The Impact of Privacy Concern on M-commerce User Acceptance

2008 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
User Acceptance ◽  
Privacy Concern ◽  
The Impact

ISSUES AND CHALLENGES IN BUSINESS INTELLIGENCE CASE STUDIES

2016 ◽  
Vol 78 (8-2) ◽  
Author(s):  
Azizah Abdul Rahman ◽  
Nooradilla Abu Hasan ◽  
Norminshah A. Lahad
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Case Studies ◽  
Business Intelligence ◽  
Qualitative Method ◽  
User Acceptance ◽  
Three Dimensions ◽  
Implementation Project ◽  
Organization Process ◽  
The Impact

Business Intelligence (BI) has embarked on decision-making setting. This has influenced many organizations from different industries that are located in diverse regions to implement BI. Critical Successful Factors (CSF) becomes the guideline for the implementer to adopt BI successfully. However, lack of BI knowledge and weak consideration of BI CSF led to the failure of BI implementation project. Several issues and challenges have been identified during the BI implementation. In addition, other researchers rarely discussed this subject. Thus, the objective of this paper is to recognize the issues and challenges on BI implementation. Through qualitative method, BI practices systematically described the purpose of BI execution on selected organizations, industries and regions. It has given the path towards the issues and challenges of BI implementation. The identified issues and challenges are defining the business goal, data management, limited funding, training and user acceptance as well as the lack of expertise issues. The findings categorized the issues and challenges into three dimensions of CSF for BI implementation, which are Organization, Process and Technology dimension. Limitation in this study requires future researchers to study in details of these issues and challenges including the solutions and the impact of BI implementation.

The Role of Online Privacy Concern as a Mediator between Internet Self-Efficacy and Online Technical Protection Privacy Behavior

2017 ◽  
Vol 9 (3-2) ◽  
Author(s):  
Wan Ying Lee ◽  
Chee-Seng Tan ◽  
Poh Chua Siah
Keyword(s):  
Internet Addiction ◽  
Self Efficacy ◽  
Demographic Data ◽  
Study Data ◽  
Online Privacy ◽  
Privacy Concern ◽  
Internet Users ◽  
The Government ◽  
Questionnaire Surveys ◽  
The Impact

Online risks may result in unnecessary harm but these risks can be minimized by being online privacy concerned and by taking privacy protective actions. Few studies examined the impact of privacy concern and internet self-efficacy on the online technical protection privacy behavior. Therefore, this research aims to investigate the effect of privacy concern and internet self-efficacy on technical protection. Quantitative and purposive sampling methods were used in this study. Data were gathered via questionnaire surveys from 235 undergraduates from six universities in Malaysia. The questionnaire includes participants’ demographic data, internet addiction test, web user self-efficacy scale, privacy concern, and technical protection scale. Hierarchical multiple regression analyses were conducted to examine the effect of internet self-efficacy and privacy concern on technical protection, while controlling for gender, course type, and internet addiction. Results showed that both privacy concern and internet self-efficacy were significant predictors of technical protection. Moreover, mediation analysis showed that there was an indirect effect of internet self-efficacy on technical protection through privacy concern. The results contribute to literature by revealing how internet self-efficacy and privacy concern increase technical protection. The government and policy makers can design intervention and prevention programs that aim to boost privacy concern and internet self-efficacy, so that internet users are more capable of safeguarding their online privacy.  

