Gonbad-e Kavus University
Abstract: (62 Views)
Introduction and Objective: The agricultural sector worldwide is facing an unprecedented and multifaceted challenge that necessitates a fundamental transformation in approaches and execution methods. Predictions indicate a significant increase in global food demand by 2050, while this vital sector, which sustains the livelihoods of billions, is under severe pressure from climate change and the degradation of natural resources. Traditional agricultural practices, with their inherent inefficiencies and environmental consequences, threaten the sustainability of food systems and rural communities. This vulnerability highlights the urgent need for innovative and sustainable solutions. In response, the concept of “Sustainable Agricultural Entrepreneurship” (SAE) has emerged as a transformative paradigm. SAE goes beyond mere production, emphasizing the management of opportunities within the value chain with a focus on balancing economic, social, and environmental aspects. Achieving SAE requires digital transformation (IoT, AI, blockchain) for enhanced productivity and a supportive ecosystem (including policies and financial structures). However, the literature reveals several gaps: a lack of integrated analysis of digital transformation and the ecosystem in sustainable competitive advantage (SCA), limited geographical focus, and insufficient attention to gender issues, where women face greater barriers. This review addresses the central question: How does the interaction between digital transformation and the entrepreneurial ecosystem shape pathways to SCA for agricultural entrepreneurs, considering gender dimensions? The sub-objectives include (1) identifying technologies and their impacts on sustainability; (2) examining the role of the ecosystem; and (3) developing a conceptual framework for these pathways. The innovation lies in integrating these streams and focusing on gender dimensions.
Materials and Methods: The methodology of this research is a comprehensive systematic literature review (SLR) designed and executed based on the precise framework of PRISMA guidelines. This approach was adopted to ensure transparency, repeatability, and reduction of bias in identifying and synthesizing existing evidence. The search and selection process for studies involved a thorough search across three major scientific databases: Scopus, Web of Science, and CAB Abstracts. Additional searches were conducted using Google Scholar and the snowball method. Studies published from the beginning of 2000 up to the date of the search were considered. The search strings were developed based on a combination of the key concepts of the research (sustainable agricultural entrepreneurship, digital transformation, entrepreneurial ecosystem, and sustainable competitive advantage). The screening process included the removal of duplicate entries, evaluation of titles and abstracts, and subsequently, full-text assessment by two independent researchers. The agreement coefficient between the evaluators (kappa) was 0.87 for abstracts and 0.91 for full texts, indicating high agreement. Ultimately, 60 relevant articles were selected for final synthesis. To integrate heterogeneous evidence (both quantitative and qualitative), a thematic synthesis approach was employed, and NVivo software was utilized to facilitate the coding process and organization of themes. Quality assessment was conducted using the MMAT tool, and data extraction followed a standardized form that included bibliographic information, study context, methodology, key technologies, barriers, and facilitators. The synthesis was carried out in three stages: coding, organizing descriptive themes, and developing analytical themes.
Results: Digital technologies (such as the Internet of Things and artificial intelligence) have been identified as powerful enablers for enhancing productivity and sustainability. However, their adoption faces significant barriers, including high costs, skills gaps, and lack of infrastructure. A deeper analysis revealed that sustainable competitive advantage does not arise solely from the technology itself, but from the synergy between technology, entrepreneurial capabilities (human and social capital), and a supportive ecosystem (including policies, financial institutions, and extension services). This research identifies multiple pathways to achieving sustainable competitive advantage (SCA), including technology-driven productivity pathways, ecosystem leverage pathways, and participatory models for smallholder farmers. The temporal distribution analysis of articles indicates a significant increase in research interest since 2020, with a geographical focus on Asian countries, particularly India, alongside studies from Africa and Europe. Methodologically, qualitative and quantitative studies were evenly distributed. The thematic synthesis identified five main clusters: unequal technology adoption influenced by farm scale and infrastructure; positive impacts on triple sustainability (resource consumption reduction, income increase, social empowerment) with concerns such as job displacement; predominant barriers like costs and the digital divide, which are more severe for women; facilitators including training and supportive policies; and an entrepreneurial ecosystem characterized by a lack of coordination among actors. The quantitative and qualitative results converged on the importance of the ecosystem while diverging on contextual differences. Additionally, case studies demonstrated the success of digital cooperative models in reducing risks for smallholder farmers.
