- Digital Platforms and Economics
- Technology and Data Analysis
- Economic Growth and Productivity
- Technology Adoption and User Behaviour
- Consumer Market Behavior and Pricing
- Internet of Things and Social Network Interactions
- Recommender Systems and Techniques
- Digital Marketing and Social Media
- Innovation in Digital Healthcare Systems
- Context-Aware Activity Recognition Systems
- ICT Impact and Policies
- Merger and Competition Analysis
- Firm Innovation and Growth
- Innovation Diffusion and Forecasting
- Privacy, Security, and Data Protection
- Caching and Content Delivery
- Diverse Approaches in Healthcare and Education Studies
- Diverse Topics in Contemporary Research
- Information and Cyber Security
- Economic and Environmental Valuation
- Advanced Data Storage Technologies
- Stock Market Forecasting Methods
- Open Source Software Innovations
- Fiscal Policy and Economic Growth
- Spam and Phishing Detection
University of Ulsan
2024
Asan Medical Center
2024
Ulsan College
2024
Sungkyunkwan University
2024
Hanyang University
2013-2023
Myongji University
2022
LG (United States)
2016-2019
Johns Hopkins University
2019
Yonsei University
2004-2018
Kongju National University
2002-2016
This paper reports the results of an exploratory field experiment in Singapore that assessed values two types privacy assurance: statements and seals. We collaborated with a local firm to host on its website real domain name, subjects were not informed experiment. Hence, study provided observation subjects' behavioral responses toward assurances. found (1) existence statement induced more disclose their personal information but seal did not; (2) monetary incentive had positive influence...
The advent of the Internet has made transmission personally identifiable information more common and often unintended by user. As personal becomes accessible, individuals worry that businesses misuse is collected while they are online. Organizations have tried to mitigate this concern in two ways: (1) offering privacy policies regarding handling use (2) benefits such as financial gains or convenience. In paper, we interpret these actions context information-processing theory motivation....
This paper investigates the simultaneous causal relationship between investments in information and communication technology (ICT) flows of foreign direct investment (FDI), with reference to its implications on economic growth. For empirical analysis we use data from 23 major countries heterogeneous development for period 1976–99. Our causality test results suggest that there is a ICT FDI developed countries, which means higher level leads an increase inflow FDI. may contribute growth...
We introduce the concept of marketing avoidance—consumer efforts to conceal themselves and deflect marketing. The setting is one in which sellers market some item through solicitations potential consumers, who differ their benefit from suffer harm receiving solicitations. Concealment by consumer induces shift other whereas deflection does not. Solicitations cause two externalities: direct on consumers (indirect) cost concealment deflection. find that markets where marginal solicitation...
This paper studies the feasibility of renewable energy as a substitute for nuclear and by considering Korean customers' willingness to pay (WTP). For this analysis, we use contingent valuation method estimate WTP energy, then its value using ordered logistic regression. To replace power fossil with in Korea, an average household is willing additional 102,388 Won (KRW) per month (approx. US $85). Therefore, yearly economic Korea about 19.3 trillion KRW $16.1 billion). Considering that...
Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides dataset into pure subsets based on impurity measurements such as entropy Gini. Then relatively "pure" partitions consisting of observations with the (almost) same class are obtained. Gini index one representative indices measuring data. However, does not take account distances between classes. If classes considered when impurity, decision can distinguish clearly...
The Internet can make markets more competitive, but whether this holds for on-line price levels and dispersion is unclear, perhaps because the maturity, or level of development, has not been widely studied. This paper explores how maturity an market affects pricing in relation to types products retailers. It analyzes differences between pure retailers (e-tailers) hybrid (multichannel retailers) three categories (books, CDs, digital cameras) two countries with different (China United States)....
Recently, serious concerns have been raised about the privacy issues related to training datasets in machine learning algorithms when including personal data. Various regulations different countries, GDPR grant individuals data erased, known as ‘the right be forgotten’ or erasure’. However, there has less research on effectively and practically deleting requested from set while not jeopardizing overall performance. In this work, we propose a fast novel unlearning paradigm at layer level...
Trajectory prediction for industrial vehicles, such as forklifts, must account complex environments, including load capacity, variations of terrain, and confined spaces. Unlike trajectory pedestrians or personal the trajectories vehicles are influenced by these physical factors, necessitating models that integrate considerations accurate predictions. This study proposes a volume-based method applying prompt engineering to input large language (LLMs). Specifically, includes size bounding box...
Aerosol and ocean remote sensing traditionally rely on top-of-atmosphere (TOA) radiance measurements to retrieve optical properties. However, there are ongoing challenges in retrieving chemical physical parameters due the limited information contents of radiances. Polarization measurements, which sensitive several aerosol parameters, provide additional these for more detailed characterization. The polarization also give valuable insights into interaction between aerosols atmosphere. Over...
Abstract This paper extends the existing evidence on relationship between Information and Communication Technology (ICT) productivity using data from entire Iranian manufacturing sector (22 industries) over period 1993–1999. Estimates of efficiency panel confirm positive significant impact ICT investments productivity. Our finding is consistent with most recent literatures in context developed a few middle‐income developing countries. Human capital increasing are probably two determining...
Abstract This study used several informatics techniques to analyze consumer-driven social media data from four cities (Paris, Milan, New York, and London) during the 2019 Fall/Winter (F/W) Fashion Week. Analyzing keywords using a semantic network analysis method revealed main characteristics of collections, celebrities, influencers, fashion items, brands, designers connected with weeks. Using topic modeling sentiment analysis, this confirmed that brands embodied similar themes in terms...