scholarly journals Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce

2019 ◽  
Vol 11 (12) ◽  
pp. 3311 ◽  
Author(s):  
Yuan Sun ◽  
Shuyue Fang ◽  
Yujong Hwang
Keyword(s):  
Information Disclosure ◽  
Current Trend ◽  
Perceived Benefits ◽  
Privacy Concern ◽  
Privacy Concerns ◽  
Group Buying ◽  
Internet Users ◽  
Privacy Calculus ◽  
Negative Impacts ◽  
A Current

Social e-commerce has steadily emerged as a current trend for an enormous amount of Internet users. Despite the popularity and prevalence of social e-commerce, many users hesitate to disclose their information due to privacy concerns. This resistance from users impedes the development of social e-commerce enterprises. In order to help enterprises collect more user information and establish better development strategies, this research builds on the Privacy Antecedent-Privacy Concern-Outcomes (APCO) model and the theory of privacy calculus. This research investigates how the privacy antecedents of hot topic interactivity and group buying experience influence users’ privacy concerns and perceived benefits as well as how to further influence users’ information disclosure behavior. The results from 406 questionnaire responses indicate that hot topic interactivity and group buying experience have significant negative impacts on privacy concerns and significant positive impacts on perceived benefits. Privacy concerns negatively influence the behavior of information disclosure while perceived benefits positively influence the behavior of information disclosure. Based on these results, social e-commerce enterprises should promote users’ behaviors of hot topic interactivity and group buying to stimulate users’ information disclosure behavior.

Privacy Concern of Health Information Disclosure in mHealth: The Moderate Effect of Social Support (Preprint)

2020 ◽  
Author(s):  
Yuanyuan Dang ◽  
Shanshan Guo ◽  
Xitong Guo
Keyword(s):  
Social Support ◽  
Health Information ◽  
Emotional Support ◽  
Information Disclosure ◽  
Perceived Health ◽  
Privacy Concern ◽  
Informational Support ◽  
Privacy Concerns ◽  
Information Sensitivity ◽  
Moderate Effect

BACKGROUND The mobile health (mHealth) provides a new opportunity for patients’ disease prediction and health self-management. At the same time, privacy problems in mHealth have brought forth significant attention concerning patients' online health information disclosure and hindered mHealth development. OBJECTIVE Privacy calculus theory (PCT) has been widely used to understand personal information disclosure behaviors with the basic assumption of a national and linear decision-making process. However, people’s cognitive behavior processes are complex and mutual. In attempting to close this knowledge gap, we further optimize the information disclosure model of patients based on PCT by identifying the mutual relationship between costs (privacy concerns) and benefits. Social support, which has been proved to be a distinct and significant disclosure benefit of mHealth, was chosen to be the representative benefit of information disclosure in mHealth. METHODS From an individual perspective, a structural equation model with privacy concerns, health information disclosure intention in mHealth, and social support from mHealth has been examined. RESULTS 253 randomly selected participants provided validated questionnaire. The result indicated that perceived health information sensitivity positively enhances the privacy concern (0.505, p<0.01), and higher privacy concern levels will decrease the health information disclosure intention (-0.338, p<0.01). Various aspects of individual characters influence perceived health information sensitivity in different ways. The informational support has a negatively moderate on reduce the positive effect between perceived health information sensitivity and privacy concerns (-0.171, p<0.1) and will decrease the negative effect between privacy concerns and health information disclosure intention(-0.105, p<0.1). However, emotional support has no directly moderate effect on both privacy concerns and health information disclosure intention. CONCLUSIONS The results indicate that social support can be regarded as a disutility reducer, that is, on the one hand, it reduces the privacy concerns of patients; on the other hand, it also reduces the negative impact of privacy concerns on information disclosure intention. Moreover, the moderate effect of social support is partially supported. Informational support, one demission of social support, is significant, while the other demission, emotional support, is not significant in mHealth. Furthermore, the results are different among patients with different individual characteristics. This study also provides specific theoretical and practical implications to enhance the development of mHealth.

Extended model of online privacy concern: what drives consumers’ decisions?

