Abstract
The big data analytics (BDA) has dragged tremendous attention in healthcare organizations. Healthcare organizations are investing substantial money and time in big data analytics and want to adopt it to get potential benefits. Thus, this study proposes a BDA adoption model in healthcare organizations to explore the critical factors that can influence its adoption process. The study extends the technology acceptance model (TAM) with the self-efficacy as an external factor and also includes gender and resistance to change (RTC) as moderators to strengthen the research model. The proposed research model has been tested on 283 valid responses which were collected through a structured survey, by applying structural equation modeling. Our results portray that self-efficacy is a strong predictor of intention to use BDA along with other TAM factors. Moreover, it is confirmed by the results that RTC dampens the positive relationship between intention to use and actual use of BDA in healthcare organizations. The outcomes revealed that male employees as compared to female employees are dominant towards the positive intention to use BDA. Furthermore, females create more RTC than males while adopting BDA in healthcare organizations. Theoretical and practical implications, limitations, and future research directions also underlined in this study.
Highlights
In today’s technology-oriented world, the use of information technology (IT) is increasing, and the final data generation is extremely fast
Previous studies have found that people with more computer self-efficacy (SE) feel a technology is more useful and easier to use [12,13,14,15,16,17,18]. erefore, this study describes SE as an external factor which is integrated with the technology acceptance model (TAM) to design the framework for the current study
In this study to preserve content validity, the authors adopted the measures from the same context of previous studies. e detailed measurement items are provided in Table 1. e questionnaire was divided into three units; the first unit described the purpose and introduction of search with the surety to keep the data secret, and the results of the research will be shared with them. e second unit consisted of demographical information like gender, age, education, and the third unit consisted of 20 items of all variables
Summary
In today’s technology-oriented world, the use of information technology (IT) is increasing, and the final data generation is extremely fast. Many resources, such as cell phones, computers, medical records, government records, and social media, are continuously generating data at a very high pace. BDA can help to suggest prescription, forecast the future trend of diseases, manage better patient health records, and use it for strategy making [3]. E best example of the use of BDA in healthcare is Google flu trend (GFT) in which they predict the reasons for the H1N1 flu virus and gather the data of patients through BDA. Healthcare organizations can adopt a sustainable healthcare system in the form of BDA [4]
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