Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Review and Suggestion of Characteristics and Quality Measurement Items of Artificial Intelligence Service

인공지능 서비스 특징 및 품질측정항목의 고찰과 제안

  • Baek, Chang Hwa (Dept. of Industrial Engineering, Daejin University) ;
  • Choe, Jae Ho (Dept. of Industrial Engineering, Daejin University) ;
  • Lim, Sung Uk (Dept. of Industrial Engineering, Daejin University)
  • 백창화 (대진대학교 산업공학과) ;
  • 최재호 (대진대학교 산업공학과) ;
  • 임성욱 (대진대학교 산업공학과)
  • Received : 2018.08.31
  • Accepted : 2018.09.11
  • Published : 2018.09.30
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Abstract

Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

Keywords

References

  1. Barnes, S.T, and Vidgen, R. 2000. "WebQual : An Exploration of Web-site quality," Proceedings of Eighth European Conference on Information System (EICS), Vienna, 1(July):298-305.
  2. Barnes, S.T, and Vidgen, R. 2002. "An integrative approach to the assessment of e-commerce quality." Journal of Electronic Commerce Research 3(3):114-127.
  3. Brady, M. K. and Cronin Jr. 2001. "Some New Thoughts on Conceptualizing Perceived Service Quality: A Hierarchical Approch." Journal of Marketing 65(4):34-49. https://doi.org/10.1509/jmkg.65.3.34.18334
  4. Buduma, N. and Lacascio, N. 2017. "Fundamentals of Deep Learning." O'Reilly Media Inc.
  5. Burgess, L. 2004. "A Conceptual framework for understanding and measuring perceived service quality in net-based customer support systems."
  6. Byun, Dae Ho. 2017. "An Exploratory Study on Kano Quality Attributes of Artificial Intelligence Secretary." e-business research, 167-178.
  7. Charniak, and McDermott. 1985. Introduction to A.I. Addison-Wesley.
  8. Cronin and Taylor. 1992. "Measuring Service Quality: A Reexamination and Extension." Journal of Marketing 56(3):55-68. https://doi.org/10.1177/002224299205600106
  9. Dictionary of experimental psychology terms.
  10. Electronic & Information Research Information Center. 2016. "Survey results related to artificial intelligence technology." Journal of Electrical Engineering 43(6):62-65.
  11. Froehole, C. and Roth, A. 2004 "New measurement scales for evaluating perceptions of the technology-mediated customer service experience." Journal of Operations Management 22:1-21. https://doi.org/10.1016/j.jom.2003.12.004
  12. Garvin, David A. 1984. "What Does Product Quality Really Mean." Sloan Management Review 23(1):25-44.
  13. Geron, A. 2017. "Hands-On Machine Learning with Scikit-Learn and TensorFlow." O'Reilly Media Inc.
  14. Gronroos, Christian. 1988. "A Service Quality Model and its Marketing Implication." European Journal of Marketing 18(4):36-44. https://doi.org/10.1108/EUM0000000004784
  15. Joo, Kang Jin et al. 2017. "Fourth Industrial Revolution and Artificial Intelligence: An Overview of Current Situation, Case, and Regulation." Journal of the Korean Management Science Society 42(4):1-14.
  16. Jun, Hyun Mo et al. 2016. "Service quality of smartphone delivery app is affected by emotional response and app re-use intention Impact." Korean Journal of Culinary Research 22(2):206-221.
  17. Jung, Dong Gyu. 2017. "Artificial intelligence technology and main applied industry trend." Journal of the Korea Information Science Society 15(2):21-28.
  18. KCERN(Korea Creative Economy Research Network). 2016. "Artificial Intelligence and the Fourth Industrial Revolution." Forum Report 1-182.
  19. Korea Consumer Agency. 2017. "Problems and Improvements of Artificial Intelligence Appliances." Survey report 1-33.
  20. Kim, Hye Kyung, and Kim Wan Ki. 2017. "An Exploratory Study on Artificial Intelligence Shopping Information Service." Journal of Distribution Science 15(4):69-80.
  21. Kim, Youn Jung, and Yoo, Byung Eun. 2016. "Future society change that artificial intelligence technology development will bring" Korea Institute of S&T Evaluation and Planning.
  22. LeCun, Y. et al. 2015. Deep learning. Nature.
