• 한국벤처창업학회:학술대회논문집
• /
• 2022.04a
• /
• pp.123-126
• /
• 2022

Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two important aspects of online reviews are first, the topics consumers choose to address and second, the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre-and post-pandemic periods. After performing topic modeling on Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. Also, the order and magnitude of topics' impact on review sentiment change between pre-and post-pandemic periods for both countries. This study can help businesses to understand how topics and sentiments associated with their products and services changed after pandemic, and also help them identify areas of improvement.

• Journal of Information Technology Applications and Management
• /
• v.24 no.1
• /
• pp.93-110
• /
• 2017

This study aims at classifying and analyzing the business models of reverse overseas direct purchasing through online shopping-malls. After analyzing the current status of the reverse overseas direct purchasing online markets, this study identifies relevant critical business factors and synthesizes prior studies to construct and analyse the business models. This study proposes that the business models can be classified into five types according to the operation modes and three types according to the delivery methods. So theoretically 15 business models can be identified. For each business model this study analyzes the characteristics and the pros & cons. It also suggests deployment strategies for companies by considering cost reduction, brand establishment, customer management, customer aquisition, and easiness from the business perspective. From the customers perspective, cost reduction, reliability, royalty, ease to purchase, and accessibility can be considered according to the types of operation mode. The main contribution of this study is to provide the basic classifications and structures of reverse overseas direct purchasing business models systematically. As the result, our study evaluates the business models that which one is better than others in a situation in terms of company and customer. Lastly, we talk about limits and future prospects of the study.

• 한국디지털정책학회:학술대회논문집
• /
• 2005.06a
• /
• pp.75-87
• /
• 2005

Under the internet age, the competition among recruiting intermediaries including online and offline players has been intensified for several years. Therefore, their business processes or business models have also been transformed to be able to earn the competitive advantages. For these reasons, the traditional players like offline-based recruiting companies have willingly or unwillingly experienced the competitive disadvantages on the recruit battle ground. The online recruiting intermediaries, who newly participated in this industry and based on the internet environment, however, seized on the competitive advantages with the richness and the reach traits of online media. Under this context, the offline traditional intermediaries, who have been threatened by new online entries, must make a replacement of traditional trading mechanisms with alternative trading mechanisms like IT-enabled intermediaries. In this study by exploratory approach, we investigate the phases of transformation of the traditional recruiting intermediaries, changes in business strategies of offline-based firms, and impacts of online media in e-recruiting industry.

• Journal of Digital Convergence
• /
• v.3 no.2
• /
• pp.131-142
• /
• 2005

Under the internet age, the competition among recruiting intermediaries including online and offline players has been intensified for several years. Therefore, their business processes or business models have also been transformed to be able to earn the competitive advantages. For these reasons, the traditional players like offline-based recruiting companies have willingly or unwillingly experienced the competitive disadvantages on the recruit battle ground. The online recruiting intermediaries, who newly participated in this industry and based on the internet environment, however, seized on the competitive advantages with the richness and the reach traits of online media. Under this context, the offline traditional intermediaries, who have been threatened by new online entries, must make a replacement of traditional trading mechanisms with alternative trading mechanisms like IT-enabled intermediaries. In this study by exploratory approach, we investigate the phases of transformation of the traditional recruiting intermediaries, changes in business strategies of offline-based firms, and impacts of online media in e-recruiting industry.

• Journal of Industrial Convergence
• /
• v.16 no.1
• /
• pp.1-14
• /
• 2018

Online retail business has provided internet-based companies with the opportunities to be connected with online customers from all over the world. However, many online customers do not complete their transactions online even if they have already choose what they want because they perceive online payment service is risky or perceive difficulty of paying online. A large body of researchers have examined the important variables that influence online payment, however, these studies can hardly predict the future development tendency after five or ten years since the environment of online market changes so fast more than ever. Therefore, the purpose of this study is to examine the importance of factors affecting online payment and to provide long term dynamic decision making model for third-party payment companies and online service providers. To serve the purpose, this study used system dynamics approach to develop a model of online payment adoption and to simulate various development paths for ten years. The analysis results show that the number of online payment customers increase continuously in ten years, and service quality, system quality, and effort expectancy are key factors for customers to pay online.

