People's expectations and experiences of big data collection in the Saudi context

Muhammad Binsawad; Ghazanfar Ali Abbasi; Osama Sohaib

doi:10.7717/peerj-cs.926

People's expectations and experiences of big data collection in the Saudi context

PeerJ Comput Sci. 2022 Mar 16:8:e926. doi: 10.7717/peerj-cs.926. eCollection 2022.

Authors

Muhammad Binsawad¹, Ghazanfar Ali Abbasi², Osama Sohaib³

Affiliations

¹ Department of Computer Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia.
² Labuan Faculty of International Finance, Universiti Malaysia Sabah, Malaysia.
³ Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia.

Abstract

Big data and machine learning technologies facilitate various business intelligence activities for businesses. However, personal data collection can generate adverse effects on consumers. Big data collection can compromise people's sense of autonomy, harming digital privacy, transparency and trust. This research investigates personal data collection, control, awareness, and privacy regulation on people's autonomy in Saudi. This study used a hybrid analytical model that incorporates symmetrical and asymmetrical analysis via fuzzy set qualitative comparative analysis (fsQCA) to analyze consumer sense of autonomy regarding big data collection. The symmetrical shows that 'Control' had the most significant influence on people's autonomy, followed by 'Big data collection' and 'Awareness'. The fsQCA shows 84% of the variation, explaining the people's autonomy.

Keywords: Big Data; Emerging technologies; Privacy; Social computing.

Grants and funding

This work was supported by the Deanship of Scientific Research at King Abdulaziz, Jeddah, Saudi (G: 267-611-1442). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.