• The Journal of Information Technology and Database
• /
• v.6 no.1
• /
• pp.103-114
• /
• 1999

Marketing decision support systems rely on an underlying enterprise information infrastructure. In traditional business situations, a limited number of product lines and markets divided into large chunks were adequately served by existing management information systems. With the advent of an increasingly segmented focus on niche markets and individual customers, the demand for market information has grown exponentially. The practical solutions offered by such data warehousing tools as OLAP and data mining directly address this need, allowing organizations to discover new niches. Marketing decision support systems built on these foundations provide organizations with new avenues for creating specifically targeted marketing strategies and promotional campaigns. The contribution of this article lies in introducing a graphical framework for data warehousing applications. Based on prior research, the framework links data warehousing and database marketing. To illustrate the effectiveness of this approach, three case examples of successful database marketing conclude the paper.

• The Journal of Information Technology and Database
• /
• v.6 no.1
• /
• pp.89-101
• /
• 1999

Increasing number of companies recognize that the understanding of customers and their markets is indispensable for their survival and business success. The companies are rapidly increasing the amount of investments to develop customer databases which is the basis for the database marketing activities. Database marketing is closely related to data mining. Data mining is the non-trivial extraction of implicit, previously unknown and potentially useful knowledge or patterns from large data. Data mining applied to database marketing can make a great contribution to reinforce the company's competitiveness and sustainable competitive advantages. This paper develops the classification model to select the most responsible customers from the customer databases for telemarketing system and evaluates the performance of the developed model using LIFT measure. The model employs the decision tree algorithm, i.e., CHAID which is one of the well-known data mining techniques. This paper also represents the effective database marketing strategy by applying the data mining technique to a credit card company's telemarketing system.

• 한국경영정보학회:학술대회논문집
• /
• 2007.11a
• /
• pp.565-570
• /
• 2007

With e-commerce becoming international, understanding the effects of national culture in consumer acceptance of e-commerce is required. This study examines consumer e-commerce acceptance in Korea and China. The research model consisting of perceived usefulness, perceived ease of use, trust and perceived risk was proposed, and the hypotheses based on Hofstede's cultural dimensions of power distance, individualism/collectivism, masculinity/femininity, uncertainty avoidance and long-term orientation, were established. The results show that perceived usefulness contributes less to consumer acceptance of e-commerce in China than it does in Korea. In addition, perceived ease of use contributes more to consumer acceptance of e-commerce in China. Trust contributes significantly to consumer acceptance of e-commerce in both countries, but perceived risk didn't influence consumer acceptance of e-commerce in either country. The contribution of this study is to provide strategic insights for successfully managing cross-cultural e-commerce.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.41 no.2
• /
• pp.1-16
• /
• 2016

Yield management, which originated from the U.S. service industry, uses pricing techniques and information systems to make demand management decisions. Demand uncertainty is an important factor in the area of demand management. A key strategy to reduce the effects of demand uncertainty is substitution. The most generally known type of substitution is inventory-driven substitution, in which consumers substitute an out-of-stock product by buying a similar or other type of product. Another type of substitution is the price-driven substitution, which occurs as a result of price changes. In this research, we consider two market segments that have unique perishable products. We develop yield management optimization models with stochastic demand based on the newsvendor model where inventory-driven and price-driven substitutions are allowed between products in the two market segments. The most significant contribution of this research is that it develops analytical procedures to determine optimal solutions and considers both types of substitution. We also provide detailed theoretical analysis and numerical examples.

• Management Science and Financial Engineering
• /
• v.11 no.2
• /
• pp.61-84
• /
• 2005

This paper considers a special case of the two-dimensional bin-packing problem for identical items. The objective of this work is to maximize the space utilization. The main contribution of the paper is to suggest a new heuristic algorithm keeping in view the existing complexity of racking system for the footwear boxes in the compartments of different sizes for a warehouse. The results show that a significant improvement can be obtained. An economic choice of compartments is also estimated using the criteria for maximizing space utilization. A non-linear mathematical model was presented based on the constraints of racking dynamics.

• Knowledge Management Research
• /
• v.11 no.2
• /
• pp.1-16
• /
• 2010

Despite the well accepted necessity and importance of knowledge management, cases of successful knowledge management are not easy to find. With a case study of a Korean organization, this research introduces an integrated knowledge management model, in which knowledge and work processes are combined to improved knowledge performance. Knowledge-work process integration facilitates knowledge asset creation, transfer, and utilization, through which inefficiencies in knowledge utilization may be removed and knowledge contribution to business performance may be enhanced. Knowledge-work process integration may further be aligned with innovation processes, enabling systematic and continuous knowledge based process innovation.

• Knowledge Management Research
• /
• v.11 no.2
• /
• pp.37-56
• /
• 2010

Nowadays many companies expect to apply knowledge management mechanism for the explicit business performance improvement. Because peoples who employees are the understanding of knowledge contribution in the organization should try to achieve goal through the effective knowledge management activities. The purpose of this study is to examine the effect of major factors to support the performance of knowledge management in the company by using structural equation modeling. From the empirical result of this study with 485 leading corporation in Busan, we came to know that the infrastructure of knowledge management has influence on knowledge sharing and creating mechanism related to knowledge management activities. And, the knowledge management activities has positive influence on internal and external customer' satisfaction, and firm's social responsibility.

• The Journal of Information Systems
• /
• v.18 no.3
• /
• pp.251-276
• /
• 2009

Maintaining online services of high quality has become a crucial factor for brokerages to gain competitive advantages. Because of the attributes of the product uniformity of online trading, online brokerages have grown significantly with IT development, since the early 2000s. Now, as the online trading business gets mature, the profitability of the IT investment and the quality of IT-based services became questioned. This study examines the issues of IT investment and its contribution by analyzing the relationship between the quality of online service and IT investment. In addition, it also investigates the relationship of the quality of online services and profitability of brokerage. Our results show that IT investment draws cubic-style, curvilinear relationship with the service quality of online trading and only high quality services can lead to the increase of profitability.

• The Journal of Information Systems
• /
• v.23 no.3
• /
• pp.73-97
• /
• 2014

Internet has begun various transformation and innovation in terms of society, culture and industry. Today, Social Network Service(SNS) is an exceedingly popular and useful tool for making human relationships. Previous studies related to SNS, which based on Technology Acceptance Model(TAM), were focused on user acceptance of new technology. However, they had the limitations to focus on technology acceptance, without the consideration of the cognitive factors in using SNS. This study examined how the main factors of intention to use of SNS continuously affect perceived usefulness and ease of use through familiarity, self-expression, hedonic shopping value, utilitarian shopping value and personal relationship. The results of hypothesis testing showed that familiarity, self-expression, hedonic shopping value and personal relationship have some positive impacts on the perceived usefulness and ease of use. The practical contribution of this study is to suggest useful decision alternatives concerned to marketing strategies for acquiring and retaining long-term customers related to SNS business.

• Journal of Distribution Science
• /
• v.13 no.10
• /
• pp.5-13
• /
• 2015

Purpose - This study aims to suggest appropriate policies and performance indicators for financial aid recipients. It analyzes the existing regular government policy funds support project, especially its propriety and reasonability. Research design, data, and methodology - When financial aid is effective, it should be able to predict small enterprise business results. Additionally, there should be an evaluation, checking before and after performance rates so that the rate of achievement and outcome can be measured. This study's contribution for small enterprises is in researching the best way to improve this support system. Results - The Small Enterprise and Market Service (SEMAS), currently designated as a support organization for implementing the government financial aid project, has assessment indicators. However, these focus mainly on quantitative indicators and survey results. Conclusions - In the future, there is some need to draw up measures, setting the right direction for developing policies for the small enterprise fund loans and improving the management of the plans. Eventually, this effort will dispel concerns about the present support policy, which is considered to be weakening small enterprises.