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Sharing co-owned information on social network platforms has become a common and inevitable phenomenon. However, due to the uniqueness of co-owned information, the privacy calculus theory based on a single information owner cannot explain co-owned information disclosure. Therefore, this study tries to investigate the underlying mechanism of users’ co-owned information disclosure from a collective privacy calculus perspective.

Through a survey of 740 participants, covariance-based structural equation modeling (CB-SEM) was used to verify the proposed model and hypotheses.

The results show that personal benefit, others’ benefit and relationship benefit promote users’ co-owned information disclosure by positively affecting personal distributive fairness and others’ distributive fairness perception. Meanwhile, personal privacy risk and others’ privacy risk prevent users’ co-owned information disclosure by negatively affecting personal distributive fairness and others’ distributive fairness perception. Besides, others’ information ownership perception enhances the positive effect of others’ distributive fairness perception on co-owned information disclosure intention. Furthermore, others’ information ownership strengthens the mediating role of others’ distributive fairness.

The findings of this study enrich the research scope of information disclosure and privacy calculus theory and help social network platform developers design collective privacy protection functions.

This study develops a collective privacy calculus model to understand users’ co-owned information disclosure on social network platforms, confirming the mediating role of collective distributive fairness and the moderating role of others’ information ownership perception in the process of collective privacy calculus.

The purpose of this study is to contribute to previous research on customer relationships by quantitatively examining differences in the monetary benefits obtained by consumers using social and commercial relationships to make purchases from small and medium-sized enterprises (SMEs).

Customer transaction and relationship data from an SME in the USA is used to quantitatively assess the value of different marketplace relationships in an entrepreneurial context. Tobit regression is used to empirically model and test the impact of specific relationship characteristics on customer discounts.

Customers using social connections to make purchases obtain significantly larger discounts than customers using commercial connections; customers using direct connections attain significantly larger discounts than consumers using indirect connections (referrals). Interestingly, when examined by connection type, direct and indirect connections do not produce significant differences for social connections, yet they yield notable differences for commercial connections. The findings provide valuable insights to entrepreneurs for understanding and managing customer relationships.

This study empirically demonstrates that social relationships can be both prevalent and influential in the marketplace. The methodology used to quantitatively assess the monetary value associated with different methods of engaging with SMEs allows objective comparisons among different types of customer relationships. Quantification also allows important relationship characteristics to be empirically examined, including how the relationships compare to one another and to nonpersonal marketing activities. Ultimately, these novel contributions generate important insights to help marketers and entrepreneurs better understand customer relationships.

The purpose of this study is to provide empirical evidence on a possible economic explanation for changes in borrowing costs of US private firms that are going public.

Using an OLS regression with firm fixed effects and the IPO as an information releasing event that alters information asymmetries between borrowers and lenders and relying on several proxies for pre-IPO information asymmetries, I analyze the impact of the IPO on changes in borrowing costs from before to right after an IPO of firms with high pre-IPO information asymmetries.

My findings indicate that small firms, firms with high R&D, firms with negative EBITDA and firms with a single lending relationship benefit more from going public by realizing larger decreases in borrowing costs after an IPO than firms with lower pre-IPO information asymmetries. The results are consistent with changing information asymmetries caused by the IPO event playing a role in changes in borrowing costs after the IPO. Furthermore, I provide empirical evidence that a reduction in the lender’s bargaining power due to the IPO event plays an important role in explaining changes in borrowing costs around that time.

This study uses a hand-collected data set of loans obtained from financial statements issued by US firms at the time of their IPO. As a result, I am able to comprehensively document changes of borrowing costs of US private firms going public and shed light on one of the economic forces behind those changes.

The paper aims to investigate how perceived psychological benefits from employee participation in corporate social responsibility activities affect organizational citizenship behavior across two Asia–Pacific countries with different national cultures.

A stakeholder relationship model, based on social exchange theory, underpinned the investigation that also tested the mediating role of organizational pride. In a cross-cultural context, data were collected from 319 full-time employees in Thailand and the US and analyzed with SEM-PLS.

Anticipated psychological benefits of hedonic value and perceived community value were found to be significant antecedents of organizational citizenship behaviors, operationalized as customer-directed CSR advocacy. Organizational pride played a partial mediating role.

