A study of group decision-making for green technology adoption in micro and small enterprises

Abstract

Purpose Green technology adoption (GTA) in small and micro enterprises (SMEs) is a complex multi-attribute group decision-making issue. Conflicts of opinions can hamper the achievement of group coherence. The purpose of this paper is to solve the conflict decision-making problem in SMEs. Design/methodology/approach This paper reconstructs the GTA evaluation index system for SMEs and proposes an intragroup coordination relationship model to mitigate group decision-making conflicts based on the cloud model and social networks (GCS). The numerical characteristics of these GTA indicators are determined using fuzzy theory and cloud model. Findings It was found that establishing a trust relationship network and a conflict coordination relationship could improve the consistency of group decision-making. The degree of coordination has subtle differences with the trust relationship. Particularly, the coordination relationship has obvious influences on the decision-making results among small groups in SMEs. Originality/value The conflict coordination model can significantly improve the consistency of group decision-making in SMEs. At the same time, it discusses the differences between the level of conflict coordination and the trust propagation in the process of group decision-making.

Decision-making in international marketing: past, present and future

“…Potentially owing to the fact that the majority of organizations operating on the international scene are, in fact, exporting SMEs, we observe a focus on these organizations in recent research with Hauser et al . (2020), Yao et al . (2020) and Rosário et al.…”

“…Moving away from how decisions are made and toward the types of decisions made, the decision context (D-Ctx) theme is represented by 17 international marketing decision-making publications reviewed in the 2016-2021 period. The types of decisions examined include those pertaining to sales (Ameer and Halinen, 2019), industrial purchasing (Dobrucalı, 2019), the supply chain (Haines et al, 2017), joint new product and supply chain designs (Yao and Askin, 2019), green supplier selection (Yalcin and Kilic, 2019), risk management generically (Liu and Tsai, 2016) as well as within the supply chain (Singh, 2020), engineer-to-order practice (Reid et al, 2019), inventory classification (Fu et al, 2016), bank loan decisions (Wasiuzzaman and Nurdin, 2019), value co-creation in banking (Wu et al, 2019), online crowdfunding (Xiao and Yue, 2018), green technology adoption (Yao et al, 2020), new product development (Zhang et al, 2017;Wang et al, 2018), new ventures (Yang and Gabrielsson, 2017) and finally mergers and acquisitions (Uzelac et al, 2016). Strategic versus operational (SvO).…”

“…The international marketing sphere is no different. We find 3 papers devoted to group decision-making (Morita et al ., 2017; Yao et al ., 2020; Rosário et al. , 2021), and one to individual level decision-making (Xiao and Yue, 2018).…”

Diffusion Path Identification of Public Opinion Involving Enterprise Green Technology Adoption: An Interpretive-Structural-Modeling-Based Approach

“…Bharati and Chaudhury believe that the top management and consumers of an organization will have an important impact on the adoption of green technology in enterprises [ 13 ]. Yao et al took medium and micro-enterprises as their research object and concluded that, driven by market forces, the green supply chain, green practice, green consumption, and green innovation become the endogenous driving forces for SEMs to adopt green technology [ 14 ].…”

Mapping green technologies literature published between 1995 and 2019: a scientometric review from the perspective of the manufacturing industry

“…Additionally, due to a significant amount of production and industrial activities in the manufacturing sector, there is a greater need of GTs, which has motivated the researchers to discuss green issues and the prevailing trends these days. There are various studies (Bollinger 2015 ; Bressler et al 2011 ; Cohen et al 2015a ; Cohen et al 2016 ; Cunha-E-Sa and Reis 2007 ; Darko et al 2020 ; Hottenrott et al 2016 ; Isik 2004 ; Ong 2012 ; Wang et al 2020 ; Xia et al 2019 ; Yao et al 2020 ; Zailani et al 2014 ) which have discussed the different aspects of GTs adoption. Most of these studies, however, focus on the technical and operational characteristics of implementing GTs in different scenarios.…”