Conclusion: Achieving sustainable competitive advantage in agricultural entrepreneurship requires a systemic and flexible approach, wherein digital innovation is rooted in a supportive ecosystem. This research contributes to the theoretical literature by providing an integrated conceptual framework that models these complex interactions. Practical implications for entrepreneurs include the necessity of adopting a strategic approach to technology and actively engaging with the ecosystem. For policymakers, the importance of formulating integrated policies, investing in rural infrastructure, and designing targeted supportive programs to overcome digital and gender gaps is emphasized. Digital sustainable agricultural entrepreneurship holds transformative potential for building resilient and sustainable food systems. Future research is recommended to focus on comparative studies and mixed methods to enhance generalizability. Ultimately, through coordinated efforts among stakeholders, inclusive rural development and food security can be achieved. Furthermore, the integration of emerging technologies, such as machine learning for market forecasting, can create new opportunities
Materials and Methods: The methodology of this research is a comprehensive systematic literature review (SLR) designed and executed based on the precise framework of PRISMA guidelines. This approach was adopted to ensure transparency, repeatability, and reduction of bias in identifying and synthesizing existing evidence. The search and selection process for studies involved a thorough search across three major scientific databases: Scopus, Web of Science, and CAB Abstracts. Additional searches were conducted using Google Scholar and the snowball method. Studies published from the beginning of 2000 up to the date of the search were considered. The search strings were developed based on a combination of the key concepts of the research (sustainable agricultural entrepreneurship, digital transformation, entrepreneurial ecosystem, and sustainable competitive advantage). The screening process included the removal of duplicate entries, evaluation of titles and abstracts, and subsequently, full-text assessment by two independent researchers. The agreement coefficient between the evaluators (kappa) was 0.87 for abstracts and 0.91 for full texts, indicating high agreement. Ultimately, 60 relevant articles were selected for final synthesis. To integrate heterogeneous evidence (both quantitative and qualitative), a thematic synthesis approach was employed, and NVivo software was utilized to facilitate the coding process and organization of themes. Quality assessment was conducted using the MMAT tool, and data extraction followed a standardized form that included bibliographic information, study context, methodology, key technologies, barriers, and facilitators. The synthesis was carried out in three stages: coding, organizing descriptive themes, and developing analytical themes.
Results: Digital technologies (such as the Internet of Things and artificial intelligence) have been identified as powerful enablers for enhancing productivity and sustainability. However, their adoption faces significant barriers, including high costs, skills gaps, and lack of infrastructure. A deeper analysis revealed that sustainable competitive advantage does not arise solely from the technology itself, but from the synergy between technology, entrepreneurial capabilities (human and social capital), and a supportive ecosystem (including policies, financial institutions, and extension services). This research identifies multiple pathways to achieving sustainable competitive advantage (SCA), including technology-driven productivity pathways, ecosystem leverage pathways, and participatory models for smallholder farmers. The temporal distribution analysis of articles indicates a significant increase in research interest since 2020, with a geographical focus on Asian countries, particularly India, alongside studies from Africa and Europe. Methodologically, qualitative and quantitative studies were evenly distributed. The thematic synthesis identified five main clusters: unequal technology adoption influenced by farm scale and infrastructure; positive impacts on triple sustainability (resource consumption reduction, income increase, social empowerment) with concerns such as job displacement; predominant barriers like costs and the digital divide, which are more severe for women; facilitators including training and supportive policies; and an entrepreneurial ecosystem characterized by a lack of coordination among actors. The quantitative and qualitative results converged on the importance of the ecosystem while diverging on contextual differences. Additionally, case studies demonstrated the success of digital cooperative models in reducing risks for smallholder farmers.
Conclusion: Achieving sustainable competitive advantage in agricultural entrepreneurship requires a systemic and flexible approach, wherein digital innovation is rooted in a supportive ecosystem. This research contributes to the theoretical literature by providing an integrated conceptual framework that models these complex interactions. Practical implications for entrepreneurs include the necessity of adopting a strategic approach to technology and actively engaging with the ecosystem. For policymakers, the importance of formulating integrated policies, investing in rural infrastructure, and designing targeted supportive programs to overcome digital and gender gaps is emphasized. Digital sustainable agricultural entrepreneurship holds transformative potential for building resilient and sustainable food systems. Future research is recommended to focus on comparative studies and mixed methods to enhance generalizability. Ultimately, through coordinated efforts among stakeholders, inclusive rural development and food security can be achieved. Furthermore, the integration of emerging technologies, such as machine learning for market forecasting, can create new opportunities
Keywords: Gender dimensions, blockchain, thematic synthesis, dynamic capabilities, artificial intelligence
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