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Technology Management for Sustainable Production and Logistics pp 173–192Cite as

Identifying Relationships Between Eco-innovation and Product Success

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Part of the book series: EcoProduction ((ECOPROD))

Abstract

This chapter is concerned with the study of success factor identification in eco-innovation. Critical success factors are identified on the basis of Enterprise Resource Planning (ERP) database and questionnaires concerning the implementation of eco-innovation. The model of measuring eco-innovation includes indicators connected with fields such as research and development, production, logistics, sales and marketing, as well as eco-innovation implementation that consists of eco-organization, eco-process, and eco-product. The proposed methodology enables the merger of objective indices and subjective judgments with the use of fuzzy logic. In order to identify the relationships between product success and project environment variables, artificial neural networks are used. The proposed approach enables the identification of factors that significantly impact product success. The relationships sought can be further used to forecast the success of a new product that is in the development process and propose changes in the project variables that can increase the chance to develop a successful product.

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Authors and Affiliations

  1. Faculty of Economics and Management, University of Zielona Góra, Licealna 9, 65-417, Zielona Góra, Poland

    Marcin Relich

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  1. Marcin Relich
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Correspondence to Marcin Relich .

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Editors and Affiliations

  1. Engineering Management, Poznan University of Technology, Poznan, Poland

    Paulina Golińska

  2. Logistics and Transport, Poznan University of Economics, Poznan, Poland

    Arkadiusz Kawa

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Relich, M. (2015). Identifying Relationships Between Eco-innovation and Product Success. In: Golińska, P., Kawa, A. (eds) Technology Management for Sustainable Production and Logistics. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33935-6_9

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