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This study examines how customer loyalty among DiDi users in China is affected by two types of online social interaction (transactional and interpersonal) and how the online interaction–customer loyalty relationship is mediated by three kinds of perceived benefits (functional, social-hedonic and safety).

This study empirically examines research hypotheses based on a questionnaire survey of 428 DiDi consumers.

The results reveal that transactional interactions significantly enhance customer loyalty among DiDi users via the partial mediating effects of customers' perceived functional, social-hedonic and safety benefits. By contrast, interpersonal interactions do not directly influence customer loyalty, and only social-hedonic benefits fully mediate the positive influence of interpersonal interactions on loyalty.

This study contributes to the theoretical development of interactive marketing management by examining how two types of online social interactions contribute to customer loyalty on sharing economy platforms by influencing the perception of benefits. It also provides useful managerial insights to help ride-sharing platforms design online social interaction functions that improve customer perceptions and loyalty.

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

Researchers rarely present accounts of their awkward encounters in ethnographies. Awkwardness, however, does matter and affects the ethnographic accounts we write and our understanding of social situations. The purpose is to bring these hidden sides of organizational ethnography to the fore, to discuss the consequences of ignoring awkward encounters, and to improve our understanding of organizational realities.

This paper presents awkward ethnographic encounters in the field: encounters with evangelizing ethnic Chinese business people in Indonesia (Koning), and visiting an artist village in China (Ooi). Based on analysing their awkwardness, and in the context of a critical assessment of the reflexive turn in ethnography, the authors propose a more inclusive reflexivity. The paper ends with formulating several points supportive of reaching inclusive reflexivity.

By investigating awkward encounters, the authors show that these experiences have been left out for political (publishing culture in academia, unwritten rules of ethnography), as well as personal (feelings of failure, unwelcome self‐revelations) reasons, while there is much to discover from these encounters. Un‐paralyzing reflexivity means to include the awkward, the emotional, and admit the non‐rational aspects of our ethnographic experiences; such inclusive reflexivity is incredibly insightful.

Inclusive reflexivity not only allows room for the imperfectness of the researcher, but also enables a fuller and deeper representation of the groups and communities we aim to understand and, thus, will enhance the trustworthiness and quality of our ethnographic work.

Awkwardness is rarely acknowledged, not to mention discussed, in organizational ethnography.

This study explores the impact of brand's psychological contract violation on customers' spurious loyalty, via the mediating effects of customers' brand commitments (affective commitment, calculative commitment and normative commitment) and the moderating effects of justification for violation and nostalgia proneness in the link of psychological contract violation and three commitments.

Based on 427 valid responses collected from paper- and web-based survey questionnaires, a total of 21 hypotheses were tested by adopting a structural equation model, hierarchical regression technique and slope analyses.

The result indicates negative effects of psychological contract violation on customers' attitudinal loyalty and behavioral loyalty via affective commitment and normative commitment, as well as positive effects of psychological contract violation on customers' attitudinal loyalty and behavioral loyalty via calculative commitment. It explains the reason why some loyal customers show spurious loyalty after being psychological contract violated. Meanwhile, it also supports different moderating impacts of justification for violation and nostalgia proneness in these relationships.

This study underscores the importance of calculative commitment in mitigating the adverse effect of psychological contract violation on customers' loyalty. Also, managerial implications are put forward to prevent loyal customers from switching to a worse loyalty stage after being violated.

Extant literature holds contradictory views about the brand love’s moderation effect in the link between brand failure and consumer’s retaliation. This paper aims to first examine how failure severity correlates with negative emotions and how negative emotions lead to retaliation intention. Then, it probes into opposite moderation effects of brand love in these two stages. Further, it explores contingent factors, including perceived fairness, inferred goodwill, aggressive personality and brand trust, which may moderate “love is blind” effect or “love becomes hate” effect.

A questionnaire survey was conducted among the sample of 293 responses from Thailand, and 239 responses from China. A total of eight hypotheses were tested by adopting hierarchical regression technique and slope analyses.

The results show that consumers facing brand failure suffer negative emotions and then generate retaliation intention. Brand love positively moderates the link between failure severity and negative emotions, which is called “love becomes hate” effect. Meanwhile, brand love negatively moderates the link between negative emotions and retaliation intention, which is called “love is blind” effect. In addition, perceived fairness and inferred goodwill alleviate “love becomes hate” effect, and aggressive personality decreases “love is blind” effect.

This study makes contribution to brand failure literature by revealing twofold moderating roles of brand love in arousing retaliation behavior of consumers who encounter product/service failure, as well as contingent factors of these roles. Also, the research findings provide managerial implications to brand managers as to how to manage brand failure and reduce consumers’ retaliation by manipulating brand love and relevant contingent variables.

This study aims to combine two fraud-related streams of the literature on guanxi and overconfidence into an integrated framework, which is the fraud triangle, to interpret the mechanism of fraud commission and detection.

A bivariate probit model with Partial Observability (POBi Probit) is applied. Moreover, the POBi Probit model is adjusted to the Chinese context. The China-specific POBi Probit model is constructed using data of Chinese A-share listed companies from 2008 to 2014, with a total of 15,109 firm-year observations.

Overconfidence induces fraud commission and worsens fraud detection; overconfidence mediates the relationship between fraud and guanxi; the “white side” of guanxi comes from alumni networks, while the “dark side” is derived from relatives-based networks; overconfidence induces fraud commission in accounting and disclosure and benefits the detection of disclosure frauds. Guanxi suppresses fraud commission in management and disclosure, however, it worsens fraud detection given fraud in management and disclosure; overconfidence induces fraud commission in both state-owned enterprises (SOE) and non-SOEs, and benefits fraud detection in SOEs. Guanxi suppresses fraud commission and worsens fraud detection in SOEs and city-owned firms.

