Show simple item record

dc.contributor.authorAlhalabi, Wadee
dc.contributor.authorLytras, Miltiadis
dc.contributor.authorAljohani, Nada
dc.date.accessioned2022-11-03T11:57:25Z
dc.date.available2022-11-03T11:57:25Z
dc.date.issued2021
dc.identifier.citationAlhalabi, Wadee & Lytras, Miltiadis & Aljohani, Nada. (2021). Crowdsourcing Research for Social Insights into Smart Cities Applications and Services. Sustainability. 13. 7531. 10.3390/su13147531.
dc.identifier.isbn2071-1050
dc.identifier.doi10.3390/su13147531
dc.identifier.urihttp://hdl.handle.net/20.500.14131/167
dc.description.abstractThe 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.
dc.language.isoen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectcrowdsourcing
dc.subjectfuture smart cities research
dc.titleCrowdsourcing Research for Social Insights into Smart Cities Applications and Services
dc.typeBook chapter
dc.source.booktitleSustainability
dc.source.volume13
refterms.dateFOA2022-11-08T10:42:27Z
dc.source.pages7531
dc.contributor.researcherElectrical and Computer Engineering


Files in this item

Thumbnail
Name:
sustainability-13-07531-v2-1.pdf
Size:
4.061Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/