Laziness as an explanation for the privacy paradox: a longitudinal empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jakob Wirth ◽  
Christian Maier ◽  
Sven Laumer ◽  
Tim Weitzel
Keyword(s):  
Private Information ◽  
Structural Equation ◽  
Personal Information ◽  
Past Research ◽  
Equation Modeling ◽  
Smart Devices ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Paradox

Purpose“Smart devices think you're “too lazy” to opt out of privacy defaults” was the headline of a recent news report indicating that individuals might be too lazy to stop disclosing their private information and therefore to protect their information privacy. In current privacy research, privacy concerns and self-disclosure are central constructs regarding protecting privacy. One might assume that being concerned about protecting privacy would lead individuals to disclose less personal information. However, past research has shown that individuals continue to disclose personal information despite high privacy concerns, which is commonly referred to as the privacy paradox. This study introduces laziness as a personality trait in the privacy context, asking to what degree individual laziness influences privacy issues.Design/methodology/approachAfter conceptualizing, defining and operationalizing laziness, the authors analyzed information collected in a longitudinal empirical study and evaluated the results through structural equation modeling.FindingsThe findings show that the privacy paradox holds true, yet the level of laziness influences it. In particular, the privacy paradox applies to very lazy individuals but not to less lazy individuals.Research limitations/implicationsWith these results one can better explain the privacy paradox and self-disclosure behavior.Practical implicationsThe state might want to introduce laws that not only bring organizations to handle information in a private manner but also make it as easy as possible for individuals to protect their privacy.Originality/valueBased on a literature review, a clear research gap has been identified, filled by this research study.

scholarly journals Privacy concerns and self-disclosure in private and public uses of social media

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Ángel Hernández-García
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Public Information ◽  
Information Privacy ◽  
Equation Modeling ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Single View ◽  
Privacy Paradox ◽  
Social Threats

The study contributes to the ongoing debate about the ‘privacy paradox’ in the context of using social media. The presence of a privacy paradox is often declared if there is no relationship between users’ information privacy concerns and their online self-disclosure. However, prior research has produced conflicting results. The novel contribution of this study is that we consider public and private self-disclosure separately. The data came from a cross-national survey of 1,500 Canadians. For the purposes of the study, we only examined the subset of the 545 people who had at least one public account and one private account. Going beyond a single view of self-disclosure, we captured five dimensions of self-disclosure: Amount, Depth, Polarity, Accuracy, and Intent; and two aspects of privacy concerns : concerns about organizational and social threats. To examine the collected data, we used Partial Least Squares Structural Equation Modeling (PLS-SEM). Our research does not support the presence of a privacy paradox as we found a relationship between privacy concerns from organizational and social threats and most of the dimensions of self-disclosure (even if the relationship was weak). There was no difference between patterns of self-disclosure on private versus public accounts. Different privacy concerns may trigger different privacy protection responses and, thus, may interact with self-disclosure differently. Concerns about organizational threats increase awareness and accuracy while reducing amount and depth, while concerns about social threats reduce accuracy and awareness while increasing amount and depth. Keywords: social media, privacy paradox, private vs public, information privacy, self-disclosure

Information self-disclosure on mobile instant messaging applications

2019 ◽  
Vol 32 (1) ◽  
pp. 98-117 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
United Arab Emirates ◽  
Structural Equation ◽  
Design Methodology ◽  
Instant Messaging ◽  
Personal Information ◽  
Equation Modeling ◽  
Individual Factors ◽  
Self Disclosure ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to develop a conceptual framework, which identifies intrinsic, social and extrinsic gratification factors as essential individual factors influencing users’ disclosure of personal information via mobile instant messaging (MIM) applications (apps). In addition, the author has examined whether gender affects those different factors of gratification. Design/methodology/approach Data are collected via paper-based survey from university students who use MIM in the United Arab Emirates. Structural equation modeling is used to test the hypotheses that are presented in the model. Findings The findings show that intrinsic gratifications (entertainment and escapism) and social gratifications (social interaction) have positive effects on the depth and breadth of self-disclosure via MIM apps. Additionally, women’s self-disclosure of personal information is positively affected by social influence, while men are not influenced by this type of gratification. Originality/value The study aims to enhance the current understanding of the limited research on the uses and gratifications approach within the context of MIM apps to identify the gratifications that motivate MIM apps users to disclose personal information.

