• The Journal of Economics, Marketing and Management
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• v.7 no.1
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• pp.15-25
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• 2019

Purpose - This paper attempts to derive effective performance-reward strategies for SMEs to raise the valence for their employees while using their relatively limited resources, which is one of the primary concerns raised by SME CEOs. Research design, data, and methodology - This paper draws on the four question items such as the financial/direct factors, the financial/indirect factors, the non-financial/direct factors and the non-financial/indirect performance-reward factors to shed light on the most important factors and aspects that need improving, using the AHP and IPA. Results - The overall findings on the SMEs' performance-reward factors of interest here are indicative of the need for rectifying their performance-reward systems. Conclusions - SMEs' performance-reward factors of interest here are indicative of the need for rectifying their performance-reward systems. In particular, despite the fact that SMEs can hardly offer high wages or bonuses as large enterprises do, the expectancy theory suggests it is better to reward employees as per a valid common system, while the equity theory underscores the need to maintain and reinforce the fairness in distribution, procedures and interactions.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.17-36
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• 2018

In this study, we developed a chatbot (Dialogue agent) using small Q & A data and evaluated its performance. The chatbot developed in this study was developed in the form of an FAQ chatbot that responds promptly to customer inquiries. The development of chatbot was conducted in three stages : 1. Analysis and planning, 2. Content creation, 3. API and messenger interworking. During the analysis and planning phase, we gathered and analyzed the question data of the customers and extracted the topics and details of the customers' questions. In the content creation stage, we created scenarios for each topic and sub-items, and then filled out specific answers in consultation with business owners. API and messenger interworking is KakaoTalk. The performance of the chatbot was measured by the quantitative indicators such as the accuracy that the chatbot grasped the inquiry of the customer and correctly answered, and then the questionnaire survey was conducted on the chatbot users. As a result of the survey, it was found that the chatbot not only provided useful information to the users but positively influenced the image of the pension. This study shows that it is possible to develop chatbots by using easily obtainable data and commercial API regardless of the size of business. It also implies that we have verified the validity of the development process by verifying the performance of developed chatbots as well as an explicit process of developing FAQ chatbots.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.138-146
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• 2012

This paper studies the effect of information quality level and customer demand on performance measures in a supply chain. The information quality level compares 2 types, the information levels of a customer demand and a lead time. The customer demand process follows a general auto-correlated AR(1) process without seasonality. In the AR(1) process, ${\sigma}$ indicates the degree of demand fluctuation and ${\rho}$ means the trend of customer demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.102-109
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• 2006

This paper investigates the effects of non-normality on the performance of univariate and multivariate cumulative sum(CUSUM) control charts for monitoring the process mean. In-control and out-of-control average run lengths of the charts are examined for the univariate/multivariate lognormal and t distributions. The effects of the reference value and the correlation coefficient under the non-normal distributions are also studied. Simulation results show that the CUSUM charts with small reference values are robust to non-normality but those with moderate or large reference values are sensitive to non-normal data especially to process data from skewed distributions. The performance of the chart to detect mean shift of a process is not invariant to the direction of the shift for skewed distributions.

• Information Systems Review
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• v.3 no.1
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• pp.103-114
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• 2001

Today many firms rely on information systems planning (ISP) to remain competitive by transforming their business model and redesigning their IT architecture. In spite of some great success stories, many firms are having a lot of difficulty with ISP. Previous research has found a number of critical factors for ISP. However, these studies have focused mainly on organizational characteristics. In contrast, our study has taken into consideration organizational work and planning process as main critical factors for ISP performance. Empirical results indicate that the ISP performance has a stronger relationship with ISP planning process rather than organizational work characteristics.

