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Nonlinear Relationship Analysis of Factors Influencing Decision Making by Smartphone

스마트폰에 의한 의사결정 영향 요인의 비선형 관계 분석

  • Park, So-Young (Dept of Faculty of Data Science for sustainable Growth at Jeju National University) ;
  • Kim, Mincheol (Dept of Faculty of Data Science for sustainable Growth & Chief of Tourism, Business, and Economic Research Institute, Jeju National University) ;
  • Lee, Chang-Hoon (Dept of Management Science and Entrepreneurship, University of Essex)
  • Received : 2021.04.19
  • Accepted : 2021.05.07
  • Published : 2021.06.30

Abstract

The purpose of this study was to explore what factors influenced users using smartphones in their decision making. In this study, intimacy/personal connectivity, use/dependence, familiarity/professionalism, efficacy/effectiveness, self-identity, control, etc. were set as independent variables and decision-making as dependent variables. In this study, 200 smartphone users were collected and analyzed through a questionnaire, and a nonlinear analysis method using WarpPLS software was utilized to identify the effects between variables. As a result, this study confirmed that factors in smart phone ownership (SPO) could affect individual decision-making and identify that users' psychological factors in the use of smart devices would be directly related to the outcome of decision-making. Through this, it is possible to understand the development of future industries and the acceptability of users using smart devices. and will be meaningful research in tourism, new product development, or continuous brand development.

본 연구의 목적은 스마트폰을 사용하는 사용자들이 의사결정에 어떤 요소를 통해 영향을 미치는지 탐구하는 것이었다. 본 연구는 친밀감/개인 연결성, 사용/의존성, 친숙함/전문성, 효능/효과, 자아정체성, 제어 등을 독립변수로 설정하고 의사결정은 종속 변수로 설정하였다. 본 연구에서는 스마트폰 사용자 200명을 설문지를 통해 수집·분석하였으며, 변수 간 영향을 파악하기 위해 WarpPLS를 사용하였다. 이 연구는 사용자의 심리적인 의사결정이 스마트 기기에 어떤 요인으로 영향을 미치며, 이를 통해 미래 산업의 발전과 스마트 기기를 사용하는 사용자들의 특성과 수용성을 파악할 수 있다.

Keywords

Acknowledgement

This research was supported by the 2020 scientific promotion program funded by Jeju National University

