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Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.

This study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).

The findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.

This study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.

The study investigates the mediating effect of HR flexibility in the relationship between capacity-enhancing HR practices and job performance in small and medium-sized enterprises (SMEs) operating in Egypt.

On the basis of the literature review, the results imply a quantitatively tested conceptual model. The model is empirically validated using the partial least squares method to structural equation modelling (PLS-SEM) with survey data from 270 SME owners and managers in Egypt. The sample was selected using a quota sampling approach for small and medium-sized businesses and a proportionate stratification sampling method for the industry and region.

Findings for the sample revealed that capacity-enhancing HR practices affected job performance positively and significantly. The findings also revealed a direct, positive and significant impact of capacity-enhancing HR practices on HR flexibility and HR flexibility on job performance. Functional flexibility was identified as a significant mediator of the capacity-enhancing HR practices-job performance link, whereas behavioural and skill flexibility were not significant mediators for such a relationship.

The study's cross-sectional design is an evident weakness. All variables were self-reported; this may raise issues regarding method bias. Other limitations include the generalisability of the study's findings outside the setting in which it was conducted. The accuracy of the field study results would have been enhanced if they had not been limited exclusively to the geographical confines of Egypt.

The paper proposes many implications emphasising the role of HR flexibility in enhancing the performance of SMEs. The study developed a mediation model to understand how SMEs boost the performance of human resources by focusing on flexibility dimensions. Accordingly, companies may strategically employ flexible practices and provide an environment that encourages skill and behavioural development.

This study examined the links between user-generated content (UGC), dissatisfied customers and second-hand luxury fashion brands. A central premise of luxury fashion brands is the perceived status and privilege of those who own such items. Despite their marketing logic emphasising exclusivity and rarity, they have broadened their reach by integrating new digital marketing practices that increase access to luxury brand-related information and create opportunities for consumers to purchase products through second-hand sellers.

Building on an inductive qualitative study of 59 millennials from three European countries (France, Italy and the UK) and by examining the mediating role of UGC and dissatisfied customers, this paper develops a conceptual framework of three clusters of second-hand luxury fashion goods customers: spiritual consumers, entrepreneurial recoverer consumers and carpe diem consumers.

The proposed SEC framework (spiritual consumers, entrepreneurial recoverer consumers, and carpe diem consumers) illustrates how the emerging themes interconnect with the identified consumers, revealing significant consumer actions and attitudes found in the second-hand luxury goods sector that influence the usage of UGC and its integration into service failure and recovery efforts

This study suggested that the perceptions of consumers seeking second-hand luxury fashion products differ from those who purchase new or never previously owned luxury fashion products. Overall, this research sets the stage for scholars to forge a path forward to enhance the understanding of this phenomenon and its implications for luxury fashion companies.

The purpose of this article is twofold. Its first objective is to bring to the fore the unexplored and neglected origins of social exchange theory (SET) to critique this body of conjecture. This unearthing is illustrated through focusing on the way the theory was developed and how this development was mischaracterised in literature. Its second objective is to invoke the methodological assemblage of ANTi-History and the “close reading” notion using multiple archival sources to demonstrate their usefulness within the critical qualitative method debate.

The historic character of management and organization studies is exemplified through utilizing a combination of textual sources to examine how SET emerged from within the human relations school of thought throughout much of the twentieth century. Specifically, an array of sources (including archival data) is deployed and closely examined to trace how SET formed and became prevalent in organizational studies over the last decades.

SET is not only indebted to the human relations movement in general and to Elton Mayo’s work in particular (as is well-known), but also to logical positivism and behavioralist-school psychology. As such, Homans’ work marked the beginning of a new era in organizational behavior research.

The article highlights the role of historical analyses in interpreting mainstream constructs in organizational behavior. In doing so, it reveals how critical qualitative research leads to understanding some shortcomings of a theory and indicates potential remedies.

The study examines whether affective organizational commitment and its drivers differ between Polish female and male employees.

Our proprietary data are from ongoing surveys conducted by a major Polish HR consulting firm. The nationwide survey of nearly 3,000 Polish workers in 2020 constitutes the data set in this analysis. Regression analysis is applied to analyze the relationship between organizational commitment, gender and other variables.

