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

Ranjan Chaudhuri, Sheshadri Chatterjee, Demetris Vrontis, Sumana Chaudhuri

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number12760
JournalSustainability (Switzerland)
Issue number19
Publication statusPublished - Oct 2022


  • AI deployment
  • AI dynamism
  • innovation
  • production and manufacturing firms
  • SMEs
  • sustainability


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