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In recent years, Industry 4.0 has received immense attention from academic community, practitioners and the governments across nations resulting in explosive growth in the publication of articles, thereby making it imperative to reveal and discern the core research areas and research themes of Industry 4.0 extant literature. The purpose of this paper is to discuss research dynamics and to propose a taxonomy of Industry 4.0 research landscape along with future research directions.

A data-driven text mining approach, Latent Semantic Analysis (LSA), is used to review and extract knowledge from the large corpus of the 503 abstracts of academic papers published in various journals and conference proceedings. The adopted technique extracts several latent factors that characterise the emerging pattern of research. The cross-loading analysis of high-loaded papers is performed to identify the semantic link between research areas and themes.

LSA results uncover 13 principal research areas and 100 research themes. The study discovers “smart factory” and “new business model” as dominant research areas. A taxonomy is developed which contains five topical areas of Industry 4.0 field.

The data set developed is based on systematic article refining process which includes the keywords search in selected electronic databases and articles limited to English language only. So, there is a possibility that other related work may not be captured in the data set which may be published in other than examined databases and are in non-English language.

To the best of the authors’ knowledge, this study is the first of its kind that has used the LSA technique to reveal research trends in Industry 4.0 domain. This review will be beneficial to scholars and practitioners to understand the diversity and to draw a roadmap of Industry 4.0 research. The taxonomy and outlined future research agenda could help the practitioners and academicians to position their research work.

This paper investigates the interactional relationships between sustainable human resource management (SHRM) and organizational performance (OP). Sustainable HRM is an approach that links HRM and sustainability. These studies focused on integrating HR with sustainable developments, such as economic and social aspects, in favour of focusing on the environmental aspect. Organizational change is an ongoing process that has to be managed effectively to keep the change in place for a long time.

A framework was offered to estimate the cause-and-effect relation of the SHRM and OP factors. Data is gathered from professionals from various pharmaceutical industries. This study applied two methods, Fuzzy AHP and DEMATEL Type II. These techniques are used to understand the cause-and-effect factors and their interactions.

It was observed from the findings that the factor of SHRM, such as Social Justice (F2), Green Job Design (F5), Green Training (F6) and Implementation of Green Policy (F8), was the most critical for the pharmaceutical sector that effects Financial performance (F13), Customer Satisfaction (F15) and Market performance (F14). Pharmaceutical firms ought to coordinate public health advocacy efforts, engage in healthcare initiatives and provide financial support for environmentally friendly efforts that improve social and economic conditions.

For this sustainability, managers concentrate on creating an environment that is healthy and acceptable, and they work hard to mitigate the impact of natural factors and repair damage done to the environment; it is essential to move towards sustainable development to resolve environmental problems. Improving HR efficiency is among essential HRM responsibilities, as they expand the knowledge base of the workforce, enhance human capital, and eventually create valuable intangible assets and promote and encourage sustainable pharmaceutical products for some years.

This research paper has presented exclusive worth to the SHRM and organizational performance literature as it employs fuzzy FAHP and DEMATEL type 2. There is less research on SHRM in the pharmaceutical sector with these factors. In addition, FAHP and TYPE 2 DEMATEL are used in very few researches on SHRM approaches.

Integrated reporting (IR) aims to improve the quality of information available to capital providers. While IR is associated with decreases in investor uncertainty and increases in firm value, it is unclear how IR information directly influences investment decisions. This paper aims to investigate the investment considerations of Taiwanese investors and their initial impressions of the International Integrated Reporting Framework (IIRC Framework). In doing so, this study examines the relationships between investment considerations and the IIRC Framework’s concepts.

Semi-structured interviews were undertaken with 16 investors in Taiwan. Thematic analysis was used to analyse the data collected.

In addition to economic and financial outlook, competitive advantages and ownership structure, Taiwanese investors emphasise management credibility as an important factor that influences investment decisions. Investors are reliant on private information sources and quantitative data. Sustainability disclosures and sustainability performance beyond legal requirements are often not considered. Taiwanese investors lack awareness of the IIRC Framework and are sceptical about the premise that integrated reports can provide information material to investment appraisal. The assertion that integrated reports reduce information asymmetry and influence investment decisions has to be treated with caution.

Self-selection bias and a potential lack of transferability in the findings are issues inherent in the research method and sample used.

IR information needs to be frequently updated rather than disclosed in a periodic report. Furthermore, integrated reports need to demonstrate a direct link between non-financial performance and financial value creation.

Mandating the supply of integrated reports is unlikely to influence investors’ capital allocation decisions unless investor demand is a driver of the regulation.

This study is one of the few to investigate IR from the investor’s perspective. Observations from this preliminary study warrant further investigations into the relevance of IR to investment communities globally.

Organizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced sustainability. One of the main reasons for doing this research is to see how far down the path to green transformational leadership (GTFL) in Green Human Resource Management (GHRM) practices in the healthcare industry in Pakistan. Additionally, this research aims to analyze how this change affects the long-term success of businesses in sustainable performance (SP).

To identify factors related to the study variables, the research utilized master journals, as well as the Web of Science and Scopus databases. The ISM-DEMATEL (Interpretive Structural Modeling - Decision Making Trial and Evaluation Laboratory) technique was employed to establish a hierarchical model. This model facilitated the identification of cause-and-effect relationships among factors, which were further elucidated using the DEMATEL interrelationship diagram.

