Big Data Analytics and Competitive Advantage: Evidences from Healthcare Services Organistions in Lagos State, Nigeria

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. Ibidun
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引用次数: 0

Abstract

This paper investigated the effect of big data analytics and its six sub-dimensions on the competitive advantage of healthcare service organisations. Big data analytics have six sub-dimensions: agility capability, data-driven decision making, business intelligence, information technology capability, Internet of Things (IoT) application software, and cloud computing. Big Data Analytics (BDA) refers to the advanced analytical techniques used to process and derive valuable knowledge from large datasets. While BDA has the potential to offer significant business insights and create immense value, many organisations struggle to fully capitalise on their BDA initiatives and gain a competitive advantage. Despite the opportunities presented by BDA, some firms face challenges in effectively leveraging and extracting value from their data analytics endeavours. The study adopted a survey research design. The population of the study comprised 3931 employees of accredited healthcare service firms in Lagos State. The study utilised mixed sampling techniques comprising purposive, proportionate, and random sampling techniques. A sample size of 676 participants was obtained using Cochran’s sample size formula (1977). An adapted questionnaire was used, and an 83.3% response rate was achieved. The Cronbach’s alpha reliability coefficients for various constructs ranged from 0.769 to 0.904. The data were analysed using inferential (regression) analysis. The findings revealed that big data analytics dimensions had a significant effect on competitive advantage (Adj.R2 = 0.937; (F (6, 556) = 0.937), p<0.05). The study concluded that big data analytics affected the competitive advantage of healthcare firms in Lagos State, Nigeria. Based on the findings of the study, it was recommended that the management of healthcare service organisations in Lagos State invest in the combination of Big Data Analytics (BDA) dimensions in order to achieve a long-term competitive advantage. Also, management should use BDA to support the operational activities of the firm to increase cost efficiencies and develop firm-specific BDA knowledge. Keywords: Big data analytics, Healthcare organisation, Competitive advantage, Internet of things application, Information technology capability, Lagos State
大数据分析和竞争优势:来自尼日利亚拉各斯州医疗服务组织的证据
本文研究了大数据分析及其六个子维度对医疗服务组织竞争优势的影响。大数据分析有六个子维度:敏捷性能力、数据驱动决策、商业智能、信息技术能力、物联网(IoT)应用软件和云计算。大数据分析(BDA)是指用于处理和从大型数据集中获取有价值知识的先进分析技术。虽然BDA有潜力提供重要的业务见解并创造巨大的价值,但许多组织仍在努力充分利用其BDA计划并获得竞争优势。尽管BDA带来了机遇,但一些公司在有效利用和提取数据分析价值方面面临挑战。本研究采用调查研究设计。该研究的人口包括拉各斯州认可的医疗保健服务公司的3931名员工。本研究采用混合抽样技术,包括目的抽样、比例抽样和随机抽样技术。使用Cochran样本量公式(1977)获得676名参与者的样本量。采用改编问卷,回复率达83.3%。不同构式的Cronbach 's α信度系数在0.769 ~ 0.904之间。采用推理(回归)分析对数据进行分析。研究发现,大数据分析维度对企业竞争优势有显著影响(Adj.R2 = 0.937;(F (6,556) = 0.937), p<0.05)。该研究得出结论,大数据分析影响了尼日利亚拉各斯州医疗保健公司的竞争优势。根据研究结果,建议拉各斯州医疗保健服务组织的管理层投资于大数据分析(BDA)维度的组合,以实现长期的竞争优势。此外,管理层应该使用BDA来支持公司的运营活动,以提高成本效率并开发公司特定的BDA知识。关键词:大数据分析,医疗机构,竞争优势,物联网应用,信息技术能力,拉各斯州
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来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
期刊介绍: International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.
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