Table 1 Relevant work

Esteves and Curto [21]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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