Perceived Personalization, Privacy Concern, e-WOM and Consumers' Click Through Intention in Social Advertising

2019 ◽  
Vol 11 (4) ◽  
pp. 39-55
Author(s):  
Debora Dhanya A ◽  
Uma Pricilda Jaidev
Keyword(s):  
Social Media ◽  
Social Networking Sites ◽  
Psychological Reactance ◽  
Privacy Concern ◽  
The Social ◽  
Social Media Platforms ◽  
Social Advertising ◽  
Target Consumer ◽  
Personalized Advertising ◽  
The Impact

Social advertising, ads in social media platforms, have become popular in recent years because of the evolution of internet technologies such as web analytics and big data mining. The content of the social advertisement is tailored in order to personalize the message to the target consumer groups. In an effort to reach the prospects, marketers should focus on the social leads on social networking sites (SNS) to promote and to sell their brands/products. Drawing on, online personalized advertising literature, e-WOM recommendations and increasing privacy concerns and perceived ad personalization (conceptualized as functions of psychological reactance) on SNS leads to avoid such advertisements. The goal of the study is to investigate the impact of perceived personalization, privacy concern, and e-WOM to consumers' behavioral click through intentions towards social ads. This study contributed to the theory of psychological reactance by indicating that the individuals with less privacy concern and personalized recommendations from their contacts on SNS have a smaller amount of reactance towards social advertisements than commercial advertisements by marketers. Suggestions for advertisers, social media marketing practitioners conclude the paper.

scholarly journals User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

2020 ◽  
Vol 12 (12) ◽  
pp. 209
Author(s):  
Jie Zhao ◽  
Can Yan
Keyword(s):  
Hybrid Method ◽  
Structural Equation ◽  
Negative Impact ◽  
Positive Impact ◽  
Qualitative Comparative Analysis ◽  
User Acceptance ◽  
Considerable Effect ◽  
Sem Analysis ◽  
Mobile Internet ◽  
The Impact

It is of great significance for enterprises’ development to effectively use mobile Internet to carry out information feed advertising. This paper aims to study the influence factors and effect of the users’ acceptance intention of information feed advertising through empirical analysis to provide references for further optimizing information feed advertising strategy. Traditional quantitative analysis methods, such as the Structural Equation Model (SEM), can only measure a single factor’s influence from an individual perspective. Therefore, we introduce the Qualitative Comparative Analysis (QCA) and present a two-stage hybrid method based on SEM and QCA. In the first stage, we analyze the influence of a single variable on the acceptance intention of information feed advertising by SEM. Then, in the second stage, we analyze the impact of different variable combinations by QCA. Based on the actual questionnaire data, we define six independent variables and use AMOS, SPSS, and fsQCA to carry out SEM analysis and the fuzzy-set-based QCA analysis, respectively. The SEM analysis results show that the four factors (including consistency, informativeness, sociability, and advertising reward) have a significant positive impact on user acceptance of information feed advertising. On the contrary, perceived advertising clustering has a significant negative impact. In addition, accuracy has no considerable effect. The QCA analysis reveals that seven constructs of six variables can all significantly enhance information feed ads’ acceptance intention.

A Factorial Survey Study on the Influence of Advertising Place and the Use of Personal Data on User Acceptance of Facebook Ads

2017 ◽  
Vol 61 (7) ◽  
pp. 653-671 ◽  
Author(s):  
Evert Van den Broeck ◽  
Karolien Poels ◽  
Michel Walrave
Keyword(s):  
Social Networking ◽  
Indirect Effect ◽  
Social Networking Sites ◽  
Personal Data ◽  
User Acceptance ◽  
User Generated Content ◽  
Survey Study ◽  
Factorial Survey ◽  
The Impact

Advertisements on social networking sites are typically unrequested messages placed in between the user-generated content. What makes users accept these ads (or not)? A factorial survey was conducted to uncover the impact of different factors related to the use of personal data (e.g., sensitivity of personal data) and advertising place (e.g., ad location) of Facebook ads on user acceptance (i.e., fairness and appropriateness) of the advertisement. Placement of the advertisement was the only factor to significantly affect user acceptance. Moreover, the effect of ad placement largely depended on the degree of involvement with the advertised product. Among low-involved subjects, sidebar ad placement was better accepted. Moreover, the influence of ad placement on user acceptance was fully mediated by perceived intrusiveness of the ad. This indirect effect was not significant in the high-involved subgroup, where message stream placement was better accepted. Implications for targeting advertising on Facebook are discussed.

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