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Despite still being younger than a decade, the theory of multisided markets has offered numerous valuable insights for the analysis of industries in which a supplier serves two distinct customer groups that are indirectly interrelated by externalities. Examples include payment systems, matching agencies, commercial media, and software platforms. However, professional sports markets have largely been neglected so far in this kind of research although they possess the characteristics of multisided markets. The purpose of this paper is to contribute to filling this gap by describing the platform elements of professional suppliers of sports events and by conceptually outlining issues where an application of this theoretical framework is likely to provide valuable insights and to add to the existing knowledge. Among these problems are integrative pricing strategies of sports clubs towards such different customer groups as attendees, broadcasters, sponsors, etc., including their welfare and antitrust implications, and design decisions of sports associations, in order to promote positive feedback loops among the customer groups as well as management strategies to reinforce positive externalities among customer groups and alleviate negative ones.

The paper applies the theory of multisided markets to sports markets. It analyses whether the participants and their interrelations can be described as facing a multisided market context and briefly outlines the strategy implications for sports business.

The paper finds that the multisided market framework offers a promising framework for analysing sports business and adds insights to several problems of sports markets that “traditional” analysis cannot fully solve.

This is the first paper to systematically discuss the applicability of the multisided market framework to sports markets. As a conceptual paper, it hopes to stimulate further research in this area and open a promising avenue for scientific progress in the field.

This article explores a particular on-demand fabrication unit, the microfactory (MF). It identifies and contrasts several MFs and proposes a taxonomy. This research also explores online manufacturing platforms (OMP) that complement certain MFs.

This research implements a multiple case study (71 cases in 21 countries), triangulating data available on the web with interviews, virtual/physical tours and experiential research.

The results suggest that automation and openness are the main dimensions that differentiate the MFs. Using these dimensions, a taxonomy of MFs is created. MFs with relatively low automation and high openness tend to be innovation-driven microfactories (IDMFs). MFs with high automation and low openness levels tend to be customization-driven microfactories (CDMFs). And MFs with relatively low automation and low openness tend to be classic machine shops (MSs). There are two types of OMP: closed (COMPs) and multisided (MOMPs). MOMPs can be low-end or high-end.

In a world where online platforms are becoming central to the reinvention of manufacturing, multisided online platforms and small fabricators will become strongly symbiotic.

This paper offers a clearer conceptualization of MFs and OMPs, which may help to better understand the reality of local on-demand fabrication. Moreover, it explores a new type of experiential research, which tries to describe and interpret firms through transactional activities. Many details of a firm that are difficult to capture via interviews and netnography can be revealed this way.

Selecting an appropriate theory has always remained a critical task for the digital policy researchers. The literature seems to miss providing theoretical accounts of policy view of the digital platforms governance and offering tools for measuring the effectiveness of policies. To this end, this paper aims to provide a critical review and comparison of dominant information systems (IS) theories used. It highlights the weaknesses of these theories to explain technology features and actor- technology interactions with the rising trend of digital platforms. The main argument of this research is that the policymakers will not have adequate tools for policymaking of digital platforms by following the assumptions of theories used dominantly in the IS field.

This paper analyzes the assumptions of dominant IS theories and their applications in the digital policy literature. Then, it shows to what extent these theories are incapable of conceptualizing features of technology and actors’ role in policymaking and governance of digital platforms.

This paper identifies three aspects of digital platforms, including layered architecture, multisided (“side” means “participants”) and user interaction based, that dominant IS theories have shortcomings in explaining them.

The findings of this research can help authorities to take a more realistic view in defining digital platform policy objectives and applying more appropriate tools in policy implementation.

Discussing insights into the shortcomings of theories helps to define the theoretical requirements for studying policymaking and governance of digital platforms. It also suggests opportunities and recommendations for future studies.

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.

This chapter shows how the theory of industrial organization can help us understand some important aspects of crowdfunding that go beyond the finance sphere of the firm. A special attention is devoted to the role and behavior of crowdfunding platforms, which intermediate between entrepreneurs and contributors.

