• Journal of the military operations research society of Korea
• /
• v.29 no.1
• /
• pp.76-87
• /
• 2003

This paper proposes that we need a simpler method for developing the Website strategy for public institutions. The research objectives are threefold: (1) A model that relates to the monitoring of Website strategy in the public sector is proposed. The model includes basic dimensions and a $2{\times}3$ matrix that is a simplified version of the Mohammed et dl.s Marketspace Matrix. (2) The model is tested empirically with a sample of 56 Websites selected from govemment agencies, military organizations and police stations in Korea. (3) The effect of dimension/factors on the innovation level is tested. A special attention is paid to online attracting that is important for public institutions which usually do not use offline advertising aggressively. Results from regression analyses show that main dimensions (Marketing Drivers and relationship Stages) and three factors (Basic Information, Support Information, and Participation) in the matrix are all significantly influential on the innovation level, but the Attracting is not. Colorful designs and attracting features of a homepage have not necessarily anything to do with innovation. This message can offer a good piece of advice for managers of Websites.

• Journal of Global Scholars of Marketing Science
• /
• v.7
• /
• pp.127-146
• /
• 2001

Attitude toward the advertising is widely used in studies of traditional mass media advertising. As internet marketing becomes more important, attitude toward the website will gain parallel status in evaluating effectiveness. And also, studies on relationship among attitude toward the website, attitude toward the advertising, attention to the commercial, attitude toward the brand, & purchase intention was needed. This study sets a hypothetical model about the relationship among attitude toward the website, attitude toward the advertising, attention to the commercial, attitude toward the brand, & purchase intention. And to testify this model, 10 hypotheses were set. The results of the analysis, all variables were related significantly.

• Journal of Digital Convergence
• /
• v.9 no.5
• /
• pp.253-263
• /
• 2011

In this study of the domestic high school and middle school students to use the online education-website to measure the quality of service between SERVPERF model and the KS-SQI model fits which were analyzed further. Analysis using AMOS 7, SERVPERF for measuring quality of service reliability, responsiveness, assurance, empathy and tangibility, was a measurement model. KS-SQI for primary needs fulfillment, unexpected benefit were performance dimensions, reliability, individual empathy, positive assistance, accessibility and media tangibility, consist of process dimension was measured. In comparison of two models, the KS-SQI model on a path analysis showed better in terms of model fit indexes.

• Journal of Service Research and Studies
• /
• v.1 no.1
• /
• pp.49-60
• /
• 2011

Recently, with the growing of social network sites, people's choice is also getting more and more. So the notion of loyalty has become an important construct within the Social Network framework because of member is easy switching on the social networking sites. Despite the increasing importance of social network sites loyalty question, there's very little research in this area. In electronic commerce, the website loyalty development process is based on both website satisfaction and website trust toward the net-enabled business. But how to target the members with high or low loyalty in the social network sites is still a question. In this paper we propose one improved RFM model to evaluate the member loyalty to find the potential members for improving the service quality of the social network site. In addition, an empirical case study is performed to demonstrate how this procedure works. Moreover, further applications of this research are provided for improved social network sites experiences and how to use the model to practice.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.69-75
• /
• 2019

In recent years, with the development of IT technology and mobile communication, the powerful communication function of the Internet will gradually eliminate the information asymmetry between supply and demand, and the third-party review website emerges as The Times require. Dianping.com was founded in 2003. After a few years of development, it has become an independent third-party consumer review website worldwide. One of the reasons for such great success is corporate culture, which plays an important role in human resource management. The competition of enterprises is not only the competition of products and cost advantages, but also the superior enterprise culture presented to customers in the international environment. The competition between third-party review sites has been very fierce. In just a few years, many foreign third-party review websites went public and made profits, but some domestic start-ups went bankrupt due to the lack of a good business model and corporate culture. A good business model is particularly important. Taking dianping.com as the research object and combining with the business model of the company, this paper studies the unique corporate culture of dianping.com, hoping to help the company through the investigation and research of this paper, so as to improve the company in the future. And put forward a certain practical significance and value.

• Economic and Environmental Geology
• /
• v.56 no.1
• /
• pp.65-73
• /
• 2023

As one of the most vulnerable countries to floods, there should be an increased necessity for accurate and reliable flood forecasting in Indonesia. Therefore, a new prediction model using a machine learning algorithm is proposed to provide daily flood prediction in Indonesia. Data crawling was conducted to obtain daily rainfall, streamflow, land cover, and flood data from 2008 to 2021. The model was built using a Random Forest (RF) algorithm for classification to predict future floods by inputting three days of rainfall rate, forest ratio, and stream flow. The accuracy, specificity, precision, recall, and F1-score on the test dataset using the RF algorithm are approximately 94.93%, 68.24%, 94.34%, 99.97%, and 97.08%, respectively. Moreover, the AUC (Area Under the Curve) of the ROC (Receiver Operating Characteristics) curve results in 71%. The objective of this research is providing a model that predicts flood events accurately in Indonesian regions 3 months prior the day of flood. As a trial, we used the month of June 2022 and the model predicted the flood events accurately. The result of prediction is then published to the website as a warning system as a form of flood mitigation.

• Management & Information Systems Review
• /
• v.32 no.5
• /
• pp.19-43
• /
• 2013

The diffusion of new technology has traditionally focused on the adoption perspective. Researchers refer this use-diffusion paradigm to behaviors of use after adoption. This study intends to analyse the influential factors of use-diffusion and continual use of website and applications in medical service. To achieve this a use-diffusion model as a conceptual frame work is suggested. Medical information quality, personal innovativeness and subjective norm are assumed as antecedent variables medical website and application's rate of use, variety of use, and continued use intention as result variables. According to the empirical study results medical information quality, web based application usability, personal innovativeness, and subjective norm have a meaningful influence on medical service consumer's use-diffusion patterns. Also pattern of use influences the continued use intention. This study provides an opportunity to understand medical service consumer's behavior after website and application use adoption and suggests further directions for establishing medical service online marketing strategy by determining influential factors of use-diffusion and continued use of medical online marketing tools.

• The Journal of Society for e-Business Studies
• /
• v.12 no.1
• /
• pp.41-71
• /
• 2007

Researchers have continuously investigated the issues of customer satisfaction, customer loyalty, and repurchase intention of customers in Internet shopping malls, a fast growing e-bisiness model in Korea. At present, most Internet shopping malls in Korea offer similar services to their customers. This has caused intense industry competition, and the Internet shopping malls have made significant investments into their websites in order to remain attractive to their customers. This research examines the relationships among website charateristics, customer satisfaction, loyalty, and repurchase intention. Website characteristics include context, commerce, connection, communication, contents, community, and customization. We have used data from a field study of 662 individuals to test the proposed model. The results of this research show that among the 7 website characteristics, context, communication, content, and commerce are the significant determinants of customer satisfaction. In turn, customer satisfaction increases customer loyalty and repurchase intention. These findings have important theoretical and practical implications, which are discussed in the paper.

• Journal of Distribution Science
• /
• v.18 no.3
• /
• pp.5-14
• /
• 2020

Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

• Korean Management Science Review
• /
• v.21 no.2
• /
• pp.123-143
• /
• 2004

Internet shoppers interact with Internet shopping mall systems while they shop. To understand why Internet shoppers make purchase, this study view Internet shopping malls as information systems. Although this view point seems reasonable, little previous studies employing this perspective are found in the relevant literature. This study develops a research model where Internet shoppers' transaction intentions are affected by the mediating effects of trust and satisfaction. Trust can mitigate uncertainty of the e-commerce environment for consumers, and satisfaction is widely used to measure the effectiveness of information systems. Therefore, we consider them as key elements in this study. We further employ the construct of website quality to explain why shoppers have different levels of trust and satisfaction. We classify website quality into information quality, system quality. and design quality. We collected 282 survey responses from Internet shoppers who have prior experiences with Internet shopping malls to purchase a product or service. The survey data are used to empirically test the proposed nine research hypotheses using LISREL. The LISREL results indicate that information quality and design quality have significant impact on both satisfaction and trust, while system quality has little relation to trust level. Further, trust is shown to have significant influence on satisfaction. Finally. both trust and satisfaction is strongly related to the future transaction intention.