Antecedents of privacy concern: the examination of “self” and “others” on Facebook

2021 ◽  
pp. 1-13
Author(s):  
Danielle Ka Lai Lee ◽  
Xizhu Xiao ◽  
Porismita Borah
Keyword(s):  
Privacy Concern

Privacy Concern Code Generation Using Crypto Neural Scheme

2019 ◽  
Vol 7 (5) ◽  
pp. 824-828
Author(s):  
Anaswara Venunadh ◽  
Shruthi N ◽  
Mannar Mannan
Keyword(s):  
Code Generation ◽  
Privacy Concern

Exploring the Influences of Service Characteristics on Individuals’Use Intention of Mobile Health Services (Preprint)

2020 ◽  
Author(s):  
Fei Liu ◽  
Pengkun Wu ◽  
Xitong Guo
Keyword(s):  
Personal Information ◽  
New Technology ◽  
Information Service ◽  
Health Care Research ◽  
Privacy Concern ◽  
Service Adoption ◽  
Service Characteristics ◽  
Research Areas ◽  
New Information ◽  
The Relationship

BACKGROUND Service characteristic factors are verified as the determinants for influencing people’s use intention of mHealth. Exploration of the interactions among the service characteristics of users can play an important role in improving service adoption rate. mHealth service appears to be an emerging new technology that presents a new pattern of healthcare service; however, users have concerns that their personal information might be disclosed and used without permission. This concern hinders people’s adoption behavior of mHealth services. OBJECTIVE The objective of this study is to explore how service characteristics (service relevance and service accuracy) interact to influence individuals’ use intention of mHealth services. This study also investigates the moderating roles of innovativeness and privacy concern. METHODS To meet these objectives, six hypotheses thus developed were empirically validated using a survey to test the effects of service characteristics and personal traits on use intention of mHealth. RESULTS We confirm that service relevance and service accuracy positively and directly influence individuals’ use intention of mHealth services. In addition, innovativeness positively affects the relationship between service relevance and use intention. Privacy concern negatively influences the relationship between service relevance and use intention, but positively influences the relationship between service accuracy and use intention. CONCLUSIONS The present study provides new insights into the influencing factors of individuals’ usage behaviour toward mHealth services. Such insight could provide further understanding of how individuals adopt new information service or technologies, which contribute to both information system and health care research areas in a very promising way.

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.

Understanding the mobile payment technology acceptance based on valence theory

2017 ◽  
Vol 29 (8) ◽  
pp. 2027-2049 ◽  
Author(s):  
Ahmet Bulent Ozturk ◽  
Anil Bilgihan ◽  
Saba Salehi-Esfahani ◽  
Nan Hua
Keyword(s):  
Technology Acceptance ◽  
Individual Difference ◽  
Positive Impact ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Privacy Concern ◽  
Content Type ◽  
Utilitarian Value ◽  
Valence Theory ◽  
Practical Implications

Purpose This study aims to examine factors affecting restaurant customers’ intention to use near field communication (NFC)-based mobile payment (MP) technology. More specifically, based on the valence theory, this paper examined the impacts of users’ negative valence (perceived risk and privacy concern) and positive valence (utilitarian value and convenience) perceptions toward their NFC-MP technology acceptance. Furthermore, the impacts of individual difference variables (smartphone affinity and compatibility) on users’ negative and positive valences and on their behavioral intentions were analyzed. Design/methodology/approach A self-administered online questionnaire was used to collect the data of the study from 412 restaurant customers. A confirmatory factor analysis (CFA) was used to validate the measurement model. To test the hypothesized model, structural equation modeling (SEM) was used. Findings The study findings demonstrated that privacy concern, utilitarian value and convenience significantly affected individuals’ NFC-MP technology acceptance. In addition, compatibility significantly influenced negative and positive valance constructs and smartphone affinity had a positive impact on positive valance constructs only. Practical implications This study provides valuable practical implications for restaurant operators and hospitality technology vendors in the context of mobile payment systems. Originality/value This study successfully extended the valence framework by adding individual difference constructs to it.

scholarly journals Towards Self-Awareness Privacy Protection for Internet of Things Data Collection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kok-Seng Wong ◽  
Myung Ho Kim
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Data ◽  
Self Awareness ◽  
Privacy Concern ◽  
Goods And Services ◽  
Data Collector ◽  
Inaccurate Data ◽  
Secure Protocol ◽  
The Internet Of Things

The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enforces the secure protocol that cannot be verified by the data owners. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness data collection protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. The communication (respondents and data collector) and collaboration (among respondents) in our solution will be performed automatically.

The Influence of Digital Literacy on Privacy Concern

2019 ◽  
Vol 30 (2) ◽  
pp. 257-284
Author(s):  
Si-jeoung Kim ◽  
Sang Ok Choi
Keyword(s):  
Digital Literacy ◽  
Privacy Concern

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.

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