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Crowdsourcing Research for Social Insights into Smart Cities Applications and Services

Author

Listed:
  • Wadee Alhalabi

    (Department of Computer Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Computer Sciences, Dar Alhekma University, Jeddah 22246, Saudi Arabia)

  • Miltiadis Lytras

    (Department of Computer Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Effat College of Engineering, Effat University, Jeddah 21478, Saudi Arabia)

  • Nada Aljohani

    (Department of Computer Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

The evolution in knowledge management and crowdsourcing research provides new data-processing capabilities. The availability of both structured and unstructured open data formats offers unforeseen opportunities for analytics processing and advanced decision-making. However, social sciences research is facing advanced, complicated social challenges and problems. The focus of this study is to analyze the contribution of crowdsourcing techniques to the promotion of advanced social sciences research, exploiting open data available from the geographical positioning system (GPS) to analyze human behavior. In our study, we present the conceptual design of a device that, with the help of a global positioning system-data collection device (GPS-DCD), associates behavioral aspects of human life with place. The main contribution of this study is to integrate research in computer science and information systems with that in social science. The prototype system summarized in this work, proves the capacity of crowdsourcing and big data research to facilitate aggregation of microcontent related to human behavior toward improved quality of life and well-being in modern smart cities. Various ethical issues are also discussed to promote the scientific debate on this matter. Our study shows the capacity of emerging technologies to deal with social challenges. This kind of research will gain increased momentum in the future due to the availability of big data and new business models for social platforms.

Suggested Citation

  • Wadee Alhalabi & Miltiadis Lytras & Nada Aljohani, 2021. "Crowdsourcing Research for Social Insights into Smart Cities Applications and Services," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7531-:d:589243
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    References listed on IDEAS

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    Cited by:

    1. Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    2. Katarzyna Szopik-Depczyńska & Izabela Dembińska & Agnieszka Barczak & Angelika Kędzierska-Szczepaniak & Krzysztof Szczepaniak & Radosław Depczyński & Giuseppe Ioppolo, 2021. "Does Crowdsourcing as Part of User-Driven Innovation Activity Affect Its Results? An Empirical Analysis of R&D Departments in Poland," Energies, MDPI, vol. 14(18), pages 1-20, September.
    3. El Bachir Diop & Jérôme Chenal & Stéphane Cédric Koumetio Tekouabou & Rida Azmi, 2022. "Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research," Sustainability, MDPI, vol. 14(18), pages 1-21, September.

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