Can suppliers be sustainable in construction supply chains? Evidence from a construction company using best worst approach

被引:15
作者
Singh, Arpit [1 ]
Kumar, Vimal [2 ]
Verma, Pratima [3 ]
Ramtiyal, Bharti [4 ]
机构
[1] OP Jindal Global Univ, Jindal Global Business Sch, Dept Informat Syst & Analyt, Sonipat, India
[2] Chaoyang Univ Technol, Dept Informat Management, Taichung, Taiwan
[3] Indian Inst Management Kozhikode, Dept Strateg Management, Kozhikode, India
[4] Jaipuria Inst Management Jaipur, Dept Human Resource Management, Jaipur, Rajasthan, India
关键词
Sustainability; Supplier selection; Best worst method; Construction industry; DECISION-MAKING; SELECTION; MODEL; MANAGEMENT;
D O I
10.1108/MEQ-03-2022-0057
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Purpose With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry. Design/methodology/approach In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance. Findings The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were "Usage of recyclable raw materials for production", "Adoption of clean and green technologies", "Waste management" and "Periodical environmental audits" under the environmental criteria; "Efficiency", "Cost" and "Flexibility and Scalability" from the economic criteria; and "Safety programs" and "Information disclosure" in the social criteria. Research limitations/implications The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains. Originality/value The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.
引用
收藏
页码:1129 / 1157
页数:29
相关论文
共 123 条
[1]  
Aalic I., 2020, Decision Making: Applications in Management and Engineering, V3, P126, DOI [10.31181/dmame2003114d, DOI 10.31181/DMAME2003114D]
[2]  
Abadi S. K. G., 2021, J SOCIAL MANAGEMENT, V1, P1
[3]   Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method [J].
Agrawal, Nishant .
BENCHMARKING-AN INTERNATIONAL JOURNAL, 2022, 29 (07) :2122-2146
[4]   The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach [J].
Alamroshan, Fatemeh ;
La'li, Mahyar ;
Yahyaei, Mohsen .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (05) :6793-6811
[5]   A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy [J].
Alavi, Behrouz ;
Tavana, Madjid ;
Mina, Hassan .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2021, 27 :905-920
[6]   A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection [J].
Alipour, M. ;
Hafezi, R. ;
Rani, Pratibha ;
Hafezi, Mehdi ;
Mardani, Abbas .
ENERGY, 2021, 234
[7]   Sustainable supplier selection: A ranking model based on fuzzy inference system [J].
Amindoust, Atefeh ;
Ahmed, Shamsuddin ;
Saghafinia, Ali ;
Bahreininejad, Ardeshir .
APPLIED SOFT COMPUTING, 2012, 12 (06) :1668-1677
[8]   Green supplier selection in steel door industry using fuzzy AHP and fuzzy Moora methods [J].
Arslankaya, Seher ;
Celik, Mirac Tuba .
EMERGING MATERIALS RESEARCH, 2021, 10 (04) :357-369
[9]   Key criteria for selecting green suppliers for construction projects in the UAE [J].
Asaad, AbdulRahman ;
El-Sayegh, Sameh Monir .
JOURNAL OF FINANCIAL MANAGEMENT OF PROPERTY AND CONSTRUCTION, 2021, 26 (02) :201-218
[10]   Addressing a sustainable supplier selection and order allocation problem by an integrated approach: a case of automobile manufacturing [J].
Beiki, Hossein ;
Mohammad Seyedhosseini, Seyed ;
V. Ponkratov, Vadim ;
Olegovna Zekiy, Angelina ;
Ivanov, Sergei Anatolyevich .
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2021, 38 (04) :239-253