This study analyzed the impact of Higher-order resources on profit sustainability for domestic companies using a mathematical statistical model. Higher-order resources refer to resources that do not directly affect profits but influence other resources that directly contribute to profits. As a result of analysis using 30 years of actual data from more than 650 domestic companies, the average duration of competitive advantage including high-order resources was found to be about twice as long as the period suggested by the autoregressive model excluding high-order resources. Through this, if companies want to earn more profits over a long period of time than their competitors, they must not only possess resources that are more valuable, rare, difficult to imitate, and non-substitutable compared to their competitors, but also that higher-order resources can contribute to changes in these resources over time. It was confirmed that it must lead the long-term profit difference. High-level resources include strategic planning, mergers and acquisitions (M&A) capabilities, and good forecasting.

Big data technology is being used in various fields followed by the development of information and communication technology. In the corporate and public sectors, diverse system platforms are built and operated due to the needs of users, but efficiency is low because they are built from an individual service perspective rather than an integrated service perspective. In this study, the relationship between presenting the characteristics of the type of shared information platform, the integration plan, and integration performance of the shared information system platform was analyzed. The results of the study will provide guidelines for the integration of shared information system platforms by the government and private companies in the future.

This study analyzed the relationship between efficient pitchers and teams advancing to the postseason in Korean professional baseball through DEA. A total of 1,133 pitchers who threw more than one inning from the 2014 season to the 2018 season were selected for this study. For DEA analysis, input variables were selected as annual salary and inning output variables as Wins, Saves, and Holds and the number of efficient pitchers for each season was classified using the input-oriented BCC model. After that, it was divided into two groups based on joining the postseason or not, and the number of efficient pitchers was compared through a prop test. As a result of the analysis, the groups that advanced to the postseason in the rest of the season except for the 2014 and 2017 seasons had more efficient pitchers. Considering that the 2014 season recorded the highest WAR (Wins Above Replacement) at 183.56 compared to other seasons, most pitchers threw well, and in the 2017 season, they made more mistakes in pitching than in other seasons, but they performed well in batters. The results of this study have expanded the research field using efficiency analysis in professional baseball and can be used as useful data for practical research.

This study studied a system that can redesign the production site layout and respond with dynamic simulation through fabric production process innovation for smart factory promotion and digital-oriented decision making of the production process. We propose to reflect the required throughput and throughput per unit facility of fabric production process as probability distribution, and to construct data-driven metabolism such as data collection, data conversion processing, data rake generation, production site monitoring and simulation utilization. In this study, we demonstrate digital-centric field decision smartization through architectural design for the smartization of fabric production plants and dynamic simulations that reflect it.

Smart City operates with the purpose of solving urban problems. The important thing in smart city operation is that spatial information must be managed at a high level. In addition, it has the characteristics of being managed by one platform. This study presented the core value dimension of smart city based on analysis of various domestic and overseas smart city operation cases. Smart cities are basically operated based on spatial information, and the higher the level of spatial information, the more smart city services can be connected and managed in an integrated manner. The performance dimension of smart city core values presented in the study includes prosperity, personalization, convenience, accuracy, sustainability, safety, environment, integration, etc., and there is a connectivity dimension, a concept that can be managed in an integrated manner. This study will be useful for empirical research on smart city performance dimension design and surveys based on case studies. It will also help field managers who develop, operate, and manage smart cities when quantifying performance dimensions.

The manufacturing companies under Make-To-Order (MTO) production environment face highly variable requirements of the customers. It makes them difficult to establish preemptive production strategy through inventory management and demand forecasting. Therefore, the ability to establish an optimal production schedule that incorporates the various requirements of the customers is emphasized as the key success factor. In this study, we suggest a process of designing the simulation model for establishing production schedule and apply this model to the case of a flat glass processing company. The flat glass manufacturing industry is under MTO production environment. Academic research of flat glass industry is focused on minimizing the waste in the cutting process. In addition, in the practical view, the flat glass manufacturing companies tend to establish the production schedule based on the intuition of production manager and it results in failure of meeting the due date. Based on these findings, the case study aims to present the process of drawing up a production schedule through simulation modeling. The actual data of Korean flat glass processing company were used to make a monthly production schedule. To do this, five scenarios based on dispatching rules are considered and each scenario is evaluated by three key performance indicators for delivery compliance. We used B2MML (Business To Manufacturing Markup Language) schema for integrating manufacturing systems and simulations are carried out by using SIMIO simulation software. The results provide the basis for determining a suitable production schedule from the production manager's perspective.

