Vera Imende-Obonyo, James Muranga Njihia, X. N. Iraki
{"title":"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","authors":"Vera Imende-Obonyo, James Muranga Njihia, X. N. Iraki","doi":"10.1002/isd2.12327","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":46610,"journal":{"name":"Electronic Journal of Information Systems in Developing Countries","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User readiness as a determinant for use of big data analytics: A case of state corporations in Kenya\",\"authors\":\"Vera Imende-Obonyo, James Muranga Njihia, X. N. Iraki\",\"doi\":\"10.1002/isd2.12327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":46610,\"journal\":{\"name\":\"Electronic Journal of Information Systems in Developing Countries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Journal of Information Systems in Developing Countries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/isd2.12327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Information Systems in Developing Countries","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/isd2.12327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
User readiness as a determinant for use of big data analytics: A case of state corporations in Kenya
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.