According to Bryman and (Bell 2015), we all live in the world of the age of data, where everything has been linked to the source of data and everything has been captured digitally. Based on this author critique highlights that the technology could be neither good nor bad. Technology interaction to the social ecology is in regards that the technical development could frequently have the social, human and the environmental consequences (Bryman and Bell, 2015). The emergence of the era of the big data attracts the attention of the organizations, the academics, economists, mathematicians, sociologist as well as the other scholars. Moreover, the US government in 2012 had started the Big Data Research as well as the development initiative. They launched into the special issue when it came to the big data (Davenport, 2013). Based in science it has established a special issue on dealing with the big data that illustrate on the significance of the big data especially to the scientific research. The development as well as the utilization of the big data could be spread through the medical field, manufacturing, logistics, as well as the other industries, which have generated on the social value and the potential.
This research problem is to examine on the provocation of the big data as well as the weaknesses as well as the strength of collecting the Big Data via the social media. It further, examines as to whether the big data could provide the best information to the researcher.
There has been a new ecosystem around the Big Data, which creates the new kind of the divide in the digital aspects where there is the big data rich, and the big data poor (Trainor, Andzulis, J. Rapp & Agnihotri, 2014). Some of the company researchers have gone as far as to suggest that the academics should not bother in studying of the social media. The effective democratisation could be measured through essential criterion. There has been criticism that the difficulty as well as the expense, which has been exhibited in the access to the big data, could produce the restricted culture for the research findings. The large data organization they do not have responsibility when making the data available and they have the total control over which individual get to see the data (Trainor, Andzulis, Rapp & Agnihotri, 2014). I guess this not ethical especially when entity want to compare the data of the organization concerning a given service and they want to benchmark to improve on theirs. The big data researchers who have an access to the proprietary data sets are much less to choose the questions, which are essentially contentious especially when it comes to the social media company.
Given the rise in the Big Data as well as the socio-technical phenomenon, it can be argued that it is necessary to critically interrogate the assumptions and the biasness brought by the research. In the research, it offers six provocation aimed at sparkling of the conversations in regards to the issues of the big data (Hair, 2015). These issues are the cultural, technological, as well as scholarly phenomenon, which rest on the interplay of the technology.
Bryman, A. and Bell, E., 2015. Business research methods. Oxford University Press, USA.
Davenport, T.H., 2013. Process innovation: reengineering work through information technology. Harvard Business Press.
Hair, J. F. (2015). Essentials of business research methods. ME Sharpe.
Trainor, K. J., Andzulis, J. M., Rapp, A., & Agnihotri, R. (2014). Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM. Journal of Business Research, 67(6), 1201-1208.
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