Open Materials Discourse: Re-Evaluating Internet Users' Information Privacy Concerns: The Case in Japan

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This paper provides the survey materials used to collect the data for the conceptual replication of the Internet Users' Information Privacy Concerns (IUIPC) model by Malhotra et al. (2004). The replication paper (Pape et al., 2020) used awareness, collection and control as constructs for the second order construct of IUIPC, as well as risk and trusting beliefs from the original paper. Instead of intended behavior the self-developed construct of willingness to share was used. Altogether more than 9,000 data points were collected. This paper provides additional materials and details on the participants, and the Japanese survey questions along with an English version for readers who are unfamiliar with Japanese. We hope that the additional information and in particular the Japanese questions provide some background on our study which will allow others a better understanding of our research and to make use of the questions themselves.

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... That changed with a series of papers investigating reasons for the (non-)adoption of Tor [20] and JonDonym [17]. Based on the construct of internet users' information privacy concerns [42,43] Harborth and Pape found that trust beliefs in the anonymization service played a huge role for the adoption [18,19]. Further work [21] indicates that the providers' reputation, aka trust in the provider, played also a major role in the users' willingness to pay for or donate to these services. ...
Users report that they have regretted accidentally sharing personal information on social media. There have been proposals to help protect the privacy of these users, by providing tools which analyze text or images and detect personal information or privacy disclosure with the objective to alert the user of a privacy risk and transform the content. However, these proposals rely on having access to users' data and users have reported that they have privacy concerns about the tools themselves. In this study, we investigate whether these privacy concerns are unique to privacy tools or whether they are comparable to privacy concerns about non-privacy tools that also process personal information. We conduct a user experiment to compare the level of privacy concern towards privacy tools and non-privacy tools for text and image content, qualitatively analyze the reason for those privacy concerns, and evaluate which assurances are perceived to reduce that concern. The results show privacy tools are at a disadvantage: participants have a higher level of privacy concern about being surveilled by the privacy tools, and the same level concern about intrusion and secondary use of their personal information compared to non-privacy tools. In addition, the reasons for these concerns and assurances that are perceived to reduce privacy concern are also similar. We discuss what these results mean for the development of privacy tools that process user content.
... For that purpose we used the IUIPC construct [125,159,160]. The IUIPC construct has been used in various contexts, such as internet of things [136], internet transactions [95] and mobile apps [174], but so far it had not been applied to a PET such as an anonymization service. ...
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In order to address security and privacy problems in practice, it is very important to have a solid elicitation of requirements, before trying to address the problem. In this thesis, specific challenges of the areas of social engineering, security management and privacy enhancing technologies are analyzed: Social Engineering: An overview of existing tools usable for social engineering is provided and defenses against social engineering are analyzed. Serious games are proposed as a more pleasant way to raise employees’ awareness and to train them. Security Management: Specific requirements for small and medium sized energy providers are analyzed and a set of tools to support them in assessing security risks and improving their security is proposed. Larger enterprises are supported by a method to collect security key performance indicators for different subsidiaries and with a risk assessment method for apps on mobile devices. Furthermore, a method to select a secure cloud provider – the currently most popular form of outsourcing – is provided. Privacy Enhancing Technologies: Relevant factors for the users’ adoption of privacy enhancing technologies are identified and economic incentives and hindrances for companies are discussed. Privacy by design is applied to integrate privacy into the use cases e-commerce and internet of things.
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