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Identification of Technology Assessment Indicators: In SMEs of Renewable Energy Sector

Identification of Technology Assessment Indicators: In SMEs of Renewable Energy Sector

Mahshid Ebrahimi
Copyright: © 2019 |Pages: 28
ISBN13: 9781522570868|ISBN10: 1522570861|ISBN13 Softcover: 9781522587071|EISBN13: 9781522570875
DOI: 10.4018/978-1-5225-7086-8.ch004
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MLA

Ebrahimi, Mahshid. "Identification of Technology Assessment Indicators: In SMEs of Renewable Energy Sector." Private Sector Innovations and Technological Growth in the MENA Region, edited by Maryam Ebrahimi, IGI Global, 2019, pp. 63-90. https://doi.org/10.4018/978-1-5225-7086-8.ch004

APA

Ebrahimi, M. (2019). Identification of Technology Assessment Indicators: In SMEs of Renewable Energy Sector. In M. Ebrahimi (Ed.), Private Sector Innovations and Technological Growth in the MENA Region (pp. 63-90). IGI Global. https://doi.org/10.4018/978-1-5225-7086-8.ch004

Chicago

Ebrahimi, Mahshid. "Identification of Technology Assessment Indicators: In SMEs of Renewable Energy Sector." In Private Sector Innovations and Technological Growth in the MENA Region, edited by Maryam Ebrahimi, 63-90. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7086-8.ch004

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Abstract

This chapter aims to describe technology assessment (TA) indicators in Iranian small and medium-sized enterprises operating in the renewable energy sector based on the available literature and expert viewpoints. For this purpose, data were collected from 234 participants by simple random sampling method. This study also determines the difference in viewpoints of technology manufacturers and technology suppliers in case of TA factors and sub-factors, sustainability, and technological capability and attractiveness. Data is analyzed through Cronbach's alpha, confirmatory factor analysis, descriptive methods, and non-parametric two independent sample tests. The results are comprehensive TA indicators that comply with the conditions under study that can be applied to the rational and structured analysis of potential and existing technologies and provide decision makers with information on technology strategy planning.

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