• Journal of the Korean Society for information Management
• /
• v.23 no.2
• /
• pp.129-145
• /
• 2006

This paper is studied in order to develop the models that are appropriate for the procurement of electronic books at the school libraries. To develop the model, the following factors were reviewed: the characteristics of an electronic book, the factor analysis that affect the electronic book price, use case, environment, the role of government for the price decision model and procurement method. The models were proposed based on the above analysis and review. In addition, the proposed models reflect various opinions that the school libraries can apply.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.549-556
• /
• 2020

Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

• Industrial Engineering and Management Systems
• /
• v.9 no.3
• /
• pp.227-241
• /
• 2010

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

• The Journal of Information Systems
• /
• v.17 no.3
• /
• pp.111-134
• /
• 2008

As students can purchase textbooks online or from local bookstores, we proposed a model to study the predictors of textbook purchasing from online bookstores based on the theory of reasoned action (TRA) and technology acceptance model (TAM). The survey instrument consisted of 51 items to assess 10 constructs of the proposed model, where the items used to measure the constructs were adapted from previous literature. Pre-testing and pilot testing of the measures were conducted by selected users of online bookstores. Data were collected from 220 university students who have purchased and intend to purchase their textbooks from online bookstores. The findings of this research are summarized as follows. First, navigation, previous experience, and innovation have a significant impact on the buyer's perception of ease of use. Second, price and delivery services have a significant impact on the buyer's perception of usefulness. Third, the perception of ease of use also has a significant impact on the buyer's perception of usefulness. Fourth, the perception of ease of use, perception of usefulness, and subjective norms all significantly support the purchasing intention in the case of online bookstores.

• Journal of Korean Library and Information Science Society
• /
• v.10
• /
• pp.157-191
• /
• 1983

The purpose of the study is to build a general cost a counting model for university libraries, to clarify the possible areas of its a n.0, pplication by employing job cost accounting and process cost accounting methods. System analysis is performed as to the fields of acquisition, processing (cataloging & classification), and book shelving system. The existing operation processes and time required for each operation of these three systems are analyzed, from which detailed system flowcharts were drawn and job descriptions and the content of job were identified. The results of the study can be summarized as follows: (1) The processing time of one book in each systems: Oriental books. a. Acquisition system. the time required the time required in case of job cost case of job cost accounting after purchasing, 8 min. 21 sec. the time required in case of process cost accounting 15 min. 7 sec. b. Processing system. the time required for non-duplicate, 34 min. 40 sec. the time required for duplicate, 8 min. 49 sec. the time required for purchasing of more than the time required two copies at a time. 4 min. 44 sec. c. Book shelving system. the time required. 1 min. 43 sec. Western books. a. Acquisition system the required in case of job cost accounting, 9 min. 1 sec. the time required in case of process cost accounting. 15 min. 7 sec. b. Processing system. the time required for non-duplicate, 32 min. 58 sec. the time required for duplicate, 9 min. 26 sec. the time required for purchasing of more than two copies at a time. 5 min. 33 sec. c. Book shelving system. the time required. 1 min. 43 sec. (2) Total sum of processing time and processing cost per book. Oriental books (including material cost) the time required. cost. a. non-duplicate, 51 min. 30 sec. 2, 791 won b. duplicate, 25 min. 39 sec. 1, 580 won c. purchasing of more than two copies as a time, 21 min. 34 sec. 1, 368 won Western books(including material cost) a. non-duplicate, 49 min. 48 sec. 3, 189 won b. duplicate, 26 min. 16 sec. 1, 846 won c. purchasing of more than two copies at a time. 22 min. 23 sec. 1, 388 won

• Journal of Distribution Science
• /
• v.14 no.12
• /
• pp.119-127
• /
• 2016

Purpose - This study has been conducted based on the assumption that technology acceptance for the traditional markets introduce Augmented Reality Technology system into traditional markets in order to increase the influence on consumer purchasing intention. The Augmented Reality Technology system on this study has been carried out by a modeling study based on Davis(1989)'s Technology Acceptance Model (TAM). Research design, data, and methodology - Before starting the research, we inquired previous researches and defined the basic concept for each research with applying some parts of them. By doing this, we were able to find out if the users had perceived ease of use and the feeling of usefulness for the technology acceptance in using traditional markets. As a result, we measured how efficiently those factors could have an influence on traditional market visit. Moreover, we analyzed the result with actual proofs, assuming that such a visiting intention would affect consumers purchasing intention Results - To summarize the results, first, we have found that the necessity for augmented reality technology for traditional markets and its convenience in use can have a positive effect on visiting traditional markets. Second, we have discovered that the feeling of easiness in use, technological usefulness, and its visiting intention for Augmented Reality Technology can positively influence on the users' purchasing intention. Conclusions - By taking advantage of the research results from this study, the technological acceptance for the traditional markets suggests not only a positive impact on the users' visiting traditional markets but also an influence on the users' purchasing intention for the goods that are sold in the traditional markets. The weak point of this study is that it did not have sufficient theoretical explanation for technological acceptance in traditional markets, and it also lacked theoretical research to apply Augmented Reality Technology to the distribution industry. In order to overcome these drawbacks, we have to conduct thoughtful empirical analysis and research. Lastly, we insist that we will have to carefully verify reliability for the questionnaire data collected by the Internet survey panels in the future.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.04b
• /
• pp.244-246
• /
• 2002

The rapid increase of E-commerce market requires a solution to assist the buyer to find his or her interested items. The intelligent agent model is one of the approaches to help the buyers in purchasing items in outline market. In this paper, the user query processing model in the item recommendation agent is proposed. In the proposed model, the retrieval result is affected by the automatically generated queries from user preference information as well as the queries explicitly given by user. Therefore, the proposed model can provide the customized search results to each user.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.7
• /
• pp.1053-1064
• /
• 2010

This study investigates the Korean loungewear market and the traditional culture values of consumers related to loungewear to examine the preference of Korean traditional details, sewing techniques in loungewear design, and purchasing intentions. A survey method was used in this study. A total of 230 self-administered questionnaires were obtained from female consumers and 214 data sets were used for analysis. For the analysis, factor analysis, cluster analysis, and ANOVA were executed with PASW Statistics 18.0 and a structural equation model was estimated by Amos 18.0. The results are as follows. Traditional culture values were classified into two dimensions, traditional succession value and traditional design preference value. In the structure equation model, the traditional design preference value had a significant effect on the preference and the traditional culture succession value had significant effect on purchase intention. The results proved that the preference on loungewear with Korean traditional elements is closely related to purchase intention. Consumer groups were divided into three groups by traditional culture values factor; traditional culture succession group, traditional design preference group, and traditional culture indifference group. Style preference images showed significant differences in relation to traditional culture groups. This study is for use as fundamental knowledge on traditional loungewear brand development and strategy planning by offering specific traditional culture aspects associated with preference and purchase intentions.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.38 no.6
• /
• pp.887-894
• /
• 2018

An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.3 no.4
• /
• pp.9-15
• /
• 2015

The exchange rate is a very important macro variable that has influence on the whole economy and has, therefore, been the topic of many discussions amongst policymakers, academics and other economic agents. The issue of whether to have a fixed, pegged or floating exchange rate regime was highly debated during the 1970s. The purpose of this paper is to investigate what factors determine the exchange rate in Somalia. Quantitative research methodology has been employed to develop regression model using time series data for the period of 12 years. The regression model has been developed based on Quantity theory of money, purchasing power parity and uncovered interest rate parity theory. Somalia is on the countries where the highest exchange rate volatility exists; for example in 2012, the rate jumped 29% percent and two weak later dropped 21%, when Turkish humanitarian aid agencies injected the market a lot of U.S dollar. Based on my study using regression model for time series data of 12 years, the four factors are mainly attributable for the exchange rate volatility of Somalia; these factors include the balance of payment, inflation rate, money supply (mostly come from remittance and NGOs) and Bank profits.