The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online

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Abstract

Reluctance to provide personal health information could impede the success of web-based healthcare services. This paper focuses on the role of personal dispositions in disclosing health information online. The conceptual model argues that individuals' intention to disclose such information depends on their trust, privacy concern, and information sensitivity, which are determined by personal dispositions—personality traits, information sensitivity, health status, prior privacy invasions, risk beliefs, and experience—acting as intrinsic antecedents of trust. The data (collected via a lab experiment) and the analysis shed light on the role of personal dispositions. This could assist in enhancing healthcare websites and increase the success of online delivery of health services.

Introduction

Online users have a serious privacy concern about how their personal health information is used, disclosed, and protected, and the degree of control they have over the dissemination of this information [113]. They are also concerned about possible undesirable economic and social consequences resulting from the misuse of such information [68]. Indeed, 88.2% of Internet users express concern about the privacy of their personal information [105], and research suggests that privacy of health information is of focal concern to individuals [13], [15], [49], [70], [98], [101], [112]. Health information privacy concern may even cause individuals to avoid healthcare in sensitive areas [93]. The same presumably applies online where individuals must reveal private health information to receive appropriate care. The advent of the Health Insurance Portability and Accountability Act (HIPAA) has further increased awareness regarding privacy infringements, bringing privacy concerns to the forefront [65].

This study examines such health information privacy concern and its relationship to trust, and how personal disposition, composed of personality traits and various measures of information sensitivity and experience, affects these concerns. Information privacy is defined as the “claim of individuals, groups, or institutions to determine for themselves when, how, and to what extent information about them is communicated to others” ([111], p.7). Privacy concern, on the other hand, is the concern over the loss of privacy and the need for protection against unwarranted communication and use of personal information [17], [100], [61]. Thus information privacy concern is about being in control of information, security of information exchange, and whether the collector of this information will behave appropriately [66], [114]. In this paper, we propose that personal dispositions play an important role in privacy concern and trust. This proposed role of personal dispositions is based on Utility Theory and its application to choice theory in which consumer preferences depend on personal characteristics. The research question addressed is: how do personal dispositions (such as personality traits, health status, information sensitivity, and other personal circumstances) impact privacy concern and trust levels in the decision to provide personal health information online?

Numerous studies on trust have investigated the extrinsic factors (website features and elements) as antecedents of online trust. The major contribution of this study is in revealing the intrinsic factors (individuals' dispositions) that impact online trust. In doing so, the study extends trust theory into the dual perspective—intrinsic and extrinsic—of online trust in the health context. The second contribution of this study to is in identifying the process by which personal dispositions impact individuals' trust and behavior intention. Rather than doing so directly, personal dispositions impact trust and behavior intention through information sensitivity and privacy concern. These findings should enhance managers' understandings of the information needed to personalize and customize health sites to address private health information.

Section snippets

Theoretical background and research model

Disclosing health information online is a decision that individuals have to make in their encounter with online healthcare and health-information providers. Web-users disclose personal information online in the hope of gaining benefits that such a disclosure may entail, such as receiving health advice, access to health providers, and personalized health and fitness evaluation. At the same time, once personal health information is disclosed online, it may be abused or accessed without

Methodology

We tested the research hypotheses using the student population at a Midwestern university. Students were recruited through an email announcement. The research study was conducted in a lab using online access. Participants were randomly assigned to view one out of three health websites. After viewing the website, the participants answered a few questions about the contents of the website and completed the instrument. The total number of collected observations was 367. Basic statistics of the

Summary of the results

The study shows that perceived health information sensitivity influences privacy concern, which in turn is impacted by personality traits and health status. Personality traits influence perception of health information sensitivity in different ways. Emotional instability increases this sensitivity, whereas intellect marginally decreases, and agreeableness marginally increases, information sensitivity. Emotional instability heightens the fears of possible negative outcomes, which leads to

Conclusion

The results extend privacy and trust literature by showing that personal dispositions should be taken into consideration when examining privacy concern and behavioral intentions to disclose health information online. This extension is supported by Utility Theory and the understanding that behavior choices should depend not only on the circumstances but also on individuals' dispositions and experiences. Adding personality traits, a central theme in social psychology, to MIS research opens up new

Dr. Fatemeh “Mariam” Zahedi: Trisept Solutions Professor at present, and Wisconsin Distinguished Professor (1997–2007), MIS Area at the School of Business, University of Wisconsin-Milwaukee. She has received her doctoral degree from Indiana University. Her present areas of research include web-based systems and web interface design issues including personalization and trust, loyalty, personalized intelligent interface, IS design in healthcare, DSS, and policy and decision analysis. She has

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    Dr. Fatemeh “Mariam” Zahedi: Trisept Solutions Professor at present, and Wisconsin Distinguished Professor (1997–2007), MIS Area at the School of Business, University of Wisconsin-Milwaukee. She has received her doctoral degree from Indiana University. Her present areas of research include web-based systems and web interface design issues including personalization and trust, loyalty, personalized intelligent interface, IS design in healthcare, DSS, and policy and decision analysis. She has published more than 50 papers in major refereed journals, including: Information Systems Research, Management Science, Journal of MIS, MIS Quarterly, Decision Support Systems, Information & Management, Decision Sciences, IEEE Transactions on Software Engineering, DATA Base, Communications of the ACM, IEEE Transactions on Professional Communications, IIE Transactions, European Journal of Operations Research, Operations Research, Computers and Operations Research, Journal of Review of Economics and Statistics, Empirical Economics; Socio-Economic Planning Sciences, Interfaces, and others. She has numerous publications in conference proceedings, and is the author of two books in Quality Information Systems and Intelligent Systems for Business: Expert Systems with Neural Network. She also has more than 30 publications in major referred conference proceedings. Dr. Zahedi has served on the editorial board of a number of journals, including Information Systems Research, Journal of MIS, MISQ, and Information Resource Management Journal. She is currently serving as a senior editor for MISQ. She has a number of years of consulting and managerial experiences in developing information systems and performing policy analysis. She has received several awards for her teaching quality and research publications.

    Dr. David Gefen ([email protected]) is a Professor of MIS at Drexel University, Philadelphia USA, where he teaches Strategic Management of IT, Database Analysis and Design, and VB.NET. He received his Ph.D. in CIS from Georgia State University and a Master of Sciences in MIS from Tel-Aviv University. His research focuses on trust and culture as they apply to the psychological and rational processes involved in ERP, CMC, and e-commerce implementation management, and to outsourcing. David's wide interests in IT adoption stem from his 12 years of experience in developing and managing large information systems. His research findings have been published in MISQ, ISR, IEEE TEM, JMIS, JSIS, DATABASE, Omega: the International Journal of Management Science, JAIS, CAIS, and elsewhere. David is an author of a textbook on VB.NET programming. David is on the Editorial Boards of MISQ, JMIS, and DATABASE.

    Dr. Gaurav Bansal is an Asst Prof in Business Administration Department at University of Wisconsin-Green Bay. He earned his Ph.D. in Management Information Systems from University of Wisconsin-Milwaukee, M.B.A. from Kent State University, Ohio and B.E. in Mechanical Engineering from MMM Engineering College, Gorakhpur, India. Dr. Bansal has published in Journal of Management Information Systems. His research was nominated for best paper award at the International Conference on Information Systems, 2008. Dr. Bansal has also served as minitrack chair for Americas Conference on Information Systems 2009. His current research interests are in the areas of internet privacy concerns, e-commerce and trust. He is a member of AIS.

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