Crowdsourcing Research for Social Insights into Smart Cities Applications and Services

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.

Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability

“…Utilisation of crowdsourcing platforms in the digital sphere can serve as the foundation for the gathering and consolidation of big data with allusions to human activities, preference, and satisfaction rating. Once it comes to human behaviour, nevertheless, the use of big data and data mining to sustain complex dashboards that update consumers and the society about sensitive social data sparks a heated debate over the benefits and implications of these services to privacy and the security of data objects and subjects [10]. A component of crowdfunding's rapid development may be ascribed to the nimble nature of reward-based initiatives, in which the reward of participation, for services or information, is explicit and specified in advance, unconstrained by the withdrawal liquidity considerations of a stock investment [11].…”

A Comprehensive Study on User-Centric Smart Life Solutions: Integrating Mobile Integrated Technology and Big Data Analytics for Digitalized Smart City Environments

“…Data can help smart cities evolve and fuel data-driven initiatives. Smart cities may use data to allocate resources, manage urban concerns, and fulfil citizens' changing requirements (Alhalabi et al, 2021;Daoudagh et al, 2021;Kamruzzaman et al, 2023;Kuru & Ansell, 2020;Manimuthu et al, 2021;Samarakkody et al, 2023).…”

“…Mobile, sensor, and IoT devices have been intensively investigated to improve urban life. MIT solutions reduce energy usage, traffic, and healthcare access (Alhalabi, Lytras, & Aljohani, 2021;Lavalle, Teruel, Maté, & Trujillo, 2020;Nikitas, Michalakopoulou, Njoya, & Karampatzaki Economics suggest that MIT solutions may boost smart city economics and create jobs (Kamruzzaman et al, 2023). Big data analysis proves smart city need.…”

Crowdsourcing initiatives in city management: the perspective of Polish local governments

“…Within subject-related literature, areas of crowdsourcing identified as deserving future study include mainly those regions where consensus has either not been achieved or is very tentative such as the classification of various types of crowdsourcing activity, analysis of relations between crowdsourcing and other related concepts like Open Innovation (Alhalabi et al, 2021;Moustaka et al, 2021;Cricelli et al, 2021) or Outsourcing, and the identification of their similarities and differences permitting more excellent profiling of the concept of crowdsourcing and the establishment of a theoretical framework (Estellés-Arolas & González-Ladrón-de-Guevara, 2012). Pedersen et al ( 2013) indicate a need for more in-depth research into motivating potential users to participate in crowdsourcing, while Hossain and Kauranen (2015).…”