The satisfaction of customers, who are in a servicescape, will be subject to many environment stimulations. In particularly, in the hospitality industry such as restaurants service experience for customer is very important. Thus, not only the stylistic elements but also the social and socially symbolic elements. So this paper expands Bitner's servicescape framework by conceptualizing the existence of a expanded servicescape. The expanded servicescape has three important dimensions, which is the physical, the social and the socially symbolic. Structural modeling largely supports the hypothesized framework and the results about the relationship between expanded servicescape factors, relationship quality(satisfaction, trust, commitment) and repurchase are summarized as follows. And this study utilizes a questionnaire survey to gather data regarding consumers' perceptions by using expanded servicescape. First, the analysis proved that except comfort the physical dimensions which including comfort, convenience, aesthetics caused a positive impact on customer satisfaction. Second, social dimensions which including appearance, etiquette and professionalism caused a positive impact on customer trust. Third, except community symbolic dimensions which including nostalgia, connection to culture caused a positive impact on customer commitment. Forth, it proved that expected relationship quality(customer satisfaction, trust, commitment) caused a positive impact on repurchase behavior.
Journal of Korean Society of Environmental Engineers
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v.31
no.10
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pp.933-940
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2009
To evaluate characteristics in spray flame, laminar counterflow is investigated on the effects of equivalence ratio and fuel by a two-dimensional DNS (direct numerical simulation). For the gaseous phase, Eulerian mass, momentum, energy, and species conservation equations are solved. For the disperse phase, all individual droplets are calculated by the Lagrangian method without the parcel model. n-Decane ($C_{10}H_{22}$) and n-heptane ($C_7H_{16}$) is used as a liquid spray fuel, and a one-step global reaction is employed for the combustion reaction model. As equivalence ratio increases, the fuel ignites early and the high temperature region spreads wider. The peak value of temperature, however, tends to once increase and then decreases with increasing equivalence ratio. The decrease in the peak value of temperature for the higher equivalence ratio condition is caused by the cooling effect associated with droplet group combustion. Since the evaporation of n-heptane is early, the high temperature region spreads wider than ndecane, but the peak values of temperature for both n-heptane and n-decane is almost same.
The growth and yield models for five different kinds of natural forest types were systemically developed in the natural Broadleaved-Korean pine Forests in Northeast China. The data were collected from 359 temporary plots and 58 permanent plots with area ranged from 0.06 ha to 1.0 ha, ranging in stand age from 43 to 364 years. The Site Class Index (SCI) was introduced to evaluate site quality and the Crown Competition Factor (CCF) was selected as a measure of stand density for the mixed natural forest. The Chapman-Richards function was adopted to develop SCI equation and height-diameter curve. The Schumacher growth function was selected as base model to develop the DBH, basal area, and stand volume growth models by using re-parameterized method. In modeling mean DBH and basal area growth, it was found that the asymptotic parameter A of Schumacher function was exponentially related to site quality (SCI) and stand density (CCF). The rate parameter k was related to stand density and it was independent of SCI. Several validation measures for predicted stand variables were evaluated in the growth and yield models using independent data sets. The results indicated that relative mean errors (RME) in predicted stand attributes were less than ${\pm}5%$ and the estimated precision values of the stand variables were all greater than 95%.
Modeling and Simulation(M&S) technology gets an attention from various parts such as industry and military. Especially, military uses the technology to cope with a different situation from the one in the Cold War and maximize the effect of training against the cost in the new environment. In order for the training based on M&S technology to be effective, the situations of a battlefield and a combat must be more realistically simulated. For this, a technique development on Computer-Generated Forces(CGF) which represents a unit's simulation logic and a human's simulated behaviors is focused. The CGF simulating a human's behaviors can be used in representing an enemy force, experimenting behaviors in a future war, and developing a new combat idea. This paper describes a methodology to accomplish Computer-Generated Forces' autonomous intelligence. It explains the process of applying a task behavior list based on the METT+T element onto CGFs. On the other hand, in the domain knowledge of military field manual, fuzzy facts such as "fast" and "sufficient" whose real values should be decided by domain experts can be easily found. In order to efficiently implement military simulation logics involved with such subjectivity, using a fuzzy inference methodology can be effective. In this study, a fuzzy inference methodology is also applied.
Journal of the Society of Naval Architects of Korea
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v.39
no.3
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pp.75-80
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2002
In these days of severe struggle for existence, the world has changed a great deal to global and digital oriented period. The enterprises try to introduce new management and production system to adapt such a change. But, if the only new technologies are applied to an enterprise without definite analysis about manufacturing, failure fellows as a logical consequence. Hence, enterprise must analyze manufacturing system definitely and needs new methodologies to mitigate risk. This study suggests that the new approach, which is systems approach for process improvement, is organized to systems analysis, systems diagnosis, and systems verification. Systems analysis analyzes manufacturing systems with object-oriented methodology-UML(Unified Modeling language) from a point of product, process, and resource view. Systems diagnosis identifies the constraints to optimize the system through scientific management or TOC(Theory of constraints). Systems verification shows the solution with virtual manufacturing technique applied to the core problem which emerged from systems diagnosis. This research shows the artifacts to improve the productivity with the above methodology applied to forming shop. UML provides the definite tool for analysis and re-usability to adapt itself to environment easily. The logical tree of TOC represents logical tool to optimize the forming shop. Discrete event simulator-QUEST suggests the tool for making a decision to verify the optimized forming shop.
