Enabling AI capabilities in government agencies: A study of determinants for European municipalities

Mikalef, Patrick; Lemmer, Kristina; Schaefer, Cindy; Ylinen, Maija; Fjørtoft, Siw Olsen; Torvatn, Hans; Gupta, Michèle; Niehaves, Bjoern

doi:10.1016/j.giq.2021.101596

Cited by 80 publications

(39 citation statements)

References 56 publications

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“…As AI has gained popularity due to the use of big data, advanced algorithms, and enhanced processing storage and power, AI is increasingly being incorporated into our everyday life and substantially influences SDM. e results presented in this research significantly advance the comprehension of AI technologies and decision-making in both theory and practice [2].…”

Section: Discussionmentioning

confidence: 66%

“…e use of arti cial intelligence (AI) has been claimed to provide transformational potential in di erent areas, ranging from smart cities, its in uence on governance, and innovative discipline, and even promote human capabilities [1][2][3][4]. With the advancement of technology, AI has taken a signi cant leap becoming an essential part of everyday life [5].…”

Section: Introductionmentioning

confidence: 99%

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The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

Alloulbi¹,

Öz²,

Alzubi³

2022

Mathematical Problems in Engineering

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With the rapid development of artificial intelligence (AI), AI for smart decision-making is attracting a lot of attention, but research on this topic in smart cities is not yet comprehensive. Thus, the current research aimed to examine the direct and indirect (via technology anxiety) relationships between artificial intelligence (AI), technology anxiety, and smart decision-making (SDM). The research article also examines the moderating role of internal threats of IoT on AI and technology anxiety and the relationship between AI and smart decision-making. 614 cross-sectional data gathered from participants from public and private sectors in Turkey were utilized to investigate the aforementioned relationships. The results indicated that AI had a positive influence on smart decision-making. AI contributes negatively to technology anxiety. Technology anxiety has a negative effect on smart decision-making. Technology anxiety partially mediated the direct effect of AI on smart decision-making. The results revealed that internal threats of IoT moderated the negative relationship between AI and artificial intelligence, such that the negative relationship is further strengthened when internal threats of IoT are high. The results also indicated that internal threats of IoT moderated the positive direct relationship between AI and smart decision-making, such that the positive relationship is weakened when internal threats of IoT are high. The findings present crucial practical implications for government and local authorities in building smart cities.

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Section: Discussionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

Alloulbi¹,

Öz²,

Alzubi³

2022

Mathematical Problems in Engineering

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show abstract

“…The use of artificial intelligence (AI) in smart cities, its effect on governance, decisionmaking, innovative discipline, and prospects of revolution have been a topic of discussion in debate and practice recent years [1][2][3][4][5][6]. Data generation utilizing AI is possible in government and private sectors exploring new approaches to understand our world.…”

Section: Introductionmentioning

confidence: 99%

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

Bokhari

Myeong

2022

Sustainability

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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.

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“…On this basis, a scale is formed to measure the relationship between AI capability and organizational creativity and performance in firms indicating that artificial intelligence capability can help improve organizational creativity and performance. Similarly, studies focusing on the development of artificial intelligence capabilities of public organizations further point out that the cultivation of artificial intelligence capabilities of public organizations needs to proceed from the organizational level rather than the individual level ( Mikalef et al, 2021 ), making an important contribution to the research on artificial intelligence capabilities.…”

Section: Research Framework and Hypothesis Developmentmentioning

confidence: 99%

Artificial Intelligence Capability and Organizational Creativity: The Role of Knowledge Sharing and Organizational Cohesion

Yan

Yang

et al. 2022

Front. Psychol.

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The rapid development of artificial intelligence (AI) has brought many opportunities and challenges to organization. Some studies have shown that AI can improve organizational creativity. However, the existing research lacks an effective transformation path. This paper makes an innovative approach from the perspective of knowledge sharing, establishes an integration model of artificial intelligence capability, knowledge sharing and organizational creativity. Based on 189 questionnaire data, we use multi-level regression analysis and bootstrap method to analyze the influence mechanism. The results show that artificial intelligence has a positive effect on knowledge sharing, knowledge sharing has a positive effect on organizational creativity, knowledge sharing mediates the relationship between artificial intelligence and organizational creativity, and organizational cohesion has a positive moderating effect on the relationship between artificial intelligence and knowledge sharing. The results supplement the existing research on the relationship between artificial intelligence capability and organizational creativity, expand the theoretical boundary and application space from the perspective of knowledge sharing at the organizational level, and provide reference for organizations to improve creativity.

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Enabling AI capabilities in government agencies: A study of determinants for European municipalities

Cited by 80 publications

References 56 publications

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

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

Artificial Intelligence Capability and Organizational Creativity: The Role of Knowledge Sharing and Organizational Cohesion

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