Evidence map›Paper›PMID 36778529›Full record

ArticlePersonal and ubiquitous computing2023

Adoption of AI in response to COVID-19-a configurational perspective.

Lili Mi, Wei Liu, Yu-Hsi Yuan, Xuefeng Shao, Yifan Zhong

Abstract read
In one paragraph

Article in Personal and ubiquitous computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Lili MiDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Brisbane, 4111 Australia.
Wei LiuBusiness School, Qingdao University, Qingdao, 266071 China.
Yu-Hsi YuanDepartment of Labor and Human Resource, Chinese Culture University, Taipei, 114 Taiwan.
Xuefeng ShaoNewcastle Business School, The University of Newcastle, Newcastle, 2300 Australia.
Yifan ZhongSchool of Management and Marketing, Faculty of Business and Law, Curtin University, Perth, 6102 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the importance of artificial intelligence (AI) has often been highlighted in strategic agility and decision outcomes, whether it helps firms strengthen their competitiveness and the means firms use to achieve such competitiveness are still under-researched. Our research thus joins the recent discussion on digitalization trends and strategic responses to COVID-19 to better understand how firms strengthen their competitiveness during such challenging times. Namely, this study incorporates the strategic responses to COVID-19 into the technology-organization-environment (TOE) framework by investigating the impacts of different configurations of TOE contexts and strategic responses on a firm's competitive advantage. We used fuzzy-set qualitative comparative analysis to investigate how TOE contexts and strategic responses integrate into configurations and impact a firm's competiveness. By applying a configurational approach with data from 514 exporting firms in China, we find a strong indication of the equifinality of different strategies, indicating that multiple strategic paths can be used to respond to crises. The adoption of AI, while important, is not sufficient to enhance a firm's competitiveness. Our results stress the significance of data quality, organizational resources and capabilities, and digital business model innovation for AI adoption. We also identify successful strategic paths of AI adoption aversion and ambidextrous strategies. The findings have practical implications for firms seeking effective strategies to respond to future crises and sustain their competitive advantages.

Indexed as

Artificial intelligenceFuzzy-set qualitative comparative analysisStrategic responses to COVID-19Technology–organization–environment framework

Identifiers

PMID36778529
PMCPMC9904263

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.