• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.325-336
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• 2019

The purpose of this study is to analyze the structural relationship between internal capabilities and job satisfaction using the 7S model and propose measures to improve management performance through internal factors. For this study, seven research hypotheses were set up, and the survey conducted among members of all professions working in general hospitals in small and medium-sized cities in the provinces. From September 20 to October 20, 2016, 385 people were surveyed, and 327 pieces of data (84.9%) used for the study. Multiple regression analyses were performed to verify the effects of internal capabilities on job satisfaction. The analysis results showed that the explanatory power of the research model was suitable by showing 69.1%, and among the 7S factors, the leadership style (β=.392^**), the organizational structure (β=.129^*), the membership (β=.232^**), and the management technique (β=.204^*) showed a positive influence on job satisfaction. That has been confirmed to affect job satisfaction as the standardized factor values increase. Relationships between strategies, systems, and shared values on job satisfaction could not be identified. Significantly observed in the relationship between some internal capacity factors and job satisfaction is that internal capacity can be used as an alternative to an organization's performance improvement measures. Internal capacity can be affected by various environmental variables, such as establishment classification, size, and location. Further implications will also be provided for measuring future internal satisfaction levels separately from internal and external factors.

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.103-113
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• 2003

This paper shows alternative route search and preference route search for the traffic route search, and proposes the use of the fuzzy non-additive controller by the application of AHP(analytic hierarchy process). It is different from classical route search and notices thinking method of human. Appraisal element, weight of route is extracted from basic of the opinion gathering for the driving expert and example of route model was used for the finding of practice utility. Model evaluation was performed attribute membership function making of estimate element, estimate value setting, weight define by the AHP, non additive presentation of weight according to $\lambda$-fuzzy measure and Choquet fuzzy integral. Finally, alternative route search was possible to real time traffic route search for the well variable traffic environment, and preference route search showed reflection of traffic route search disposition for the driver individual. This paper has five important meaning. (1)The approach is similar to the driver's route selection decision process. (2)The approach is able to control of route appraisal criteria for the multiple attribute. (3)The approach makes subjective judgement objective by a non additive. (4)The approach shows dynamic route search for the alternative route search. (5)The approach is able to consider characteristics of individual drivers attributed for the preference route search.

• Journal of Korean Society of Forest Science
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• v.85 no.2
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• pp.172-179
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• 1996

This paper described the application of fuzzy multiobjective linear programming to solving a multiple-use problem of forest resources management. At first the concepts of linear programming, fuzzy linear programming and fuzzy multiobjective linear programming were introduced briefly. In order to illustrate a role of fuzzy multiobjective linear programming in the process of multiple-use forest planning, the natural recreation forest in Mt. Yoomyung was selected for this study. A fuzzy multiobjective linear programming model is formulated with data obtained from this Mt. Yoomyumg natural recreation forest to solve the multiple-use management planning problem of forest resources. Finally, the results, which were obtained from the calculation of this model, were discussed. The maximal value of the membership function(${\lambda}$) was 0.29, when the timber production and the forest recreation function were optimized at the same time through the fuzzy multiobjective linear programming. The cutting area in each period was 102.7ha, while total cutting area was 410.8ha for 4 periods. During 4 periods $57,904m^3$ will be harvested from this natural recreation forest and at the same time total visitors were estimated to be about 8.6 millions persons.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.3
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• pp.157-165
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• 2006