This study addresses a lack of micro-level CSR research into the relationship between psychological benefits of employee participation in CSR and organizational citizenship behavior. Specifically, this is the first study to link CSR drivers with customer-directed employee advocacy of the firms CSR activities. The study is also the first to compare relationships between an Asian and Western context for CSR drivers of organizational citizenship behaviors.

The purpose of this study is to contribute to the existing literature on the importance of mentorship in academia, particularly in higher education. Specifically, this study aims to address the research gap related to academic mentorship from a gendered perspective. The Productive Mentoring Framework and relational–cultural theory theoretically support this study.

In this qualitative descriptive study, purposive sampling was used to recruit 19 participants for semi-structured interviews and a focus group. Two research questions guided this study: (1) How do individuals who identify as women describe the importance of mentorship in academia? (2) How do individuals who identify as women describe mentorship in academia from a gendered perspective? Using Braun and Clarke’s (2006) thematic analysis, a total of six themes emerged, with three themes identified for each of the two research questions from the data: (a) guidance and support, (b) personal and professional development, (c) inclusive and accountable relationships, (d) empathetic and supportive mentorship, (e) interpersonal connectivity and (f) gender empowerment and advocacy.

The research findings suggest that the participants held perceptions of gender disparity within academia. Additionally, empowering interpersonal relationships with other women and supportive environments were crucial in overcoming challenges and developing personally and professionally in higher education institutions. Future research is recommended to explore the perspectives of women supporting women and the perception of gender disparity in academia.

While successfully addressing the research questions, this study has limitations. One limitation was that this study had a relatively small sample size of participants who identified as women, which limited the focus of this research. Another limitation was that interview and focus group participants did not mention working with mentors who fall outside the traditional binary of male and female. Finally, limitations can occur in qualitative research as there is potential bias in the data analysis process. However, member-checking and codebook verification were utilized to minimize this constraint.

There are practical implications from the research for mentoring practices in academia. Since the results indicated benefits to women, institutions could prioritize mentoring programs, especially pairing same-gender mentors and mentees. This helps new employees navigate academia. Mentoring fosters interpersonal connectivity, improving academic culture. By supporting mentoring relationships and professional friendships, leaders positively impact dynamics within institutions. Gender disparities and systemic barriers call for advocacy within higher education. Mentor training programs should address these issues, providing a platform for solutions. Administrators' awareness may support efforts to improve equity.

The study is original in its focus on academic mentorship from a gendered perspective, as described by women in academia, notably higher education.

Despite the increasing interest in the role of supply chain concentration (SCC) in improving performance, its influence on firms' sustainability performance remains unexplored, as do the underlying mechanisms of this relationship. Drawing on resource dependence theory, the authors investigate the relationship between SCC and manufacturing firms' sustainability performance and the moderating roles of operational slack and information transparency.

The authors use secondary data from 3,581 manufacturing firms listed on the Shanghai and Shenzhen A-share stock markets from 2006 to 2020 to conduct an empirical analysis using panel data regression models.

Manufacturing firms' SCC is negatively related to sustainability performance until it reaches a certain point, where SCC positively affects sustainability performance, presenting a U-shaped relationship. In addition, operational slack represented by a quick ratio moderates the relationship between SCC and sustainability performance by flattening the curve. Operational slack represented by receivable turnover ratio moderates the relationship between SCC and sustainability performance by steepening the curve and shifting the turning point left. Information transparency strengthens the effect of SCC on the sustainability performance by steepening the curve.

This investigation provides a comprehensive view of the SCC– sustainability performance relationship.

While size asymmetry in buyer–supplier relationships has been studied in non-disruption contexts, this research explores how supplier size influences positive and negative supply chain disruptions. Anchoring on the commitment-trust theory (CTT), we explore buyer commitment as a mediating variable and examine how buying firms' mediated power usage depends on different supplier sizes and types of supplier-induced disruptions.

Through two scenario-based behavioral experiments, we discover different patterns in buyers' use of mediated power, contingent on the types of supplier-induced disruptions.

In negative disruptions, buyers prefer more mediated power with large suppliers to control uncertainties, using reward or coercive power strategies. In positive disruptions, we find opposite results, indicating different buyers' perceptions and actions are contingent on both the supplier size and the types of disruptions. These findings underscore the complex interplay between supplier size, buyer commitment and mediated power strategies, revealing that disruption type significantly shapes buyer responses.