2019 ◽  
Vol 43 (5) ◽  
pp. 799-817 ◽  
Author(s):  
Ivan-Damir Anic ◽  
Jelena Budak ◽  
Edo Rajh ◽  
Vedran Recher ◽  
Vatroslav Skare ◽  
...  
Keyword(s):  
New Technologies ◽  
Experimental Studies ◽  
Individual Characteristics ◽  
Online Privacy ◽  
The Internet ◽  
Extended Model ◽  
Perceived Benefits ◽  
Privacy Concern ◽  
Content Type ◽  
Internet Users

Purpose The purpose of this paper is to investigate the relationship between individual and societal determinants of online privacy concern (OPC) and behavioral intention of internet users. The study also aims to assess the degree of reciprocity between consumers’ perceived benefits of using the internet and their OPC in the context of their decision-making process in the online environment. Design/methodology/approach The study proposes comprehensive model for analysis of antecedents and consequences of OPC. Empirical analysis is performed using the PLS–SEM approach on a representative sample of 2,060 internet users. Findings The findings show that computer anxiety and perceived quality of regulatory framework are significant antecedents of OPC, while traditional values and inclinations toward security, family and social order; and social trust are not. Furthermore, the study reveals that perceived benefits of using the internet are the predominant factor explaining the intention to share personal information and adopt new technologies, while OPC dominates in explanation of protective behavior. Research limitations/implications Although the authors tested an extended model, there might be other individual characteristics driving the level of OPC. This research covers just one country and further replications should be conducted to confirm findings in diverse socio-economic contexts. It is impossible to capture the real behavior with survey data, and experimental studies may be needed to verify the research model. Practical implications Managers should work toward maximizing perceived benefits of consumers’ online interaction with the company, while at the same time being transparent about the gathered data and their intended purpose. Considering the latter, companies should clearly communicate their compliance with the emerging new data protection regulation. Originality/value New extended model is developed and empirically tested, consolidating current different streams of research into one conceptual model.

scholarly journals CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Hongchen Wu ◽  
Huaxiang Zhang ◽  
Lizhen Cui ◽  
Xinjun Wang
Keyword(s):  
Information Disclosure ◽  
Management Strategies ◽  
Mobile User ◽  
High Rate ◽  
Privacy Concern ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Individual Privacy ◽  
Computing Paradigm ◽  
User Data

For several reasons, the cloud computing paradigm, e.g., mobile edge computing (MEC), is suffering from the problem of privacy issues. MEC servers provide personalization services to mobile users for better QoE qualities, but the ongoing migrated data from the source edge server to the destination edge server cause users to have privacy concerns and unwillingness of self-disclosure, which further leads to a sparsity problem. As a result, personalization services ignore valuable user profiles across edges where users have accounts in and tend to predict users’ potential purchases with insufficient sources, thereby limiting further improvement of QoE through personalization of the contents. This paper proposes a novel model, called CEPTM, which (1) collects mobile user data across multiple MEC edge servers, (2) improves the users’ experience in personalization services by loading collected diverse data, and (3) lowers their privacy concern with the improved personalization. This model also reveals that famous topics in one edge server can migrate into several other edge servers with users’ favorite content tags and that the diverse types of items could increase the possibility of users accepting the personalization service. In the experiment section, we use exploratory factor analysis to mathematically evaluate the correlations among those factors that influence users’ information disclosure in the MEC network, and the results indicate that CEPTM (1) achieves a high rate of personalization acceptance due to the availability of more data as input and highly diverse personalization as output and (2) gains the users’ trust because it collects user data while respecting individual privacy concerns and providing better personalization. It outperforms a traditional personalization service that runs on a single-edge server. This paper provides new insights into MEC diverse personalization services and privacy problems, and researchers and personalization providers can apply this model to merge popular users’ like trends throughout the MEC edge servers and generate better data management strategies.

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.

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.

scholarly journals How Do Like and Dislike Buttons Affect Communication? Testing the Privacy Calculus in a Preregistered One-Week Field Experiment

2020 ◽  
Author(s):  
Tobias Dienlin ◽  
Katharina Bräunlich ◽  
Sabine Trepte
Keyword(s):  
Field Experiment ◽  
Self Efficacy ◽  
Actual Behavior ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Final Sample ◽  
Self Reports ◽  
Privacy Calculus ◽  
The Impact ◽  
A Current

According to the privacy calculus, both privacy concerns and expected gratifications explain self-disclosure online. So far, however, most findings were based on self-reports, and little is known about whether the privacy calculus can be used to explain observations of actual behavior. Likewise, we still know little as to whether the privacy calculus is influenced by the design of online websites, including for example popularity cues such as like and dislike buttons. To answer these questions, we ran a preregistered one-week field experiment. Participants were randomly distributed to three different websites, on which they discussed a current political topic. The websites featured either (a) like buttons, (b) like and dislike button, or (c) no like/dislike buttons, and were otherwise identical. The final sample consisted of 590 participants. Although the originally preregistered model was rejected, the results showed that a considerable share of actual self-disclosure could be explained by privacy concerns, gratifications, privacy deliberation, trust, and self-efficacy. The impact of the popularity cues on self-disclosure and the privacy calculus was negligible.

