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The aim of this study is to explore the link between green manufacturing practices, operational competitiveness, firm reputation and sustainable performance dimensions as well as advance a mediation approach.

The study resorted to structured questionnaire to collect data from 158 manufacturing firms from different industries, and partial least square–structural equation modelling is used to test all hypothesized relationships.

The results indicate that green manufacturing has a positive significant impact on social, economic and environmental performance. However, firm reputation and operational competitiveness were found not to significantly influence economic performance. The mediation analysis also showed that operational competitiveness, firm reputation and environmental performance play no mediation role between green manufacturing and economic performance. Furthermore, social performance is found to mediate the relationship between green manufacturing and economic performance.

The study did not consider any moderator variables. Also, the universal applicability and generalizability are somewhat a problem since data was mainly collected from Ghana, an emerging country.

The results provide managers with reasonable evidence to proactively implement and invest in green manufacturing practices because such practices will not only have a positive impact on their sustainable performance dimensions but further enhance operational competitiveness and provide firms with superior reputation.

The study provides significant findings that contribute to and expand the literature on green manufacturing, and it is among the relatively few studies that has investigated the link between green manufacturing, sustainable performance dimensions, firm reputation and operational competitiveness, especially from a mediation analysis perspective.

The mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within organisation. Despite its great potential, organisations have shown resistance towards the usage of the mHRM app. This study investigates the dark side of electronic HRM (eHRM) by examining factors affecting HR professionals' resistance to the mHRM app using status quo bias (SQB) theory. The study also examines the moderating effect of personal innovativeness.

Responses were collected from 239 HR professionals using an online survey. Structural equation modelling (SEM) and PROCESS macro were used to examine the hypotheses.

The results indicated that regret avoidance, inertia, switching costs and perceived threat significantly affect HR professionals' resistance towards mHRM app adoption. Results also indicated that high personal innovativeness negatively moderates the association between inhibitors and resistance to adopt the mHRM app.

The study's findings will help HR professionals reduce their resistance towards mHRM app adoption.

This study enriches eHRM, mobile applications and the SQB literature.

Promoting positive mental health is increasingly being encouraged as the focus of research and policies on the mental health of construction personnel. Most measures of mental health, however, typically use negative indicators such as depression and anxiety and are not specifically developed for the construction workforce, especially those with a Global South background. These limitations have made it challenging to measure construction personnel’s positive mental health. The purpose of this study was, therefore, to develop a scale for measuring the positive mental health of construction personnel with a Global South background.

Guided by Keyes’ two-continua model of mental health, the study objectives were addressed through a mixed-methods study using the case of Ghana. Qualitative data collected from eight key stakeholder groups using 16 interviews and two rounds of focus group discussions were analysed thematically. Quantitative data were obtained through a survey of 425 construction personnel and analysed using confirmatory factor analysis and correlation analysis.

Thematic analysis revealed a four-dimensional structure of positive mental health, namely, emotional, psychological, social and spiritual. Confirmatory factor analysis and correlation analysis of the results indicated good instrument validity and reliability.

Existing measures of positive mental health are based on a three-dimensional model, i.e. emotional, social and psychological well-being. By including spiritual well-being, this study proposes a four-dimensional measurement model as a more comprehensive and promising measure to use in surveys of positive mental health among the construction workforce, especially those with a Global South background, and to develop suitable interventions for them.

Given the progressive rise of online health communities (OHC) that have predominantly changed health delivery services, healthcare organizations still face tremendous challenges of low patient participation and lack of high-quality contribution to OHC. Prior scholars indicated that inducing patient value co-creation behavior (VCB) is substantially beneficial for the sustainable growth of OHCs. However, what drives patients' behavior to co-create value is still unknown. To fill this important gap, this study used the service-dominant logic of value co-creation theory and face (mianzi in Chinese) literature to discover how patient co-creation attitude (CA) affects patient VCB. Also, this study aimed to explore the joint mechanism of how face gain (FG) and face loss (FL) impact patients' VCB in OHCs.

The survey data of 322 patients actively using OHC in China were analyzed via partial least squares structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).

The results revealed that patient CA positively influences VCB, that is participation behavior (PB) and citizenship behavior (CB). Face gain (FG) strengthens the impact of CA and patient PB and CB, whereas face loss (FL) weakens the impact of CA and patient PB and CB. Furthermore, the fsQCA findings signify the robustness of the study model.

This study explores the multifaceted mechanism of patient value co-creation in OHC and discloses the crucial role of face for the first time. Further, the novel findings of this study provide a robust framework for advancing the understanding of important drivers of patient VCBs that significantly helps healthcare service providers and OHC managers to sustain OHCs.

This study aims to use the dual-continuum model of mental health to explore mental health in Australian construction apprentices from the perspective of key stakeholders in the apprenticeship model. In particular, this study explored how construction apprentices, Vocational Education and Training (VET) teachers, industry employers and mental health workers understood the construct of mental health, factors associated with the dimension of psychological distress/symptoms of mental illness, and factors associated with the dimension of mental wellbeing.

