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Table 1 Relevant work

From: Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

Authors Year Important aspects Limitations
Esteves and Curto [21] 2013 Predicted behavioral intention to use big data technology by using the theory of planed behavior based on risk and benefits point of view Small sample size was used to test the proposed model and insufficient theoretical base provided
Mahmood and Afzal [51] 2013 Provided survey on description, technology, trend, and tools of cybercrime security in Pakistan by using big data analytics Big data analytics adoption model not provided
Tsai et al. [52] 2015 Provided a brief introduction of big data analytics to help in developing high performance platform and mining algorithm for big data analytics Did Not predict the behavior of a user regarding use of big data analytics
Malaka and Brown [40] 2015 Investigated the adoption of big data analytics in organization prospective by using technology organization environment model User centric approach was ignored by the study
Archenaa and Anita [53] 2015 Conducted a survey to explore the importance, benefits, and need of big data analytics in healthcare and government Empirical evidence regarding adoption from citizen prospective and security of information was ignored in the study
Soon et al. [54] 2016 Demonstrated the big data analytics adoption by using the technology acceptance model and diffusion of innovation model and explored the moderating effects of training in Malaysia The scope of the study was restricted to only private organizations which inferred the generalization of the study
LaBrie et al. [55] 2017 Provided a comparative study of china and USA to understand the technology change and big data analytics adoption from a societal perspective Study missed the fit between technology and cultural dimensions of people
Sivarajah et al. [39] 2017 The systematic literature view was performed to identify the challenges in big data analytics To develop the link between theories and practice the empirical analysis was not performed
Memon et al. [56] 2017 Apache Hadoop open source technology was used to check the big data analytics application in the healthcare sector of Pakistan Big data analytics application from a user’s perspective in the healthcare sector of Pakistan was not provided
Brock and Khan [24] 2017 Combined technology acceptance model and organization learning capabilities to explore the factors linked with big data analytics usage Pre-implementation assessment for practitioners was not performed considering the user’s perspective in the adoption of big data analytics
Weerakkody et al. [57] 2017 To investigate the user’s behavioral intentions of big open data. The study applied extended technology acceptance model The study only focused on intention to use only instead of focusing also on actual use of big open data
Arunachalam et al. [58] 2018 Provided comprehensive literature view on capabilities of big data analytics to demonstrate the challenges which help to develop a big data analytics maturity model A phenomenon of restriction to change in the user perspective was not discussed
Gupta et al. [59] 2018 Reviewed big data analytics and provide future research directions of big data analytics Trust, privacy, and information security can be further explained by utilizing the characteristics of big data and cognitive computing