• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.381-393
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• 2016

This was a qualitative study to explore and better understand the adaptation experience and processes of peoples with fibromyalgia syndrome (FMS), as well as to develop a substantive theory using the grounded theory method. There were 13 patients (12 females and 1 male) who received FMS treatment from Rheumatic Medicine outpatient department of one general hospital. The data were collected through an in-depth interview between January and May of 2014. Transcribed interview contents were analyzed by the grounded theory method of Corbin and Strauss (2008). As a result, a total of 98 concepts, 26 sub-categories, and 10 categories were identified through the open coding process. The process of adaptation experience showed 4 steps: perception of uncertainty and limited condition, evaluation of self-control possibility and determinations of expectations of life, searching and trying of strategies, as well as self-regulation. The 4 types of adaptation experience were expansionary, complacently, effusively and withering. The 'protective self-regulation' theory was derived from the core category of 'learning to self-regulation method'. Patients with FMS has repeatedly attempted these strategies of protective self-regulation in order to gain stability from uncertainty and limited condition of the disease. Based on these results, it is necessary to develop an educational program for patients and families which has appropriate nursing intervention strategies in accordance with the types of adaptation.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.65-72
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• 2001

Generally, it is said that control of the inertia system is to track the reference input quickly while suppressing the vibration due to the system itself. In this case, the difficulty fur designing a controller is caused by modeling uncertainty and parameter variation. The purpose of this paper is to propose a design method to suppress the vibration of three-mass inertia system based on the LMI theory. That is, the generalized plant model by which we can cope with conservativeness of the existing H$_{*}$ theory is proposed and analyzed in terms of LMI. The results of simulation fur the three-mass inertia system show that the proposed design approach is quite effective under the given situations.

• Knowledge Management Research
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• v.11 no.5
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• pp.59-78
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• 2010

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.135-165
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• 2009

The major purpose of this study is to identify the factors influencing the implementation performance of ERP Systems from an integrated viewpoint. For this purpose, a research model is developed based on the literature reviews of ERP systems, contingency theory, and change management theory. The research model proposed fifteen variables as the factors influencing the implementation performance in the ERP systems. The data have been collected from the 164 enterprises which implemented ERP systems at least one year ago. The respondents were person in charge of ERP system of each corporation. The results of hypothesis testing through multiple regression analysis are summarized as follows. Firstly, standardization of work, concentration of decision making, top management concern and support, real user participation, project support goodness, ease of use, and system usefulness have positive influence upon non-financial performance. Secondly, market uncertainty, industrial competition, project support goodness, and customization minimization have positive influence upon financial performance. From the analysis, this research have identified important characteristics for the successful implementation of ERP systems. Consequently, this research ends with managerial and theoretical implications of the study results, as well as limitations and future research directions.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.355-371
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• 2014

The present study investigated the dimensionality of satisfaction and dissatisfaction as well as evaluated the effects of social commerce characteristics on satisfaction and dissatisfaction. The conceptual framework of the study was built on Herzberg's motivation-hygiene Theory and the Kano Model. We gathered 519 data by social commerce users through an online survey and used SPSS 20.0 for the analysis. The findings showed that satisfaction and dissatisfaction are two distinct constructs; in addition, nine characteristics of social commerce were derived from factor analysis. Among the nine factors of social commerce characteristics, diversity had a positive influence only on satisfaction and uncertainty had only a positive impact on dissatisfaction; however, price discount, product quality and transaction safety, influenced both satisfaction and dissatisfaction. There were several factors that had no significant influence on both satisfaction and dissatisfaction. The findings of the study support Herzberg's motivation-hygiene Theory and the Kano Model. The present study helps social commerce managers establish a plan to maximize factors that influence consumer satisfaction and minimize the factor influencing dissatisfaction.

• Structural Engineering and Mechanics
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• v.63 no.5
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• pp.639-646
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• 2017

According to the multi-index system of dam safety assessment and the standard of safety, a comprehensive evaluation model for dam safety based on a cloud model is established to determine the basic probability assignment of the Dempster-Shafer theory. The Dempster-Shafer theory is improved to solve the high conflict problems via fusion calculation. Compared with the traditional Dempster-Shafer theory, the application is more extensive and the result is more reasonable. The uncertainty model of dam safety multi-index comprehensive evaluation is applied according to the two theories above. The rationality and feasibility of the model are verified through application to the safety evaluation of a practical arch dam.

