Information Management in Smart Cities: Turning end users’ views into multi-item scale development,validation, and policy-making recommendations |
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| Institution: | 1. Effat College of Engineering, Effat University, Jeddah, P.O. Box 34689, Saudi Arabia;2. Effat College of Business, Effat University, Jeddah, P.O. Box 34689, Saudi Arabia;3. Thiagarajar School of Management, Madurai, India;4. King Abdulaziz University, Jeddah, Saudi Arabia;5. Deree College – The American College of Greece, 6 Gravias, Aghia Paraskevi, Athens, 15342, Greece;1. University of Nevada, Las Vegas, Las Vegas, NV, 89154, United States;2. Towson University, Towson, MD, 21252, United States;3. Western Carolina University, Cullowhee, NC, 28723, United States;4. University of Virginia, Charlottesville, VA, 22903, United States;1. Management Information Systems Group, Indian Institute of Management Calcutta, Kolkata, India;2. Research School of Management, Australian National University, Canberra, Australia;3. Marketing Group, Indian Institute of Management Calcutta, Kolkata, India;1. University of North Carolina at Greensboro, Information Systems & Supply Chain Management Dept. 516 Stirling St., Greensboro, NC, 27412, USA;2. University of New South Wales, School of Information Systems Technology and Management, Sydney, Australia;1. Indian Institute of Technology, Kanpur, India;2. University of Wisconsin, Milwaukee, Wisconsin, USA;3. University of South Florida, Tampa, Florida, USA;1. Faculty of Management Sciences, International Islamic University, Sector H 10, Islamabad, Pakistan;2. Goodman School of Business, Brock University, St Catharines, Ontario, Canada |
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| Abstract: | Smart-cities research has established itself as one of the most dynamic fields in research today, accommodating scholars from diverse disciplines, including engineering and computer science as well as social sciences. Even if only tacitly, the resultant debate increasingly oscillates around how the effective use of information and communication technology (ICT) might render cities and urban space better places. This article responds to this imperative by suggesting how to capture users’ views and perceptions of smart city services and applications and in this way enrich the decision- and policy-making processes. It is argued that by developing appropriate scales these otherwise subjective views and perceptions may be objectivized and hence made of great use to managers and policymakers. Accordingly, in this research, a process of scale development is conducted in four phases of both inductive and deductive methods. Following initial rounds of focus groups and assessment by experts, an international survey was conducted with 295 participants from Europe, Asia, Latin America, the Arab Peninsula, and other regions. The data were analyzed using IBM SPSS 24 and AMOS 20 tools. The study proposes a 20-item scale in five distinct dimensions: Technology anxiety; Work–life interface; Engagement orientation; Support orientation; and Quality of life. The significant theoretical and managerial implications are discussed to demonstrate how to manage information for the benefit of all stakeholders involved in the making of a smart city. |
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| Keywords: | smart city information management smart-city applications scale development policy-making Smart cities Smart-cities research Information management Emerging technology ICT Policy-making Sustainability Resilience Inclusiveness Soft computing Well-being Quality of life Technology anxiety Work–life interface Engagement orientation Support orientation Life quality Scale development |
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