Details

Autor(en) / Beteiligte

• Shahin, Aryana
• Imanipour, Narges
• Shahin, Arash
• Wood, Lincoln C

Titel

An integrative approach for structuring and prioritising eco-innovation determinants with a survey in knowledge-based companies

Ist Teil von

• Journal of manufacturing technology management, 2020-05, Vol.31 (4), p.799-824

Ort / Verlag

Bradford: Emerald Publishing Limited

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• PurposeThis study aims to develop a comprehensive set of determinants and sub-determinant of eco-innovation (EI) and to propose an approach for their structuring and prioritisation.Design/methodology/approachA framework was developed based on a literature review, interpretive structural modelling (ISM) was used to structure the main determinants and the results were transferred into a six-phase quality function deployment (QFD) for prioritising the sub-determinants. The statistical population included 15 experts and the middle/top managers of 130 knowledge-based companies.FindingsBased on the results of the driving power and dependence diagram from the ISM, a seven-level classification of the main determinants has been used. The QFD results indicated ‘meeting environmental law standards’; ‘scale to support innovative strategies’; ‘commitment to continually improve and make eco-innovations’; ‘technological advisory oriented to environment’; ‘product and process EI oriented methods’; ‘improvements in energy efficiency across the company and the market’ and ‘reputation, brand image, and profit margin’ as the priorities of the sub-determinants of eco-innovation in the phases of the developed QFD.Practical implicationsThe findings of this study provide evidence of the usefulness of decision-making approaches such as ISM and QFD in resolving environmental problems, which is helpful to analysts and practitioners in the field of EI.Originality/valueThe novel ISM+EID2 approach proposed distinguishes this study from previous studies. The approach allows elaboration on the model presented by de Pacheco et al. (2017) by adding nine empirically derived sub-determinants.