User readiness as a determinant for use of big data analytics: A case of state corporations in Kenya

IF 1.1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Vera Imende-Obonyo, James Muranga Njihia, X. N. Iraki
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引用次数: 0

Abstract

State corporations in Kenya are installing systems to provide real-time data to enhance decision making, customer base growth, and revenue generation. However, these organizations must still determine their readiness for big data analytics. User readiness as a determinant for use of big data analytics in developing countries like Kenya has received limited coverage in literature. Yet, successful implementation necessitates users' preparedness and willingness to use the technology. Grounded theory was used in this study, which involved eight state corporations in Kenya. Four categories emerged from the data: user attributes, change management, ICT competence, and decision-making culture. The proposed interventions to improve user readiness are top leadership support, user engagement, change management strategies, capacity-building programs, and data governance. The article contributes to literature by exploring the gap between user readiness and use of big data analytics in state corporations in Kenya. It additionally offers practitioners, decision-makers, and government officials in developing countries, factors that can increase use of big data analytics.

用户准备程度是使用大数据分析的决定因素:肯尼亚国有企业案例
肯尼亚的国有企业正在安装提供实时数据的系统,以加强决策、扩大客户群和创造收入。然而,这些组织仍必须确定其是否已为大数据分析做好准备。在像肯尼亚这样的发展中国家,用户是否准备好使用大数据分析技术是一个决定性因素,但这方面的文献报道却很有限。然而,成功的实施需要用户做好使用技术的准备并愿意使用技术。本研究采用了基础理论,涉及肯尼亚的八家国有企业。从数据中总结出四个类别:用户属性、变革管理、信息和通信技术能力以及决策文化。为改善用户准备情况而提出的干预措施包括高层领导支持、用户参与、变革管理策略、能力建设计划和数据治理。这篇文章通过探讨肯尼亚国营企业中用户准备程度与大数据分析使用之间的差距,为文献做出了贡献。此外,文章还为发展中国家的从业人员、决策者和政府官员提供了可提高大数据分析使用率的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
15.40%
发文量
51
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