Barriers to big data analytics (BDA) implementation in manufacturing supply chains  

作　　者：Amirhossein Dehkhodaei Bahar Amiri Hasan Farsijani Abbas Raad 

机构地区：[1]Department of Management and Accounting,Shahid Beheshti University,Tehran,Iran

出　　处：《Journal of Management Analytics》2023年第1期191-222,共32页管理分析学报（英文）

摘　　要：Big data analysis(BDA)can increase the capability of supply chain analysis of manufacturing companies.Therefore,many manufacturing companies want to use BDA,but it has been seen that BDA implementation is difficult,especially in developing countries due to the existence of various barriers related to finance,government regulations,etc.This paper aims to investigate the barriers to BDA implementation in Iranian companies.In literature,limited work has been done on identifying barriers to implementing BDA in developing countries.In this regard,34 barriers were identified to BDA adoption in Iran by employing a literature review and feedback received from experts.Then,the most important barriers(14)were analyzed using integrated Interpretive Structural Modeling and MICMAC approach.Results show that two barriers;namely,lack of sufficient knowledge of senior managers and weakness of governance policies,are the most significant.Finally,crucial policy measures and recommendations are proposed to assist managers and government bodies.

关 键 词：Barriers Big data analytics Interpretive Structural Modeling(ISM) MICMAC Analysis MODELING Supply Chain Management 

分 类 号：F274[经济管理—企业管理]