scholarly journals Investigating the nexus between Mobile Apps Adoption and Privacy Concerns among Users: An Empirical Analysis from Ghana

2020 ◽  
Vol 10 ◽  
pp. 167-188
Author(s):  
Acheampong Owusu ◽  
Ivy Hawah Taana ◽  
Akeem Soladoye Bakare ◽  
Daha Tijjani Abdurrahaman ◽  
Frederick Edem Broni Jnr
Keyword(s):  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Privacy Concern ◽  
Privacy Risk ◽  
Policy And Practice ◽  
Tertiary Institution ◽  
Privacy Concerns ◽  
Privacy Settings ◽  
Antecedent Variable

There has been a proliferation of Mobile Phones Applications commonly referred to as Mobile Apps lately due to the advancement of technology. These Mobile Apps are used for a myriad of tasks ranging from Mobile Commerce (m-commerce), healthcare, learning, social media, among others. However, with this spread of the Mobile Apps comes the issues of privacy concerns. This study, therefore, seeks to investigate why users continue to use the Mobile Apps despite the privacy concerns and what measures they have put in place to mitigate this menace. Through the Antecedents, Privacy, Concerns, and Outcome (APCO) model, the study developed a research model that was hypothesized and evaluated with 316 respondents from a tertiary institution. The data was analyzed through the partial least squares structural equation model (PLS-SEM). The results indicate that whilst antecedent variable Gender influences Privacy Concern, Experience on the other hand does not. Also, Enjoyment, Privacy Risk, and Trust influence Usage Continuance Intention. Also, Application Popularity influences Change Privacy Settings. Again, Privacy Concern influence Privacy Risk but does not influence Trust. Moreover, Enjoyment, Privacy Risk, and Trust do not influence Change Privacy Settings. This study has given the researchers insights as to why users continue to use Mobile Apps despite the Privacy Concerns that have been raised in the literature. Other implications for theory, policy, and practice are also discussed.  

scholarly journals Does a University’s Enslavement History Play a Role in Black Student–White Faculty Interactions? A Structural Equation Model

2021 ◽  
Vol 11 (12) ◽  
pp. 809
Author(s):  
Juan C. Garibay ◽  
Christopher Mathis
Keyword(s):  
Structural Equation ◽  
Research Policy ◽  
Emotional Responses ◽  
Racial Microaggressions ◽  
Equation Model ◽  
Black College ◽  
Equation Modeling ◽  
Policy And Practice ◽  
White Faculty ◽  
History Play

Drawing upon Hartman’s (1997) notion of the afterlife of slavery and Critical Race Quantitative Inquiry, this study examines whether Black college students’ emotional responses to their institution’s history of slavery plays a role in contemporary interactions with white faculty. Using structural equation modeling techniques on a sample of 92 Black students from a southern U.S. institution historically involved in slavery, findings highlight the significance of background characteristics, students’ emotional responses to their institution’s slavery history, and experiences with racial microaggressions during college in predicting negative interactions with white faculty. Implications for research, policy, and practice are discussed.

scholarly journals A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 772 ◽  
Author(s):  
Nemec Zlatolas ◽  
Welzer ◽  
Hölbl ◽  
Heričko ◽  
Kamišalić
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Significant Relationships ◽  
Privacy Issues

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

Information privacy concern and deception in online retailing

2019 ◽  
Vol 30 (2) ◽  
pp. 511-537 ◽  
Author(s):  
Yang Li ◽  
Hefu Liu ◽  
Matthew Lee ◽  
Qian Huang
Keyword(s):  
Information Integration ◽  
Structural Equation ◽  
Information Privacy ◽  
Negative Influence ◽  
Equation Model ◽  
Media Richness ◽  
Privacy Concern ◽  
Online Retailing ◽  
Content Type ◽  
The Relationship

Purpose Previous studies have attempted to address online uncertainties from the relationship marketing perspective. The purpose of this paper is to argue that the integration of media richness theory (MRT) and cognitive fit theory (CFT) can contribute a new perspective in addressing consumers’ transaction-specific uncertainties in online retailing. Design/methodology/approach On the basis of MRT and CFT, a research model was developed by correlating online channel media richness (OCMR), online–offline information integration (OOII), information privacy concern, perceived deception and online loyalty. The model was empirically examined based on survey data collected from 258 multi-channel consumers in China. Findings An analysis of structural equation model showed that OCMR is negatively associated with information privacy concern and perceived deception but is not significant to online loyalty. Information privacy concern has a negative influence on online loyalty, but the effect of perceived deception is not significant. Moreover, information privacy concern is positively related to perceived deception. The OOII strengthens the influence of OCMR but not the moderating effect of integrated promotion, product and price information on the relationship between OCMR and online loyalty. Originality/value This study contributes to the extant literature on online retailing by examining the effect of OCMR on online transaction uncertainties. Information integrity in the form of OOII was proposed to complement OCMR. Results have shown that OCMR is significant in reducing online uncertainties, and OOII strengthens this effect, thereby enhancing online loyalty.

scholarly journals Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Chang Yang ◽  
Xiaofei Ye ◽  
Jin Xie ◽  
Xingchen Yan ◽  
Lili Lu ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
The Relationship

With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces. However, there are not many drivers who use the mobile Apps to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App. In order to better explain, predict, and improve drivers’ acceptance of parking App, the conceptual framework based on technology acceptance model was developed to establish the relationships between the drivers’ intention to accept parking App, trust in parking App, perceived usefulness of parking App, and perceived ease of its use. Then structural equation model was established to analyze the relationship between various variables. The results show that the trust in parking App, perceived usefulness, perceived ease of use, and parking App attributes are the main factors that determine the intention to use parking App. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on acceptance intention, with a standardized coefficient of 0.984, followed by parking App attribute (0.743), perceived ease of use (0.384), and trust in parking App (0.381).

