Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance

被引：547

作者：

Mikalef, Patrick ^{[1
]}

Gupta, Manjul ^{[2
]}

机构：

[1] Norwegian Univ Sci & Technol, Dept Comp Sci, Sem Saelandsvei 9, N-7491 Trondheim, Norway

[2] Florida Int Univ, Coll Business, Dept Informat Syst & Business Analyt, Miami, FL 33199 USA

来源：

INFORMATION & MANAGEMENT | 2021年 / 58卷 / 03期

关键词：

Artificial intelligence; Firm performance; Organizational creativity; Capability; Resource-based theory; Instrument development; RESOURCE-BASED VIEW; INFORMATION-TECHNOLOGY CAPABILITY; BIG DATA ANALYTICS; COMPETITIVE ADVANTAGE; BUSINESS VALUE; FORMATIVE MEASUREMENT; RESEARCH DIRECTIONS; BEHAVIORAL-RESEARCH; SYSTEMS; MANAGEMENT;

D O I：

10.1016/j.im.2021.103434

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Artificial intelligence (AI) has been heralded by many as the next source of business value. Grounded on the resource-based theory of the firm and on recent work on AI at the organizational context, this study (1) identifies the AI-specific resources that jointly create an AI capability and provides a definition, (2) develops an instrument to capture the AI capability of the firms, and (3) examines the relationship between an AI capability and organizational creativity and performance. Findings empirically support the suggested theoretical framework and corresponding instrument and provide evidence that an AI capability results in increased organizational creativity and performance.

引用

页数：20

共 152 条

[11] Purchasing, Supply Chain Management and Sustained Competitive Advantage: The Relevance of Resource-based Theory [J].