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Статті в журналах з теми "Personalization privacy paradox":

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Karwatzki, Sabrina, Olga Dytynko, Manuel Trenz, and Daniel Veit. "Beyond the Personalization–Privacy Paradox: Privacy Valuation, Transparency Features, and Service Personalization." Journal of Management Information Systems 34, no. 2 (April 3, 2017): 369–400. http://dx.doi.org/10.1080/07421222.2017.1334467.

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Aguirre, Elizabeth, Anne L. Roggeveen, Dhruv Grewal, and Martin Wetzels. "The personalization-privacy paradox: implications for new media." Journal of Consumer Marketing 33, no. 2 (March 21, 2016): 98–110. http://dx.doi.org/10.1108/jcm-06-2015-1458.

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Purpose – This paper aims to investigate personalized communications through digital media, which include display, search, social and mobile communications. Design/methodology/approach – Drawing on the literature pertaining to different digital mediums, the authors explore how different factors influence consumers’ responses to personalized communications. The current study integrates and reviews prior literature related to personalization, seeking a richer understanding of when personalized communications improve or hinder customer–firm interactions. Findings – Personalization can both enhance and diminish consumer engagement with the firm: it may heighten privacy concerns because consumers worry about how their data are collected and used, and it can also benefit them in meaningful ways. Thus, firms must use the information that they collect in a strategic manner to balance this personalization-privacy paradox. This paper finds that the benefits of personalization may vary as a function of the medium through which the communication is conveyed. It suggests directions for research in each of these media and strategies firms can implement to mitigate privacy concerns. Originality/value – This investigation of emerging themes related to search, display, social and mobile communications provides a more comprehensive overview of current research, as well as a foundation for further research into personalization.
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Cloarec, Julien. "The personalization–privacy paradox in the attention economy." Technological Forecasting and Social Change 161 (December 2020): 120299. http://dx.doi.org/10.1016/j.techfore.2020.120299.

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4

Lee, Ae-Ri. "Investigating the Personalization–Privacy Paradox in Internet of Things (IoT) Based on Dual-Factor Theory: Moderating Effects of Type of IoT Service and User Value." Sustainability 13, no. 19 (September 26, 2021): 10679. http://dx.doi.org/10.3390/su131910679.

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Despite people’s concerns over privacy leakage in the Internet of Things (IoT), the needs for personalized IoT services are increasing, creating a conflicting phenomenon viewed as the personalization–privacy (P–P) paradox. This study proposes a research model that utilizes dual-factor theory to investigate the P–P paradox in IoT. It aims to analyze the impact of the dual factor—personalization and privacy concerns related to IoT services—on the intention to use IoT. Further, the model includes four-dimensional motivated innovativeness and previous privacy-invasion experience as key antecedents of the dual factor. Particularly, this study examines the moderating effects of the type of IoT service and user value on the relationship between dual factor and usage intention. Data were collected using a web-based survey. The results showed that personalization had a significant impact on the intention to use IoT, whereas privacy concerns did not. The effects of all antecedents except social innovativeness were significant. The P–P paradox phenomenon appeared differently depending on the type of IoT service and user value. This study contributes to gaining a better understanding of the factors that influence the increase in IoT usage in terms of both protecting and appropriately using personal information for IoT services.
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Kaaniche, Nesrine, Maryline Laurent, and Sana Belguith. "Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey." Journal of Network and Computer Applications 171 (December 2020): 102807. http://dx.doi.org/10.1016/j.jnca.2020.102807.

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Lei, Soey Sut Ieng, Irene Cheng Chu Chan, Jingyi Tang, and Shun Ye. "Will tourists take mobile travel advice? Examining the personalization-privacy paradox." Journal of Hospitality and Tourism Management 50 (March 2022): 288–97. http://dx.doi.org/10.1016/j.jhtm.2022.02.007.

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Weinberger, Maor, and Dan Bouhnik. "Place Determinants for the Personalization-Privacy Tradeoff among Students." Issues in Informing Science and Information Technology 15 (2018): 079–95. http://dx.doi.org/10.28945/4019.

