Developing a unified framework of the business model concept
Abstract
Recent rapid advances in Information and Communication Technologies (ICTs) have highlighted the rising importance of the Business Model (BM) concept in the field of Information Systems (IS). Despite agreement on its importance to an organization's success, the concept is still fuzzy and vague, and there is little consensus regarding its compositional facets. Identifying the fundamental concepts, modeling principles, practical functions, and reach of the BM relevant to IS and other business concepts is by no means complete. This paper, following a comprehensive review of the literature, principally employs the content analysis method and utilizes a deductive reasoning approach to provide a hierarchical taxonomy of the BM concepts from which to develop a more comprehensive framework. This framework comprises four fundamental aspects. First, it identifies four primary BM dimensions along with their constituent elements forming a complete ontological structure of the concept. Second, it cohesively organizes the BM modeling principles, that is, guidelines and features. Third, it explains the reach of the concept showing its interactions and intersections with strategy, business processes, and IS so as to place the BM within the world of digital business. Finally, the framework explores three major functions of BMs within digital organizations to shed light on the practical significance of the concept. Hence, this paper links the BM facets in a novel manner offering an intact definition. In doing so, this paper provides a unified conceptual framework for the BM concept that we argue is comprehensive and appropriate to the complex nature of businesses today. This leads to fruitful implications for theory and practice and also enables us to suggest a research agenda using our conceptual framework.
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Most scholars argue that BMs should be a strategy implementation.
“Most scholars argue that BMs should be a strategy implementation (Al-Debei & Avison, 2010;Cortimiglia, Ghezzi, & Frank, 2016).”
From Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs? (2019) · cites this paper as Al-Debei & Avison, 2010
Strategy needs to be implemented in the business logic as a first step in the BMI process.
“We follow the view that strategy needs to be implemented in the business logic as a first step in the BMI process.”
From Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs? (2019) · cites this paper as Al-Debei & Avison, 2010
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- Authors
- Al-Debei, M. M., & Avison, D.
- Affiliations
- Information Systems and Computing, Brunel University Uxbridge U.K.
- École Supérieure des Sciences Économiques et Commerciales (FR)
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2010-06
- Volume
- 19
- Issue
- 3
- Pages
- 359-376
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2152604313
- Cited by
- 879
- References
- 83
- Citations by year
- 2026: 30 · 2025: 40 · 2024: 60 · 2023: 68 · 2022: 77 · 2021: 84 · 2020: 67 · 2019: 63 · 2018: 70 · 2017: 63 · 2016: 51 · 2015: 67 · 2014: 52 · 2013: 42 · 2012: 32
- FWCI
- 79.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Information Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Innovation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Keywords
- business models, business model concept, conceptual framework, business model dimensions, business model ontology, business strategy, business processes, e-commerce, digital organization, information systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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