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The primary aim of this article is to develop an understanding that resolves and integrates the conflicting findings with regard to the effects of platform-owner entry on the innovation of individual complementors.

Drawing on the platform ecosystem literature and the profiting from innovation (PFI) framework, this study presents a conceptual model that articulates how developers' marketing capabilities and the size of platform's installed base are two key moderators that explain the conflicting results between platform-owner entry and complementor innovations.

This article theorizes that platform owners' entry stimulates developers' innovations when the size of platform's installed base is large or when developers' marketing capabilities are strong while the entry can discourage innovations otherwise.

By proposing the conceptual model, this article makes important theoretical contributions to the rising literature on platform governance and complementor innovations. It lays a foundation for future research exploring the implications of platform-owner entry.

The sharing economy has enjoyed rapid growth in recent years, and entered many traditional industries such as accommodation, transportation and lending. Although researchers in information systems and marketing have attempted to examine the impacts of the sharing economy on traditional businesses, they have not yet studied the rental housing market. Thus, this research aims to investigate the impact of the sharing economy (i.e. home-sharing) on traditional businesses (i.e. rental housing market).

The authors assemble rich data from multiple sources about the entry of a leading Chinese home-sharing platform (i.e. Xiaozhu.com) and local housing rental price index. Then, econometric models (i.e. linear panel-level data models) are employed for empirical investigation. Instrumental variables are used to account for potential endogeneity issues. Various robustness checks are adopted to establish the consistency of the findings.

Overall, the estimation results show that the entry of a home-sharing platform will decrease the local housing rental price. Moreover, this impact would be strengthened in a more developed city. Additionally, this impact would be strengthened with higher prices of new houses or second-hand houses.

First, this research is one of the first to study the impact of the sharing economy (i.e. home-sharing) on traditional markets (i.e. housing rentals). Second, it contributes to the relevant literature by documenting that the impact of a platform's entry is not uniform but contingent on city and housing market characteristics. Third, practically, the findings also offer important implications for platform operators and policy makers.

The study aims to analyze factors impacting firms’ success and persistence in a digital platform competition using the structure-conduct-performance (SCP) framework. The study also includes real-life cases that are beneficial to academicians and practitioners to understand and develop strategies for success and persistence during uncertainty.

A literature review to identify the factors that impact success and persistence in a digital platform competition was conducted following Webster and Watson (2002). Findings were integrated into a SCP framework to examine and understand the identified factors’ relational impact.

While analyzing factors under the SCP framework, all factors were divided into three categories: those impacting positively, those impacting negatively and those with ambiguous impact on the success and persistence in digital platform competition. Digital platform firms can exploit the positively impacting factors to increase market share by being distinctive from other digital platform firms and becoming dominant by withstanding competition. On the other hand, negatively impacting factors increase barriers to entry, intensify competition and reduce the distinctiveness of digital platform firms. Lastly, a few factors may have either a positive or a negative impact depending upon the particular characteristics of the firm/industry.

The study opens the scope for future research on empirically testing the developed conceptual framework and relationships by developing propositions to posit the possible impact of these factors on digital platforms’ success and persistence.

The study contributed to the existing literature by using SCP framework to analyze the factors affecting firm’s success and persistence in a digital platform competition. Also, the study has discussed the relational impact of factors rather than their impact in isolation.

This paper studies the interactive valuation discourses of an online user community (transfermarkt.de) that seeks to determine market values for soccer players. Despite their seemingly casual nature, these values have featured in newspapers, transfer negotiations, academic research, and capital market communication – and have thus become reified.

The paper employs netnographic research methodology to collect and thematically analyze a wide range of user entries on the platform. These entries are studied using theoretical insights from the sociology of quantification and valuation.

The analysis reveals how values are constructed in constant interaction between value-proposing users and value-justifying “experts.” This dynamic form of relational valuation positions players relative to one another as well as to actual transactions on the transfer market. In the absence of authoritative guidelines, it is this possibility and affordance for interaction that enacts a coherent valuation regime. The paper further reveals the platform's response to a disruptive event, which risked bringing the user-expert dynamics to a halt, requiring intervention from the platform to repair its valuation frame.

The paper responds to increased scholarly interests in the valuation of professional athletes. It contributes to the extant literature on valuation, first, by analyzing the dynamic valuation work that feeds into the social construction of values and, second, by studying platform participation and user interaction in a socially engineered online space.

The purpose of this paper is to study the cooperation and pricing strategies for e-commerce platforms when considering seller classification.

E-commerce platforms serve to facilitate trade and generate revenue from the participants. By classifying the sellers in the market into two types (the individual sellers vs the professional sellers), the authors examine how the interaction between the two types of sellers affects the platform’s cooperation and pricing decisions. Specifically, the authors compare two cooperation strategies for the platform: cooperating only with the professional sellers (strategy I); and cooperating with both the two types of sellers (strategy II).

When the platform attractiveness for the professional sellers is high enough, strategy II is absolutely beneficial than strategy I; whereas when the platform attractiveness for the professional sellers is low and the performance requirement of the individual sellers is relatively high, strategy I will be more beneficial.

For a platform choosing strategy II, it should make effort to differentiate between the different types of sellers by the product or service quality.

The paper is among the first to study the cooperation and pricing strategies for the e-commerce platform with seller classification.

