IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11521-d1202390.html
   My bibliography  Save this article

Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data

Author

Listed:
  • 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)

  • Narinderjit Singh Sawaran Singh

    (Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Malaysia)

  • Gehad Mohammed Ahmed Naji

    (Department of Management & Humanities, Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, Malaysia)

Abstract

Big data is quickly becoming a new area where administrative work can be improved. Even so, it is still in the early stages of being used in hospitals in countries with less technology. Therefore, there is an inadequate grasp of the evaluation of big data adoption preparedness in the healthcare sector as data-point-determined insights become crucially useful in healthcare institutions in underdeveloped nations. This process, called “digital transformation,” has a lot of benefits; for example, it helps healthcare organizations to create more efficient processes, offer different services, give better care, make more money, and cut costs. This paper aims to suggest and assess a conceptual framework that focuses on technological factors and can assist in determining the readiness of healthcare institutions in developing nations to utilize big data. Although the study can offer valuable perspectives on the advantages that can arise from adopting big data in the healthcare sector, it is important to highlight that leveraging big data analytics in healthcare has the potential to enhance the efficiency and effectiveness of healthcare services. This, in turn, can indirectly contribute to sustainability objectives by optimizing the allocation of resources, minimizing waste, and improving patient outcomes. A total of 328 healthcare workers from Malaysia were subjected to experimental testing of the model. The collected data were evaluated using the Smart PLS 3 program and the structural equation model (SEM). The study’s findings supported our hypotheses. The results showed that technological factors affected the participants’ perception of their readiness for big data, which ultimately influenced their interest in utilizing it. By concentrating on big data preparedness in the healthcare industry and ambition to utilize big data, this research provides an important theoretical contribution. Employees who are “big data ready” would benefit from the study’s results, as, through their recognition, said employees are more likely to increase the desire to use big data in Malaysia’s healthcare sectors.

