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Textile and contemporary apparel manufacturers are adopting and integrating cutting-edge technologies to reduce their impact on the environment and gain an advantage in the marketplace. Most previous studies have ignored business intelligence systems (BIS), notably in the textile and apparel industry (T&A), in favor of looking at the larger picture of how big data would affect retail and distribution in a company. This is especially true for the T&As.

The authors report that they conducted 14 semi-structured interviews with 12 international luxury tourism service providers. In this case, researchers use snowball features and systematic techniques to select participants. A qualitative content analysis strategy is used to capture the focus of the interviews.

Problems with T&A company sustainability, opportunities to increase value creation via use of industry-leading business intelligence (BI) solutions and perceived roadblocks to BIS adoption were all found by the poll. Garment retail and distribution sector has benefited greatly from the increased use of Industry 4.0 technologies, especially those that provide better BI solutions. Determine the extent to which industry participation slows down or speeds up the process. The Company Information System (BIS) will help convince non-tech-savvy business owners of the financial, economic and environmental benefits of adopting certain technologies developed as part of the industry 4.0 movement.

The authors of this research claim theirs is one of the first to investigate what variables affect the uptake of BIS, ultimately hoping to find out how BIS may be used by T&A businesses to tackle environmental issues through the use of Industry 4.0 technologies. The purpose of this study was to see whether BIS might aid T&A firms with their sustainability issues.

In the last several years, there has been a meteoric rise in interest in big data and business analytics among firms and educational institutions alike. This paper tries to introduce readers to the concept of business analytics in a way that is both academic and accessible, considering both the present and future of the field. This paper begins with a quick introduction, followed by a summary of the three distinct forms of predictive modeling discussed.

In an effort to help aspiring analytics professionals, they have identified, categorized and evaluated the nine distinct players that are now active in the analytics market. Following this, they will provide a high-level summary of the many different research projects currently being worked on by their group.

Based on the affective events and self-concept theories, this study aims to examine the relationship between knowledge sharing system, job crafting, meaningfulness in work and employees' intention to stay with the organization.

In the present study, the authors conducted a time-lagged survey for analyzing the association between knowledge sharing system, job crafting, meaningfulness in work and employees' intention to stay with the organization. The study sample comprises 358 Generation Y employees working in Indian IT organizations. Results were analyzed using Process and Hayes macro process.

The study findings suggest significant relationships between knowledge sharing system, job crafting, meaningfulness in work and intention to stay among Gen Y employees. Moreover, the results demonstrated that knowledge sharing system, directly and indirectly, impacts employees' intention to stay via sequential mediation of job crafting and meaningfulness in work.

In today's era of hyper-competition and “war for talent,” retaining talented professionals has become the topmost priority for organizations. This becomes even more challenging with new generations, Gen Y and Z, entering the workforce driven by entirely different needs compared to earlier generations. Thus, the present study offers an integrated framework that organizational practitioners could utilize to enhance the retention of their young talented professionals.

Despite the emerging interest in the concept of knowledge sharing, few studies investigated the association between knowledge sharing system and intention to stay among Gen Y employees. Also, research still lacks in examining the underlying mechanism of how knowledge sharing system may enhance job crafting and meaningfulness in work, which could fuel Gen Y employees' intention to stay with the organization.

This paper aims to focus on academic library managers’ learning practices in the context of cooperative work supported by computational artefacts. Academic library managers’ everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts efficiently and effectively involves understanding the changes in everyday work that affect managers and, therefore, it requires deep understanding of their cooperative work practices.

Focused ethnography was conducted through participant observations, interviews and document analysis. Ten managers from a university library in Sweden participated in the research. A thematic method was used to analyse the empirical material. Computer supported cooperative work (CSCW) and work-integrated learning was used as the conceptual lens.

Five learning practices were identified: collaboration, communication, coordination, decision-making processes and computational artefacts’ use. The findings show that learning is embedded in managers’ cooperative work practices, which do not necessarily include sufficient training time. Furthermore, learning was intertwined with cooperating and was situational. Managers learned by reflecting together on their own experiences and through joint cooperation and information sharing while using the computational artefacts.

The main contribution lies in providing insights into how academic library managers learn and cooperate in their everyday work, emphasizing the role of computational artefacts, the importance of the work context and the collective nature of learning. It also highlights the need for continual workplace learning in contemporary knowledge work environments. Thus, the research generates contributions to the informatics field by extending the understanding of managers’ work-integrated learning in their everyday cooperative work practices supported by computational artefacts’ use. It also contributes to the intersection of CSCW and work-integrated learning.

