• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.139-148
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• 2009

In a real-life supply chain environment, demand forecasting is usually represented by probabilistic distributions due to the uncertainty inherent in customer demands. However, the customer demand used for an actual supply chain planning is a single deterministic value for each of periods. In this paper we study the choice of single demand value among of the given customer demand distribution for a period to be used in the supply chain planning. This paper considers distributed multi-echelon supply chain and the objective function of this paper is to minimize the total costs, that is the sum of holding and backorder costs over the distribution network under the service level constraint, by using demand selection scheme. Some useful findings are derived from various simulation-based experiments.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.205-211
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• 2009

In reality, distribution planning for a supply chain is established using a certain probabilistic distribution estimated by forecasting. However, in general, the demands used for an actual distribution planning are of deterministic value, a single value for each of periods. Because of this reason the final result of a planning has to be a single value for each period. Unfortunately, it is very difficult to estimate a single value due to the inherent uncertainty in the probabilistic distribution of customer demand. The issue addressed in this paper is the selection of single demand value among of the distributed demand estimations for a period to be used in the distribution planning. This paper proposes an efficient demand selection scheme for minimizing total inventory costs while satisfying target service level under the various experimental conditions.

• Korea Trade Review
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• v.44 no.5
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• pp.107-125
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• 2019

This study analyzes the effects of FDI on the global value chain (GVC) using participation and export value added using panel data from 2005 to 2016 for 63 countries. This study used the GLS method. Results are as follows: First, foreign direct investment had a positive impact on the global value chain (GVC) participation and export value added of non-OECD economies. Furthermore, tariff rates were more sensitive to non-OECD countries than OECD countries. In addition, logistics infrastructure had a negative impact on global value chain (GVC) participation and export value added, while developed countries, such as OECD countries, with good infrastructure, had a positive impact on non-OECD countries. Finally, research and development costs have been shown to play a very important role in non-OECD countries. This study found that various service sectors, such as research and development (R & D) as well as the general manufacturing industry, are expanding beyond two countries to form global value chains (GVC) in which several countries are connected from production to consumption.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.229-245
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• 2013

The information security industry market is sluggish despite high expectation for its growth, and thus policies are required to define the causes and to address these issues. The policy formulation requires various historical market and human resource data for analyzing the industry, which cannot be guaranteed secured. This study executed face-to-face in-depth interviews with the frontline businesses in order to gather live opinions and to analyze industry's value chain, problems, and difficulties with a view to defining policy tasks for the development of the industry. The findings of the study revealed the current technical level of the information security industry, the frontline difficulty, and industrial ecosystem status. Based on these findings, the industry revitalization policy was devised and proposed. Objectives of the policy included the fostering of capacity to conceptualize, plan, and design industrial strategies based on the analysis of the industry's value chain and ecosystem, the expansion of the industry's value-added through the enhanced securing and management of the Intellectual Property Rights (IPR), and the nurturing of the security Human Resources (HR) in line with the industrial demand.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.563-573
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• 2020

This research examined the effect of KHD Leadership toward Sustainable Shareholder Value and mediated by IT & Business Strategy Alignement and Integrated Supply Chain Management. Therefore, with this research, it is expected to be able to develop the KHD Leadership in State-owned enterprises' (SOEs) Indonesian. The population in this study were all echelon 1, 2, and 3 employees in the PT Pupuk Kalimantan Timur, PT Pupuk Petrokimia Gresik, PT Pupuk Sriwidjaja Palembang, PT Pupuk Kujang Cikampek, PT Pupuk Iskandar Muda, as many as N = 1002 people. The appropriate sampling technique used is Proportional Stratified Random Sampling (n=300 employees). The statistical analysis used is SEM-WarpPLS method. IT & Business Strategy Alignement and Integrated Supply Chain Management significant and positive on Sustainable Shareholder Value. IT & Business Strategy Alignment and IT Integrated Suppy Chain Management is a mediating variable between the influence of KHD Leadership on Sustainable Shareholder Value. Novelty in this research is the development of Ki Hadjar Dewantara Leadership as the development of the concept of Javanese leadership that grows inherent in Indonesian society, especially Javanese society and is believed to be applicable in business and industrial organizations in Indonesia, of course it can also be implemented in Pupuk Indonesia Holding Company.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.4
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• pp.606-618
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• 2010

