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Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research

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  • Miltiadis D. Lytras

    (School of Business, Deree College—The American College of Greece, 153-42 Athens, Greece
    Effat College of Engineering, Effat University, P.O. Box 34689, Jeddah, Saudi Arabia)

  • Anna Visvizi

    (School of Business, Deree College—The American College of Greece, 153-42 Athens, Greece
    Effat College of Business, Effat University, P.O. Box 34689, Jeddah, Saudi Arabia)

Abstract

As research on smart cities garners increased attention and its status consolidates as one of the fanciest areas of research today, this paper makes a case for a cautious rethink of the very rationale and relevance of the debate. To this end, this paper looks at the smart cities debate from the perspectives of, on the one hand, citizens’ awareness of applications and solutions that are considered ‘smart’ and, on the other hand, their ability to use these applications and solutions. Drawing from a detailed analysis of the outcomes of a pilot international study, this paper showcases that even the most educated users of smart city services, i.e., those arguably most aware of and equipped with skills to use these services effectively, express very serious concerns regarding the utility, safety, accessibility and efficiency of those services. This suggests that more pragmatism needs to be included in smart cities research if its findings are to remain useful and relevant for all stakeholders involved. The discussion in this paper contributes to the smart cities debate in three ways. First, it adds empirical support to the thesis of ‘normative bias’ of smart cities research. Second, it suggests ways of bypassing it, thereby opening a debate on the preconditions of sustainable interdisciplinary smart cities research. Third, it points to new avenues of research.

Suggested Citation

  • Miltiadis D. Lytras & Anna Visvizi, 2018. "Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1998-:d:152345
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    References listed on IDEAS

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    1. José Luis Carrasco-Sáez & Marcelo Careaga Butter & María Graciela Badilla-Quintana, 2017. "The New Pyramid of Needs for the Digital Citizen: A Transition towards Smart Human Cities," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    2. Bi, Sheng & Liu, Zhiying & Usman, Khalid, 2017. "The influence of online information on investing decisions of reward-based crowdfunding," Journal of Business Research, Elsevier, vol. 71(C), pages 10-18.
    3. Lihuan Guo & Dongqiang Guo & Wei Wang & Hongwei Wang & Yenchun Jim Wu, 2018. "Distance Diffusion of Home Bias for Crowdfunding Campaigns between Categories: Insights from Data Analytics," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    4. Shiann Ming Wu & Tsung-chun Chen & Yenchun Jim Wu & Miltiadis Lytras, 2018. "Smart Cities in Taiwan: A Perspective on Big Data Applications," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    5. Miltiadis D. Lytras & Vijay Raghavan & Ernesto Damiani, 2017. "Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(1), pages 1-10, January.
    6. Kwok Tai Chui & Wadee Alhalabi & Sally Shuk Han Pang & Patricia Ordóñez de Pablos & Ryan Wen Liu & Mingbo Zhao, 2017. "Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications," Sustainability, MDPI, vol. 9(12), pages 1-23, December.
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