Although retailers deals with a large number of single-term inventory items, but few cases have been considered in the areas of practical decision making. However, recent moves to strengthen fair trade have created a real need for single-period inventory decision-making problems. This study addresses the problem of ordering quantity decisions that are expected to maximize profits using classical newsvendor models. The research target is data on seasonal and perishable products from retail. We also use data from retailers to actually apply the newsvendor model and calculate the results to compare performance. It also suggests solutions for estimating demand for products sold in order to apply newsvendor models that utilize actual demand ratio versus forecast demand. This study would like to examine the effectiveness of this research through data analysis and make some suggestions for applying it to reality.

This study examined the current state of the representative support projects for each government that have been promoted to foster local industries. We have identified the changes and focus areas of the supporting industries in the biotechnology and medical industry sectors selected by each region. As a result, we found that most of the support for the bio and medical industry is concentrated in the industrial biotechnology field. We found that continued investment by governments and local governments had an impact on the growth of the biomedical industry In addition, an analysis of the results for 15 years (2002~ 2006) on sales and net profit (net loss) showed that productivity and growth were affected.

The purpose of this study is to develop an engineer competency model using Analytical Hierarchy Process (AHP) to improve the national technical qualification system. Korea has managed technical human resources at the government level through the operation of a national technical qualification system that certifies engineers with national certificates or technical grades by laws. However, there have been increasing concerns that the government system is separated from global standards and does not reflect an engineer’s comprehensive capabilities. For these reasons, the new architecture of the system has been continuously discussed and becomes a major policy issue of the Korean government. For the development of the engineer competency model, domestic and global models were separately structured using 554 valid questionnaires with a consistency ratio (CR) of 0.1 or less. The relative importance of engineer competency factors in a domestic model was career (0.383), qualification (0.253), academic degree (0.195), and job training (0.169) whereas the order in the global model was career (0.308), global ability (0.237), job training (0.175), domestic qualification (0.147), and academic degree (0.134). The results of AHP analysis indicated that the evaluation factors and methods recognized by engineers were different from a current government model focusing on domestic qualifications. There was also perceptual difference in the importance of engineer evaluation factors between groups depending on the type of organizations and markets. This means that it is necessary to reflect the characteristics of organizations and markets when evaluating engineer competency. Based on AHP analysis and literature reviews, this paper discussed how to develop a new engineer competency index (ECI) and presented two effective index models verified by simulation test using 59,721 engineers’ information. Lastly, the paper discussed major findings of our empirical research and proposed policy alternatives for the improvement of a national engineer qualification system. The paper contributes to the management of technical human resources since it provides quantitative competency models that are objectively developed by reflecting market recognition and can be effectively used by the policy makers or firms.

The proportion of software in the automotive industry is steadily increasing due to the rapid technological development of automobile E/E parts. Because the automotive E/E technology is now on the basis of intelligent automobile and advanced safety automobile technology. The purpose of this study is to investigate the effect of organizational capability (organizational resource capability and management capability), process capability (process capability, customer Requirement management capability), performance dimension (motivation, participation level). In this study, we conducted questionnaires and statistical analysis on engineers (members of the Korea Advanced Automotive Technology Association) who perform research and development activities in the R&D organization of the automotive E/E part in South Korea. ANOVA is applied for the verification of the difference in performance measured by organizational capability, process maturity, and motivation participation level according to company characteristics (level of processing : supply chain configuration, annual sales, total SW development ratio). According to the results of this study, in order to improve the performance of ASPICE or ISO 26262-related consulting project, a different consulting approach strategy considering the characteristics of organization and personnel is needed. In summary, the analysis results for the three main treatment levels are as follows. The difference in organizational capacity, process capability and performance was found to be statistically significant according to supply chain configuration and annual sales, but it was found that the difference of response according to the proportion of total SW was not significant.

