scholarly journals Do privacy concerns determine online information disclosure? The case of internet addiction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nik Thompson ◽  
Atif Ahmad ◽  
Sean Maynard
Keyword(s):  
Internet Addiction ◽  
Information Disclosure ◽  
Structural Equation ◽  
Cost Benefit ◽  
Online Information ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus ◽  
The Impact

Purpose It is a widely held belief that users make a rational cost-benefit decision when choosing whether to disclose information online. Yet, in the privacy context, the evidence is far from conclusive suggesting that strong and as-yet unmeasured influences on behaviour may exist. This paper aims to demonstrate one such link – the effect of internet addiction on information disclosure. Design/methodology/approach Data from 216 Web users was collected regarding their perceptions on privacy and information disclosure intentions as well as avoidance behaviour, an element of internet addiction. Using a research model based on the Privacy Calculus theory, structural equation modelling was applied to quantify the determinants of online disclosure under various conditions. Findings The authors show that not all aspects of privacy (a multi-dimensional construct) influence information disclosure. While concerns about data collection influence self-disclosure behaviour, the level of awareness about privacy does not. They next examine the impact of internet addiction on these relationships, finding that internet addiction weakens the influence of privacy concerns to the point of non-significance. Originality/value The authors highlight some of the influences of self-disclosure behaviour, showing that some but not all aspects of privacy are influential. They also demonstrate that there are powerful influences on user behaviour that have not been accounted for in prior work; internet addiction is one of these factors. This provides some of the first evidence of the potentially deleterious effect of internet addiction on the privacy calculus.

Online Social Networks: Why We Disclose

2010 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Hanna Krasnova ◽  
Sarah Spiekermann ◽  
Ksenia Koroleva ◽  
Thomas Hildebrand
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Information Disclosure ◽  
Structural Equation ◽  
Personal Information ◽  
Equation Model ◽  
Self Disclosure ◽  
Network Provider ◽  
Privacy Calculus ◽  
Privacy Risks

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.

Determinants of the online purchase intention: hedonic motivations, prices, information and trust

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Espírito Santo ◽  
Alzira Maria Ascensão Marques
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Shopping ◽  
Structural Model ◽  
Easy Access ◽  
Online Information ◽  
Access To Information ◽  
Content Type ◽  
Online Purchase ◽  
The Impact

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.

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.

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.

Toward the dialectical evaluation of online information: the roles of personality, self-efficacy and attitude

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamid Keshavarz ◽  
Amir Vafaeian ◽  
Ali Shabani
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
User Behavior ◽  
Pearson Correlation ◽  
Equation Modeling ◽  
Online Information ◽  
Information Evaluation ◽  
Content Type ◽  
Postgraduate Students ◽  
The Impact

PurposeUser behavior in online information evaluation is the result of a multitude of factors related to social, cultural, personal and psychological issues. The present study aimed to examine the effects of three important psychological variables including personality, self-efficacy and attitude on online information evaluation.Design/methodology/approachFour validated measures were administrated in person and online among 355 postgraduate students at Shahed University, Tehran, Iran. For testing the possible relationships among the variables, the reliability, normality and Pearson correlation tests were performed by using SPSS 24.0. Moreover, to test the ten hypotheses of the research, the structural equation modeling was considered using AMOS 26.0.FindingsThe findings confirmed the first five research hypotheses indicating the direct positive relationships among the four variables except for the impact of self-efficacy on attitude. The mediated effects of the variables were not supported except for the mediating role of attitude in the impact of personality on online evaluation behavior. The variable personality was found to be fundamental among the tested paths because it influenced the information evaluation behavior, both directly and indirectly.Originality/valueThe study showed the impacts of the three variables, which demonstrates that online information evaluation is greatly affected by psychological factors.

Increasing consumers’ intention to use location-based advertising

2018 ◽  
Vol 27 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Michael Schade ◽  
Rico Piehler ◽  
Claudius Warwitz ◽  
Christoph Burmann
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Sociodemographic Factors ◽  
Equation Modeling ◽  
Intention To Use ◽  
Brand Trust ◽  
Cross Sectional ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus

Purpose This study aims to investigate the influence of advertising value and privacy concerns on consumers’ intention to use location-based advertising. It also explores if brand trust toward location-based advertising providers and consumers’ privacy self-efficacy reduce privacy concerns. Design/methodology/approach Based on the privacy calculus and expectancy theory, a conceptual model is developed and empirically tested through structural equation modeling using cross-sectional data of 1,121 actual smartphone users from Germany. Findings Advertising value positively and privacy concerns negatively affect consumers’ intention to use location-based advertising. As expected, brand trust and consumers’ privacy self-efficacy can reduce consumers’ privacy concerns. Research limitations/implications Further research should test and validate the proposed framework in other cultures to gain insights into the culturally specific relevance of privacy concerns and their antecedents. The current study includes sociodemographics as potential moderators; additional studies could investigate other potential moderators (e.g. personality, values). Practical implications To reduce consumers’ privacy concerns, location-based advertising providers should make their offers transparent and give consumers control, to increase their privacy self-efficacy. They also should work to strengthen their brand, monitor brand trust trends and avoid any trust-damaging behavior. Originality/value This study introduces brand trust toward location-based advertising providers and privacy self-efficacy as factors to reduce consumers’ privacy concerns. It also encompasses a broader, general sample of consumers, which increases the generalizability and practical relevance of the results and supports an initial investigation of sociodemographic factors as potential moderators in this context.