• IE interfaces
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• v.25 no.1
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• pp.71-78
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• 2012

Most manufacturing companies participate in various types of active collaboration to enhance competitive advantages in their arenas. In this paper, we introduce a data warehouse system that is designed for manufacturing collaboration. Just as enterprise information systems, collaboration support systems also need functions of performance measurement and monitoring. For this reason, we devise a new approach to measuring and evaluating performance of manufacturing collaboration. Specifically, we first present a concept of process warehouses for manufacturing collaboration. Next, we design a data schema of collaborative process warehouses to store and monitor collaboration performances. Finally, we implement a prototype system to support performance management of manufacturing collaboration. The proposed system can be used to effectively maintain and continuously improve collaboration in manufacturing industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.67-80
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• 2015

Although recent policies and regulations in Korea strongly advocate and encourage cultivation of venture foundations, studies on venture foundation and success are very limited and often primarily focus on entrepreneurship or individual quality as a venture founder in addition to such studies' validity in question. Therefore, this study primarily focuses on venture preparation process which is subject to venture founder's effort to verify the policy effectiveness in the relationship between venture preparation and business performance. Major goal of this study is to reduce social cost of venture failure by suggesting systematic policy support for venture foundations and analyzing the relationship between following variables: first, venture preparation and financial performance, second, venture preparation and non-financial performance, and third, venture preparation and business performance. 400 initial venture foundations less than 5 years are selected from KISED(Korea Institute Startup & Entrepreneurship Development) trend analysis to carry out statistical analysis using SPSS 18.0. To organize the data features, frequency analysis as well as descriptive statistics are performed to verify the hypothesis. As a result, sub-factors in measurement of venture preparation which are venture education period, venture benefit, and experience of incubating organization are selected as independent variables. Likewise, sub-factors in measurement of business performance which are financial performance and non-financial performance are used as dependent variables. To validate interactive effect, venture preparation period is selected as control variable to perform hierarchical regression analysis. The analysis result verifies that venture benefit has positive influence on financial and non-financial performance while venture education period has positive influence on non-financial influence and experience of incubating organization has negative influence on non-financial performance without influence on financial performance. In addition, interaction of venture preparation period has positive influence solely between venture benefit and non-financial performance. Through this study, appropriate supporting plans depending on the level of venture preparation can be derived to improve business performance of initial venture foundations for policy designer of venture support, and quality rather than quality improvement of venture businesses is possible through investigation of structural issues of individual venture businesses. Ultimately, this study suggests venture founders to determine whether to focus on venture preparation process or to start a venture business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2440-2450
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• 2009

The aim of the study is to look at the impact of 'NPD process planning proficiency' on NPD performance. In particular, the current study examines this effect at firm's level (NPD program), rather than at the level of individual project. This study investigate the impact of process planning proficiency considering other NPD proficiencies (i.e. marketing and technical proficiency). In addition to the main effect of process planning proficiency, the current study investigates the interaction effect between process planning proficiency and marketing proficiency (or technical proficiency). Based on a cross-industry sample of 103 Korean manufacturers, this study examines the impact of NPD process planning proficiency on product family performance. The current study focuses on platform projects which play a critical role on product family's successes. NPD process planning proficiency has significant impact on both NPD technical and commercial performance. Technical proficiency is not directly associated with NPD performance. However, this study finds the interaction effects of technical proficiency with process planning proficiency on NPD performance.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.684-687
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• 1997

In order to access to the Business Computer (B/C), the Process Computer(P/C), and the Database Server in one terminal, the Open Man Machine Interface (MMI) System has been developed. The testbed to develop the interface functions for B/C, P/C, DB server, and CCD camera were constructed, which consisted of Workstations and Personal Computers (PC). Graphic display programs Monitoring the process states of Tandem Cold Mill plant were developed using four Graphic User Interface tools: InTouch, FIX32, Open Interface Environment, and ILOG Views. With regard to the CPU utilization and response delay required to open new display, the performance tests have been carried out on each MMI platform.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.109-116
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• 2001

The detection of corporate failures is a subject that has been particularly amenable to cross-sectional financial ratio analysis. In most of firms, however, the financial data are available over past years. Because of this, a model utilizing these longitudinal data could provide useful information on the prediction of bankruptcy. To correctly reflect the longitudinal and firm-specific data, the generalized linear model with assuming the first order AR(autoregressive) process is proposed. The method is motivated by the clinical research that several characteristics are measured repeatedly from individual over the time. The model is compared with several other predictive models to evaluate the performance. By using the financial data from manufacturing corporations in the Korea Stock Exchange (KSE) list, we will discuss some experiences learned from the procedure of sampling scheme, variable transformation, imputation, variable selection, and model evaluation. Finally, implications of the model with repeated measurement and future direction of research will be discussed.