Internet Users' Privacy Concerns and Beliefs About Government Surveillance

Author(s):  
Tamara Dinev ◽  
Massimo Bellotto ◽  
Paul Hart ◽  
Vincenzo Russo ◽  
Ilaria Serra ◽  
...  

The study examines differences in individual’s privacy concerns and beliefs about government surveillance in Italy and the United States. By incorporating aspects of multiple cultural theories, we argue that for both countries, the user’s decision to conduct e-commerce transactions on the Internet is influenced by privacy concerns, perceived need for government surveillance that would secure the Internet environment from fraud, crime and terrorism, and balancing concerns about government intrusion. An empirical model was tested using LISREL structural equation modeling and multigroup analysis. The results support the hypotheses with regard to direction and relative magnitude of the relationships. Italians exhibit lower Internet privacy concerns than individuals in the U.S., lower perceived need for government surveillance, and higher concerns about government intrusion. The relationships among the model constructs are also different across the two countries. Implications of the findings and directions for future work are discussed.

Author(s):  
Kenneth J. Sousa ◽  
Laurie E. MacDonald ◽  
Kenneth T. Fougere

This study examines the possible disconnect between student concerns about privacy when using the Internet and their behavior. The literature indicates that Internet users are concerned about privacy but their web-browsing habits consistently put their privacy at risk. Browsing habits were examined using five factors: (1) privacy concerns, (2) self-efficacy, (3) risk assessment, (4) threat assessment, and (5) privacy involvement. These factors were analyzed for their relationship to privacy behavior. A survey questionnaire was developed and administered to a sample drawn from university students.


2017 ◽  
Vol 6 (12) ◽  
Author(s):  
Rolando Zubirán ◽  
Jesús F. López

Key Words. Electronic commerce, Smart-PLS, structural equations, technology acceptance, diffusion of innovations.Abstract. The following article analyzes the principal factors of electronic commerce that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical actors in the development and growth of electronic transactions. Specifically, variables and latent factors of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). Asummary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 39 valid observations randomly selected from within the Professional Employees Internet Users segment. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS.The study determined that perceived utility, security and compatibility variables were statistically relevant and significant in determining purchase online intent or the development of electronic commerce in the Professional Employees Internet Users Segment.Palabras Clave. Aceptación de la tecnología, comercio electrónico, difusión de lasinnovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los factores del comercio electrónico que han sidoexplorados y estudiados principalmente en mercados desarrollados (EUA) y que han sido confirmados como críticos en el desarrollo y crecimiento de las transacciones electrónicas. En forma específica, los factores o variables latentes en estudio tienen el sustento y la justificación teórica de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes


2018 ◽  
Vol 22 (3) ◽  
pp. 435
Author(s):  
Widarto Rachbini, Iha Haryani Hatta

E-lifestyle behavior towards avoiding internet advertising needs to be known to design an advertisement on the internet, so that the tendency of avoiding internet advertising can be reduced.Therefore, research on e-lifestyle and internet advertising avoidance is needed which aims to find out the influence of each e-lifestyle on Internet advertising avoidance and the behavior of each e-lifestyle towards Internet advertising avoidance activities. The population of this study is Internet users. A sample of 200 Jakarta residents were selected by purposive sampling technique. Data were analyzed using Structural Equation Modeling (SEM). The results obtained after the data were analyzed show that need-driven, interest-driven, entertainment-driven, sociability-driven, and novelty-driven influence the avoidance of Internet advertising. But Importance-driven and concern-driven e-lifestyle have no influence. In addition, entertainment-driven e-lifestyle has the largest factor loading value on average. This indicates that the majority of respondents are entertainment-driven in using the Internet everyday.


2018 ◽  
Vol 14 (3) ◽  
pp. 95-111
Author(s):  
Rahmad Wijaya ◽  
Naili Farida ◽  
Andriyansah

The rapid growth of the internet users in Indonesia poses a challenge to marketers to explore and develop the potential for e-commerce. In this article, consumer trust is expected to encourage customers to make repurchases in online stores. This article aims to build a determinant model of repurchase intention at online stores in Indonesia. This article is based on a survey of Indonesian online store consumers. Respondents were asked to provide responses related to satisfaction, trust, website quality, and repurchase intention. There were 193 final respondents obtained from 300 distributed questionnaires. The model was tested using Structural Equation Modeling (SEM) with AMOS 18. The results revealed the role of the mediating variable of customer satisfaction on repurchase intention. The findings are expected to contribute ideas related to the formation of model reinforce the repurchase intention of online store customers. This implies for website designers to design an online store capable of increasing trust and strengthening the repurchase intention.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nuri Gökhan Torlak ◽  
Ahmet Demir ◽  
Taylan Budur

PurposeThe study uses VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)-structural equation modeling (SEM) to construct benchmarks for service providers and evaluate a multimethodology practice in the Internet industry.Design/methodology/approachThe data were collected using a survey based on an email/interview with 444 Internet users participating. SEM obtained coefficient values by way of customer expectations for Internet service providers. The authors normalized coefficients and integrated them into the VIKOR method for ranking competitors in the Internet industry.FindingsVIKOR-SEM revealed that network and information quality and security/privacy significantly positively impact customer trust while network and information quality and customer trust significantly positively affect Internet users' value perceptions. Customer services do not affect customer trust, while security/privacy and customer services have no significant influence on customer value perceptions. Though customer services and Internet users' trust and value perceptions directly, significantly and positively affect their commitments, the quality of network and information and security/privacy indirectly, significantly and positively influence customer commitments.Research limitations/implicationsThe study was in the Internet industry of Iraq. The results cannot be accurate for the other countries and the service sectors. The researchers/managers can adopt the model in other service sectors to test the multimethodology.Originality/valueVIKOR-SEM evaluated the changes in customer expectations and service providers in the Internet industry.


