The Assessment of Big Data Adoption Readiness with a Technology-Organization-Environment Framework: A Perspective towards Healthcare Employees

被引:45
作者
Ghaleb, Ebrahim A. A. [1 ]
Dominic, P. D. D. [1 ]
Fati, Suliman Mohamed [2 ]
Muneer, Amgad [1 ]
Ali, Rao Faizan [1 ]
机构
[1] Univ Teknol Petronas, Dept Comp & Informat Sci, Seri Iskandar 32160, Perak, Malaysia
[2] Prince Sultan Univ, Coll Comp & Informat Sci, Informat Syst Dept, Riyadh 11586, Saudi Arabia
关键词
emerging technologies; big data; technology adoption; healthcare; healthcare transformation; TOE and TRI theories; CLOUD COMPUTING ADOPTION; SUPPLY CHAIN MANAGEMENT; DATA ANALYTICS; FIRM PERFORMANCE; INFORMATION-TECHNOLOGY; DIGITAL TRANSFORMATION; COMMERCE ADOPTION; PLS-SEM; DETERMINANTS; SMES;
D O I
10.3390/su13158379
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Big data is rapidly being seen as a new frontier for improving organizational performance. However, it is still in its early phases of implementation in developing countries' healthcare organizations. As data-driven insights become critical competitive advantages, it is critical to ascertain which elements influence an organization's decision to adopt big data. The aim of this study is to propose and empirically test a theoretical framework based on technology-organization-environment (TOE) factors to identify the level of readiness of big data adoption in developing countries' healthcare organizations. The framework empirically tested 302 Malaysian healthcare employees. The structural equation modeling was used to analyze the collected data. The results of the study demonstrated that technology, organization, and environment factors can significantly contribute towards big data adoption in healthcare organizations. However, the complexity of technology factors has shown less support for the notion. For technology practitioners, this study showed how to enhance big data adoption in healthcare organizations through TOE factors.
引用
收藏
页数:33
相关论文
共 201 条
[61]  
Ghaleb E.A., 2020, SOLID STATE TECHNOL, V63, P9202
[62]   Adoption of e-commerce applications in SMEs [J].
Ghobakhloo, Morteza ;
Arias-Aranda, Daniel ;
Benitez-Amado, Jose .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2011, 111 (8-9) :1238-1269
[63]   What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece [J].
Giotopoulos, Ioannis ;
Kontolaimou, Alexandra ;
Korra, Efthymia ;
Tsakanikas, Aggelos .
JOURNAL OF BUSINESS RESEARCH, 2017, 81 :60-69
[64]   Electronic commerce adoption: an empirical study of small and medium US businesses [J].
Grandon, EE ;
Pearson, JM .
INFORMATION & MANAGEMENT, 2004, 42 (01) :197-216
[65]   Diffusion of innovations in service organizations: Systematic review and recommendations [J].
Greenhalgh, T ;
Robert, G ;
Macfarlane, F ;
Bate, P ;
Kyriakidou, O .
MILBANK QUARTERLY, 2004, 82 (04) :581-629
[66]   Visualizing the knowledge structure and evolution of big data research in healthcare informatics [J].
Gu, Dongxiao ;
Li, Jingjing ;
Li, Xingguo ;
Liang, Changyong .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2017, 98 :22-32
[67]   Unified Modeling Language (UML) IT adoption - A holistic model of organizational capabilities perspective [J].
Gu, Vicky Ching ;
Cao, Qing ;
Duan, Wenjing .
DECISION SUPPORT SYSTEMS, 2012, 54 (01) :257-269
[68]   Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation [J].
Gui, Zhipeng ;
Yu, Manzhu ;
Yang, Chaowei ;
Jiang, Yunfeng ;
Chen, Songqing ;
Xia, Jizhe ;
Huang, Qunying ;
Liu, Kai ;
Li, Zhenlong ;
Hassan, Mohammed Anowarul ;
Jin, Baoxuan .
PLOS ONE, 2016, 11 (04)
[69]   Electronic health record innovations: Helping physicians - One less click at a time [J].
Guo, Uta ;
Chen, Lu ;
Mehta, Parag H. .
HEALTH INFORMATION MANAGEMENT JOURNAL, 2017, 46 (03) :140-144
[70]  
Gupta A.K., 2014, IOSR Journal of Computer Engineering, V16, P08