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To better understand where the banking industry is heading and how it can thrive in the new environment of converged industries and competition, the IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 850 banking and financial markets executives across all major geographies and a variety of C-suite roles.

The survey sought answers to three key questions: What impacts are the changing currents around ecosystems, business models and business economics having on banking and other financial services organizations? What strategies are likely to be most successful for banks to adopt over the next few years? What steps can banking leaders adopt today to accelerate their progress toward obtaining a leading competitive position?

Most senior executives surveyed – 72 percent – agree that platform business models – and the ecosystems that underpin them – are disruptive for the banking industry: 70 percent of executives say that platform business models are driving changes in traditional value chains across the industry. 69 percent acknowledge that platforms are disrupting their organization’s own business and operating models.

As many as 79 percent of banking executives globally say that adoption of platform business models will help them achieve sustainable differentiation and competitive advantage with benefits across multiple dimensions. They identify profitability, innovation and access to markets as the top-three areas where platform models can drive advantage.

Visionary banks believe engagement with partners across platforms should increase their commitment to innovation, especially relating to the search for new and more valuable product and service combinations. They realize that radical transformation is required across business and operating models and in the way resources, business processes and technologies are assembled to create value.

Circular economy firms, unlike those in a linear economy, encounter significant challenges due to the nature of nonstandardized products, such as asymmetric information on product specifications and highly dispersed supply and demand. Consequently, achieving large-scale operations becomes inherently difficult for them. However, when digital platform-based circular firms adopt diversified business models, their value creation has the potential to achieve significant scale. This study aims to answer “How do digital platform-based circular firms scale up value creation through business model diversification?”.

The authors use a qualitative case study design with a longitudinal (2011–2023) analysis of the various business models developed by ATRenew, a leading firm in the Chinese preowned electronics industry.

The authors find that the recycling business model can act as a “cornerstone” business model for a circular firm to integrate the business model portfolio by leveraging the most synergies (or complementarities) with other business models. Besides, digital platform-based circular firms can effectively scale up value creation by leveraging capability complementary on the supply side, through establishing industrial infrastructure shared with the platform ecosystem; and by leveraging customer complementary on the demand side, through activating the dual role played by platform users as suppliers and consumers.

The authors contribute to the circular business models literature with three mechanisms to scale up circular value creation through business model diversification and advance a set of propositions to be tested in future research. This also has important practical implications for circular economy platform businesses.

This study investigates the sustainability models of non-profit and hybrid organizations, which aim to balance economic, social and environmental objectives. The research introduces the Sustainability Model Canvas to analyze these organizations and identify common patterns, unique characteristics and managerial insights to balance the triple bottom line.

The research utilizes the Sustainability Model Canvas to examine the sustainability models of 200 non-profit and hybrid organizations. Data were collected from secondary sources, including articles, reports and websites. The analysis was conducted using the activity system theoretical framework, which helped to identify design elements and themes within the business models of the studied organizations.

The study reveals four primary sustainability model patterns: donated income, earned income, public income and auto-generated income. An additional mixed approach pattern is identified, combining elements from the four primary patterns. The research highlights the parallels between these sustainability models and multi-sided platform business models, offering managerial suggestions for leveraging these patterns to achieve sustainability.

The study is based on secondary data, which may limit the depth of insights compared to primary data collection. At the same time, the chance to consider hybrid organization through multi-sided platform lenses provides relevant contributions to both the literature streams.

The identified sustainability model patterns and managerial suggestions can serve as blueprints for non-profit and hybrid organizations aiming to design or innovate their sustainability models. The Sustainability Model Canvas offers a practical tool for organizations to visualize and balance their triple bottom line objectives.

The research underscores the importance of integrating social and environmental considerations into business models, promoting a holistic approach to sustainability that can lead to broader social and environmental benefits.

This research contributes to the business model literature by extending the focus beyond traditional profit-oriented organizations to include non-profit and hybrid organizations. The introduction of the Sustainability Model Canvas provides a new tool for designing and analyzing sustainability-oriented business models. The study also suggests considering sustainability models as multi-sided platforms, offering new insights for both academic and practical applications.

The digital platform-based sharing economy has become ubiquitous all over the world. In this paper, we explore how market actors’ conflicting interpretations of digital platforms’ business models give form and shape value co-creation and capture practices in contexts marked by weak institutions and underdeveloped markets.

Integrating insights from the broader literature on digital platforms and the contemporary turn to “meaning-making” in social theory, we adopt a problematization method to unpack the collective contest over the interpretation of value co-creation and capture from ridesharing platforms in contexts marked by weak institutions and underdeveloped markets.

Collective contest over the interpretation of digital business models may give rise to competing meanings that may enable (or impede) digital platform providers’ ability to co-create and capture value. We present an integrative framework that delineates how firms caught up in such collective contests in contexts marked by weak institutions and underdeveloped markets may utilise such conditions as marketing resources to reset their organising logic in ways that reconcile the conflicting perspectives.

