Digital Transformation and Business Model Evolution in the Consulting Industry: Strategic Complexity, Information Use, and Multi-Model Adaptation
Keywords:
Business model innovation, digital consulting, information strategy, multi-business modelsAbstract
The global consulting industry is undergoing a profound transformation driven by rapid digitalization, evolving client expectations, increasing technological complexity, and intensified competitive pressures. Traditional consulting business models, which historically relied on expertise-based, relationship-driven, and project-oriented value creation, are increasingly challenged by digital platforms, data-driven decision-making, and scalable advisory solutions. This research article examines how consulting firms adapt their business models in response to digital transformation, focusing on the theoretical foundations of business model innovation, the role of information and technology, and the management of complexity in multi-business-model organizations. Drawing strictly on established academic literature, industry reports, and authoritative databases, this study integrates classical business model theory with contemporary perspectives on consulting practice. A qualitative, theory-driven methodological approach is employed, synthesizing insights from business model ontology, dual and multiple business model strategies, information utilization, and consulting niche specialization. The findings highlight that successful consulting firms increasingly adopt hybrid and multi-layered business models, balancing traditional high-touch consulting with digital, data-enabled, and platform-based services. The study further reveals that information governance, strategic use of analyst insights, and failure-prevention mechanisms play a critical role in sustaining competitive advantage. The discussion elaborates on theoretical implications, managerial challenges, structural tensions, and limitations of existing models, while proposing directions for future research on digital consulting ecosystems and small and medium-sized enterprise advisory contexts. The article contributes to academic discourse by offering an integrated, deeply elaborated conceptual understanding of business model evolution in the consulting industry under digital transformation pressures.
References
Clement, J. (2021). Percentage of mobile device website traffic worldwide from 1st quarter 2015 to 1st quarter 2021. Statcounter, Statista Database.
Deloitte. (2015). Our history. Deloitte.com.
Dictionary, O.E. (1989). Oxford English Dictionary. Simpson, J.A. and Weiner, E.S.C.
Eurostat Data Browser. (2021). ICT usage in enterprises. ISOC_CI_EU_EN2. Eurostat.
Fields, D.A. (2017). The Irresistible Consultant's Guide to Winning Clients: 6 Steps to Unlimited Clients & Financial Freedom. Morgan James Publishing.
Fields, D.A. (2019). Niche: Required or Overblown for Your Consulting Firm? davidafields.com.
Forrest, G. (2011). FMEA (Failure Mode and Effects Analysis) Quick Guide. ISixSigma.com.
Gartner. (2021). Information technology (IT) spending forecast worldwide from 2012 to 2022, by segment. Statista Database.
Kovalchuk, A. (2025). Complex model of business consulting for small and medium-sized enterprises. Theory, methodology and practice of implementation. https://doi.org/10.25313/kovalchuk-monograph-2025-90
Krüger, N. and Teuteberg, F. (2018). Consulting business models in the digital era. Proceedings of the Multikonferenz Wirtschaftsinformatik, MKWI 2018.
Markides, C. and Charitou, C. (2004). Competing with dual business models: A contingency approach. Academy of Management Perspectives, 18(3), 22–36.
Osterwalder, A. (2004). The Business Model Ontology – A Proposition in a Design Science Approach. PhD Thesis, University of Lausanne.
Osterwalder, A. and Pigneur, Y. (2004). Investigating the use of the business model concept through interviews. ICEB 2004 Proceedings, 95.
Parnell, B., Stone, M. and Aravopoulou, E. (2018). How leaders manage their business models using information. The Bottom Line, 31(2), 150–167.
Parnell, B., Stott, R., Stone, M., Aravopoulou, E. and Timms, L. (2017). Business model innovation, strategic information and the role of analyst firms. The Bottom Line, 30(2), 151–162.
Snihur, Y. and Tarzijan, J. (2018). Managing complexity in a multi-business-model organization. Long Range Planning, 51(1), 50–63.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dr. Michael R. Andersson

This work is licensed under a Creative Commons Attribution 4.0 International License.