数据分析采用的先例:2018-2024年的系统文献综述
Alqa Husni1, Wasanthi Madurapperuma2, Ranpati Dewage Thilini Sumudu Kumari3
1Business School, Informatics Institute of Technology, Colombo, Western Province, Sri Lanka.
F1000Research
|November 25, 2025
概括
本研究探讨了数据分析采用模式,确定了技术,组织和个人影响等关键因素. 它强调了理论上的碎片化,并建议了未来的研究方向,以便对大数据分析采用有凝聚力的理解.
科学领域:
- 数据科学数据科学数据科学
- 信息系统信息系统信息系统
- 业务分析 业务分析
背景情况:
- 大数据分析的采用正在改变行业,但面临着与各种采用模式相关的挑战.
- 现有的研究缺乏对塑造数据分析采用的最有影响力的理论的清晰理解.
- 本研究系统地调查了数据分析采用的先例,以绘制现场演变的地图并确定差距.
研究的目的:
- 系统地探索数据分析采用的先例.
- 绘制数据分析采用的研究演变的地图.
- 揭示未经探索的领域和现场的整合差距.
主要方法:
- 进行了Scopus和Web of Science的43篇同行评审文章 (2018-2024) 的系统文献审查.
- 系统审查和元分析 (PRISMA) 准则的应用首选报告项目.
- 使用文献计量工具 (VOSviewer,Microsoft Excel) 来分析趋势,集群和差距.
主要成果:
- 研究集中在制造业和亚洲发达国家.
- 确定了五个关键的采用维度:技术,组织,环境,个人和数据相关的.
- 技术-组织-环境 (TOE) 和技术接受和使用统一理论 (UTAUT) 框架分别主导着组织和个人研究.
- 观察到行为和基于资源的观点之间的理论碎片化.
结论:
- 为研究人员在选择理论框架和理解采用水平方面提供指导.
- 通过在多个框架中整合个人和组织先例来解决差距.
- 确定了未来的研究需求,包括对发展中国家,教育部门和理论凝聚力的研究.
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