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Aim/Purpose: This exploratory study investigates the influential factors of users’ decisions in the dilemma of whether to agree to online personalization or to protect their online privacy. Background: Various factors related to online privacy and anonymity were considered, such as user’s privacy concern on the Web in general and particularly on social networks, user online privacy literacy, and field of study. Methodology: To this end, 155 students from different fields of study in the Israeli academia were administered closed-ended questionnaires. Findings: The multivariate linear regression analysis showed that as the participants’ privacy concern increases, they tend to prefer privacy protection over online personalization. In addition, there were significant differences between men and women, as men tended to favor privacy protection more than women did. Impact on Society: This research has social implications for the academia and general public as they show it is possible to influence the personalization-privacy tradeoff and encourage users to prefer privacy protection by raising their concern for the preservation of their online privacy. Furthermore, the users’ preference to protect their privacy even at the expense of their online malleability may lead to the reduction of online privacy-paradox behavior. Future Research: Since our results were based on students' self-perceptions, which might be biased, future work should apply qualitative analysis to explore additional types and influencing factors of online privacy behavior.
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Guo, Xitong, Xiaofei Zhang, and Yongqiang Sun. "The privacy–personalization paradox in mHealth services acceptance of different age groups." Electronic Commerce Research and Applications 16 (March 2016): 55–65. http://dx.doi.org/10.1016/j.elerap.2015.11.001.

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Kim, Yeong-Gug, and Eun-Ju Woo. "Privacy Concerns Within Personalization Based on the Internet of Things(IoT): A Perspective from the Privacy Paradox." Journal of Tourism Sciences 42, no. 7 (August 1, 2018): 71–84. http://dx.doi.org/10.17086/jts.2018.42.7.71.84.

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10

Lee, Namyeon, and Ohbyung Kwon. "A privacy-aware feature selection method for solving the personalization–privacy paradox in mobile wellness healthcare services." Expert Systems with Applications 42, no. 5 (April 2015): 2764–71. http://dx.doi.org/10.1016/j.eswa.2014.11.031.

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Дисертації з теми "Personalization privacy paradox":

1

Cloarec, Julien. "The Personalization-Privacy Paradox in the Attention Economy." Thesis, Toulouse 1, 2019. http://www.theses.fr/2019TOU10049.

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Le résumé en français n'a pas été communiqué par l'auteur
The personalization-privacy paradox operates as a continuous, tension-charged cycle. Although consumers expect and consider the value of personalization, marketers’ exploitation of consumers’ personal information to provide personalization raises privacy concerns. Consumers, then, form a reluctance to provide personal information for personalization. Some researchers have attempted to enlist IT solutions to address this issue (e.g., anonymizing techniques and peer-to-peer communication), but these solutions proved ineffective as they were too sophisticated for the average consumer. Consequently, the personalization-privacy paradox, which emerged with the advent of mobile technologies, must be more theoretically founded. To date, the information systems literature primarily explicates the issue by applying myriad micro-oriented theories (e.g., privacy calculus theory, game theory, and information boundary theory). The first chapter suggests that the personalization-privacy paradox should also be examined at a macro level—through the lens of the “attention economy.” Investigating the relationship among personalization, privacy, and attention, brings insights regarding the ecology of attention, choice architecture, and stylistic devices and suggests implications for research and practice. The second chapter builds on both social exchange and construal level theories to investigate the extent to which happiness drives the personalization–privacy trade-off decision, as well as the moderating role of experience sharing frequency as a proxy for reciprocity. An online survey administered to a representative sample of French consumers (n = 649) largely confirms the predictions: happiness is the strongest driver of willingness to disclose information in exchange for personalization, surpassing conventional privacy-related constructs (e.g., trust and risk beliefs). Based on social exchange theory and the engagement literature, the third chapter investigates the influence of SNS activity (i.e., collaborative engagement) on users’ willingness to disclose information for personalization (e.g., a form of engagement with SNS platforms). The model is tested using the same dataset as before (n = 649). The results show that happiness with the Internet increases SNS use frequency through SNS literacy, and trust beliefs (information collection concerns) positively (negatively) impact the strength of the indirect relationship between SNS use frequency and willingness to disclose information for personalization via SNS posting frequency. The fourth and last chapter examines the importance of empowering consumers regarding their privacy. While complex, it is necessary to keep on investigating the ambivalent effect of privacy controls because the trade-off between advertising effectiveness and consumer privacy is at the core of the platform economy, which revenues rely on advertising. The author conducted an online survey among French-speaking Facebook users (n = 227). Through a privacy calculus lens, the author adopted a within-subject design to test the effect of education on privacy controls on satisfaction with Facebook ads. The results show that education on privacy controls indirectly affect the satisfaction with Facebook ads via privacy concerns (negative), fairness (positive), and attention quality (positive)
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Idberg, Lovisa, Sofia Orfanidou, and Oona Karppinen. "Privacy for sale! : An exploratory study of personalization privacy paradox in consumers’ response to personalized advertisements on social networking sites." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105022.

