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

Ranjan Chaudhuri; Sheshadri Chatterjee; Demetris Vrontis; Sumana Chaudhuri

doi:10.3390/su141912760

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

Ranjan Chaudhuri, Sheshadri Chatterjee, Demetris Vrontis, Sumana Chaudhuri

Department of Management

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	12760
Journal	Sustainability (Switzerland)
Volume	14
Issue number	19
DOIs	https://doi.org/10.3390/su141912760
Publication status	Published - Oct 2022

Keywords

AI deployment
AI dynamism
innovation
production and manufacturing firms
SMEs
sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/su141912760

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

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{\textquoteright} deployment of AI technologies for the purpose of achieving sustainability, with technological and leadership support acting as moderators.",

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author = "Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Sumana Chaudhuri",

note = "Funding Information: Validation shows that H1a is supported. As the complexity of an organization increases, deployment of technology is negatively impacted. This supplements the findings of Parveen and Alsheibani [], who observed that, in Malaysia, complexity impedes users from using wireless mobile devices to access the internet. H1b was supported by validation, which shows that compatibility helps in technology deployment. This idea has received support from other studies [] that have noted that entrepreneurial competencies help to develop deployment attitude. Publisher Copyright: {\textcopyright} 2022 by the authors.",

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doi = "10.3390/su141912760",

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AU - Vrontis, Demetris

AU - Chaudhuri, Sumana

N1 - Funding Information: Validation shows that H1a is supported. As the complexity of an organization increases, deployment of technology is negatively impacted. This supplements the findings of Parveen and Alsheibani [], who observed that, in Malaysia, complexity impedes users from using wireless mobile devices to access the internet. H1b was supported by validation, which shows that compatibility helps in technology deployment. This idea has received support from other studies [] that have noted that entrepreneurial competencies help to develop deployment attitude. Publisher Copyright: © 2022 by the authors.

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N2 - 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.

AB - 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.

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

Abstract

Keywords

UN SDGs

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