Table 1 Current empirical studies on AI... | Emerald Publishing

Table 1

Current empirical studies on AI and firm performance

Author	Scope	Theory	Findings
Wamba-Taguimdje et al. (2020a)	150 AI-related case studies	RBV, DCV	(+) AI capability → Process-driven Dynamic Capabilities, Firm performance
Mikalef and Gupta (2021)	Survey, 143 senior US firm managers	RBV, DCV	(+) AI capability → Organisational Creativity and Organisational performance
Wamba (2022)	Survey, 205 US firm managers	RBV, DCV	(+) AI assimilation → Organisational agility, Customer agility, Firm performance
Chen et al. (2022)	Survey, 394 e-commerce entrepreneurs	RBV, DCV	(+) AI capability → Firm creativity, AI Management, AI-driven decision-making, Firm performance
Rammer et al. (2022)	Germany Community Innovation Survey (CIS) 2018		(+) AI → Innovation performance
Bag et al. (2021)	306 senior executives in South Africa	KBV	(+) Big data-powered artificial intelligence → Knowledge Management Process, Decision-Making Style, Firm performance
Mishra et al. (2022)	10-K data from US firms		(+) AI focus → Firm performance
Kim et al. (2022)	395 US-listed firms using AI between 2000 and 2018		(+) AI adoption → Firm performance, (+) AI adoption → Automation
Lui et al. (2022)	62 US-listed firms between 2015 and 2019		(−) AI adoption announcements → Firm market value (−) AI adoption announcements → Abnormal market returns

Author	Scope	Theory	Findings
Wamba-Taguimdje et al. (2020a)	150 AI-related case studies	RBV, DCV	(+) AI capability → Process-driven Dynamic Capabilities, Firm performance
Mikalef and Gupta (2021)	Survey, 143 senior US firm managers	RBV, DCV	(+) AI capability → Organisational Creativity and Organisational performance
Wamba (2022)	Survey, 205 US firm managers	RBV, DCV	(+) AI assimilation → Organisational agility, Customer agility, Firm performance
Chen et al. (2022)	Survey, 394 e-commerce entrepreneurs	RBV, DCV	(+) AI capability → Firm creativity, AI Management, AI-driven decision-making, Firm performance
Rammer et al. (2022)	Germany Community Innovation Survey (CIS) 2018		(+) AI → Innovation performance
Bag et al. (2021)	306 senior executives in South Africa	KBV	(+) Big data-powered artificial intelligence → Knowledge Management Process, Decision-Making Style, Firm performance
Mishra et al. (2022)	10-K data from US firms		(+) AI focus → Firm performance
Kim et al. (2022)	395 US-listed firms using AI between 2000 and 2018		(+) AI adoption → Firm performance, (+) AI adoption → Automation
Lui et al. (2022)	62 US-listed firms between 2015 and 2019		(−) AI adoption announcements → Firm market value (−) AI adoption announcements → Abnormal market returns

Note(s): (+) Positive impact; (−) Negative impact; RBV, Resource-Based View; DCV, Dynamic Capabilities View; KBV, Knowledge-Based View

Source(s): Authors own work)