• Structural Engineering and Mechanics
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• v.72 no.2
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• pp.203-216
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• 2019

Reliability analysis of composite structures considering random variation of involved parameters is quite important as composite materials revealed large statistical variations in their mechanical properties. The reliability analysis of such structures by the first order reliability method (FORM) and Monte Carlo Simulation (MCS) based approach involves repetitive evaluations of performance function. The response surface method (RSM) based metamodeling technique has emerged as an effective solution to such problems. In the application of metamodeling for uncertainty quantification and reliability analysis of composite structures; the finite element model is usually formulated by either classical laminate theory or first order shear deformation theory. But such theories show significant error in calculating the structural responses of composite structures. The present study attempted to apply the RSM based MCS for reliability analysis of composite shell structures where the surrogate model is constructed using higher order shear deformation theory (HSDT) of composite structures considering the uncertainties in the material properties, load, ply thickness and radius of curvature of the shell structure. The sensitivity of responses of the shell is also obtained by RSM and finite element method based direct approach to elucidate the advantages of RSM for response sensitivity analysis. The reliability results obtained by the proposed RSM based MCS and FORM are compared with the accurate reliability analysis results obtained by the direct MCS by considering two numerical examples.

• Journal of Information Science Theory and Practice
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• v.10 no.4
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• pp.23-37
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• 2022

The pandemic of Coronavirus disease (COVID-19) has contributed more challenges for mothers as the family's primary caregiver in overcoming the widespread infection. Pandemic-related information is essential for mothers to reduce uncertainty as well as to maintain the health of family members during this unprecedented situation. Adopting the framework of the Situational Theory of Problem Solving, this study extends the theory by, first, testing the mediating role of COVID-19 anxiety on mothers' information seeking and information forwarding, referred to as active communication action of problem solving, as well as preventive behavior; and second, by predicting the effect of information seeking on preventive behavior. Referring to an online survey from 371 Indonesian mothers, the findings suggest that in terms of direct effect, only problem recognition was found to have no significant effect on situational motivation. The results suggest that Indonesian mothers perceive COVID-19 as personally relevant so that they are motivated to solve the problem by seeking and forwarding related information. In addition, COVID-19 anxiety was found to play a significant role in predicting information seeking, information forwarding, and preventive behavior. The result of this study is expected to give insights for risk communicators and health professionals in Indonesia in communicating COVID-19, particularly to mothers.

• Asia Marketing Journal
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• v.18 no.3
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• pp.47-63
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• 2016

Rational choice theory holds that the alternative with largest expected utility in the choice set should always be chosen. However, it is often observed that an alternative with the largest expected utility is not always chosen while the choice task itself being avoided. Such a choice phenomenon cannot be explained by the traditional expected utility maximization principle. The current study posits shows that such a phenomenon can be attributed to the gap between the expected perceived gain (or loss) and the expected perceived value. This study mathematically analyses the relationship between the expectation of an alternative's gains or losses over the reference point and its expected value, when the perceived gains or losses follow continuous probability distributions. The proposed expected value (EV) function can explain the effects of loss aversion and uncertainty on the evaluation of an alternative based on the prospect theory value function. The proposed function reveals why the expected gain of an alternative should exceed some positive threshold in order for the alternative to be chosen. The model also explains why none of the two equally or similarly attractive options is chosen when they are presented together, but either of them is chosen when presented alone. The EV function and EG-EV curve can extract and visualize the core tenets of the prospect theory more clearly than the value function itself.

• Journal of The Korean Association For Science Education
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• v.28 no.6
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• pp.633-640
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• 2008

In this study, we investigated the possibility of using science laboratory reports in identifying students' ideas about discrepant events. A specially designed science laboratory report was developed in this study, and used to collect the information about students' responses toward discrepant events. A total of 839 laboratory reports on the solubility of gas, combustion, and the electrical conductivity of a solution were analyzed. Students' responses in the laboratory reports were classified into eight types; rejection, reinterpretation, exclusion, uncertainty, peripheral theory change, theory change, maintenance of scientific conception, and regressive theory change. In addition, reinterpretation and theory change were further classified into several subcategories. The characteristics of students' responses in this study were discussed in comparison with those of previous studies.