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Blockchain Technology and Its Adoption Factors : = A Correlational Study.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Blockchain Technology and Its Adoption Factors :/
其他題名:
A Correlational Study.
作者:
Ogunsulire, Olugbenga.
面頁冊數:
1 online resource (221 pages)
附註:
Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
Contained By:
Dissertations Abstracts International85-09B.
標題:
Computer science. -
電子資源:
click for full text (PQDT)
ISBN:
9798381750416
Blockchain Technology and Its Adoption Factors : = A Correlational Study.
Ogunsulire, Olugbenga.
Blockchain Technology and Its Adoption Factors :
A Correlational Study. - 1 online resource (221 pages)
Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
Thesis (D.B.A.)--Grand Canyon University, 2024.
Includes bibliographical references
Blockchain technology has the potential to revolutionize the pharmaceutical industry to reduce costs, simplify operations, and improve patient outcomes. The purpose of this quantitative correlational-associative study is to assess if and to what degree the factors of technology adoption (Perceived Benefits, Perceived Complexity, and Perceived Compatibility) correlate to Intention to Adopt Blockchain for information systems executives in the United States pharmaceutical/biotech sector. The Technology, Organization and Environment (TOE) theory serves as the theoretical framework for this study. The study collected data from 134 consented pharmaceutical information systems executives in the US via an online survey (N = 134). The survey consisted of 18 questions to collect demographic data and measuring items for Perceived Benefits, Perceived Compatibility, Perceived Complexity, and Intention to adopt blockchain. The sampling methodology employed was convenience strategy, specifically to target information systems executives who have at least a basic understating of blockchain technology. Person's Correlation analysis yielded the following significant results: Perceived Benefits/Intention to adopt blockchain (r(130) = .729, p < .001), Perceived Complexity/Intention to adopt blockchain (r(130) = -.445, p < .001), and Perceived Compatibility/Intention to adopt blockchain (r(130) = .674, p < .001). The findings provide insight into technology factors that significantly influence blockchain adoption by US pharmaceutical organizations.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798381750416Subjects--Topical Terms:
573171
Computer science.
Subjects--Index Terms:
BlockchainIndex Terms--Genre/Form:
554714
Electronic books.
Blockchain Technology and Its Adoption Factors : = A Correlational Study.
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Blockchain technology has the potential to revolutionize the pharmaceutical industry to reduce costs, simplify operations, and improve patient outcomes. The purpose of this quantitative correlational-associative study is to assess if and to what degree the factors of technology adoption (Perceived Benefits, Perceived Complexity, and Perceived Compatibility) correlate to Intention to Adopt Blockchain for information systems executives in the United States pharmaceutical/biotech sector. The Technology, Organization and Environment (TOE) theory serves as the theoretical framework for this study. The study collected data from 134 consented pharmaceutical information systems executives in the US via an online survey (N = 134). The survey consisted of 18 questions to collect demographic data and measuring items for Perceived Benefits, Perceived Compatibility, Perceived Complexity, and Intention to adopt blockchain. The sampling methodology employed was convenience strategy, specifically to target information systems executives who have at least a basic understating of blockchain technology. Person's Correlation analysis yielded the following significant results: Perceived Benefits/Intention to adopt blockchain (r(130) = .729, p < .001), Perceived Complexity/Intention to adopt blockchain (r(130) = -.445, p < .001), and Perceived Compatibility/Intention to adopt blockchain (r(130) = .674, p < .001). The findings provide insight into technology factors that significantly influence blockchain adoption by US pharmaceutical organizations.
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