theories could enhance understanding and challenge existing results.

This study holds practical implications for understanding the relationship between organisations and the natural environment, particularly in recognising it as a stakeholder. By acknowledging the environment as a stakeholder, organisations can mitigate the effects of future natural disasters, as well as reducing their environmental footprints. Implementing these insights can lead to more informed decision-making processes and contribute to more effective resources and stakeholder management.

Recognizing the environment as a stakeholder fosters environmental consciousness and community engagement. Addressing the natural environment as such enhances the ownership and responsibility of the surrounding natural environment.

The study's originality lies in its exploration of organisational responses to natural disasters, particularly in recognizing the environment as a stakeholder. It offers unique insights into decision-making processes and attitudes towards environmental responsibility, contributing to advancing understanding and informing strategies for sustainable disaster management on a global scale.

This study examines innovation configurations (i.e. sets of product/service, social and business model innovations) and configuration linkages (i.e. factors that help to combine innovations) across six organizations as contingent upon organizational structure.

Using semi-structured interviews and available public information, qualitative data were collected and examined using content analysis to characterize innovation configurations and linkages in three local/private organizations and three foreign-led/public-private partnerships in Repiblik Ayiti (Haiti).

Organizations tend to combine product/service, social, and business model innovations simultaneously in locally founded private organizations and sequentially in foreign-based public-private partnerships. Linkages for simultaneous combination include limited external support, determined autonomy and shifting from a “beneficiary mindset,” and financial need identification. Sequential combination linkages include social need identification, community connections and flexibility.

The generalizability of our findings for this qualitative study is subject to additional quantitative studies to empirically test the suggested factors and to examine other health care organizations and countries.

Locally led private organizations in low- and middle-income settings may benefit from considering how their innovations are in service to one another as they may have limited resources. Foreign based public-private partnerships may benefit from pacing their efforts alongside a broader set of stakeholders and ecosystem partners.

This study is the first, to our knowledge, to examine how organizations combine sets of innovations, i.e. innovation configurations, in a healthcare setting and the first of any setting to examine innovation configuration linkages.