scholarly journals What Drives Authorization in Mobile Applications? A Perspective of Privacy Boundary Management

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 311
Author(s):  
Jie Tang ◽  
Bin Zhang ◽  
Umair Akram
Keyword(s):  
Risk Perceptions ◽  
Government Regulation ◽  
Personal Information ◽  
Mobile Apps ◽  
Boundary Management ◽  
Privacy Concerns ◽  
Information Relevance ◽  
Proposed Model ◽  
Regulatory Bodies ◽  
Pls Analysis

Personal information has been likened to “golden data”, which companies have chased using every means possible. Via mobile apps, the incidents of compulsory authorization and excessive data collection have evoked privacy concerns and strong repercussions among app users. This manuscript proposes a privacy boundary management model, which elaborates how such users can demarcate and regulate their privacy boundaries. The survey data came from 453 users who authorized certain operations through mobile apps. The partial least squares (PLS) analysis method was used to validate the instrument and the proposed model. Results indicate that information relevance and transparency play a significant role in shaping app users’ control–risk perceptions, while government regulation is more effective than industry self-discipline in promoting the formation of privacy boundaries. Unsurprisingly, privacy risk control perceptions significantly affect users’ privacy concerns and trust beliefs, which are two vital factors that ultimately influence their willingness to authorize. The implications of conducting a thorough inquiry into app users’ willingness to authorize their privacy information are far-reaching. In relation to this, app vendors should probe into the privacy-relevant beliefs of their users and enact effective privacy practices to intercept the economic and reputational damages induced by improper information collection. More significantly, a comprehensive understanding of users’ willingness to authorize their information can serve as an essential reference for relevant regulatory bodies to formulate reasonable privacy protection policies in the future.

Why people need privacy? The role of privacy fatigue in app users' intention to disclose privacy: based on personality traits

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi
Keyword(s):  
Personality Traits ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Positive Effects ◽  
Novel Concept ◽  
The Impact

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

Modeling guests’ intentions to use mobile apps in hotels

2016 ◽  
Vol 28 (9) ◽  
pp. 1968-1991 ◽  
Author(s):  
Cristian Morosan ◽  
Agnes DeFranco
Keyword(s):  
Information Systems ◽  
Structural Model ◽  
Personal Information ◽  
Mobile Apps ◽  
Theoretical Perspective ◽  
Critical Factor ◽  
Structural Equations ◽  
Content Type ◽  
Privacy Concerns ◽  
The Usa

Purpose The unprecedented development of hotel-branded mobile applications (apps) has been instrumental in facilitating the rich guest–hotel interactions, thus contributing to a high personalization of services. For true personalization, guests need to provide personal information via apps. Yet, no study to date has addressed how guests develop intentions to use such apps given the current personalization and privacy challenges. Therefore, this study aims to investigate hotel guests’ intentions to use hotel apps to access personalized services. Design/methodology/approach Drawing from personalization-privacy theory, this study conceptualized perceived personalization and privacy concerns as distinct constructs while recognizing two different privacy concerns constructs: general and app-specific privacy concerns. To build a comprehensive structural model that is appropriate for explicating intentions to use hotel apps, this study incorporates consumer psychology and information systems theoretical streams that provide constructs that unequivocally capture the unique set of consumer–app interactions in highly experiential settings such as hotels (e.g. innovativeness and involvement). Using a nation-wide sample of hotel guests from the USA, the model was validated using confirmatory factor analysis and structural equations modeling. Findings The predictors explained 79 per cent of the variability in the intentions to use hotel apps to personalize hotel services. The strongest predictor of intentions was involvement, followed by app-related privacy concerns and perceived personalization. Research limitations/implications First, this study’s extended theoretical framework was well supported, as it captures relevant elements of the mobile commerce ecosystem (e.g. personalization and privacy), thus extending the classic paradigmatic approach to information systems adoption beyond system beliefs. Second, this study clarifies the distinct roles of personalization and privacy in the context of hotel apps, which has not been examined in the context of m-commerce in hospitality. Third, the study clarifies the role of involvement as the most critical factor that can influence guests’ intentions to use hotel apps when personalization options and privacy concerns exist. Practical implications This study offers hotel decision-makers a mapping of the factors, leading to use of hotel apps for purchasing personalized hotel services. Originality/value This study provides a first theoretical perspective on the hotel app utilization behaviors that have not been studied so far, but carry a strong strategic and financial significance for the hotel industry (direct distribution, brand consolidation and extensive contact with guests).

