Privacy or Personalization? Drivers, Deterrents and Moderators of Consumers’ Willingness to Disclose Personal Data

2020 ◽  
pp. 27-35
Author(s):  
Teresa Fernandes ◽  
Nuno Pereira
Keyword(s):  
Personal Data ◽  
Willingness To Disclose

Will it be Disclosure or Fabrication of Personal Information?

2010 ◽  
pp. 231-254 ◽  
Author(s):  
Xun Li ◽  
Radhika Santhanam
Keyword(s):  
Personal Information ◽  
Personal Data ◽  
Job Applicants ◽  
Accurate Information ◽  
Hiring Decisions ◽  
Job Applicant ◽  
Privacy Concerns ◽  
Willingness To Disclose ◽  
Information Sensitivity ◽  
Theoretical Foundations

Individuals are increasingly reluctant to disclose personal data and sometimes even intentionally fabricate information to avoid the risk of having it compromised. In this context, organizations face an acute dilemma: they must obtain accurate job applicant information in order to make good hiring decisions, but potential employees may be reluctant to provide accurate information because they fear it could be used for other purposes. Building on theoretical foundations from social cognition and persuasion theory, we propose that, depending on levels of privacy concerns, organizations could use appropriate strategies to persuade job applicants to provide accurate information. We conducted a laboratory experiment to examine the effects of two different persuasion strategies on prospective employees’ willingness to disclose information, measured as their intentions to disclose or falsify information. Our results show support for our suggestion As part of this study, we propose the term information sensitivity to identify the types of personal information that potential employees are most reluctant to disclose.

From social networking to willingness to disclose personal data when shopping online: Modelling in the context of social exchange theory

2021 ◽  
Vol 136 ◽  
pp. 76-85
Author(s):  
Sigitas Urbonavicius ◽  
Mindaugas Degutis ◽  
Ignas Zimaitis ◽  
Vaida Kaduskeviciute ◽  
Vatroslav Skare
Keyword(s):  
Social Networking ◽  
Social Exchange ◽  
Social Exchange Theory ◽  
Personal Data ◽  
Exchange Theory ◽  
Willingness To Disclose

scholarly journals Convincing consumers to share personal data: double-edged effect of offering money

2019 ◽  
Vol 37 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Valentine Weydert ◽  
Pierre Desmet ◽  
Caroline Lancelot-Miltgen
Keyword(s):  
Private Information ◽  
Regulatory Focus ◽  
Personal Data ◽  
Third Party ◽  
Content Type ◽  
Internet Users ◽  
Willingness To Disclose ◽  
Negative Effect ◽  
Potential Negative Effect ◽  
Data Broker

Purpose The purpose of this paper is to demonstrate how offering control on data usage and offering money can increase willingness to share private information with a data broker. Design/methodology/approach Personal data are collected for internet users with a Web questionnaire. In an experimental framework, compensations control money are manipulated and consumers’ data sharing is explained by sensitivity and regulatory focus. Findings Offering control increases willingness to disclose personal data, even sensitive one, but the effect is not moderated by regulatory focus. Offering monetary compensation has a negative, but small, effect on willingness to share personal data, and the effect is moderated by regulatory focus. Originality/value Offering a large amount of money is a double-edged offer, as it creates a signal that increases potential negative effect of disclosing personal data to unknown third party.

scholarly journals The Transformation of Data Marketing: How an Ethical Lens on Consumer Data Collection Shapes the Future of Marketing

2021 ◽  
Vol 13 (20) ◽  
pp. 11208
Author(s):  
Sophie Hemker ◽  
Carolina Herrando ◽  
Efthymios Constantinides
Keyword(s):  
Data Collection ◽  
Personal Data ◽  
Customer Relationships ◽  
Ethical Perspective ◽  
Customer Data ◽  
Willingness To Disclose ◽  
The Future ◽  
Increasing Demand ◽  
The Individual ◽  
Future Of Marketing

