Institutional entrepreneurs' roles in the international market expansions: evidence from the ride-hailing platforms

Cheah, Chee Wei; Krajčík, Vladimír; Koay, Kian Yeik

doi:10.1007/s11365-024-00962-w

Int Entrep Manag J

2024

DOI: 10.1007/s11365-024-00962-w

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Institutional entrepreneurs' roles in the international market expansions: evidence from the ride-hailing platforms

Chee Wei Cheah,

Vladimír Krajčík,

Kian Yeik Koay

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Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector

Khan,

Mehmood,

Khan

2024

JMTM

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PurposeGenerative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and synthetic data. The purpose of this study is to analyze the determinants that affect GenAI acceptance and its outcomes on both the explorative and exploitative forms of innovation.Design/methodology/approachThe study employs a conceptual framework based on the technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part.FindingsIt is found that GenAI has the potential to facilitate both exploratory and exploitative innovation, particularly via the moderating effect of environmental dynamism. Hence the adoption of GenAI has potential to improve organizational performance.Originality/valueThe study is the first empirical project to investigate factors that influence manufacturing firms' adoption of GenAI. As the first project to have integrated the TOE paradigm when examining the impact of environmental dynamism on exploratory and exploitative innovation, the study emphasizes the double innovation potential of GenAI in organizational performance improvement.

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Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector

Khan,

Mehmood,

Khan

2024

JMTM

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Institutional entrepreneurs' roles in the international market expansions: evidence from the ride-hailing platforms

Cited by 1 publication

References 72 publications

Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector

Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector

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