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Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward

Author

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  • Ranjan Chaudhuri

    (Department of Marketing, Indian Institute of Management Ranchi, Ranchi 834008, Jharkhand, India)

  • Sheshadri Chatterjee

    (Department of Computer Science & Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India)

  • Demetris Vrontis

    (Department of Management, School of Business, University of Nicosia, Nicosia 2417, Cyprus)

  • Sumana Chaudhuri

    (Department of Management, DSIMS, Sunder Nagar, Malad West, Mumbai 400064, Maharashtra, India)

Abstract

The purpose of this study is to examine artificial intelligence (AI) dynamism and its impact on sustainability of firms, including small and medium enterprises (SMEs). In addition, this study investigates the moderating effects of technological and leadership support for AI technology deployment and sustainability for manufacturing and production firms. We developed a theoretical model through the lenses of expectation disconfirmation theory (EDT), technology–trust–fit (TTF) theory, contingency theory, and the knowledge contained in the existing literature. We tested the proposed theoretical model using factor-based PLS-SEM technique by analyzing data from 343 managers of SMEs. The findings of this study demonstrate that organizational characteristics, situational characteristics, technological characteristics, and individual characteristics all impacted SMEs’ deployment of AI technologies for the purpose of achieving sustainability, with technological and leadership support acting as moderators.

Suggested Citation

  • Ranjan Chaudhuri & Sheshadri Chatterjee & Demetris Vrontis & Sumana Chaudhuri, 2022. "Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12760-:d:935365
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    References listed on IDEAS

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    2. Vaida Zemlickienė & Zenonas Turskis, 2022. "Determination of Importance of Key Decision Points in the Technology Commercialization Process: Attitude of the US and German Experts," Sustainability, MDPI, vol. 14(23), pages 1-13, November.

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