Mapping business analytics skillsets with industries: empirical evidence from online job advertisements

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Business Analytics Pub Date : 2022-10-22 DOI:10.1080/2573234X.2022.2136541
Hong Qin, Kai S. Koong, Haoyu Wen, Lai C. Liu
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Abstract

ABSTRACT As a large accumulation of data is captured and contained, organisations find that the invaluable information can be used to improve company performance, leverage competitive advantages, and create business values. Using business analytics (BA) job advertisements collected from a recruiting website, this study identified knowledge domains and skillsets of BA professionals. Additionally, it examined the relative importance of these BA skills in different industries such as Financial and Information Technology services. The results of Text mining analysis indicate that data modelling, statistical software, visualisation, forecasting, and database are the top ranked BA technical skills. In addition, process skills such as communication, project management, and financial techniques are crucial. The association rules analysis recognises the relative importance of BA skillsets across different industries. The findings contribute to the employability and professional development of new graduates; additionally, they provide insights to BA academic curriculum design and human resources management.
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将商业分析技能映射到行业:来自在线招聘广告的经验证据
随着大量的数据积累被捕获和包含,组织发现这些宝贵的信息可以用来提高公司绩效,利用竞争优势,创造商业价值。本研究利用从招聘网站收集的商业分析(BA)招聘广告,确定了商业分析专业人士的知识领域和技能。此外,它还调查了这些学士学位技能在不同行业(如金融和信息技术服务)中的相对重要性。文本挖掘分析的结果表明,数据建模、统计软件、可视化、预测和数据库是排名靠前的BA技术技能。此外,沟通、项目管理和财务技术等过程技能也是至关重要的。关联规则分析认识到BA技能在不同行业中的相对重要性。研究结果有助于应届毕业生的就业能力和专业发展;此外,他们还为学士学位的学术课程设计和人力资源管理提供见解。
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来源期刊
Journal of Business Analytics
Journal of Business Analytics Business, Management and Accounting-Management Information Systems
CiteScore
2.50
自引率
0.00%
发文量
13
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