With a mass of customer data at our fingertips and the ability to use it to individualize promotion strategies, marketing communications, and product offerings, marketing activities are becoming more and more tailored to the individual customer. However, as concerns about online privacy and the handling of personal data take on an ever-increasing significance, marketers must increasingly evaluate and adapt their personalization and data collection methods. As a result, there is an increasing demand to take a critical look at the collection of data for personalization processes from an ethical perspective and to consider implications for further initiatives to maintain consumers’ trust. This research study utilizes a systematic literature review approach to investigate the current state of knowledge on the tradeoff between personalization and customer privacy by synthesizing and integrating extant knowledge. From the results of the present study’s search process, 20 articles were selected and analyzed for this review. Findings emphasize the importance of strengthening consumer relationships by increasing consumer trust, loyalty, confidence, and emotional attachment through specific organizational activities. The adaptation of marketing-related activities can thereby create a competitive advantage for data-collecting companies, as consumer backlash and privacy concerns decrease, and the willingness to disclose data increases. The current research contributes to the field of marketing by reviewing the issue of increasing personalization at the cost of customer privacy and explores how the resulting ethical considerations may affect the future of marketing practices. It thereby serves to help marketeers to implement effective strategies to ensure customer relationships and the resulting willingness to disclose personal data for personalization processes.

scholarly journals Willingness to Disclose Personal Information: How to Measure it?

2020 ◽  
Vol 31 (4) ◽  
pp. 487-494
Author(s):  
Mindaugas Degutis ◽  
Sigitas Urbonavičius ◽  
Ignas Zimaitis ◽  
Vatroslav Skare ◽  
Dalia Laurutytė
Keyword(s):  
Structural Equation ◽  
Personal Information ◽  
Personal Data ◽  
Profile Data ◽  
Relationship Patterns ◽  
Equation Modelling ◽  
Willingness To Disclose ◽  
Confirmatory Factor ◽  
Different Types ◽  
Separate Dimension

The study investigates a possibility of multidimensionality of a construct of willingness to disclose personal information (WTD). Willingness or unwillingness to disclose personal information has been a widely studied phenomenon as personal data is becoming increasingly important for many industries including marketing. Most of these studies treat the willingness to disclose personal information as a homogenous construct. In many cases it is measured by providing a number of personal information items and asking about the willingness to share them. Although recently there have been studies that find possible multidimensionality of the construct, most of them do not further elaborate this possibility. Therefore, we have adopted a scale used in many previous studies and made an attempt to test the hypotheses that would base the argument regarding the multidimensionality of this construct or even the possibility to consider several separate variables and constructs aimed at measuring the willingness to disclose personal data. This was achieved by using three antecedents of the willingness to disclose personal data – the perceived regulatory effectiveness, privacy awareness and disposition to value privacy – and comparing how they interact with different types of the willingness. This allowed to assess different relationship patterns between the antecedents and possible dimensions of the willingness to disclose personal information. We have employed Exploratory and Confirmatory Factor Analysis to check the homogeneity of the willingness to disclose personal information and Structural Equation Modelling to test the patterns of the relations. We have found that there is more than one separate dimension of WTD which means it could not be treated as a homogenous construct. Factorial analysis distinguishes three types of the willingness linked with three types of data: the willingness to disclose personal data that includes individual facts (profile data), social networking data and online browsing/purchasing data. The conclusion of multidimensionality is also supported by the differences in relationship patterns observed between the antecedents and the willingness to disclose personal information.

scholarly journals Impacts of Trust in Government and Privacy Risk Concern on Willingness to Provide Personal Information in Saudi Arabia

2020 ◽  
Vol 6 (2) ◽  
pp. 7-18
Author(s):  
Alharbi Nesreen Nasser A. ◽  
Yanhui Li
Keyword(s):  
Information Disclosure ◽  
Negative Impact ◽  
Positive Impact ◽  
Personal Information ◽  
Personal Data ◽  
Arabic Language ◽  
Trust In Government ◽  
Privacy Risk ◽  
Online Questionnaire ◽  
Willingness To Disclose

The current study followed a quantitative research design to determine the significance of the relationships presented in the research model. The relationships between Privacy risk concerns, benefit to disclose, trust, and willingness to provide personal information has been tested using SPSS. An online questionnaire in Arabic language was used collect data by distributing survey link via WhatsApp, Twitter, Snapchat, Facebook and Instagram. The sample consists out of 268 respondents. The results of the study indicate that trust has a positive impact on the privacy disclosure revenue whereas privacy risk concerns have a negative impact on the benefits of privacy disclosure. Also the privacy disclosure revenue has a positive impact on the willingness to disclose personal information. Users will increase the quantity and quality of information disclosure when the perceived benefit of personal information disclosure is high. The study also suggests that trust has a positive impact on the willingness to disclose personal information, and the user’s degree of trust in government protection policies and information environment will directly disclose the user’s information. Finally, privacy risk concerns have a negative impact on the willingness to disclose personal information, reduce the user’s perception of the risk of the policy environment and technical environment, and will increase the willingness of users to disclose personal information. Keeping the above points in consideration the Saudi government to keep their aims high towards strong legislations regarding personal data sharing, privacy right and security of the data so that the trust of citizens can be gained towards e-governance.

