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Customer participation (CP) in service recovery is one of the ways to co-create value with the service provider. Most existing studies assume that customers are willing to participate in service recovery, provided the firm offers them the opportunity. In this study, the authors propose the construct named customer intention to participate in service recovery (CIPSR), develop a scale for it and argue that it is not always implicit but rather is dependent on the consumer's perceived control.

A multi-method approach was used with a combination of qualitative interviews, literature review, unaided dimension identification, correspondence analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling to develop the CIPSR scale. The authors used structural equation modelling to test the proposed effect of perceived control on CIPSR.

The study proposes a four-dimensional scale for CIPSR. The authors also found support for the effect of perceived control on CIPSR, with anxiety and failure controllability attribution as intermediate variables.

This study develops a comprehensive scale to measure CIPSR using a rigorous multi-method technique, as well as establishes its importance in the existing literature.

This study aims to examine whether country of residence, sex trafficking attitudes, complainant gender, juror gender and right-wing authoritarianism (RWA) influenced juror decision-making within a sex trafficking case.

Jury-eligible participants from the USA and the UK participated in an online juror experiment in which an independent group design was used to manipulate the complainant’s gender. Participants completed the juror decision scale, the sex trafficking attitudes scale and the RWA scale.

Sex trafficking attitudes predicted the believability of both the defendant and complainant. Greater negative beliefs about victims predicted greater defendant believability and lower complainant believability. US jurors reported greater believability of both the complainant and defendant, and RWA was associated with greater defendant believability. However, none of the other factors, including complainant and juror gender, predicted participants’ verdicts. The findings suggest juror verdicts in sex trafficking cases may be less influenced by extra-legal factors, although further research is needed, especially with a more ambiguous case.

This is one of the few cross-cultural comparison studies in the area of jury decision-making, specifically regarding sex trafficking cases. The findings indicated that US participants held more problematic attitudes about sex trafficking than their UK counterparts, although all participants held problematic attitudes about sex trafficking. However, those attitudes did not affect verdict formation about either a male or female complainant. Participants who were more knowledgeable about sex trafficking reported greater complainant believability, suggesting that educational interventions may provide greater support for victims in court.

Performance measures are an important mediating mechanism that influences the design and delivery of care. Unfortunately, it is still commonly the case that acute care indicators are employed to assess the efficacy of integrated care. This hinders the ability to accurately assess and continuously improve integrated care efforts for priority populations, including older persons who live with complex health and social care requirements. A core set of indicators is needed from which to assess the quality and impact of integrated care on these older persons and care partners.

A modified Delphi process was employed that comprised of the following steps: (1) selection of an indicator inventory (2) defining criteria for ranking and achieving consensus, (3) recruiting participants, (4) iterative voting rounds and analysis and (5) selection of a core indicator set.

The study produced a core set of 16 indicators of integrated care that pertain to older persons who live with health and social care requirements. The set can be applied by health and social care organizations and systems to assess the quality and impact of integrated care for this population across the continuum of care.

Although the gap in the availability of relevant indicators was the impetus for the study, this also meant there was a dearth of validated indicators to draw from. There are significant gaps in commonly used data sets with respect to indicators of integrated care as it relates to older persons and care partner.

The indicator set is intended to follow the older person and care partner throughout their health journey, enabling a whole systems view of their care. The set can be used in full or in part by health and social care systems and organizations across various primary, acute, rehabilitative and community settings for program development and evaluation purposes.

The core set of indicators that emerged out of this study is a first step toward ensuring that older persons who live with complex health and social care requirements and their care partners receive quality integrated care across the continuum of care.

The findings are informed by the perspectives of older persons, care partners and healthcare professionals. Future research is needed to test, validate and potentially expand the indicator set.

This study aims to shed light on the relationship between gender diversity and group performance by considering the moderating role of relative cultural distance. Drawing from the categorization–elaboration model (CEM), the authors hypothesize that gender-diverse collaborative learning groups perform better when a low level of relative cultural distance in country-level individualism–collectivism or power distance exists among group members.

To test this hypothesis, the authors conducted a study on 539 undergraduate students organized into 94 groups. The assessment of group performance was based on scores given by external raters.

The authors found that relative cultural distance significantly moderated the gender diversity–group performance relationship such that gender diversity was positively related to group performance when the collaborative learning group included members who similarly valued individualism–collectivism or power distance (i.e. relative cultural distance was low) and was negatively related to group performance when the collaborative learning group comprised members who differently valued individualism–collectivism or power distance (i.e. relative cultural distance was high).

This study contributes to understanding when gender diversity is positively associated with group performance by expanding the range of previously examined diversity dimensions to include relative cultural distance in country-level individualism–collectivism and power distance.

While previous studies have investigated the factors influencing the internet adoption, the findings may not be transferable to explain blockchain technology adoption, despite its similarities to the internet. This study aims to address this gap by exploring the mediating effect of innovation culture and the moderating effect of innovation policies on business model innovation (BMI) outcomes in emerging economy firms. It investigates how these factors synergistically facilitate BMI, offering practical guidance for public authorities and managers to develop relevant policies and govern businesses effectively.

This study collected data from 287 valid responses among 948 listed companies on the Taiwan Stock Exchange using a structured questionnaire. This study used structural equation modeling and Process Model 5 to analyze direct and indirect effects, focusing on corporate key capabilities for BMI while exploring the combined impact of innovation culture and policies.

