Developing and validating an innovation drivers' measurement instrument in the agri-food sector

Bibliographic Data

ID21294931
AuthorsDimitrios Kafetzopoulos (0000-0002-0081-9409, University of Macedonia Department of Business Administration, , Thessaloniki), Fotios Vouzas (0000-0002-6899-6858, University of Macedonia Department of Business Administration, , Thessaloniki), Dimitrios Skalkos (University of the Aegean Department of Food Science and Nutrition, School of the Environment, , Lemnos), Dimitris Skalkos (0000-0002-7771-2845, University of the Aegean)
Year2020
Volume122
Issue4
Pages1199-1214
Publication date2020-03-31
Open AccessNo
TypeARTICLE
VenueBritish Food Journal (JOURNAL)
Journal identifiersISSN: 0007-070X • E-ISSN: 1758-4108
PublisherEmerald (PUBLISHER)
DOI10.1108/bfj-09-2019-0721
OpenAlexW3008615832
LanguageEN
Citations received6
References cited55

Purpose The purpose of this paper is to develop an instrument that measures a set of dynamic drivers for managing innovation capability; and to validate this instrument in the agri-food sector. Design/methodology/approach Based on the innovation drivers identified after an extensive literature review, a measurement instrument was developed and then empirically validated through collecting preliminary data from 434 Greek agri-food companies. Exploratory factor analysis was applied, while their validity was confirmed through confirmatory factor analysis. Findings The analysis of the data confirms a valid measurement instrument of innovation drivers which consists of five drivers, namely, collaboration, environmental dynamism, knowledge orientation, quality orientation, and process management. The level of the five innovation drivers by the sample companies is deemed high, though not, however, excellent. Research limitations/implications A research challenge is to understand how the five innovation drivers are associated with agri-food business performance taking into consideration the role of environmental uncertainty. Moreover, it is worth validating this measurement instrument using multiple indicators for innovation drivers. Practical implications The main contribution of this paper is that it develops a valid measurement instrument that can be used by agri-food companies as a self-assessment tool and a benchmarking tool. In doing so, suitable strategies can be selected in order for an agri-food to improve its innovation capability. Originality/value The proposed model provides plausible guidelines that advance innovation management research in the agri-food companies

Agriculture · Benchmarking · Business · Confirmatory factor analysis · Creativity · Dynamism · Exploratory factor analysis · Food sector · Knowledge management · Order (exchange) · Originality · Process (computing) · Process management · Quality (philosophy) · Sample (material) · Set (abstract data type) · Computer Science · Entrepreneurship Studies and Influences · Environmental Sustainability in Business · Marketing · Organic Food and Agriculture

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