The purpose of this study is to investigate the effect of the characteristics of the company or the characteristics of the project participants on the process quality of automotive parts development. In this study, an empirical study was conducted on more than 50 researchers who participated in the development of automotive electric/electronic parts. As a result, it was statistically verified that the quality of the consulting project was significantly influenced by the characteristics of company or participants. According to the results of this study, in order to improve the performance of ASPICE or ISO 26262-related consulting project, a different consulting approach strategy considering the characteristics of organization and personnel is needed. In addition, this study suggests characteristics of process quality and its relevant consulting strategy according to supply chain configuration.

우리나라는 국가 차원에서 엔지니어를 자격을 인증하고 기술등급으로 평가․활용하는 국가기술자격제도의 운용을 통하여 기술 인적자원을 육성하고 관리하고 있다. 동 제도는 광범위하게 사용되고 국가경쟁력에 미치는 영향력이 크나 국제기준과 괴리되어 기득권자의 지대(rent)가 되어 있고 엔지니어 역량을 종합적으로 반영하는데 미흡하다는 평가다. 기업 차원에서도 프로젝트 등에 배정할 엔지니어를 선정하기 위해 사전심사 등을 거치고 있으나 자체적으로는 평가 기준과 방법에 있어서 객관성을 확보하기가 어렵다. 이에 본 연구는 AHP 방법론을 활용한 역량모델링을 통해 국가기술자격제도의 적합성을 검증하고 기술 인적자원의 평가 및 선정에 쉽게 활용할 수 있는 정량적 역량모델을 제공하고자 하였다. 본 연구에서는 조사결과의 객관성을 확보하고 다양한 이해관계자 집단의 인식을 검토하고자 다수 전문 엔지니어를 대상으로 설문조사를 시행하고 통합집단과 세분된 집단으로 다면 연구를 진행하였다. 또한, AHP 기법을 활용하여 국내사업과 해외사업에 서 필요한 역량의 중요도를 차이를 파악하고자 국내모델 및 글로벌모델로 구분하여 접근하였다. AHP 가중치 도출을 위해 두 차례에 걸쳐 총 937명의 엔지니어로부터 설문지를 회수하여 이중 일관성비율(CR)이 0.1 이하인 554명(국내모델 321명, 글로벌모델 233명)의 유효 설문지를 분석에 활용하였으며, AHP분석 결과 도출된 가중치를 기반으로 복수의 역량모델을 제시하고 59,721명의 엔지니어 정보를 활용하여 모델별 효과를 추정하였다. 연구결과, 응답자는 정부의 현행 역량평가요소인 자격, 학력, 경력 외에 교육훈련과 글로벌역량이 포함될 필요가 있는 것으로 인식하고 있었다. AHP 국내모델에서 엔지니어 역량요소의 상대적 중요도는 경력(0.383), 자격(0.253), 학력(0.195), 교육훈련(0.169) 순으로 나타났으며, 글로벌모델에서의 상대적 중요도는 경력(0.308), 글로벌역량(0.237), 교육훈련(0.175), 국내기술자격(0.147), 학력(0.134) 순으로 나타 났다. 글로벌역량을 구성하는 하위지표에 대한 가중치는 해외근무, 어학능력, 해외자격의 순으로 나타났다. 이 같은 AHP 분석결과는 엔지니어들이 인식하는 기술등급 평가요소와 산정 방식이 기술자격 중심의 현행 정부의 모델과는 괴리가 있으며, 국내시장과 해외시장에서의 필요한 엔지니어의 역량에 차이가 있음을 시사해주고 있다. 기업규모 및 직무특성에 따른 평가요소별 중요도의 차이는 나타나지 않았으나, 기술자격 및 조직 유형에 따라 집단 간 역량평가 요소의 중요도가 일부 항목에서 다름이 확인되어, 역량모델 개발 및 활용 시 직무특성보다는 자격 특성 및 조직 유형을 반영할 필요가 있음을 의미한다. 역량모델링을 통한 시뮬레이션 결과, 현행 정부의 기술등급 산정 방법에서는 역량과는 무관하게 대량의 초급기술자가 양산됐지만, AHP 가중치에 기반을 둔 역량모델은 산업에서 요구하는 엔지니어의 기술등급 분포와 적합하였다. 본 연구는 AHP 방법론을 바탕으로 제안된 역량모델의 적합성을 실증적으로 검증하고, 시사성 있는 과제인 국가기술자격제도의 개선 방향을 도출함으로써 우리나라의 기술경쟁력 및 기술 인적자원관리 정책에 유용한 정책 대안을 제시한다는 점에서 의미가 있다. 또한, 본 연구에서 제시된 AHP 가중치 및 역량모델은 시장의 인식을 반영하여 정량화한 것으로 기업 차원에서도 사업 대상 및 조직 유형에 맞게 다소의 수정을 거쳐 범용적으로 활용할 수 있다. 특히 프로젝트에 배정될 기술 인적자원 선발 등의 잠재적 후보자를 선정하는 예비단계에서 객관화된 점수로 쉽게 평가할 수 있어 실무적 의미가 크다.

