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

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  • Ebrahim A. A. Ghaleb

    (Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32160, Malaysia)

  • P. D. D. Dominic

    (Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32160, Malaysia)

  • Suliman Mohamed Fati

    (Information Systems Department, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Amgad Muneer

    (Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32160, Malaysia)

  • Rao Faizan Ali

    (Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32160, Malaysia)

Abstract

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.

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  • Ebrahim A. A. Ghaleb & P. D. D. Dominic & Suliman Mohamed Fati & Amgad Muneer & Rao Faizan Ali, 2021. "The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees," Sustainability, MDPI, vol. 13(15), pages 1-33, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8379-:d:602644
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    References listed on IDEAS

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    1. Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    2. Kalai Anand Ratnam & P.D.D. Dominic, 2014. "The factors associating the adoption of cloud computing: an enhancement of the healthcare ecosystem in Malaysia," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 16(4), pages 462-479.
    3. Gupta, Himanshu & Barua, Mukesh Kumar, 2016. "Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 69-79.
    4. Wenjuan Xu & Peiyu Ou & Weiguo Fan, 2017. "Antecedents of ERP assimilation and its impact on ERP value: A TOE-based model and empirical test," Information Systems Frontiers, Springer, vol. 19(1), pages 13-30, February.
    5. Nabhani, Irfan & Daryanto, A. & Machfud & Rifin, A., 2016. "Mobile Broadband for the Farmers: A Case Study of Technology Adoption by Cocoa Farmers in Southern East Java, Indonesia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-10, June.
    6. Kawaljeet Kaur Kapoor & Yogesh K. Dwivedi & Michael D. Williams, 2015. "Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service," Information Systems Frontiers, Springer, vol. 17(5), pages 1039-1056, October.
    7. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    8. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    9. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    10. Rao Faizan Ali & P.D.D. Dominic & Kashif Ali, 2020. "Organizational Governance, Social Bonds and Information Security Policy Compliance: A Perspective towards Oil and Gas Employees," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
    11. Amgad Muneer & Suliman Mohamed Fati, 2020. "A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter," Future Internet, MDPI, vol. 12(11), pages 1-20, October.
    12. Hemlata Gangwar, 2018. "Understanding the Determinants of Big Data Adoption in India: An Analysis of the Manufacturing and Services Sectors," Information Resources Management Journal (IRMJ), IGI Global, vol. 31(4), pages 1-22, October.
    13. Ke Dong & Rao Faizan Ali & P. D. D. Dominic & Syed Emad Azhar Ali, 2021. "The Effect of Organizational Information Security Climate on Information Security Policy Compliance: The Mediating Effect of Social Bonding towards Healthcare Nurses," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
    14. Peter Weill, 1992. "The Relationship Between Investment in Information Technology and Firm Performance: A Study of the Valve Manufacturing Sector," Information Systems Research, INFORMS, vol. 3(4), pages 307-333, December.
    15. Asghar Afshar Jahanshahi & Alexander Brem, 2017. "Sustainability in SMEs: Top Management Teams Behavioral Integration as Source of Innovativeness," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    16. Ragu-Nathan, Bhanu S. & Apigian, Charles H. & Ragu-Nathan, T. S. & Tu, Qiang, 2004. "A path analytic study of the effect of top management support for information systems performance," Omega, Elsevier, vol. 32(6), pages 459-471, December.
    17. Jahoon Koo & Giluk Kang & Young-Gab Kim, 2020. "Security and Privacy in Big Data Life Cycle: A Survey and Open Challenges," Sustainability, MDPI, vol. 12(24), pages 1-32, December.
    18. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    19. Zhipeng Gui & Manzhu Yu & Chaowei Yang & Yunfeng Jiang & Songqing Chen & Jizhe Xia & Qunying Huang & Kai Liu & Zhenlong Li & Mohammed Anowarul Hassan & Baoxuan Jin, 2016. "Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-33, April.
    20. Giotopoulos, Ioannis & Kontolaimou, Alexandra & Korra, Efthymia & Tsakanikas, Aggelos, 2017. "What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece," Journal of Business Research, Elsevier, vol. 81(C), pages 60-69.
    21. Aarthi Raghavan & Mehmet Akif Demircioglu & Araz Taeihagh, 2021. "Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore," IJERPH, MDPI, vol. 18(1), pages 1-30, January.
    22. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    23. Steven Ji-fan Ren & Samuel Fosso Wamba & Shahriar Akter & Rameshwar Dubey & Stephen J. Childe, 2017. "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5011-5026, September.
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