• 디지털산업정보학회논문지
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• 제8권4호
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• pp.205-215
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• 2012

Due to a rapid change of business environment, many firms are eager to find the competitiveness by information technology adoption and diffusion. In this exploratory study, we examined the applicability of a previously proposed model to evaluate IT competitiveness based on the innovativeness and verified it's propriety with empirical data. As suggested by previous studies, the proposed model considers a variety of corporate and market characteristics concerned with IT adoption, and it consists of several internal and external impacting factors, which have influence on technology diffusion and its performance. For the empirical analysis, the survey data of domestic ERP adoption cases were adopted from 128 small and medium-sized enterprises(: SMEs) in IT and electrical engineering industry, and analyzed by partial least squares(: PLS) - a popular structural modeling and multivariate projection technique to latent variables. The results indicated positive supports for the research model of external and internal IT adoption factors' influences on innovativeness' performances. However, there are a couple of limitations not to show the reliability of selected measurement items and the generality of model proposed in this exploratory study.

• 품질경영학회지
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• 제41권3호
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• pp.355-369
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• 2013

Purpose: This study is about Lean-NPD (New Product Development). Lean-NPD is Pulip Line's New Product Development type. This study introduced Lean-NPD Definition, Case Study, and Research Model of Lean-NPD. Empirical results of this survey will be provide suggestions to workers. Methods: Researcher developed research model about Lean-NPD activities. And researched Lean-NPD. This study analyzed model fitness and path significant with SEM(Structural Equation Model). Results: Fitness of the research model was satisfactory level. Leadership capabilities and production operations were significantly influence marketing capabilities(t> ${\pm}1.96$). Organizational culture significantly affected marketing capabilities(t> ${\pm}1.96$). R&D capabilities and marketing competencies had significant influence on business performance(t> ${\pm}1.96$). Marketing capabilities had significant influence on quantitative management performance(t> ${\pm}1.96$). Outstanding leadership appear to directly affect Qualitative Performance(t> ${\pm}1.96$). Conclusion: Under the excellent leadership and management environment definite organic Lean-NPD organizational culture significantly affects the operation can be seen. Lean-NPD of operational activities to provide value to customers, customer-oriented marketing activities can be seen that more important than anything. Lean NPD based on customer needs is key factor of growth.

• Journal of Welding and Joining
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• 제14권4호
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• pp.33-42
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• 1996

In recent years there has been a significant growth in the use of the automated and/or robotic welding system, carried out as a means of improving productivity and quality, reducing product costs and removing the operator from tedious and potentially hazardous environments. One of the major difficulties with the automated and/or robotic welding process is the inherent lack of mathematical models for determination of suitable welding process parameters. Partial-penetration, single-pass bead-on-plate welds were fabricated in 12mm AS 1204 mild steel flats employing five different welding process parameters. The experimental results were used to develop three empirical equations: curvilinear; polynomial; and linear equations. The results were also employed to find the best mathematical equation under weld bend width to assist in the process control algorithms for the Gas Metal Arc Welding(GMAW) process and to correlate welding process parameters with weld bead width of bead-on-plates deposited. With the help of a standard statistical package program. SAS, multipe regression analysis was undertaken for investigating and modeling the GMAW process, and significance test techniques were applied for the interpretation of the experimental data.

• 설비공학논문집
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• 제13권6호
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• pp.497-504
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• 2001

A study to improve the accuracy of a map-based compressor model with experiment was performed. Corrections on the effects of suction gas superheat and heat leakage from a compressor shell are required to apply the compressor amp model based on the empirical performance data(map) of compressor manufacturers to the actual system. So experiments to assess the effects of superheat and hat leakage were performed and the corrected equations were made. Compressors and refrigerant used in the experiment were the high pressure type rotary compressor and R-22, experiments were performed by compressor calorimeter. From the experiment, a volumetric efficiency correction factor$(F_ν)$ showed the value of 0.77, slightly higher than 0.75 proposed by Dabiri and Rice for low pressure type reciprocating compressor, and the heat leakage from the compressor shell turned out to be a factor that influenced the discharged mass flow rate. The relation between heat leakage of compressor shell and the variation of discharged mass flow rate from compressor was considered in compressor map modeling as an empirical function. With this function, the prediction accuracy of compressor model in system conditions was improved.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.1021-1031
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• 2020