The change of external/internal factors of the cell rquires specific biological functions to maintain life. Such functions encourage particular genes to jnteract/regulate each other in multiple ways. Accordingly, we applied a linear decomposition model IFSA, which derives hidden variables, called the 'expression mode' that corresponds to the functions. To interpret gene interaction/regulation, we used a cross-correlation method given an expression mode. Linear decomposition models such as principal component analysis (PCA) and independent component analysis (ICA) were shown to be useful in analyzing high dimensional DNA microarray data, compared to clustering methods. These methods assume that gene expression is controlled by a linear combination of uncorrelated/indepdendent latent variables. However these methods have some difficulty in grouping similar patterns which are slightly time-delayed or asymmetric since only exactly matched Patterns are considered. In order to overcome this, we employ the (IFSA) method of [1] to locate phase- and shut-invariant features. Membership scoring functions play an important role to classify genes since linear decomposition models basically aim at data reduction not but at grouping data. We address a new function essential to the IFSA method. In this paper we stress that IFSA is useful in grouping functionally-related genes in the presence of time-shift and expression phase variance. Ultimately, we propose a new approach to investigate the multiple interaction information of genes.

• Journal of Korean Academy of Nursing
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• v.19 no.2
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• pp.212-222
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• 1989

When the head nurse who is pivotal in the nursing service administration of the hospital performs efficiently as a first-line manager, the effectiveness of the nursing unit, which includes the quality of nursing care, the jab satisfaction of staff members, and the cohesiveness of staff members is increased. With this point of view in mind, the researcher carried out a study to determine the actual work (the content of the work, the work process, the role of the head nurse, the activity media, and the purpose of the work) of the head nurse in a university hospital in Korea. In addition, this study was also carried out for the purpose of preparing an ideal model for the work of the head nurse. The research subjects were 39 head nurses. This included all the head nurses in two university hospitals except those who were working in outpatient care, operating rooms, central supply, nursing administration, in-service education and emergency care. Data were collected from September 24th to October 21th, 1987 and April 4th to 12th, 1988. A work activity record on which the head nurse recorded directly in a chronological narrative form, was used as the research instrument. The 234 work activity records, 39 head nurse's continuous recording over 6 days(from Monday to Saturday) were collected and analysed. The results were as follows ; 1. With regard to the work content for the total daily work of the head nurse, 45.2% of the activities were managerial activities but 58.1% of the head nurse' s time was spent in direct patient care. 2. With regard to the work process of the head nurse, specifically the location, the size and membership of groups contacted, the results were as follows : 1) Of the total daily work activities 92.4% were carried out in the nursing unit and this occupied 84.5% of total daily work time. Direct patient care was generally performed on the nursing unit and managerial work was performed in other areas. 2) Of the total daily work activities, 73% was with one or more persons and 51.2% of total daily work time was spent in groups. 3) A total of 51 persons, working in different capacities were contacted. These included 21 persons giving patient care, 19 persons working in nursing unit management, and 7 persons working in human resource management. 3. With regard to the head nurse's role in work activity, 53.3% of total daily work activities involved the informational role, 26.9%, the interpersonal role and 19.9%, the decisional role. With regard to time, 57.7% was spent in the informational role, 23.9%, in the interpersonal role and 18.3%, in the decisional role. When the head nurse performed managerial work, she gave nearly equal emphasis to all three roles when she gave direct patient care the informational role was increased. 4. With regard to the activity media, the number of unscheduled activities accounted for 27.1% of the activities, scheduled activities, 24.3%, desk work activity, 22.1%, rounds, 12.5% and telephone calls, made or received, 14.0%. In daily total work time managerial work related to desk work and scheduled activities were high, ranging from 29.8% to 29.9% but for direct patient care time, scheduled activities and unscheduled activities were high, ranging from 23.6％ to 35.3%. 5. With regard to the purpose of the work performed, 54.4% of the total daily work was concerned with the team and 41.4% was concerned with the agency. The managerial work was concerned mainly with the team and the direct patient care was concerned mainly with the patient. When the frequency of an activity and time were compared no significant difference was found between the days for which the work was recorded for any of the variables : the work content, the work process, the work role, the activity media and purpose of the work. On the basis of this study the following are proposed as an ideal model for head nurse work in Korea : The managerial work should be increased to 70%. The decisional role activities should be increased to 40%. Twenty percent of the work activity should be allocated to agency, community and profession. It is believed that this model for the head nurse's work can contribute to guidelines for job description development. Finally, educational programs, organizational and structural devices, and administrative support are needed for the proper function of the head nurse in this proposed model.