The study investigated how 'word of mouth' originates in the chain restaurant industry. It has long been acknowledged that 'word of mouth' is a critical factor for the success of a restaurant business due to its targetability and cost effectiveness. A review of the literature revealed four antecedents of 'word of mouth': service quality, perceived value, satisfaction, and relationship quality. Based on the theoretical/empirical relationships between those constructs, a structural model composed of the hypotheses was proposed. The structural model was tested with data collected from 471 chain restaurant patrons. The structural equation modeling analysis revealed that five constructs in the proposed model are interrelated, and during this process, word of mouth is formed in the chain restaurant industry. A positive relationship between service quality and satisfaction (0.265, p<0.05), service quality and perceived value (0.831, p<0.05), service quality and relationship quality (0.465, p< 0.05), and service quality and WOM (0.263, p< 0.05) were found, indicating that service quality is a key prerequisite for word of mouth and other constructs proposed in the model. It was revealed that perceived value doe not have a direct impact on WOM formation (t=1.275, p=0.202), but a positive relationship between perceived value and satisfaction (0.293, p<0.05) and between satisfaction and WOM (0.627, p< 0.05) were found. Therefore, it was concluded that patrons' perceived value influences word of mouth formation, but that impact is mediated by satisfaction. During this process, relationship quality also plays a mediating role in generating word of mouth. Based on data analysis, theoretical/managerial implications are discussed.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.54-69
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• 2012

Chan and Qi (SCM 8/3 (2003) 209) developed an innovative measurement method that aggregates performance measures in a supply chain into an overall performance index. The method is useful and makes a significant contribution to supply chain management. Nevertheless, it can be cumbersome in computation due to its highly complex algorithmic fuzzy model. In aggregating the performance information, weights used by Chan and Qi-which aim to address the imprecision of human judgments-are incompatible with weights in additive models. Furthermore, the default assumption of linearity of its scoring procedure could lead to an inaccurate assessment of the overall performance. This paper addresses these limitations by developing an alternative measurement that takes care of the above. This research integrates three different approaches to multiple criteria decision analysis (MCDA)-the multiattribute value theory (MAVT), the swing weighting method and the eigenvector procedure-to develop a comprehensive assessment of supply chain performance. One case study is presented to demonstrate the measurement of the proposed method. The performance model used in the case study relies on the Supply Chain Operations Reference (SCOR) model level 1. With this measurement method, supply chain managers can easily benchmark the performance of the whole system, and then analyze the effectiveness and efficiency of the supply chain.

• Korea Trade Review
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• v.44 no.1
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• pp.207-220
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• 2019

In the context of export-oriented growth strategy, Korea has promoted the conclusion of FTAs and 16 FTAs have entered into force or concluded so far. Despite of these efforts, the expansion of the global value chain (GVC) has resulted in fragmentation of production processes and international companies have been struggling to meet the criteria for determining the rule of origin. In order to overcome these difficulties, some foreign FTAs have been introducing cross-cumulation of origin. In this paper, we try to examine empirically whether the easing of the rules of origin using cross-cumulation contributes to the increase in actual value-added exports. we quantify the effects of cross-cumulation included in the EU-Vietnam FTA on Korean exports of the textile through a gravity model using the concept of value-added export. Based on the analysis results, the proportion of value-added exports in Vietnam increased by adoption of cross-cumulation of origin, which consequently resulted into an increase in total exports. This paper tries to draw several implications for the rules of origin in Korea's FTAs including cross-cumulation considering the export value chain of Korea.

• Korean journal of communication and information
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• v.71
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• pp.194-223
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• 2015

This study explores a value chain structure of TV program including news, drama, and comedy. The purpose of this research focused on factor analysis and the relationship among viewer's program selection motivations. This research explores correlation between personal value and viewing motivation. This study was to identify the value structure of respondent on TV program(news, drama, comedy) based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. The result shows that on news program the basic function is viewers are want to visual factor and quickly acquire social news and they pursue a value of personal social relationship. Whereas, on drama program, the viewers are reflected by around person, and they selected a program based on closed related person. In addition, the viewers are influenced by program's social nomination, production's brand in drama, and performer's nomination, producer and program prominence on comedy. The program selection is highly correlated on program selection's credibility, vital energetic life, and social relationship. The results shows that there was no significant difference between low involvement group and high involvement group for main category involvement group respondents.