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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.

This paper aims to focus on collaborative consumption, that is, the peer-to-peer (P2P) exchange of goods and services facilitated by online platforms. Anchored in the access paradigm, collaborative consumption (e.g. accommodation rental and ridesharing services) differs from commercial services offered by firms (e.g. business-to-customer [B2C] carsharing). The aim of this study is to examine the nuanced styles of collaborative consumption in relation to market-mediated access practices and socially mediated sharing practices.

Following the general research trend on mobility services, the context of long-distance ridesharing is chosen. Data collection was conducted using participant observation as peer service provider, 11 ethnographic interviews of consumers and a netnographic study of digital artifacts.

Using practice theory, ten ridesharing activities were identified. These activities and the nuances in the procedures, understandings and engagements in the ridesharing practice led to the distinction of three styles of collaborative consumption: communal collaborative consumption, which is when participants seek pro-social relationships in belonging to a community; consumerist collaborative consumption, performed by participants who seek status and convenience in the access lifestyle; and opportunistic collaborative consumption, when participants seek to achieve monetary gain or personal benefits from abusive activities.

By taking a phenomenological approach on collaborative consumption, this study adds to the understanding of the sharing economy as embedded in both a utilitarian/commercial economic system and a non-market/communal social system. The three styles of collaborative consumption propose a framework for future studies differentiating P2P exchanges from other practices (i.e. B2C access-based services and sharing).

In recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers.

To address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics.

Spatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported.

These results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods.

The study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.

The purpose of this paper is to explore and expand the concept of a marketing system for developing a more dynamic and nuanced understanding of marketing. The purpose of the proposed framework is to extend this literature by making salient and explicit how context, market system and value creation are theoretically interrelated. To accomplish this objective, the authors use the framework proposed by Layton (2019) as the theoretical foundation to acquire insights into the market. Particularly, they investigate how four distinct marketing systems (i.e. anarchy, structured, emergent and purposeful market systems) operate in a developing economy. In addition, the study explores the market's effects of technological advancement, sociocultural influences, historical background and political institutions, as well as the responses of political entities, firms and consumers. Also, the positive and negative effects of the various marketing systems are analyzed. Finally, the authors investigate the changing marketplace in various industrial sectors (e.g. home appliances, food, apparel/fashion and transportation) to provide marketing researchers and practitioners with insights. In essence, the study focuses on the sectors related to everyday consumption.

This analysis uses a theoretical approach to extend the understanding concept of marketing. To examine the numerous market systems in India, the authors use an approach developed by Layton (2007). This theoretical approach is intended to sensitize scholars to critical processes rather than a hypothetico-deductive analysis with a prediction goal (Turner, 1986). Epistemologically, this analysis can be classified as a form of discovery-oriented theory development (Wells, 1993).

Although all four systems (e.g. autarchic, emergent, purposeful and structured) are ingrained in India, their functionality differs from the Western system and among industries. For example, the apparel sector appears more autarchic, but the food industry is more purposeful. How the home appliance market operates demonstrates the transition from an autarchic to an emergent system. The authors also uncover additional environmental factors that impact the four types of marketing systems and moderator roles of governate agencies and nonprofit organizations. The externality and positive outcomes also emerged throughout the analysis.

This study articulates the four types of marketing systems and illustrates the environmental factors/antecedents and outcomes for the exchange and value creation. Most importantly, it adds value to the literature by emphasizing the role of government agencies and unrestricted institutions in the mechanism. It also uncovers cultural elements such as spirituality as a catalyst for exchange and value creation.

The analysis provides practitioners with insights into operating the firm in India by articulating the industrial differentiations and the exchange/value creation. Specifically, it provides a blueprint for strategic analysis that can be used prior to market entry to increase the likelihood of market entry success by understanding the nuanced differences that lead to significant operational difficulties if not properly prepared for and managed.

This study adds to our existing knowledge of marketing from a systemic standpoint. It also broadens and explicates marketing system theory by assessing the uniqueness of developing markets.

Bridging noted gaps in the sharing economy and corporate social responsibility (CSR) literatures, the purpose of this paper is to investigate how an organization-sponsored sharing platform – a new class of information technology (IT) and the sharing economy ideal – is given meaning as a CSR program for internal stakeholders.

The research involves phone interviews conducted with site coordinators of the Zimride by Enterprise® ridesharing platform in 25 organizations.

This case study reveals that two component processes of organizational sensemaking – sensegiving and sensebreaking – are underlying micromechanisms used by organizations to enact a sponsored sharing platform as a CSR program. Qualitative analyses demonstrate that every meaning given to Zimride remained open to sensebreaking during its implementation. As such, site coordinators were continuously drawn into sensemaking about Zimride’s cognitive, linguistic and conative dimensions as a CSR program and had to exert ongoing effort to stabilize its socially (re)constructed meaning within their organization. Furthermore, site coordinators’ sensegiving narrative about Zimride was often undermined by their sensebreaking communications and organizational actions, albeit unintentionally.

Sponsoring a sharing platform to facilitate collaborative consumption can deliver triple bottom line benefits for both organizations and their members, but it may not. The key to accruing this potential shared value lies is how site coordinators navigate organizational sensemaking about these IT-enabled CSR programs.

This paper provides valuable insights into these sensemaking processes and develops a prescriptive framework for enacting an organization-sponsored sharing platform as a CSR program.

The study aims to empirically test the effects of antecedents on behavioral intentions towards Uber-ridesharing services. The antecedents are perceived value (hedonic, utilitarian, epistemic, and symbolic value), e-Attitude, and technology attachment (smartphone use, Internet use, and e-Involvement). Moreover, the study explores the mediating effect of three-dimensional perceived value (hedonic, utilitarian, and epistemic value) and e-Attitude; and the moderating effect of symbolic value on behavioral intentions towards Uber-ridesharing services.

