Entrepreneurship and Disruptive Technologies: Embracing Innovation

A Special Issue of Administrative Sciences (ISSN 2076-3387) belonging to the section "International Entrepreneurship".

Deadline for manuscript submissions: 4 October 2026 | Viewed by 1567

Editors


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Guest Editor
Department of Management & Entrepreneurship, Tommy and Victoria Baker School of Business, The Citadel, Charleston, SC 29409, USA
Interests: trust in technology; strategic management

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Guest Editor
College of Business & Industry, Jacksonville State University, Jacksonville, AL 36265, USA
Interests: entrepreneurial innovation; experiential entrepreneurial education; entrepreneurial exit strategies

Special Issue Information

Dear Colleagues,

The editorial team invites scholars to submit manuscripts for a Special Issue, "Entrepreneurship and Disruptive Technologies: Embracing Innovation," which explores the dynamic relationship between entrepreneurship, emerging technologies, and innovation.

The fast emergence of disruptive technologies—including artificial intelligence (AI), blockchain, robotics, Internet of Things (IoT), extended reality (XR), and advanced data analytics—is fundamentally transforming entrepreneurial activities. These technologies alter how opportunities are identified, evaluated, and exploited, and they challenge established business models, organizational practices, and competitive dynamics. Entrepreneurs and entrepreneurial organizations are not only adopting these technologies but also creating new innovation ecosystems.

Despite growing scholarly interest, significant gaps remain in our understanding of how disruptive technologies interact with entrepreneurial processes, decision-making, and organizational outcomes.

This Special Issue, “Entrepreneurship and Disruptive Technologies: Embracing Innovation,” aims to encourage research that achieves the following goals:

  • Advances theoretical understanding of how disruptive technologies reshape entrepreneurial cognition, opportunity recognition, and innovation processes.
  • Explores new business models and strategies enabled by disruptive technologies, including platform-based and data-driven approaches.
  • Examines organizational capabilities required for technology-led entrepreneurship and digital transformation in new ventures.
  • Investigates ethical, societal, and regulatory issues stemming from entrepreneurial use of disruptive technologies.
  • Encourages multidisciplinary and methodologically diverse research, reflecting the complex nature of technological disruption.

Examples of research questions include, but are not limited to, the following:

  • How do entrepreneurs use AI tools to enhance or automate opportunity recognition?
  • How can disruptive technologies be used to determine venture feasibility?
  • What new forms of venture creation and competitive advantage emerge from disruptive technologies?
  • How do startups develop resilience and adaptability during technological disruption?
  • In what ways can disruptive technologies democratize or restrict entrepreneurial access and success?
  • How do ethical and regulatory constraints shape entrepreneurial experimentation with emerging technologies?
  • How do dynamic capabilities evolve in data-intensive or automation-driven entrepreneurial environments?

The Special Issue welcomes a diverse set of scholarly approaches, including quantitative studies (large datasets, experiments, surveys, and analytics), qualitative research (case studies, interviews, and ethnographies), mixed-methods designs, conceptual or theory-building articles, systematic literature reviews and meta-analyses, and practice-oriented studies that provide actionable insights for entrepreneurs and policymakers.

Dr. Antonina Bauman
Dr. Carol Heitman-Lucy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Administrative Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • AI
  • entrepreneurship
  • innovation
  • disruptive technologies
  • creative environments

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Published Papers (2 papers)

