Privacy enhancing technology adoption and its impact on SMEs’ performance by Tahereh Hasani, Davar Rezania, Nadège Levallet, Norman O’Reilly, Mohammad Mohammadi

“…As society places greater emphasis on information privacy and data protection, organizations are increasingly adopting Privacy Enhancing Technologies (PETs) to safeguard the personal information of their stakeholders. …”
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Preserving Privacy Based on Semantic Policy Tools by Kagal, Lalana, Pato, Joseph

“…Sharing data lets these organizations discover important knowledge and draw useful conclusions but raises concerns about information privacy and trust. Until recently, the focus was on restricting access to data on a "need-to-know" basis, but since the 9/11 Commission, the paradigm has shifted to a "need to share." …”
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Hierarchical decentralized optimization architecture for economic dispatch : a new approach for large-scale power system by Guo, Fanghong, Wen, Changyun, Mao, Jianfeng, Chen, Jiawei, Song, Yong-Duan

“…In addition, as only local individual estimate is exchanged between the local agent and the coordinator agent, the communication burden is reduced and the information privacy is also protected. It is theoretically shown that under proposed hierarchical decentralized optimization architecture, each local generator agent can obtain the optimal solution in a decentralized fashion. …”
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Reconfiguring privacy and confidentiality practices: a case study of technological integration in HIV health services by Papoutsi, C

“…<p>Changes to the technological landscape of the National Health Service (NHS) in the UK have often raised debates on information privacy and patient confidentiality. This has been especially pertinent in the context of HIV health services, where patient records have been historically segregated from hospital notes to protect confidentiality and account for the nature of the condition as a stigmatised terminal illness. …”

Data sharing in the age of predictive psychiatry: an adolescent perspective by Pavarini, G, Yosifova, A, Wang, K, Wilcox, B, Tomat, N, Lorimer, J, Kariyawasam, L, George, L, Alí, S, Singh, I

“…These services raise several ethical challenges surrounding data sharing and information privacy.</p> <p><strong>Objectives:</strong>&nbsp;This study aimed to investigate young people&rsquo;s interest in predictive testing for mental health challenges and their attitudes towards sharing biological, psychosocial and digital data for such purpose.…”

A Reference Design Model to Manage Consent in Data Subjects-Centered Internet of Things Devices by Pankaj Khatiwada, Bian Yang, Jia-Chun Lin, Godfrey Mugurusi, Stian Underbekken

“…But, as more people use IoT devices, many questions arise about how these devices handle private data and whether they properly ask for permission when using it. Due to information privacy regulations such as the EU’s General Data Protection Regulation (GDPR), which requires companies to seek permission from data subjects (DS) before using their data, it is crucial for IoT companies to obtain this permission correctly. …”
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Adoption of video consultations during the COVID-19 pandemic by Filipe Viana Pereira, Jorge Tavares, Tiago Oliveira

“…Methods: An extended technology acceptance model was created based on the diffusion of innovation theory (DOI), unified theory of acceptance and use of technology (UTAUT), health belief model (HBM), and concerns for information privacy framework (CFIP). 346 valid responses were collected through an online questionnaire, and the partial least squares (PLS) modeling approach was used to test the model. …”
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Clicks for credit: an analysis of healthcare professionals’ social media use and potential for continuing professional development activities by Logan Van Ravenswaay, Alex Parnes, Sarah A. Nisly

“…Participant-reported concerns include issues with legitimacy of the information, privacy, time constraints, and institutional barriers.Discussion As the continuing professional development community continues to evolve and seek new innovative strategies to reach healthcare professionals, the findings of this survey highlight the need to identify and enact social media-based strategies aimed to engage healthcare professionals and provide them with unbiased evidence-based education.…”
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Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science by Shinya Watanuki, Yumiko Nomura, Yuki Kiyota, Minami Kubo, Kenji Fujimoto, Junko Okada, Katsue Edo

“…Although a multimodal data analysis, comprising physiological and questionnaire survey data, provides better insights into addressing management science concerns, such as challenging the predictions of consumer choice behavior, studies in this field are scarce because of two obstacles: limited sample size and information privacy. This study addresses these challenges by synthesizing multimodal data using deep generative models. …”
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Perceptions of ICT Practitioners Regarding Software Privacy by Edna Dias Canedo, Angelica Toffano Seidel Calazans, Eloisa Toffano Seidel Masson, Pedro Henrique Teixeira Costa, Fernanda Lima