In this study, we conducted a comparative study on user’s perception and behavior on public system service (PSS) using institutionalism theory and MGA (multi-group analysis) methodology. In particular, this study focuses on how institutional isomorphism is applied to public system services and how MGA can be implemented correctly in a variance based SEM (structural equation model) such as PLS (partial least square). A data set of 496 effective responses was collected from pubic system users and an empirical research was conducted using three segmented models categorized by public proximity theory (public firms = 113, government contractors = 210, private contractors = 173). For rigorous group comparisons, each model was estimated by the same indicators and approaches. PLS-SEM was used in testing research hypotheses, followed by parametric and non-parametric PLS-MGA procedures in testing categorical moderation effects. This study applied novel procedures for testing composite measurement invariance prior to multi-group comparisons. The following main results and implications are drawn : 1) Partial measurement invariance was established. Multi-group analysis can be done by decomposed models although data can not be pooled for one integrated model. 2) Multi-group analysis using various approaches showed that proximity to public sphere moderated some hypothesized paths from quality dimensions to user satisfaction, which means that categorical moderating effects were partially supported. 3) Careful attention should be given to the selection of statistical test methods and the interpretation of the results of multi-group analysis, taking into account the different outcomes of the PLS-MGA test methods and the low statistical power of the moderating effect. It is necessary to use various methods such as comparing the difference in the path coefficient significance and the significance of the path coefficient difference between the groups. 4) Substantial differences in the perceptions and behaviors of PSS users existed according to proximity to public sphere, including the significance of path coefficients, mediation and categorical moderation effects. 5) The paper also provides detailed analysis and implication from a new institutional perspective. This study using a novel and appropriate methodology for performing group comparisons would be useful for researchers interested in comparative studies employing institutionalism theory and PLS-SEM multi-group analysis technique.

The development of an appropriate public service quality model has become increasingly recognised as an important subject of interest in the public sector as well as academia. In particular, the public systems enacted by governments are widely used and have a significant impact on national competitiveness. But few researches have been conducted to explore the quality dimensions of a public system service and empirically examine the relationship among related variables. Therefore, in this study, we strive to develop a quality measurement model of public system service that can be effectively used in practice. Using 601 samples gathered through a structured survey from project engineers, a conceptual quality model of public system is presented and discussed. Given the exploratory nature of this study, an exploratory factor analysis is used to investigate quality dimensions and partial least square (PLS) is employed in determining the structural relationships. From empirical results, we found that the quality dimensions of the public system had four distinct quality dimensions (design quality, environment quality, primary outcome quality, additive outcome quality). All four quality dimensions showed good representative factors in explaining user satisfaction. Perceived trust was proved to significantly mediate the relationship between quality dimensions and user satisfaction. Our research is expected to contribute to the literature by providing a good conceptual framework for assessing public system quality by linking four quality dimensions with user satisfaction. In particular, the developed model can elaborately measure process quality and multi-functional outcome quality of the system by the supplementation of design quality and additive outcome quality respectively. Practical implications are also suggested on the basis of our analysis.