The paper presents propositions constituting a contribution to a meaning-making perspective on ridesharing digital platforms by offering insights into how digital business models could potentially be localised and adapted to address and align with the peculiarities of contexts. It goes further to present a theoretical model to extend our understanding of the different sources of contestation of meaning of digital platforms.

The meaning-making perspective on digital platforms extends our understanding of how the collective contest over interpretations of value co-creation and capture may offer a set of contradictory frames that yield possibilities for ridesharing platform providers, and their users, to assimilate the organising logic of digital business models into new categories of understanding.

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.

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.

Building on the multi-divisional business model (M-model), the purpose of this paper is to develop a better understanding of triadic business models – T-models – and how they create value for their three categories of stakeholders, i.e., the suppliers, the platform firm and the buyers. The research question that guides the present study is twofold: How is value created individually and collectively in triadic business models and what might challenge their sustainability?

Anchored in extant literature and a process of conceptual modeling with empirical examples from Uber, a new business model archetype was developed for two-sided markets mediated by a middleman.

The paper provides a theoretically and conceptually derived roadmap for sustainable business in a triadic business model, i.e., for the buyers, sellers and the platform firm. This model is coined the T-model. A number of propositions are derived that argue the relationship between key constructs. Finally, the future beyond the T-model is explored.

The paper identifies, illustrates and discusses the ways in which value is created in sustainable T-models. First, value is created from a number of sources, not only from lower transaction costs. Second, it is proposed that it is not about a choice of either M-model or T-model but rather a continuum. Toward 2050, technology in general and Blockchain specifically may for some transactions or services, eliminate the need for middlemen. The main conclusion is that despite this development, there will, for most organizations, be elements of the M-model in all or most T-model businesses. In short: middlemen will have elements of the M-model embedded in the T-model when co creating value with buyers and sellers.

While two-sided T-models are not new to the business area, surprisingly no papers have systematically investigated, illustrated, and discussed how value is created among and between the three stakeholder categories of the T-model. With this insight, more sustainable T-models can be created.

The purpose of this paper is to examine the startup models adopted by entrepreneurs in launching platform enterprises, and the effectiveness of business incubators across Sub-Saharan Africa (SSA).

Data reflecting origin, models, services, ownership and other variables were collected on over 600 platforms and 196 incubators, and were analyzed using descriptive and inferential statistics.

Market portfolio of the platform startups is dominated by independent models, as incubators and accelerators were found to be inadequate in platform establishment within the region in terms of the services rendered to incubatees. The results also indicate that private ownership still dominates the startup ecosystem with a scant presence of public participation and almost a complete absence of public-private partnerships.

This exploratory study is constrained by a limited access to information on the platform ecosystem within the SSA region, curbing the scope of empirical work; but serves as a foundation for further investigations within the domain.

The paper highlights the imperative for African Governments to make conscious efforts in driving enabling policies that will help bridge the gaps identified in facilitating the development of the region’s emergent platform economy.

The paper empirically elucidates the limited availability of critical resources necessary in supporting the successful development and growth of platform startups; and helps explain why the platform ecosystem within the region, though very active in the last decade, has not been laden with landmark and scaled innovations.

This article examines the new phenomenon of the convergence of platform and pipeline business models. It examines the potential synergies and challenges for platforms to add pipeline components and vice versa for pipeline businesses.

This paper uses a conceptual approach that synthesizes and integrates the literature from service, hospitality, and strategy, and supplements them with two illustrative mini-case studies.

While the extant literature typically focuses on the dichotomy between incumbent pipeline businesses that create value by controlling a linear series of activities and network effects-driven platforms, we differentiate between two types of platform business models (i.e. platforms with asset control and platforms with peer-provided assets). Further, we identify three common pathways of convergence; that is, pipelines moving towards (1) platforms with asset control and (2) those with peer-provided assets, and (3) platforms with peer-provided assets adopting defining business characteristics of pipelines. Furthermore, we contrast key characteristics of the three business models and examine potential synergies and challenges for business model convergence. Our findings suggest that convergence from pipelines to platforms with asset control seems to be a natural extension that offers many potential synergies and relatively minor challenges. In contrast, convergence from pipelines to platforms with peer-provided assets is likely to encounter more serious challenges and few synergies. Finally, the synergies and challenges of convergence from platforms with peer-provided assets to pipelines seem to be in between the other two in terms of synergies and challenges.

This article helps managers think through key considerations regarding potential synergies to develop and challenges to mitigate for embarking on convergence strategies between pipeline and platform business models.

This article is the first in the service, business model and strategy literature to identify, define, and conceptualize business model convergence between platforms with asset control, those with peer-provided assets and pipeline businesses. It is also the first to examine potential synergies and challenges these different paths of business model convergence may entail.