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One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the globe because of its immense applications. This phenomenon is an advanced version of Industry 3.0, combining manufacturing processes and the latest Internet of Things (IoT) technologies. The main advantage of this paradigm shift is efficiency and efficacy in the manufacturing process with the help of advanced automated technologies. The concept of ‘Industry 4.0’ is contemporary, so it falls under exploratory study. Therefore, the research methodology is thematic narration grounded on secondary data (online) analysis. In this light, this chapter aims to explain ‘Industry 4.0’ in terms of concepts, theories and models based on the Web of Science (WoS) database. The data include research manuscripts, book chapters, blogs, white papers, news items and proceedings. The study details the latest technologies behind the ‘Industry 4.0’ phenomenon, different business intelligence technologies and their practical implications in some manufacturing industries. This chapter mainly elaborates on Industry 4.0 frameworks designed by (1) PwC (2) IBM (3) Frost & Sullivan.

The purpose of this study is to address the extended travel time caused by dwelling time at stations for passengers on traditional rail transit lines. To mitigate this issue, the authors propose the “Non-stop” design, which involves trains comprised of modular vehicles that can couple and uncouple from each other during operation, thereby eliminating dwelling time at stations..

The main contributions of this paper are threefold: first, to introduce the concept of non-stop rail transit lines, which, to the best of the authors’ knowledge, has not been researched in the literature; second, to develop a framework for the operation schedule of such a line; and third, the author evaluate the potential of its implementation in terms of total passenger travel time.

The total travel time was reduced by 6% to 32.91%. The results show that the savings were more significant for long commutes and low train occupancy rates.

The non-stop system can improve existing lines without the need for the construction of additional facilities, but it requires technological advances for rolling stock.

To eliminate dwelling time at stations, the authors present the “Non-stop” design, which is based on trains composed of locomotives that couple and uncouple from each other during operation, which to the best of the authors’ knowledge has not been researched in the literature.

This study aims to develop a four-dimensional (4D) textile composite that self-forms upon thermal stimulation while eliminating thermomechanical programming steps by using fused deposition modeling (FDM) 3D printing technology, and tries to refine the product development path for this composite.

Polylactic acid (PLA) printing filaments were deposited on prestretched Lycra-knitted fabric using desktop-level FDM 3D printing technology to construct a three-layer structure of thermally responsive 4D textiles. Subsequently, the effects of different PLA thicknesses and Lycra knit fabric relative elongation on the permanent shape of thermally responsive 4D textiles were studied. Finally, a simulation program was written, and a case in this study demonstrates the usage of thermally responsive 4D textiles and the simulation program to design a wrist support product.

The constructed three-layer structure of PLA and Lycra knitted fabric can self-form under thermal stimulation. The material can also achieve reversible transformation between a permanent shape and multiple temporary shapes. Thinner PLA deposition and higher relative elongation of the Lycra-knitted fabric result in the greater curvature of the permanent shape of the thermally responsive 4D textile. The simulation program accurately predicted the permanent form of multiple basic shapes.

The proposed method enables 4D textiles to directly self-form upon thermal, which helps to improve the manufacturing efficiency of 4D textiles. The thermal responsiveness of the composite also contributes to building an intelligent human–material–environment interaction system.

By celebrating tourism destinations through cruise collections, luxury brands open to new influences. They may develop deeper connections with certain geographical areas, but may also challenge the quintessentially national dimension of luxury brand culture. The best example of synergies between a luxury fashion brand and tourism destinations are the Christian Dior cruise collections with Maria Grazia Chiuri at the helm. This chapter is to understand how cruise collections may enhance luxury fashion houses' brand culture through the connections they develop with tourism destinations. Further, the chapter assesses the extent to which destinations can benefit from the exposure provided by luxury fashion brands' cruise collections.

To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following the scheme after the departure, energy-saving performance of the whole metro system cannot be guaranteed.

A cooperative train control framework is formulated to regulate a novel train operation mode. The classic train four-phase control strategy is improved for generating specific energy-efficient control schemes for each train. An improved brute force (BF) algorithm with a two-layer searching idea is designed to solve the optimisation model of energy-efficient train control schemes.

Case studies on the actual metro line in Guangzhou, China verify the effectiveness of the proposed train control methods compared with four-phase control strategy under different kinds of train operation scenarios and calculation parameters. The verification on the computation efficiency as well as accuracy of the proposed algorithm indicates that it meets the requirement of online optimisation.

Most existing studies optimised energy-efficient train timetable or train control strategies through an offline process, which has a defect in coping with the disturbance or delays effectively and promptly during real-time train operation. This paper studies an online optimisation of cooperative train control based on the rolling optimisation idea, where energy-efficient train operation can be realised once train running time is determined, thus mitigating the impact of unpredictable operation situations on the energy-saving performance of trains.

The purpose of this research is to examine how a change in team dynamics impacts an individual's motivation to engage in helping behavior and operational performance.

An online vignette experiment and a hybrid discrete event and agent-based simulation model are used.

Study findings demonstrate how a non-core worker's perception of team dynamics influence engagement in helping behavior and system performance.

This study provides a further understanding on how team members react to changes in team processes. This study theorizes on how an individual team member responds to fairness concerns. This study also advances our understanding of the critical importance of helping behavior in a retail logistics setting. This research illustrates how the theory of strategic core and procedural justice literature can be adopted to explain team dynamics in supply chain management.

This study analyses how latent variables: environmental hostility, entrepreneurial orientation and dynamic capabilities are demonstrated in practice during the COVID-19 pandemic. Coming from mixed-method research, which is an explanatory sequential research design; this paper aims to provide only the qualitative, practical manifestations and validations of the variables previously tested and analysed quantitatively.

