文章基本信息

标题：A MODEL FOR CORPORATE SOCIAL RESPONSIBILITY RANKING ON IRON ORE MINE COMPANIES BY FUZZY COGNITIVE MAPPING METHOD
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作者：Mohsen Askari ; Alireza Naser Sadrabadi ; Seyed Heydar Mirfakhredini 等
期刊名称：LogForum
电子版ISSN：1734-459X
出版年度：2021
卷号：17
期号：1
DOI：10.17270/J.LOG.2021.500
语种：English
出版社：Poznań School of Logistics
摘要：Background: Due to the rising importance of our global interdependence, some concepts like corporate social responsibility (CSR) have a significant role in this dynamic and flourishing industry composed of lodging, transportation and so on. Accordingly; any small decisions or actions occurring in one of these centers, regardless of their direct effects on the desired sectors, can gradually have direct and indirect, hidden and obvious, as well as tangible and intangible impacts on all sectors in society and consequently lead to a series of actions and reactions in all levels and layers. Thus, the purpose of this study was to explain and rank factors affecting corporate social responsibility (CSR) of iron ore mining companies in Yazd Province, Iran. In addition, for the first time, the fuzzy FCM method has been used to rank corporate social responsibility Methods: CSR indicators and dimensions were extracted using Content Analysis of interviews with expert groups from a total number of 9 iron ore mining companies in Yazd Province, Iran. Then, relations between the indicators were determined via Fuzzy Cognitive Map, and subsequently, they were ranked through FC Mapper. In the end, the intensity of the impact of the indicators on each other was calculated through Mic Mac. Results: The obtained dimensions by Content Analaysis, included safety and health as well as legal, ethical, environmental, philanthropic, and economical. Indicators of "striving to reduce harm to the environment", "striving to reduce toxic and greenhouse gases", "increasing employee satisfaction and motivation", "developing and promoting community knowledge and culture" and "providing real-time information about The work and the disadvantages resulting from it" were ranked the highest in the ranking model. In the end, the intensity of the impact of the indicators on each other was calculated through Mic Mac that influential indicators were included "voluntary support of employees in social activities", "efforts to reduce toxic and greenhouse gases" and "transparency in contracts with contractors". Conclusions: This research can be beneficial to government, researchers and organizations in helping them to understand indicators based corporate social responsibility in order to persuade them to do their commitment about society.
关键词：Corporate Social Responsibility;Content Analysis;Fuzzy Cognitive Mapping;Mic Mac