Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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A Study on the Factors Affecting the Decision Making Satisfaction and User Behavior of Big Data Characteristics

빅데이터 특성이 의사결정 만족도와 이용행동에 영향을 미치는 요인에 관한 연구

  • Received : 2021.01.09
  • Accepted : 2021.01.28
  • Published : 2021.02.28
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Abstract

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

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References

  1. Ahituv, N., "A Systematic Approach Toward Assessing the Value of an Information System", MIS Quarterly, Vol. 4, No. 4, 1980, pp. 61-75. https://doi.org/10.2307/248961
  2. Bag, S., Wood, L. C., Xu, L., Dhamija, P., and Kayikei, Y., "Big Data Analytics as an Operational Excellence Approach to Enhance Sustainable Supply Chain Performance, Resources", Conservation & Recycling, Vol. 153, 2020, pp. 1-9.
  3. Ballou, D. P. and Pazer, H. L., "Designing Information Systems to Optimize the Accuracy-timeliness Tradeoff", Information Systems Research, Vol. 6, No. 1, 1995, pp. 51-81. https://doi.org/10.1287/isre.6.1.51
  4. Ballou, D. P. and Pazer, H. L., "The Impact of Inspector Fallibility on the Inspection Policy Serial Production System", Management Science, Vol. 28, No. 4, 1982, pp. 387-399. https://doi.org/10.1287/mnsc.28.4.387
  5. Barkhi, R. and Kao, Y. C., "Evaluating Decision Making Performance in the GDSS Environment Using Data Envelopment Analysis", Decision Support Systems, Vol. 43, No. 2, 2010, pp. 177-187.
  6. Benbasat, I., Gefen, D., and Pavlou, P. A., "Special Issue : Trust in Online Environments", Journal of Management Information Systems, Vol. 24. No. 4, 2008, pp. 5-11. https://doi.org/10.2753/MIS0742-1222240400
  7. Bharati, P. and Chaudhury, A., "An Empirical Investigation of Decision Making Satisfaction in Web Based Decision Support Systems", Decision Support Systems, Vol. 37, No. 2, 2004, pp. 187-197. https://doi.org/10.1016/S0167-9236(03)00006-X
  8. Codd, G., "A Relational Model of Data for Large Shared Data Ganks", Communication of the ACM, Vol. 13, No. 6, 1970, pp. 377-387. https://doi.org/10.1145/362384.362685
  9. Cui, Y., Kara, S., and Chan, K. C., "Manufacturing Big Data Ecosystem : A Systematic Literature Review", Robotics and Computer Integrated Manufacturing, Vol. 62, 2020, pp. 1-20.
  10. Delone, W. H. and McLean, E. R., "Information Systems Success : The Quest for the Dependent Variable", Information Systems Research, Vol. 3, No. 1, 1992, pp. 60-95. https://doi.org/10.1287/isre.3.1.60
  11. Deming, K., Our of the Crisis, Cambridge, Mass. : MIT Center for Advanced Eng., Study., 1986.
  12. Dobyns, L. and Crawford-Mason, C., "Quality or Else : the Revolution in World Business", Regional Business, 1991.
  13. Forbes, 10 Charts That will Change Your Perspective on Artificial Intelligence's Growth, 2018. 1.
  14. Galetsi, P., Katsaliaki, K., and Kumar, S., "Big Data Analytics in Health Sector : Theoretical Framework, Techniques and Prospects", International Journal of Information Management, Vol. 50, 2020, pp. 206-216. https://doi.org/10.1016/j.ijinfomgt.2019.05.003
  15. Georgiadou, E., Angelopoulos, S., and Drake, H., "Big Data Analytics and International Negotiations : Sentiment Analysis of Brexit Negotiating Outcomes", International Journal of Information Management, Vol. 51, 2020, pp. 1-9.
  16. Ghasemaghaei, M., "The Role of Positive and Negative Valence Factors on the Impact of Bigness of Data on Big Data Analytics Usage", International Journal of Information Management, Vol. 50, 2020, pp. 395-404. https://doi.org/10.1016/j.ijinfomgt.2018.12.011
  17. Goes, P. B., "Editor's Comments : Big Data and IS Research", MIS Quarterly, Vol. 38, No. 3, 2014, pp. 3-8.
  18. IBM, "The Four V's of Big Data", Edited by Lauren Mobertz, July 28. 2013.
  19. Juran, J. M., "Juran on Quality by Design : The New Steps for Planning Quality info Goods and Services", New York Free Press, 1992.
  20. Queiroz, M. M. and Wamba, S. F., "Blockchain Adoption Challenges in Supply Chain : An Empirical Investigation of The Main Drivers in India and The USA", International Journal of Information Management, Vol. 46, 2019, pp. 70-82. https://doi.org/10.1016/j.ijinfomgt.2018.11.021
  21. Shamim, S., Zeng, J., Shariq, S. M., and Khan, Z., "Role of Big Data Management in Enhancing Big Data Decision-Making Capability and Quality Among Chinese Firms : A Dynamic Capabilities View", Information and Management, Vol. 56, No. 6, 2019, pp. 1-12. https://doi.org/10.1016/j.im.2018.05.014
  22. Wand, Y. and Wang, R. Y., "Anchoring Data Quality Dimensions in Ontological Foundations", Communications of the ACM, Vol. 39, No. 11, 1997, pp. 1-10.
  23. Woo, H. J., A Study on Big Data's Identity and The Relation to Decision Satisfaction, Unpublished Ph.D. Dissertation, Hankuk University of Foreign Studies, 2015.
  24. World Economics Forum(WEF), The Future of Jobs, 2018. 9.
  25. Yang, R., Yu, L., Zhao, Y., Yu, H., Xu, G., and Wu, Y., "Big Data Analytics for Financial Market Volatility Forecast Based on Support Vector Machine", International Journal of Information Management, Vol. 50, 2020, pp. 452-462. https://doi.org/10.1016/j.ijinfomgt.2019.05.027
  26. Zmud, K., "An Empirical Investigation of the Dimensionality of the Concept of Information", Decision Sciences, Vol. 9, No. 2, 1978, pp. 187-195. https://doi.org/10.1111/j.1540-5915.1978.tb01378.x