“Warning! You’re entering a sick zone”

2019 ◽  
Vol 43 (6) ◽  
pp. 1046-1062 ◽  
Author(s):  
Scott S.D. Mitchell
Keyword(s):  
Public Health ◽  
Disease Risk ◽  
Personal Information ◽  
Mobile Apps ◽  
Disease Outbreaks ◽  
Content Type ◽  
Privacy Concerns ◽  
Contagious Diseases ◽  
Cultural Historical Activity ◽  
Modes Of Governance

Purpose Traditional public health methods for tracking contagious diseases are increasingly complemented with digital tools, which use data mining, analytics and crowdsourcing to predict disease outbreaks. In recent years, alongside these public health tools, commercial mobile apps such as Sickweather have also been released. Sickweather collects information from across the web, as well as self-reports from users, so that people can see who is sick in their neighborhood. The purpose of this paper is to examine the privacy and surveillance implications of digital disease tracking tools. Design/methodology/approach The author performed a content and platform analysis of two apps, Sickweather and HealthMap, by using them for three months, taking regular screenshots and keeping a detailed user journal. This analysis was guided by the walkthrough method and a cultural-historical activity theory framework, taking note of imagery and other content, but also the app functionalities, including characteristics of membership, “rules” and parameters of community mobilization and engagement, monetization and moderation. This allowed me to study HealthMap and Sickweather as modes of governance that allow for (and depend upon) certain actions and particular activity systems. Findings Draw on concepts of network power, the surveillance assemblage, and Deleuze’s control societies, as well as the data gathered from the content and platform analysis, the author argues that disease tracking apps construct disease threat as omnipresent and urgent, compelling users to submit personal information – including sensitive health data – with little oversight or regulation. Originality/value Disease tracking mobile apps are growing in popularity yet have received little attention, particularly regarding privacy concerns or the construction of disease risk.

scholarly journals Emerging Applications on Smart Phones: The Role of Privacy Concerns and its Antecedents on Smart Phones Usage

2021 ◽  
Vol 13 (2) ◽  
pp. 43-65
Author(s):  
Waleed Al-Ghaith
Keyword(s):  
Cultural Values ◽  
Private Information ◽  
Mobile Apps ◽  
Self Regulation ◽  
Smart Phones ◽  
Perceived Effectiveness ◽  
Privacy Concerns ◽  
Self Defense ◽  
Proposed Model ◽  
Privacy Issues

Many applications on smart Phones can use various sensors embedded in the mobiles to provide users’ private information. This can result in a variety of privacy issues that may lessening level of mobile apps usage. To understand this issue better the researcher identified the root causes of privacy concerns. The study proposed a model identifies the root causes of privacy concerns and perceived benefits based on our interpretation for information boundary theory. The proposed model also addresses the usage behavior and behavioral intention toward using mobile apps by using the Theory of Planned Behavior. The result shows that “Cultural values” alone explains 70% of “Perceived privacy concerns” followed by “Self-defense” which explains around 23% of “Perceived privacy concerns”, and then “Context of the situation” with 5%. Whereas, the findings show that “Perceived effectiveness of privacy policy” and “Perceived effectiveness of industry self-regulation” both are factors which have the ability to reduce individuals “Perceived privacy concerns” by 9% and 8% respectively.

scholarly journals Future Intention to disclose personal information via mobile apps

2021 ◽  
Vol 23 (59) ◽  
pp. 78-93
Author(s):  
Sady Darcy da Silva Junior ◽  
Edimara Mezzomo Luciano ◽  
Rafael Mendes Lübeck
Keyword(s):  
Personal Information ◽  
Mobile Apps ◽  
Privacy Concerns ◽  
Risk Beliefs ◽  
Information Privacy Concerns ◽  
Trust Beliefs ◽  
The Future ◽  
Future Intention ◽  
Factor Design ◽  
The Relationship

This study analyses the future intention to disclose personal information in order to use mobile applications (apps) and the framing effect in relation to privacy concerns. To test the effects, an experiment was conducted involving 405 participants, using a single-factor design with independent groups and covariates. The results indicate concern about privacy is negatively related to the future intention, confirming the effects of framing on future intention, with the effect being negative in relation to the negative framing of trust beliefs and positive in relation to the positive framing of risk beliefs, while the moderating effect was not confirmed. Thus, this paper contributes to two specific areas: 1) privacy, because it confirms the relationship between information privacy concerns and future intention (new proposed scale); and 2) decision-making, as it demonstrates the effects of framing on risk and trust beliefs in future intentions, which, as far as is known, has not previously been shown.