Impact of privacy, trust and user activity on intentions to share Facebook photos

2016 ◽  
Vol 14 (4) ◽  
pp. 364-382 ◽  
Author(s):  
Aqdas Malik ◽  
Kari Hiekkanen ◽  
Amandeep Dhir ◽  
Marko Nieminen
Keyword(s):  
Social Networking Sites ◽  
Research Model ◽  
User Privacy ◽  
Cross Sectional ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Photo Sharing ◽  
The Impact ◽  
Privacy Issues

Purpose The popularity of Facebook photo sharing has not only seen a surge in the number of photos shared but also has raised various issues concerning user privacy and self-disclosure. Recent literature has documented the increasing interest of the research community in understanding various privacy issues concerning self-disclosures on Facebook. However, little is known about how different privacy issues, trust and activity influence users’ intentions to share photos on Facebook. To bridge this gap, a research model was developed and tested to better understand the impact of privacy concerns, privacy awareness and privacy-seeking on trust and actual photo sharing activity and subsequently on photo sharing intentions. This study aims to examine the consequences of various facets of privacy associated with photo sharing activity on Facebook. Design/methodology/approach A cross-sectional data from 378 respondents were collected and analysed using partial least squares modelling. Findings The results revealed a significant relationship between various aspects of privacy, including awareness and protective behaviour, with trust and activity. Furthermore, trust and users’ photo sharing activity significantly impact photo sharing intentions on Facebook. Originality/value This study contributes new knowledge concerning various privacy issues and their impact on photo sharing activity and trust. The study also proposes implications that are highly relevant for social networking sites, media agencies and organisations involved in safeguarding the privacy of online users.

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.

Users' affect and satisfaction in a privacy calculus context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad S. Najjar ◽  
Laila Dahabiyeh ◽  
Raed Salah Algharabat
Keyword(s):  
Mobile Device ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Mobile App ◽  
Perceived Benefits ◽  
Content Type ◽  
Perceived Risks ◽  
Privacy Calculus ◽  
The Impact

PurposeMobile device users are frequently faced with a decision to allow access to their personal information that resides on their devices in order to install mobile applications (apps) and use their features. This paper examines the impact of satisfaction on the intention to allow access to personal information. The paper achieves this by acknowledging the affective and cognitive components of satisfaction derived from affect heuristic and privacy calculus theories, respectively.Design/methodology/approachSurvey data was collected from mobile device users who download and install mobile apps on their devices. Overall, 489 responses were collected and analyzed using LISREL 8.80.FindingsThe findings suggest that personal information disclosure decision is mainly a matter of being satisfied with the mobile app or not. We show that perceived benefits are more critical than perceived risks in determining satisfaction, and that perceived benefits influence intention to allow access to personal information indirectly through satisfaction.Originality/valueThis study offers a more nuanced analysis of the influence of satisfaction by examining the role of its two components: the cognitive (represented in perceived benefits and perceived risks) and the affective (represented in affect). We show that information disclosure decision is a complicated process that combines both rational and emotional elements.

Does role conflict influence discontinuous usage intentions? Privacy concerns, social media fatigue and self-esteem

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojun Fan ◽  
Xinyu Jiang ◽  
Nianqi Deng ◽  
Xuebing Dong ◽  
Yangxi Lin
Keyword(s):  
Social Media ◽  
Role Conflict ◽  
Structural Equation ◽  
Online Survey ◽  
Self Esteem ◽  
Three Dimensions ◽  
Hierarchical Regression ◽  
Content Type ◽  
Privacy Concerns ◽  
The Impact

PurposeUsing WeChat moments as an example, this article explores the impact of user role conflict on privacy concerns, social media fatigue and the three dimensions of discontinuous usage intention: control activities, short breaks and suspend usage intentions. Moreover, the moderating function of self-esteem in this process is examined.Design/methodology/approachThe conceptual model includes role conflict, privacy concerns, social media fatigue, discontinuous usage intention and self-esteem. Three hundred and thirty-one questionnaires were collected using an online survey, and the data were analyzed with structural equation and hierarchical regression modeling.FindingsThe results show that (1) role conflict positively affects privacy concerns and social media fatigue; (2) privacy concerns also positively affect social media fatigue; (3) privacy concerns positively affect control activities intentions, although their impact on short breaks and suspend usage intentions is not significant, whereas social media fatigue significantly influences control activities, short breaks and suspend usage intentions; and (4) self-esteem negatively moderates the influence of role conflict on privacy concerns.Research limitations/implicationsA key limitation of this research is that it is designed for WeChat. Therefore, the question of whether other social media platforms face role conflict or discontinuous usage problems should be explored in the future.Originality/valueThe article is interesting in that it focuses on the discontinuous usage of social media and identifies factors that contribute to the discontinuous usage of social media. The findings make some theoretical contributions to, and have practical implications for, research into social media usage.

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