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Social networking sites are channels that allow companies to appeal to their target audience through personalized advertising which has become an increasingly common way for companies to reach their target customers. Personalization is possible through the use of customer data which allows designing an advertisement based on individual consumers' preferences benefiting the consumers with more personally appealing advertisements. However, the collection of the data has led to consumers’ experiencing costs from the personalization involving concerns for the safety of personal information. Because of the tension between benefits and costs of personalization, consumers' behavior has become paradoxical. The consumers’ behaviour does not always correspond to their concerns by which the consumers trade off their privacy to receive benefits from the personalization in return. With that said, this study aims to explore how the personalization privacy paradox appears in the consumers’ response to personalized advertisements on social networking sites by assessing their perception of the benefits and costs of personalized advertisements. Semi-structured interviews of eight participants lead to the main findings of this research identifying four factors that have an impact on consumers’ interaction with the advertisement; (1) simplified purchase decisions, (2) personal interest, (3) personal gain, and (4) trustworthiness. In addition, the research revealed additional findings indicating that consumers' concern for data collection could be changing from privacy risks regarding themselves to concerns about the consequence of data collection on a societal level. Furthermore, the findings show an indication for an emerging dilemma of personalized advertising for companies to overcome. Finally, this research provides implications for both academia as well as practitioners.
3

Hillqvist, Oliver, and Östergren Amanda Johnsson. "The personalization-privacy paradox: personalized ads on social media : Exploring invasive ads on social media, in relation to perceived usefulness, consumer privacy and trust." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95893.

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Background: In the realm of online digital marketing, personalization tailored around the user’s interests are becoming the norm. It is becoming more and more challenging for marketers to get the attention of relevant consumers and get heard through all the noise. While personalized marketing or individually customized advertisements are very prevalent and a norm when browsing the web, its incredible potential as a marketing strategy has not always been obvious. The implications of the internet, coupled with countless technological advances in both hardware and software, have made personalized marketing incredibly effective, hence so prevalent that many techniques are barely noticeable anymore. However, its usefulness towards the consumer is not possible without the same consumer paying with precious personal data, vital for personalization. Personalized advertising on social media sites offers the opportunity to direct ads specifically to user’s, this form of personalized and targeted marketing has raised concerns surrounding user’s privacy. It could have some serious consequences affecting consumer’s privacy, where privacy breaches could collect information without the consumer being aware of it, by clicking on ads. Purpose: The purpose of this thesis is to get a deeper understanding of how personalized ads on social media are generating feelings of invasiveness to users, in relation to privacy concerns, trust, perceived usefulness and the perceived amount of personalization felt. And what factors that are determining in, if an ad is perceived as either invasive or not by the user. Method: A quantitative method is used to conduct the research, which is used to test objective theories that examines the relationship between variables. In this study a deductive approach was implemented, the hypothesis development was greatly influenced by previous findings from relevant studies and literature. The choice of research design was to use a quantitative cross-sectional research approach, after considering the factors just mentioned above. This is applied to the study by looking at primary empirical data, collected through the use of an online self-completion questionnaire. This study will be using a multivariate analysis including three variables or more, and the data will be measured through a regression analysis, Pearson’s correlation coefficient (r) to measure construct validity, and Cronbach’s alpha to measure internal reliability. In the descriptive statistics dispersion and central tendency is analyzed, and the general distribution of the variables is analysed through skewness and kurtosis. contingency tables to analyse the relationship between different variables, and Pearson’s r to examine the relationship between interval and ratio variables. Conclusion: In conclusion, privacy concerns already held by the consumer, plays a huge role in determining whether personalized ads on social media, generates feelings of invasiveness upon the user or not.
4

