Firms' operational and logistics characteristics and realisation of business analytics benefits: evidence from stock markets

被引:3
|
作者
Yiu, L. M. Daphne [1 ]
Yeung, Andy C. L. [2 ]
Lam, Hugo K. S. [3 ]
Cheng, T. C. E. [2 ]
机构
[1] Macau Univ Sci & Technol, Sch Business, Taipa, Macao, Peoples R China
[2] Hong Kong Polytech Univ, Fac Business, Kowloon, Hong Kong, Peoples R China
[3] Univ Liverpool, Management Sch, Liverpool, Merseyside, England
关键词
business intelligence systems; industry competitiveness; operating cycle; stock returns; industry munificence; SUPPLY CHAIN MANAGEMENT; BIG DATA ANALYTICS; INTELLIGENCE SYSTEMS; PREDICTIVE ANALYTICS; EMPIRICAL-EVIDENCE; DATA SCIENCE; PERFORMANCE; IMPACT; ADOPTION; ISO-9000;
D O I
10.1504/IJSTL.2021.118531
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The idea of 'big data' provides practitioners in the logistics industry with valuable opportunities to improve their operational efficiency and economic performance. In fact, business analytics techniques are increasingly being used in international logistics, shipping, and supply chain management. We examine the impact of business intelligence (BI) system adoption on firms' market value and the influences of the operating characteristics and contexts of firms. Specifically, we examine whether the impacts of BI adoption are contingent on industry competitiveness, firms' operating cycle, and industry munificence. Using the event study methodology, we analyse 272 manufacturing firms in the USA that adopted BI systems from 2005 to 2014. We find that BI adoption does not have an immediate impact on firms' stock returns, but such impact is significantly enhanced for firms in highly competitive industries, and those with short operating cycles and high industry munificence, i.e., high-growth industries, suggesting that firms in fast-changing dynamic environments find BI systems much more useful.
引用
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页码:649 / 669
页数:21
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