A Predictive Model of Innovation in Rural Entrepreneurship

Harpa, Elena; Moica, Sorina; Rus, Dana

doi:10.1016/j.protcy.2015.02.067

Cited by 14 publications

(5 citation statements)

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“…Já quando se fala de empreendedorismo rural se observa que este é baseado em laços familiares, tem uma forte ligação com a comunidade e que gera relativamente um alto impacto na comunidade local (Elena, Sorina & Rus, 2015).…”

Section: O Empreendedorismo E O Papel Das Incubadorasunclassified

“…Estudos demonstram que a inovação se mostra importante para manter empresas em áreas rurais competitivas e garantir sua sobrevivência, principalmente em médias e pequenas economias. Porém a introdução de novos cultivos, tecnologias e processos dentro da propriedade rural oferecem algumas dificuldades (Chaves et al, 2010;Elena, Sorina & Rus, 2015).…”

Section: O Empreendedorismo E O Papel Das Incubadorasunclassified

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Desafios e Inovações em Incubadoras de Base Tecnológica do Agronegócio: Um estudo de caso da Ineagro

Alves

Conejero

César

2019

RSD

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This is a case study research applied to Ineagro, a technology-based incubator for agribusiness enterprises at the Federal Rural University of Rio de Janeiro. The study aimed to verify the companies incubated and graduated by Ineagro. An interview was also held with the project coordinator of the incubator with the objective of understanding the work of Ineagro in the promotion of agribusiness startups and the challenges and innovations of the incubator. By means of the results it was possible to identify the areas of activity of the incubated companies and to perceive the main challenges and projects of the incubator. It was also possible to understand some aspects of the relationship between the incubator and the university where some difficulties were observed. In addition, companies with a consistent technological base were found, demonstrating the potential of the incubator located on the campus of a university of importance in the agribusiness research scenario and close to two research centers, Pesagro and Embrapa.

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Section: O Empreendedorismo E O Papel Das Incubadorasunclassified

Desafios e Inovações em Incubadoras de Base Tecnológica do Agronegócio: Um estudo de caso da Ineagro

Alves

Conejero

César

2019

RSD

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“…Hayter (2015) In the vein of SBs' success, there is a great body of studies on what factors influence their success. For instance, Elena, Sorina and Rus (2015) broke success drivers for entrepreneurship innovation down to four categories: entrepreneur features; internal features of the company; external features of the company; and location (see Table 2). While Elena, Sorina and Rus (2015) enumerated various factors contributing to TBSBs' success, other studies focused on either internal or external factors while controlling for other factors.…”

Section: Research Hypothesesmentioning

confidence: 99%

“…For instance, Elena, Sorina and Rus (2015) broke success drivers for entrepreneurship innovation down to four categories: entrepreneur features; internal features of the company; external features of the company; and location (see Table 2). While Elena, Sorina and Rus (2015) enumerated various factors contributing to TBSBs' success, other studies focused on either internal or external factors while controlling for other factors. For instance, Weber and Jung (2015) and Sajilan, Hadi and Tehseen (2015) emphasized internal factors such as entrepreneur's demographic characteristics (e.g., age and gender), personal characteristics (e.g., need for achievement, need for cognition and internal locus of control), educational interdisciplinarity, prior experience in industry and entrepreneurship.…”

Section: Research Hypothesesmentioning

confidence: 99%

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

Ryu

2017

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For more information on this publication, visit http://www.rand.org/pubs/rgs_dissertations/RGSD405.html Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2017 RAND Corporation R® is a registered trademark Limited Print and Electronic Distribution RightsThis document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org iii AbstractThe objective of this dissertation is to better understand the contextual effects on the success of the transition of technologies generated through the U.S. Department of Defense (DOD) Small Business Innovation Research (SBIR) program, and to pull out policy recommendations for facilitating the way the SBIR transitions technologies from abstract concepts to concrete engineering capabilities that the U.S. can use in its military systems. To that end, I explore how social (network), spatial (region), and industrial (technology) factors affect the SBIR's ability to do this. Specifically, I examine the contextual effects of network, regional, and industrial characteristics on the success of technology transition using various regression models. To incorporate multilevel factors, in particular, I employ hierarchical linear models with firm-and region/ industry-level variables related to state-level innovation capacity, anchor tenants, innovation brokers, technology life cycle, technology market, technological and network positions of SBIR awardees in relation to the DOD (including its research laboratories) and prime contractors.Findings of this dissertation include: small firms' larger SBIR awards, higher age, more cutting-edge technology or high-tech focus are more likely to lead to success in technology transition; small firms' higher technological distance (in particular, relative to prime contractors) and more central network position are more likely to facilitate technology transition; the number of defense labs in a state may matter in small firms' winning federal procurement contracts and improving their return on investment; the number of DOD mentors (i.e., large prime contractors who signed up for mentoring small busin...

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“…The entrepreneurs in rural areas play an important role in the overall economic development of the country. Rural entrepreneurship adds value to rural resources in remote areas by engaging local human resources, using locally available resources, fuelling the rural industrialization process and reducing disparity (Elena et al , 2015; Emran et al , 2019). There is an enormous difference between the urban and rural areas in terms of income sources, infrastructure and way of living, which may be significantly managed by promoting rural entrepreneurship (Ghosh, 2017; Kundu et al , 2017).…”

Section: Introductionmentioning

confidence: 99%

Factors affecting entrepreneurial intention among the rural population in India

Ali

Burhan

Jabeen

2022

EBR

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Purpose This paper aims at examining the factors affecting entrepreneurial intention (EI) among the rural adult population in India using the social cognitive theory (SCT). Design/methodology/approach This study is based on the Adult Population Survey of the Global Entrepreneurship Monitor of 2017, covering 1,397 rural respondents from India. The data has been analysed using simple techniques such as Chi-square statistics, correlation and logistics regression. Findings About 16% of the rural adults have reported EI in India. A significant relationship emerged between the demographics of rural adults with and without intention towards entrepreneurship. Finally, the regression model representing two components of the SCT, that is, confidence towards entrepreneurship and outcome expectations from entrepreneurship, showed a significant impact on EI among the rural population when controlled by family size and working status. Practical implications This paper provides insights on factors affecting EI among rural adults, which can help in developing a policy framework for promoting new ventures among rural entrepreneurs. The result of the analysis indicates that the rural population need to be imparted the necessary skills to gain confidence in entrepreneurship, which should be aligned with the outcome expectations of the entrepreneurs. Originality/value This piece of research can be valuable for different stakeholders in adopting inclusive entrepreneurial initiatives. Moreover, entrepreneurship in rural areas has not gained much attention among scholars, and this study is intended to provide future research motivation.

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A Predictive Model of Innovation in Rural Entrepreneurship

Cited by 14 publications

References 5 publications

Desafios e Inovações em Incubadoras de Base Tecnológica do Agronegócio: Um estudo de caso da Ineagro

Desafios e Inovações em Incubadoras de Base Tecnológica do Agronegócio: Um estudo de caso da Ineagro

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

Factors affecting entrepreneurial intention among the rural population in India

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