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Supply chain collaboration is increasingly important in today’s competitive business environment. While prior research has acknowledged the role of relationships in facilitating collaboration, few studies have considered inter-personal and inter-organisational attributes simultaneously. This study addresses this gap by investigating these two levels of the manufacturer-supplier relationship in Vietnam’s fishery industry and their impacts on supply chain collaboration.

The study employed a quantitative approach. A questionnaire was distributed to 635 fishery manufacturers in Vietnam by the drop-and-collect method. EFA and CFA were used to assess the reliability and validity of the measurement model, while CB-SEM was employed for structural model assessment and hypothesis testing.

Supply chain collaboration encompasses incentive alignment, collaborative communication, decision synchronisation, and information sharing. All antecedents, including commitment, inter-organisational trust, reciprocity, and inter-personal trust, positively affect collaboration. Inter-personal trust positively influences the other antecedents, and inter-organisational trust enhances commitment. Furthermore, there are partial mediating effects among these relationship attributes. However, no significant moderating effect regarding firm size is observed.

The study extends the social exchange theory to encompass both inter-personal and inter-organisational relationship attributes. Additionally, it pioneers in investigating the interrelatedness of these antecedents. By addressing the research gap in the Vietnamese fishery supply chain, it offers valuable insights for both academics and practitioners, contributing to theoretical understanding and practical implications in supply chain collaboration.

To map nurses’ actions performed during the care transitions from hospital to home of Covid-19 patients.

A scoping review based on the Joanna Briggs Institute guidelines was carried out. We searched in seven databases: PubMed/MEDLINE, BDENF, LILACS, SciELO, Embase, Scopus, Web of Science and Google Scholar. A two-step screening process and data extraction was performed independently by two reviewers. The findings were summarized and analyzed using a content analysis technique.

Of the total 5,618 studies screened, 21 were included. The analysis revealed nurses’ actions before and after patient’ discharge, sometimes planned and developed with the interprofessional team. The nurses’ actions included to plan and support patients’ discharge, to adapt the care plan, to use screening tools and monitor patients’ clinical status and needs, to provide health orientation to patients and caregivers, home care and face-to-face visiting, to communicate with patients, caregivers and other health professionals with phone calls and virtual tools, to provide rehabilitation procedures, to make referrals and to orient patients and families to navigate in the health system.

The results provide a broader understanding of the actions taken and challenges faced by nurses to ensure a safe care transition for Covid-19 patients from hospital to home. The interprofessional integration to discharge planning and the clinical nursing leadership in post-discharge monitoring were highlighted.

The nurses’ actions for Covid-19 patients performed during care transitions focused on coordination and discharge planning tailored to the needs of patients and caregivers at the home setting. Nurses monitored patients, with an emphasis on providing guidance and checking clinical status using telehealth tools.

Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.

The purpose of this study is to examine how the constructs of false self, preference for online social interaction (POSI), compulsive internet use (CIU), and online disinhibition affect social withdrawal in a social media context. The mediating effects of moral disengagement and cyber aggression are also tested.

Data were collected using an online survey (n = 533) from consumers in Japan. This study used structural equation modeling and PROCESS to examine the proposed relationships.

The study revealed that false self positively affects moral disengagement while online disinhibition positively affects cyber aggression and moral disengagement. Preference for online social interaction and compulsive internet use both positively impacts social withdrawal. Cyber aggression and moral disengagement were established mediators between false self/ Preference for online social interaction/ compulsive internet use/ online disinhibition and social withdrawal.

Although restricted to cyberaggression, owing to the reciprocal relationship between cyber victimization and cyberaggression, cyber victimization can be included for further study. This study expands the understanding of social withdrawal within the context of social media.

Based on the findings, policies and programs that address mental health that build self-esteem, self-confidence and reduce anxiety ought to be undertaken. Managing and formulating guidelines on anonymity should also be taken into consideration.

