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The purpose of this study is to investigate how mentors can convince young, certified, inexperienced employees to remain in a healthcare organisation, and how mentors address “stay or quit” when mentees’ lived experiences reveal feelings of insufficiency as crisis in their daily work. We explore how turnover is affected by the mentors’ and mentees’ discussions within the manager’s domain.

Within the framework of crisis management, the study employs qualitative content analysis of 21 interview responses from mentors, mentees and managers. The analysis includes mentees’ answers, which are analysed in terms of “weak signals” based on lived experiences and mentors’ and managers’ answers in terms of different capabilities to increase mentees’ wish to remain in the organisation.

The results show that the deep relationship between the mentee and the mentor is crucial. It is possible for the mentor to detect weak signals from the mentee’s thoughts, doubts and lived experiences. The study extends the understanding of a more subtle mechanism the mentor uses in the close relation to the mentee, alongside the manager. The findings confirm those of previous research concerning improved job satisfaction and self-improvement in the profession.

The findings explain why mentors, as necessary organisational resources, can contribute more successfully than managers to keeping young employees.

The study links the crucial relational mentorship to increased willingness to remain in an organisation among young mentees without career support.

Drawing on value cocreation, this study examines health-care customers’ perceptions of patient-centered care (PCC) in hospital and online primary care settings. This study aims to address how are the key principles of PCC related, how the relationships between key PCC principles and outcomes (subjective well-being and service satisfaction) vary depending on the channel providing the care (hospital/online primary care) and what differences are placed on the involvement of family and friends in these different settings by health-care customers.

This study comprises four samples of health-care customers (Sample 1 n = 272, Sample 2 n = 278, Sample 3 n = 275 and Sample 4 n = 297) totaling 1,122 respondents. This study models four key principles of PCC: service providers respecting health-care customers’ values, needs and preferences; collaborative resources of the multi-disciplinary care team; health-care customers actively collaborating with their own resources; and health-care customers involving family and friends, explicating which principles of PCC have positive effects on outcomes: subjective well-being and service satisfaction.

Findings confirm that health-care customers want to feel respected by service providers, use their own resources to actively collaborate in their care and have multi-disciplinary teams coordinating and integrating their care. However, contrary to prior findings, for online primary care, service providers respecting customers’ values needs and preferences do not translate into health-care customers actively collaborating with their own resources. Further, involving family and friends has mixed results for online primary care. In that setting, this study finds that involving family and friends only positively impacts service satisfaction, when care is provided using video and not voice only.

By identifying which PCC principles influence the health-care customer experience most, this research shows policymakers where they should invest resources to achieve beneficial outcomes for health-care customers, service providers and society, thus advancing current thinking and practice.

This research provides a health-care customer perspective on PCC and shows how the resources of the health-care system can activate the health-care customer’s own resources. It further shows the role of technology in online care, where it alters how care is experienced by the health-care customer.

Our research seeks to understand how actors in the Australian cotton industry can address downstream labour and human rights risks in the textiles and apparel value chain.

Taking the Australian cotton industry as the site of our action research project, we conducted a qualitative thematic analysis of 19 interviews, supplemented by industry engagement and desktop research.

We identify seven opportunities for action by the Australian cotton industry to address downstream labour and human rights risks, which are articulated in the context of a strategic enforcement approach.

The research focuses on opportunities for action to address downstream labour and human rights risks, thereby going beyond the traditional interventions by fashion brands and retailers that target upstream actors.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

Identity, positioning and possibilities intersect differently for South Asian women in white academia. Within a broader migrant community that defines Australian life, these identities and positioning imply great possibility, but pursuing such pathways within academia is a walk on the last strand of resilience. This paper explores this tension of possibilities and constraints, using hope theory to highlight the cognitive resistance evident in the narratives of three South Asian women in Australian academia.

The authors use collaborative autoethnography to share their narratives of working in Australian universities at three different stages of careers, utilising Snyder's model of hope theory to interrogate their own goal-setting behaviours, pathways and agentic thinking.

The authors propose that hope as a cognitive state informs resistance and enables aspirations to contribute within academia in meaningful ways whilst navigating the terrain of inequitable structures.

The authors' use of hope theory as a lens on the intersectional experiences of career making, building and progression is a new contribution to scholarship on marginalised women in white academe and the ways in which the pathways of resistance are identified.

Drawing on the reciprocity principle of social exchange theory situated within Service-dominant Logic, this study aims to examine how customers’ perception of knowledge sharing in co-production, their inherent scepticism and prosocial orientation relate to their willingness to co-create and provide feedback on services. The authors also explored the interplay between these factors to identify conditions in configurations comprising scepticism, which may help navigate its adverse effects.

The authors surveyed 556 online and offline mobile payment service users. They used a combination of partial least squares structural equation modelling (PLS-SEM) to assess the relationships among variables, and fuzzy-set qualitative comparative analysis (fsQCA) to identify configurations associated with feedback behaviour.