scholarly journals Privacy concerns and self-disclosure in private and public uses of social media

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Ángel Hernández-García
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Public Information ◽  
Information Privacy ◽  
Equation Modeling ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Single View ◽  
Privacy Paradox ◽  
Social Threats

The study contributes to the ongoing debate about the ‘privacy paradox’ in the context of using social media. The presence of a privacy paradox is often declared if there is no relationship between users’ information privacy concerns and their online self-disclosure. However, prior research has produced conflicting results. The novel contribution of this study is that we consider public and private self-disclosure separately. The data came from a cross-national survey of 1,500 Canadians. For the purposes of the study, we only examined the subset of the 545 people who had at least one public account and one private account. Going beyond a single view of self-disclosure, we captured five dimensions of self-disclosure: Amount, Depth, Polarity, Accuracy, and Intent; and two aspects of privacy concerns : concerns about organizational and social threats. To examine the collected data, we used Partial Least Squares Structural Equation Modeling (PLS-SEM). Our research does not support the presence of a privacy paradox as we found a relationship between privacy concerns from organizational and social threats and most of the dimensions of self-disclosure (even if the relationship was weak). There was no difference between patterns of self-disclosure on private versus public accounts. Different privacy concerns may trigger different privacy protection responses and, thus, may interact with self-disclosure differently. Concerns about organizational threats increase awareness and accuracy while reducing amount and depth, while concerns about social threats reduce accuracy and awareness while increasing amount and depth. Keywords: social media, privacy paradox, private vs public, information privacy, self-disclosure

Find me here: share store information through check-in

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chin-Ching Yin ◽  
Yun-Chia Tang ◽  
Yi-Ching Hsieh ◽  
Hung-Chang Chiu ◽  
Shu-Jie Jhu
Keyword(s):  
Structural Equation ◽  
Sales Promotion ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Self Disclosure ◽  
Content Type ◽  
Utilitarian Value ◽  
Perceived Values ◽  
Patronage Intention ◽  
Location Based Social Networks

PurposeThis paper aims to propose several characteristics of check-in services and investigates whether these characteristics influence customer perceived utilitarian and hedonic values. These perceived values mediate the influences of check-in services on customers' responses.Design/methodology/approachFrom the perspective of mobile check-in service, the authors proposed a framework with several hypotheses and verified the model with structural equation modeling based on questionnaire data collected from mobile device users.FindingsThe results indicate that self-disclosure, expressive support and self-congruity positively relate to utilitarian value; instrumental support positively relates to hedonic value and both hedonic and utilitarian values positively relate to continuance intention and re-patronage intention. However, sales promotion has no significant influence on both hedonic and utilitarian check-in values.Originality/valueThis study applies the concept of location-based social networks to provide new insights into the evolving user-generated content research in the interactive marketing field.

AI and privacy concerns: a smart meter case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jillian Carmody ◽  
Samir Shringarpure ◽  
Gerhard Van de Venter
Keyword(s):  
Private Information ◽  
Personal Information ◽  
Consumer Information ◽  
Data Sets ◽  
Smart Meter ◽  
Smart Meters ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Legislation

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

Building trust by signaling trustworthiness in service retail

2014 ◽  
Vol 28 (5) ◽  
pp. 361-373 ◽  
Author(s):  
Husni Kharouf ◽  
Donald J. Lund ◽  
Harjit Sekhon
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Positive Impact ◽  
Past Research ◽  
Customer Relationships ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Content Type ◽  
Survey Responses ◽  
Customer Trust

