Factors affecting innovation and imitation of ICT in the agrifood sector
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Factors affecting innovation and imitation of ICT in the agrifood sector Nikolaos E. Petridis1 · Georgios Digkas2 · Leonidas Anastasakis1
© The Author(s) 2018
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 using the widely used Technology Accepted Model, for a random sample of farmers or firms engaged 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 countries whose societies are characterized by uncertainty avoidance. Keywords Diffusion of ICT · Agrifood sector · Bass model · Innovation/imitation · Beta-regression
1 Introduction The adoption of technological innovation by firms in the agricultural and food sector is not new and inevitably has gained a lot of importance, due to the fact that technological updates
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Nikolaos E. Petridis [email protected] Georgios Digkas [email protected] Leonidas Anastasakis [email protected]
1
Operations and Information Management, Aston Business School, Aston University, Birmingham B4 7ET, UK
2
Department of Mathematics and Computing Science, University of Groningen, 9700 AB Groningen, The Netherlands
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Ann Oper Res
contribute in the increase of production, employment and eventually income (Feder et al. 1985). Other scholars argue that an increase in growth productivity of the agricultural sector may cause a de—agriculturalization and therefore a decline of the employment in agriculture (Üngör 2013). Many related studies have investigated the adoption of ICT tools in the agrifood sector in specific countries using questionnaires (e.g. Domenech et al. 2014; Batterink et al. 2006; Mondal and Basu 2009). The majority of the papers published (e.g. Aubert et al. 2012; Adrian et al. 2005; Ghadim and Pannell 1999), examine the effect of Rogers’ (1995) or Technology Acceptance Model’s (TAM) (Davis et al. 1989) dimensions, regarding compatibility, relative advantage, perceived usefulness, perceived risk and others dimensions on the adoption of innovation in the agricultural sector. Several studies examined the adoption as well as the diffusion of innovative applications in the agricultural sector, mostly conducted by rural sociologists. In specific, Gilmore and Rogers (1958), studied the diffusion pattern of hybrid corn in Iowa, comparing results with other countries. In addition, rural sociology made a great impact by identifying the economic and social characteristics which adopter catego
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