• Title/Summary/Keyword: Business management performance

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Impact of Macroeconomic Factors on Terminal Operators' Profit: Focusing on Global Terminal Operators (거시경제지표가 터미널운영사 재무성과에 미치는 영향 분석: 글로벌터미널운영사 중심으로)

  • Lee, Joo-Ho;Yun, Won Young;Park, Ju Dong
    • Journal of Korea Port Economic Association
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    • v.36 no.1
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    • pp.129-140
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    • 2020
  • In the future, the global container handling market will be reorganized into larger ships and shipping alliances, and the bargaining power of shipping companies will be further strengthened. Therefore, the global terminal operator (GTO), which has a global network, vast experience, and operational know-how, is expected to strengthen its competitiveness. In Korea, the central government promoted the development of GTOs in the mid-2000s, but it failed, mainly due to disagreements between port stakeholders. In this study, the macroeconomic indicators that have the same effect in all regions were used to analyze GTO management performance. In the short term, it could be used to establish the business strategy of domestic terminal operators based on changes in macroeconomic indicators. In the long term, it would be used to establish a promotion strategy for GTOs in Korea. The results of analyzing the impact of macroeconomic indicators on the GTO's profit show that the GTO's profit is significantly affected by cargo handling capacity, the consumer price index of the United States, the Shanghai Composite Index, the Crude Oil Price, and the London Inter-bank Offered Rate (LIBOR). However, the scale of impact was not significantly different between public and private GTOs.

A Study on Customer Perceived Service Quality of Korean Traditional Restaurants in Gyeongju (경주지역 한식당 이용객의 서비스 품질지각에 관한 연구)

  • 성태종;이순애
    • Culinary science and hospitality research
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    • v.10 no.3
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    • pp.97-118
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    • 2004
  • As the economy grows rapidly and the national income level increases, the service industry has become more important and its size gets larger. Especially, the food industry undertakes a continuing growth of consumer expenditures through no nationalization of food, consumers varying patterns of eating out, and individualization. However, it includes many problems with improving service quality towards customers owing to the absence of systems and philosophy to realize customer satisfaction management Therefore, this study conducted a study with Korean traditional restaurant customers to measure their perceived service quality, to verify what factors most influence consumer satisfaction, and to suggest ways to meet the costumer needs by integrating the study results and developing high service quality. To sum up the results of this study, Korean traditional restaurant visitors evaluated three dimensions of service quality overall favorably. Interestingly, background music received a lower level of satisfaction. This implies that the Korean traditional restaurant managers do not do a fine performance in managing music as an ambient element to evoke the atmosphere of the restaurant. Customers showed a lower satisfaction with menu price among the factors measuring product quality. As a result of this study, several suggestions have been made as follows: First, it is necessary for the Korean traditional restaurants to provide systematic employee training to instigate a service culture of customer focus. Secondly, it is important to develop traditional foods using ingredients produced in the region based on a literature review of food in Gyeongju, Silla. Thirdly, it is an urgent task to develop regional menus to revitalize the restaurant business. Fourthly, it is important to provide safety food through systematic sanitary administration. Lastly, it is necessary to limit the number of menu items and attempt specialization of them. Such an attempt with specialized menu items will help their food taste and quality improve and thereby reduce inventory burdens. However, this study has a few limitations. Since this study conducted a survey of the restaurants which provides only Korean traditional food in Gyeongju, not all the restaurants in it, there is a limitation in measuring customer satisfaction with service quality. Therefore, the study results cannot be generalized to all the restaurants in Gyeongju and the nation. Finally, this study suggests that studies on the relationships between customer satisfaction and menu price and customer value system or further customer satisfaction studies with Korean traditional restaurants should be continued.