This study used an exploratory qualitative research design. Data from 36 semi-structured interviews were analysed using thematic analysis. Participants comprised 19 Australian construction apprentices, 5 VET teachers, 7 industry employers and 5 mental health workers.

In total, 14 themes were generated from the data set. Participants across stakeholder groups reported a limited understanding about mental health. Participants cited a range of negative personal, workplace and industry factors associated with psychological distress/symptoms of mental illness, but only reported a few factors associated with mental wellbeing.

To the best of the authors’ knowledge, this study is one of the first to use the dual-continuum model of mental health to explore the mental health of Australian construction apprentices, and to explore the factors associated with both dimensions of this model from the perspective of key stakeholders in the Australian construction apprenticeship model.

This study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.

The study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).

The findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.

To multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.

This study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

FinTech offers numerous prospects for significant enhancements and fundamental changes in financial services. However, along with the myriad of benefits, it also has the potential to induce risks to individuals, organisations and society. This study focuses on understanding FinTech developers’ perspective of the dark side of FinTech.

This study conducted semi-structured interviews with 23 Nigerian FinTech developers using an exploratory, inductive methodology The data were transcribed and then thematically analysed using NVivo.

Three themes – customer vulnerability, technical inability and regulatory irresponsibility – arose from the thematic analysis. The poor existing technological infrastructure, data management challenges, limited access to data and smartphone adoption pose challenges to a speedy integration of FinTech in the country, making customers vulnerable. The lack of privacy control leads to ethical issues. The lack of skilled developers and the brain drain of good developers present additional obstacles to the development of FinTech in Nigeria.

FinTech operation in a developing country differs from that in developed countries with better technological infrastructure and institutional acceptance. This study recognises that basic banking operations through FinTech are still not well adopted, necessitating the need to be more open-minded about the global practicalities of FinTech.

FinTech managers, banks and policymakers can ethically collect consumer data that can help influence customer credit decisions, product development and recommendations using the mobile app and transaction history. There should be strict penalties on FinTech for selling customers’ data, sending unsolicited messages or gaining unnecessary access to the customer’s contact list. FinTech can offer to educate consumers about their financial management skills.

Whereas other studies have focused on the positive aspects of FinTech to understand client perceptions, this study offers new insights into the dark side of FinTech by analysing the viewpoints of FinTech developers. Furthermore, the study is based in Nigeria, an emerging economy adopting FinTech, adding a new dimension to the body of knowledge.

Mobile human resource management application (mHRM app) has emerged as an innovative solution to manage human resources. However, the performance of the application is questionable, and hence, it is crucial to know employees' perception towards it. This study aims to explore employees' perceived service quality towards mHRM app using the moderated-mediation framework.

Data were collected from 265 Indian HR professionals using online questionnaire. The proposed hypotheses were examined using structural equation modelling and PROCESS Macro.

Results indicate that navigation and contact significantly affect employees' mHRM usage behaviour. Results also indicate that perceived values significantly mediates the association between perceived service quality and mHRM usage behaviour.

The findings of the study will help organisations in enhancing their employees' perceived service quality towards mHRM app.

This study contributes to the literature on human resource management, total quality management and cognitive-motivational-relational (CMR) theory.

This research focuses on the interactions between architects and end-users during the design process of housing projects, both experiencing challenges and friction points when meeting.

The authors conducted a systematic literature review (SLR), based on and adapted from Kitchenham and Charters' work (2007). The thematic analysis of N = 104 identified articles reveals 13 main themes and 30 subthemes specific to architects, end-users and the interactions of architects and end-users, and 3 main groups of other actors intervening in these dynamics. The authors organize the data by actors and the actors' social encounters, themes and subthemes. The authors focus on some aspects, given possible evolution of practices.

The authors question the role of architects and the ways both parties share respective knowledge. The authors also discuss the various scales of social encounters depicted through literature, from traditional discursive meetings to participatory practices, and raise the lack of convincing tools genuinely used in current housing architecture practices. Finally, the authors point out the need for further field research in order to practically bridge the gap between researchers and practitioners.

The authors present an overview of the most relevant papers, organized in a table and grouped by themes. This represents a major output of this SLR, and gives the concerned readers the opportunity to get a grasp on readers' sub/theme of interest.

The study aims to look at the types of social media participants through user-generated content (UGC) and how this leads to brand engagement in a fashion retail context. In doing so, it explores the effects of social context of brand-related content on other social media users, which promotes socially influenced consumer brand engagement (SICBE) in social media settings.

The study postulates the existence of social realities as consistent with social constructivism, with multiple realities of social influence outlined on the basis of ontological relativism. To fulfil the proposed research objectives, research data were gathered from professional and social participants based on specific inclusion criteria, purposive sampling technique and a semi-structured interview method.

Findings highlighted various types of UGC participants with differing objectives in their use of UGC; these participant types are passive, creators, critics and collectors/consumers. The study uncovered many social context that can increase the effectiveness of UGC. The social context is explored through social trust, Fashion UGC expertise and relevance. These UGC participants and social context can foster SICBE in a fashion retail context.

This study proposes a holistic framework which highlighted the role of UGC participants and social context can foster SICBE in a fashion retail context.