Impact of big data analytics on individuals and the South Korean big data analytics market

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Acknowledgments

I would like to acknowledge the comments and editorial assistance received from JITCAR Special Issue Co-Editor Dr. Prasad Padmanabhan and from JITCAR Editor-in-Chief Dr. Shailendra Palvia. Their contributions have improved the manuscript significantly.

Notes

¹ Two more Vs (value and veracity) were later added to this group to generate 5Vs. See Wamba, Akter, Edwards, Chopin, and Gnanzou (2015).

² Descriptive analytics involve mining, analyzing and presenting past data in usable formats.

³ Predictive analytics typically use historical data and probabilistic techniques to extrapolate future outcomes/options and their probabilities of occurrence.

⁴ Prescriptive analytics use optimization techniques to suggest the most viable options to achieve specific goals.

⁵ Quantified self-movement refers to the community of practitioners who collect data about themselves in order to improve their lifestyles and personal decision-making processes. Qualitatively, it is similar in spirit to personal analytics or personal informatics.

⁶ E-health refers to information and services delivered online for diagnosis and monitoring of individual well-being and health conditions.

⁷ The current focus of the general population seems to be on reflection from learning activities, defined as the process of reflecting on one’s past experiences to improve future responses.

⁸ Qualified-self could be understood as objective description of the behavioural and communications patterns of a person based on two types of data. The first refers to quantified self-data (QS) collected by personal analytics apps while the second is contextual data, which, for the time being is self-reported by the user. See Lupton (2013) for more details.

⁹ Korean conglomerates or large groups of companies, such as Samsung, LG, Hyundai, POSCO etc.

¹⁰ Using BDA technology, the government determined that only 8 routes met the required 49% of demand criteria for the introduction of services during wee hours in Seoul. Prior to the use of BDA technology, such services could not be launched because of cost considerations.

Additional information

Notes on contributors

Tahir Hameed

Dr. Tahir Hameed has been associated with SolBridge International School of Business in South Korea since 2012. He teaches courses related to information systems and technology management at the masters and bachelors levels. Prior to joining SolBridge, Dr. Hameed obtained his Ph.D. in Information Technology Management from the Korea Advanced Institute of Science and Technology (KAIST), and obtained his Masters in Computer Science from Lahore University of Management Sciences (LUMS). His research interests include the areas of technology standards, innovation, IT policy, information systems adoption, and organizational knowledge management. He has published extensively in prestigious journals such as Telecommunications Policy, Technological Forecasting and Social Change, World Development, and Journal of Knowledge Management. He has presented several papers at leading conferences. Dr. Hameed’s current research focus is in the areas of health informatics, knowledge management systems, educational information technology, and technology commercialization. He can be reached at [email protected].