“…During software development activities, it is important for Information and Communication Technology (ICT) practitioners to know and understand practices and guidelines regarding information privacy, as software requirements must comply with data privacy laws and members of development teams should know current legislation related to the protection of personal data. …”
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The perceived impact of location privacy: A web-based survey of public health perspectives and requirements in the UK and Canada by Boulos Maged, AbdelMalik Philip, Jones Ray

“…Ninety three percent of participants indicated a requirement for personally identifiable data (PID) in their public health activities, including geographic information. Privacy was identified as an obstacle to public health practice by 71% of respondents. …”
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&#x201C;Why Should I Read the Privacy Policy, I Just Need the Service&#x201D;: A Study on Attitudes and Perceptions Toward Privacy Policies by Duha Ibdah, Nada Lachtar, Satya Meenakshi Raparthi, Anys Bacha

“…From voice assistants that listen to every conversation, to apps that share sensitive location information, privacy experts have raised concerns about how such data is being abused. …”
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Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey by Abdul Majeed, Sungchang Lee

“…It is of paramount importance to provide good perspectives of the whole information privacy area involving both tabular and SN data, and recent anonymization researches. …”
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Multi-Area State Estimation: A Distributed Quasi-Static Innovation-Based Model with an Alternative Direction Method of Multipliers by Nader Aljohani, Tierui Zou, Arturo S. Bretas, Newton G. Bretas

“…With grid deregulation, and awareness of information privacy and security, much attention has been given to multi-area state estimation. …”
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VRepChain: a decentralized and privacy-preserving reputation system for social Internet of vehicles based on blockchain by Liu, Yuan, Xiong, Zehui, Hu, Qin, Niyato, Dusit, Zhang, Jie, Miao, Chunyan, Leung, Cyril, Tian, Zhihong

“…Meanwhile, the blockchain technology with its distributed paradigm is potentially employed to protect information privacy. In this study, we propose the design of a blockchain-enabled reputation system named “VRepChain” for SIoV by especially considering the rating privacy issue. …”
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A multi-unit combinatorial auction based approach for decentralized multi-project scheduling by Song, Wen, Kang, Donghun, Zhang, Jie, Xi, Hui

“…Existing approaches encounter difficulties in dealing with large DRCMPSP cases while respecting the information privacy requirements of the project agents. …”
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Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks by Saputra, Yuris Mulya, Nguyen, Diep N., Hoang, Dinh Thai, X. Vu, Thang, Dutkiewicz, Eryk, Chatzinotas, Symeon

“…To that end, we first introduce an energy demand prediction method for CSs leveraging federated learning approaches, in which each CS can train its own energy transactions locally and exchange its learned model with other CSs to improve the learning quality while protecting the CS's information privacy. Based on the predicted energy demands, each CS can reserve energy from the smart grid provider (SGP) in advance to optimize its profit. …”
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The influence of mobile environmental cues on purchasing intention and positive user-generated content spread in instagram context / Azlin Zanariah Bahtar by Bahtar, Azlin Zanariah

“…Stimulus-Organism-Responses (SOR) Model by Eroglu et al. (2001) is adopted in this study along with other relevant and related models to examine the impact of mobile environmental cues (page image layout, information, privacy, and shaped discussion) on customers' cognitive (perceived usefulness and perceived ease of use), and affective (arousal and pleasure) states that in turn, influence their purchase intention and positive user-generated content (UGC) spread. …”
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Capture-24: Activity tracker dataset for human activity recognition by Chan Chang, S, Walmsley, R, Gershuny , J, Harms, T, Thomas, E, Milton, K, Kelly, P, Foster, C, Wong, A, Gray, N, Haque, S, Hollowell, S, Doherty, A

“…Accordingly, in the conduct of the Analysis, users will comply with all applicable laws and regulations relating to information privacy. Further, the user agrees to preserve the confidentiality of, and not attempt to identify, individuals in the Data Set.…”

Building a research partnership between computer scientists and health service researchers for access and analysis of population-level health datasets: what are we learning? by Michael Schull, Michael Brudno, Marzyeh Ghassemi, Garth Gibson, Anna Goldenbrg, Alison Paprica, Laura Rosella, Therese Stukel, Charles Victor, Carl Virtanen

“…ML model assumptions); 5) differences in research timeline expectations; 6) different experience with and expectations for access to de-identified routinely collected data (e.g., need for research ethics committee project approvals and privacy impact assessments); 7) developing data access models that enable greater flexibility (e.g., importing code or using open source tools); 8) broadening data access models to allow modern high-dimensional exploratory data analysis; 9) obtaining support of information/privacy regulator; 10) the hardware is the (relatively) easy part compared to other success factors. …”
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