Are People Really Concerned About Their Privacy?: Privacy Paradox In Mobile Environment

The wide spread of mobile devices enables people to use the Internet everywhere. It provides people convenience in various aspects. However, they also are exposed to the risk of personal information leakage and privacy invasion. No previous study has examined whether the behaviors of people are influenced by their awareness of privacy in a mobile environment. With the ever-increasing importance of privacy issues, our study examines the critical relationship between individual privacy concerns and its behavior. The data is the media diary or 10,174 individuals’ media usage for three days, collected by the Korea Information Society Development Institute (KISDI) in 2014. Our result suggests that privacy concern has a positive influence on the smartphone usage, mobile application purchase and in-app purchase. It implies that the individual privacy concern does not correspond to his or her actual behaviors, which is paradoxical

An Empirical Examination of Consumer Behavior for Search and Experience Goods in Sentiment Analysis

With the explosive increase of user-generated content such as product reviews and social media, sentiment analysis has emerged as an area of interest. Sentiment analysis is a useful method to analyze product reviews, and product feature extraction is an important task in sentiment analysis, during which one identifies features of products from reviews. Product features are categorized by product type, such as search goods or experience goods, and their characteristics are totally different. Thus, we examine whether the classification performance differs by product type. The findings show that the optimal threshold varies by product type, and simply decreasing the threshold to cover many features does not guarantee improvement of the classification performance

A Review System Based On Product Features In A Mobile Environment

With the rapid growth of the mobile commerce, firms have been trying to get their online channels optimized for the mobile devices. However, many contents on online shopping sites are still focused on a desktop PC environment. Especially, consumer reviews are difficult to browse and grasp via a mobile device. Usually, it is not helpful to simply reduce the size of fonts or photos to fit to mobile devices without a fundamental transformation of the review presentation. In this study, we suggest a feature-based summarization process of consumer reviews in mobile environment. Further, we illustrate an implementation of the process by applying opinion mining techniques to product reviews crawled from a major shopping site in Korean. Finally, a plan for a controlled laboratory experiment is proposed to validate the effectiveness of the suggested review framework in this study

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

Benefit Ambiguity and Asymmetric Herding in Privacy Decisions: A Field Experiment in a Mobile Application System

This study conducts a field experiment to enhance our understanding of the factors affecting permission grants to mobile apps that access personal information or device functionalities. Specifically, we focus on how different levels of information on benefit (benefit ambiguity) and knowing others’ permission status affect users’ permission granting to mobile apps. Two hundred eighty-three mobile users installed our experimental app, and we observed their change in the permission setting for two weeks. We find that participants who received the detailed reward scheme (low in benefit ambiguity) shared significantly more information items than participants who received the abstract reward scheme (high in benefit ambiguity). We also find the asymmetric herding effect, where participants who shared fewer items than the average were significantly encouraged to share more by obtaining the feedback of others’ information sharing status, whereas participants who shared more than the average were not affected by the feedback. Lastly, there was a significant interaction effect between our treatments, such that the asymmetric herding effects were more significant for participants who received the detailed reward scheme. We discuss the implications and future directions of our study

An Empirical Study on Anti-spam Legislation

Spam is one of the most serious information security issues. It has a role as a potential propagator of vicious attacks such as viruses and phishing. The proportion of spam email has constantly been above 80% of the total email traffic in the world. Although national governments and international agencies agree that effective anti-spam laws should be enacted, there have been few studies investigating the effects of spam-reducing policies around the world. The aim of our research is to examine whether the enacted anti-spam policy based on the opt-in approach in South Korea can effectively decrease the number of spam messages originating from South Korea. Our preliminary findings show that the national spam policy of South Korea has had a significant effect on reducing the volume of spam. This study proposes a novel idea in making the potential origins of cybercrime responsible for the consequences

Alexa, Tell Me More: The Effect of Advertisements on Memory Accuracy from Smart Speakers

The smart speaker is currently one of the fastest-growing consumer technologies. As a result, more and more people are buying products through smart speakers. However, because voice commerce advertisements are not yet active, little is known about the effectiveness of smart speaker advertisements. This study assessed advertisement effectiveness using several distinctive features of the smart speaker: interactivity, contextually relevant advertisements, and voice changes. Study 1 illustrates that when users interact with an advertisement from the speaker, the effects of the advertisements are more significant than the effects of one-way advertisements, especially in the case of low involvement products. Study 2 further illustrated that contextually relevant advertisements increase the advertisement effectiveness from the smart speaker, while voice dissimilarity moderates the relationship between the contextual relevance and the effectiveness. These findings provide future directions for producing the new forms of advertisements and verifying advertisement effectiveness in the smart speaker environment