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Research

34 pages, 6333 KB  
Article
Benchmarking and Designing AI-Native Entrepreneurship Ecosystems: Switzerland and Jordan as a Case Study
by Mwaffaq Otoom and Mahmoud Al-Kilani
Adm. Sci. 2026, 16(8), 390; https://doi.org/10.3390/admsci16080390 - 13 Aug 2026
Viewed by 494
Abstract
AI is currently shaping how people are being entrepreneurial by allowing the establishment of AI-native ventures. The creation of these new types of businesses builds off an infrastructure of data, computing power, and research that typically accompany advanced economies. In contrast, most developing [...] Read more.
AI is currently shaping how people are being entrepreneurial by allowing the establishment of AI-native ventures. The creation of these new types of businesses builds off an infrastructure of data, computing power, and research that typically accompany advanced economies. In contrast, most developing economies are still experiencing institutional and structural barriers that inhibit the formation of new ventures and their subsequent growth. Despite the existence of research that explores some of the ways in which successful ecosystems from developed economies could be applied to developing ecosystems, there is little guidance on how to systematically adapt these successful practices in resource-constrained environments. This research uses a comparative, document-based study design to assess how to benchmark and configure AI-native entrepreneurship ecosystems across heterogeneous institutional environments. Using Switzerland and Jordan as two contrasting analytical cases, we define twelve dimensions of an ecosystem and then create comparative ecosystem profiles using a standardized coding and scoring framework. We combine dimension-level data on talent development, applied research, infrastructure, financing, governance and market access with baseline socio-economic indicators. Our results demonstrate a high level of structural asymmetry between the two ecosystems. Switzerland has a balanced and highly coordinated configuration, whereas there is a strong university anchor and demand for talent in Jordan, but there are also significant weaknesses in terms of infrastructure, financing, and industry linkages. Building from these results, we present the parameter re-weighting and the context-sensitive design model to encourage the emergence of AI-native entrepreneurship in Jordan through coordinated architecture, collaborative experimentation resources and internationalization at an early stage. This article advances both the fields of entrepreneurial ecosystems and digital entrepreneurship by framing AI-native entrepreneurship as a new form of knowledge-intensive venture creation and providing a context-sensitive approach for adapting entrepreneurial ecosystems. The results provide a document-informed basis for policymakers, academic institutions and other ecosystem actors seeking to develop AI-based innovation in resource-constrained economies. Full article
(This article belongs to the Special Issue Entrepreneurship and Disruptive Technologies: Embracing Innovation)
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27 pages, 668 KB  
Article
Understanding the Collaboration Paradox in Emerging Innovation Ecosystems: Evidence from a Brazilian Agroindustrial Region
by Michele Cristina da Silva Villas Boas, Ítalo José Bastos Guimarães, Omar Ouro-Salim, Jean Marc Nacife, Tânia Márcia de Freitas and Jesiel Souza Silva
Adm. Sci. 2026, 16(8), 354; https://doi.org/10.3390/admsci16080354 - 23 Jul 2026
Viewed by 465
Abstract
Innovation ecosystems are recognized as drivers of regional development and technological transformation, yet empirical studies remain concentrated in metropolitan areas, limiting the understanding of emerging agroindustrial territories. This study examines the innovation ecosystem of Rio Verde (Brazil), highlighting how structural configurations and functional [...] Read more.
Innovation ecosystems are recognized as drivers of regional development and technological transformation, yet empirical studies remain concentrated in metropolitan areas, limiting the understanding of emerging agroindustrial territories. This study examines the innovation ecosystem of Rio Verde (Brazil), highlighting how structural configurations and functional asymmetries influence collaboration and distributed innovation outcomes. Grounded in the Regional Innovation System perspective and the Six-Helix model, an exploratory survey was conducted with 41 actors through a digital mapping platform. Results reveal institutional diversity and strong willingness to collaborate, but innovation capabilities and outputs remain concentrated in a few central organizations, while funding and coordination mechanisms are weak. The study refines the concept of the collaboration paradox—high engagement without broad diffusion of results—and demonstrates the methodological value of combining digital ecosystem mapping with the Six-Helix framework. Practically, it suggests that regional policies should move beyond stimulating collaboration to prioritize funding, institutional coordination, and the diffusion of innovation capabilities across emerging agroindustrial ecosystems. Full article
(This article belongs to the Special Issue Entrepreneurship and Disruptive Technologies: Embracing Innovation)
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