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The study analyzed how the service-learning (SL) methodology can become a university social responsibility (USR) strategy that generates shared value for the university and its stakeholders.

This qualitative and exploratory–descriptive research had a nonexperimental field and cross-sectional design that used field techniques such as focus groups and in-depth interviews with the participants of the USR program “MIPyME vs COVID-19” in two Latin American countries.

This study revealed the perceptions of students who participated in the USR program on how a virtual service-learning (vSL) strategy related to the use of technology generates a positive impact on the development of shared learning between students and micro-entrepreneurs from a global and Latin American perspective, as well as for the internationalization of their study plans.

The field study was conducted in only two Latin American countries; however, the USR program has been implemented in eight universities from eight Latin American countries with very similar social, political and health contexts.

It is one of the first studies on SL used in a strategic and articulated way in universities with a USR approach. It analyzed traditional evaluations of this methodology, incorporating others such as virtuality (produced by the effects of the COVID-19), which led the authors to generate methodological innovations based on new ways of connecting, linking and generating shared learning and value for all.

Large, influential and profitable young adults are being targeted for fast fashion that negatively impacts the environment. The transition from a fast to an environmentally friendly slow fashion is a challenging process and culturally dependent. The process starts with slow fashion idea adoption. Thus, the authors modified an information acceptance model (IACM) to examine information characteristics (idea/information quality, credibility, usefulness, source credibility) and consumer factors (need for idea and attitudes) impacting intentions to adopt the slow fashion idea in Canada, South Africa (individualists) and China (collectivists).

Cross-sectional data were collected from South African (n = 197), Chinese (n = 304) and Canadian (n = 227) young adults (18–35 years old) at universities in metropolitan cities. Partial least squares structural equation modeling was used to analyze the data.

The results show that while most information characteristics and consumer factors are vital for slow fashion attitudes and intention formation, information quality and trust in the sources were a problem in individualistic cultures as opposed to the collectivist culture. This finding confirms the greater tendency of collectivists to trust disseminated information on environmental issues. In all cultures, attitudes impacted idea adoption intentions. On testing IACM, the multigroup analyses showed no significant differences between young adults in the individualistic cultures. Attitudes mediated most relationships and were highly explained by IACM (South Africa, 49.6%; China, 74.5%; and Canada, 64.5%).

In emerging and developed markets, this study informs environmentalists and green fashion brands of information characteristics that can create positive attitudes and slow fashion idea adoption intentions among influential young adults.

Organizations increasingly use inclusion initiatives to reflect a meaningful involvement of their entire workforce as part of their larger diversity, equity and inclusion (DEI) strategies. However, the conceptualization of inclusion and its impact on larger DEI efforts and the organization remains unclear, coupled with the organizations’ struggles to find ways to embrace and advance inclusion. Hence, the purpose of this study is to synthesize ways of inclusion conceptualizations and review empirical evidence related to inclusion.

The authors conducted a literature review using the method of scoping review coupled with topical cluster mapping techniques.

The authors captured three ways of inclusion conceptualizations and provided an overview of topic clusters related to inclusion and its measurement tools. The authors also proposed a path model of inclusion based on emerging empirical evidence related to inclusion in the workplace.

To the best of the authors’ knowledge, this is one of the pioneering efforts to provide a much-needed review of inclusion in the workplace, which provides guidance for further research and practice to fulfill the goal of inclusion for all in the current workplace.

This study develops a measure of anticipated chilly climate for women and provides initial evidence of its validity.

We draw on three studies. Study 1 consisted of three focus groups to gain deeper insights into the meaning of the concept for prospective female jobseekers and generate scale items. In Study 2, we pre-tested job post vignettes (N = 203), refined the scale items and explored the factor structure (N = 136). Study 3 aimed to determine the convergent and discriminant validity of the new scale (N = 224) by testing its relationships with organisational attractiveness, person-organisation fit perceptions and gendered language.

The results show that the anticipated chilly climate is an important concept with implications for applicants’ career decision-making and career growth in the technology industry, where women tend to be underrepresented. Perceptions of anticipated chilly climate comprise expectations of devaluation, marginalisation and exclusion from the prospective employment. The masculine stereotypes embedded in the language of the job posts signalled a chilly climate for both genders, negatively affecting perceptions of fit and organisational attractiveness.