This paper aims to understand the main challenges connected with accountability issues across multiple layers of the metaverse, to identify whether and how any techwashing is taking place and to discuss implications for accounting research.

To develop the research, the authors refer to a critical dialogic accountability framework, operationalized in the current paper by leveraging the perspectives of accountability as virtues and as mechanisms (Bovens, 2010). The authors discuss who is accountable to whom, for what and in what manner in a relatively unregulated and unaccountable world, through the layers of virtual reality introduced by MacKenzie et al. (2013) and Llewellyn (2007). Methodologically, the study concentrates on 32 start-ups working in the metaverse selected from the Crunchbase database and relies on interviews, direct observation in the field and white paper reports analyzed by means of NVivo coding.

The findings show how metaverse creators deal with accountability as a virtue and accountability as a mechanism. Companies who operate metaverses primarily consider accountability in the virtual-physical domain, which focuses on developing the necessary internal and external architecture to enable a particular metaverse to function. Metaverse companies also emphasize the virtual-agential dimension that concentrates on onboarding, engaging with and incentivizing individuals in virtual worlds. There is an emphasis on outlining the virtues or standards that metaverse companies aspire to, but there is very little detail provided. Similarly, there are uneven and limited discussions of the mechanisms that can support accountability in most layers of a virtual world.

The analysis raises significant questions about the purpose, scope and use of metaverses, which are still a relatively unregulated and unaccountable world. The paper advances the idea that the current creators of metaverses are “techwashing” their projects, providing a utopian ideal of what their universes will look like but obfuscating the realities of their ventures in tech jargon that few people are likely to understand. Therefore, meaning and truth at all levels of the real and virtual worlds remain unaddressed, with implications to be explored in terms of legitimacy and trust of metaverses and the interests that shape them.

This paper is one of the first to address the issue of accountability in metaverses. It advances an analytical framework to guide future accounting and accountability research into virtual worlds.

The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.

The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.

The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).

This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.

This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

This research seeks to investigate the impact of individual entrepreneurial orientation (IEO) and entrepreneurial exposure on new-venture gestation activities during COVID-19 pandemic.

This paper adopted negative binomial regression (NBR) modeling with a sample of Saudi female nascent student entrepreneurs (N = 1,032).

The research found that females' IEO is significantly and positively associated with how much progress they make in term of the number of activities they carried out in the new-venture gestation stage. Similarly, females who had high entrepreneurial exposure are more likely to commit to many activities and progress in the new venture. Therefore, those who have entrepreneurial experience perform better different new-venture gestation activities during the COVID-19 pandemic than those who have little or no experience.

Over a transformation of demographic variables and using NBR, this paper is the first paper in Saudi Arabia that develops and tests a theoretically based model linking the perceptual entrepreneurial orientation of nascent student entrepreneurs with objectives variables to the progress of new-venture gestation activities.

The benefits of integrating immersive technologies (ImTs) within a construction safety context are acknowledged within the literature; however, its practical application on construction sites remains low. Whilst research into the integration of ImTs within the construction industry is underway, most have viewed this from a broader adoption context or within educational settings, and not specifically from a practical on-site safety perspective. Therefore, the purpose of this study is to address the contributing factors to its integration within on-site safety processes, using the experiences of active construction professionals.

This study adopts a qualitative approach. Data was collected through online focus groups involving UK based construction professionals with experience in using ImTs, recruited using selective sampling. Data sets were subsequently analysed using inductive thematic analysis and are presented within key themes.

The results showed that among the experienced construction professionals, the use of ImTs specifically for on-site safety applications (including inductions/training/workshops) was rare on projects. The findings identified various contributing factors related to the integration of ImTs, including the potential improvements in on-site safety practices such as enhanced communication of hazards, safety planning, engagement during training and more accurate risk assessment. Critical challenges, concerns and frustrations included a lack of engagement from senior level management, inadequate leadership, limited investment, a need for digital expertise, fear of complacency and the acceptance of ImTs within existing safety processes from the wider project team.

This study provides a fresh perspective to this field by using practical accounts from active and experienced on-site construction professionals. This study supports the integration of ImTs within the construction industry, presenting key contributing factors influencing its integration within on-site safety processes. These factors can be considered by industry adopters, and includes the rationale, challenges and potential on-site benefits of ImTs.