Author(s):  
Valeria V. Babayan ◽  
Aleksey V. Turobov

What is the connection between Russian citizens' perception of Internet voting and the context of its top down adoption with their readiness to use it? To investigate this question, we use Structural Equation Modeling (SEM) to account for both observed and latent indicators of technology adoption and their linkage with the Internet voting use intent. The authors use survey evidence from VCIOM (2020) and a national survey of Internet users conducted by Online Marketing Intelligence (OMI) company in 2021. This study provides some support to the application of theoretical expectations formulated in the context of Western democracies to the Russian population's voting technology attitudes. The findings indicate that the use of the Internet is not a robust measure of technology acceptance anymore, and a more nuanced approach to the experiences of Internet usage is needed. Internet users appear to be more concerned about privacy, the possibility of fraud, and external interference than the respondents drawn from the overall population. The authors suggest that it is due to acceptance of risks seeming inevitable and to bigger digital literacy and therefore awareness about the risks posed by voting online. Acknowledgments. The authors are grateful to anonymous reviewers for their astute observations and criticism. For their helpful comments, we thank our senior colleagues at HSE University: A. S. Akhremenko, K. L. Marquardt, and M. G. Mironyuk.


2021 ◽  
pp. 1-31
Author(s):  
Sarah E. Lageson ◽  
Elizabeth Webster ◽  
Juan R. Sandoval

Digitization and the release of public records on the Internet have expanded the reach and uses of criminal record data in the United States. This study analyzes the types and volume of personally identifiable data released on the Internet via two hundred public governmental websites for law enforcement, criminal courts, corrections, and criminal record repositories in each state. We find that public disclosures often include information valuable to the personal data economy, including the full name, birthdate, home address, and physical characteristics of arrestees, detainees, and defendants. Using administrative data, we also estimate the volume of data disclosed online. Our findings highlight the mass dissemination of pre-conviction data: every year, over ten million arrests, 4.5 million mug shots, and 14.7 million criminal court proceedings are digitally released at no cost. Post-conviction, approximately 6.5 million current and former prisoners and 12.5 million people with a felony conviction have a record on the Internet. While justified through public records laws, such broad disclosures reveal an imbalance between the “transparency” of data releases that facilitate monitoring of state action and those that facilitate monitoring individual people. The results show how the criminal legal system increasingly distributes Internet privacy violations and community surveillance as part of contemporary punishment.


Author(s):  
Bangaly Kaba

The purpose of this study is to understand the difference between Internet users' continuing use behavior in the context of digital inequality. Data were collected through a survey of Internet users in the Ivory Coast. The structural equation modeling technique was used to test the research hypothesis. This study showed empirically that concern over information and communication technologies (ICT) access as an explanation for digital inequality should be toned down. This research suggests emphasizing alternative factors to explain Internet sustained use intention by underprivileged individuals, including normative beliefs. The results will help internet service providers, governments, and international aid agencies to better understand users' behaviors or reactions to ICT available to them. This understanding provides a foundational platform upon which viable and effective information technology-enabled solutions and policies can be conceptualized and implemented. This study is one of the few that integrate three salient beliefs to differentiate ICT use continuance intention in the context of digital inequality.


2021 ◽  
pp. 089020702110140
Author(s):  
Gabriel Olaru ◽  
Mathias Allemand

The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichang Cho

PurposeMany internet users exhibit signs of privacy helplessness and entirely give up online privacy management. However, we know little about what privacy helplessness is, when users are likely to experience it and its implications for privacy behavior. The objectives of this study were twofold: (a) the conceptual explication of privacy helplessness as a novel construct in privacy research and (b) the development of a theoretical model that specifies the antecedents and consequences of privacy helplessness.Design/methodology/approachA research model of privacy helplessness that contains three subcomponents of privacy helplessness, five antecedents and one outcome was developed. The model was empirically examined based on survey data collected from 589 Facebook users in the USA.FindingsThe results of exploratory and confirmatory factor analyses showed that privacy helplessness is adequately assessed by a three-factor model with affective, cognitive and motivational components. The results of structural equation modeling indicated that these three aspects of privacy helplessness are uniquely predicted by five theoretical factors: (a) prior experience of privacy risks, (b) personal mastery, (c) perceived costs of adaptive privacy actions, (d) perceived rewards of privacy inactions and (e) perceived vulnerability. Furthermore, it was found that helplessness as motivational deficits (and cognitive helplessness via this) impedes adaptive privacy actions, while cognitive helplessness promotes adaptive privacy actions when they do not result in motivational deficits.Originality/valueThis study pioneers investigation in understanding key constituents, attributes and processes underlying privacy helplessness. First, the present study developed the first theory-derived, successively validated measurement model of privacy helplessness. Second, this research proposed a theoretical model of privacy helplessness, specifying antecedents and consequences of privacy helplessness.


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