Artificial intelligence: disrupting what we know about services

被引:129
|
作者
Bock, Dora E. [1 ]
Wolter, Jeremy S. [1 ]
Ferrell, O. C. [1 ]
机构
[1] Auburn Univ, Dept Mkt, Auburn, AL 36849 USA
关键词
Technology adoption; Technology readiness; Service delivery; Artificial intelligence; Automated technology; Machine learning; Blockchain; Robots; Technology infusion; CUSTOMER PERCEPTIONS; EMOTIONAL CONTAGION; PROFIT CHAIN; QUALITY; GRATITUDE; EMPLOYEE; IMPACT; PERFORMANCE; REVOLUTION; DISSATISFACTION;
D O I
10.1108/JSM-01-2019-0047
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Artificial intelligence (AI) is currently having a dramatic impact on marketing. Future manifestations of AI are expected to bring even greater change, possibly ushering in the realization of the fourth industrial revolution. In accord with such expectations, this paper aims to examine AI's current and potential impact on prominent service theories as related to the service encounter. Design/methodology/approach This paper reviews dominant service theories and their relevance to AI within the service encounter. Findings In doing so, this paper presents an integrated definition of service AI and identifies the theoretical upheaval it creates, triggering a plethora of key research opportunities. Originality/value Although scholars and practitioners are gaining a deeper understanding of AI and its role in services, this paper highlights that much is left to be explored. Therefore, service AI may require substantial modifications to existing theories or entirely new theories.
引用
收藏
页码:317 / 334
页数:18
相关论文
共 50 条
  • [1] WHAT DO WE KNOW ABOUT INTELLIGENCE
    GOTTFREDSON, LS
    AMERICAN SCHOLAR, 1996, 65 (01): : 15 - 30
  • [2] What do we really know about services?
    Gary Akehurst
    Service Business, 2008, 2 : 1 - 15
  • [3] What do we really know about services?
    Akehurst, Gary
    SERVICE BUSINESS, 2008, 2 (01) : 1 - 15
  • [4] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
    Ali, Sajid
    Abuhmed, Tamer
    El-Sappagh, Shaker
    Muhammad, Khan
    Alonso-Moral, Jose M.
    Confalonieri, Roberto
    Guidotti, Riccardo
    Del Ser, Javier
    Diaz-Rodriguez, Natalia
    Herrera, Francisco
    INFORMATION FUSION, 2023, 99
  • [5] Societal guardrails for AI? Perspectives on what we know about public opinion on artificial intelligence
    Eom, Dayeon
    Newman, Todd
    Brossard, Dominique
    Scheufele, Dietram A.
    SCIENCE AND PUBLIC POLICY, 2024, 51 (05) : 1004 - 1013
  • [6] "We know what we are doing": the politics and trends in artificial intelligence policies in Africa
    Kwarkye, Thompson Gyedu
    CANADIAN JOURNAL OF AFRICAN STUDIES, 2025,
  • [7] What should medical students know about artificial intelligence in medicine?
    Park, Seong Ho
    Do, Kyung-Hyun
    Kim, Sungwon
    Park, Joo Hyun
    Lim, Young-Suk
    JOURNAL OF EDUCATIONAL EVALUATION FOR HEALTH PROFESSIONS, 2019, 16
  • [8] What Every Biologist Needs to Know About Artificial Intelligence.
    Burgoon, L. D.
    IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-ANIMAL, 2021, 57 (SUPPL 1) : S13 - S13
  • [9] What we (don't) know about what we know
    Sher, Shlomi
    Winkielman, Piotr
    BEHAVIORAL AND BRAIN SCIENCES, 2014, 37 (01) : 38 - 39
  • [10] What we know and what we do not know about DMN
    Figl, Kathrin
    Mendling, Jan
    Tokdemir, Gul
    Vanthienen, Jan
    ENTERPRISE MODELLING AND INFORMATION SYSTEMS ARCHITECTURES-AN INTERNATIONAL JOURNAL, 2018, 13