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Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach

One of the major challenges for healthcare executives is effective decision-making. In today’s healthcare market, there are pressures on private healthcare organizations to adopt business intelligence systems. However, adopting business intelligence systems in private healthcare is rather scarce, an...

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第一著者: Isyaku, Salisu
フォーマット: 学位論文
言語:English
English
English
出版事項: 2024
主題:
HF5001-6182 Business
T Technology (General)
オンライン･アクセス:https://etd.uum.edu.my/11315/1/permission%20to%20deposit-embargo%2036%20months-s903706.pdf
https://etd.uum.edu.my/11315/2/s903706_01.pdf
https://etd.uum.edu.my/11315/3/s903706_02.pdf
https://etd.uum.edu.my/11315/
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spelling my.uum.etd.113152024-10-06T15:25:20Z https://etd.uum.edu.my/11315/ Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach Isyaku, Salisu HF5001-6182 Business T Technology (General) One of the major challenges for healthcare executives is effective decision-making. In today’s healthcare market, there are pressures on private healthcare organizations to adopt business intelligence systems. However, adopting business intelligence systems in private healthcare is rather scarce, and the more important factors in the adoption decision are not fully understood. Therefore, the study aims to design a framework of business intelligence systems adoption by healthcare small and medium enterprises in Nigeria. The study conducted a systematic literature review to identify the factors, and 15 experts were chosen using the snowball sampling technique to validate the factors. Further, the study applied the Partial Least Squares-Structural Equation Modelling (PLS-SEM) analysis using SmartPLS-4 to analyze the data. Accordingly, a total of 376 hospitals’ owners in Nigeria were selected using a simple random sampling technique, however, only 152 participated. Besides, the study conducted an Analytic Hierarchy Process (AHP) analysis to prioritize the significant factors. The AHP data were collected from ten experts who were chosen through the snowball sampling technique. The result of the PLS-SEM analysis indicated that relative advantage, compatibility, complexity, observability, trialability management support, organizational size, organizational resources availability, absorptive capacity presence of champion, vendor support and government support in IT knowledge and innovativeness were significantly related to the business intelligence adoption. Meanwhile, competition and attitude did not show significant results. Further, the AHP consistency ratios (< 0.1) indicated the model is consistent. Hence, the finding shows that technology is the most important characteristic, while the environment is the least important characteristic. The study emphasizes the pivotal role of various factors of business intelligence systems adoption for enhancing healthcare decision-making in Nigeria. It confirms the significant role that both technological, organizational, environmental, and individual factors play in influencing BIS adoption. It is recommended that the hospital management should consider the most important factors in making decisions when they adopt a business intelligence system. 2024 Thesis NonPeerReviewed text en https://etd.uum.edu.my/11315/1/permission%20to%20deposit-embargo%2036%20months-s903706.pdf text en https://etd.uum.edu.my/11315/2/s903706_01.pdf text en https://etd.uum.edu.my/11315/3/s903706_02.pdf Isyaku, Salisu (2024) Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
English
topic HF5001-6182 Business
T Technology (General)
spellingShingle HF5001-6182 Business
T Technology (General)
Isyaku, Salisu
Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
description One of the major challenges for healthcare executives is effective decision-making. In today’s healthcare market, there are pressures on private healthcare organizations to adopt business intelligence systems. However, adopting business intelligence systems in private healthcare is rather scarce, and the more important factors in the adoption decision are not fully understood. Therefore, the study aims to design a framework of business intelligence systems adoption by healthcare small and medium enterprises in Nigeria. The study conducted a systematic literature review to identify the factors, and 15 experts were chosen using the snowball sampling technique to validate the factors. Further, the study applied the Partial Least Squares-Structural Equation Modelling (PLS-SEM) analysis using SmartPLS-4 to analyze the data. Accordingly, a total of 376 hospitals’ owners in Nigeria were selected using a simple random sampling technique, however, only 152 participated. Besides, the study conducted an Analytic Hierarchy Process (AHP) analysis to prioritize the significant factors. The AHP data were collected from ten experts who were chosen through the snowball sampling technique. The result of the PLS-SEM analysis indicated that relative advantage, compatibility, complexity, observability, trialability management support, organizational size, organizational resources availability, absorptive capacity presence of champion, vendor support and government support in IT knowledge and innovativeness were significantly related to the business intelligence adoption. Meanwhile, competition and attitude did not show significant results. Further, the AHP consistency ratios (< 0.1) indicated the model is consistent. Hence, the finding shows that technology is the most important characteristic, while the environment is the least important characteristic. The study emphasizes the pivotal role of various factors of business intelligence systems adoption for enhancing healthcare decision-making in Nigeria. It confirms the significant role that both technological, organizational, environmental, and individual factors play in influencing BIS adoption. It is recommended that the hospital management should consider the most important factors in making decisions when they adopt a business intelligence system.
format Thesis
author Isyaku, Salisu
author_facet Isyaku, Salisu
author_sort Isyaku, Salisu
title Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
title_short Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
title_full Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
title_fullStr Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
title_full_unstemmed Design of a framework of business intelligence systems adoption in the healthcare SMEs in Nigeria: A hybrid approach
title_sort design of a framework of business intelligence systems adoption in the healthcare smes in nigeria: a hybrid approach
publishDate 2024
url https://etd.uum.edu.my/11315/1/permission%20to%20deposit-embargo%2036%20months-s903706.pdf
https://etd.uum.edu.my/11315/2/s903706_01.pdf
https://etd.uum.edu.my/11315/3/s903706_02.pdf
https://etd.uum.edu.my/11315/
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score 13.251813

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