Entrepreneurial barriers in achieving sustainable business and cultivation of innovation: a resource-based view theory perspective
Abstract
Purpose: The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs. Design/methodology/approach: The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship. Findings: The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation. Originality/value: The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.
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RBV's static nature limits its explanatory power in fast-evolving technological environments such as AI.
“However, RBV's static nature limits its explanatory power in fast-evolving technological environments such as AI (Agrawal et al., 2024; Eisenhardt & Martin, 2017).”
From Artificial Intelligence Adoption for Sustainable Development in SMEs: Challenges, Strategic Pathways, and Lessons for Developing Economies (2026) · cites this paper as Agrawal et al., 2024
Section 2.1 (p. 4) says RBV emphasizes adapting and scaling resources in response to changing environmental conditions, contrary to the claim that the paper characterizes RBV as static. The theoretical implications (p. 19) present the findings as reinforcing RBV’s usefulness for understanding adaptation and innovation; the paper does not identify AI as a setting where RBV loses explanatory power. (LLM, conf=0.81)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThis AI capability aligns with the DC framework, emphasizing SMEs' need to sense, seize, and reconfigure resources in rapidly evolving markets.
“This capability aligns with the DC framework, emphasizing SMEs' need to sense, seize, and reconfigure resources in rapidly evolving markets (Agrawal et al., 2024; Eisenhardt & Martin, 2017; Perifanis & Kitsios, 2023).”
From Artificial Intelligence Adoption for Sustainable Development in SMEs: Challenges, Strategic Pathways, and Lessons for Developing Economies (2026) · cites this paper as Agrawal et al., 2024
The Theoretical underpinning (p. 4) says businesses need to adapt and scale their resources as conditions change, which supports the general point about responding to evolving markets. It frames this as resource-based view theory, however, and does not establish the specific dynamic-capabilities framework of sensing, seizing, and reconfiguring, or connect that framework to AI capability in SMEs. (LLM, conf=0.84)
Experimental — accuracy not yet measured
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- Authors
- Agrawal, R., Samadhiya, A., Banaitis, A., & Kumar, A.
- Affiliations
- Indian Institute of Management Bodh Gaya (IN)
- O. P. Jindal Global University (IN)
- Vilnius Gediminas Technical University (LT)
- Corresponding author
- Banaitis, Audrius
- Venue
- Management Decision
- Publisher
- Emerald
- Published
- 2024-02-27
- ISSN
- 0025-1747 (ISSN-L)
- OpenAlex
- W4392157289
- Cited by
- 56
- References
- 89
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 11
- FWCI
- 24.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Management Decision (publishedVersion)
- London Met Repository (London Metropolitan University) (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Innovation
- Keywords
- barriers to entrepreneurship, sustainable business, innovation, resource-based view, dynamic capabilities, resource constraints, financial constraints, regulatory obstacles, mentoring, scalability, risk aversion, competitive advantage
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