The study revealed that innovation culture and innovation policies synergistically facilitate BMI, accelerating firms’ progress toward BMI in the emerging economy context. These outcomes offer valuable guidance for public authorities and company managers in formulating relevant policies and managing businesses effectively.

This study contributes to the literature by uniquely exploring the combined influence of innovation culture and policies on BMI in emerging economy firms, shedding light on their compounding effect and offering practical implications for policy-making and business management.

Fear of COVID-19 is a new workplace hazard that has made drastic changes at workplaces globally. Based on the conservation of resource (COR) theory, this research investigates the relationship between fear of COVID-19 and employee engagement. Furthermore, this study examines the moderating role of emotional stability in the relationship between fear of COVID-19 and employee engagement.

Data were collected using self-administrated questionnaires from bank employees located in different cities of Pakistan. PROCESS macro by Hayes et al. (2017) was used to analyze 267 valid responses.

Consistent with the hypotheses of this study, fear of COVID-19 was negatively associated with employee engagement. In addition, the moderating role of emotional stability was confirmed in the relationship between fear of COVID-19 and employee engagement. The findings of this study support the notion that fear of COVID-19 can be considered a workplace stressor that affects employee engagement. By contrast, emotional stability acts as a personal resource with a buffering effect.

This study investigates only the moderating mechanism in the relationship between fear of COVID-19 and work engagement. A self-reported questionnaire was used to collect the data. For future studies, other sources can be used to reflect the actual situation.

This study is currently relevant because of the sudden occurrence of the COVID-19 pandemic that has mentally and emotionally challenged the service employees. Unlike most prior studies, which investigated the impact of fear of COVID-19 on the health sector professionals, this study investigated the impact on the bank employees. Moreover, this study is among the first to provide insights on the role of employee's personality to maintain positive work attitudes during uncertain circumstances from COVID-19.

This study aims to examine individual behaviours regarding coronavirus disease-2019 vaccine brands.

Firstly, qualitative research identified the reasons for vaccine hesitancy in relation to specific brands using data gathered from 36 semi-structured interviews and processed with Leximancer software. Secondly, a new conceptual model was developed with data from 917 questionnaires and analysed using partial least squares-structural equation modelling. The model integrates health treatment effectiveness, vaccines’ immediate health benefits and individuals’ hope as antecedents of perceived vaccine brand reliability and company reputation and their relationships with choice uncertainty.

The results reveal that vaccine hesitancy can be linked with individual, group and contextual and vaccine brand influences and that brand reliability and company reputation antecedents have variable but statistically significant effects on choice uncertainty.

This research’s contribution lies in its analyses of vaccine acceptance and uncertainty from a vaccine brand perspective. The results can guide brand management policies implemented by public and private organisations.

This study contributes to academic literature by filling in two gaps. The first was that no prior studies have directly addressed vaccine brands’ impact, whereas the second gap was the need for brand management policies that public (e.g. governments and public health agencies) and private organisations (e.g. pharmaceutical laboratories) can apply.

The purpose of this article is to examine synergies between a eudaimonic model of psychological well-being (Ryff, 1989) and mental health practice. The model grew out of clinical, developmental, existential and humanistic perspectives that emphasized psychological strengths and capacities, in contrast to the focus on emotional distress and dysfunction in clinical psychology.

Conceptual foundations of the eudaimonic approach are described, along with the six components positive functioning that are used to measure well-being. These qualities may be important in facilitating the recovery experiences, which are of interest in Mental Health and Social Inclusion.

Four categories of empirical evidence about eudaimonia are reviewed: how it changes with aging, how it matters for health, what are its biological and neurological underpinnings and whether it can be promoted. Major contemporary forces against eudaimonia are also considered, including ever-widening inequality, the enduring pandemic and world-wide strife. In contrast, encounters with the arts and nature are put forth as forces for eudaimonia. The relevance of these ideas for mental health research and practice is considered.

Enormous suffering defines our contemporary world. Such realities call for greater attention to factors that undermine as well as nurture the realization of human potential, the core of eudaimonic well-being.

Mental health is often defined as the absence of mental illness. The novelty of the eudaimonic approach is to define mental health as the presence of well-being, assessed with different components of positive functioning.

The purpose of this study is to examine how the implementation of edge computing can enhance the progress of the circular economy within supply chains and to address the challenges and best practices associated with this emerging technology.

This study utilized a streamlined evaluation technique that employed Latent Dirichlet Allocation modeling for thorough content analysis. Extensive searches were conducted among prominent publishers, including IEEE, Elsevier, Springer, Wiley, MDPI and Hindawi, utilizing pertinent keywords associated with edge computing, circular economy, sustainability and supply chain. The search process yielded a total of 103 articles, with the keywords being searched specifically within the titles or abstracts of these articles.

There has been a notable rise in the volume of scholarly articles dedicated to edge computing in the circular economy and supply chain management. After conducting a thorough examination of the published papers, three main research themes were identified, focused on technology, optimization and circular economy and sustainability. Edge computing adoption in supply chains results in a more responsive, efficient and agile supply chain, leading to enhanced decision-making capabilities and improved customer satisfaction. However, the adoption also poses challenges, such as data integration, security concerns, device management, connectivity and cost.

This paper offers valuable insights into the research trends of edge computing in the circular economy and supply chains, highlighting its significant role in optimizing supply chain operations and advancing the circular economy by processing and analyzing real time data generated by the internet of Things, sensors and other state-of-the-art tools and devices.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.