• Journal of Distribution Research
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• v.17 no.2
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• pp.1-28
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• 2012

I. Introduction : The purpose of this study is to test empirically hypothetical causality among constructs used in previous studies to build the model of relational market behavior on customers' participation and consumer-brand relationship after introducing theories of relationship marketing, loyalty program, consumer-brand relationship, customers' participation in service marketing as previous studies with regard to relational market behavior, which Bagozzi(1995) and Peterson(1995) commented on constructs and definition suggested by Sheth and Parvatiyar (1995). For this purpose, loyalty program by the service provider, customers' participation and consumer-brand relationship as preceding variables explain relational market behavior defined by Sheth and Parvatiyar(1995). This study proposes that loyalty program as a tool of relationship marketing will be effective in that consumers' participation in marketing relationship results in a narrow range of choice(Sheth and Parvatiyar, 1995) because consumers think that their participation motive result in benefits(Peterson, 1995). Also, it is proposed that the quality of consumer-brand relationship explain the performance of relationship as well as the intermediary effect because the loyalty program could be evaluated based on relationship with customers. We reviewed the variables with regard to performance of relationship based on relation maintain in marketing literature, and then tested our hypotheses related to several performance variables including loyalty and intention of relation maintain based on the previous studies and constructs(Bendapudi and Berry, 1997 ; Bettencourt, 1997 ; Palmatier, Dant, Grewal and Evans, 2006 ; You Jae Yi and Soo Jin Lee, 2006). II. Study Model : Analyses about hypothetical causality were proceeded. The marketing effect of loyalty program on relational market behavior was empirically tested in study regarding a service provider. The research model in according to the path hypotheses (loyalty program ${\rightarrow}$ customers' participation ${\rightarrow}$ consumer-brand relationship ${\rightarrow}$ relational market behavior and loyalty program ${\rightarrow}$ consumer-brand relationship, and loyalty program ${\rightarrow}$ relational market behavior and customers' participation ${\rightarrow}$ consumer-brand relationship, and customers' participation ${\rightarrow}$ relational market behavior) proceeded as an activity for customer relation management was suggested. The main purpose of study is to see if relational market behavior could be brought as a result of developing relationship between consumers and a corporate into being stronger and more valuable when a corporate or a service provider try aggressively to build the relationship with customers (Bettencourt, 1997; Palmatier, Dant, Grewal and Evans, 2006; Sheth and Parvatiyar, 1995). III. Conclusion : The results of research into the membership fitness club, one of service areas with high level of customer participation (Bitner, Faranda, Hubbert and Zeithaml, 1997; Chase, 1978; Kelley, Donnelly, Jr. and Skinner, 1990) are as follows: First, causalities in according to path hypotheses were tested, after the preceding variables affecting relational market behavior and conceptual frame were suggested. In study, all hypotheses were supported as expected. This result confirms the proposition suggested by Sheth and Parvatiyar(1995), who claimed that intention of consumer and corporate to participate in marketing relationship brings high level of marketing productivity. Also, as a