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  <doc>
    <id>1550</id>
    <completedYear>2025</completedYear>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted>2025</thesisYearAccepted>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>iv, 154 Seiten</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>doctoralthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-03-05</completedDate>
    <publishedDate>2025-03-05</publishedDate>
    <thesisDateAccepted>2025-01-16</thesisDateAccepted>
    <title language="eng">Transparency and Control about Privacy in Data-Driven Online Services: An Investigation of Design Choices and Users' Data Disclosure Decision-Making</title>
    <abstract language="eng">As modern online services are increasingly data-driven, users’ data disclosure is becoming a decisive factor for the success of companies' business models. Extensive disclosure of personal data raises concerns for users’ privacy that managers of online services and regulators need to address. Implementing transparency and control about an online service’s data practices has become the dominant approach to address these concerns. However, the effects of transparency and control on users’ data disclosure behavior have been found to be ambivalent. While some studies in the field of privacy research confirm that implementing transparency and control features can be an effective means to raise users’ willingness to disclose data, other studies have found only minuscule, and sometimes even opposing effects of transparency and control on users’ disclosure behavior. Such heterogeneous effects not only hinder estimating the consequences of regulatory and managerial efforts aimed at creating transparency and control but also impede generating clear guidelines on how to provide transparency and control in the most effective manner. A closer examination of individuals’ underlying decision-making mechanisms in response to provisions of transparency and control in disclosure decision scenarios may help to improve our understanding of the causes of diverging disclosure behavior. A better understanding of these underlying decisionmaking mechanisms will further help to assess specific designs of transparency and control features and their impact on the business models of online services as well as users’ privacy. Therefore, this thesis explores users’ decision-making mechanisms and behavioral reactions to the provision of transparency and control in data disclosure situations. The thesis consists of four essays that employ different research methods, including systematic literature reviews and quantitative studies. The findings of the essays contribute to a better understanding of the effects of transparency and control on user decision-making in the privacy domain by (1) offering conceptualizations that provide a lens for studying users’ decision-making processes and their disclosure behavior in reaction to transparency and control features (2) examining how different implementations of transparency and control features affect users’ decision-making processes and effort in decision-making which causes differences in users’ disclosure behavior, and (3) by investigating the effects of transparently communicated content and relevant pieces of information in so far underexplored data disclosure scenarios between users and a data-sharing firm network.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:739-opus4-15501</identifier>
    <enrichment key="opus.source">publish</enrichment>
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    <licence>Standardbedingung laut Einverständniserklärung</licence>
    <author>Philipp Sleziona</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transparency</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Privacy</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Transparenz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Kontrolle</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Privatsphäre</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Datenschutz</value>
    </subject>
    <collection role="ddc" number="330">Wirtschaft</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Wirtschaftswissenschaftliche Fakultät</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <thesisGrantor>Universität Passau</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1550/Sleziona_Philipp_Transparency.pdf</file>
  </doc>
  <doc>
    <id>1058</id>
    <completedYear>2021</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted>2022</thesisYearAccepted>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>vii, 155 Seiten</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>doctoralthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-04-22</completedDate>
    <publishedDate>2022-04-22</publishedDate>
    <thesisDateAccepted>2022-03-14</thesisDateAccepted>
    <title language="eng">Understanding Consumers' Digital Data Disclosure Decision-Making: A Focus on Data Sharing Cooperations, Perceived Risks and Low-Cognitive-Effort Processing</title>
    <abstract language="eng">Due to the advances of digitalization, firms are able to collect more and more personal consumer data and strive to do so. Moreover, many firms nowadays have a data sharing cooperation with other firms, so consumer data is shared with third parties. Accordingly, consumers are confronted regularly with the decision whether to disclose personal data to such a data sharing cooperation (DSC). Despite privacy research has become highly important, peculiarities of such disclosure settings with a DSC between firms have been neglected until now. To address this gap is the first research objective in this thesis. Another underexplored aspect in privacy research is the impact of low-cognitive-effort decision-making. This is because the privacy calculus, the most dominant theory in privacy research, assumes for consumers a purely cognitive effortful and deliberative disclosure decision-making process. Therefore, to expand this perspective and examine the impact of low-cognitive-effort decision-making is the second research objective in this thesis. Additionally, with the third research objective, this thesis strives to unify and increase the understanding of perceived privacy risks and privacy concerns which are the two major antecedents that reduce consumers’ disclosure willingness. &#13;
To this end, five studies are conducted: i) essay 1 examines and compares consumers’ privacy risk perception in a DSC disclosure setting with disclosure settings that include no DSC, ii) essay 2 examines whether in a DSC disclosure setting consumers rely more strongly on low-cognitive-effort processing for their disclosure decision, iii) essay 3 explores different consumer groups that vary in their perception of how a DSC affects their privacy risks, iv) essay 4 refines the understanding of privacy concerns and privacy risks and examines via meta-analysis the varying effect sizes of privacy concerns and privacy risks on privacy behavior depending on the applied measurement approach, v) essay 5 examines via autobiographical recall the effects of consumers’ feelings and arousal on disclosure willingness. &#13;
Overall, this thesis shines light on consumers’ personal data disclosure decision-making: essay 1 shows that the perceived risk associated with a disclosure in a DSC setting is not necessarily higher than to an identical firm without DSC. Also, essay 3 indicates that only for the smallest share of consumers a DSC has a negative impact on their disclosure willingness and that one third of consumers do not intensively think about consequences for their privacy risks arising through a DSC. Additionally, essay 2 shows that a stronger reliance on low-cognitive-effort processing is prevalent in DSC disclosure settings. Moreover, essay 5 displays that even unrelated feelings of consumers can impact their disclosure willingness, but the effect direction also depends on consumers’ arousal level. &#13;
This thesis contributes in three ways to theory: i) it shines light on peculiarities of DSC disclosure settings, ii) it suggests mechanisms and results of low-effort processing, and iii) it enhances the understanding of perceived privacy risks and privacy concerns as well as their resulting effect sizes. &#13;
Besides theoretical contributions, this thesis offers practical implications as well: it allows firms to adjust the disclosure setting and the communication with their consumers in a way that makes them more successful in data collection. It also shows that firms do not need to be too anxious about a reduced disclosure willingness due to being part of a DSC. However, it also helps consumers themselves by showing in which circumstances they are most vulnerable to disclose personal data. That consumers become conscious of situations in which they are especially vulnerable to disclose data could serve as a countermeasure: this could prevent that consumers disclose too much data and regret it afterwards. Similarly, this thesis serves as a thought-provoking input for regulators as it emphasizes the importance of low-cognitive-effort processing for consumers’ decision-making, thus regulators may be able to consider this in the future. &#13;
In sum, this thesis expands knowledge on how consumers decide whether to disclose personal data, especially in DSC settings and regarding low-cognitive-effort processing. It offers a more unified understanding for antecedents of disclosure willingness as well as for consumers’ disclosure decision-making processes. This thesis opens up new research avenues and serves as groundwork, in particular for more research on data disclosures in DSC settings.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:739-opus4-10583</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Standardbedingung laut Einverständniserklärung</licence>
    <author>Tobias Steudner</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Privacy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Disclosure</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dual Processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Emotion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Privacy Concerns</value>
    </subject>
    <collection role="ddc" number="330">Wirtschaft</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Wirtschaftswissenschaftliche Fakultät</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <thesisGrantor>Universität Passau</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1058/Steudner_Tobias_Disclosure_Decision_Making.pdf</file>
  </doc>
</export-example>
