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This research investigated how biological scientists' perceived academic reputation, community trust, and norms all influence their perceived academic reciprocity, which eventually leads to their data sharing intentions.

A research model was developed based on the theory of collective action, and the research model was empirically evaluated by using the Structural Equation Modeling method based on a total of 649 survey responses.

The results suggest that perceived academic reputation significantly increases perceived community trust, norm of data sharing, and academic reciprocity. Also, both perceived community trust and norm of data sharing significantly increases biological scientists' perceived academic reciprocity, which significantly affect their data sharing intentions. In addition, both perceived community trust and norm of data sharing significantly affect the relationship between perceived academic reciprocity and data sharing intention.

This research shows that the theory of collective action provides a new theoretical lens for understanding scientists' data sharing behaviors based on the mechanisms of reputation, trust, norm, and reciprocity within a research community.

This research offers several practical implications for facilitating scientists' data sharing behaviors within a research community by increasing scientists' perceived academic reciprocity through the mechanisms of reputation, trust, and norm of data sharing.

The collective action perspective in data sharing has been newly proposed in this research; the research sheds light on how scientists' perceived academic reciprocity and data sharing intention can be encouraged by building trust, reputation, and norm in a research community.

What are the performance implications of peer monitoring in a multiple-supplier context? Grounded in agency and social exchange theories, this study aims to examine how, when, and why peer monitoring works as a crucial control mechanism to reduce opportunism among suppliers.

A conceptual model and research hypotheses are tested using survey data from 246 respondents in 82 supplier groups.

Results suggest that peer monitoring is related positively to perceived deterrence (as mediator) and negatively to opportunism, whereas the mediated relationship is moderated negatively by generalized reciprocity and positively by balanced reciprocity and negative reciprocity.

This study introduces the application of peer monitoring into business-to-business research and shows how it reduces opportunism. Its findings have implications for manufacturers on how to use peer monitoring to control opportunism among multiple suppliers.

This study aims to investigate the factors influencing the data sharing habits of psychologists with respect to academic reciprocity.

A research model was developed based on Ostrom’s (2003) theory of collective action to map psychologists’ underlying motivations for data sharing. The model was validated by data from a survey of 427 psychologists, primarily from the psychological sciences and related disciplines.

This study found that data sharing among psychologists is driven primarily by their perceptions of community benefits, academic reciprocity and the norms of data sharing. This study also found that academic reciprocity is significantly influenced by psychologists’ perceptions of community benefits, academic reputation and the norms of data sharing. Both academic reputation and academic reciprocity are affected by psychologists’ prior experiences with data reuse. Additionally, psychologists’ perceptions of community benefits and the norms of data sharing are significantly affected by the perception of their academic reputation.

This study suggests that Ostrom’s (2003) theory of collective action can provide a new theoretical lens in understanding psychologists’ data sharing behaviours.

This study suggests several practical implications for the design and promotion of data sharing in the research community of psychology.

To the best of the authors’ knowledge, this is one of the initial studies that applied the theory of collective action to the mechanisms of reputation, community benefits, norms and reciprocity in psychologists’ data sharing behaviour. This research demonstrates that perceived community benefits, academic reputation and the norms of data sharing can all encourage academic reciprocity, and psychologists’ perceptions of community benefits, academic reciprocity and data sharing norms all facilitate their data sharing intentions.

The purpose of this paper is to understand the antecedents of fanaticism through the lens of attribution theory and “norm of reciprocity”. It is proposed that consumers will reward firms with high perceived effort, including both general and specific effort by increasing their loyalty and becoming a fan of the company.

The data are collected in a high-tech services industry, mobile phone services. A paper-based survey using mall intercept technique was employed in this study. The sampling design was a combination of convenience sampling (any adult who happened to be at a given location on a given day and time) and system probability sampling (every fifth adult who passed the data collection point was approached and asked to participate in the study). The final sample size is 600.

The antecedents of fanaticism are identified as both firm’s general effort (i.e. service quality and innovativeness) and specific effort (i.e. perceived reciprocity). In addition, perceived regulatory control moderated the relationship between innovativeness, part of firm’s general effort and customer fanaticism. To be more specific, perceived regulatory control increased the effect of perceived innovativeness on fanatical loyalty.

The introduction of the role of perceived regulatory control in the interactions between firms and customers has not been adopted in previous research and can contribute a new body of knowledge to the current literature. This research has implications for service providers, especially in high-tech industries.

The purpose of this paper is to explore antecedents of helping behaviors among nurses using a social exchange framework. The paper reports an investigation into the effects of reciprocity, perceived coworker efficacy and stress on active and passive helping behaviors.

To test hypotheses, the authors performed random coefficient modeling on Mplus with data from 155 full-time nurses.

Nurses were willing to help coworkers regardless of perceived reciprocity levels in the relationship. Rather, their perceptions of the coworker's efficacy and previous behavior predicted helping.

