Determinants of ICT innovation and imitation in the agrifood sector

Nikolaos E. Petridis, Georgios Digkas, Leonidas Anastasakis

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)104-115
Number of pages12
JournalCEUR Workshop Proceedings
Volume2030
Early online date17 Dec 2017
Publication statusPublished - 17 Dec 2017

Bibliographical note

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).

Keywords

  • Agrifood sector
  • Bass model
  • Beta - Regression
  • Diffusion of ICT
  • Innovation/Imitation

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