There are two drawbacks of the partial observable bivariate probit (POBi-Probit) method that must be mentioned here. On one hand, the ex ante variable selection is one of the most difficult parts of applying the POBi-Probit model and different variables are included in different studies. On the other hand, the POBi-Probit model might not converge if too many variables are included. Thus, many widely accepted factors can be included in the model. Thus, this study initially sets the POBi-Probit model based mainly on Khanna et al. (2015) and then adjusts the model for the Chinese context (e. g. considering government ownership) according to Yiu et al. (2018) and Zhang (2018) and the local study of Meng et al. (2019). Considering the observability of fraud, on one hand, the observability of fraud commission is a widely accepted limitation, especially when accounting opacity comes across with regulatory efficiency (Yiu et al. (2018). On the other hand, the observability of relationships is another obstacle to this study. Future studies can go further by revealing the presently unobservable relationships using Big Data technology.

This paper theoretically and practically contributes to the literature on both corporate fraud and corporate governance. Theoretically, by introducing integrated principal-agent resource-reliance theory (IPRT) and upper echelon theory (UET), this paper broadens the framework of fraud triangle theory (FTT) and testifies the availability of the broaden FTT in the transitional and emerging-market context of China. Practically, this paper provides evidence that guanxi and overconfidence are two of the factors affecting corporate fraud. Thus, this paper provides a governance approach opposing corporate fraud in China, which may help the other emerging economies in transition.

There is growing interest among marketers in advertising and promoting their brands by adopting an online celebrity endorsement strategy. However, how online celebrities build their own brand equity and how online celebrity brand equity impacts fans’ purchase behavior have not been extensively researched in the extant literature. This paper aims to explore the factors that contribute to online celebrity branding and improving fans’ purchase intentions.

A survey and an experiment were conducted among consumers from the mainland of China. A total of 12 hypotheses were proposed to exam how self-congruity and virtual interactivity impact online celebrity branding and to explore the moderating role of perceived quality and product type.

This paper reveals that customers’ perceived self-congruity with online celebrities’ image and virtual interactivity positively impact the brand equity of online celebrities. Additionally, compared with virtual interactivity, the effect of customer perceived self-congruity on a brand is more significant. The brand equity of online celebrities thereby drives followers’ purchase intentions and the perceived quality of products positively moderates this relationship.

The research conclusions provide managerial implications for marketing practitioners for how to use human brands on social media platforms in the web 2.0 era and ultimately enhance consumer purchase intentions.

Value appropriation and value creation are two sides of the same coin. How B2B seller’s value appropriation impacts customer relationship performance still remains an under-researched topic. This paper aims to probe into this question in the context of Chinese B2B markets.

This study identifies two kinds of value appropriation, namely, competitive and non-competitive and then examines their impacts upon customer relationship performance, as well as the moderating roles of distributive fairness and procedural fairness, based on questionnaire survey among 273 Chinese B2B firms.

The authors find that seller’s competitive value appropriation has negative impact upon customer relationship performance, and this link is positively moderated by customer-perceived distributive fairness. Besides, non-competitive value appropriation by the seller has significant and positive impact upon customer relationship performance, and this link is positively moderated by customer-perceived procedural fairness.

The paper contributes greatly to literature of value management and industrial buyer–seller relationship. Managerial implications are provided for B2B companies operating in Chinese market to tackle with the tradeoff between appropriating sufficient value and retaining harmonious relationship with customers.

The purpose of this paper is to identify most favorable (or quasi-preferred) industry characteristics of remanufacturing industry and most favorable (or quasi-preferred) industry factors which have an effect on these characteristics so as to improve these factors.

Grey system theory has prominent advantage of using few data and uncertainty information to analyze many factors. Therefore, it is more suited for system analysis than traditional statistical analysis methods like regression analysis, variance analysis and principal component analysis, which require massive data, certain probability distribution in the data and few variant factors. So in this paper, grey incidence analysis method, which is an important part of grey system theory, is used to identify industry characteristics and key industry factor of remanufacturing industry in China and then put forward appropriate industrial policies and countermeasures to improve these industry factors.

According to the results of this study, it reveals that there are no most favorable industry characteristics and no most favorable industry factors in remanufacturing industry of China. “Annual sale of remanufacturing industry” is identified as quasi-preferred industry characteristic, and “total number of employees with master degree or above in remanufacturing enterprise” is identified as the quasi-preferred industry factor. “Total building area of remanufacturing enterprise” is referred as the most unfavorable industry factors.

Judging from the findings of this study, four practical implications are summarized as follows: “annual sale of remanufacturing industry” should be given great importance because it is a quasi-preferred industry characteristic. “Total number of employees with master degree or above in remanufacturing enterprise” and “total number of research institution and university participated in remanufacturing” should be further strengthened by establishing an industry-university-research institute collaboration network, due to the fact that they are the top two quasi-preferred industry factors. “Total investment of remanufacturing industry” and “total annual R&D expenditures” have not played their due role in improving remanufacturing industry, so they should be moderately controlled so as to reduce waste of investment. “Total building area of remanufacturing enterprise” must be strictly controlled because of its little impact on remanufacturing industry.

In this research, grey incidence analysis is applied to identify key industry factors of remanufacturing industry for the first time. It helps in finding industry factors which are in urgent need of improvement and assists in making appropriate industrial policies and countermeasures to improve them by studying relationships between industry characteristic and industry factors.

Lead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC.

This work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer.

Results revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness.

This work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.