corporate or a service provider try aggressively to build relationship with customers, the relationship between consumers and a corporate can be developed into stronger and more valuable one (Bettencourt, 1997; Palmatier, Dant, Grewal and Evans, 2006). This finding supports the logic of relationship marketing. Second, because the question regarding the path hypothesis of consumer-brand relationship ${\rightarrow}$ relational market behavior are still at issue, the further analyses were conducted. In particular, there existed the mediating effects of consumer-brand relationship toward relational market behavior. Also, multiple regressions were conducted to see if which one strongly influences relational market behavior among specific question items with regard to consumer-brand relationship. As a result, the influence between items composing consumer-brand relationship and ones composing relational market behavior was different. Among items composing consumer-brand relationship, intimacy was an influence of sustaining relationship, word of mouth, and recommendation, intimacy and interdependence were influences of loyalty, intimacy and self-connection were influences of tolerance and advice. Notably, commitment among items measuring consumer-brand relationship had the negative influence with relational market behavior. This means that bringing relational market behavior is not consumer-brand relationship without personal commitment, but effort to build customer relationship like intimacy, interdependence, and self-connection. This finding confirms the results of Breivik and Thorbjornsen(2008). They reported that six variables composing the quality of consumer-brand relationship have higher explanation in regression model directly affecting performance of consumer-brand relationship. As a result of empirical analysis, among the constructs with regard to consumer-brand relationship, intimacy(B=0.512), interdependence(B=0.196), and quality of partner(B=0.153) had the effects on relation maintain. On the contrary, self-connection, love and passion, and commitment had little effect and did not show the statistical significance(p<0.05). On the other hand, intimacy(B=0.668) and interdependence(B=0.181) had the high regression estimates on word of mouth and recommendation. Regarding the effect on loyalty, explanation level of the model was high(R2=0.515), intimacy(0.538), interdependence(0.223), and quality of partner(0.177) showed the statistical significance(p<0.05). Furthermore, intimacy(0.441) had the strong effect as well as self-connection(0.201) and interdependence (0.163) had the effect on tolerance and forgive. And these three variables showed effects even on advice and suggestion, intimacy(0.373), self-connection(0.270), interdependence (0.155) respectively. Third, in study with regard to the positive effect(loyalty program ${\rightarrow}$ customers' participation, loyalty program ${\rightarrow}$ consumer-brand relationship, loyalty program ${\rightarrow}$ relational market behavior, customers' participation ${\rightarrow}$ consumer-brand relationship, customers' participation ${\rightarrow}$ relational market behavior, consumer-brand relationship ${\rightarrow}$ relational market behavior), the path hypothesis of customers' participation ${\rightarrow}$ consumer-brand relationship, was supported. The fact that path hypothesis of customers' participation ${\rightarrow}$ consumer-brand relationship was supported confirms assertion by Bitner(1995), Fournier(1994), Sheth and Parvatiyar(1995) about consumer relationship to participate in marketing relationship.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.9
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• pp.723-732
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• 2001