The willingness to disclose personal information

2019 ◽  
Vol 28 (2) ◽  
pp. 161-181 ◽  
Author(s):  
Ibrahim M. Al-Jabri ◽  
Mustafa I. Eid ◽  
Amer Abed
Keyword(s):  
Saudi Arabia ◽  
Information Disclosure ◽  
Personal Information ◽  
Negative Relationship ◽  
Extensive Literature ◽  
Privacy Concern ◽  
Content Type ◽  
Privacy Concerns ◽  
Positive Effects ◽  
Willingness To Disclose

Purpose Customer privacy and security are major concerns. Online firms worldwide collect customer data for various reasons. This study aims to investigate factors that motivate and hinder a customer’s willingness to disclose personal information (WTD) to online firms on e-commerce websites. Design/methodology/approach Based on an extensive literature review, three sets of factors have been identified. These sets of factors are privacy concern, perceived disclosure benefits and privacy assurances. It is hypothesized that privacy concerns negatively affect the disclosure of personal information, while the perceived benefits of disclosure have positive effects. Privacy assurances would positively affect information disclosure and attenuate the negative effect of privacy concerns on the disclosure of personal information. The authors gathered data from 253 online customers in Saudi Arabia. Findings The results indicate that perceived disclosure benefits and privacy concerns have a significant positive and negative relationship, respectively, with WTD online. Privacy assurances had neither a direct nor a moderating effect on information disclosure. Research limitations/implications The findings will inform online firms about the factors that prevent or motivate customers to disclose personal information. Originality/value The effect of privacy concerns and benefits on personal information disclosure are not fully understood in Saudi Arabia. This study reveals more insights into the specific factors that make online customers reluctant or motivated to disclose their personal information.

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 Privacy cynicism: A new approach to the privacy paradox

2016 ◽  
Vol 10 (4) ◽  
Author(s):  
Christian Pieter Hoffmann ◽  
Christoph Lutz ◽  
Giulia Ranzini
Keyword(s):  
Qualitative Data ◽  
Coping Mechanism ◽  
Risk Awareness ◽  
New Approach ◽  
Privacy Concerns ◽  
Privacy Threats ◽  
Internet Users ◽  
Privacy Calculus ◽  
Privacy Paradox ◽  
And Behavior

Privacy concerns among Internet users are consistently found to be high. At the same time, these concerns do not appear to generate a corresponding wave of privacy protection behavior. A number of studies have addressed the apparent divergence between users’ privacy concerns and behavior, with results varying according to context. Previous research has examined user trust, lack of risk awareness and the privacy calculus as potential solutions to the “privacy paradox”. Complementing these perspectives, we propose that some users faced with seemingly overwhelming privacy threats develop an attitude of “privacy cynicism”, leading to a resigned neglect of protection behavior. Privacy cynicism serves as a cognitive coping mechanism, allowing users to rationalize taking advantage of online services despite serious privacy concerns. We conduct an interdisciplinary literature review to define the core concept, then empirically substantiate it based on qualitative data collected among German Internet users.

scholarly journals Bio-Derived Catalysts: A Current Trend of Catalysts Used in Biodiesel Production

Catalysts ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 812
Author(s):  
Hoang Chinh Nguyen ◽  
My-Linh Nguyen ◽  
Chia-Hung Su ◽  
Hwai Chyuan Ong ◽  
Horng-Yi Juan ◽  
...  
Keyword(s):  
Catalytic Activity ◽  
Fossil Fuels ◽  
Current Trend ◽  
Biodiesel Production ◽  
High Catalytic Activity ◽  
Promising Alternative ◽  
Advantages And Disadvantages ◽  
Biodiesel Synthesis ◽  
Alkali Catalysts ◽  
A Current

Biodiesel is a promising alternative to fossil fuels and mainly produced from oils/fat through the (trans)esterification process. To enhance the reaction efficiency and simplify the production process, various catalysts have been introduced for biodiesel synthesis. Recently, the use of bio-derived catalysts has attracted more interest due to their high catalytic activity and ecofriendly properties. These catalysts include alkali catalysts, acid catalysts, and enzymes (biocatalysts), which are (bio)synthesized from various natural sources. This review summarizes the latest findings on these bio-derived catalysts, as well as their source and catalytic activity. The advantages and disadvantages of these catalysts are also discussed. These bio-based catalysts show a promising future and can be further used as a renewable catalyst for sustainable biodiesel production.

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