Most previous studies have focussed on the actual experiences of chilly climates in organisations. We extend this body of literature to anticipatory climates and draw on social identity threat theory and signalling theory to highlight that job applicants make inferences about the climate they expect to find based on job ads. Specifically, they may anticipate a chilly climate based on cues from job ads signalling masculine stereotypes. Whilst the literature has emphasised women’s perceptions of chilly climates within organisations, our results show that both genders anticipate chilly climates with detrimental consequences for both organisations and prospective job applications.

The present study was designed to explore the major challenges being faced by the Indian nurses' pre-post pandemic period affecting their well-being (WB) and identify factors that motivated them to perform their service wholeheartedly during the pandemic. The study also tries to bridge the gap in the study area by providing various ways that can help maintain the WB of health care professionals.

A descriptive exploratory qualitative design involving semi-structured interviews was conducted during December–January 2021 with 30 nurses from hospitals in Punjab Qualitative and thematic data analysis technique were adopted. In addition, a literature review was also conducted to study the various factors that affect the WB of health care professionals.

There are various themes and subthemes that were identified by the health care professionals, such as (1) psychological WB, (2) social WB and (3) workplace WB and (4) key motivators. This research work has identified various managerial implications that can play a huge rolein strengthening the healthcare sector of the entire world economy, paving the way toward the better WB of healthcare professionals (HCPs).

Firstly, it is probably the only study that is performed on nursing staff to evaluate their personal experiences during crucial times. It has successfully compared the factors affecting WB pre- and post-pandemic, leading to the emergence of many new factors that have originated due to the pandemic and are the cause of the poor WB of HCPs (Figures 2, 4). Secondly, it is the only study that targeted only those nurses who have provided their services in both scenarios. Finally, the study has been a pioneer in identifying the importance of maintaining the WB of HCPs at hospitals.

This qualitative study has two aims. The first is to explore the cognitive, affective, and behavioural dimensions of Eurasian self-initiated expatriates’ (SIEs) work and non-work adjustments in Korea. The second is to understand how the Confucian-oriented Korean culture influences Eurasian SIEs' work and non-work domains, in particular their organisational practices and relations with locals.

This study was conducted through a qualitative analysis of interviews conducted with 27 Eurasian SIEs working in Korea. The interviews were conducted face-to-face with open-ended questions.

Eurasian SIEs in Korea express different cognitive, affective, and behavioural life and work adjustment processes that affect their future careers. A high level of language proficiency and knowledge of cultural and social expectations does not guarantee work and life adjustment success. Due to the heavy presence of Korean culture in work and living environments, SIEs face challenges in joining social and work networks and balancing work and life domains, which slows down adjustment. Results indicate that SIEs adjusted well regarding cognitive and behavioural dimensions in work and non-work domains. However, affective adjustment is difficult to achieve, even for SIEs who have lived in the country for many years, and many have the intention to leave if there were other options.

This study contributes to the literature by focussing on the multidimensionality of SIEs' work and life adjustments, with cognitive, affective, and behavioural components. SIEs have been in a complicated process of adaptation and integration for a long time. This study attempts to contribute to SIE literature by analysing the elements of Confucianism-oriented Korean culture and organisational practices prevalent in SIEs' multidimensional adjustment and career challenges.

Sustainability is of growing significance in the contemporary business landscape as organizations strive to minimize their environmental impact and optimize supply chain (SC) operations. Gaining insights into the influence of Triple A SC practices on sustainable performance can offer valuable perspectives for practitioners and policymakers. This study aims to comprehensively review existing academic literature on Triple A supply chain management (SCM) and sustainability, examining its impact on sustainable performance while identifying key influencing factors.

This review follows the six steps and 14 decisions of conducting a systematic literature review to comprehensively review 57 papers published between 2004 and 2023.

Based on the content analysis of the selected papers, this study summarizes the antecedents, practices and outcomes of Triple A SCM, with a particular focus on its implications for sustainability. This paper builds a conceptual framework from the descriptive and thematic findings to enrich the relevant aspects of Triple A SCM.

This study establishes a connection between Triple A SCM and sustainable performance by examining its impact on economic, social and environmental aspects. This review identifies research gaps and acknowledges the lack of specificity in implementing Triple A SCM across diverse industries, regions and competitive markets with varying external environments. It emphasizes the necessity to customize approaches based on contextual factors and provides valuable recommendations for future research to advance the concept of Triple A SCM.

Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.

As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.

The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.