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This paper aims to investigate the multihoming behavior of users on social networking web sites in the absence or the presence of product differentiation.

The approach is to build a theoretical model to explain the multihoming behavior of users on social networking web sites.

Under multihoming without product differentiation, all members of the smaller network multihome to the bigger network and the social networking web site with the bigger network size benefits from multihoming. Under multihoming with product differentiation, when the smaller network differentiates its product from the bigger network, then all members of the bigger network will multihome to the smaller network. Welfare is higher for both sided multihoming and both sided multihoming will happen only when the social networking web sites are differentiated in terms of features.

The model is a theoretical model and will need to be tested empirically.

The results of the model indicate that multihoming results in increased utility for the users of social networking web sites when the two web sites are differentiated in terms of features.

From the literature available in the public domain, the paper has not found any existing theoretical model to explain multihoming behavior of users on social networking web sites. The paper fulfils this objective.

Omnichannel has become increasingly important with the development of e-commerce. In omnichannel, merchants expect customers to get the products and services at anytime, anywhere and in any way, and the same is true for customers. This drives multihoming in online platforms for both merchants and customers. Thus, once both customers and merchants are multihomed, what price and subsidy decisions should be made between platforms to compete to obtain optimal profits? The main purpose of this paper is to solve these problems and provide decision-making for two-sided platforms in omnichannel.

This study builds a dual Hotelling model to capture the utility and network effects of customers and merchants on two-sided platforms. This study introduces the exposure effect and convenience effect of multihomed customers and merchants in the model and analyzes the impact of these effects in the market with multihoming on one side. Then, this study extends the model to the market with multihoming on both sides and makes the pricing decision for two-sided platform when considering the exposure effect and convenience effect through an equilibrium solution. Finally, this study also uses numerical analysis to simulate the decision and profit of the platform.

This paper finds that the convenience effect will only increase social welfare when customers are single-homed and merchants are multihomed. In addition, when both users are multihomed, the platform will subsidize to attract merchants and customers if the convenience effect and exposure effect are relatively high. This study also finds that network effects come not only from the same platform but also from another platform in the case with multihoming on both sides. And network effects in the heterogeneous platform will be reduced by the convenience effect and exposure effect.

According to the behavioral characteristics of merchants and customers in omnichannel, this paper first adopts the dual Hotelling model to study the pricing of two-sided platforms with multihoming on both sides. This paper shows that network effects originate not only from the same platform but also from another platform and that the exposure effect and the convenience effect can exist as cross-platform network effects, which provides a new explanation for network effects in markets with multihoming on both sides. This research extends the theory of network effects and plays an important role in the development of two-sided platforms in omnichannel.

This study takes the cinema industry as the research context and investigates the impact of online to offline (O2O) platforms on cinemas' performance. Specifically, the purposes of this paper are threefold: first, to study the influence of platform multihoming on cinemas' performance; second, to examine the interaction impact of platform multihoming and vertical integration; third, to investigate how the influence of platform multihoming varies with cinemas' performance.

This study collects data from 1918 cinemas in China, employs quantile regressions to estimate the model and test the proposed hypotheses and adopts an instrumental variable method to examine the robustness of our results.

The findings confirm the positive role of platform multihoming for cinemas' performance. However, when a cinema has low-degree platform multihoming, the cinema's vertical integration is positively associated with its performance; when a cinema has high-degree platform multihoming, the cinema's vertical integration is negatively associated with its performance. Furthermore, results from quantile regressions indicate that low-performance cinemas benefit more than high-performance cinemas from employing platform multihoming strategy.

This paper extends previous research by investigating the impact of platform multihoming on heterogeneous firms and the impact of interaction between platform multihoming and vertical integration. The findings imply that the impact of platform multihoming on firms' performance depends on firms' performance attributes and their vertical relationships.

Platform multihoming can be a double-edged sword for local service firms. When multihoming platforms, a local service firm should think about the fit between platforms and its own attributes, and identify the potential conflict between platform relationships and traditional relationships of industrial organization.

There is a growing interest in understanding platforms' role in the digital economy. The impact of platform participation on local service firms' performance is not sufficiently investigated. Previous research rarely addressed the impact by incorporating local service firms' performance attributes and the existing relationships of industrial organization.