This paper extends the CTT framework by considering new antecedents and outcomes. We also provide a more comprehensive understanding of buyer behavior when facing positive and negative supplier-induced disruptions. Our study has limitations. Through vignette-based behavioral experiments, there is a risk that scenarios may not accurately represent real-life situations and that decision-making dynamics could be oversimplified. Future research should incorporate nuanced measurements and conduct additional qualitative research for a comprehensive understanding.

This study enriches the understanding of the buyer-supplier relationship by expanding the CTT framework for a more comprehensive picture. We also offer nuanced insights into size dynamics and disruption types, emphasizing tailored strategies in supply chain management. The findings underscore the importance of understanding these nuances to employ tailored strategy in a business-to-business (B2B) context, as mediated power is contingent on multiple factors.

Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service ecosystem, artificial intelligence (AI) plays a key role in value co-creation. Therefore, this study is undertaken to empirically uncover how AI can empower CCOS.

The source data were collected from 305 service provider respondents and quantitative methodology was applied for data analysis.

New service development augmented with AI provides tangible value to service providers while also providing intangible value to supportive customers. With AI, service providers adapt to new innovations and enrich additional information, which eventually outperforms human-created services.

AI adoption for CCOS empowerment in service businesses brings “service-market fit”, which represents the significant benefits wherein customers contribute to creativity, intuition, and contextual awareness of services, and AI contributes to large-scale service-related analysis by handling volumes of data, service personalisation, and more time to focus on challenging problems of the market.

This study presents theoretical concepts on AI-empowered CCOS, AI technological innovativeness, customer participation in human-AI interaction, AI-powered customer expertise, and perceived benefits in CCOS, and subsequently discusses the CCOS empowerment framework. Then, it proposes a novel conceptual model based on the theoretical concepts and empirically measures and validates the intention to adopt AI for CCOS empowerment. Overall, the study contributes to novel insight on empowering service co-creation with AI.

This study examines the relationships among residents' event impact perceptions, attitude towards events, attitude towards sponsors and sponsor-related behavioural intentions (i.e. purchase intention and word-of-mouth).

Focusing on the Naha Marathon in Okinawa, Japan, as a research context, data were collected from residents of Okinawa who were familiar with the Naha Marathon and its sponsors (N = 322). Structural equation modelling was employed to test the hypotheses, developed based on theories of social exchange, image transfer and planned behaviour.

The findings revealed that residents’ perceptions of social event impacts, rather than economic and environmental impacts, were associated with attitudes towards the event. Such an effect was indirectly associated with purchase intentions and word-of-mouth intentions via attitude towards the sponsors.

The current research contributes to the literature on sport sponsorship, especially in participation-based sports, by exploring how event sponsors can enjoy fruitful returns on investment. The findings can extend our understanding by highlighting the importance of positive community engagement for sponsors. Sponsors who aim to enhance consumer behaviour should prioritize strategies aligning with the positive social impacts of events.

School–university partnerships are important in teacher education to ensure PK-12 preservice teachers gain teaching experience prior to becoming teachers of record. Drawing on Ball and Cohen’s (1999) concept of “practice-based teacher education,” this three-year qualitative study examines the results of an intentionally reciprocal school–university partnership centered on a practice-based learning, field-based course. The following question guided this research: Having designed and facilitated a school–university partnership centered on reciprocity, what factors contributed to and/or took away from this commitment?

The current study examined three data sources, namely: (1) seven semi-structured focus group interviews with a teacher educator, sixth-grade teachers (n = 4) and a principal; (2) eight question/answer sessions between preservice teachers and partnering secondary teachers and (3)one focus group between the two authors. Data were analyzed using reflexive thematic analysis.

This study’s findings highlight the reciprocal nature of the school–university partnership, showcasing the positive outcomes and challenges faced by stakeholders. Clear communication and ongoing dialogue were identified as key elements to establishing and maintaining a reciprocal relationship. Additionally, emphasis on shared learning experiences between partners were found valuable and important to maintaining benefit to all partners. Relationship development also remained an important and positive outcome of this partnership. Additionally, there were challenges related to time, and schedule constraints were evident in the partnership. Moreover, ongoing reflection and a willingness to adjust and change based on experiences and lessons learned ensured participants recognized the importance of ongoing iteration and calibration to address challenges and enhance the partnership.

Because of the chosen research approach, the research results may lack generalizability.

The paper includes implications for the development of other school–university partnerships that prioritize reciprocity, highlighting an often assumed, but not always examined, component necessary to the success of school–university partnerships.