A three-stage field service management model for effective post-sales service supply chain management

Author(s):  
Stephen C. Shih
2018 ◽  
Vol 11 (3) ◽  
pp. 588 ◽  
Author(s):  
Seyed Habibollah Mirghafoori ◽  
Ali Morovati Sharifabadi ◽  
Salim Karimi Takalo

Purpose: Service industry is a massive sector accounting for about two-thirds of GDP of developed economies and is the field of an intensive competition between service companies and their supply chains. As a result, service supply chain management has become a subject of growing interest to researchers and business analysts. Healthcare industry is among the largest service industries with the highest potential for improvement in sustainability performance. The purpose of this study was to identify the concepts influencing the sustainability of hospital supply chain and provide a causal model for sustainable supply chain of hospital service.Design/methodology/approach: In this study, concepts that influence the sustainability of a hospital service supply chain were identified by in-depth interviewing of 18 experts in hospitals of Kerman, Iran. Delphi method was used to reorganize the initial concepts into 15 concepts. Finally, the Intuitionistic Fuzzy Cognitive Map (IFCM) method was used to develop the causal model of sustainable supply chain management for hospital service.Findings: Delphi method was used to reorganize 68 initial concepts into 15 concepts Contains: demand management, resource and capacity management, customer relationship management, supplier relationship management, service management, information management, financial performance management, Attention to the environment, contamination, energy consumption, legal requirements, employees, community and stakeholders, social accountability and business ethics. The results indicate that service delivery management is highly central among other concepts.Originality/value: with focusing on concepts such as service management, and capacity and resources management, The sustainability of the hospital supply chain can be improved.


2014 ◽  
Author(s):  
Viviane Bonagrazia-Healey ◽  
Alain DeLeon ◽  
Hang Nguyen ◽  
Raymond Chun ◽  
David Faulk ◽  
...  

2021 ◽  
Vol 9 (2) ◽  
pp. 413-420 ◽  
Author(s):  
Zainal Abidin

The objective of this study is to analyze and review the influence of government regulations and information technology on the operational performance of local television stations in East Java with service supply chain management practices as the mediator variable and capital owner’s intervention as the moderator variable. The data of exploratory research was collected through questionnaires distributed to twenty-nine local televisions stations, selected through saturated sampling method from a population of local television stations in East Java, and was analyzed using structural equation modeling. The finding of this study reveals that government regulations and information technology significantly influence the operational performance of local television stations with service supply chain management (SCM) practices as the mediator variable, which means that better government regulations and better information technology are analogous with the importance for the improvement of local television stations operational performance. Capital owner intervention weakens service SCM practices on operating performance and has a direct and immediate effect on reducing the operational performance of local television stations. The practical implications of this study signify the understanding that service SCM practices is an important concept in enhancing the operational performance. Capital owner’s intervention weakens service SCM practices on operating performance of local television stations.


2015 ◽  
Vol 247 (3) ◽  
pp. 685-698 ◽  
Author(s):  
Yulan Wang ◽  
Stein W. Wallace ◽  
Bin Shen ◽  
Tsan-Ming Choi

Author(s):  
Surajit Bag ◽  
Neeraj Anand ◽  
Krishan Kumar Pandey

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.


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