Role of psychological and technological attributes on customer conversion to use food ordering apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunil Atulkar ◽  
Ashish Kumar Singh
Keyword(s):  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Customer Relationship ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Perceived Price

PurposeToday the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.Design/methodology/approachConvenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.FindingsFindings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.Research limitations/implicationsResearch outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.Practical implicationsStudy suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.Originality/valueMajor contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

How stress and anxiety when using mobile restaurant reservation Apps influence users’ satisfaction and trust

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vera Gelashvili ◽  
Juan Gabriel Martínez-Navalón ◽  
Giovanni Herrera Enríquez
Keyword(s):  
Statistical Analysis ◽  
Structural Equation ◽  
Design Methodology ◽  
Indian Population ◽  
Mobile Apps ◽  
Equation Model ◽  
Content Type ◽  
Academic Literature ◽  
Minimum Standards ◽  
The Relationship

Purpose The main aim of this study is to analyze if the users’ stress and anxiety when using mobile Apps for restaurant reservations influence their trust and satisfaction toward the restaurants. In addition to this, the relationship between satisfaction and trust is studied. The study sample is the Indian population in Spain. Design/methodology/approach To achieve the objectives set, the questionnaire measuring each of the variables used in the study was carried out. A variance-based structural equation model, partial least squares (PLS), was used for statistical analysis of the data. Findings The results obtained have shown that the relations stress–satisfaction, anxiety–satisfaction and satisfaction–trust are accepted to be significant, whereas the relations stress–trust and anxiety–trust are rejected because they do not fulfill the minimum standards of significance. Originality/value This study is an important contribution in the academic literature because there are not many studies that analyze the variables of stress and anxiety in the context of marketing. In addition to this, the study sample is the Indian population resident in Spain, the population that is not studied in depth.

Mobile Applications Acceptance

2019 ◽  
Vol 11 (2) ◽  
pp. 13-30
Author(s):  
Naciye Güliz Uğur ◽  
Aykut Hamit Turan
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Theoretical Research ◽  
State University ◽  
Mobile Platforms ◽  
Research Areas ◽  
Use Of Technology ◽  
Acceptance Model

Mobile apps are now an integral part of our daily life, with people spending an average of 30 hours per month with them. On the other hand, according to the existing literature, one in four installed apps is never been used and also there are thousands of rarely downloaded apps on mobile platforms. In this context, investigating the factors influencing the behavioral intentions to use mobile apps and finding out what make some apps popular are important research areas for scientists as well as practitioners. This study integrates constructs from the technology acceptance model (TAM), theory of planned behavior (TPB), unified theory of acceptance and use of technology model (UTAUT) and the uses and gratifications theory (UGT) into a new theoretical model and tests them. The study was conducted by using a structured questionnaire to collect data from 1654 student respondents from a large state university. The theoretical research model was tested with structural equation model (SEM).

Privacy concern and online transactions: the impact of internet self-efficacy and internet involvement

2014 ◽  
Vol 31 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Syed H. Akhter
Keyword(s):  
Direct Effect ◽  
Self Efficacy ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Model ◽  
Privacy Concern ◽  
Content Type ◽  
Online Transactions ◽  
The Impact ◽  
Practical Implications

Purpose – This study aims to examine the effects of internet self-efficacy and internet involvement on privacy concern and the effect of privacy concern on the frequency of online transactions. The study also seeks to examine the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions. Design/methodology/approach – A structural equation model was developed to test the hypotheses. The model was tested using the LISREL 8.8 software and both structural and measurement parameters were estimated. Findings – Findings suggest that internet self-efficacy and internet involvement affect privacy concern negatively; and privacy concern, in turn, affects frequency of online transactions negatively. Findings also indicate that the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions is positive. All parameters are significant and in the hypothesized direction. Practical implications – Findings highlight the significance of internet self-efficacy and internet involvement in explaining both privacy concern and online transactions. The negative impact of privacy concern shows strategically why businesses should take measures to protect privacy of consumers and assure them that the information they provide is protected and secure. Originality/value – This research contributes to the debate on privacy concern and adds to the growing body of literature on the impact of privacy concern on online transactions. Both antecedents and consequence of privacy concern are examined in the study.

Connecting Mobile Application Features with Perceived Benefits in Determining Post-adoption Behaviour

2021 ◽  
pp. 231971452110357
Author(s):  
Wajeeha Aslam ◽  
Imtiaz Arif ◽  
Zeeshan Atiq ◽  
Faraz Hussain
Keyword(s):  
Factor Analysis ◽  
Mobile Applications ◽  
Mobile Application ◽  
Structural Equation ◽  
Practical Knowledge ◽  
Mobile Apps ◽  
Equation Model ◽  
Mobile App ◽  
Perceived Benefits ◽  
Confirmatory Factor

This study aims to identify the perception of users, regarding characteristics of retail mobile applications (apps) on perceived benefits and their impact on post-adoption behaviour. On 264 useful responses, exploratory factor analysis, confirmatory factor analysis and structural equation model were applied via using SPSS 22 and Amos 22. The results showed that mobile app features, that is, perceived ubiquity, perceived informativeness, perceived personalization and perceived entertainment significantly impact mobile app usefulness and playful engagement. Only perceived informativeness has an insignificant impact on playful engagement. Both mobile app usefulness and playful engagement have a significant impact on mobile app stickiness, whereas they do not have any impact on mobile app word of mouth (WOM). Mobile stickiness also has a significant impact on mobile app WOM. This study highlights the post-adoption behaviour of the consumer towards retail mobile apps and expands practical knowledge of consumers’ behaviour towards using retail mobile apps.

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