  23. Lee, Eung Bong. 2015. "Comparison and Analysis of Library Service Quality Evaluation Research." Journal of the Korean Society for Library and Information Science 49(1):89-111. https://doi.org/10.4275/KSLIS.2015.49.1.089
  24. Lee, Gang Wan. et al. 2016. Dictionary of geospatial information system terminology.
  25. Lee, Hyun Jun and Hwang, Tae Seub. 2017. How to learn about artificial intelligence.
  26. Llosa et al. 1988. "An Empirical Study of Servqual's Dimensionality." The Service Industries Journal 18(2).
  27. McCord, M. C. et al. 2012. "Deep Parsing in Watson IBM." Journal of Research and Development 56(3).
  28. Parasuraman, A., Zeithaml, V. A., and Berry, Leonard. 1985. "A Conceptual Model of Service Quality and Its Implications for Future Research" Journal of marketing 49(4):41-50. https://doi.org/10.1177/002224298504900403
  29. Parasuraman A., Zeithaml, V., and Berry, L. 1988. "SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality." Journal of Retailing 64(Spring):12-40.
  30. Parasuraman A., Zeithaml, V., and Berry, L. 1990. "Delivering Quality Service" Simon & Schuster.
  31. Parasuraman et al. 2002. "E-S-QUAL: A Multi-item Scale for Accessing Electronic Service Quality." Journal of Service Research 7(3):213-233. https://doi.org/10.1177/1094670504271156
  32. Rich, E. and K. Knight. 1991. Artificial intelligence. McGraw-Hill.
  33. Russell, S. 2015. Artificial Intelligence: A Modern Approach. Pearson.
  34. Rust, R. T., and Oliver, R. L. 1994. "Service Quality: Insights and Managerial Implications from the Frontier, in Service Quality." Thousand Oaks CA: Sage Publications 1-19.
  35. Ruyter, K. D. et al. 2001. "Customer adoption of e-service: an experimental study." International journal of service industry management 122:184-207.
  36. Sanjay, K. J., and Garima, G. 2004. "Measuring Service Quality: SERVQUAL vs. SERVPERF Scales." VIKALPA 29(2):25-37.
  37. Sug, Wang Hun, and Lee, Gwang Hee. 2015. "Artificial intelligence technology and industrial potential." Electronics and Telecommunications Research Institute.
  38. Teas, R. K. 1993. "Expectation, Performance Evaluation, and Consumer's Perceptions of Quality." Journal of Marketing 57(4):18-34. https://doi.org/10.2307/1252216
  39. TIPA(Korea Technology and Information Promotion Agency for SMEs). 2017. Small Business Roadmap. Tractica.
  40. Voss, Christopher. 2000. "Rethinking paradigms of service-service in a virtual environment." International Journal of Operations & Production Management 23(1):88-104. https://doi.org/10.1108/01443570310453271
  41. Wolfinbarger, M., and Gilly, C. 2003. "eTailQ: Dimensionalizing, Measuring, and Predicting etail Quality." Journal of Retailing 79(3):183-198. https://doi.org/10.1016/S0022-4359(03)00034-4
  42. Yoo, B., and Donthu, N. 2001. "Developing a Scale to Measure the Perceived Quality of an Internet Shopping Site(Sitequal)." Quartely Journal of Electronic Commerce 2(1):31-46.
  43. Yoo, Soo Jung. 2017. "Fourth Industrial Revolution and Artificial Intelligence." Journal of Korea Multimedia Society 21(4):1-8.
  44. Youn, Jang Woo et al. 2016 "Artificial intelligence technology and policy trends and implications." Electronics and Telecommunications Research Institute 31(2).
  45. Zeithaml et al. 2000. "A conceptual framework for understanding E-service quality; Implication for future research and managerial practice." Working paper Marketing, Science Institute.
  46. Zeithaml, V., and Bitner, M. J. 2003. "Services Marketing: Integrating Customer Focus across the Firm," McGraw-Hill.
  47. Zeithaml, V. A., Parasuraman, A., and Malhotra, A. 2005. e-service Quality: Definition, Dimensions and Control Model. Cambridge: Marketing Science Institute.
  48. Zhang, B. T., and Yeu, M. S. 2012. "Cognitive Computing : Multisensory Perceptual Intelligence." Communications of the Korean Institute of Information Scientists and Engineers 30(1):75-87.
  49. Zurada, J. M. 1992. Introduction to Artificial Neural Systems. West Pub. Com.