Preprint Article Version 1 This version is not peer-reviewed

Multi-Criteria Measurement of Farming Organizations Sustainable Innovativeness: Evidence from Lithuania

Version 1 : Received: 22 July 2018 / Approved: 23 July 2018 / Online: 23 July 2018 (15:11:22 CEST)

A peer-reviewed article of this Preprint also exists.

Drejeris, R.; Miceikienė, A. Multi-Criteria Measurement of Sustainable Innovativeness in Farming Organisations: Evidence from Lithuania. Sustainability 2018, 10, 3347. Drejeris, R.; Miceikienė, A. Multi-Criteria Measurement of Sustainable Innovativeness in Farming Organisations: Evidence from Lithuania. Sustainability 2018, 10, 3347.

Journal reference: Sustainability 2018, 10, 3347
DOI: 10.3390/su10093347

Abstract

Measuring farms sustainable innovativeness is a big challenge for both practitioners and academics. The need of sustainable innovativeness assessment in the agricultural business is reasoned in the article. Unfortunately, the features of the farms sustainable innovativeness measurement have not yet been investigated, and any objective methodology for innovativeness assessment is not presented as well. The objective of this article is to find possibility of use some methodology for measuring farm sustainable innovativeness, which would allow ranking farms by this aspect. The article demonstrates the need for multi-criteria method of innovativeness measurement and substantiates the complex proportional assessment method (Copras) as the most appropriate for solution of indicated problem. The model for use of offered method is presented and the practical application of the model is submitted. The final result refuted the opinion that farm innovation depends only on the possibilities to invest funds in a certain area. Indeed, staff creativity and the position of the management regarding certain areas of business make an essential contribution to the sustainable innovativeness level in the agricultural organizations.

Subject Areas

sustainable innovativeness; multi-criteria assessment; farms, agriculture, model of measurement

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