{"title":"Driving Factors Affecting the Business Analytics Application from the Cross-Cultural Perspective: An Empirical Study","authors":"Hokey Min, Hye-Young Joo","doi":"10.1080/1097198x.2023.2266969","DOIUrl":null,"url":null,"abstract":"ABSTRACTDespite the growing recognition of business analytics (BA)‘s role in boosting the firm’s intellectual capital and subsequent competitiveness, some firms are still hesitant to adopt BA. To have a clear picture of what will lead to the serious consideration of BA as a business intelligence tool, we conducted confirmation factor analyses and used the structural equation model to determine what drives BA applications. Through a series of hypothesis testing, we discovered that security, ease of use, perceived risk, and IT capability became important determinants for BA applications. On the other hand, various costs associated with BA use and organizational resistance against BA use turned out to be non-deciding factors for BA applications. This paper is one of the first attempts to develop practical guidelines for the successful application of BA based on the empirical study of BA practices among US and Korean firms from a cross-cultural perspective.KEYWORDS: Business analyticsbusiness intelligencecross-cultural studystructural equation modeltechnology adoptionUS and Korean firms Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsHokey MinHokey Min is a James R. Good Chair in Global Supply Chain Strategy and University Distinguished Research Professor. in the Schmidthorst College of Business at Bowlinh Green State University. His research interests include supply chain analytics and technology. He has published more than 235 articles in various academic journals.Hye-Young JooHye-Young Joo is Assistant Professor in the International Trade and Logistics Division at Choong Ang University. His research interests include green supply chain management and cross-border e-commerce.","PeriodicalId":45982,"journal":{"name":"Journal of Global Information Technology Management","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Information Technology Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1097198x.2023.2266969","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACTDespite the growing recognition of business analytics (BA)‘s role in boosting the firm’s intellectual capital and subsequent competitiveness, some firms are still hesitant to adopt BA. To have a clear picture of what will lead to the serious consideration of BA as a business intelligence tool, we conducted confirmation factor analyses and used the structural equation model to determine what drives BA applications. Through a series of hypothesis testing, we discovered that security, ease of use, perceived risk, and IT capability became important determinants for BA applications. On the other hand, various costs associated with BA use and organizational resistance against BA use turned out to be non-deciding factors for BA applications. This paper is one of the first attempts to develop practical guidelines for the successful application of BA based on the empirical study of BA practices among US and Korean firms from a cross-cultural perspective.KEYWORDS: Business analyticsbusiness intelligencecross-cultural studystructural equation modeltechnology adoptionUS and Korean firms Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsHokey MinHokey Min is a James R. Good Chair in Global Supply Chain Strategy and University Distinguished Research Professor. in the Schmidthorst College of Business at Bowlinh Green State University. His research interests include supply chain analytics and technology. He has published more than 235 articles in various academic journals.Hye-Young JooHye-Young Joo is Assistant Professor in the International Trade and Logistics Division at Choong Ang University. His research interests include green supply chain management and cross-border e-commerce.
摘要尽管人们越来越认识到商业分析在提高企业智力资本和竞争力方面的作用,但一些企业对采用商业分析仍然犹豫不决。为了清楚地了解哪些因素会导致人们认真考虑将BA作为商业智能工具,我们进行了确认因子分析,并使用结构方程模型来确定驱动BA应用的因素。通过一系列假设检验,我们发现安全性、易用性、可感知风险和IT能力成为BA应用程序的重要决定因素。另一方面,与BA使用相关的各种成本和组织对BA使用的抵制变成了BA应用程序的非决定性因素。本文首次尝试从跨文化视角对美韩企业的BA实践进行实证研究,为BA的成功应用制定实践指南。关键词:商业分析、商业智能、跨文化研究、结构方程模型、技术采用、美韩公司披露声明、作者未报告潜在利益冲突。hokey Min是James R. Good全球供应链战略主席和大学杰出研究教授。鲍林格林州立大学施密特索尔斯特商学院的教授。他的研究兴趣包括供应链分析和技术。在各类学术期刊上发表论文235余篇。JooHye-Young,中央大学国际贸易与物流系助理教授。主要研究方向为绿色供应链管理和跨境电子商务。
期刊介绍:
The Journal of Global Information Technology Management (JGITM) is a refereed international journal that is supported by Global IT scholars from all over the world. JGITM publishes articles related to all aspects of the application of information technology for international business. The journal also considers a variety of methodological approaches and encourages manuscript submissions from authors all over the world, both from academia and industry. In addition, the journal will also include reviews of MIS books that have bearing on global aspects. Practitioner input will be specifically solicited from time-to-time in the form of invited columns or interviews. Besides quality work, at a minimum each submitted article should have the following three components: an MIS (Management Information Systems) topic, an international orientation (e.g., cross cultural studies or strong international implications), and evidence (e.g., survey data, case studies, secondary data, etc.). Articles in the Journal of Global Information Technology Management include, but are not limited to: -Cross-cultural IS studies -Frameworks/models for global information systems (GIS) -Development, evaluation and management of GIS -Information Resource Management -Electronic Commerce -Privacy & Security -Societal impacts of IT in developing countries -IT and Economic Development -IT Diffusion in developing countries -IT in Health Care -IT human resource issues -DSS/EIS/ES in international settings -Organizational and management structures for GIS -Transborder data flow issues -Supply Chain Management -Distributed global databases and networks -Cultural and societal impacts -Comparative studies of nations -Applications and case studies