A hybrid fuzzy MCDM approach for prioritizing the solutions of resource recovery business model adoption to overcome its barriers in emerging economies


Zolfani S. H., Görener A., Toker K.

JOURNAL OF CLEANER PRODUCTION, sa.Pre-proof, ss.1-55, 2023 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.jclepro.2023.137362
  • Dergi Adı: JOURNAL OF CLEANER PRODUCTION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Business Source Elite, Business Source Premier, CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-55
  • Bezmiâlem Vakıf Üniversitesi Adresli: Evet

Özet

The resource recovery business model (RRBM) involves producing and utilizing secondary

raw materials from waste streams. Overcoming the barriers small and medium-sized firms

(SMEs) face in developing countries during the transition to the RRBM is a considerable

challenge. RRBM has quite different barriers than other circular economy business models

(e.g., product life extension, product-service systems, etc.). The aim of this study is to present

a hybrid multi-criteria decision-making (MCDM) methodology to evaluate possible solution

strategies by analyzing RRBM barriers. First, a comprehensive literature review was

conducted on the barriers to implementing RRBM. Working with the expert decision-making

group through semi-structured forms, the micro, macro, and Meso-level barriers were

finalized by considering the emerging economies. The importance levels of the twenty-five

barriers were determined in the second stage using the Improved Fuzzy Stepwise Weight

Assessment Ratio Analysis (IMF-SWARA) method. With the IMF-SWARA method, it was

convenient to get straightforward, expert opinions, and inconsistency was no problem. In the

third stage, eight main solution strategies were analyzed to see to what extent they could

overcome the barriers. At this point, the Fuzzy Measurement Alternatives and Ranking

according to Compromise Solution (F-MARCOS) was used to evaluate the decision-maker’s

opinions more accurately, which may not be confident within the scope of the criteria. While

the most critical barriers to be considered are collaboration problems, global secondary

material supply chain problems, and quality problems of the recovered resources, the

solutions to be considered are financial support, design for circularity, and industrial

symbiosis. In addition, a comprehensive sensitivity analysis was performed to test its validity

after the proposed model was applied. This study’s key contribution is to highlight the

barriers that may occur in the context of emerging economies during the adoption of the

RRBM as well as the solutions that should be prioritized. Thus, it became evident which

actions SMEs, representing the most significant proportion of businesses in emerging

economies, should take to execute the resource recovery business model.

Keywords: Resource recovery business model, emerging economies, barrier&solution

analysis, IMF-SWARA, F-MARCOS, MCDM

1. Introduction

The resource recovery business model (RRBM) is a framework that aims to provide raw

materials based on multi-featured recycling rather than non-renewable natural resources

(OECD, 2018). Resource recovery focuses on the final stages of the utilization cycle, namely

the recovery of embedded materials, energy, and resources from goods that have reached the

end of their useful lives in their current application (Jensen, 2022). The OECD predicts that

the worldwide demand for materials will double by 2060, from 79 billion tonnes to 167

billion tonnes. In the following decade, global resource rivalry will intensify significantly.