Harnessing the Potential of Artificial Intelligence to Foster Citizens’ Satisfaction: An empirical study on India
Autor: | Sheshadri Chatterjee, Hatice Kizgin, Sangeeta Khorana |
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Přispěvatelé: | Entrepreneurship, Technology, Management |
Rok vydání: | 2022 |
Předmět: |
Risk
Artificial intelligence Public services Sociology and Political Science AI-enabled services business.industry media_common.quotation_subject Perspective (graphical) Citizen satisfaction India Library and Information Sciences Assimilation theory Empirical research Political science 22/1 OA procedure Public value business Law Skepticism media_common |
Zdroj: | Government information quarterly, 39(4):101621. Elsevier |
ISSN: | 0740-624X |
Popis: | Governments are increasingly employing artificial intelligence (AI) enabled services though this is still a relatively new concept that is in nascent stages of implementation. Despite growing emphasis by governments on employing AI-enabled services, many citizens are skeptical of their benefits; this makes an analysis of AI-enabled services an important area of research, especially from the perspective of citizens. This paper employs IT assimilation theory and public value theory to develop a theoretical model that examines whether the introduction of AI-enabled services would generate public value for citizens in India. The model employs the Partial Least Square-Structural Equation Modeling (PLS-SEM) technique to examine how risk factors impact the uptake of AI-enabled services in India. Based on 315 interviews conducted in India, the study highlights that the breadth and depth assimilation of AI-enabled services positively impacts and enhances the satisfaction of citizens, which in turn generates public value. |
Databáze: | OpenAIRE |
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