Toivonen, Elisa. "Surveillance? : The influence of information asymmetry on consumers’ perceptions of online personalization." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22056.

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Data collection and online personalization has become essential part of modern marketing, and thus, embedded into consumer’s everyday life. This has emerged a lot of negative attention in the media and privacy concerns among consumers – however, their attitudes towards privacy seems to be controversial with lack of privacy enhancing behavior. The purpose of this study was to find out what is consumers take on online personalization, data collection and GDPR. In order to the tackle the causing reasons of such perceptions, focus group discussions were performed. The emerging thoughts were analyzed with the concepts of privacy paradox and information asymmetry – how structural imbalance between the advertisement network, companies and consumers impacted to their thinking about personalization and which factors caused the unwillingness to enhance one’s privacy, despite the attitudes that would predict different behavior. The results showed, that many respondents do not mind personalization if they perceive it relevant. However, the intrusive nature of its practices made the participants, directly or indirectly, reluctant towards it, as it was highlighted that it is not personalization per se that made the respondents uncomfortable, but how it was done. Due to the advertisement networks’ opaque nature, the participants founded challenging to comprehend how personalization was performed. Thus, conspiracy theories about surveillance, such as tapping via smartphone, were broad up to explain companies’ ability to know and target them so well. The main channel for companies to inform consumers about their privacy policy is terms and conditions. However, due to several reasons, the decision making for one’s privacy face many hinders, that may influence in how consumers perceive their privacy and how their personal data is collected and used. A controversiality between GDPR’s, companies’ and consumers’ view on privacy self-management is evident, as the regulation and companies rely too much on consumer’s own responsibility.
5

Harrysson, Alexandra, and Julia Olsson. "Personalization paradox: the wish to be remembered and the right to be forgotten : A qualitative study of how companies balance being personal while protecting consumers’ right to privacy." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387611.

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Many argue that personalization is needed in a modern marketing strategy. Whilst there are several positive aspects of personalization, e.g. improved customer satisfaction rates, it can also lead to firms being perceived as intrusive and elicit privacy concerns. This dilemma describes the personalization paradox, which refers to the two-sided results of using personalized communication by collecting and analyzing consumer data. To address the issue of how firms balance the need for personalization while still respecting consumers’ privacy, previous researchers have mainly investigated the issue from the consumer perspective. However, the consumer is believed to display a paradoxical behavior in regards to personalization. Therefore, we have addressed this issue through interviewing 12 company representatives from 7 companies. Our findings indicate that companies are mindful when creating personalized content and do acknowledge the issues with privacy and the risk of being perceived as intrusive. To overcome the personalization paradox, firms are not explicit about their data analysis in their personalized communication as this can lead to consumers feeling discomfort. Finally, an essential way that firms can prevent privacy concerns is to create relevant content as this outweighs feelings of discomfort. These findings to a certain extent do not reflect the empirical research on the topic, however the discrepancies may exist as previous studies were conducted from the consumer side.
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Oliveira, Bruna Miyuki Kasuya de. "A disposição para revelar informações pessoais a sistemas de recomendação: um estudo experimental." reponame:Repositório Institucional do FGV, 2017. http://hdl.handle.net/10438/18712.

