质量(理念)
一致性(知识库)
独创性
股东
服务(商务)
计算机科学
服务质量
过程管理
风险分析(工程)
业务
营销
人工智能
公司治理
心理学
社会心理学
哲学
认识论
财务
创造力
作者
Maryam Ebrahimi,Amir Daneshvar,Changiz Valmohammadi
出处
期刊:Journal of Economic and Administrative Sciences
[Emerald (MCB UP)]
日期:2024-01-12
被引量:3
标识
DOI:10.1108/jeas-05-2023-0114
摘要
Purpose To gain and differentiate competitive advantage, the sustainable service quality is a determining factor that railway companies can use. The purpose of this study is to identify both the importance and performance of rail transportation service quality factors in a case study as well as determine the most influential quality features. Design/methodology/approach A comprehensive approach namely importance–performance analysis (IPA) technique and decision-making trail and evaluation laboratory (DEMATEL), and interpretive structural modeling (ISM) and Matriced’ Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) techniques was utilized. Findings The relative position of each attribute is specified on the IPA matrix proposing four strategies of concentrate here, keep up the good work, low priority and possible overkill. This study reveals that attributes of “the company cares about having a good society” are the most influential factor, and “having good business relations with shareholders” is the most permeable factor. Actually, consumers pay attention to how companies act toward society and maintain communication with shareholders. Through ISM technique and by summing the row and column of the consistency matrix, the attributes were partitioned into four levels. Also, MICMAC analysis identified the four clusters of linkage, independent, autonomous and dependent status of the attributes in terms of the driving power and dependence power. Research limitations/implications Due to the nature of single case study methodology, caution should be taken into consideration regarding the generazability of the obtained results. Originality/value The hybrid DEMATEL-ISM technique is used to analyze service quality factors in Iran’s transportation industry, which can be utilized in other industries as well as other countries.
科研通智能强力驱动
Strongly Powered by AbleSci AI