This manuscript contributes to the literature in a number of ways. First, it provides empirical evidence that individuals will suppress or ignore reciprocity norms during an interdependent task. This lends credence to the idea that social exchanges may need to be examined in light of other variables or at other levels of analysis. Second, it demonstrates that investment behaviors (i.e. helping) can and do occur in exchange relationships despite low reciprocity. Overall, the data suggest that individuals are willing to maintain relationships despite a lack of returns.

The purpose of this study is to investigate (1) how female blog users' perceived benefits (i.e. perceived usefulness, perceived enjoyment, community identification and perceived norm of reciprocity) influence their perceived social capital on fashion blogs, (2) the influence of structural social capital and cognitive social capital on users' relational social capital and (3) the influence of relational social capital on blog loyalty.

Structural equation modeling was performed using 530 useable data collected through an online survey.

The result indicated that perceived usefulness and the norm of reciprocity led to the development of cognitive social capital, while community identification and the norm of reciprocity led to the development of structural social capital. Cognitive and structural social capital both led to the development relational social capital, which in turn influenced blog loyalty.

This study provides insights for a fashion brand marketing strategy that uses fashion blogs to target relevant consumers. It helps firms to understand the factors that lead people to embed their resources in a blog and to learn how the different perceived benefits impact blog users' contributions to the community.

Marketers may proactively give customers personalized notices regarding their progress toward certain rewards as a means to stimulate ongoing behaviors. This paper aims to investigate the effect on customer repatronage intention by framed messages concerning either goal-distance or consequences of an action and it also seeks to identify important variables moderating those responses.

Five between-subjects experiments examined how participants’ repatronage intentions, in response to the framing of goal-distance (Study 1a) and consequences of an action (Study 2a), varied as a function of their level of progress toward goal completion and also tested if the framing effects might be attenuated when relationship benefit was high rather than low (Studies 1b and 2b). They further adopted perceived reciprocity as an underlying mechanism for examining the interplay between these two kinds of framing in stimulating ongoing behavior (Study 3).

Although messages which emphasized what individuals need to spend more to attain a reward (versus how short they are from earning a reward) or loss following inaction (versus gain following action) were likely to erode intention, such effects were confined to individuals with a moderate level of progress. This intention-eroding effect was further attenuated by attractive reward. The persuasive advantages of short-from-the-end framing of goal-distance over more-to-the-end counterparts were found to be diminished when paired with a loss-framed message concerning consequences of an action. Furthermore, the observed effects on intention were mediated by perceived reciprocity.

The studies add to the current understanding of how the way in which information is presented might enhance loyalty or fail to do so.

Using social capital theory as the theoretical framework, the purpose of this study is to examine if shared value, the norm of reciprocity and social bonding within a small fashion brand's Instagram page transfers to the overall perception and purchase intention toward the brand. Further, the authors test perceived benefit (i.e. perceived usefulness and perceived enjoyment) as anteceding variables along with the social capital variables. More specifically, this study investigates (1) the influence of shared value and norm of reciprocity on social bonding on the Instagram page, (2) the influence of perceived usefulness and perceived enjoyment on social bonding on the Instagram page, (3) the mediating effect of brand trust and brand identification on the relationship between social bonding and purchase intention and (4) and the moderating role of the generational cohort on the hypothesized relationships.

Through an online survey, 599 usable data were collected to test the proposed research framework using partial least squares structural equation modeling.

The results identify significant influences of shared value, norm of reciprocity and perceived enjoyment on social bonding. Brand identification and brand trust both have significant mediating effects between social bonding and purchase intention. Further, the results show that the mediating effect of brand trust is significantly higher for Generation Y, while the mediating effect of brand identification is significantly higher for Generation Z.

The study findings provide important implications for small fashion brands operating in a social media realm.

The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation of research ethics for data sharing are.

A research model for data sharing was developed based on the consequential theorists’ perspective of ethics. An online survey of 577 participants was administered, and the proposed research model was validated with a structural equation modeling technique.

The results show that egoism factors (perceived reputation, perceived risk, perceived effort), utilitarianism factors (perceived community benefit and perceived reciprocity) and norm of practice factors (perceived pressure by funding agency, perceived pressure by journal and norm of data sharing) all contribute to the formation of research ethics for data sharing.

This research employed the consequentialist perspective of ethics for its research model development, and the proposed research model nicely explained how egoism, utilitarianism and norm of practice factors influence biological scientists’ research ethics for data sharing, which eventually leads to their data sharing intentions.

This research provides important practical implications for examining scientists’ data sharing behaviors from the perspective of research ethics. This research suggests that scientists’ data sharing behaviors can be better facilitated by emphasizing their egoism, utilitarianism and normative factors involved in research ethics for data sharing.

The ethical perspectives in data sharing research has been under-studied; this research sheds light on biological scientists’ formation of research ethics for data sharing, which can be applied in promoting scientists’ data sharing behaviors across different disciplines.

With social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships.

Data from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses.

Higher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice.

Management tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment.

This research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.