Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods

Authors

  • Ibrahim Badi Libyan Academy, Department of Mechanical Engineering, Misurata - Libya
  • L. J. Muhammad Mathematics and Computer Science Department, Federal University of Kashere, Gombe- Nigeria
  • Mansir Abubakar Department of Mathematical Sciences, Al-Qalam University, Katsina State – Nigeria
  • Mahmut Bakır Department of Aviation Management, Samsun University, Samsun - Turkey

DOI:

https://doi.org/10.31181/oresta040722060b

Keywords:

MCDM, MARCOS, FUCOM, Green innovation, performance indicators

Abstract

Due to rising environmental concerns, green innovation has become a familiar and appealing topic worldwide in recent years. In addition, population growth, globalization, urbanization, and industrialization have given rise to many problems, such as damage to the environment, the economy, and the living conditions of society. This paper aims to evaluate and prioritize aspects of green innovation, taking into account sustainability performance indicators. FUCOM-MARCOS hybrid methods were used. The experimental results of the proposed method showed that management technological innovation (C1) is the most influential part for adopting green practices in the textile industry in Nigeria. The study also showed that greening the supplier (C6) and product technology innovation (C5) are the second and third most important aspects of green innovation. Furthermore, it analyzed the sustainability performance indicators using the MARCOS method. The findings reveal that social performance (SPI-3) was the most sustainable and vital indicator in terms of green innovation practices in the textile sector in Nigeria. Sensitivity analysis was also conducted using five other methods, and the results obtained showed stability in the order of the indicators. 

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Published

2022-07-04

How to Cite

Badi, I., L. J. Muhammad, Mansir Abubakar, & Mahmut Bakır. (2022). Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods. Operational Research in Engineering Sciences: Theory and Applications, 5(2), 99–116. https://doi.org/10.31181/oresta040722060b