This research demonstrates the crucial constructs that affect social media users negatively from the aspects of cyberaggression, moral disengagement and social withdrawal. It also establishes the importance of mental health in reducing adverse effects from social media.

The purpose of this study is to analyze the determinants influencing Japanese consumers’ behavior toward the purchase of 5G smartphones.

Empirical data was collected through an online survey of 320 Japanese respondents from ages 20 to 59. Data was analyzed by exploratory factor analysis, confirmatory factor analysis and multiple regression analysis.

The results indicate that hedonic value, user interface and price value (PV) positively influence attitude toward 5G smartphone purchase, while utilitarian value does not. In addition, the mediation effect of social influence (SI) is found to increase those positive effects. Male and female consumers displayed differences in the determinants, showcasing the effect of gender on attitude and behavior.

To the best of the authors’ knowledge, this study is the first research to analyze Japanese consumers’ behaviors’ toward 5G smartphone purchase. Past research for 3G/4G smartphones supported that usefulness positively influenced consumers’ behavior toward smartphones, so usefulness of 5G (e.g. high speed) was expected to be a factor to influence consumer behaviors’ toward 5G smartphones. However, this research reveals that a simple tagline emphasizing such usefulness may not be convincing enough to promote the 5G smartphones to Japanese consumers. Alternatively, the research indicates that introducing the concepts of joyfulness, improved HV and greater PV of the 5G smartphone could attract more consumers in Japan. In addition, SI could enhance the perception of the various benefits of 5G smartphones.

This study aimed to evaluate the effectiveness of using a virtual patient (VP) software program in increasing clinical reasoning skills confidence among medical students.

A quasi-experimental design was used to compare the outcomes of students’ confidence levels on clinical reasoning between problem-based learning (PBL) and VP program with 122 pre-clinical Year 2 medical students. History taking, physical examination, clinical investigations and diagnosis was investigated using four PBL cases in the oncology block. Pre- and post-differences in mean confidence scores between the arms were compared, as well as mean difference by type of case and skill category.

A total of 122/156 (78.2%) students participated; n = 55 were from 7 VP groups and n = 67 were from 13 control arm groups. For the primary outcome, the VP arm showed a statistically significant increase in confidence measures among 11/16 (4 cases × 4 skills) categories, compared to 4/16 for the control arm. The proportion of the students who indicated an improved confidence was statistically significant for the cervical cancer case for physical examination (60.0% improved in VP vs 12.5% in control), investigation (60.0% VP vs 18.8% control) and diagnosis (60.0% in VP vs 25.0% in control). Finally, analysis by case showed an increment in overall mean scores from the start to end of the case within the VP arm while the pattern was erratic in the control arm cases.

The study results showed that incorporating the VP into PBL was more effective in increasing students’ clinical reasoning confidence levels compared to the usual PBL. As the study utilized existing PBL cases, it demonstrates how medical schools can incorporate digital VP tools into pre-clinical years before students' transition to learning from actual patients in the clinical years.

Research has started exploring how brand heritage perceptions affect people. However, little attention has been paid to the underlying mechanisms and the link between brand heritage and relational outcomes. This study aims to integrate research on brand heritage with the stereotype-content model (SCM) to offer a novel explanation of why and when consumers identify with heritage brands.

Two quasi-experimental studies with consumers in Germany (N = 312 and N = 300) focus on multiple real brands to test the mediating roles of warmth and competence. Given the central role of anthropomorphism in brand applications of the SCM, two corresponding variables are examined as moderators, one relating to the brand (brand anthropomorphism) and the other relating to the individual (a person’s feeling of loneliness). Category involvement, state anxiety, brand familiarity, past orientation and consumer age are included as controls.

The findings indicate that warmth and competence mediate the brand heritage consumer–brand identification relationship. In addition, they highlight the moderating role of brand anthropomorphism and loneliness.

This study offers a novel process explanation for how brand heritage perceptions influence consumer–brand relationships, contingent upon loneliness and anthropomorphism.