The analysis of the results indicates that Green Training (F4), Green Job Analysis (F1), Intellectual Stimulation (F10), and Green Product Innovation (F9) are the primary factors that have a significant impact on achieving Environmental Policies and Regulations (F13), and Subjective Environment Norms (F14) of SP factors.

The study is implemented in the healthcare industry of Pakistan, with a focus on practical and managerial aspects. It encourages managers to develop and adapt their human resources policies and environmental strategies. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment. The research was carried out during the period of the pandemic. The scope of this study was restricted to the healthcare industry in Pakistan.

In order to improve SP, this study presents a unique strategy combining sustainability into decision-making procedures with the function of GTFL in GHRM. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment.

The study aims to explore the current experiences of Ukrainian adolescents affected by the Russia-Ukraine war. The study focused on the changes in adolescents’ lives caused by the war, adolescents’ emotional reactions to the disruptions caused by the war, coping strategies employed by adolescents in dealing with disruptions and the role of information technology in supporting new realities and coping strategies of adolescents.

This study relied on semi-structured interviews conducted on Zoom with 27 Ukrainian adolescents ages 10-18. Participants were recruited using the snowball sample and came from various regions of Ukraine. The interview notes and partial transcripts were analyzed using thematic analysis to identify the common and unique patterns in participant responses.

The interview data revealed the signs of traumatic experiences and various stages and methods of coping with them. Participants’ resilience was supported by external factors, including families, communities, continuous schooling, ability to talk to friends, information technology, as well as internal skills, including social competence, problem-solving, critical consciousness, autonomy and a sense of purpose. Participants shared specific recommendations for improving information platforms and online content, e.g. making them more accessible and affordable for Ukrainian users, improving content curation and personalization, creating and promoting Ukrainian content and others.

Research relied on convenience sample of participants who had access to information communication technology (ICT), were aware and had an ability to participate. Field work is needed to reach out to participants without access to ICT.

This study contains broad recommendations for improving information technologies for the use of Ukrainian adolescents.

This research offers three timely account of the first-hand experiences of Ukrainian adolescents affected by the Russia-Ukraine war and can inform future work aimed at improving life conditions for teen population.

This study relied on first-hand reports of Ukrainian adolescents’ experiences, feelings and coping strategies during the first three months of Russia-Ukraine war. The study applied war trauma and resilience frameworks to interpret the findings and translate some of the findings into practical recommendations for the information science community.

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

Increasing workforce casualisation, under representation of women and other minority groups, racial discrimination, corruption and poor safety are just some of the documented examples of intra-organisational injustice in the industry. Typically these issues are problematised separately using different theoretical frameworks, yet at the most fundamental behavioural level they have a common cause which lies in the “unjust” treatment of one person by another. The purpose of this paper is to integrate the conceptual understanding of these hitherto separated but conceptually linked problems.

A survey 135 consultants, contractors, subcontractors and suppliers from across the Australian construction supply chain.

Surprisingly despite widespread academic concerns about injustice in the construction industry, there are not significant concerns within the industry community. Contrary to much research about the poor culture of the construction industry, the results indicate that the relatively low levels of perceived injustice are institutional rather than cultural. The research also highlights the plight of middle management, which appear to consistently suffer the highest levels of injustice across all its theoretical categories.

Sample size and Australian focus.

Informs organisational policies to reduce injustice in the construction industry.

By reducing injustice, this research will improve the fairness of business practices in the construction industry.

Application of justice theories to conceptualise unfair construction practices.

This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.

To develop a structural model based on Interpretive Structural Modelling (ISM) approach to analyse the barriers to integration of Lean with Industry 4.0.

Integrated lean and I4.0 is essential for optimising customer value, rapid product design and redesign to comply with customer demand on time. Also, manufacturing processes to be made more flexible, intelligent and agile. In this context, integrated lean and Industry 4.0 barriers were identified and an ISM approach is employed to identify hierarchical structure of barriers and analysed.

The result obtained reflects that barriers “increasing competitive pressure”, “lack of long-term vision”, “lack of management support”, “lack of capital fund” are found to be the important barriers that affect the integration of lean and I4.0.

In the present study, 16 barriers are analysed. In future, additional barriers could be included.

The driving and dependence power of barriers were analysed from ISM model and it provided guidance for practitioners to concentrate on barriers for integrating lean and I4.0.

The idea of developing structural model for analysis of barriers to integration of lean with I4.0 is the original contribution.

The growth rate of the aging population raises the demand for and challenges of public and subsidized (P&S) housing for the elderly. The decline in elderly ability increases their dependence on the quality of facilities provided by their residential apartment. Hence, the purpose of this paper is to develop an integrated indoor built environment–quality of life model for the elderly in P&S housing estates.

A questionnaire survey, including scales for 4 quality of life (QoL) domains (physical health, psychological health, social relationships and overall QoL), and 13 indoor built environment (BE) components were identified. In total, 365 survey data were collected from the elderly in 18 political districts of Hong Kong, while reliability analysis, multiple regression analysis and structural equation modeling were adopted in the data analysis.

Based on the congruence of results of these statistical analyses, it was revealed that: furniture and fixtures predict all the four QoL domains of the elderly; lighting and color induce social relationships; and overall QoL is predicted by distance and handrails.

Several recommendations were made in accordance with the research results, such as review minimum spacing requirements to provide walking distance for elderly physical activity, investigate the micro-climate for appropriate building orientation, consider the changing body size of the elderly for supply of furniture, use warm colors with high levels of illumination, and so on.