Small-to-medium-sized enterprises (SMEs) in e-commerce often invest in information technology (IT) to stay competitive. However, whether and how IT capability (ITC) translates into financial performance requires further research. This paper examines the role of ITC in enabling value proposition innovation (VPI) as an important mechanism that improves financial performance for Chinese e-commerce SMEs during the COVID-19 pandemic. We argue that ITC is critical for enabling innovation because it elevates SMEs’ understanding of changing customer needs, especially when SMEs operate on multiple e-commerce platforms (multihome).

We used partial least squares structural equation modeling (PLS-SEM) and tested the hypotheses that ITC mediated by VPI and moderated by multihoming increases the financial performance of e-commerce SMEs through a survey among 206 Chinese SMEs operating on Taobao.

We find that not only higher levels of ITC lead to better financial performance, but also that the effect is fully mediated by VPI. Moreover, the effect of ITC on innovation is enhanced when vendors operate on multiple platforms.

The study identifies VPI as an important mechanism through which SMEs can leverage their ITC to adapt, innovate and thrive in competition. Our work suggests that using technology to develop innovative ideas and identify opportunities (which are reflected in VPI) is key to success and that doing so is more likely when vendors multihome. Thus, this study contributes to the innovation literature by explicating a concrete link between ITC, multihoming, VPI and increased financial performance. Different e-commerce stakeholders, including SME owners, IT and service providers and e-commerce platforms, can benefit from the findings of this work.

This study aims to investigate the impact of ex-ante regulatory interventions on emerging digital markets related to data sharing and combination practices. Specifically, it evaluates how such interventions influence market contestability by considering data network effects and the economic value of data.

The research uses agent-based modeling and simulations to analyze the dynamics of value generation and market competition related to the regulatory obligations on data sharing and combination practices.

Results show that while the promotion of data sharing through data portability and interoperability has a positive impact on the market, restricting data combination may damage value generation or, at best, have no positive impact even when it is imposed only on those platforms with very large market shares. More generally, the results emphasize the role of regulators in enabling the market through interoperability and service multihoming. Data sharing through portability fosters competition, while the usage of complementary data enhances platform value without necessarily harming the market. Service provider multihoming complements these efforts.

Although agent-based modeling and simulations describe the dynamics of data markets and platform competition, they do not provide accurate forecasts of possible market outcomes.

This paper presents a novel approach to understanding the dynamics of data value generation and the effects of related regulatory interventions. In the absence of real-world data, agent-based modeling provides a means to understand the general dynamics of data markets under different regulatory decisions that have yet to be implemented. This analysis is timely given the emergence of regulatory concerns on how to stimulate a competitive digital market and a shift toward ex-ante regulation, such as the regulatory obligations to large gatekeepers set in the Digital Markets Act.

This chapter extends the concept of associational power into the context of online platform work. To do so, this chapter centers on platforms' underlying economic model – the multisided market – to better understand how workers may be able to collectively influence their terms and conditions of employment. In illuminating how labor's associational power functions in platform work arrangements, this model helps explain how collective action may function in the “gig economy” and provides a roadmap for future academic inquiry.

This chapter develops a model of associational power in the ride-hail industry which can be extended to markets defined by geographically specific platforms, like ride-hail, delivery, domestic work, and home healthcare workers.

This chapter finds that there is substantial promise for labor unions and other worker associations in the gig economy. Additionally, we find that even well-intended regulations can harm workers' power if the regulators do not grapple with the structure of digital platforms.

This chapter identifies the foundations of workers' associational power: network effects and multihoming. In contrast to traditional analyses of workers' power, labor's ability to withdraw its effort from a single employer is not the basis of its collective power. Instead, labor's power resides in its ability to withdraw its labor from a competitor and promise its exclusive labor to a single platform. Existing literature has explored the interaction between network effects and market power from the companies' perspective but has yet to extend this analysis to workers' perspective.

The interdisciplinary nature of video networking, coupled with various recent developments in standards, proposals and applications, poses great challenges to the research and industrial communities working in this area. The main purpose of this paper is to provide a tutorial and survey on recent advances in video networking from an integrated perspective of both video signal processing and networking.