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A Case Study on Big Data Analysis of Performing Arts Consumer for Audience Development (관객개발을 위한 공연예술 소비자 빅데이터 분석 사례 고찰)

  • Kim, Sun-Young;Yi, Eui-Shin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.286-299
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    • 2017
  • The Korean performing arts has been facing stagnation due to oversupply, lack of effective distribution system, and insufficient business models. In order to overcome these difficulties, it is necessary to improve the efficiency and accuracy of marketing by using more objective market data, and to secure audience development and loyalty. This study considers the viewpoint that 'Big Data' could provide more general and accurate statistics and could ultimately promote tailoring services for performances. We examine the first case of Big Data analysis conducted by a credit card company as well as Big Data's characteristics, analytical techniques, and the theoretical background of performing arts consumer analysis. The purpose of this study is to identify the meaning and limitations of the analysis case on performing arts by Big Data and to overcome these limitations. As a result of the case study, incompleteness of credit card data for performance buyers, limits of verification of existing theory, low utilization, consumer propensity and limit of analysis of purchase driver were derived. In addition, as a solution to overcome these problems, it is possible to identify genre and performances, and to collect qualitative information, such as prospectors information, that can identify trends and purchase factors.combination with surveys, and purchase motives through mashups with social data. This research is ultimately the starting point of how the study of performing arts consumers should be done in the Big Data era and what changes should be sought. Based on our research results, we expect more concrete qualitative analysis cases for the development of audiences, and continue developing solutions for Big Data analysis and processing that accurately represent the performing arts market.

An Analysis of Purchase Behaviors of Department Store Users based on Types of Preference for Luxury Brands (백화점 이용고객의 명품브랜드 선호도 유형에 따른 구매행태 분석)

  • Sun, Zhong-Yuan;Na, Seung-Hwa
    • Journal of Distribution Science
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    • v.11 no.10
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    • pp.5-15
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    • 2013
  • Purpose - With the increase in fervor to purchase luxury brands, new social problems have arisen, such as excessive preoccupation with luxury brands and high preference for forged luxury goods. Therefore, the issues related to luxury brands, termed "Luxury Syndrome," have emerged as an area of great interest for researchers and practitioners. However, previous studies neglect to categorize this preference for luxury brands. Therefore, this study aims to identify the different purchasing behaviors of consumers using the types of luxury brands preferences as parameters. Research design, data, and methodology - This study arranges a causal relationship model assuming that purchase behaviors positively (+) affect typified preference for luxury brands and purchase intentions. We administered a questionnaire survey to the purchasers who bought luxury brands from department stores to secure additional data necessary to verify the hypotheses in this study. We then processed the data using SPSS 19.0. We further analyzed the basic data using frequency and descriptive statistical analysis, and verified the measurement tools through feasibility and reliability analyses. Moreover, this study uses multiple regression analysis to verify the hypotheses. Further, this study tests the path effect between luxury brand purchase attitude and purchase behavior, with non-intrinsic preference and intrinsic preference as the mediating variables. Results - Based on the results, the impact of tendencies of conspicuous consumption and self-monitoring on non-intrinsic preference was significantly positive (+), while the impact of tendencies of pursuit of a reference group, conspicuous consumption, and self-monitoring on intrinsic preference and purchase intentions was significantly positive (+). Further, non-intrinsic and intrinsic preferences positively (+) influence purchase intentions and the impact of non-intrinsic preference took an absolute portion. However, the tendency of dependence on brands negatively (-) impacts purchase intentions. The results showed that self-monitoring and conspicuous consumption tendencies have greater effect on purchase intention, which is mediated by non-intrinsic preference. In contrast, reference group following tendency has a greater effect on purchase intention, which is mediated by intrinsic preference. Conclusions - Based on the results, the study verifies that the consumption of luxury brands in Korea has not yet entered the settling period. The tendency for conspicuous consumption and the tendency for pursuit of the reference group were relatively important aspects for the consumers who prefer luxury brands non-intrinsically and intrinsically, respectively. Especially, it was found that the purchase intentions for forged brands originate from the tendency to depend on brands. Based on these findings, this study suggests the measures to develop and mature the luxury brands market, and reinforce marketing performance at the three levels, that is, government, distributors, and manufacturers. The luxury brands manufacturers should devote themselves to the production and design of products to catch the attention of mature consumers of luxury brands. The luxury brands distributors should then raise the level of Customer Relationship Management (CRM) for opinion leaders. Finally, the Government should prepare effective policies for the development of luxury brands and provide a variety of economic support.

