Anticipatory innovation of professional services: The case of auditing and artificial intelligence

被引:13
|
作者
Goto, Masashi [1 ]
机构
[1] Kobe Univ, Res Inst Econ & Business Adm, 2-1 Rokkodai, Kobe, Hyogo 6578501, Japan
基金
日本学术振兴会;
关键词
Artificial intelligence; Professional service firms; Service innovation; Service R & D; Case study; RESEARCH-AND-DEVELOPMENT; STRATEGIC ALIGNMENT; CONSULTING FIRMS; LEGAL-SERVICES; KNOWLEDGE; MANAGEMENT; BUSINESS; FUTURE; PERFORMANCE; CAPABILITIES;
D O I
10.1016/j.respol.2023.104828
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
With the rise of artificial intelligence (AI), professional services firms (PSFs) need to innovate their services to adapt to AI. However, traditional ad hoc innovations driven by individual professionals have limitations in incorporating new technology outside their expertise. Although service R & D-an organizational function for centralized coordination of service innovations in strategically targeted areas-is potentially effective, studies on service R & D have still been scarce. This case study aims to fill the gap by examining how PSFs can establish and utilize service R & D to innovate services, overcoming the challenges of AI adoption. An in-depth qualitative study was conducted on the process by which the Big Four audit firms incorporated AI into their external audit service in Japan in the 2010s. The analysis shows the detailed process of how newly created service R & D organizations advanced AI adoption in the case firms. This study contributes to the literature on innovations in services and PSFs by (1) demonstrating the neglected but critical role of service R & D as an innovation enabler beyond the existing expertise of service firms, (2) constructing a three-phase model of the evolution of the service R & D function, and (3) suggesting the significance of innovation process design for the legitimation of innovations. This study also expands our knowledge of AI adoption, presenting a process tailored to address the challenges inherent in AI adoption for PSFs.
引用
收藏
页数:17
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