Sustainable Emerging Technologies: Battle for Dominant Design
Abstract
:1. Introduction
2. Literature Review, Definitions, and Hypotheses
2.1. Discontinuous vs. Disruptive SETs
2.1.1. Discontinuous SET
2.1.2. Disruptive SET
Evolution of the Term Disruption
Definition of Disruptive Technology
2.2. Battle for the New Dominant Design
- Main Hypothesis
- Mediating Hypotheses
3. Conclusions, Implications, and Contributions
3.1. Conclusions
3.2. Contributions
3.3. Practical Applications
3.4. Directions for Future Research
3.5. Limitations
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Section A1. Sistematic Reviews | |
Disruptive Technology | |
Paper | Contribution |
Cubero et al. (2021) [20] | Cubero et al. (2021) [20] review how disruptive innovations are commercialized and propose a three-phase framework: value proposition validation, business model creation, and mainstream market sales. It identifies key factors like market orientation, learning, and user involvement. The study emphasizes early commercialization efforts and aims to bridge academic research with entrepreneurial practice. |
Martínez-Vergara and Valls-Pasola (2021) [21] | Martínez-Vergara and Valls-Pasola (2021) [21] critically review how the term “disruptive innovation” has been used in academic literature. It identifies widespread conceptual confusion and proposes a clearer framework based on innovation type, market impact, and performance trajectory. The authors distinguish disruptive innovation from radical and incremental types. Their revised definition aims to guide both researchers and practitioners. The work contributes to building a more consistent theoretical foundation for future studies. |
Petzold et al. (2019) [18] | Petzold et al. (2019) [18] present a process-based view of disruptive innovation, emphasizing the dynamic unfolding of events and actions over time. Unlike traditional linear models, it highlights how disruptive innovation emerges through the synchronization of technologies, business models, and market opportunities. The study identifies three phases: Initiation, niche market entry, and mainstream disruption. Success depends on timing, strategic adaptability, and managing stakeholder perceptions. A process model is proposed to guide a better understanding and management of disruptive innovation trajectories. |
Si and Chen (2020) [19] | Si and Chen (2020) [19] examine the development and impact of disruptive innovation from a strategic management perspective. They trace the evolution of the concept and identify how new entrants disrupt markets dominated by incumbents. The authors distinguish between low-end and new-market disruptions. They emphasize the importance of business model innovation in enabling disruptive strategies. Finally, the study suggests ways incumbents can respond to or adopt disruptive innovations. |
Yu and Hang (2010) [17] | Yu and Hang (2010) [17] offer a comprehensive review of Disruptive Innovation Theory, clarifying key concepts and addressing common misunderstandings. They evaluate the predictive power of the theory and summarize research on how to enable disruptive innovation from internal, external, marketing, and technological perspectives. The authors highlight numerous inhibitors and enablers for successful implementation. They propose future research directions, including collaboration with start-ups, understanding emerging markets, and refining technological strategies. The review aims to organize fragmented literature and guide both scholars and managers. |
Antonio, J.L. and Kanbach, D.K. (2023) [22] | Antonio and Kanbach (2023) [22] conduct a systematic review to identify the key contextual factors influencing disruptive innovation. They propose a framework categorizing these factors into technological, market, organizational, and institutional dimensions. Their study highlights how external and internal conditions shape the emergence and success of disruptive innovations. |
Dominant Design | |
Fernández, E. and Valle, S. (2019) [5] | Fernández and Valle (2019) [5] propose a decision-making model to establish the dominant design. Their model considers technological, market, and strategic factors that influence which design becomes dominant. |
Van de Kaa et al. (2011) [4] | Through a literature review, Van de Kaa et al. (2011) [4] identify 29 factors that influence dominant design and present a framework to address the likelihood of a format achieving dominance. |
Section A2. Additional Articles on Disruptive vs. Discontinuous Technology | |
Paper | Contribution |
Bessant, J. (2008) [36] | Bessant (2008) [36] examines how European firms handle discontinuous innovation, which involves radical technological shifts disrupting existing markets. The study highlights challenges such as organizational inertia and resistance to change, proposing strategies for firms to adapt and thrive. The author emphasizes the need for proactive learning, experimentation, and collaboration to manage disruptive transitions effectively. |
Bockmühl, S., König, A., Enders, A., Hungenberg, H. and Puck, J. (2011) [100] | Bockmühl et al. (2011) [100] investigate how incumbents respond to technological discontinuities, focusing on the intensity, timeliness, and success of their reactions. Their empirical study finds that faster and more aggressive responses increase the likelihood of maintaining a competitive edge. |
Gobble, M. (2016) [46] | Gobble (2016) [46] explores the concept of disruptive innovation, clarifying its definition and distinguishing it from other forms of innovation. The article examines how disruptive innovations start in niche markets before eventually reshaping entire industries. The study emphasizes the importance of recognizing true disruption to make informed innovation and investment decisions. |
Kilkkii, K., Mäntylä, M., Karhu, K., Hämmäinen, H. and Ailisto, H. (2018) [76] | Kilkkii et al. (2018) [76] propose a disruption framework to better understand the dynamics of technological and market disruptions. Their model categorizes disruptions based on changes in value creation, market structure, and business models. The study highlights how firms can anticipate and respond to disruptions by recognizing key signals and adapting their strategies. |
König, A., Graf-Vlachy, L and Schöberl, M. (2021) [102] | König et al. (2021) [102] replicate and extend Gilbert’s (2005) [94] study on how firms perceive and respond to discontinuous change. They examine the role of opportunity and threat perception in shaping organizational inertia and strategic adaptation. Their findings confirm that firms reacting to change as a threat often struggle with inertia, while those seeing it as an opportunity are more adaptive. |
