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This study explores how sharing platforms achieve platform loyalty through various operation management strategies.

A multiple case study method has been conducted in two Chinese sharing economy industries: ride- and bike-sharing. Data were collected through 30 semi-structured interviews with managers from four platform companies (DiDi, Uber China, ofo and Mobike). Individual case studies were developed from the triangulation of all existing data. Concurrent with the development of these individual case studies was a cross-case analysis. Emerging patterns have been identified and compared to previous findings in the literature to build upon and modify the existing knowledge base and to formulate a series of propositions.

Platform asset characteristics and mergers and acquisitions affect supply network readiness and operational capacity, respectively, and this effect would consequently contribute to achieving platform loyalty through user satisfaction. Moreover, externality, as a moderator, may influence the strength of the relationship between satisfaction and platform loyalty.

The proposed theoretical model provides an overarching framework for sharing platform companies to design and operate their businesses while carefully examining the situations, contexts and actions of users and other stakeholders and choosing an appropriate strategic mechanism to drive platform growth.

This study is one of the first to empirically explain how firms in a sharing economy sector could gain platform loyalty by adopting an expectation–confirmation theory perspective.

The purpose of this paper is to explore all the strategies adopted by Uber China to gain more and more market shares of Chinese markets. It included localization of its core product, adaptation to Chinese demands and tying up with different Chinese companies.

The case study has been prepared after thoroughly studying Uber’s business in China. Secondary data is collected from credible sources such as the Uber website, newspapers, interviews and journal publications. This data helped in arriving at a basic understanding of the company, its objectives, strategies and the business model. The strategies formulated by Uber and the challenges it faced while operating in China are studied and explained based on this secondary data. Various published papers, reports released by reputed organizations and universities, interviews of managers and experts and research papers were also used to develop this case.

This case is developed considering the bent of today’s consumers toward sharing economy. The scope of businesses based on the concept of sharing economy is very wide and is increasing. China’s sharing economy sector was one of the fastest economies in the world. The case chronicles ride of Uber in China: from its entry in the country, strategies adopted, challenges faced and to the exit from China.

International business management at the undergraduate and postgraduate programs in management

In China, with the rapid dissemination of mobile communications technology along with congested traffic and increasingly expensive transportation costs, consumers are turning to smartphone-enabled, ride-sharing services. Sharing economy requires trust in strangers. Based on trust transfer theory and a dyadic conceptualization of trust from cognitive to affective, the purpose of this study is to examine trust building through the use of Didi, a third-party, ride-sharing platform that mediates exchanges among strangers.

Structural equation modeling (SEM) results based on 242 observations indicate that the platform functions as an important enabler of trust, which influences a consumer's behavioral intention.

Specifically, Didi's reputation and security assurance have a positive influence on passengers' cognitive trust in drivers. There is also evidence that the interaction as mediated by the app between passengers and drivers helps the formation of affective trust, while the results do not support a relationship between cognitive and affective trust.

The research findings address trust transference between participants in the sharing economy and its effects, which have significant theoretical and practical implications and offer opportunities for future research in other sectors of the sharing economy.

Many newly established Internet loss-making enterprises (NEILEs) are always willing to expand overseas within a very short time from their establishment. This phenomenon is becoming a hot research area. This paper aims to explore why these enterprises are always willing to expand overseas rapidly even if they are facing severe and persistent losses, and to study the different rapid internationalization modes and the international market entry ways for NEILEs.

This paper constructs a theoretical framework with the dual situation of negative attainment discrepancy and advantageous slack resources to explain the rapid internationalization of NEILEs. Furthermore, cross-case comparative analysis method, based on interviews, questionnaires and secondary data collection, is adopted to reveal the rapid internationalization modes and the international market entry ways of such enterprises.

Whether blocking competitors or seeking opportunities or both, NEILEs' goal of rapid internationalization depends on the severity and persistence of negative attainment discrepancy. When the severity and persistence of negative attainment discrepancy are very significant, moderate and mild, NEILEs choose sniper-type, opportunity-type and dual-type internationalization target mode in turn; it is very important for NEILEs to match advantageous slack resources and international market entry ways to achieve specific internationalization goals.

This paper enriches the understanding of NEILEs' transnational entrepreneurial behavior in the era of digital economy. The theoretical contribution of this paper is that the authors build a theoretical framework based on the logical starting point, the logical fulcrum and the logic ending point for understanding the rapid internationalization of NEILEs.

This study demonstrates that NEILEs can also expand into foreign markets according to their own characteristics. Undoubtedly, they need to choose appropriate internationalization target mode and international market entry way in line with the extent and duration of their losses, and their advantageous slack resources.

In this paper, the authors construct the rapid internationalization theory of NEILEs based on the dual situation of negative attainment discrepancy and advantageous slack resources in digital economy era. Moreover, the authors discover the behavioral characteristics and patterns of NEILEs' transnational entrepreneurship.

Drawing upon institution-based trust theory, the purpose of this paper is twofold: firstly, to examine the joint influences of legally binding and market-driven institutional mechanisms in promoting customers’ trust and continuance intention in the ridesharing platform; and secondly, to examine if there exists a trust transfer mechanism between institution-based trust and interpersonal trust.

An online survey was conducted in China and data were collected from 307 customers in DiDi, which is one of the largest ridesharing platforms in China. Structural equation modeling statistical method was used to test the theoretical model and research hypotheses.

The empirical results suggest that market-driven institutional mechanisms, regarding feedback and surge pricing, have strong influences on customers’ trust in the ridesharing platform. In addition, legally binding institutional mechanisms, regarding payment security and driver certification, are also beneficial to promote customers’ trust. Furthermore, there is a trust transfer between customers’ trust in the platform and trust in the driver.

This study provides guidelines to the administrators of the ridesharing platform to establish effective institutional mechanisms. In particular, the platform can appropriately adopt and implement the legally binding mechanisms combined with market-driven mechanisms on the platform, in order to enhance customers’ trust and promote their subsequent transaction behaviors.

This study enriches and extends the extant literature of institution-based trust from e-commerce to the sharing economy by identifying four significant institutional mechanisms. Furthermore, this study presents a new perspective of customer trust (one-to-many) in the context of ridesharing and uncovers the transfer mechanism between institution-based trust and interpersonal trust.

The tech giants Alibaba and Tencent compete on many fronts. This case focuses on three areas where they have competed very hard: new retailing, mobile payment, and ride-hailing. At the beginning of 2018, Alibaba and Tencent were gathering retail investments in bids to battle each other for shoppers' digital wallets. Key to the battle is China's mobile payment market, worth more than 200 trillion RMB, where Alibaba and Tencent are going head to head. The giants are not only directly competing in the payment platform area but also extensively fighting in other areas, such as ride-hailing, where they invested in and supported Didi and Kuaidi, respectively. To enhance understanding, this case also briefly goes through the history of the two giants. The purposes, methods, and consequences of their platform competition deserve an in-depth discussion

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.