This study aims to invest in empirical relationships in a model that becomes the process of Team-Performance due to participation in practical training through causality between Training Effectiveness variables, soft-skill competence, Employee-Creativity, and team performance. This study uses a quantitative approach. The analytical tool used is structural equation modeling (SEM) using AMOS version 23 software. Accidental sampling technique is used to collect the sample. As many as 202 respondents filled up a survey questionnaire with complete and valid answers. This study's results significantly contribute to fill the gap of inadequate empirical evidence that can answer critical questions about the missing link between training and employee-performance, more specifically between training-effectiveness and team-performance. The results showed that practical training would encourage employees' soft-skill competence, improve Employee-Creativity, and improve Team-Performance. Furthermore, training-effectiveness also plays a significant role in enhancing employee-creativity and helping in optimal team-performance. This study also found that the relationship between employee-creativity and team-performance did not show positive and significant results; therefore, empirically, it did not support the hypothesis built in this study. Practical training targeted towards increasing soft-skills and creativity is a fundamental reason which not only aims to contribute toward organizational performance but also provides personal feedback for self-development.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.987-998
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• 2020

This study aims to examine OL as a potential mediating variable in the relationship between IT and organizational performance. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Also, existing literature discusses the use of technology in the organization, and the case for OL as the key knowledge process, and the intersection between technology and OL as a knowledge-based means for improving organizational performance. Many studies use a descriptive measure of OL despite the theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed. To test the model, we will apply (SEM) structural equation modeling in the analysis of a moment structures (AMOS) on the empirical evidence collected from 218 Pakistani CEOs and top managers.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.865-874
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• 2020

In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.

• 한국식품조리과학회지
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• 제31권5호
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• pp.635-641
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• 2015

This study considers the influence of the job satisfaction of employees at deluxe hotels and family restaurants on turnover intent, and seeks to analyze the moderating effects of company type (deluxe hotel and family restaurant) on the relationship between job dissatisfaction and turnover intent. Based on a total of 408 employees, this study reviewed the reliability and validity of the results obtained from empirical research using the Amos program. The hypothesized relationships in the model were tested simultaneously using structural equation modeling (SEM). The major findings are as follows. Job dissatisfaction was separated into five factors: the work itself, promotion, pay and benefits, supervision, and co-workers. The empirical results indicate that job dissatisfaction positively influences the turnover intent of employees. More specifically, the work itself (${\beta}=0.346$, p<0.001), and supervision (${\beta}=0.281$, p<0.001) significantly affects employees' turnover intent, whereas promotion, pay and benefits, and co-workers did not. Therefore, the turnover intent of employees at hotels and family restaurants decreased when they were motivated by strategies related to job dissatisfaction. In addition, the findings demonstrated that the company type moderated the effect of job dissatisfaction (e.g., co-worker) on turnover intent. Limitations and future research directions are also discussed.

• Elastomers and Composites
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• 제39권2호
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• pp.121-130
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• 2004

고무부싱은 차량부품들을 서로 연결하고 차체로 전달되는 진동을 줄여주는 역할을 하는 중요한 요소로써 가진변위와 주파수에 대해서 모두 비선형 특성을 보이며, 특히 주기적인 가진에 대해 히스테리시스 현상을 나타낸다. 본 논문에서는 1축 내구시험기를 이용하여 차량 현가 장치에 사용되는 부싱을 축 방향과 반경 방향에 대해 사인가진과 랜덤가진을 주어 특성을 살펴보았고 이러한 특성을 반영할 수 있는 동역학적 모델을 인공신경망을 이용하여 개발하였다. 실험결과는 신경망의 입력자료로 활용되었고, 오차역전파 알고리즘을 이용하여 실험적 부싱모델을 개발하였다. 개발된 실험적 부싱모델을 차량 시뮬레이션에 적용하여 유용성을 살펴보았다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.197-220
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• 2020

Purpose Cloud computing that provides a new paradigm for a firm's use of information technology is getting a lot of attentions by practitioners. However, the empirical investigation on members of organizations using cloud computing are insufficient. Therefore, this study aims to examine the capabilities and perceptions of organizational members that should be considered important for successful cloud computing implementation. Design/methodology/approach This study proposed factors related to the capabilities and perceptions of members of the organization, and examined the relationship between these factors and successful cloud computing implementation and performance. In addition, this study tested the moderating effect of leadership and continuous supports through empirical analysis. The proposed hypotheses were verified through structural equation modeling using SmartPLS3.0 with the collected data. Findings The results showed that four factors except 'member behavior control' had a positive effect on successful cloud computing implementation, which had a positive effect on performance. In addition, leadership and organizational continuous support have been shown to strengthen the relationship among factors.