SIG DITE - Digital Innovation, Transformation and Entrepreneurship
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Paper Type
Complete
Paper Number
1237
Description
We investigate the capacity of firms to acquire and assimilate artificial intelligence (AI) technology. AI has become a magic term for digital innovation in all industries worldwide. Therefore, we first focus on antecedents which foster the development of the capacity to acquire and assimilate AI. We hypothesize that strong capabilities with regard to process improvement and process innovation should help absorb AI. Second, we hypothesize a mediation relationship. We assume that the capability of a firm to innovate processes arises from the capability to improve processes and allows for a better AI absorption. With a quantitative study, we show the strength of the proposed model. Our empirical data collection reveals that process improvement has a positive impact on AI absorption, whereby process innovation capability is a mediator. We show that uncertainty avoidance matters: it directly and indirectly impacts process improvement, process innovation, and AI absorption.
Recommended Citation
Bogodistov, Yevgen and Moormann, Jürgen, "AI Acquisition in Question: Process Improvement and Process Innovation" (2022). AMCIS 2022 Proceedings. 14.
https://aisel.aisnet.org/amcis2022/sig_dite/sig_dite/14
AI Acquisition in Question: Process Improvement and Process Innovation
We investigate the capacity of firms to acquire and assimilate artificial intelligence (AI) technology. AI has become a magic term for digital innovation in all industries worldwide. Therefore, we first focus on antecedents which foster the development of the capacity to acquire and assimilate AI. We hypothesize that strong capabilities with regard to process improvement and process innovation should help absorb AI. Second, we hypothesize a mediation relationship. We assume that the capability of a firm to innovate processes arises from the capability to improve processes and allows for a better AI absorption. With a quantitative study, we show the strength of the proposed model. Our empirical data collection reveals that process improvement has a positive impact on AI absorption, whereby process innovation capability is a mediator. We show that uncertainty avoidance matters: it directly and indirectly impacts process improvement, process innovation, and AI absorption.
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SIG DITE