Suggested Citation

  • Ebrahim A. A. Ghaleb & P. D. D. Dominic & Narinderjit Singh Sawaran Singh & Gehad Mohammed Ahmed Naji, 2023. "Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11521-:d:1202390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11521/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/15/11521/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Timo Neunaber & Sven Meister, 2023. "Digital Maturity and Its Measurement of General Practitioners: A Scoping Review," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    2. Cerchione, Roberto & Centobelli, Piera & Riccio, Emanuela & Abbate, Stefano & Oropallo, Eugenio, 2023. "Blockchain’s coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem," Technovation, Elsevier, vol. 120(C).
    3. 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.
    4. 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.
    5. Kennedy Ojucku Mairura & Patrick Karanja Ngugi & Christopher Kanali, 2016. "The Role of Compatibility in Technology Adoption among Automobile Mechanics in Micro and Small Enterprises in Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(5), pages 503-511, May.
    6. 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.
    7. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    8. Azeem, Muhammad & Ahmed, Munir & Haider, Sajid & Sajjad, Muhammad, 2021. "Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation," Technology in Society, Elsevier, vol. 66(C).
    9. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
    10. Raguseo, Elisabetta, 2018. "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, Elsevier, vol. 38(1), pages 187-195.
    11. Caesarius, Leon Michael & Hohenthal, Jukka, 2018. "Searching for big data," Scandinavian Journal of Management, Elsevier, vol. 34(2), pages 129-140.
    12. Adriana Gabriela ALEXANDRU & Irina Miruna RADU & Madalina - Lavinia BIZON, 2018. "Big Data in Healthcare - Opportunities and Challenges," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(2), pages 43-54.
    13. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    14. Kevin Zhu & Shutao Dong & Sean Xin Xu & Kenneth L Kraemer, 2006. "Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies," European Journal of Information Systems, Taylor & Francis Journals, vol. 15(6), pages 601-616, December.
    15. E. W. T. Ngai & J. K. L. Poon & F. F. C. Suk & C. C. Ng, 2009. "Design of an RFID-based Healthcare Management System using an Information System Design Theory," Information Systems Frontiers, Springer, vol. 11(4), pages 405-417, September.
    16. 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.
    17. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    18. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    19. Gehad Mohammed Ahmed Naji & Ahmad Shahrul Nizam Isha & Abdulsamad Alazzani & Paula Brough & Muhammad Shoaib Saleem & Mysara Eissa Mohyaldinn & Mohammed Alzoraiki, 2022. "Do Leadership, Organizational Communication, and Work Environment Impact Employees’ Psychosocial Hazards in the Oil and Gas Industry?," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    20. Gehad Mohammed Ahmed Naji & Ahmad Shahrul Nizam Isha & Mysara Eissa Mohyaldinn & Stavroula Leka & Muhammad Shoaib Saleem & Syed Mohamed Nasir Bin Syed Abd Rahman & Mohammed Alzoraiki, 2021. "Impact of Safety Culture on Safety Performance; Mediating Role of Psychosocial Hazard: An Integrated Modelling Approach," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
    21. Mohammed Alzoraiki & Abd Rahman Ahmad & Ali Ahmed Ateeq & Gehad Mohammed Ahmed Naji & Qais Almaamari & Baligh Ali Hasan Beshr, 2023. "Impact of Teachers’ Commitment to the Relationship between Transformational Leadership and Sustainable Teaching Performance," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. 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.
    3. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    4. Luther Yuong Qai Chong & Thien Sang Lim, 2022. "Pull and Push Factors of Data Analytics Adoption and Its Mediating Role on Operational Performance," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    5. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    6. Haneem, Faizura & Kama, Nazri & Taskin, Nazim & Pauleen, David & Abu Bakar, Nur Azaliah, 2019. "Determinants of master data management adoption by local government organizations: An empirical study," International Journal of Information Management, Elsevier, vol. 45(C), pages 25-43.
    7. Ahmad Shahrul Nizam Isha & Gehad Mohammed Ahmed Naji & Muhammad Shoaib Saleem & Paula Brough & Abdulsamad Alazzani & Ebrahim A. A. Ghaleb & Amgad Muneer & Mohammed Alzoraiki, 2023. "Validation of “Depression, Anxiety, and Stress Scales” and “Changes in Psychological Distress during COVID-19” among University Students in Malaysia," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    8. Mahadi Bahari & Ibrahim Arpaci & Oguzhan Der & Fatih Akkoyun & Ali Ercetin, 2024. "Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    9. Showimy Aldossari & Umi Asma’ Mokhtar & Ahmad Tarmizi Abdul Ghani, 2023. "Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
    10. Xuejun Jin & Xiao Pan, 2023. "Government Attention, Market Competition and Firm Digital Transformation," Sustainability, MDPI, vol. 15(11), pages 1-27, June.
    11. El-Haddadeh, Ramzi & Osmani, Mohamad & Hindi, Nitham & Fadlalla, Adam, 2021. "Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics," Journal of Business Research, Elsevier, vol. 131(C), pages 402-410.
    12. Raimo, Nicola & De Turi, Ivano & Albergo, Francesco & Vitolla, Filippo, 2023. "The drivers of the digital transformation in the healthcare industry: An empirical analysis in Italian hospitals," Technovation, Elsevier, vol. 121(C).
    13. Muhammad Zafar Yaqub & Abdullah Alsabban, 2023. "Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
    14. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    15. Amit Kumar & Bala Krishnamoorthy, 2020. "Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 80-93, December.
    16. Mohammed Alzoraiki & Abd Rahman Ahmad & Ali Ahmed Ateeq & Gehad Mohammed Ahmed Naji & Qais Almaamari & Baligh Ali Hasan Beshr, 2023. "Impact of Teachers’ Commitment to the Relationship between Transformational Leadership and Sustainable Teaching Performance," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    17. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
    18. Amankwah-Amoah, Joseph, 2019. "Big data analytics and business failures in data-Rich environments: An organizing framework," MPRA Paper 91264, University Library of Munich, Germany.
    19. Mohammad Alamgir Hossain & Mohammed Quaddus, 2015. "Developing and validating a hierarchical model of external responsiveness: A study on RFID technology," Information Systems Frontiers, Springer, vol. 17(1), pages 109-125, February.
    20. Tortorella, Guilherme L. & Fogliatto, Flavio S. & Saurin, Tarcísio A. & Tonetto, Leandro M. & McFarlane, Duncan, 2022. "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak," Technovation, Elsevier, vol. 111(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11521-:d:1202390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.