What if you ask and they say yes? Consumers' willingness to disclose personal data is stronger than you think

2019 ◽  
Vol 62 (6) ◽  
pp. 751-759 ◽  
Author(s):  
Grzegorz Mazurek ◽  
Karolina Małagocka
Keyword(s):  
Personal Data ◽  
Willingness To Disclose

Culturally and Linguistically Diverse Populations: Serving GLBT Families in Our Schools

2009 ◽  
Vol 16 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Ashley M. Frazier
Keyword(s):  
Sexual Orientation ◽  
Cultural Competence ◽  
Service Delivery ◽  
Linguistically Diverse ◽  
Culturally And Linguistically Diverse ◽  
Diverse Populations ◽  
Cultural Issues ◽  
Willingness To Disclose ◽  
Bisexual And Transgender ◽  
Societal Changes

Abstract School speech-language pathologists (SLPs) are increasingly likely to serve children of gay, lesbian, bisexual, and transgender (GLBT) parents or GLBT students as cultural and societal changes create growth in the population and increased willingness to disclose sexual orientation. The American Speech-Language-Hearing Association (ASHA) has a progressive nondiscrimination statement that includes sexual orientation as a protected status and strongly urges the membership to develop cultural competence as a matter of ethical service delivery. The purpose of this article is to describe cultural competence in relation to GLBT culture, discuss GLBT parent and student cultural issues as they are important in parent-school or student-school relations, and to provide suggestions for increasing sensitivity in these types of interactions. A list of resources is provided.

SARI : A User-Oriented Data Bank System for Medical Applications

1976 ◽  
Vol 15 (02) ◽  
pp. 69-74
Author(s):  
M. Goldberg ◽  
B. Doyon
Keyword(s):  
Data Base ◽  
Personal Data ◽  
Data Bank ◽  
Medical Applications ◽  
Basic Principles ◽  
Base Management ◽  
General Data ◽  
Privacy Problem ◽  
Bank System ◽  
Made In

This paper describes a general data base management package, devoted to medical applications. SARI is a user-oriented system, able to take into account applications very different by their nature, structure, size, operating procedures and general objectives, without any specific programming. It can be used in conversational mode by users with no previous knowledge of computers, such as physicians or medical clerks.As medical data are often personal data, the privacy problem is emphasized and a satisfactory solution implemented in SARI.The basic principles of the data base and program organization are described ; specific efforts have been made in order to increase compactness and to make maintenance easy.Several medical applications are now operational with SARI. The next steps will mainly consist in the implementation of highly sophisticated functions.

Measurements method of the audio recordings acoustic quality indicator prepared for registration and processing in the Unified Biometric System

2019 ◽  
pp. 40-46 ◽  
Author(s):  
V.V. Savchenko ◽  
A.V. Savchenko
Keyword(s):  
Quality Control ◽  
Small Sample Size ◽  
Personal Data ◽  
Digital Processing ◽  
Small Sample ◽  
Practical Implementation ◽  
Acoustic Measurements ◽  
Pitch Frequency ◽  
Wide Range ◽  
Automated Quality Control

We consider the task of automated quality control of sound recordings containing voice samples of individuals. It is shown that in this task the most acute is the small sample size. In order to overcome this problem, we propose the novel method of acoustic measurements based on relative stability of the pitch frequency within a voice sample of short duration. An example of its practical implementation using aninter-periodic accumulation of a speech signal is considered. An experimental study with specially developed software provides statistical estimates of the effectiveness of the proposed method in noisy environments. It is shown that this method rejects the audio recording as unsuitable for a voice biometric identification with a probability of 0,95 or more for a signal to noise ratio below 15 dB. The obtained results are intended for use in the development of new and modifying existing systems of collecting and automated quality control of biometric personal data. The article is intended for a wide range of specialists in the field of acoustic measurements and digital processing of speech signals, as well as for practitioners who organize the work of authorized organizations in preparing for registration samples of biometric personal data.

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