In this paper, the neurofuzzy controller of optically guided AGV is proposed to improve the path-tracking performance A differential steered AGV has front-side and rear-side optical sensors, which can identify the guiding path. Due to the discontinuity of measured data in optical sensors, optically guided AGVs break away easily from the guiding path and path-tracking performance is being degraded. Whenever the On/Off signals in the optical sensors are generated discontinuously, the motion errors can be measured and updated. After sensing, the variation of motion errors can be estimated continuously by the dead reckoning method according to left/right wheel angular velocity. We define the estimated contour error as the sum of the measured contour in the sensing error and the estimated variation of contour error after sensing. The neurofuzzy system consists of incorporating fuzzy controller and neural network. The center and width of fuzzy membership functions are adaptively adjusted by back-propagation learning to minimize th estimated contour error. The proposed control system can be compared with the traditional fuzzy control and decision system in their network structure and learning ability. The proposed control strategy is experience through simulated model to check the performance.

• Research in Community and Public Health Nursing
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• v.12 no.2
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• pp.532-546
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• 2001

This report is the result of interim evaluation of a health promotion project which was operated by a public health center of K Gu in the year of 2000. It evaluated the aspects of the aim of a project, a target group. and adequacy and appropriateness of a approaching strategy by considering data of public health center's self-evaluation, and guidelines of a group assigned to evaluate the project. The way of evaluation was dividing the project into a colligated evaluation and a evaluation by projects in the aspects of the structure, the procedure. and the result of a result. Through this. a device to improve the health improvement project was derived. The target data for evaluation was the second data and data of self-evaluation, reported data, membership register data of a health management. and interview materials with the people in charge by projects that are all collected as a project management documents. The result of evaluation is stated below. 1. Main purpose of a health promotion project is building a environment of healthy life practicing and providing information through various ways to increase the rate of practicing healthy life. Through overall project. the ultimate purpose and definite purpose were same, however, it was not quite satisfied to offer planning of a time, and a target amount in detailed strategy. As the purpose was to build environment of healthy life practicing. most of the projects had the whole community citizen as a target group. That made difficult to operate detailed projects. so the result was hard to estimate as much as the effort put into it. Also, there were too many kinds of projects and target groups to be equal to by the human source of a health promotion project team. so we were just bent on operating a project. and could not prepare for the evaluation. As the most of former evaluation of public health service was just counting number of the objects, the new way of evaluating a project wasn't familiar to us. so the evaluation of a detailed project cannot be done well. Techniques and advices needed for all of these things weren't offered appropriately. For the forward direction of unfolding project. it is desirable to operate project by selecting focused target and considering a strategy of evaluation as a strategy of reasonable spread. The evaluation of the project became difficult as participation of citizen for it was poor. So, approach strategy that can lead the motivation of community citizen should be derived. 2. For the continuation of a health promotion project, technical assistance system. description of a field in charge, and arrangement of the amount of task should be developed as a central level. Furthermore, as the health promotion project focus on behavioral modification program whose purpose is to lessen dangerous factors. the public health service model which is incorporated with former project should be developed and spread out in the field for the object-centered project plan.

• Journal of Global Scholars of Marketing Science
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• v.15 no.3
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• pp.211-231
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• 2005

It is important for marketers to understand both individual resistance and group resistance in order to successfully bring innovations into global markets. We suggest that consumers resist innovations as individuals and as members of a group and that they do this in different ways at different stages of decision-making. The individual resistance begins with forms of initial resistance, develops into emergent resistance and mature or belated resistance at the individual level. In addition, personal moral standards can influence decision making in relation to the adoption of innovations. Individual resistance is sometimes accompanied by or evolves into group resistance. We introduce a framework for thinking about consumer resistance to innovations that sees it as a consequence of social identity, which has functions for the individual, the group to which one belongs, and other individuals and groups. Consumers with membership in a certain group try to increase their self-esteem through the process of social comparison. The more consumers strongly identify with and bond with a certain group, the more in-group solidarity and out-group hostility will occur. Out-group hostility gives group members strong resistance toward products and services related to the out-group. Individual resistance and group resistance are threats to marketers and dampen performance. By considering the existence of resistance to innovations and seeking strategies to overcome it, marketers can transform these threat into new opportunities. A better understanding of consumer resistance can complement research on the adoption of innovations and help in the development of a universal model of consumer behavior.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.3
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• pp.18-31
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• 2002

In this study, we introduce a concept of advanced neurofuzzy polynomial networks(ANFPN), a hybrid modeling architecture combining neurofuzzy networks(NFN) and polynomial neural networks(PNN). These networks are highly nonlinear rule-based models. The development of the ANFPN dwells on the technologies of Computational Intelligence(Cl), namely fuzzy sets, neural networks and genetic algorithms. NFN contributes to the formation of the premise part of the rule-based structure of the ANFPN. The consequence part of the ANFPN is designed using PNN. At the premise part of the ANFPN, NFN uses both the simplified fuzzy inference and error back-propagation learning rule. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. As the consequence structure of ANFPN, PNN is a flexible network architecture whose structure(topology) is developed through learning. In particular, the number of layers and nodes of the PNN are not fixed in advance but is generated in a dynamic way. In this study, we introduce two kinds of ANFPN architectures, namely the basic and the modified one. Here the basic and the modified architecture depend on the number of input variables and the order of polynomial in each layer of PNN structure. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability. The availability and feasibility of the ANFPN are discussed and illustrated with the aid of two representative numerical examples. The results show that the proposed ANFPN can produce the model with higher accuracy and predictive ability than any other method presented previously.