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A privacidade de informações na internet é uma das maiores preocupações advindas da ascensão da web 2.0. Entretanto, cada vez é mais comum a requisição e manejamento de dados pessoais por empresas que, por meio de Sistemas de Recomendação (SR), visam garantir aos usuários serviços ou produtos personalizados às suas necessidades. Porém, frequentemente os consumidores enfrentam um paradoxo de privacidade-personalização, pois precisam conceder informações, mas temem como elas serão utilizadas pelas empresas. O uso incoerente de tais dados pode dar ao indivíduo a sensação de que sua liberdade está sendo cerceada, levando-o a reagir de maneira diversa da intenção do sistema. Trata-se, efetivamente, de um efeito bumerangue, entendido como uma resposta oposta à ameaça de sua liberdade na web. Tendo em vista que a literatura de SI explora de maneira insuficiente os efeitos da percepção de intrusão na disposição em revelar informações, sobretudo por meio da teoria da reatância psicológica – de onde advém o efeito bumerangue – o objetivo desta pesquisa foi verificar como a percepção dos usuários sobre a intrusão do Sistema de Recomendação pode afetar a sua disposição em revelar suas informações. Foram realizados dois experimentos, sendo um nos Estados Unidos e outro no Brasil, com amostras válidas de 213 e 237 participantes, respectivamente. Para isto, foi desenvolvido um protótipo de Sistema de Recomendação Experimental na plataforma Qualtrics. As técnicas utilizadas para análise de dados foram a análise de variância de um fator (one-way ANOVA) e a análise de covariância (ANCOVA). Dentre os resultados obtidos, demonstrou-se o efeito bumerangue do SR, pois quanto maior o nível de intrusão do SR, menor a disposição para revelar suas informações; verificou-se a existência de apenas dois níveis de intrusão percebida pelo usuário; foi constatado o impacto das preocupações de privacidade na internet na relação entre percepção de intrusão e disposição em revelar suas informações, além da uniformidade no comportamento entre as duas amostras. Com base nos resultados, espera-se que desenvolvedores de SR e empresas que os utilizam evitem futuros efeitos bumerangue em suas recomendações, o que afugentaria um potencial cliente.
Information privacy on internet is one of the biggest concerns that arise with web 2.0. However, it is increasingly common for companies that use Recommendation Systems (RS) the request and manage of personal data aiming to guarantee personalized services or products to the users. However, consumers often face a privacy-personalization paradox because they need to provide information, but fear how companies will use it. Incoherent use of such data can give to the individual the feeling that their freedom is being curtailed, causing reactions differently than the system’s intention. It is a boomerang effect, understood as an opposed response to the threat of its freedom on the web. Considering that the IS literature insufficiently explores the effects of the perception of intrusion on the willingness to disclose information, especially through the theory of psychological reactance – where the boomerang effect comes from – the objective of this research is to verify how the users' perception of the intrusion of the Recommendation System may affect your willingness to disclose your information. Two experiments were conducted in the United States and Brazil, with valid samples of 213 and 237 participants, respectively. A prototype of an Experimental Recommendation System (ERS) was developed on the Qualtrics platform. The techniques used for data analysis were the analysis of one-way variance (one-way ANOVA) and covariance analysis (ANCOVA). Among the results, the boomerang effect of RS was demonstrated, because the higher the level of SR intrusion, the less is the willingness to disclose its information. It was verified the existence of only two levels of intrusion perceived by the user. The impact of Internet privacy concerns on the relationship between perception of intrusion and willingness to disclose information was verified, as well as the behavioral indifference between the two samples. Based on the results, RS developers and companies that use them are expected to avoid future boomerang effects in their recommendations, which would scare away a potential customer.
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LEE, YI-LIN, and 李宜霖. "Are You Worried about Personalized Service? An Empirical Study of the Personalization-Privacy Paradox." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/j7dcw9.

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碩士
輔仁大學
企業管理學系管理學碩士班
105
Many websites today use personalized recommender systems to provide more attractive service to their customers. The conveniences provided by personalized services are often able to make the website more attractive to its users. In order to increase their competitiveness and customer loyalty, websites are prompted to collect more and more detailed information from its users. On the other hand, users today are also paying more and more attention on their privacy and personal information. They are worried that the website could steal, misuse or sell their information to a third party while expecting more benefit from personalization services, creating the problem of “The personalization-privacy paradox”. This research utilizes the privacy calculus theory to understand the relationship between personalization and privacy, how the users react when they run into the dilemma between privacy concern (perceived risk) and the benefit of personalization (perceived benefit), and how they perceive the value of personalization and influence their willingness to provide personal information. We use online survey to collect empirical data. The result of PLS analysis indicates that personalized service is positively affects perceived benefit. Information sensitivity and privacy concern both positively affects perceived risk. However, when customers are asked for data with low information sensitivity and low privacy concern, they are less likely to evaluate associated risks by performing a cost-benefit analysis. Perceived value is both influenced by perceived benefit and perceived risk and in term, affects customers’ willingness to provide personal information. We expect the findings from this study to provide some new findings for both researchers and developers of personalized recommender systems.
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TrongDanh, Duong, and 楊重名. "The Personalization –Privacy Paradox: An Exploratory Study on the Intention to Disclose via Mobile Phone Applications." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/12594110200331268928.

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碩士
國立成功大學
國際經營管理研究所
103
This study investigates the issue of consumer intention to disclose personal information via mobile applications. The study proposed a theoretical framework that were integrated protection motivation behavior on the basis of privacy calculus in order to explain an individual’s information disclosure behavior. Self-presentation, personalized services, perceived severity, importance of information transparency and perceived control were served as direct antecedents of perceived benefits and perceived risks. This study extends intention to disclose personal information literature by theoretically develop and empirically test the model within the current occurrence of disclosing personal information via mobile applications. Implications and future research are also discussed in this paper.

Частини книг з теми "Personalization privacy paradox":

1

Ku, Yi-Cheng, Peng-Yu Li, and Yi-Lin Lee. "Are You Worried About Personalized Service? An Empirical Study of the Personalization-Privacy Paradox." In HCI in Business, Government, and Organizations, 351–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91716-0_27.

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Тези доповідей конференцій з теми "Personalization privacy paradox":

1

"Place Determinants for the Personalization-Privacy Tradeoff among Students." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4069.

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Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] In this exploratory study we investigate the influential factors of users' decisions in the dilemma whether to agree to online personalization or to protect their online privacy. Background: Various factors related to online privacy and anonymity were considered, such as user's privacy concern on the Web in general and particularly on social networks, user online privacy literacy and field of study. Methodology: To this end, 155 students from different fields of study in the Israeli academia were administered closed-ended questionnaires. Contribution: The main conceptual contribution of this study was the creation of a new direct scale for assessing user decisions regarding the personalization-privacy tradeoff. Another contribution was the investigation of the predictive factors of the personalization-privacy tradeoff. While previous studies found that users seldom allow their privacy concerns to affect their online behavior, our results revealed the opposite, as the participants with a higher level of concern for online privacy tended to prefer privacy protection, at the expense online personalization. Findings: The multivariate linear regression analysis showed that as the participants' privacy concern increases, they tend to prefer privacy protection over online personalization. In addition, we found significant differences between men and women, as men tended to favor privacy protection more than women did. Recommendations for Practitioners: The new direct scale that was developed may be used by other practitioners to measure other issues relating to the privacy paradox behavior. Recommendation for Researchers: The questionnaire may be used by other researchers to examine online information behavior. Impact on Society: This research has social implications for the academia and general public as they show that by raising the concern for the protection of personal information on the Web, it is possible to influence the personalization-privacy tradeoff and encourage users to prefer privacy protection. Furthermore, the enhancement of users' preference for privacy protection over Web-surfing convenience may be used as a mean to mitigate the online privacy paradox behavior. Future Research: Since our results were based on students' self-perceptions, which might be biased, future work should apply qualitative analysis to explore additional types and influencing factors of online privacy behavior.

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