Determinants of ICT innovation and imitation in the agrifood sector

Abstract

Diffusion of innovations has gained a lot of attention and concerns different scientific fields. Many studies, which examine the determining factors of technological innovations in the agricultural and agrifood sector, have been conducted assuming the widely-used Technology Accepted Model (TAM), for a random sample of farmers or firms in agricultural sector. In the present study, a holistic examination of the determining factors that affect the propensity of firms to innovate or imitate, is conducted. The diffusion of ICT tools of firms which are engaged in the NACE 02/03 as well as in the NACE 10/11 classifications for 49 heterogeneous national markets is examined, using the Bass model. The innovation parameter is positively associated with rural income, female employment, export activity and education of farmers, while the imitation parameter is increased in societies with large uncertainty avoidance.

Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Aston University (General)
Additional Information: Proceedings of the 8th International Conference of Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2017) Chania, Greece, 21-24 September, 2017. Funding: CAPSELLA H2020 EU Project (Grant Agreement Number 688813).
Uncontrolled Keywords: Agrifood sector,Bass model,Beta - Regression,Diffusion of ICT,Innovation/Imitation,General Computer Science
Publication ISSN: 1613-0073
Last Modified: 17 Dec 2024 08:13
Date Deposited: 25 Jan 2018 11:25
Full Text Link: http://hania.ne ... -2017-final.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://ceur-ws.org/Vol-2030/ (Organisation URL)
PURE Output Type: Article
Published Date: 2017-12-17
Published Online Date: 2017-12-17
Accepted Date: 2017-09-24
Authors: Petridis, Nikolaos E.
Digkas, Georgios
Anastasakis, Leonidas (ORCID Profile 0000-0003-2879-6613)

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