Artificial Intelligence-Enabled Customer Value Proposition Capability and Market Performance: The Moderating Role of Environmental Heterogeneity

被引:5
作者
Li, Lixu [1 ]
Tong, Yang [2 ]
Liu, Yaoqi [3 ]
Yang, Shuili [1 ]
机构
[1] Xian Univ Technol, Sch Econ & Management, Xian 710054, Peoples R China
[2] Zhejiang Normal Univ, Coll Econ & Management, Jinhua 321004, Peoples R China
[3] Montpellier Business Sch, F-34185 Montpellier, France
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Discrete cosine transforms; Sensors; Heuristic algorithms; Dynamic scheduling; Technological innovation; Organizations; Artificial intelligence (AI); customer response capabilities; dynamic capabilities theory (DCT); environmental heterogeneity; market performance; DIGITAL SERVITIZATION; DYNAMIC CAPABILITIES; METHOD VARIANCE; MANAGEMENT; INNOVATION; FIRMS; RESPONSIVENESS; TRANSFORMATION; SERENDIPITY; ANALYTICS;
D O I
10.1109/TEM.2024.3364255
中图分类号
F [经济];
学科分类号
02 ;
摘要
Although artificial intelligence (AI) is becoming increasingly commonplace, many firms are still struggling to develop viable AI initiatives. Drawing on the dynamic capabilities theory, this article proposes a new framework to explore the relationships among AI-enabled customer value proposition capability (AI-CVPC), two customer response capabilities (i.e., response speed and response expertise), environmental heterogeneity, and market performance. The results from 400 Chinese firms across various sectors reveal that response speed and response expertise are two key mediators that link the positive association between AI-CVPC and market performance. More interestingly, environmental heterogeneity enhances the mediating role of response expertise, rather than the mediating role of response speed. This article contributes to the current AI-related business literature by developing a new moderated mediation model that explains the association between AI-CVPC and market performance. These findings also shed fresh light on the areas that firms should prioritize when developing their AI initiatives.
引用
收藏
页码:5588 / 5599
页数:12
相关论文
共 85 条
[1]   The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective [J].
Abou-Foul, Mohamad ;
Ruiz-Alba, Jose L. ;
Lopez-Tenorio, Pablo J. .
JOURNAL OF BUSINESS RESEARCH, 2023, 157
[2]  
Accenture, 2022, The way to artificial intelligence maturity: From practice to effectiveness
[3]   Corporate effects and dynamic managerial capabilities [J].
Adner, R ;
Helfat, CE .
STRATEGIC MANAGEMENT JOURNAL, 2003, 24 (10) :1011-1025
[4]   Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics [J].
Akter, Shahriar ;
Michael, Katina ;
Uddin, Muhammad Rajib ;
McCarthy, Grace ;
Rahman, Mahfuzur .
ANNALS OF OPERATIONS RESEARCH, 2022, 308 (1-2) :7-39
[5]   An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance [J].
Bag, Surajit ;
Gupta, Shivam ;
Kumar, Ajay ;
Sivarajah, Uthayasankar .
INDUSTRIAL MARKETING MANAGEMENT, 2021, 92 :178-189
[6]  
Bagozzi R.P., 1988, J ACAD MARKET SCI, V16, P74, DOI [10.1007/BF02723327, DOI 10.1007/BF02723327, 10.1177/009207038801600107]
[7]   Serendipity in management studies: a literature review and future research directions [J].
Balzano, Marco .
MANAGEMENT DECISION, 2022, 60 (13) :130-152
[8]   A theoretical review of flexibility, agility and responsiveness in the operations management literature Toward a conceptual definition of customer responsiveness [J].
Bernardes, Ednilson Santos ;
Hanna, Mark D. .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2009, 29 (1-2) :30-53
[9]   The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions [J].
Borges, Aline F. S. ;
Laurindo, Fernando J. B. ;
Spinola, Mauro M. ;
Goncalves, Rodrigo F. ;
Mattos, Claudia A. .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2021, 57
[10]   Business intelligence intelligence and analytics use, innovation ambidexterity, and firm performance: A dynamic capabilities perspective [J].
Bozic, Katerina ;
Dimovski, Vlado .
JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 2019, 28 (04)