Identifying Key Factors Affecting Information Disclosure Intention in Online Shopping

Wang, Zhiqiang; Liu, Yanjun

doi:10.14257/ijsh.2014.8.4.05

Cited by 11 publications

(10 citation statements)

References 35 publications

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“…Second, the results have revealed that social interaction has a positive influence on the depth and breadth of self-disclosure of information via MIM apps, while social influence does not. This finding is inconsistent with the results of previous studies which have found that social influence has a significant impact on information disclosure within different context, such as SNS (Shibchurn and Yan, 2015) and online shopping environment (Wang and Liu, 2014). One possible explanation of our result is that users are motivated to disclose intimate information and discuss various topics in an effort to maintain and extend their relationships with other MIM apps users, while the pressure from other users has no a significant influence on their decision to disclose information.…”

contrasting

confidence: 99%

Information self-disclosure on mobile instant messaging applications

Mouakket

2019

JEIM

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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.

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confidence: 99%

Information self-disclosure on mobile instant messaging applications

Mouakket

2019

JEIM

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“…Notably, people in an individualist society were more likely to consider benefits when disclosing information—compared to those in inclusive collectivist and high power-distance cultures. Z. Wang and Liu (2014), identified the social influence of friends, family, and colleagues as a significant factor in directing people to disclose personal information.…”

Section: Literature Reviewmentioning

confidence: 99%

A Willingness to Disclose Personal Information for Monetary Reward: A Study of Fitness Tracker Users in Thailand

Phonthanukitithaworn

Sellitto

2022

Sage Open

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The paper investigates a person’s willingness to reveal personal information for a monetary reward using a model that includes factors reflecting trust belief, risk belief, information type, subjective norm, and privacy concerns. A survey of fitness-tracker users ( N = 504) using a convenience sampling approach allowed data to be collected. Data analysis used a measurement model to assess construct reliability and validity, with structural equation modeling (SEM) used to test the model’s hypotheses. Findings highlight the direct effect of information type and subjective norm as factors that influence privacy. Trust and risk belief associated with information disclosure did not affect privacy concerns nor the willingness to disclose for monetary reward. Subjective norm was the only factor associated with people’s willingness to disclose information for monetary reward—highlighting the influence of peer groups and culture on the disclosure process. Notably, subjective norm as a factor that influences information disclosure is seldom reported. The paper contributes to further understanding of factors that influence personal information disclosure when people are offered a monetary incentive. Practical implications include how a reasonable monetary reward can potentially influence disclosure and that leveraging social networks when requesting information may enhance disclosure. Theoretical implications highlight that the modeling of commonly measured risk and trust factors may not hold in certain situations.

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“…While there exist a number of studies to measure privacy attitudes and behaviors in online interactions, [1], [27], [30], we wanted to get a sense of privacy attitudes in both online and offline behaviors. Therefore we use the Westin's [32,33,34,35,36,37,38] studies to gain a holistic understanding of privacy concerns exhibited by individuals'.…”

Section: Related Workmentioning

confidence: 99%

Predicting Privacy Attitudes Using Phone Metadata

Ghosh

Singh

2016

Lecture Notes in Computer Science

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With the increasing usage of smartphones, there is a corresponding increase in the phone metadata generated by individuals using these devices. Managing the privacy of personal information on these devices can be a complex task. Recent research has suggested the use of social and behavioral data for automatically recommending privacy settings. This paper is the first effort to connect users' phone use metadata with their privacy attitudes. Based on a 10-week long field study involving phone metadata collection via an app, and a survey on privacy attitudes, we report that an analysis of cell phone metadata may reveal vital clues to a person's privacy attitudes. Specifically, a predictive model based on phone usage metadata significantly outperforms a comparable personality features-based model in predicting individual privacy attitudes. The results motivate a newer direction of automatically inferring a user's privacy attitudes by looking at their phone usage characteristics.

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Identifying Key Factors Affecting Information Disclosure Intention in Online Shopping

Abstract: Abstracts

Cited by 11 publications

References 35 publications

Information self-disclosure on mobile instant messaging applications

Information self-disclosure on mobile instant messaging applications

A Willingness to Disclose Personal Information for Monetary Reward: A Study of Fitness Tracker Users in Thailand

Predicting Privacy Attitudes Using Phone Metadata

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