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

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....

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Main Authors: Muhammad Binsawad, Ghazanfar Ali Abbasi, Osama Sohaib
Format: Article
Language:English
Published: PeerJ Inc. 2022-03-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-926.pdf
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author Muhammad Binsawad
Ghazanfar Ali Abbasi
Osama Sohaib
author_facet Muhammad Binsawad
Ghazanfar Ali Abbasi
Osama Sohaib
author_sort Muhammad Binsawad
collection DOAJ
description 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.
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spelling doaj.art-88d5b84c46e14258b742340a79c848d42022-12-22T00:04:49ZengPeerJ Inc.PeerJ Computer Science2376-59922022-03-018e92610.7717/peerj-cs.926People’s expectations and experiences of big data collection in the Saudi contextMuhammad Binsawad0Ghazanfar Ali Abbasi1Osama Sohaib2Department of Computer Information Systems, King Abdulaziz University, Jeddah, Saudi ArabiaLabuan Faculty of International Finance, Universiti Malaysia Sabah, MalaysiaFaculty of Engineering and IT, University of Technology Sydney, Sydney, AustraliaBig 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.https://peerj.com/articles/cs-926.pdfBig DataPrivacySocial computingEmerging technologies
spellingShingle Muhammad Binsawad
Ghazanfar Ali Abbasi
Osama Sohaib
People’s expectations and experiences of big data collection in the Saudi context
PeerJ Computer Science
Big Data
Privacy
Social computing
Emerging technologies
title People’s expectations and experiences of big data collection in the Saudi context
title_full People’s expectations and experiences of big data collection in the Saudi context
title_fullStr People’s expectations and experiences of big data collection in the Saudi context
title_full_unstemmed People’s expectations and experiences of big data collection in the Saudi context
title_short People’s expectations and experiences of big data collection in the Saudi context
title_sort people s expectations and experiences of big data collection in the saudi context
topic Big Data
Privacy
Social computing
Emerging technologies
url https://peerj.com/articles/cs-926.pdf
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