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The online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test of the competition structure of the data-driven online platform is still less. This research is trying to reveal market allocation structure of the personal data resource of China's car-hailing platforms competition by the empirical data analysis.

This research is applying the social network analysis by R packages, which include k-core decomposition and multilevel community detection from the data connectedness via the decompilation and the examination of the application programming interface of terminal applications.

This research has found that the car-hailing platforms, which establish more constant personal data connectedness and connectivity with social media platforms, are taking the competitive market advantage within the sample network. Data access discrimination is a complementary method of market power in China's car-hailing industry.

This research offers a new perspective on the analysis of the multi-sided market from the personal data resource allocation mechanism of the car-hailing platform. However, the measurement of the data connectedness requires more empirical industry data.

This research reveals the competition structure that relies on personal data resource allocation mechanism. It offers empirical evidence for governance, which is considered as the critical issue of big data research, by reviewing the nature of the data network.

It also reveals the data convergence process of the social system and the technological system.

This research offers a new research method for the real-time regulation of the car-hailing platform.

This article is based on a systematic and comprehensive review of the literature on two-sided platforms, the business structure based on the concept of matchmaking groups of customers (e.g. Uber or Airbnb). The research aims to identify gaps in the existing literature while providing a structured summary of the existing knowledge in the field. Finally, we propose a conceptual framework enabling platform thinking, the ability to see hybrid multi-sided platforms as a useful resource-orchestration structure to unveil innovation opportunities.

This study adopts a bibliometric approach, combing co-citation and text mining analyses of 196 papers, also implementing a longitudinal analysis that highlights the evolution of the field since its inception till today.

The novel aspect of the paper consists in taking a purely managerial stance of a very peculiar kind of platform, merging existing knowledge in comprehensive frameworks while providing potential avenues for research.

From an academic perspective, this research highlights the double nature of two-sided platforms: as an operational choice or as a way to exploit (digital) assets and reach the economic sustainability. A research agenda is proposed, based on three pillars: a side-based standpoint, a business model perspective and an evolutionary stance to see how these businesses may evolve.

The research identifies different literature streams that may help practitioners in identifying how two-sided platforms may help them in fostering innovation.

The identification of two-sided platforms as a different way to create value (transaction platforms) or to capture value (non-transaction platform), enhancing the debate on this innovative business model. A research agenda to bring the field forward is proposed.

This paper aims to explain and demonstrate how business model frameworks can be used to understand market developments and to assess the role of policy in (multi‐sided) ICT markets.

The research approach in the paper builds on integrated business model frameworks, which cover (much) more than the financial decisions of one single firm. A case study approach is implemented and tested in two studies on digital content platforms.

Relevant policy instruments are identified and explored. To some extent, the findings are complementary or contradictory to the findings of existing studies on digital content platforms. The paper includes policy recommendations related to mobile and fixed content platforms.

Limitations of the study are due to the explorative and qualitative approach, and are to be complemented by other approaches. Policy makers and researchers can use the approach to analyse digital content platform developments and the impact of policy. Stakeholders in innovation processes can use the approach to address business models as well as policy issues for emerging platforms and services.

The use of business model analysis in the context of policy analysis is a relatively new approach that is inspired by research findings on information communication technology (ICT) platforms and multi‐sided networks, progress in business model studies, challenges in the policy mix for ICT, and the importance of case study methods for impact assessment.

This study aims to increase understanding regarding the transformation of traditional business models, integrating digital technologies. The significance of digitisation within business models has increased dramatically in recent years. Because of this, new knowledge on how to transform traditional business models into digital business models in a systematic way is needed. Digital technologies, embedded in previously non-digital goods, force companies to rethink their business models.

A design science research methodology was chosen for this study. A literature review and semi-structured interviews served as the theoretical foundation to integrate behavioural science into the design science process. From the design science perspective, an artefact is introduced to provide an architectural framework to manage business model innovation in a systematic way. The artefact's application is demonstrated through a case study conducted at a real company and evaluated afterwards by means of structured interviews with experts.

The authors propose a highly useable and valuable conceptual framework for systematic business model innovation. However, one limitation of the research is that it was conducted among construction professionals in Germany, and so the result might not hold true for other firms or industry branches.

The research was conducted among construction professionals in Germany, and this acts as a limitation, as the result might not hold true for other firms or industry branches.

The purpose of this study is to provide managers with a framework for business model innovation, helping them systematically integrate digital technologies to create customer-added value. The proposed framework presents an innovative conceptual analysis of systematic business model innovation, which has not been addressed in prior studies.

Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However, despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization, and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non-paying users and paying customers; organizing customer engagement to allow self-customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms.

This paper aims to analyze the main challenges and critical success factors (CSFs) in managing multi-sided platforms (MSP) in Brazil, as well as to understand the differences between this management model and traditional companies.

Semi-structured interviews were conducted with experienced professionals in the field, focusing on challenges, CSFs and difficulties in managing MSP businesses. The data were analyzed using a mixed-method approach, involving content analysis for qualitative data and grey relational analysis and sensitivity analysis for quantitative data.

The experts identified eight CSFs, seven key differences between traditional businesses and MSPs, and five technology-related challenges in managing MSPs. They assessed the main difficulties reported in the literature and ranked them, with the most critical challenges being competition with companies adopting MSP models in the same sector (product/service niche) and the necessity for ongoing process adjustments to accommodate scalability.

This study enhances understanding of CSF, disparities between traditional and MSPs and technology-related challenges in this management model. The results can assist managers in emerging nations in enhancing the performance of MSP operations and can be a resource for researchers studying various contexts and creating company guidelines.

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.

The purpose of this paper is to introduce a new business model logic, highlighting value processes in and properties of platform business models to inform business model thinking from a systemic and dynamic perspective. It challenges the idea of firms managing, influencing and controlling entire activity systems.

The study traces the evolution of different approaches to business models and assesses theories that explain value cocreation and systemic value capture to develop a new business model logic.

Business model thinking has evolved away from Porter’s value chain to a new logic based on open networks and platforms. This study develops a framework for understanding platform business models from a systemic perspective. Derived from service-dominant logic, this new business model logic responds to phenomena in contemporary business environments characterized by increasing connectivity and sociality among actors.

The framework, developed from an extensive body of business model literature, has yet to be subjected to empirical investigation. Future research may involve the exploration of business model design processes and business model innovation from a systemic perspective.

Managers who aim to design their business models based on the logic of platform businesses require an understanding of their organization’s collaboration potential, technological interfaces and potential to leverage network relationships. This research guides start-ups and incumbents to evaluate their platform potential.

This study systematically emancipates the business model logic from a firm-centered, inside-out perspective, focuses on network relationships beyond the customer–firm dyad, explains value processes beyond organizational borders and rethinks value capture from a systemic perspective.