TY - JOUR
T1 - Innovation in SMEs, AI Dynamism, and Sustainability
T2 - The Current Situation and Way Forward
AU - Chaudhuri, Ranjan
AU - Chatterjee, Sheshadri
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.
PY - 2022/10
Y1 - 2022/10
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.
KW - AI deployment
KW - AI dynamism
KW - innovation
KW - production and manufacturing firms
KW - SMEs
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=85139927394&partnerID=8YFLogxK
U2 - 10.3390/su141912760
DO - 10.3390/su141912760
M3 - Article
AN - SCOPUS:85139927394
SN - 2071-1050
VL - 14
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 19
M1 - 12760
ER -
