Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data

© 2020, Emerald Publishing Limited. Purpose: This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model. Design/methodology/approach: This study proposes the use of the fuzzy Delphi method to screen for the less importa...

Full description

Saved in:
Bibliographic Details
Main Authors: Tseng, Ming Lang, Chen, Chih Cheng, Wu, Kuo Jui, Tan, Raymond Girard R.
Format: text
Published: Animo Repository 2020
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1020
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2019/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-2019
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-20192022-08-09T05:52:55Z Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data Tseng, Ming Lang Chen, Chih Cheng Wu, Kuo Jui Tan, Raymond Girard R. © 2020, Emerald Publishing Limited. Purpose: This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model. Design/methodology/approach: This study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysis Findings: The findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed. Research limitations/implications: The eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model. Practical implications: The eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination. Originality/value: Prior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability. 2020-05-18T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1020 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2019/type/native/viewcontent Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description © 2020, Emerald Publishing Limited. Purpose: This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model. Design/methodology/approach: This study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysis Findings: The findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed. Research limitations/implications: The eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model. Practical implications: The eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination. Originality/value: Prior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability.
format text
author Tseng, Ming Lang
Chen, Chih Cheng
Wu, Kuo Jui
Tan, Raymond Girard R.
spellingShingle Tseng, Ming Lang
Chen, Chih Cheng
Wu, Kuo Jui
Tan, Raymond Girard R.
Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
author_facet Tseng, Ming Lang
Chen, Chih Cheng
Wu, Kuo Jui
Tan, Raymond Girard R.
author_sort Tseng, Ming Lang
title Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
title_short Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
title_full Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
title_fullStr Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
title_full_unstemmed Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
title_sort eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data
publisher Animo Repository
publishDate 2020
url https://animorepository.dlsu.edu.ph/faculty_research/1020
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2019/type/native/viewcontent
_version_ 1740844748949684224