References

  1. P. Cowie, L. Townsend, and K. Salemink, "Smart rural futures: Will rural areas be left behind in the 4th industrial revolution?," Journal of Rural Studies, vol. 79, pp. 169-176, Oct. 2020. https://doi.org/10.1016/j.jrurstud.2020.08.042
  2. K. Schwab, The 4th Industrial Revolution London, Penguin Books, 2017.
  3. Y. J. Park, "Strategy for building a smart city as a platform for the Fourth Industrial Revolution," Journal of Digital Convergence Research, vol. 17, no. 1, pp. 169-177, Jan. 2019.
  4. A. C. Egon, "The psychological impact of smartphones: The effect of access to one's smartphone on psychological power, risk taking, cheating, and moral orientation," Ph. D. dissertation, Thesis. Loyola University, Chicago, 2016.
  5. J. H. Park, "Smartphone-dependent awareness and coping behavior of college students," Journal of Korean Academia-Industrial cooperation Society, vol. 22, no. 2, pp. 336-344, Feb. 2021.
  6. S. Y. Park and M. C. Kim, "Exploring the Factors of Decision Making by the Psychological Power of Smartphone," Journal of Digital Convergence, vol. 17, no. 8, pp. 197-204, Aug. 2019. https://doi.org/10.14400/JDC.2019.17.8.197
  7. Y. S. Hwang and K. T. Kim, "The study of explainability of algorithm-based automated decision making," Journal of Communication Research, vol. 57, no. 3, pp. 41-80, Aug. 2020. https://doi.org/10.22174/JCR.2020.57.3.41
  8. S. H. Lee and S. R. Baek, "Effects of the Technological and Individual Characteristics of Army Tactical Command Information System on Situation Awareness and Decision Making," Journal of the Korean Operations Research and Management Science Society, vol. 45, no. 2, pp. 25-42, May. 2020. https://doi.org/10.7737/jkorms.2020.45.2.025
  9. N. J. Fast and J. Schroeder, "Power and decision making: new directions for research in the age of artificial intelligence," Journal of Current Opinion in Psychology, vol. 33, pp. 172-176. Jun. 2020. https://doi.org/10.1016/j.copsyc.2019.07.039
  10. H. Shaw, D. A. Ellis, and F. V. Ziegler, "The Technology Integration Model (TIM). Predicting the continued use of technology," Journal of Computers in Human Behavior, vol. 83, pp. 204-214, Feb. 2018. https://doi.org/10.1016/j.chb.2018.02.001
  11. D. A. Ellis, "Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors," Journal of Computers in Human Behavior, vol. 97, pp. 60-66, Feb. 2018. https://doi.org/10.1016/j.chb.2019.03.006
  12. D. A. Ellis, B. I. Davidson, H. Shaw, and K. Geyer, "Do smartphone usage scales predict behaviour?," International Journal of Human-Computer Studies, vol. 130, pp. 86-92, Oct. 2019. https://doi.org/10.1016/j.ijhcs.2019.05.004
  13. N. J. Fast and J. Schroeder, "Power and decision making: new directions for research in the age of artificial intelligence," Journal of Current Opinion in Psychology, vol. 33, pp. 172-176, Jun. 2020. https://doi.org/10.1016/j.copsyc.2019.07.039
  14. Y. Ding, Y. Cao, Q. Qu, and V. G. Duffy, "An exploratory study using Electroencephalography (EEG) to measure the smartphone user experience in the short term," International Journal of Human-Computer Interaction, vol. 36, no. 11, pp. 1008-1021, Jan. 2020. https://doi.org/10.1080/10447318.2019.1709330
  15. R. Iliescu, A. Kumaravel, L. Smurawska, J. Torous, and M. Keshavan, "Smartphone ownership and use of mental health applications by psychiatric inpatients," Journal of Psychiatry Research, vol. 299, pp. 113806, Feb. 2021. https://doi.org/10.1016/j.psychres.2021.113806
  16. B. L. Curtis, R. D. Ashford, K. I. Magnuson, and S. R. Ryan-Pettes, "Comparison of smartphone ownership, social media use, and willingness to use digital interventions between generation z and millennials in the treatment of substance use: Cross-sectional questionnaire study," Journal of Medical Internet Research, vol. 21, no. 4, pp. e13050, Apr. 2019. https://doi.org/10.2196/13050
  17. P. Bossaerts and C. Murawski, "Computational complexity and human decision-making," Trends in Cognitive Sciences, vol. 21, no. 12, pp. 917-929, Dec. 2017. https://doi.org/10.1016/j.tics.2017.09.005
  18. B. Seong and T. Kim, "Analysis of Factors Affecting Company Growth using PLS Structural Equation," Journal of the Korea Convergence Society, vol. 10, no. 9, pp. 209-219, Sept. 2019.
  19. N. Kock and P. Hadaya, "Minimum sample size estimation in PLS-SEM: The inverse square root and gamma- exponential methods," Information Systems Journal, vol. 28, no. 1, pp. 227-261, Nov. 2018. https://doi.org/10.1111/isj.12131
  20. K. N. Mpeta, "Efficiency of the structural equation model and related models in validating the theory of planned behaviour," Ph. D. dissertation, North-West University, South Africa, 2019.
  21. J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, "When to use and how to report the results of PLS-SEM," European Business Review, vol. 31, no. 1, pp. 2-24, Jan. 2019. https://doi.org/10.1108/EBR-11-2018-0203
  22. Jr. J. F. Hair, M. C. Howard, and C. Nitzl, "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, vol. 109, pp. 101-110, Mar. 2020. https://doi.org/10.1016/j.jbusres.2019.11.069
  23. S. Hong and B. Kim, "A Study on Antecedents of Game User Participation Intention in User Community in an Era of Convergence," Journal of Digital Convergence, vol. 14, no. 8, pp. 185-194, Aug. 2016. https://doi.org/10.14400/JDC.2016.14.8.185
  24. N. Kock, "Factor-based structural equation modeling with WarpPLS," Australasian Marketing Journal (AMJ), vol. 27, no. 1, pp. 57-63, Feb. 2019. https://doi.org/10.1016/j.ausmj.2019.02.002
  25. M. Sarstedt, C. M. Ringle, and J. F. Hair, "Partial least squares structural equation modeling," Handbook of market research, vol. 26, no. 1, pp. 1-40, sept. 2017.
  26. O. Boubker and K. Douayri, "Dataset on the relationship between consumer satisfaction, brand attitude, brand preference and purchase intentions of dairy product: The case of the Laayoune-Sakia El Hamra region in Morocco," Data in brief, vol. 32, pp. 106172, Oct. 2020. https://doi.org/10.1016/j.dib.2020.106172
  27. N. Kock, WarpPLS user manual: Version 6.0. ScriptWarp Systems: Laredo, TX : USA, 2017.
  28. J. R. Park and S. D. Kwon, "The Effect of Smart Working and Psychological Attachment from Work on Right to Disconnect: Focused on Moderating Effect of Open Communication and Gender," Journal of Information Technology Applications and Management, vol. 26, no. 1, pp. 77-93, Feb. 2019.