Effects of Fiber Characteristics on the Greaseproofing Property of Paper

  • Perng, Yuan-Shing;Wang, Eugenei-Chen;Kuo, Lan-Sheng;Chen, Yu-Chun
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 2006.06b
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    • pp.231-237
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    • 2006
  • Grease barrier food containers are commonly used for packaging of fast food, cooked food, and food in general. Greaseproofing is also used for certificate paper and label paper etc. Different pulp raw materials, due to their different fiber morphology and chemical compositions, produce papers of varying characteristics. We used optical photomicroscopy and fiber analysis data to evaluate fiber morphology and traits under various beating conditions in order to understand which pulp raw materials produced superior greaseproofing property when a fluorinated greaseproofing agent was added internally. The experiment studied 9 species of pulps, including 2 softwood (northern pine and radiata pine) bleached kraft pulps which were beaten to 550 and 350 mL CSF, respectively; 3 hardwoods (eucalypts, acacia, mixed Indonesian hardwoods) bleached kraft pulps which were beaten to 450 and 250 mL CSF, respectively; and nonwood fibers of reed, bagasse, and abaca. A fluorinated greaseproofing chemical at 0.12% dosage with respect to dry pulp was added to each pulp preparation and formed handsheets. A total of 67 sets of handsheets were prepared, and their basis weights, thickness, bulks, opacities, wet opacities, air resistance, water absorption and degrees of greaseproofing were measured for an overall evaluation of pulp and freeness on greaseproofing papers. The experimental fiber length, coarseness and distribution characteristics and the greaseproofing results suggest that softwood pulps (radiate pine > northern pine) were superior to hardwood pulps (eucalypts > acacia > mixed Indonesian hardwoods). The unbeaten pulps gave papers with high porosities and nearly devoid of greaseproofing property. Greaseproofing is proportional to air resistance. Among the nonwood fibers, bagasse had the best greaseproofing property, followed by reed and abaca was the poorest. With regards to waterproofing property, hardwood pulps (mixed Indonesian hardwoods > acacia > eucalypts) were better than softwood pulps (northern pine > radiate pine). Among the Nonwood fibers, reed had the highest waterproofing property, and it was followed by abaca, while bagasse had the poorest waterproofing characteristic. In summary, bleached kraft northern pine, eucalypts and reed pulps were best suited for making greaseproofing papers, Freeness of the pulps should be kept at $200{\sim}280mL$ CSF for optimal performance.

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Study of Virtual Goods Purchase Model Applying Dynamic Social Network Structure Variables (동적 소셜네트워크 구조 변수를 적용한 가상 재화 구매 모형 연구)

  • Lee, Hee-Tae;Bae, Jungho
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.85-95
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    • 2019
  • Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

A Study on Assessment of Importance and Priority Derivation from Activities of Technology Transfer & Licensing Organization Using AHP Method (기술이전·사업화 전담조직(TLO) 활동의 중요도 평가 및 우선순위 도출에 관한 연구)

  • Han, Kyung-jin;Kwak, Na-yeon;Lee, Choong C.
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.37-46
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    • 2016
  • Patent application as achievements from R&D institutions in public sector have quantitatively increased by expanding R&D investment for enhancing competitiveness but there have been few tangible outputs from the investment. From this reason, TLO(Technology Transfer&Licensing Organization) and its operation becomes more important to implement technology transfer and commercialization and to bring success in the related business. To get work done more efficiently and to improve utilizing products of the R&D in the TLO, this research is to draw domains and activities of TLO and establish its task systems by prioritizing activities. From literature reviews and expert interviews, we generated 6 work domains and 21 task items. Applying AHP analysis, we discriminated the relative importance from task items and analyzed its priority. The finding of this research can provide implications for TLO to increase work efficiency and improve its performance.

Priority Analysis of Project Stage-wise Risk Factors : Focusing on New Product Development Projects in ICT Industry (프로젝트 단계별 리스크 요인들의 우선순위 분석 : ICT(정보통신기술)산업 분야의 신제품 개발 프로젝트를 중심으로)

