Abstract
PurposeThe purpose of this paper is to examine peer-to-peer sharing platform business models, their sources of competitive advantage, and the roles, motivations and behaviors of key actors in their ecosystems.Design/methodology/approachThis paper uses a conceptual approach that is rooted in the service, tourism and hospitality, and strategy literature.FindingsFirst, this paper defines key types of platform business models in the sharing economy anddescribes their characteristics. In particular, the authors propose the differentiation between sharing platforms of capacity-constrained vs capacity-unconstrained assets and advance five core properties of the former. Second, the authors contrast platform business models with their pipeline business model counterparts to understand the fundamental differences between them. One important conclusion is that platforms cater to vastly more heterogeneous assets and consumer needs and, therefore, require liquidity and analytics for high-quality matching. Third, the authors examine the competitive position of platforms and conclude that their widely taken “winner takes it all” assumption is not valid. Primary network effects are less important once a critical level of liquidity has been reached and may even turn negative if increased listings raise friction in the form of search costs. Once a critical level of liquidity has been reached, a platform’s competitive position depends on stakeholder trust and service provider and user loyalty. Fourth, the authors integrate and synthesize the literature on key platform stakeholders of platform businesses (i.e. users, service providers, and regulators) and their roles and motivations. Finally, directions for further research are advanced.Practical implicationsThis paper helps platform owners, service providers and users understand better the implications of sharing platform business models and how to position themselves in such ecosystems.Originality/valueThis paper integrates the extant literature on sharing platforms, takes a novel approach in delineating their key properties and dimensions, and provides insights into the evolving and dynamic forms of sharing platforms including converging business models.
Highlights
The growth of platform businesses has been fueled by the internet and mobile technologies, and rapid advances in analytics, artificial intelligence (AI) and Big Data together with changing consumer preferences and consumption patterns
Evidence is gathering that the sharing economy and platform business models are significantly changing ecosystems, markets and consumption patterns (Caldieraro et al, 2018; Lamberton and Rose, 2012; Zervas et al, 2017)
We focus on peer-to-peer sharing economy platform business models that match capacity-constrained assets and resources with consumer demand for the Social media platforms (e.g. Facebook, LinkedIn and Twitter)
Summary
The growth of platform businesses has been fueled by the internet and mobile technologies, and rapid advances in analytics, artificial intelligence (AI) and Big Data together with changing consumer preferences and consumption patterns. Often, sharing economy business models facilitate people to transact directly with one another by connecting individuals in unprecedented ways (Caldieraro et al, 2018). These developments have resulted in an explosive growth of the peer-to-peer economy. Platform businesses emerged as a viable alternative to fulfilling a range of customer needs, including transportation, accommodation, meals, and even investments and personal loans They include Airbnb, HomeAway, XiaoZhu and onefinestay that are embraced by travelers ranging from budget-conscious students and families to luxury consumers and even business travelers. Evidence is gathering that the sharing economy and platform business models are significantly changing ecosystems, markets and consumption patterns (Caldieraro et al, 2018; Lamberton and Rose, 2012; Zervas et al, 2017)
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