Lepore, J. (2014) [39] | Lepore (2014) [39] critiques the widespread adoption of disruptive innovation theory, arguing that it is often misused to justify risky business decisions. She challenges Clayton Christensen’s framework, suggesting that historical examples of disruption are selectively interpreted. |
Linton, J.D. (2002) [33] | Linton (2002) [33] explores methods for forecasting the diffusion of disruptive and discontinuous innovations in the market. The study highlights the limitations of traditional diffusion models and proposes alternative approaches to better predict adoption patterns. |
Montoya, J.S. and Kita, T. (2018) [49] | Montoya and Kita (2018) [49] analyze how exponential growth in product performance impacts the theory of disruptive innovation. They argue that rapid technological advancements can accelerate market shifts, challenging traditional disruption models. Their findings highlight the need to refine disruption theory to account for exponential technological progress. |
Muller, E. (2020) [65] | Muller (2020) [65] examines the concept of disruption by comparing Uber and Airbnb, arguing that Uber aligns more closely with disruptive innovation theory. The study refines the criteria for identifying true disruptive innovations. |
Park, C. (2018) [71] | Park (2018) [71] explores how incumbents can act as disruptors by leveraging disruptive strategies in the high-performance and low-cost CPU and foundry markets. The author examines cases where incumbents drive disruption through aggressive innovation, cost reduction, and business model shifts. The study challenges the traditional view that disruption mainly comes from new entrants, showing how incumbents can reshape industries. |
Ritala, P., Huotari, P. and Kryzhanivska, K. (2022) [45] | Ritala et al. (2022) [45] analyze how S&P 500 firms communicate about disruption and integrate it into their strategies. The study examines the language, framing, and strategic positioning of disruption in corporate reports and public statements. It finds that firms use disruption talk both as a defensive measure and as a way to signal innovation leadership. |
Section A3. Additional Articles on Dominant Design | |
Paper | Contribution |
Brem, A. and Nylund, P. (2022) [110] | Brem and Nylund (2021) [110] conceptualize ‘standard inertia’—factors impeding the emergence of new standards—and examine how dominant designs can embed subsets of underlying designs, potentially affecting entire technology ecosystems. |
Chen, P., Williams, C. and Agarwal, R. (2012) [90] | In this study, Chen et al. (2012) [90] explore the challenges firms face as they transition from new entrants to incumbents. They highlight how pre-entry experiences influence a firm’s ability to adapt and succeed in evolving markets, particularly when confronted with disruptive innovations. |
Ferràs-Hernández, X., Nylund, P. A. and Brem, A. (2023) [87] | Ferràs-Hernández et al. (2023) [87] explore the emergence of dominant designs in artificial intelligence (AI) and how industry standards evolve in this rapidly changing field. The study examines the competition between different AI technologies, highlighting factors that influence the establishment of a dominant design, such as technological performance, market adoption, and regulatory forces. |
Khanagha, S., Ramezanzadeh, M.T., Mihalache, O.R. and Volberda, H.W. (2018) [66] | Khanagha et al. (2018) [66] examine how firms respond to technological disruption in heterogeneous market environments, where uncertainty and complexity are high. They introduce the concept of “embracing bewilderment” which highlights how organizations can leverage ambiguity as a strategic advantage rather than a barrier. The study finds that successful firms adopt adaptive learning, experimentation, and flexible decision-making to navigate disruption. |
Nylund, P. A., Brem, A., and Agarwal, N. (2022) [1] | Nylund et al. (2022) [1] explore how enabling technologies contribute to mitigating climate change by shaping dominant designs in environmental innovation ecosystems. The study highlights that technological standardization and industry-wide adoption are crucial for scaling sustainable innovations. It examines factors that drive the emergence of dominant designs, such as policy support, market demand, and collaborative innovation efforts. |
Suarez, F.F. and Utterback, J.M. (1995) [86] | Suarez and Utterback (1995) [86] analyze how the emergence of a dominant design in an industry influences firm survival, benefiting those that adopt it while marginalizing others. Their study highlights that market entry timing and adaptability are key factors for long-term competitiveness. |
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Current Competition | Introduction of a Sustainable Emerging Technology (SET) | |||||
---|---|---|---|---|---|---|
Contenders | Incumbents | SET Pioneers | ||||
Technology | Current dominant design | Discontinuous SET | Disruptive SET | |||
Potential disruptive SET | Disruptive SET | |||||
Market | Mainstream market | Mainstream market | New market (niche) Low-end market High-end market Developing country market Mainstream market | Mainstream market | ||
Basis for competition | Order-winning criterion | Drastic order-of-magnitude increase in the order-winning criterion | Order-winning criterion | Order-qualifying criterion on mainstream market: New order-winning criterion | ||
Competence-enhancing technology | Competence-enhancing/destroying technology | Competence-destroying technology |
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Fernández, E.; Valle, S.; Pérez-Bustamante, G. Sustainable Emerging Technologies: Battle for Dominant Design. Sustainability 2025, 17, 4285. https://doi.org/10.3390/su17104285
Fernández E, Valle S, Pérez-Bustamante G. Sustainable Emerging Technologies: Battle for Dominant Design. Sustainability. 2025; 17(10):4285. https://doi.org/10.3390/su17104285
Chicago/Turabian StyleFernández, Esteban, Sandra Valle, and Guillermo Pérez-Bustamante. 2025. "Sustainable Emerging Technologies: Battle for Dominant Design" Sustainability 17, no. 10: 4285. https://doi.org/10.3390/su17104285
APA StyleFernández, E., Valle, S., & Pérez-Bustamante, G. (2025). Sustainable Emerging Technologies: Battle for Dominant Design. Sustainability, 17(10), 4285. https://doi.org/10.3390/su17104285