The findings help marketers better understand how and when warmth and competence transmit positive brand heritage effects, resulting in more favorable responses.

To the best of the authors’ knowledge, this work is among the first to adopt a stereotype-content and anthropomorphic perspective on consumer responses to brand heritage perceptions.

While today's customer steadily adapts to various modes of shopping, their beliefs around fluency through each shopping channel, and personal factors such as income level, can impact their intention to patronage or purchase from omnichannel department stores. Hence, this study analysed the customers of omnichannel fashion department stores, using perceived fluency and income as indirect factors that help understand customers' patronage intention and purchase intention.

The overarching framework for this research is the theory of reasoned action, in which patronage and purchase intentions represent the specific likelihood-of-performance behaviours. A Seemingly Unrelated Regression model was empirically used to analyse the relationships between generational cohorts, income, and perceived channel fluency and the behaviours that lead to patronage intention and purchase intention. Researchers conducted a survey among 552 omnichannel fashion department store consumers to examine today's retail environment.

The results of this study suggest that (1) consumers between the ages of 50 and 69 years, including older Generation X and younger Baby Boomers, who earn between $60,000 and $79,999 in annual salary show a significantly positive relationship with both patronage and purchase intentions through perceived fluency and (2) consumers between the ages of 38 and 49 years, including older Millennials and younger Generation X, who earn between $80,000 and $99,999 in annual salary show a significantly positive relationship with purchase intention through perceived fluency

This study analyses correlations between a generational cohort, perceived fluency as moderated by income and the relationship between these variables and customers' patronage and purchase intentions, which has not been studied before.

This paper aims to develop and validate a scale to measure knowledge-sharing motives at work. It is aimed to construct a scale which is explicitly different from knowledge-sharing behavior and to develop a comprehensive and domain-specific scale for this special kind of work motivation.

The constructed scale was tested in two studies. Survey data (n = 355) were used to perform an exploratory factor analysis. Results were further tested on survey data from the core public sector (n = 314) and the health sector (n = 315). A confirmatory factor analysis confirms the results in both samples. The developed scale was further validated internally and externally.

The analysis underlines that knowledge-sharing motivation and knowledge-sharing behavior are different constructs. The data suggest three dimensions of knowledge-sharing motives: appreciation, growth and altruism and tangible rewards. While it is suggested that the developed scale works in the public as well as the private sector context, it is found that knowledge sharing of public employees is merely driven by “growth and altruism” and “appreciation of coworkers.”

No comprehensive and reproducible scale to measure knowledge-sharing motives, which is different from behavior and domain-specific as well, was available in the literature. Therefore, such a scale has been constructed in this study. Furthermore, this study uses samples from different organizational sectors to deepen the understanding of knowledge sharing in context.

Knowledge loss (KL) is still an unfortunate fact, causing many challenges, including poor organisational performance, despite prior efforts to investigate knowledge retention methods. Therefore, this study identifies early approaches to combat KL and poor organisational performance, shifting focus on employee personality traits.

Grounded on the social exchange theory (SET) cross-section data from 400 Chinese construction knowledge employees were used to investigate the role of internal work locus of control (IWLC) on job rotation (JR), KL and organisational performance. The data were analysed through IBM SPSS Statistics 25 and SmartPLS 4 software.

The results demonstrated that IWLC minimises KL and positively influences JR. Then, JR negatively influences KL and decreases in organisational performance. The negative mediating effect of JR in the relationship between IWLC, KL and decreased organisational performance were also found. Finally, KL proved to positively influence a decrease in organisational performance.

This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees' behaviours to establish progressive collective learning and knowledge sharing.

This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees’ behaviours to establish progressive collective learning and knowledge sharing.

This study is the first attempt to explore the influence of personality traits in the early minimisation of KL, particularly the role of IWLC and JR in combating KL and improving organisational performance.