Detailed technical descriptions and insightful analysis are presented for recent and emerging video coding standards, in particular the H.264 family. The applications of selected video coding standards in emerging wireless networks are then introduced with an emphasis on scalable video streaming in multihomed mobile networks. Both research challenges and potential solutions are discussed along the description, and numerical results through simulations or experiments are provided to reveal the performances of selected coding standards and networking algorithms.

The tutorial helps to clarify the similarities and differences among the considered standards and networking applications. A number of research trends and challenges are identified, and selected promising solutions are discussed. This practice would provoke further thoughts on the development of this area and open up more research and application opportunities.

Not all the concerned video coding standards are complemented with thorough studies of networking application scenarios.

The discussed video coding standards are either playing or going to play indispensable roles in the video industry; the introduced networking scenarios bring together these standards and various emerging wireless networking paradigms towards innovative application scenarios.

The comprehensive overview and critiques on existing standards and application approaches offer a valuable reference for researchers and system developers in related research and industrial communities.

Platforms have often been considered an excellent example of innovation with an incredibly fast diffusion rate due to network effects. Notwithstanding, in many cases, they match the definition of resistant innovations, requiring a significant change in the consumers' behavior that may slow down the process of diffusion. How can network effects be leveraged to disseminate resistant innovation based on a platform structure?

This research focuses on the car-sharing industry as a single case study, involving five different providers and two service aggregators operating in Milan, Italy.

First, this research shows how direct network externalities on the providers' side may play a vital role in the dissemination process, increasing the value perceived by the potential new entrants. Second, it shows how co-opetition dynamics, eventually encouraging multihoming phenomenon, may play – in the first phases of the diffusion process – a pivotal role to let the industry flourish.

This research contributes to the growing literature on platforms and two-sided platform showing how this model may be applied more broadly to network businesses to understand competitive dynamics.

This study offers insights to managers and practitioners dealing with network services, showing the potential benefits of coopetitive strategies while facing the initial phases of the dissemination process.

This paper gets together resistant innovation, two-sided platforms and network effects offering novel insights on the dynamics of network services – such as the car-sharing – while giving fresh insights taking the perspective of the service providers.

Information Systems (IS) research has built up a considerable understanding of digital platform ecosystems, while policymakers worldwide are aiming to introduce platform regulations that seek to erode fundamental mechanisms of digital platforms. This viewpoint article provides an introduction to how platform regulation affects our current understanding of digital platform ecosystems and suggests opportunities for future research.

A detailed analysis of the effects of the European Union (EU) Digital Markets Act (DMA) on current findings of organizational, technical and economic IS platform research.

Government regulations of digital platforms such as the DMA likely affect the central mode of operation of platforms in the scope of the regulation. The authors preconceive a major impact on platform openness, governance, steering the platform supply-side, modularity, nestedness, network effects, pricing and single-/multi-homing. In addition, the authors present opportunities for future research in each of these IS platform research streams.

Landmark regulations implemented in the past, such as the General Data Protection Regulation (GDPR), caused paradigm changes that fertilized research opportunities in IS and beyond. This viewpoint article aims to nudge studies that examine the changed mode of operation of platforms following platform regulation.

The purpose of this paper is to study how digital business models evolve when entrepreneurs move to new digital platforms and how this evolution is related to effectuation and causation logics.

This study applies a multiple case study approach to investigate how digital business models change in small, Japanese high-tech firms providing their innovations through different digital platforms. To investigate digital business models, this study considers the elements that comprise general business models. The case firms were selected based on size, products and transitions from physical to various digital platforms. Semi-structured interviews were conducted with the key decision-makers from the case firms.

The findings show that through digital transformation, the case firms’ digital business models evolved by following effectuation logic as well as causal logic. All the firms employed causal logic when moving to new platforms, among other actions. The case firms used effectual logic with success for product development and adjustments to their network. Especially firms providing video games relied on effectuation for high impact products. Effectual logic did not play a role at all in changes to value delivery and had only little impact on revenue structures.

This research helps understand how digitalization of platforms and subsequent moves to newer digital platforms improve a firm by changing the business model elements through effectuation and causation logics. This research extends the understanding of digital business model transformation to a more granular level, business model elements.