A mixed survey (75% Google Form, 25% face to face) was conducted in Bangladesh to collect data from customers who had previously participated in Uber-ridesharing services, one of the largest ridesharing platforms in Bangladesh. Subsequently, data were analyzed based on the structural equation modeling technique using SmartPLS 3.3.3.

The study findings revealed that hedonic value, utilitarian value, epistemic value, symbolic value, e-Attitude, smartphone use, internet use, e-Involvement had a direct significant positive impact on behavioral intentions. Also, e-Attitude significantly impacted hedonic, utilitarian, and epistemic value. In addition, Smartphone use, internet use, and e-Involvement significantly influenced e-Attitude. Moreover, the study findings revealed that hedonic, utilitarian, and epistemic value partially mediates between e-Attitude and behavioral intentions; and e-Attitude partially mediates between Smartphone use, Internet use, and e-Involvement and hedonic, utilitarian, and epistemic value and behavioral intentions. Furthermore, the results indicate that epistemic value significantly moderates the relationship between hedonic, utilitarian, and epistemic value and behavioral intentions.

This study uncovers some insightful findings for ridesharing services providers and managers helping to build customers' positive behavioral intentions towards Uber-ridesharing services. In particular, practitioners can improve cost-efficiency, hedonic and symbolic aspects, availability of rides of Uber-ridesharing services. Moreover, the ridesharing services managers should adopt technology-based service opportunities.

The study enriches sharing economy literature, especially ridesharing services, exploring the direct effect of epistemic value, e-Attitude, smartphone use, Internet use, and e-Involvement on behavioral intentions. Moreover, this study presents smartphone use, Internet use, and e-Involvement as new antecedents of e-Attitude and behavioral intentions. Furthermore, the study explores the mediating effect of hedonic, utilitarian, and epistemic value and e-Attitude; and the moderating effect of symbolic value in Uber-ridesharing service perspective.

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 analyze competitive strategies implemented by two Iranian taxi service mobile apps – Snapp and Tap30 – in different domains by using the modified version of the generic strategies proposed by Porter and focusing on the online taxi market.

Due to the in-depth nature of competitive strategies in ridesharing platforms, the study employs comparative case research to understand the dynamics of such businesses in terms of developing mobile applications. By comparatively investigating competitive strategies of two Iranian mobile apps in ridesharing business, it is possible to extract rich knowledge about the commonalities between cases and the specificities of each of them to reach success in this market.

Although Snapp has made significant efforts to provide various services to passengers, the findings show that it has not been able to do it intelligently, as it has failed to identify customers’ new needs. In addition, Snapp is trying to keep its position in the Iranian market by monopolizing it. On the contrary, Tap30 has paid attention to the intelligence of services in order to explore and exploit new opportunities, so that it can be distinguished from its rival and gain competitive advantage. The proper and timely use of artificial intelligence by these apps will be a major issue that will greatly determine their future success on the market, according to the conclusion of this work.

Like other qualitative researches, this study also has limitations in generalizing findings to other communities. For this purpose, it is recommended that the results of this study be generalized more cautiously. Moreover, access to some data in the digital market of Iran was one of the significant issues that researchers faced with. However, using a large number of different databases, attempts were made to reduce such limitations.

Applying the competitive strategies introduced in the present research, platform managers would be benefited from using the insights provided here. In particular, they should understand the fact that competitive advantages are deeply tied to a combination of product/service differentiation, costs leadership and marketing strategies rather than focusing on just one dimension.

Focusing on the strategy literature, the paper contributes to business debates on ridesharing platforms, especially in an emerging market, Iran. This study also moves digital entrepreneurship literature forward in online taxi services by shedding light on their competitive strategies in an emerging economy.

The primary goal of this study is to determine the predictors of on-demand ridesharing intention in an emerging economy. For this purpose, the study uses the theoretical underpinnings of the theory of planned behavior (TPB).

The study surveyed 347 frequent users of ridesharing services using a set of pre-validated scales. The resulting data were analyzed using covariance-based structural equation modeling (CB-SEM).

The results of SEM analysis disclosed that the significant factors contributing to ridesharing intention are awareness of environmental consequences, subjective norm, perceived behavioral control and attitude (towards ridesharing).

This empirical research provides statistically robust insights for developing marketing strategies that attract more individuals toward ridesharing services.

This research has remarkable significance as it is one of the pioneering studies that critically examine the determinants of ridesharing intention from a South Asian emerging economy. Further, the extended TPB framework proposed in this study explains 71.4% variance in ridesharing intention, which is significantly higher than existing studies, with none of them explaining more than 70% variance.

This study aims to identify the influence of perceived corporate social responsibility (PCSR) on consumer brand commitment in ridesharing services.

PCSR is a second-order construct reflecting three dimensions – economic, environment and ethics. A total of 423 useable responses were collected through an online survey. To test the hypotheses, structural equation modelling was used via AMOS 22.0.

Findings reveal that PCSR has a significant influence on consumer brand trust and brand identification. However, no direct relationship is observed between PCSR and brand commitment. The effect of PCSR and brand commitment is significantly mediated by brand trust and brand identification.

The investment of resources in corporate social responsibility (CSR) activities has many advantages because it increases trust and identification towards the brand. Ridesharing business firms are growing in size, so they should harness CSR activities by investing money into them that benefits society.

Sharing economy services have the potential to assist the global and local economy towards environmental friendliness. Yet, there is a lack of research on how the sharing economy model works the social responsibility aspects of the model and its impact on consumer response. This study assesses the dimensions of PCSR and its influence on brand commitment via a brand trust and brand identification towards ridesharing services.