A case study approach was used whereby open-ended, semi-structured series of interviews was conducted to extract narratives from two owner–managers of medium-scale manufacturer-exporter agro-processing firms in the Philippines. Thematic analysis using deductive reasoning was used to analyse the collected narratives.

The analysis showed qualitative evidence of a possible intervention of entrepreneurial orientation and dynamic capabilities between the effects of the hostile environment brought about by the pandemic on the firms’ export performance. In addition, organisational resilience was observed to possibly moderate the relationship between the firm’s entrepreneurial orientation and dynamic capabilities. Resilience takes time (years) to develop; with an entrepreneurial behaviour, a continuous enhancement and acquisition of resources, capabilities, knowledge reflects a robust and adaptive organisation during adversity.

The role of education and research institutions was highlighted in the development of dynamic capabilities of firms. The entrepreneurial resilience, however, reflects the individual characteristic of the owner–managers that manifests in the firm’s overall posture toward the overall goal of protecting the industry from its downfall.

Qualitative evidences composed of direct experiences from key informants served valuable and contextual (Philippine agro-processing industry) validations to the theoretical relationships of variables being analysed.

As a strand in industrialization movement in architecture, engineering and construction (AEC) industry, prefabricated construction (PC) has gained widespread popularity due to high efficiency, energy saving, low environmental impacts, safety and other advantages of PC. Well-managed supply chain can further leverage the advantages of PC. However, there is a lack of more systematically overview of the prefabricated construction supply chain (PCSC). This paper aims to comb the current status and look into the future direction of PCSC by reviewing the existing research.

In total, 131 articles related to prefabricated construction supply chain management (PCSCM) from 2000 to 2022 have been collated to (1) conduct a bibliometric analysis by using VOSviewer, including the literature sources, keywords co-occurrence, co-authorships, authorship citation and country active in the field of PCSCM; (2) classify and summarize the status of research in PCSCM through qualitative discussion and (3) point out the future research directions.

In total, 131 articles are carried out for bibliometric analysis and in-depth qualitative discussion, the visualization maps and the main research themes in the field of PCSCM are obtained. The results show that supply chain intelligentization and informatization are hot topics. Finally, future research directions that should be paid attention to in the field of PCSCM are pointed out.

This study can help project managers understand the current status and problems of PCSC operations and provide a basis for future management decisions.

Compared with previous studies, this study adds the dimension of “article authorship” to the quantitative analysis and discusses the research themes in the field of PCSCM in a comprehensive manner. In addition, this paper deeply discusses the main research topics from both the specific contents and research methods adopted.

Employing the “Job demands-resources (JD-R)” framework, this study examines the impact of co-occurring social supports (supervisor, coworker, and family support) on the telework environment and employee engagement.

The study uses a multimethod approach. Data from 294 employees belonging to Indian technology organizations were collected and analyzed using the partial least squares (PLS)-based structure equation modeling software SmartPLS4. Following this, necessary condition analysis (NCA) was carried out using the NCA package for R.

Telework environment was found to mediate the relationship between social support and work engagement. Supervisor support and instrumental family support were identified as predictors as well as necessary conditions for telework environment. Coworker support was identified both as a predictor and necessary condition for telework environment. Although emotional family support was found to be a predictor of telework environment, it was not identified as a necessary condition.

The findings indicate that coworker support and family instrumental support are as important for telework success as supervisor support. Moreover, our findings suggest that varying levels of telework environments (low, moderate, and high) may necessitate distinct social support configurations. Consequently, organizations should match their social support configuration to match their overall teleworking strategy.

A basic premise of the JD-R framework is that resources exist in caravans (bundles). However, previous research (in telework) has concentrated on only one or two kinds of social support, that too in varying situational contexts, limiting generalizability of the findings. This has also produced inconsistent conclusions concerning the role of support providers such as coworkers and family. Recent developments in JD-R also suggest that the role of resources may vary in terms of their importance (necessity) for work engagement. By augmenting standard regression-based techniques with NCA, the authors explore these issues to provide a more thorough understanding of the influence of social supports on work engagement in telework situations.

Disruptive technologies for human resource management (HRM) lack evidence about synthesizing its antecedents and outcomes in the empirical research landscape. This review study was conducted addressing two objectives: (1) to identify the themes of HRM technology empirically researched and (2) to develop a conceptual framework for the antecedents and outcomes of disruptive technologies for HRM.

This article was positioned as a literature review based on the systematic literature review (SLR) methodology. Seventeen articles published between 2000 and 2020 were included for the review from Scopus and LENS.ORG databases. The article screening, inclusion and analysis and findings reporting were based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA).

In addressing the first objective, the review found that the electronic human resource management (E-HRM) intention and communication technology support impact E-HRM adoption, resulting in many outcomes. The outcomes include HRM service quality, organizational effectiveness, employee productivity and competitive advantage. In addressing the study's second objective, a conceptual framework was developed based on the gaps identified regarding the determinants and positive outcomes of disruptive technologies for HRM. Thus, the conceptual framework was presented from two perspectives. The perspectives were deduced with review results and theoretical grounds.

The findings related to the two objectives provide theoretical and practical implications. One significant practical implication is that action and work-based learning of managers and employees in organizations may suggest adopting disruptive technologies for HRM. Thus future studies can focus on them as determinants of adopting disruptive technologies for HRM to conduct empirical tests. Besides, the findings provide some other future research directions.

The study found empirically proven determinants of E-HRM intention and communication technology support impact E-HRM adoption, which results in many positive outcomes. These were synthesized based on the studies conducted during the period 2000–2020. This synthesis and theoretical grounding deduced a conceptual framework for determinants and outcomes of disruptive technologies for HRM.