Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective

Abstract

The goal of this study is to investigate the direct and indirect relationships that exist between artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This study used a survey design and collected cross-sectional data from South Korea and Pakistan using survey questionnaires. Four hundred sixty respondents from the public and private sectors were obtained and empirically analyzed using SPSS multiple regression. The study discovered a strong and positive mediating effect of SI between the relationship of AI and SDM, as predicted. Previous researchers have investigated some of the factors that influence the decision-making process. This study adds to the social science literature by examining the impact of a mediating factor on decision-making. The findings of this study will contribute to the local government in building smart cities such that the factor of social innovations should be involved in the decision-making process because smart decision-making would share such collected data with entrepreneurs, businesses, and industries and would benefit society and all relevant stakeholders, including such social innovators.

Smart City Governance, Stakeholder’s Satisfaction, And Crime Prevention: Moderating Impact of Institutional and Technological Innovation

“…Additionally, owing to various new advancements such as confirmatory analysis, non-linear impacts, and mediating and moderating influences, multiple regression is recognized as one of the greatest novel alternatives to prior standard analytic methods (Rosopa & Stone-Romero, 2008). Though numerous scholars employed structural equation modeling (SEM) to examine the interaction effect between IVs and DVs, we believed that multiple regression would be the appropriate method for this study to examine our outcomes (Bokhari & Myeong, 2022).…”

“…One research direction could be to investigate how smart city better service delivery (Yu et al, 2019) affects residents' satisfaction and crime rate. We could also broaden the investigation by obtaining the determinants of other types of innovation, such as social innovation (Bokhari & Myeong, 2022), and investigating how such inclusion affects stakeholder satisfaction and crime rates in smart cities.…”

“…In this case of stakeholders' satisfaction, the importance is given to the relationship between smart city government and its governance system that may lead to better performance e.g., stakeholders' satisfaction, as government institutions that integrate societal actors with them considerations enhance satisfaction for their stakeholders. When city government will engage its stakeholders in policy and decision-making process (Bokhari & Myeong, 2022;Capra, 2016), enable them to approach basic necessities of life, and collaborate with them to create and utilize ICT-based to host e-government (Viale Pereira et al, 2017), the satisfaction of stakeholders will ultimately be enhanced positively. Hence, we hypothesize, Hypothesis 1: Higher the city governance is smart, the higher the likelihood that stakeholders' satisfaction will be enhanced.…”

Personality traits and social loafing among employees working in teams at small and medium enterprises: A cultural perspective data from emerging economies

“…The data sample collected for this research was analyzed utilizing SPSS and SEM software and we used multi-regression analysis to test our hypothesis [5] . Pearson correlations amongst all social loafing procedures were used to examine convergent validity.…”

The Risks of Smart Cities and the Perspectives of Their Management Based on Corporate Social Responsibility in the Interests of Sustainable Development

“…Due to this, the smart city is a complex socio-economic cyber-physical system (Ahmad et al 2022;Duygan et al 2022;Rajawat et al 2022). When studying it, it is necessary to pay special attention to the social urban environment (Bokhari and Myeong 2022;Singh and Dwivedi 2022).…”