The study provides support for the job model, that is, women and men have similar levels of commitment once all other factors are controlled. Although the results show that, ceteris paribus, the organizational commitment of women is statistically significantly higher than that of men, the effect size is trivial in practical terms. The study also discloses the fact that the determinants of organizational commitment of men and women are similar, thus refuting a commonly held notion about gendered job attribute preferences. Support for gender as a moderator between organizational commitment and its antecedents is not found. COVID-19-related work adjustments do not seem to have affected the commitment of Polish male and female workers to their employers.

The study adds to the scarce empirical literature on organizational commitment in Poland. To date, only a small number of such studies exist for Poland, and all of them use small homogeneous samples and limited questionnaires. The results are of value to researchers as well as HR managers seeking to improve long-term commitment to organizations.

The objective of this work is to demonstrate how the use of a business process management (BPM) methodology reinforced with the use of lean manufacturing (LM) tools and practices enhances information and documentation flows.

For this purpose, a case study on a large wind blade manufacturing company is described, in which BPM and LM were combined to improve information and documentation flows associated to the process of quality inspections and quality controls.

The joint use of BPM and LM strongly contributed to the improvement of information and documentation flows. The BPM lifecycle can be used to guide the entire improvement process, while LM tools can be used to act at specific points with an emphasis in the process analysis and implementation phases. Thus, LM complements a BPM approach leading to significant process improvements.

The results show that LM can be used to support some phases of the BPM lifecycle. Furthermore, LM can contribute to identify lean waste in information and documentation flows associated to quality management processes and help in the selection of methods and tools to support process improvements.

This study is one of the first reporting the use of LM tools and practices as complementary to the BPM methodology to support the improvement of information and documentation flows associated to quality management in a large manufacturing company. This research enriches the literature by presenting empirical evidence that these two continuous improvement approaches are not incompatible in their objectives and visions and can complement each other.

This study explored the relationship between employees' cognitive capabilities and firm performance by exploring the moderating role of decision-making style and the mediating effect of knowledge creation. Understanding the role of cognitive capabilities in value creation is crucial for human resource management to achieve the anticipated organizational performance.

Structural equation modeling, cognitive skills theory, cognitive skills acquisition theory and a knowledge creation framework were applied.

The first finding suggests that only A-shaped skills predict higher knowledge creation, while T-shaped skills do not. Second, knowledge creation predicts higher financial performance and a lower level of financial uncertainty. Third, T-shaped skills have no indirect effect on financial performance or financial uncertainty. Fourth, A-shaped skills exerted significant indirect effects on financial performance and uncertainty. Fifth, the rational decision-making style did not moderate the link between knowledge creation and financial performance, as opposed to the intuitive decision-making style.

A review of existing research indicates a lack of studies examining the effect of cognitive skills on organizational outcomes and contingencies under which cognitive skills lead to superior outcomes. This study advances research on T-shaped and A-shaped skills and knowledge creation by empirically exploring their interrelationships with financial performance. Managerial implications and suggestions for future research are also highlighted.

In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises.

This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises.

The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance.

This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.

Borrowers’ intentional non-payment of bank loans despite being able to pay is a financial crime. This paper explores how willful loan defaulting became a societal practice in Bangladesh, where non-performing loans (NPLs) are assumed to surpass BDT 4 trillion mainly due to habitual defaults of large borrowers.

This study reviewed publicly available documents and interviewed bank managers, loan takers, regulators and industry experts. It drew on Pierre Bourdieu’s practice theory, specifically the concepts- habitus, capital and field, to explain the permeation of “intentional defaulting culture” in the banking industry.

Willful defaulting in Bangladesh is an outcome of a harmonious blend of defaulters’ mindsets and possession of capital supported by the structure and rules of the field. The socio-political context facilitates, rather than impedes, the “unwillingness to pay” motive of the habitual defaulters due to their possession of different forms of capital.

Understanding of how the crime of willful defaulting emerges and persists in society may have policy and practice implications in economies suffering NPL problems.

This study explicates how individual intents and institutional structures jointly amplify financial crimes in society.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.