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Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world / GARY BURKHARDT

Swansea University Author: GARY BURKHARDT

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DOI (Published version): 10.23889/SUthesis.59500

Abstract

An online world has emerged in which the collection and processing of personal information has become a foundational element of the digital society. Within this environment, individuals are overwhelmed with consent requests to which they, ostensibly, pay little attention. Problems concern (i) the dy...

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Published: Swansea 2020
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Boy, Frederic ; Doneddu, Daniele
URI: https://cronfa.swan.ac.uk/Record/cronfa59500
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first_indexed 2022-03-04T17:24:58Z
last_indexed 2022-03-08T04:28:39Z
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spelling 2022-03-07T12:25:04.0028529 v2 59500 2022-03-04 Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world c1fc6f65b0fec7894e8b8f57bb7530ef GARY BURKHARDT GARY BURKHARDT true false 2022-03-04 An online world has emerged in which the collection and processing of personal information has become a foundational element of the digital society. Within this environment, individuals are overwhelmed with consent requests to which they, ostensibly, pay little attention. Problems concern (i) the dynamics of online consent, which is fundamentally ill understood, and (ii) a research narrative in which privacy-concern is pervasive, despite research indicating significant demographic heterogeneity. To provide a mechanism to better understand online consent, a novel conceptual model for informed consent decision making is developed. This original model adds value to our understanding of online consent practice by incorporating the Autonomous Authorisation model of informed consent within a mainstream behavioural model, the Theory of Planned Behaviour. To provide insight into the dynamics of online consent, a privacy-neutral taxonomy of eight variables influencing online consent behaviour, their interrelationships and relative importance are established. The privacy-neutral taxonomy of variables that influence online consent behaviour is constructed via a thematic analysis of extant literature. Their interrelationships and relative importance is determined, using Interpretive Structural Modelling and Interpretive Ranking Process (IRP) techniques respectively. The ranking of variables is validated using Principal Component Analysis (PCA) on a dataset (n=803) collected via a survey of UK-resident Millennials. Regression is performed on the dataset to determine the willingness of consent provision. The eight discerned consent-influencing variables, from most to least important are: situation, emotion/mood/personality, past experience, requester characteristics, resource requirements, cognitive characteristics, trust and actual understanding. A high degree of dependence was found between most of the factors. The PCA validated the IRP-derived ranking and reduced these to four variables: situation, cognition, familiarity and trust. The regression reveals that the willingness of consent provision is a poor predictor of authorisation behaviour and that, as the understanding of the consequences of consent increase, willingness decreases. E-Thesis Swansea 20 4 2020 2020-04-20 10.23889/SUthesis.59500 Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available via this service. COLLEGE NANME COLLEGE CODE Swansea University Boy, Frederic ; Doneddu, Daniele Doctoral Ph.D 2022-03-07T12:25:04.0028529 2022-03-04T17:20:07.3458578 Faculty of Humanities and Social Sciences School of Management - Business Management GARY BURKHARDT 1
title Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
spellingShingle Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
GARY BURKHARDT
title_short Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
title_full Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
title_fullStr Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
title_full_unstemmed Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
title_sort Factors influencing consent for the processing of personal data: a privacy-neutral taxonomy for the online world
author_id_str_mv c1fc6f65b0fec7894e8b8f57bb7530ef
author_id_fullname_str_mv c1fc6f65b0fec7894e8b8f57bb7530ef_***_GARY BURKHARDT
author GARY BURKHARDT
author2 GARY BURKHARDT
format E-Thesis
publishDate 2020
institution Swansea University
doi_str_mv 10.23889/SUthesis.59500
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
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description An online world has emerged in which the collection and processing of personal information has become a foundational element of the digital society. Within this environment, individuals are overwhelmed with consent requests to which they, ostensibly, pay little attention. Problems concern (i) the dynamics of online consent, which is fundamentally ill understood, and (ii) a research narrative in which privacy-concern is pervasive, despite research indicating significant demographic heterogeneity. To provide a mechanism to better understand online consent, a novel conceptual model for informed consent decision making is developed. This original model adds value to our understanding of online consent practice by incorporating the Autonomous Authorisation model of informed consent within a mainstream behavioural model, the Theory of Planned Behaviour. To provide insight into the dynamics of online consent, a privacy-neutral taxonomy of eight variables influencing online consent behaviour, their interrelationships and relative importance are established. The privacy-neutral taxonomy of variables that influence online consent behaviour is constructed via a thematic analysis of extant literature. Their interrelationships and relative importance is determined, using Interpretive Structural Modelling and Interpretive Ranking Process (IRP) techniques respectively. The ranking of variables is validated using Principal Component Analysis (PCA) on a dataset (n=803) collected via a survey of UK-resident Millennials. Regression is performed on the dataset to determine the willingness of consent provision. The eight discerned consent-influencing variables, from most to least important are: situation, emotion/mood/personality, past experience, requester characteristics, resource requirements, cognitive characteristics, trust and actual understanding. A high degree of dependence was found between most of the factors. The PCA validated the IRP-derived ranking and reduced these to four variables: situation, cognition, familiarity and trust. The regression reveals that the willingness of consent provision is a poor predictor of authorisation behaviour and that, as the understanding of the consequences of consent increase, willingness decreases.
published_date 2020-04-20T04:16:52Z
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score 11.037144

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