Electronic Commerce and Data Privacy

2003 ◽  
pp. 213-238 ◽  
Author(s):  
Sandra C. Henderson ◽  
Charles A. Snyder ◽  
Terry A. Byrd
Keyword(s):  
Electronic Commerce ◽  
Data Privacy ◽  
Government Regulation ◽  
Personal Information ◽  
Self Regulation ◽  
Personal Data ◽  
Privacy Policies ◽  
Online Questionnaire ◽  
Privacy Concerns ◽  
Consumer Privacy

Electronic commerce (e-commerce) has had a profound effect on the way we conduct business. It has impacted economies, markets, industry structures, and the flow of products through the supply chain. Despite the phenomenal growth of e-commerce and the potential impact on the revenues of businesses, there are problems with the capabilities of this technology. Organizations are amassing huge quantities of personal data about consumers. As a result, consumers are very concerned about the protection of their personal information and they want something done about the problem.This study examined the relationships between consumer privacy concerns, actual e-commerce activity, the importance of privacy policies, and regulatory preference. Using a model developed from existing literature and theory, an online questionnaire was developed to gauge the concerns of consumers. The results indicated that consumers are concerned about the protection of their personal information and feel that privacy policies are important. Consumers also indicated that they preferred government regulation to industry self-regulation to protect their personal information.

Social media cultivating perceptions of privacy: A 5-year analysis of privacy attitudes and self-disclosure behaviors among Facebook users

2016 ◽  
Vol 20 (1) ◽  
pp. 141-161 ◽  
Author(s):  
Mina Tsay-Vogel ◽  
James Shanahan ◽  
Nancy Signorielli
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Risk Perceptions ◽  
Personal Information ◽  
Negative Relationship ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Facebook Use ◽  
The Impact

In light of the omnipresence of personal information exchange in the virtual world, this study examines the effects of Facebook use on privacy perceptions and self-disclosure behaviors across a 5-year period from 2010 to 2015. Findings at the global level support the socializing role of Facebook in cultivating more relaxed privacy attitudes, subsequently increasing self-disclosure in both offline and online contexts. However, longitudinal trends indicate that while risk perceptions increased for heavy users, they remained stable for light users. Furthermore, the negative relationship between privacy concerns and self-disclosure weakened across time. Implications for the application of cultivation theory to a contemporary social media context and the year-to-year changes in the impact of Facebook use on privacy attitudes and self-disclosure are discussed.

Electronic Commerce and Data Privacy

2011 ◽  
pp. 89-113
Author(s):  
Sandra C. Henderson ◽  
Charles A. Snyder ◽  
Terry A. Byrd
Keyword(s):  
Electronic Commerce ◽  
Data Privacy ◽  
Government Regulation ◽  
Personal Information ◽  
Self Regulation ◽  
Personal Data ◽  
Privacy Policies ◽  
Online Questionnaire ◽  
Privacy Concerns ◽  
Consumer Privacy

Electronic commerce (e-commerce) has had a profound effect on the way we conduct business. It has impacted economies, markets, industry structures, and the flow of products through the supply chain. Despite the phenomenal growth of e-commerce and the potential impact on the revenues of businesses, there are problems with the capabilities of this technology. Organizations are amassing huge quantities of personal data about consumers. As a result, consumers are very concerned about the protection of their personal information and they want something done about the problem. This study examined the relationships between consumer privacy concerns, actual e-commerce activity, the importance of privacy policies, and regulatory preference. Using a model developed from existing literature and theory, an online questionnaire was developed to gauge the concerns of consumers. The results indicated that consumers are concerned about the protection of their personal information and feel that privacy policies are important. Consumers also indicated that they preferred government regulation to industry self-regulation to protect their personal information.

Social Networking Sites Continuance: An Application of Extended Theory of Planned Behaviour

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Himanshu Rajput
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Theory Of Planned Behaviour ◽  
Standard Theory ◽  
Planned Behaviour ◽  
Privacy Concerns ◽  
Proposed Model ◽  
Continued Use ◽  
Moderating Role

Social networking sites (SNSs) have become popular in India with the proliferation of Internet. SNSs have gained the interests of academicians and researchers. The current study is an endeavor to understand the continuance of social networking sites in India. The study applies an extended version of theory of planned behavior. Additional factors privacy concerns and habits were incorporated into the standard theory of planned behaviour. A survey was conducted in a Central University in India. Overall, data was collected from 150 respondents. PLS-SEM was used to test the proposed model. All the hypotheses except the moderating role of habits between intentions and continued use of social networking sites, were supported by the results. Habits were found to affect continued use of social networking sites indirectly through continued intentions.

Sign in / Sign up

Export Citation Format

Share Document