Purpose – The purpose of this paper is to investigate the role of retailer trustworthiness in driving customer trust and the subsequent impact on loyalty. The authors position trustworthiness as a mediator in the link between retail strategies and the development of trust. They model customer loyalty to the service retailer as a function of the trust created through trustworthy perceptions. Design/methodology/approach – The authors validate their model using 420 survey responses from customers in a service retail setting. Nine research hypotheses were tested using structural equation modeling. Alternate models are estimated, and the results provide support for the theory-based trustworthiness mediation model. Findings – Trustworthy behaviors first build trustworthiness, which then translates into customer trust and ultimately has a positive impact on both behavioral and attitudinal loyalty. Research limitations/implications – The research highlights the importance for retailers to signal their trustworthiness to build customer trust and loyalty. Researchers should measure trustworthiness perceptions when examining customer relationships and managers should plan strategically to develop both trust and trustworthiness with their customers. Originality/value – This study is one of the first to investigate the mediating effect of trustworthiness on customer loyalty in service settings. While past research has investigated dimensions of trustworthy behaviors, none has included a measure of trustworthiness perceptions and consumer trust in the same theoretical model. The results of the research provide important insights for both researchers and managers.

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.

Usage of smartphone for financial transactions: from the consumer privacy perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis ◽  
Zahid Hussain
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Content Type ◽  
Privacy Concerns ◽  
Consumer Privacy ◽  
Novel Approach ◽  
Privacy Calculus ◽  
Financial Transactions

Purpose This study aims to empirically examine how consumer privacy concerns (CPC) impact smartphone usage for financial transactions. The study also investigates the moderating impact of regulations on this action. Design/methodology/approach With the inputs from literature and related privacy theories, a theoretical model was developed. The model was later empirically validated using the partial least squares structural equation modeling technique with 367 respondents from India. Findings The study finds that CPC significantly impacts on consumer behavior in using smartphones for financial transactions. The study also highlights that regulation has a moderating impact on consumer usage of smartphones for financial transactions. Research limitations/implications This study provides valuable inputs to smartphone service providers, practitioners, regulatory authorities and policymakers on appropriate and secure usage of smartphones by consumers, ensuring privacy protection while making financial transactions. Originality/value This study provides a unique model showing the antecedents of CPC to impact the behavioral reaction of smartphone users mediated through the ingredients of privacy calculus theory. Besides, this study analyzes the moderating effects of regulation on the use of smartphones for financial transactions. This is also a novel approach of this study.

scholarly journals Managing consumer privacy concerns and defensive behaviours in the digital marketplace

2020 ◽  
Vol 55 (1) ◽  
pp. 219-246
Author(s):  
Ruwan Bandara ◽  
Mario Fernando ◽  
Shahriar Akter
Keyword(s):  
Information Exchange ◽  
Structural Equation ◽  
Online Survey ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Consumer Privacy ◽  
Defensive Responses ◽  
Defensive Behaviours

Purpose The purpose of this study is to examine privacy issues in the e-commerce context from a power-responsibility equilibrium theory (PRE) perspective. Design/methodology/approach The data was collected using an online survey (n = 335) from online shopping consumers. This study used partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) techniques to empirically examine the proposed relationships. Findings A lack of corporate privacy responsibility and regulatory protection can deprive consumers of privacy empowerment and damage consumer trust to trigger privacy concerns and subsequent defensive responses. Also, the fsQCA revealed five causal configurations to explain high consumer defensive behaviours. Research limitations/implications This study identifies the importance of PRE theory in the privacy context. Consumer privacy concerns, privacy empowerment and trust are established as strong mediators between corporate/regulatory privacy protection efforts and consumer backlash. The application of fsQCA verified that consumer privacy behaviour can be better explained by different configurations of the same causal antecedents. Practical implications The findings highlight the importance of increasing trust and privacy empowerment as mechanisms to manage privacy concerns and consumer backlash through responsible organisational and regulatory privacy protections. The importance of balancing power and responsibility dynamics for maintaining a healthy information exchange environment is identified. Originality/value This study extends the PRE framework of privacy to include corporate privacy responsibility, privacy empowerment and trust. This is one of the first studies to explore both antecedents and outcomes of privacy empowerment. Also, the application of complexity theory and fsQCA to explain consumers’ defensive responses is novel to the literature.

Why people need privacy? The role of privacy fatigue in app users' intention to disclose privacy: based on personality traits

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi
Keyword(s):  
Personality Traits ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Positive Effects ◽  
Novel Concept ◽  
The Impact

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

Sign in / Sign up

Export Citation Format

Share Document