For an entrant platform in the on-demand service market, choosing an appropriate employment model is critical. This study explores how the entrant optimally chooses the employment model to achieve better performance and investigates the optimal pricing strategies and wage schemes for both incumbent and entrant platforms.

Based on the Hotelling model, the authors develop a game-theoretic framework to study the incumbent's and entrant's optimal service prices and wage schemes. Moreover, the authors determine the entrant's optimal employment model by comparing the entrant's optimal profits under different market configurations and analytically analyze the impacts of some critical factors on the platforms' decision-making.

This study reveals that the impacts of the unit misfit cost of suppliers or consumers on the pricing strategies and wage schemes vary with different operational efficiencies of platforms. Only when both the service efficiency of contractors and the basic employee benefits are low, entrants should adopt the employee model. Moreover, a lower unit misfit cost of suppliers or consumers makes entrants more likely to choose the contractor model. However, the service efficiency of contractors has nonmonotonic effects on the entrant's decision.

This study focuses on an entrant's decision on the optimal employment model in an on-demand service market, considering the competition between entrants and incumbents on both the supplier and consumer sides, which has not been investigated in the prior literature.

The purpose of this paper is to consider competition’s issues between European market firms, such as Euronext, and multilateral trading facilities, following Markets in Financial Instruments Directive’s enforcement. This new domestic competition is adding to the existing international competition among financial centers. While diversification of local trading services can improve the international competitiveness of a financial center, the fragmentation of order flows can harm its attractiveness.

The theoretical setting analyzes the interaction between heterogeneous who experiment network externalities, and heterogeneous local trading services providers (alternative platforms and incumbent) in an international context. The authors compare two forms of organizations of the market: a consolidated market, and a fragmented market with alternative platforms – in both cases, in competition with a foreign universe.

The results of this study point out the importance of the trade-off between diversification and externalities. With alternative platforms entry, enhanced competition decreases fees and redistributes informed investors between the foreign market and the domestic one. The increase of domestic platforms’ number then has more complex effects on externalities (of information and liquidity). When the liquidity externalities are low, the diversification of financial platforms increases the number of investors on domestic centers. When liquidity externalities are not negligible, despite the decrease of fees, this same diversification orientates more informed investors to the foreign center.

This model is the first to analyze jointly the internal and international competition of trading platforms with heterogeneous investors.

The purpose of this study is to explore the coopetition relationships between platform owners and complementors in complementary product markets. Drawing on the coopetition theory, the authors examined the evolutionary trends of the coopetition relationships between platform owners and complementors and explore the main influence factors.

The authors used Lotka–Volterra model to analyze the coopetition relationship between platform owners and complementors, including the evolutionary trends as well as the results. Considering the feasibility of sample data collection, simulation is used to verify the effects of different factors on the evolution of coopetition relationships.

The results show that there are four possible results of the competition in the complementary products market. That comprises “winner-take-all for platform owners,” “winner-take-all for complementors,” “stable competitive coexistence” and “unstable competitive coexistence,” where “stable competitive coexistence” is the optimal evolutionary state. Moreover, the results of competitive evolution are determined by innovation subjects’ interaction parameters. However, the natural growth rate, the initial market benefits of the two innovators and the overall benefits of the complementary product markets influence the time to reach a steady state.

The study provides new insights into the entry of platform owners into complementary markets, and the findings highlight the fact that in complementary product markets, platform owners and complementors should seek “competitive coexistence” rather than “winner-takes-all.” Moreover, the authors also enrich the coopetition theory by revealing the core factors that influence the evolution of coopetition relationships, which further enhance the analysis of the evolutionary process of coopetition relationships.

How can a digital platform provider successfully secure users in its early stage to build an ecosystem? The purpose of this paper is to explore this issue through a case study on the deployment of the digital platform service RecordFarm and identifies the reasons behind its successful market access, overcoming the chronic chicken-egg problem in a two-sided market.

The study empirically analyses the core user groups’ diffusion and usage rates by using a susceptible-infectious-recovery model of an epidemic based on a user survey and extensive archival data from the RecordFarm database.

The study identifies two important early stage characteristics for a business platform to be successful: the core users’ activities on the platform are a critical element for the network’s expansion and usage, and user relationships are more important than user contents on the digital platform.

This study confirms that organic interactions through active behaviours, such as visit frequency, uploading contents, and comment activities, are core elements for a successful digital platform to settle in the market early in the face of the difficulties of a two-sided market.

The purpose of this paper is to systematically review the platform literature and synthesize the various topics of research into a common framework to reveal the relations between platform-based service innovation, system design and other platform-related factors.

A quantitative descriptive analysis led to an overview of the distribution of research focuses of the 187 sample articles identified by a well-established search strategy. A qualitative in-depth review was then used to clarify the detailed research topics and generate an overall conceptual model to link them, with a focus on platform-based service innovation and system design.

In total, 11 research topics of three research perspectives were identified and linked by a framework that accounts for the relationships between platform-based service innovation and system design and their influences on platform evolution. A small panel of industry experts validated the accuracy and utility of the proposed framework.

This paper provides an integrated framework for separately developed research perspectives and the topics investigated in the platform literature. Through the proposed framework, this paper helps to improve the knowledge on platform study and management, and lays a foundation for exploring the research opportunities in platform-based service innovation and system design.