• Journal of Distribution Science
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• v.4 no.2
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• pp.81-106
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• 2006

The value of Its visitors is very important factors on selection of a Spa & Resort. The first detailed purpose of this paper is to analyse the differences of select behaviors of a Spa & Resort according to the types of values of the visitors. The second aim is to conduct a research on the characters of select behaviors of the visitors. The third aim is to analyse the degree of satisfaction of the visitors, re-visitation and the intention of recommendation. The fourth purpose is to provide useful materials on analysis about the values of the visitors at various Spa & Resorts and to trigger dramatic effect of recuperation, relaxation with its visitor's needs met, the maximum of hotel's management profit at Spa & Resort's area and programs to activate the region's economy. Factor Analsis Routine of SPSS Windows Version 10.0 was applied to accomplish the issues of the study. The Applied analysis by research process are as follows; This paper applied Frequency analysis to figure out interviewee's demographic characters and various using types of the visitors, using their experience of visiting, Select influence, Visiting period, Accommodation they use, Accompanyist, Costs, Season, Transportation, The necessary time. This paper showed important correlation between the visitors' select attributes and behaviors after using it, between their personal value and behaviors after using it, between their individual value, motive of use and their select behavior of destinations. In accordance with it, Managers or developer of a Spa & Resort should make a plan after a sufficient review of the visitors' individual value. The visitor's value is changing continuously according to the change of spatial, occasional environment and should be assessed by those changes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.77-90
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• 2023

This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.

• Information Systems Review
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• v.10 no.3
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• pp.1-20
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• 2008

Under the rubric of the new economy, a wide variety of economic and social phenomena have been identified and discussed since the 1990's. Most of the observations in the literature on the new economy are fragmented, casual, and anecdotal, not compiling to a whole picture of what the new economy is really about. Therefore, this study attempts to provide e-commerce companies with a better, more systematic understanding of the new economy and new economy phenomena as well as the implications of them in order to help them develop more effective business strategies. To provide a better understanding of the new economy phenomena, this article adopts system perspective as an overarching frame of reference for analysis. The systemic characteristics and behavior of the new economy is sought in five generic aspects of a system; 1) what are the entities that comprise the system, and how are they related to one another?; 2) how does the system function?; 3) what are the goods and services (output) that are generated and flow in the system?; 4) what is the value of those goods and services?; and 5) what are the collective, systemic quality and attributes of the system? Based upon the review and categorization, some essential characterizations are made for the five system aspects of the new economy. Such characterizations are interpreted as collectively enunciating the systemic characteristics and behavior of the new economy. The implications of the systemic under-standing of the new economy for business and firm strategy are discussed and some future research is suggested.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.975-983
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• 1998

In these days, information communication systems are based on both open distributed computing technologies and object-oriented techniques like inheritance, encapsulation and object reuse to support various system configuration and application. As information systems are interconnected through unsecure networks, the need for the secure information exchange is more critical than before. In this paper, we have designed and implemented a transparent CORBA-basce Security infrastructure with authentication, security context association, access control and security information management to support a secure applications in distributed object environment. SESAME Ver. 4 was adopted as an external security service to manage user privilege attributes and to distribute keys for data encryption, decryption and integrity. Using filter and transformer with an interface to Object Request Broker, it provides a transparent security service to applications. The filter objects are special classes that allow additional parameters to be inserted into messages before they are sent and removed just after they are received. The transformer objects are special classes that allow direct access to the byte stream of every messages for encryption and decryption before it is sent and just after it is received. This study is to implement the access control interceptor(ACI) and the secure invocation interceptor(SII) of secure ORB defined in CORBA using filter and transformer.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.157-163
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• 2016

With the rapid expansion of smart-phone based brand app and its marketing implementations, the marketers stake much resources in the success of brand apps so that they are able to reinforce the user satisfaction and intention for repeat use. The purpose of this paper is to understand the characteristics underlying the brand applications and to analyze the usage and attitudes of the users. Self-administered survey on the research variables for respondents of 20-49 age group was conducted and the results as follow. The results are as follows the consumers are more satisfied with its usefulness, entertainment, and design attributes of the brand app. They tend to keep using a brand app that contains useful contents and great entertainment elements. Marketers thus need to reflect those elements when developing and distributing a brand app in order to meet the needs of their customers. The study results would help marketing firms find new competitive edges by providing basic insight for new competition strategies for brand app development.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.3
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• pp.104-115
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• 2014

A levee is defined as an man-made structure protecting the areas from temporary flooding. This paper suggests a methodology for establishing the levee GIS database using the airborne topographic LiDAR(Light Detection and Ranging) data taken in the Nakdong river basins and the WAMIS(WAter Management Information System) information. First, the National Levee Database(NLD) established by the USACE(United States Army Corps Engineers) and the levee information tables established by the WAMIS are compared and analyzed. For extracting the levee information from the LiDAR data, the DSM(Digital Surface Model) is generated from the LiDAR point clouds by using the interpolation method. Then, the slope map is generated by calculating the maximum rates of elevation difference between each pixel of the DSM and its neighboring pixels. The slope classification method is employed to extract the levee component polygons such as the levee crown polygons and the levee slope polygons from the slope map. Then, the levee information database is established by integrating the attributes extracted from the identified levee crown and slope polygons with the information provided by the WAMIS. Finally, this paper discusses the advantages and limitations of the levee GIS database established by only using the LiDAR data and suggests a future work for improving the quality of the database.

• Korean journal of food and cookery science
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• v.30 no.1
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• pp.41-50
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• 2014

The purpose of this research was to exam the recognition and use for traditional Korean liquors and to consider the problems of traditional liquor businesses and the plans for its popularization. This study was conducted with 411 adults of 20 years old and above, all of whom lived in the Daegu and Gyeongbuk Provinces. According to the survey, females were higher than males(49.6%) by 50.4%, and ages 20 was the highest. With regards to what kind of liquor they enjoyed, the consumers enjoyed soju the most, followed by beer and traditional Korean liquors. The favorite liquor of the men was soju, followed by beer and traditional Korean liquor, and the women mostly liked beer, followed by soju and wine. An important-performance analysis (IPA) was performed for 17 attributes of traditional Korean liquor and identified the targets for product management strategies, including 'Variety', 'Functionality', 'Extended Recognition' and 'Healing hangovers'. The recognition of traditional Korean liquor was high in the order of takju, Fruit wine, Chongju, Yakju, Distilled soju, and Distilled liquor. As a result, the developing solid concepts of marketing strategy are required and may be achieved by understanding the consumer preferences and demands of traditional Korean liquors.

• Culinary science and hospitality research
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• v.17 no.3
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• pp.20-32
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• 2011

The purpose of this study is to analyze customers' behavior in using word-of-mouth(WOM) information about Korean local food restaurants. The questionnaire developed for this study was distributed to 500 customers living in Jeonbuk area and a total of 455 copies (91.0%) were used for analysis. The statistical analysis was conducted using SPSS Win(12.0). The results were summarized as follows. The recommendation of people experienced'($M=3.57{\pm}1.24$) and 'word-of-mouth through people around'($M=3.52{\pm}1.20$) were major word-of-mouth information sources of Korean local foods; 'taste of food'($M=4.16{\pm}1.15$) and 'service quality'($M=3.79{\pm}1.11$) were important attributes in word-of-mouth information. In addition, to the question about the reasons for recommending the restaurant to the people around, the most people replied that 'flavor, nutrition and quality of local foods can be kept only in the specific location' ($3.53{\pm}1.08$), followed by 'to keep the memory of the visit to the areas in mind through local foods'($3.51{\pm}1.03$). These results showed that people usually recommend a restaurant based on the quality of the food itself or local characteristics. As a result, it is deemed that word-of-mouth effect is an important factor for the spread of Korean local foods.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.89-102
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• 2006

The purpose of this paper is to develop a dynamic OD estimating model to overcome the limitation of depicting teal situations in dynamic simulation models based on static OD trip. To estimate dynamic OD matrix we used the hybrid discrete choice model(called the 'Demand Simulation Model'), which combines travel departure time with travel mode and travel path. Using this Demand Simulation Model, we deduced that the traveler chooses the departure time and mode simultaneously, and then choose his/her travel path over the given situation In this paper. we developed a hybrid simulation model by joining a demand simulation model and the supply simulation model (called LiCROSIM-P) which was Previously developed. We simulated the hybrid simulation model for dependent/independent networks which have two origins and one destination. The simulation results showed that AGtt(Average gap expected travel time and simulated travel time) did not converge, but average schedule delay gap converged to a stable state in transportation network consisted of multiple origins and destinations, multiple paths, freeways and some intersections controlled by signal. We present that the hybrid simulation model can estimate dynamic OD and analyze the effectiveness by changing the attributes or the traveler and networks. Thus, the hybrid simulation model can analyze the effectiveness that reflects changing departure times, travel modes and travel paths by demand management Policy, changing network facilities, traffic information supplies. and so on.

• Korean Journal of Food Science and Technology
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• v.49 no.1
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• pp.72-79
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• 2017

This study was conducted to investigate the effects of a low-sodium label on acceptability and sensory attributes of a dipping sauce for fried pork cutlets. Two sauce samples, CON (normal sodium level) and LOW-Na (50% sodium level), were evaluated. Consumers (n=77) rated expectations and actual perception of overall liking, purchase intent, and intensities of saltiness, sweetness, sourness, fruit flavor, and degree of flavor balance without and with a carrier (fried pork cutlet) in blind and informed settings. In the informed test, CON labeled as Low-Na (PLACEBO) was additionally tested to examine the placebo effect of information. The low-sodium labeling significantly increased the expected liking and purchase intent, but decreased the expected saltiness. However, the label did not influence actual liking or purchase intent. A significant decrease in actual saltiness was observed only in Low-Na, not in PLACEBO, indicating the label is influential only when actual perception matched the expectation.