• Journal of the Korean Society of Food Science and Nutrition
• /
• v.37 no.7
• /
• pp.942-952
• /
• 2008

The purpose of this research was to evaluate the quality of take-out services at restaurants in Chungbuk Province. A questionnaire survey by 450 customers who had experience in take-out service at the restaurants was conducted and 378 completed questionnaires were available for statistical evaluation. Statistical analyses were made of raw data by SAS V8.2. The scale for analyzing the importance and performance of the service quality was composed of 5-point Likert scales. The main results of this study are as follow: The quality attributes of take-out service were rearranged into four factors in terms of food, sanitation, access and service. The importance score was higher than performance score. IPA showed that 'freshness of food material', 'cleanliness and hygiene in food', 'sanitation of facilities', 'neatness of employees' and 'price in food' was included in 'focus here' area. There was significantly positive correlation between factors such as food, sanitation, access, service and overall customer satisfaction (p<.001); between factors and repurchasing intentions (p<.001); and between customer satisfaction and repurchasing intentions (p<.001). According to multiple regression analysis, 26.27% of the variance in respondents' overall satisfaction score and 9.21% of the variance in respondents' repurchasing intention score could be explained by factors such as food, sanitation, access and service.

• Journal of Korea Port Economic Association
• /
• v.34 no.1
• /
• pp.111-132
• /
• 2018

As China continues to evolve as a major economic power and the Free Trade Agreement (FTA) between the Republic of Korea and China was ratified on June 1, 2015, market volume between the two countries is expected to grow more rapidly. This study aims on improving the efficiency of car-ferry lines. We conducted two surveys- for shippers and forwarders of car-ferry companies, and container liners. The study analyzes the decision factors for delivery companies and their importance for shippers and forwarders of car-ferry companies and container liners. Based on analysis of prior studies on the competition for car-ferry companies and liners, three primary variables are selected-promptness, economics, and safety. The promptness variable consists of shipping time, loading/unloading time, and customs clearing time. The economic variable consists of marine transportation cost from a domestic harbor to China, loading/unloading cost in the harbor, and overland transport cost from the harbor to shippers inland. Finally, the safety variable consists of cargo damage rates, safety facilities, such as lashing and shoring, and punctuality of transportation time. The survey and AHP results show that the promptness, safety, and economics factors are 0.549, 0.309, and 0.142 in the shipper groups of car-ferry companies' category, respectively. It indicates that there is considerable difference in the importance of each factor. In contrast, the factors are 0.350, 0.348, and 0.302 in the forwarders category, which suggests that there is little difference in each factor's importance. As for shippers and forwarders of liners, the importance of each factor is found to be in the following order: economics, safety, and promptness.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.1
• /
• pp.52-63
• /
• 2015

Business facilities among domestic architectures have rapidly been constructed along with domestic economic development. It is an important facility taking the second largest proportion next to apartment buildings among current 31 building types of fire department classification of 2012 year for urban architectures. The expected service life of business facilities is 15 years, but 70% of those in urban areas have surpassed the 15 year service life as of the present 2014. Thus, the demand for urgent rehabilitation of such facilities is constantly increasing due to the aging and performance deterioration of the facilities'main finishing materials. Especially, the business facilities are being used for the lease of company office or private office, and such problems as aging and performance deterioration of the facilities could cause less competitive edge for leasing and real estate value depreciation for the O&M (Operation & Management) agent and the owner, respectively. Therefore, an effective planned rehabilitation as a preventive measure according to the standardized repair rate by the number of years after the construction is in need in order to prevent the aging and performance deterioration of the facilities(La et al. 2001). Nonetheless, domestic repair/rehabilitation standards based on the repair rate are mainly limited to apartment buildings and pubic institutions, resulting in impractical application of such standards to business facilities. It has been investigated and analyzed that annual repair rate data for each finishing material are required for examination of the applicability of the repair rate standard for the purpose of establishment of a repair plan. Hence, this study aimed at developing a repair rate computation model for finishing materials of the facilities and verifying the appropriateness of the annual repair rate for each finishing material through a case study after collecting and analyzing the repair history data of six business facilities. The results of this study are expected to contribute to the planning and implementation of more efficient repair/rehabilitation budget by preventing the waste of unpredicted repair cost and opportunity cost for the sake of the business facilities' owners and O&M agents.

• Journal of Intelligence and Information Systems
• /
• v.16 no.3
• /
• pp.99-120
• /
• 2010

Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.7 no.4
• /
• pp.21-32
• /
• 2012

The current beauty service of Korea is upgrading its outside appearance from traditional small-shop image and its speed of change and competition are more severe than ever before. The top priority trait of beauty management is based on man-power resource, and personnel-management is the most important thing that more than anything else. Compared with other arenas of business, personnel management plays a key role in beauty industry. As a result, this research begins with the issue of personnel management. In addition, I will show that the management leadership of beauty service affects organization civil actions and changing jobs in the beauty industry employees, and the leadership can lower changing job rate to some extent. The role and duty of business manager is very significant because the dependence of man-power resource is magnificent in beauty service. In spite of rapid changing of economic surroundings, the management of beauty service is still working without any detail plans. It is no exaggeration to say that the most of beauty service managers are lack of leadership conception. Although the demands of customers are changing everyday, the frequent changing of jobs among talented employees drops customers credibility and high-quality service. From a management viewpoint, re-training cost of employees leads to economic loss and the company suffers from financial problems. As a result, it creates vicious circle in the beauty industry. Today, the management atmosphere in the beauty service is hard to get its right track because of the cutthroat competitions of beauty industry and difficulties of hiring promising employees. It has been said that "Nothing ventured, Nothing gained" Above all, the beauty service requires job speciality and it produces economic profits. Therefore, the managers desperately need to change the way they regard those with job changers. In this research shows the principal index of the leadership type of beauty business managers how much affects its employees' long-term working condition. The new concept of leadership, such as alternative suggestions, setting goals, and organization civil action will reorganize the stereo-type frame. I will also investigate the factors of job changing and intention of the beauty service employees for the development option of the beauty industry.

