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¶ … Internet also known as the big data to the market researchers. The article also aims to show the disadvantages associated with the big data like privacy issues. The article presents two dimensions of the Internet use, its benefits, and disadvantages. However, its analysis lies more on the benefits than the disadvantages. The major reasons for supporting these aims are premised on the authors' ability to identify the benefits and the risks associated with the big data and their analysis to support the claims. Through this, they succeed in convincing the reader about the benefits and dangers associated with of the Internet (Nunan & Di Domenico, 2013).
The authors have used different research strategies to support their purposes. They used empirical studies conducted by other researchers like MRS 2006, Leigh 2010, Jacobs 2009, Ohm 2009, and IBM to support their case. For example, they obtained information from MRS' 2006 research to prove their claim about the usefulness of the Internet in helping market researchers...
In addition, they use the IBM's results to determine the amount of intent data/information obtained in a two-year period (Herodotou et al., 2011). The data helped them in evaluating the privacy issues and the ways in which the market researchers have utilized the information for promoting innovation in product development. They have also used Leigh's 2010 and Ohm's 2009 studies to expose the privacy issues related to the Internet use by the public. This review helps them support the purposes stated in the previous analysis.
One of the main issues related to the Internet that the article puts across is the privacy issues relating to using big data. The Internet lacks privacy because the information of its users is always at risks of being accessed by a third party using means like hacking among other ways. The article also shows that the Internet is beneficial to the market researchers using it to ways of promoting product innovation and…
Reference
Nunan, D., & Di Domenico, M. (2013). Market research and the ethics of big data. The International Journal of Market Research, 55(4), 2-13.
Herodotou, H., Lim, H., Luo, G., Borisov, N., Dong, L., Cetin, F.B., & Babu, S. (2011). Starfish: A self-tuning system for big data analytics. In CIDR (pp. 261 -- "272). Retrieved from http://x86.cs.duke.edu/~gang/documents/CIDR11_Paper36.pdf
Big data is a new frontier in innovation, characterized by vast data sets that require extensive computer processing to spot trends, and improve productivity. The ability to gather such data sets and effectively translate them in to strategy is seen as a new way of competing and innovating (Manyika et al., 2011). My area of interest is fashion, an area where creativity remains more important than data processing. Yet, big
Big Data Faris (2013) speculates as to whether NSA leaks will compromise big data's future. The article, published on the website Dataversity, notes that there is public concerns about data leaks at NSA. Consumers are becoming more aware about just how much of their information is available to the government. The author calls into question the dichotomy of private data and public data, in particular were corporate entities are gathering data,
875). Often success introduces complacency, rigidity, and over confidence that eventually erode a firm's capability and product relevance. Arie de Geus (1997) identified four main traits for a successful firm; the first is the ability to change with a changing environment (Lovas & Ghoshal, 2000, p.875). A successful firm is capable of creating community vision, purpose, and personality, and it is able to develop and maintain working relationships. Lastly, a
Introduction Big data has become one of the most important aspects of supply chain management. The concept of big data refers to the massive data sets that are generated when millions of individual activities are tracked. These data sets are processed to yield insights that help inform managerial decision-making. Supply chains in particular have leveraged big data because companies have been able to develop technology to not only capture hundreds of
Zaslavsky is the leader of the Semantic Data Management Science Area (SMSA). He has published more than 300 publications on science and technology. Perera has vast experience in computing and technology as he is a member of the Commonwealth Scientific and Industrial Research Organization alongside publishing numerous journals. Georgakopoulos is the Director of Information Engineering Laboratory. He has published over 100 journals on issues related to science and technology
There is a very high aversion to risk as a result throughout the primary customer base. D. Market Segmentation and Targeting The following pie chart illustrates the market segmentation and need for targeting by service area in this market. Figure 1, Market Segmentation by Outlet and Service illustrates the percentage of revenue by product and service within the financial news market. Figure 1: Market Segmentation by Outlet and Service Product/Services Share Audio 1.0% News reporting text 50.0% Photographs and