Literature review on industrial digital platforms
A business model perspective and suggestions for future research
Bibliographic Data
| ID | 21403397 |
|---|---|
| Authors | Arun Madanaguli (0000-0001-9434-5429, Luleå University of Technology), Vinit Parida (0000-0003-3255-414X, Luleå University of Technology), David Sjödin (0000-0001-5464-2007, Luleå University of Technology), Pejvak Oghazi (0000-0003-2125-6155, Hanken School of Economics, corresponding author) |
| Year | 2023 |
| Volume | 194 |
| Pages | 122606 |
| Publication date | 2023-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2023.122606 |
| OpenAlex | W4385324022 |
| Language | EN |
| Citations received | 15 |
| References cited | 109 |
Rapid digitalization of industries has led to the proliferation of complex industrial digital platforms; however, few industrial platform leaders have successfully established sustainable business models around their offerings. The need for a concrete definition of industrial digital platforms and their business models further complicates our understanding of the issue. In this prospecting review, we critically analyze the existing literature on industrial digital platforms to identify key research themes and research gaps and propose a future research agenda for the industrial digital platform literature from a business model perspective. Drawing on insights from research on industrial platforms, digitalization, digital servitization, and business-to-business (B2B) relationships, our analysis focuses on three key themes in defining the boundaries of industrial digital platforms and the crucial aspects of value creation, value delivery, and value capture on such platforms: (a) co-creative value creation, (b) digitally integrated value delivery, and (c) mutual value capture. The findings of this study and a future research agenda framework provide a roadmap for advancing the understanding of business models for industrial digital platforms. This research aims to contribute to the emerging field of industrial digital platforms and guide future research endeavors in this domain, unlocking the full potential of these platforms for businesses and industries
Business · Business model · Business Value · Data science · Digital transformation · Economics · Engineering management · Key (lock) · Knowledge management · Perspective (graphical) · Process management · Sustainability · Sustainable Value · Value (mathematics) · Value capture · World Wide Web · Computer Science · Digital Marketing and Social Media · Digital Platforms and Economics · Engineering · Marketing · Service and Product Innovation
Digital platforms and the reconfiguration of global production networks
Platform failures
Theoretical and practical approach to the essential characteristics and structure of digital ecosystems of industrial enterprises
How do the key capabilities of the industrial internet platform support its growth? A longitudinal case study based on the resource orchestration perspective
Digital economy and urban innovation level
In-depth enablement on users with governance mechanisms by platform firms
Industrial ecosystems
Corporate incubation for platform growth and the transition to platform scaling
Artificial intelligence capabilities for circular business models
Artificial intelligence enabling circular business model innovation in digital servitization
The role of digital B2B platforms with industry 4.0 technological ecosystems(integration of cloud computing, artificial intelligence and internet of things) as a growth lever
How Revolutionising Supply Chains Contribute to Sustainable Development and Planning? A Systematic Literature Network Analysis of Platform‐Based Ecosystems
Not only big techs matter
Super apps and the mobility transition
What drives the success of online platforms for industrial symbiosis? An agent-based model
Bridging differing perspectives on technological platforms
Digital platform ecosystems
Balancing platform control and external contribution in third‐party development
Orchestrating industrial ecosystem in circular economy
The Digital Platform
Industry Platforms and Ecosystem Innovation
Networks, platforms, and strategy
How AI capabilities enable business model innovation
The sharing economy and digital platforms
Rameses publication standards
Digital servitization business models in ecosystems
Literature review as a research methodology
Impact of value co‐creation in the artificial intelligence innovation ecosystem on competitive advantage and innovation intelligibility
Understanding platform transformation from internal to external
A journey towards a digital platform business model
Consolidating digital servitization research
Dynamic capabilities for ecosystem orchestration A capability-based framework for smart city innovation initiatives
The evolution of the digital service ecosystem and digital business model innovation in retail
Digital Platforms for the Circular Economy
Integrated strategy of industrial product suppliers
| Unique citing works | 15 |
|---|---|
| Citations per year | 5 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |