What drives internet users’ willingness to provide personal information?

2018 ◽  
Vol 42 (6) ◽  
pp. 923-939 ◽  
Author(s):  
Ching-Hsuan Yeh ◽  
Yi-Shun Wang ◽  
Shin-Jeng Lin ◽  
Timmy H. Tseng ◽  
Hsin-Hui Lin ◽  
...  
Keyword(s):  
Risk Taking ◽  
Personal Information ◽  
Information Privacy ◽  
Extrinsic Rewards ◽  
Content Type ◽  
Privacy Concerns ◽  
Internet Users ◽  
Information Privacy Concerns ◽  
The Relationship ◽  
Least Squares Approach

Purpose Considering that users’ information privacy concerns may affect the development of e-commerce, the purpose of this paper is to explore what drives internet users’ willingness to provide personal information; further, the paper examines how extrinsic rewards moderate the relationship between users’ information privacy concerns and willingness to provide personal information. Design/methodology/approach Data collected from 345 valid internet users in the context of electronic commerce were analyzed using the partial least squares approach. Findings The result showed that agreeableness, risk-taking propensity and experience of privacy invasion were three main antecedents of information privacy concerns among the seven individual factors. Additionally, information privacy concerns did not significantly affect users’ willingness to provide personal information in the privacy calculation mechanism; however, extrinsic rewards directly affected users’ disclosure intention. The authors found that extrinsic rewards had not moderated the relationship between users’ information privacy concerns and their willingness to provide personal information. Originality/value This study is an exploratory effort to develop and validate a model for explaining why internet users were willing to provide personal information. The results of this study are helpful to researchers in developing theories of information privacy concerns and to practitioners in promoting internet users’ willingness to provide personal information in an e-commerce context.

Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

2004 ◽  
Vol 15 (4) ◽  
pp. 336-355 ◽  
Author(s):  
Naresh K. Malhotra ◽  
Sung S. Kim ◽  
James Agarwal
Keyword(s):  
Behavioral Intention ◽  
Causal Model ◽  
Personal Information ◽  
Information Privacy ◽  
Second Order ◽  
Privacy Concerns ◽  
Internet Users ◽  
Information Privacy Concerns ◽  
Online Consumers ◽  
Order Construct

The lack of consumer confidence in information privacy has been identified as a major problem hampering the growth of e-commerce. Despite the importance of understanding the nature of online consumers' concerns for information privacy, this topic has received little attention in the information systems community. To fill the gap in the literature, this article focuses on three distinct, yet closely related, issues. First, drawing on social contract theory, we offer a theoretical framework on the dimensionality of Internet users' information privacy concerns (IUIPC). Second, we attempt to operationalize the multidimensional notion of IUIPC using a second-order construct, and we develop a scale for it. Third, we propose and test a causal model on the relationship between IUIPC and behavioral intention toward releasing personal information at the request of a marketer. We conducted two separate field surveys and collected data from 742 household respondents in one-on-one, face-to-face interviews. The results of this study indicate that the second-order IUIPC factor, which consists of three first-order dimensions—namely, collection, control, and awareness—exhibited desirable psychometric properties in the context of online privacy. In addition, we found that the causal model centering on IUIPC fits the data satisfactorily and explains a large amount of variance in behavioral intention, suggesting that the proposed model will serve as a useful tool for analyzing online consumers' reactions to various privacy threats on the Internet.

Internet Users' Information Privacy Concerns Scale

2004 ◽  
Author(s):  
Naresh K. Malhotra ◽  
Sung S. Kim ◽  
James Agarwal
Keyword(s):  
Information Privacy ◽  
Privacy Concerns ◽  
Internet Users ◽  
Information Privacy Concerns

Validity and Reliability of the Scale Internet Users’ Information Privacy Concerns (IUIPC)

2021 ◽  
Vol 2021 (2) ◽  
pp. 235-258
Author(s):  
Thomas Groß
Keyword(s):  
Construct Validity ◽  
Human Factors ◽  
Latent Variables ◽  
Information Privacy ◽  
Privacy Concern ◽  
Validity And Reliability ◽  
Privacy Concerns ◽  
Internet Users ◽  
Information Privacy Concerns ◽  
Privacy Paradox

Abstract Internet Users’ Information Privacy Concerns (IUIPC-10) is one of the most endorsed privacy concern scales. It is widely used in the evaluation of human factors of PETs and the investigation of the privacy paradox. Even though its predecessor Concern For Information Privacy (CFIP) has been evaluated independently and the instrument itself seen some scrutiny, we are still missing a dedicated confirmation of IUIPC-10, itself. We aim at closing this gap by systematically analyzing IUIPC’s construct validity and reliability. We obtained three mutually independent samples with a total of N = 1031 participants. We conducted a confirmatory factor analysis (CFA) on our main sample to assert the validity and reliability of IUIPC-10. Having found weaknesses, we proposed a respecified instrument IUIPC-8 with improved psychometric properties. Finally, we confirmed our findings on a validation sample. While we found sound foundations for content validity and could confirm the overall three-dimensionality of IUIPC-10, we observed evidence of biases in the question wording and found that IUIPC-10 consistently missed the mark in evaluations of construct validity and reliability, calling into question the unidimensionality of its sub-scales Awareness and Control. Our respecified scale IUIPC-8 offers a statistically significantly better model and outperforms IUIPC-10’s construct validity and reliability. The disconfirming evidence on IUIPC-10’s construct validity raises doubts how well it measures the latent variable Information Privacy Concern. The less than desired reliability could yield spurious and erratic results as well as attenuate relations with other latent variables, such as behavior. Thereby, the instrument could confound studies of human factors of PETs or the privacy paradox, in general.

scholarly journals Information Privacy Concerns Among Instagram Users: The Case of Indonesian College Students

2020 ◽  
Vol 6 (2) ◽  
pp. 159
Author(s):  
Eko Wahyu Tyas Darmaningrat ◽  
Hanim Maria Astuti ◽  
Fadhila Alfi
Keyword(s):  
College Students ◽  
Private Information ◽  
Structural Equation ◽  
Personal Information ◽  
Information Privacy ◽  
Risk Awareness ◽  
User Privacy ◽  
Privacy Concerns ◽  
Information Privacy Concerns ◽  
Increased Risk

Background: Teenagers in Indonesia have an open nature and satisfy their desire to exist by uploading photos or videos and writing posts on Instagram. The habit of uploading photos, videos, or writings containing their personal information can be dangerous and potentially cause user privacy problems. Several criminal cases caused by information misuse have occurred in Indonesia.Objective: This paper investigates information privacy concerns among Instagram users in Indonesia, more specifically amongst college students, the largest user group of Instagram in Indonesia.Methods: This study referred to the Internet Users' Information Privacy Concerns (IUIPC) method by collecting data through the distribution of online questionnaires and analyzed the data by using Structural Equation Modelling (SEM).Results: The research finding showed that even though students are mindful of the potential danger of information misuse in Instagram, it does not affect their intention to use Instagram. Other factors that influence Indonesian college students' trust are Instagram's reputation, the number of users who use Instagram, the ease of using Instagram, the skills and knowledge of Indonesian students about Instagram, and the privacy settings that Instagram has.Conclusion: The awareness and concern of Indonesian college students for information privacy will significantly influence the increased risk awareness of information privacy. However, the increase in risk awareness does not directly affect Indonesian college students' behavior to post their private information on Instagram.

Monetization of Personal Digital Identity Information

2018 ◽  
pp. 29-43
Author(s):  
Joseph Kwame Adjei
Keyword(s):  
Personal Identity ◽  
Business Models ◽  
Personal Information ◽  
Information Privacy ◽  
Digital Identity ◽  
Privacy Concerns ◽  
Identity Information ◽  
Business Transactions ◽  
Information Privacy Concerns ◽  
Modern Business

Monetization of personal identity information has become a major component of modern business models, contributing to dramatic innovations in the collection, aggregation, and use of personal information. This phenomenon is commonplace given that parties to business transactions and social interactions usually rely on the issue of claims and disclosure of unique attributes and credentials for proof and verification of identity. However, the heightened societal information privacy concerns and the diminishing level of trust between transacting parties make such attempts to monetize personal information a very risky endeavor. This chapter examines the major technological and regulatory imperatives in the monetization of personal identity information. The resulting monetization model provides an important source of reference for effective monetization of personal information.

Dataveillance and Information Privacy Concerns

Biometrics ◽  
2017 ◽  
pp. 1522-1542
Author(s):  
Regina Connolly ◽  
Grace Kenny
Keyword(s):  
Ethical Issues ◽  
Information Privacy ◽  
Personal Health ◽  
Employee Privacy ◽  
Privacy Concerns ◽  
Recent Growth ◽  
Information Privacy Concerns ◽  
Opt Out ◽  
Health And Fitness ◽  
Workplace Surveillance

Information privacy research historically focuses on exploring individuals' concerns in the transaction environment. However, the recent growth of technology-enabled workplace surveillance is raising many concerns over employees' privacy. Employee surveillance practices are becoming increasingly prevalent, ranging from monitoring internet and email activities to capturing employees' interactions with customers and employees' personal health and fitness data using wearable health devices. Individuals may understand that employers can monitor their activities, but may not the potential uses or the repercussions of such monitoring. Moreover, employees may not feel they have the ability to opt-out of this monitoring. This chapter explores the privacy and ethical issues surrounding emerging means of workplace surveillance. The chapter considers both employee and employer perspectives and poses many questions to consider when deciding when does legitimate monitoring become an invasion of employee privacy?

Monetization of Personal Digital Identity Information

2019 ◽  
pp. 283-293
Author(s):  
Joseph Kwame Adjei
Keyword(s):  
Personal Identity ◽  
Business Models ◽  
Personal Information ◽  
Information Privacy ◽  
Digital Identity ◽  
Privacy Concerns ◽  
Identity Information ◽  
Business Transactions ◽  
Information Privacy Concerns ◽  
Modern Business

Monetization of personal identity information has become a major component of modern business models, contributing to dramatic innovations in the collection, aggregation, and use of personal information. This phenomenon is commonplace given that parties to business transactions and social interactions usually rely on the issue of claims and disclosure of unique attributes and credentials for proof and verification of identity. However, the heightened societal information privacy concerns and the diminishing level of trust between transacting parties make such attempts to monetize personal information a very risky endeavor. This chapter examines the major technological and regulatory imperatives in the monetization of personal identity information. The resulting monetization model provides an important source of reference for effective monetization of personal information.

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