• Journal of Information Technology Applications and Management
• /
• v.25 no.2
• /
• pp.117-132
• /
• 2018

This study examines the reason why consumers try to use the online shopping cart more, and especially analyzes the influence of personal psychological factor such as regulatory focus. Hypotheses are tested with a two-way ANOVA model using experimental data collected from 210 undergraduate students at a business school in South Korea. We found that prevention focused consumers try to use online shopping cart more than promotion focused consumers. It is possible that prevention focused consumers try to consider as many alternatives as possible to ensure safety as they focus on negative results or losses during shopping online. However, we also found out when the buying purpose is utilitarian, promotion focused consumers are not different from the promotion in terms of the usage intention of online shopping carts. Marketing managers can provide different messages customized for their consumers by leading them to use the online shopping cart in a more effective way.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.8
• /
• pp.2751-2771
• /
• 2022

In the post covid-19 era, organizations will experience a new environment. Advances in technologies such as AI and big data, and new experiences such as online meetings and lectures, will increase the use of online communication. Businesses will increasingly engage in online-based information sharing, virtual team operations, and online meetings. This study focuses on meeting climate and satisfaction, to improve the performance of online meetings. Existing studies on meeting climate presuppose off-line situations. Offline and online communication methods and meeting formats are different. This paper proposes new climate types to develop an appropriate climate for online-based meetings. To apply these climates in online meetings, a measurement scale was developed and the impact on online meeting satisfaction was verified. As a result of the study, it was found that the creativity-oriented meeting climate was the most important, and relation-oriented and participation-oriented meeting climates also had a significant effect, while the direction-oriented and task-oriented climates were relatively less important. This study develops new variables and measurements for online meeting climates, and explains their importance. Companies will be able to leverage the appropriate climates for online meetings to improve performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.11
• /
• pp.179-190
• /
• 2021

The purpose of this study is to understand the impact of influencers on generation Z (Gen Z) in the online environment. This article has applied the theories of source credibility, TAM, IAM, and TPB to identify influencer characteristics that affect the purchasing behaviors of Gen Z customers. This research was conducted using a Google Form survey with 24 pre-designed questions. A total of 464 valid questionnaires from Gen Z Vietnamese were collected between November 2020 and January 2021. Data was analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 3 software. The analysis results confirmed that the components of influencer credibility have a positive impact on Gen Z's purchasing behaviors under the mediated influence of argument quality, perceived usefulness, and social influence. Surprisingly, for Gen Z, the influencers' attractiveness has the strongest impact on their online behavior. More specifically, attractiveness plays the most important role in the perceived usefulness and social influence of Gen Z customers, while influencers' expertise has the strongest impact on argument quality delivered to customers. This study provides evidence of a change in the way Gen Z responds to marketing activities. They are more drawn by the attraction of influencers than their expertise.

• The Journal of Asian Finance, Economics and Business
• /
• v.10 no.2
• /
• pp.1-14
• /
• 2023

The purpose of this study is to discover the possible solutions for the problem faced by academicians during online learning by means of employing qualitative and quantitative approaches. Using a qualitative approach, selected academicians were interviewed, and their feedback was transcribed and used to develop the survey instrument. The quantitative research design was later used to determine the most plausible solutions for the problem that could be obtained and implemented by distributing the questionnaire to academicians at a public university. Multiple regression analysis results indicate that work-life conflict and lack of support are the main contributors to academicians' mental and emotional health issues. The study's major findings help higher education institutions craft appropriate strategies to enhance the effectiveness of online teaching and learning by providing the necessary support to the academicians. The study's findings suggest that academicians should separate work and family requirements to concentrate on their job. Furthermore, the immediate supervisor must be considerate in determining the number of tasks, the deadlines, and the assistance required to complete the task. Lastly, academicians must equip themselves with emotional intelligence to cope with stressors.

• Asia pacific journal of information systems
• /
• v.30 no.4
• /
• pp.719-740
• /
• 2020

The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.