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Connecting artificial intelligence to value creation in services: mechanism and implications

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  • Minjun Kim

    (Kumoh National Institute of Technology)

Abstract

Artificial intelligence (AI) is transforming services by providing personalized solutions, enhancing customer experience, and reducing operational costs. To tackle the challenges posed by the extensive and diverse literature on AI services, a comprehensive review was conducted using text mining techniques on journal articles. Twelve key research topics were identified, and the enabler–interface–business framework was developed. In addition, a value creation mechanism for AI services consisting of 6Cs (i.e., connection, collection, and computation, communication, control, and co-creation) was proposed. The study provides a complete overview of AI services, facilitating academic discussion and industrial transformation.

Suggested Citation

  • Minjun Kim, 2023. "Connecting artificial intelligence to value creation in services: mechanism and implications," Service Business, Springer;Pan-Pacific Business Association, vol. 17(4), pages 851-878, December.
  • Handle: RePEc:spr:svcbiz:v:17:y:2023:i:4:d:10.1007_s11628-023-00547-7
    DOI: 10.1007/s11628-023-00547-7
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    1. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    2. Vangelis Marinakis & Themistoklis Koutsellis & Alexandros Nikas & Haris Doukas, 2021. "AI and Data Democratisation for Intelligent Energy Management," Energies, MDPI, vol. 14(14), pages 1-14, July.
    3. Polyxeni Vassilakopoulou & Arve Haug & Leif Martin Salvesen & Ilias O. Pappas, 2023. "Developing human/AI interactions for chat-based customer services: lessons learned from the Norwegian government," European Journal of Information Systems, Taylor & Francis Journals, vol. 32(1), pages 10-22, January.
    4. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    5. Carlos Flavián & Luis V. Casaló, 2021. "Artificial intelligence in services: current trends, benefits and challenges," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 853-859, October.
    6. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    7. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    8. Glyn Atwal & Douglas Bryson, 2021. "Antecedents of intention to adopt artificial intelligence services by consumers in personal financial investing," Post-Print hal-03330375, HAL.
    9. Ayman Abu-Rumman & Ata Shraah & Faisal Al-Madi & Tasneem Alfalah, 2021. "Entrepreneurial networks, entrepreneurial orientation, and performance of small and medium enterprises: are dynamic capabilities the missing link?," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
    10. Fotis Kitsios & Maria Kamariotou, 2021. "Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    11. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
    12. Ji-Hyoung Chin & Chanwook Do & Minjung Kim, 2022. "How to Increase Sport Facility Users’ Intention to Use AI Fitness Services: Based on the Technology Adoption Model," IJERPH, MDPI, vol. 19(21), pages 1-12, November.
    13. Sandra Maria Correia Loureiro & Ricardo Godinho Bilro & Diogo Neto, 2023. "Working with AI: can stress bring happiness?," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 233-255, March.
    14. Bo Huang & Matthew Philp, 2021. "When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 877-899, October.
    15. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    16. Xu, Yingzi & Shieh, Chih-Hui & van Esch, Patrick & Ling, I-Ling, 2020. "AI customer service: Task complexity, problem-solving ability, and usage intention," Australasian marketing journal, Elsevier, vol. 28(4), pages 189-199.
    17. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
    18. Eduard Anton & Thuy Duong Oesterreich & Julian Schuir & Leslie Protz & Frank Teuteberg, 2021. "A Business Model Taxonomy for Start-Ups in the Electric Power Industry — The Electrifying Effect of Artificial Intelligence on Business Model Innovation," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-54, May.
    19. Daniela Castillo & Ana Isabel Canhoto & Emanuel Said, 2021. "The dark side of AI-powered service interactions: exploring the process of co-destruction from the customer perspective," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 900-925, October.
    20. Sang M. Lee & DonHee Lee, 2020. "“Untact”: a new customer service strategy in the digital age," Service Business, Springer;Pan-Pacific Business Association, vol. 14(1), pages 1-22, March.
    21. Qi Yao & Zhangjian Wu & Wenkai Zhou, 2022. "The impact of social class and service type on preference for AI service robots," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(4), pages 1049-1066, February.
    22. P. Kumar & S.K. Sharma & Vincent Dutot, 2023. "Artificial Intelligence (AI)-Enabled CRM Capability in Healthcare: The Impact on Service Innovation," Post-Print hal-04292614, HAL.
    23. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    24. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    25. Minjun Kim & Silvana Trimi, 2023. "Transforming data into information for smart services: integration of morphological analysis and text mining," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 257-280, March.
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