SCM activities in a company are considered as total innovation through synchronizing supply and demand while maintaining appropriate inventory level and reducing the business operating costs. Until now, even several researches are carried out on the SCM performance of the companies which have introduced and been operating SCM, the research on the cost analysis for the inventory which occurs frequently on supply chain is still insufficient. Especially, for the electronics industry in which the product depreciation is sharp caused by the short product life cycle and the complexity of distribution channels, even the inventory related costs are a major factor in business management, since the current estimated criteria of inventory costs are limited to the interest and maintenance management costs, the criteria do not reflect the total influence of the product depreciation and lost opportunity cost which are related to the business management. Furthermore, even though the rapid price drops of the distributor inventory caused by the frequent new model launch can be covered by the product manufacturers, the scale of total costs related to the inventory has not been conceived because the price compensation is traditionally considered as a market costs.In this research, we analyzed the inventory characteristics of electronics industry in which the price depreciation happens frequently, newly defining the estimated criteria of the product total inventory cost which includes price depreciation from the product manufacturers’ view. Finally we focus on the case study of a representative electronics company and verify the scale of the influence on management performance.

In this study, granting the optimal loan limit on SME (Small and Medium Enterprise) loans of financial institutions was proposed using the traditional newsvendor model. This study was the first domestic case study that applied the newsvendor model that was mainly used to calculate the optimum order quantity under some uncertain demands to the calculation of the loan limit (debt ceiling) of institutions. The method presented in this study made it possible to calculate the loan limit (debt ceiling) to maximize the revenue of a financial institution using probability functions, applied the newsvendor model setting the order volume of merchandise goods as the loan product order volume of the financial institution, and proposed, through the analysis of empirical data, the availability of additional loan to the borrower and the reduction of the debt ceiling and a management method for the recovery of the borrower who could not generate profit. In addition, the profit based loan money management model presented in this study also demonstrated that it also contributed to some extent to the prediction of the bankruptcy of the borrowing SME (Small and Medium Enterprise), as well as the calculation of the loan limit based on profit, by deriving the result values that the borrowing SME (Small and Medium Enterprise) actually went through bankruptcy at later times once the model had generated a signal of loan recovery for them during the validation of empirical data. accordingly, The method presented in this study suggested a methodology to generated a signal of loan recovery to reduce the losses by the bankruptcy.

오늘날 물류 서비스 산업에서는 수요예측을 통해 불확실성을 줄여나가는 것이 경영상 매우 중요한 이슈로 제기되고 있다. 비교적 시장 점유율이 견고하게 유지되는 제조산업과는 달리 물류 서비스 산업은 매우 빠른 속도로 시장이 성장하고 변화하기 때문에, 시장 환경의 변화를 반영하여 정확한 수요 예측에 기반한 적절한 물류 서비스 공급을 위한 운송 및 인력 공급 계획을 수립하여 운용하여야 한다. 본 연구는 물류 서비스 업계를 위하여 추세 요소, 계절 요소 등 수요에 영향을 미치는 요소를 분석하고, 영향 효과를 산출하여 물류 서비스 산업을 위한 수요예측 시스템에 반영하는 방안을 연구하였다. 특히 지역 특산물, 기상효과, 음력으로 발생하는 명절 효과 등 수요를 크게 변화시키는 중요 영향 요소에 의한 수요 변동을 수요 예측에 활용하는 방안을 도출함으로써, 물류 서비스 산업계의 수요 예측을 위하여 분해법(Decomposition Method)을 제시하였다.