Identifying and prioritizing the barriers to green innovation in SMEs and the strategies to counteract the barriers: An interval-valued intuitionistic fuzzy approach

Abstract

Increasing environmental burdens and the importance of innovation in the presently competitive environment have encouraged small- and mid-size enterprises (SMEs) to adopt and implement green innovation practices. This process, however, is faced with many limitations and obstacles. The purpose of this study is to propose a framework to identify barriers to green innovation in SMEs and to provide solutions/strategies to overcome such barriers. Using the systematic literature review (SLR) method and the opinions of 20 experts, the study primarily identified 29 sub-categories of barriers falling under seven main categories including “management”, “organization”, “human resources”, “financial resources”, “external cooperation”, “customers, markets or competitors”, and “the external environment.” Similarly, 22 strategies were discovered that could help to counteract the barriers identified. To determine the weights of the barriers, the Intuitionistic Fuzzy Multiplicative Best-Worst Method (IFMBWM) was used. The strategies, too, were ranked through the Interval-Valued Intuitionistic Fuzzy MULTIMOORA (IVIF-MULTIMOORA) method. Then, a sensitivity analysis and a comparative analysis were applied to confirm the robustness of the proposed method and ensure the consistency of the obtained ranking of alternatives. As the results revealed, the optimal and effective solutions that could be used by policy-makers/managers to overcome the barriers to green innovation were “simplifying authorization and licensing procedures”, “effective environmental laws and regulations”, “shared responsibility throughout the supply chain”, “a supportive organizational culture”, and “merit-based selection of managers.”