• KSBB Journal
• /
• v.23 no.1
• /
• pp.1-7
• /
• 2008

The world demand of ethanol as an alternative fuel for gasoline is increasing rapidly because of high oil price and global climate change. Most of ethanol is currently produced from corn grain or sugars in sugarcane and sugar beet. Because these sources compete with foods and animal feed and are not expected to be enough for future demand of ethanol. Thus, cellulosic ethanol from agricultural residues or wood has to be commercialized in near future. Typical cellulosic ethanol production consists of pretreatment, enzyme hydrolysis, fermentation and product separation. This paper reviews the principles and status of each step and discusses issues for cellulosic ethanol production.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.12
• /
• pp.5819-5826
• /
• 2011

Recently in the dental world, competition in the medical industry has been intensified due to the prolonged economic stagnation, the quantitative expansion of medical institutions, the enhancement of medical consumers'awareness of rights, and the diversity of medical consumer needs. Dental institution management of the difficulties is the requirement for dental institution to ensure competitiveness. So Word-of-Mouth marketing, which creates high marketing effectiveness with low cost, needs to be actively utilized as a new alternative to mass communication marketing. This research is to accurately grasp the target group of dental medical marketing activities through research on the degree of customer loyalty and Word-of-Mouth effects according to character trait of the patients visiting dental clinics, and to present the basic data for Word-of-Mouth marketing strategies from a viewpoint of practical business through presenting Word-of-Mouth promotion factors. To achieve this, questionnaire survey was conducted on 10 dental clinics located in Daegu for 4 weeks from April 11, 2011 to May 6, 2011 and 612 copies of responses to the questionnaires for final data for analysis were obtained. The results of the analysis are as follows. There were no significant differences in the degree of customer loyalty according to character trait of the subjects between the introverts and the extroverts, and the subjects with high market mavens propensity were found to show high degree of customer loyalty (F=5.243, p=.006). In the differences in Word-of-Mouth effectiveness according to character trait, there were greater differences in Word-of-Mouth experiences in the extrovert subjects ($x^2$=6.738, p=.006) and the subjects with high market mavens propensity ($x^2$=17.251, p=.000). The results of this research clarifies the degree of customer loyalty according to character trait of the patients visiting dental clinics and the differentiated influences of Word-of-Mouth effectiveness, and through this, they will become basic data for presenting ways to establish strategies from the viewpoint of practical business that should be considered in establishing dental medical marketing strategies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.2
• /
• pp.215-235
• /
• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Journal of the Economic Geographical Society of Korea
• /
• v.2 no.1_2
• /
• pp.145-167
• /
• 1999

The aim the this paper is to explore the processes of three Korean consumer electronics chaebols'entries into, and exits from tile EU in the context of European integration and enlargement and at the global, regional(EU), national and local level. Korean FDI in the EU has increased sharply since the late 1980s, while interacting with the processes of European integration and enlargement. In particular, the chaebols'FDI was caused by reactions against the intensification of Euro-trade regulations. As a result, these defensive entries have led such chaebols to create a strategy of ‘defensive Europeanisation’through the formation of forward and backward linkages between chaebols’affiliates and Korean suppliers within the EU. Nonetheless, defensive FDI has given rise to exits through active relocation within and outside the EU, since the ‘late 1980s’due in the main to (1) sensitive reactions against changing EU trade regulations and (2) failures to maintain cost-competitiveness in particular host regions. Along with these trends, chaebols’entries and exits are placed in contingent and paradoxical structures of the global -regional - national-local nexus, which has resulted from the mismatch of different EU policies such as trade, inward investment and regional policies.

• Journal of Environmental Policy
• /
• v.11 no.3
• /
• pp.149-170
• /
• 2012

The United Nations Climate Change Conference, Durban 2011, ended on December 12, 2011, 36 hours over its schedule, delivering the Durban Package, which consisted of, inter alia, the extension of the period for Kyoto Protocol term and the launch of Ad-hoc working Group on the Durban Platform for Enhanced Action. Despite the positive progress made in Durban, the future of post-2012 climate regime still seems cloudy. Before the Durban conference, some of Annex I countries with emissions reduction commitment under the Kyoto Protocol's first commitment period openly declared their intention not to participate in the second one, reducing the effectiveness of Durban agreement. Parties to the conference have a long list of difficult issues disturbing the materialization of the new legal agreement in 2020 such as level of mitigation targets of individual countries and legal nature of their commitment. Given this uncertainty, the Korean government should reinforce its domestic climate policies rather than settling in the fact that it remains as a non-Annex I county party under the Durban Agreement due to the extension of the Kyoto Protocol period. Domestically, it needs to continue to raise the public awareness for rigorous climate policies to transit its economy to low carbon pathway which reduces the country's dependency on fossil fuel in the long term. It is also important to implement cost effective climate policies to cope with domestic resistance and international competitiveness. Internationally, its priority would be working for trust-building in the on-going negotiation meetings to encourage meaningful participation of all parties.