Old industrial spaces challenged by platformized value-capture 4.0

Jeannerat, Hugues; Theurillat, Thierry

doi:10.1080/00343404.2021.1935840

Cited by 13 publications

(5 citation statements)

References 77 publications

(83 reference statements)

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“…Value is derived when a business acts as a platform, supplying resources to facilitate transactions between two groups of value creators whose needs can be met by the resources of the other group. This role qualifies local operators to operate in data platform businesses and use new value creation and value capture approaches [37,67] as business platforms are a growing trend in the digitalization era. This further implies that, in practice, the business ecosystem is occupied by a wide range of users with increasingly more complex and overlapping value configurations.…”

Section: Discussionmentioning

confidence: 99%

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

et al. 2021

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The ongoing Industry 4.0 transformation places significant pressures on how businesses create and capture value. Technological advancements such as next-generation mobile communications are reshaping the business ecosystem of Industry 4.0, resulting in emerging business opportunities for new players, such as local operators, to collaborate and compete with mobile communications companies that are implementing I4.0. These changes raise the need to explore emerging business opportunities concerning the digitalization of future factories. New data and connectivity services are introduced to serve the needs of rapidly increasing machine-type communications that rely on connectivity, primarily through the fifth generation (5G) mobile solutions provided by local operators. Thus, this paper outlines the potential value configurations for data and connectivity solutions by identifying, matching, and bridging the utilizable resources and addressable needs within the factory processes. The research applies an exploratory approach and uses the Gioia method to analyze qualitative data of a single case. The study follows the connectivity-content-context-commerce typology (4C) of Internet business models to structure, analyze, and classify the identified needs and resources in future factories from the perspective of the local operator. The findings show that the content layer of 4C business model typology is the most dominant among data and connectivity-based needs and resources of future factories. The paper contributes by presenting four alternative value configurations for digitalization for local operators in the future factory context: the product, component, platform, and complementary businesses. The results suggest content- and context-specific businesses carries foremost business potential for local operators, however quantitative validation will bring fruitful research avenues. Multiple case studies and different data collection methods may also be considered in future studies.

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Section: Discussionmentioning

confidence: 99%

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

et al. 2021

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“…On the second level, value makers (platformization, the sharing economy, and servitization) utilize data to add sustainable value for the company and its stakeholders, including customers, suppliers, or others, contributing to company growth, profitability, resource utilization, and innovation [89,129,130]. Studies discuss the importance of platformization [131][132][133], servitization [134][135][136], and the sharing economy [129,137] as value makers during DDBMI, which benefit from the enablers. Value makers and enablers share a reciprocal relationship: Enablers empower value makers technologically to add value by providing tools and capabilities to exploit new opportunities, enhance efficiency, improve productivity, and foster innovation [138,139].…”

Section: Three Levels For the Preparedness Of Data-driven Business Mo...mentioning

confidence: 99%

Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers

Tripathi,

Bachmann,

Brunner

et al. 2024

Applied Sciences

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This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI. Through qualitative thematic synthesis, these topics are further refined, interpreted, and categorized into three levels: Enablers, value creators, and outcomes. This categorization aims to assess incumbent manufacturers’ preparedness for DDBMI. Additionally, a knowledge framework is developed based on the identified nine key topics of DDBMI to aid incumbent manufacturers in enhancing their understanding of DDBMI, thereby facilitating the practical application and interpretation of data-driven approaches to business model innovation.

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“…The notion of value capture in digital platforms alludes to the ability of platform owners to extract a portion of the value generated by complementors through fees, commissions, or other means [103]. If left unchecked, this practice can result in market disruption and potentially monopolistic or oligopolistic profits.…”

Section: Boundary Resources and Value Co-creationmentioning

confidence: 99%

Exploring the Boundaries of Success: A Literature Review and Research Agenda on Resource, Complementary, and Ecological Boundaries in Digital Platform Business Model Innovation

Daradkeh

2023

Informatics

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Digital platform business model innovation is a rapidly evolving field, yet the literature on resource, complementary, and ecological boundaries remains limited, leaving a significant gap in our understanding of the factors that shape the success of these platforms. This paper explores the mechanisms by which digital platforms enable business model innovation, a topic of significant theoretical and practical importance that has yet to be fully examined. Through a review of the existing literature and an examination of the connotations of digital platforms, the design of platform boundaries, and the deployment of boundary resources, the study finds that (1) the uncertainty of complementors and complementary products drives business model innovation in digital platforms; (2) the design of resource, complementary, and ecological system boundaries is crucial to digital platform business models and manages complementor and complementary product uncertainty while promoting value co-creation; and (3) boundary resources establish, manage, and sustain cross-border relationships that impact value creation and capture. Based on these findings, four research propositions are proposed to guide future research on digital platform business model innovation and provide insights for effectively innovating business models and influencing value creation and capture.

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Old industrial spaces challenged by platformized value-capture 4.0

Cited by 13 publications

References 77 publications

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers

Exploring the Boundaries of Success: A Literature Review and Research Agenda on Resource, Complementary, and Ecological Boundaries in Digital Platform Business Model Innovation

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