Ecosystems that support digital businesses maximize the economic value of network connections. This forces a shift toward platforms and ecosystems that are collaborative by nature by applying business models with multiple actors playing multiple roles. The purpose of this study is to show how the main concepts emerging from research on digital platform ecosystems (DPEs) could be organized in a taxonomy-based framework with different levels or dimensions of analysis. This study discusses some of the contingencies at these different levels and argues that future research needs to study DPEs across multiple levels of analysis. While this integrative framework allows the comparison, contrast and integration of various perspectives at different levels of analysis, further theorizing will be needed to advance the DPE research. The multidimensional framework proposed here involves the use of a multimethodological approach that incorporates a synergy of businesses, technological innovations and management methods to provide support for research in interrelationships across platform ecosystems (PEs) on a regular basis.

This paper proposes a new PE framework by constructing a formal taxonomy model that explains a vast group of phenomena produced by the PEs.

In addition to illustrating the PE taxonomy framework, this study also proposes a clear and precise description and structuring of the information in the ecosystem domain. The PE framework assists in identification, creation, assessment and disclosure research of platform business ecosystems.

Because of the large number of taxonomy concepts (over 200), only main taxonomy fragments are shown in the paper.

The outcomes of this research could be used for planning, oversight and control over ecosystem management and the use of ecosystem’s knowledge-related resources for research purposes.

The PE framework is original and represents an effective tool for observing PEs.

The proliferation of industry platforms has disrupted several industries. Firms adopting a platform business model have experienced a substantial expansion in size and scale, positioning themselves as the foremost valuable entities in market capitalization. Over the past two decades, there has been a substantial expansion in the body of literature dedicated to platforms, and different streams of research have emerged. Despite considerable efforts and the significant progress made in recent years toward a comprehensive understanding of industry platforms, there is still room for further harnessing the field’s diversity. As a result, the aim of this article is to examine the field’s structure, identify research concerns and provide suggestions for future research, thereby enhancing the overall understanding of industry platforms.

We conducted a thorough examination of 458 articles on the topic using bibliometric methods and systematic review techniques.

Through co-citation analysis, we identified five distinct clusters rooted in various bodies of literature: two-sided markets, industry platforms, digital platforms, innovation platforms and two-sided networks. Furthermore, the examination of these five clusters has revealed three key areas that demand further consideration: (1) terminologies, (2) classifications and (3) perspectives.

While previous reviews have provided valuable insights into the topic of industry platforms, none have explored the structure of the field so far. Consequently, as a first step toward advancing the field, we uncover the structure of the literature, identifying three major areas of concern. By addressing these concerns, our goal is to converge different clusters, thereby harnessing the diversity in the field and enhancing the overall understanding of industry platforms.

This study aims to demonstrate that the Dynamic Performance Management (DPM) framework, integrating performance management with system dynamics modelling, enables decision-makers to identify sustainable strategies in online food delivery platforms, thereby avoiding company failure.

This study undertakes a multistep methodological approach. After the literature review, a retrospective case study approach was used. To build the DPM framework and the system dynamics simulation model, primary and secondary data were collected and analysed.

This study by adopting the DPM perspective highlights the critical role performance drivers play to assess the viability of alternative growth strategies in food delivery digital platforms. As such, the findings complement extant studies which highlighted the need for adopting a dynamic perspective in Performance Measurement and Management (PMM), particularly in complex and turbulent environments. Findings also highlight that in food delivery platforms, network effects may result insufficient to reach a critical volume of users and factors such as key drivers impacting platform attractiveness must be considered to design effective PMM.

Future studies may apply the DPM framework here suggested to multiple digital platforms, to validate this study's findings.

This paper offers a guidance to practitioners and scholars to design effective PMM in food delivery digital platforms.

This study offers an innovative perspective to analyse the interdependences among main mechanisms underpinning the performance of food delivery platforms. As such, it contributes to enrich prior PMM literature and addresses the call for more empirical and theoretical PMM contributions in fast-changing and turbulent environments.

Razorpay is a four-year-old Indian B2B fintech startup in digital payments which is venturing into digital lending. It aims to simplify digital payment flows involved in acceptance, processing, and disbursement of payments through superior technology and automation. This case details how Razorpay creates value for businesses by offering service convenience in B2B space. Razorpay started as a payment solutions provider, primarily known for their payment gateway. Over time the market for digital payment in India has matured, with multiple providers offering similar products making it difficult for Razorpay to sustain its growth by using technological leadership and service differentiation. To maintain its growth trajectory, Razorpay has launched multiple new products in the digital payment space as well as announced a foray into creating a marketplace for digital lending through launch of Razorpay Capital. The case provides details of the growth of Razorpay and its move from its core strength of payment gateway