skip to main content
10.1145/3396743.3396791acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmsieConference Proceedingsconference-collections
research-article

A Model of Consumer Perception and Behavioral Intention for AI Service

Authors Info & Claims
Published:29 May 2020Publication History

ABSTRACT

The success of AlphaGo makes artificial intelligence once again widely reported and concerned. At present, artificial intelligence has gone from speech recognition to natural language processing to smart voice assistants, from graphic recognition to machine vision to smart supermarkets. The application of artificial intelligence has made significant progress in many fields, and smart speakers with natural language processing as the core technology are currently attracting attention. AI application services based on natural language technology include mobile phone voice assistants, smart speakers, and humanoid robots. Although these different types of AI application services are given the important task of human-machine communication and service interface in the future AI society, the common point is that these smart speakers have the service function of dissemination. The application of AI is an important issue for the development of various types of industries in the next few years. Unfortunately, there is a lack of research in this area in the previous literature. We also build some propose management of AI service implications for physical bookstores management based on the results of model analysis.

References

  1. Abid, A., Khemakhem, M. T., Marzouk, S., Jemaa, M. B., Monteil, T., Drira, K. (2014), "Positioning Antifragility for Clouds on Public Infrastructures", Procedia Computer Science, Res. 32, 850 - 855.Google ScholarGoogle ScholarCross RefCross Ref
  2. Adams, D. A; Nelson, R. R.; Todd, P. A. (1992), "Perceived usefulness, ease of use, and usage of information technology: A replication", MIS Quarterly, 16 (2): 227--247.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Ajzen, I. (1991). "The theory of planned behavior", Organizational Behavior and Human Decision Processes. 50 (2): 179--211.Google ScholarGoogle ScholarCross RefCross Ref
  4. Arentze, T. A., Dellaert, B. G., and Chorus, C. G. (2014). "Incorporating Mental Representations in Discrete Choice Models of Travel Behavior: Modeling Approach and Empirical Application". Transportation Science, Res. 49(3), 577--590.Google ScholarGoogle Scholar
  5. Hsiao, M. H. (2009), "Shopping mode choice: Physical store shopping versus e-shopping," Transportation Research Part E, 45, 86--95.Google ScholarGoogle ScholarCross RefCross Ref
  6. Huang, M. H., Rust, R. T. (2018), "Artificial Intelligence in Service", Journal of Service Research, 21 (2), 155--172.Google ScholarGoogle ScholarCross RefCross Ref
  7. Kambhampati, S. (2019), "Synthesizing Explainable Behavior for Human-AI Collaboration", Proceedings of the 18th International Conference on Autonomous Agents and Multi Agent Systems, 1--2.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Paulssen, M., Temme, D., Vij, A., and Walker, J. L. (2014), "Values, Attitudes and Travel Behavior: A Hierarchical Latent Variable Mixed Logit Model of Travel Mode Choice," Transportation, 41(4), 873--888.Google ScholarGoogle ScholarCross RefCross Ref
  9. Ram, J. & Wu, M. L. (2016), "A fresh look at the role of switching cost in influencing customer loyalty: Empirical investigation using structural equation modelling analysis", Asia Pacific Journal of Marketing and Logistics, Res. 28(4), 616--633.Google ScholarGoogle Scholar
  10. Rodríguez, R., Soria, A., Campo, M (2015), "AI-based Web Service Composition: A Review", IETE Technical Review, 33 (4), 378--385.Google ScholarGoogle ScholarCross RefCross Ref
  11. Thiebaut, R. (2019), "AI Revolution: How Data Can Identify and Shape Consumer Behavior in Ecommerce", Zhang Entrepreneurship and Development in the 21st Century, 191--229.Google ScholarGoogle Scholar
  12. Xiao, D. F., Bai, G. & Huang, Y. K. (2014). "A Model of Consumer Perception and Behavioral Intention for E-Reading", The SIJ Transactions on Industrial, Financial & Business Management, 2(6), pp. 290--295.Google ScholarGoogle Scholar
  13. Zhang, Y., Qi, S. (2019), "User Experience Study: The Service Expectation of Hotel Guests to the Utilization of AI-Based Service Robot in Full-Service Hotels", 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A Model of Consumer Perception and Behavioral Intention for AI Service

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      MSIE '20: Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering
      April 2020
      341 pages
      ISBN:9781450377065
      DOI:10.1145/3396743

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 May 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader