scholarly journals An Empirical Study on the Influencing Factors of College Students’ Privacy Concern

2021 ◽  
Vol 8 (6) ◽  
pp. 161-166
Author(s):  
Yu Peng ◽  

In recent years, privacy issues have attracted more and more attention. This paper combines existing research and the CFIP scale to construct a model of college students’ concerns about Internet privacy, and validates the model based on data from 445 questionnaires. The results show that perceived privacy risks, privacy control, privacy tendencies, misrepresentation, improper access, and unauthorized secondary use all have a significant impact on privacy concerns, and environmental factors have a more significant impact on privacy concerns. On this basis, relevant suggestions are provided.

Comunicar ◽  
2019 ◽  
Vol 27 (60) ◽  
pp. 61-70
Author(s):  
Yi-Ning Katherine-Chen ◽  
Chia-Ho Ryan-Wen

With the prevalence of smart devices and wireless Internet, privacy has become a pivotal matter in governmental, academic, and technological fields. Our study aims to understand Taiwanese university students’ privacy concerns and protective behaviours in relation to online targeting ads and their habitual smartphone usage. Surveying 810 valid subjects, our results first propose that ad relevance has direct bearing on attention to ads. Second, ad relevance inversely correlates with privacy concerns (i.e. descending personal control and surging corporate power) and protective behaviours (self-filtering and ad evasion). Third and finally, neither privacy concerns nor protective behaviours have a negative bearing on habitual smartphone usage. Opposite to previous research, our study concludes that Taiwanese college students exhibit zero privacy paradox, owing to no signs of privacy concern incited by mobile targeting ads, no evidence of significant protective behaviours, and no decreasing habitual smartphone usage out of privacy concern and protection. Our findings indicate Taiwanese university students’ shaky awareness of potential risks and crises from exposure to vulnerable online privacy management. To deal with this, we suggest educating youths’ understandings of digital jeopardy by experts is urgently needed more so than just technical tutorials of privacy settings. Con la prevalencia de dispositivos inteligentes e Internet inalámbrico, la privacidad se ha convertido en un tema esencial en materias gubernamentales, académicas y tecnológicas. Nuestro estudio se dedica específicamente a entender las preocupaciones de los estudiantes universitarios taiwaneses en privacidad y comportamientos protectores en relación con la publicidad online y el uso habitual de teléfonos inteligentes. Con 810 muestras válidas encuestadas, nuestros resultados revelan que: 1) La relevancia de la publicidad tiene un efecto directo en su atención; 2) Está asociada inversamente a las preocupaciones de privacidad (por ejemplo, control personal descendiente y poder corporativo ascendiente) y comportamientos protectores (evasión de anuncios y autocensura); 3) La preocupación por ña privacidad ni los comportamientos protectores tuvieron efecto negativo en el uso habitual de los smartphones. Nuestro estudio concluye que no hay paradojas de la privacidad halladas en estos jóvenes taiwaneses debido a cambios en su preocupación por la privacidad, generada por la publicidad personalizada en su móvil. Ello evidencia un cambio significativo en los comportamientos protectores. En suma, estos universitarios taiwaneses tienen una débil apreciación de los riesgos potenciales y crisis a los que una vulnerable gestión de la privacidad online les podría exponer. Para abordarlo, una educación que cultive la comprensión de los peligros digitales para los jóvenes es muy recomendable y requiere urgentemente tutoriales técnicos sobre privacidad.


Author(s):  
Yafei Wu ◽  
Ke Hu ◽  
Yaofeng Han ◽  
Qilin Sheng ◽  
Ya Fang

Life expectancy (LE) is a comprehensive and important index for measuring population health. Research on LE and its influencing factors is helpful for health improvement. Previous studies have neither considered the spatial stratified heterogeneity of LE nor explored the interactions between its influencing factors. Our study was based on the latest available LE and social and environmental factors data of 31 provinces in 2010 in China. Descriptive and spatial autocorrelation analyses were performed to explore the spatial characteristics of LE. Furthermore, the Geographical Detector (GeoDetector) technique was used to reveal the impact of social and environmental factors and their interactions on LE as well as their optimal range for the maximum LE level. The results show that there existed obvious spatial stratified heterogeneity of LE, and LE mainly presented two clustering types (high–high and low–low) with positive autocorrelation. The results of GeoDetector showed that the number of college students per 100,000 persons (NOCS) could mainly explained the spatial stratified heterogeneity of LE (Power of Determinant (PD) = 0.89, p < 0.001). With the discretization of social and environmental factors, we found that LE reached the highest level with birth rate, total dependency ratio, number of residents per household and water resource per capita at their minimum range; conversely, LE reached the highest level with consumption level, GDP per capita, number of college students per 100,000 persons, medical care expenditure and urbanization rate at their maximum range. In addition, the interaction of any two factors on LE was stronger than the effect of a single factor. Our study suggests that there existed obvious spatial stratified heterogeneity of LE in China, which could mainly be explained by NOCS.


2021 ◽  
Vol 3 (1) ◽  
pp. 1-15
Author(s):  
Daniel M. Eveleth ◽  
Lori Baker-Eveleth ◽  
Norman M. Pendegraft ◽  
Mark M. Rounds

This research examined the extent to which social-media users' privacy concerns affected the likelihood that they would pay a fee in exchange for a social-media company promising not to use or sell that user's data. Data to empirically test the theoretical model were collected by administering a survey to social-media users. The sample consisted of 173 usable responses. The results of the analyses, including the structural model show that users' knowledge of privacy issues, personal experience with invasions of privacy, and their levels of risk intolerance, influenced the likelihood that they would pay a privacy fee, indirectly, through their concern for privacy. Furthermore, concern for privacy had a significant, positive effect on the magnitude of an expected privacy fee.


Author(s):  
Rachel Jacob ◽  
Devika Rani

With a gigantic growth in internet and application usage, especially with the use of smartphones, ‘privacy' concerns reverberates and dealing with privacy issues from such an arena is a new task for many researchers. This wide usage of mobile application and internet opens up Pandora's box – ‘privacy concerns'. This paper tries to understand the privacy concern hovering among pregnant women. The study found that education, mHealth literacy, mobile app usage, and employment is a robust predictor of HIPC. However, age, social-economic status, maternity benefit scheme membership, pregnancy apps usage, mobile spending, mobile basic services usage does not play a significant role in HIPC. Overall, the results suggest that as users' awareness level on privacy policies and issues increase, privacy concern decreases.


2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Jian Chen ◽  
Da Xue ◽  
Chun Ke ◽  
Weibin Lin ◽  
Jianxuan Wu ◽  
...  

Author(s):  
Gaurav Bansal ◽  
Merrill Warkentin

Recently, data breaches, especially insider data breaches, have become increasingly common. However, there is a limited amount of research on the factors associated with the decrease in users' trust in response to these events. In this study, social role theory and socioemotional selectivity theory are applied to understand the role of age (younger and older), biological (male and female) and cultural (masculinity and femininity) gender, and the four dimensions of privacy concern-collection, secondary use, unauthorized access, and error-on initial trust and the corresponding decrease in trust associated with the three trust beliefs of ability, benevolence, and integrity. A scenario-based approach is used to focus on a case study of an insider breach. The findings also provide helpful insights into the comparative roles of trust builders (e.g., reputation and design) and trust crashers (e.g., privacy concerns) in the process of trust building and trust decrease in different demographics (e.g., older and younger, males and females) for overall trust and trusting beliefs. Theoretical, managerial, and social implications are discussed.


Internet of things (IoT) is earning a significant role in the health care domain. Though the growing benefits to improve the health process and services and the large use of the Wearable Internet of Things (WIoT) devices, the patient’s privacy issue remains a big concern. While IoT devices and its applications are more exposed to privacy risks, there is a need for a stick and strict guidelines and solutions to assist and solve this issue and minimize these risks. The aim of this paper is to survey the end-user concerns of the privacy issues related to WIoT then we review conducted on current solutions that are worked toward preserving privacy in the healthcare domain, and finally, we state our solution. This paper aims to survey end users’ privacy and security concerns and issues related to WIoT.


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