  • Jang, Heeseok;Choi, Sungyong;Lee, Minho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.72-82
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    • 2018
  • In this paper, we identify risk factors that are likely to occur during the lifecycle of a new product development (NPD) project from the literatures, and identify the three objectives or three constraints that will ultimately be achieved for project success in the ICT industry : performance (scope/quality), schedule (time), and cost. Firstly, we interviewed the project experts to classify the risk factors according that the final project objectives are changeable based on scope/quality, time and cost budget constraints. Secondly, the survey for pairwise comparisons between the risk factors was asked to the project managers and members who had ever actually participated in the NPD projects of ICT industry to determine the priority ranks on relative importance using AHP (Analytic Hierarchy Process). The risk factors negatively affecting the goals of projects were analyzed by using the AHP respectively in four project stages during the life cycle of the project. The comparison of risk factors within each stage is a different approach unlike the literatures which have covered project's overall risk assessment. There is an advantage that risk management can be effectively performed with priorities according to each stage from the start to the end of the project. In other words, it is necessary to identify what risk factors will occur in each stage, and to have ideas at each stage with the priorities so that they can be mitigated and eliminated before actual occurrence. As a result, risks on scope & quality changes were found to be the most important considerations for initiative stage of NPD projects in the ICT industry, whereas in the final stage, risks on schedule (time) changes were the most important priorities. Among the ICT industry product categories, 'communication and broadcasting devices' and 'IT and communication based devices' generally have a high priority in terms of risks on scope & quality changes when initiating the project. At the closing stage of the project, however, considering that schedule (time) changeable risk is getting higher, these products tend to target at B2B market rather than B2C because the new products must be delivered and launched in time as customer firm required.

Success Factors of German Mittelstand as a Role Model for Korean Exporting SMEs (한국 수출중소기업 롤 모델로서 독일 미텔슈탄트의 성공요인 분석)

  • Hong, Song-Hon
    • International Commerce and Information Review
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    • v.15 no.4
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    • pp.341-366
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    • 2013
  • The term, Mittelstand, has no exact english translation for the definition, but, today, Mittelstand refers to small and medium-sized enterprises(SME), mostly family-owned firms in Germany. The Mittelstand is called the backbone of the German economy because it drove the economic miracle after World War II. During the global recession and the euro zone's debt crisis in recent years, in which european businesses have faced the near-collapse of competitiveness particularly in manufacturing, the German exports are booming and exceeded exports of China in 2012. Most importantly, the Germany economic performance has been widely attributed to the strength of the Mittelstand. Many of countries, even some leading public companies are seeking to emulate the success of the Mittelstand. Investors evaluate that many of Germany's investable "hidden champions" are Mittelstand companies. The purpose of this study is to present some of answers to the following questions: Firstly, what makes the German Mittelstand so successful? Secondly, what does the success of the German Mittelstand mean for the Korean SMEs in global competitiveness? Thirdly, what Korean government has to do improve the global competitiveness of the Korean SMEs? Some discussions in this study mention the managerial implications for Korean exporting SMEs particularly in manufacturing. Several factors that account for the success of the German Mittelstand are technological excellence and the tradition of family-owned management, concentration on niche market and globalization, and institutional supports. There are some of important lessons to be learned from the German Mittelstand. If the purposes of Korean SMEs want to remain in the sustainable competitive advantage and withstand unforeseen economic turbulences in the future, they must be able to meet the followings: 1) Technology that meets the global standard or exceeding it 2) Competitiveness in price in the global market 3) Active involvement in the globalization process, utilizing various entry modes Innovative products at globally competitive price are a crucial point for Korean exporting SMEs to achieve their competitive edge over others in the target markets abroad. It is time for Korean SMEs to cultivate a core competence in manufacturing in order to position Korea as a global manufacturing hub with SMEs leading.

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Recommender System using Implicit Trust-enhanced Collaborative Filtering (내재적 신뢰가 강화된 협업필터링을 이용한 추천시스템)

  • Kim, Kyoung-Jae;Kim, Youngtae
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.1-10
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    • 2013
  • Personalization aims to provide customized contents to each user by using the user's personal preferences. In this sense, the core parts of personalization are regarded as recommendation technologies, which can recommend the proper contents or products to each user according to his/her preference. Prior studies have proposed novel recommendation technologies because they recognized the importance of recommender systems. Among several recommendation technologies, collaborative filtering (CF) has been actively studied and applied in real-world applications. The CF, however, often suffers sparsity or scalability problems. Prior research also recognized the importance of these two problems and therefore proposed many solutions. Many prior studies, however, suffered from problems, such as requiring additional time and cost for solving the limitations by utilizing additional information from other sources besides the existing user-item matrix. This study proposes a novel implicit rating approach for collaborative filtering in order to mitigate the sparsity problem as well as to enhance the performance of recommender systems. In this study, we propose the methods of reducing the sparsity problem through supplementing the user-item matrix based on the implicit rating approach, which measures the trust level among users via the existing user-item matrix. This study provides the preliminary experimental results for testing the usefulness of the proposed model.