The study determined that customer perception of co-production knowledge sharing is positively associated with willingness to co-create and feedback behaviour. Additionally, prosocial orientation positively affects this relationship, while scepticism has an adverse effect. Willingness to co-create mediates the relationship between customer perception of co-production knowledge sharing and feedback behaviour. The fsQCA findings revealed configurations for potentially navigating doubts regarding feedback. To encourage valuable customer feedback, businesses may consider promoting a collaborative and supportive atmosphere, emphasising shared advantages or building trust even among hesitant and doubtful individuals.

This study uniquely examines how both prosocial tendencies and scepticism relate to customer feedback behaviour in co-creation by using a hybrid PLS-SEM/fsQCA approach to identify co-existing conditions in configurations comprising scepticism that may help navigate its adverse effects and leverage customer feedback for business improvement.

Based on the premise that young adults, as knowledge workers, are overstimulated by a constant bombardment of information from digital channels like social media, this paper aims to explore how the information overload, largely redundant and noisy, extracts cognitive resources from the workers without providing meaningful interaction, resulting in an aversive state of boredom characterized by a desire to engage in any meaningful activity but an inability to do so, both in their private and organizational lives.

A review of the literature on boredom, focusing on the meaning and attention components (MAC) model of boredom is conducted to explain the phenomenon. This is followed by an exploration of information overload and the proposal of a dynamic spillover of boredom from the nonwork domains of workers to their organizational lives by integrating literature on work/life boundary spillover mechanisms.

The propositions suggest that overstimulation and boredom are carried into their organizations by the workers.

The moderating effects of personality traits and organizational contexts like culture and digital infrastructure, which are outside the scope of this paper, can inform future research.

The perilous ramifications of this spillover on both workers and their organizations are discussed, along with strategies for how organizations can help workers find meaning and purpose in their workspaces to reduce their propensity for boredom.

This paper addresses and extends the limited research on the effects of information overload from social media on the organizational lives of knowledge workers.

This exploratory research, designed with a grounded theory method, was conducted to reveal the current relationship marketing challenges and strategies in retail banking in an emerging economy, namely, Türkiye.

The data were collected through semi-structured interviews with 25 bankers and then analyzed with a qualitative approach.

The research findings highlight four main challenges for relationship marketing in retail banking industry: omnichannel approach powered by digital transformation, artificial intelligence, new customer experience, and the expansion of financial services ecosystem.

Our research identifies new challenges in the field of relationship marketing, especially regarding strategies in the post Covid-19 pandemic era, specifically from the bank employees’ points-of-view.

Due to the close connection between urban cluster and carbon emissions (CEs) but a lack of study on it of the construction industry, this paper aims to explore the relationship between the polycentric spatial structure (PSS) of the urban clusters and CEs of the construction industry (CECI).

This research uses panel data of 10 Chinese urban clusters from 2006–2021, calculates their PSSs in the aspects of economy and employment and adopts a panel regression model to explore the effect of the spatiotemporal characteristics of the PSSs on the CECI.

First, the CECI in 10 Chinese urban clusters showed a rising trend in general, and the CECI in the Yangtze River Delta (YRD) was much higher than those in the rest of urban clusters. Second, both Shandong Peninsula (SP) and Guangdong-Fujian-Zhejiang (GFZ) exhibited high degrees of polycentric characteristics, while Beijing-Tianjin-Hebei (BTH) showed weaker degrees. Third, the results demonstrated that the polycentric development of urban clusters did not help reduce the CECI but rather promote the CE. The polycentric index, considering the linear distance from the main center to sub center, had a more significant impact on the CECI.

Previous studies have investigated the impact of urban spatial structure (USS) on CEs; however, few of them have studied in the field of construction industry. Moreover, most research of CEs have concentrated at the national and provincial levels, with fewer studies on urban clusters. This paper contributes to this knowledge by investigating how the PSS of urban cluster influence the CECI.

The purpose of this study is to review the literature on the adoption determinants of mobile health (M-health) applications for health behavior change following a systematic methodology.

This review systematically identified 134 peer-reviewed studies out of 10,687 from Scopus, Web of Science, PubMed and the Association for Computing Machinery (ACM) published between 2010 and 2021. This review used a thematic analysis to produce the main themes conceptualizing a holistic framework of the investigated M-health application adoption factors.

Despite the exploration of multifaceted adoption determinants and behaviors, the current publications exhibit limitations. The studies not only show a lack of representation of multiple health behaviors and medical conditions but also fail to involve data from low- and middle-developing countries, where M-health application utilization is crucial. Findings revealed that there is a considerable absence of a solid theoretical foundation that unveils a gap in interpreting the adoption factors effectively. Understanding cultural and demographic variances and exploring financial factors and healthcare provider involvement is essential for tailoring M-health application interventions. Continuous assessment of technological factors and evaluation of the actual impact of M-health application usage on behavioral changes and health outcomes will further enhance the effectiveness and adoption of these technologies.

This review is one of the first comprehensive reviews of determinants of M-health application adoption targeting health behavior change for the general public and patients.