We examined research trends in geomorphology and hydrogeography in America based on papers presented at the annual meetings of the Association of American Geographers(AAG) and papers published in two AAG journals between 2002 and 2004. Among the 437 papers in geomorphology, $40\%$ of the papers concerned fluvial geomorphology, followed by environmental geomorphology and glacial and periglacial geomorphology concern. Among the 452 papers in hydrogeography, about $20\%$ of the papers focused on water, law and institutional aspects, followed by hydrogeomorphology and hydrologic modeling. Twenty one papers examining geomorphology and hydeogeography were published in two AAG journals, and fluvial geomorpholoy was the dominant theme. GIS was used for $29\%$ papers in geomorphology and $35\%$ of papers in hydrogeography($35\%$), suggesting that other methods, including geostatistics, field survey, and qualitative methods, are employed as well. This methodological diversification seems to be associated with solving such complex environmental problems as integrated watershed management and implies that geomorphologists and hydrogeographers are expanding their traditional territories and are making close connections with human-environment geographers and human geographers. Geomorphologists and hydrogeographers are likely to continue examining the causes of and solving environmental problems that humans are currently facing and might face in the future.
The Journal of Korean Institute of Communications and Information Sciences
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v.40
no.5
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pp.892-902
/
2015
Agri-food ICT(Information and Communications Technologies) convergence has been raised as an important issue for agricultural industry competence. In this situation, this study is to enhance agricultural competitiveness and seek to development plan for agricultural corporation by diagnosing informatization level. For this purpose, this study conducted survey on informatization level of 3,019 agricultural corporations and calculated level score. And result is compared with SMEs(Small and Medium Enterprise) informatization survey, including manufacturing and service industries, conducted by Korea Technology & Information Promotion Agency for SMEs in recent agricultural corporations' growing with automation of agricultural production and improving service to customer satisfaction. Evaluation system is established to calculate informatization level score and AHP(Analytic Hierarchy Process) method was used by the experts to investigate weighting of assessment area, assessment indicators, assessment items. As a result, agricultural corporation informatization level score was 40.16 points which is lower than the benefitted organization of agri-food IT convergence modeling(43.44 points). By assessment area, the informatization level of promotional environment area was low and investment and training items were analyzed low especially so need to improve urgently. In the analysis result by organization type, agricultural company corporation's informatization level was higher than the agricultural association corporation and 'Processing and distribution' was higher than others by business type. Informatization level of agricultural corporation is 80 percent of 2013 SMEs' level(50.18 points) and 59.4 percent of a large corporation(67.64 points). In particular, big difference is occurred in investment feasibility analysis, informatization investment and education which will be need to improve.
Korean Journal of Construction Engineering and Management
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v.18
no.3
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pp.63-73
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2017
In contemporary society, it is increasingly common to spend more time indoors. As such, there is a continually growing desire to build comfortable and safe indoor environments. Along with this trend, however, there are some serious indoor-environment challenges, such as the quality of indoor air and Sick House Syndrome. To address these concerns the government implements various systems to supervise and manage indoor environments. For example, green building certification is now compulsory for public buildings. There are three categories of green building certification related to indoor air in Korea: Health-Friendly Housing Construction Standards, Green Standard for Energy & Environmental Design(G-SEED), and Indoor Air Certification. The first two types of certification, Health-Friendly Housing Construction Standards and G-SEED, evaluate data in a drawing plan. In comparison, the Indoor Air Certification evaluates measured data. The certification using data from a drawing requires a considerable amount of time compared to other work. A 2D tool needs to be employed to measure the area manually. Thus, this study proposes an automatic assessment process using a Building Information Modeling(BIM) model based on 3D data. This process, using open source Industry Foundation Classes(IFC), exports data for the certification system, and extracts the data to create an Excel sheet for the certification. This is expected to improve the work process and reduce the workload associated with evaluating indoor air conditions.
This study aims to find out the determinants of male police officers' investigative behavior(active investigation vs. secondary victimization) of sexual violence. For this purpose, a hypothetical model which explains the relationships among the 5 variables (knowledge of law about the investigative role, perception of the protective & connective role, prejudice against the sexual violence, active investigation, and secondary victimization) was developed. Using the data collected from 354 male police officers of 3 cities in Gyeongnam area, the hypothetical model was tested. For data analysis, a structural equation modeling was used, and the final model was found(CFI=0.947, IFI=0.948, RMSEA=0.048). As a result of analyzing the model, the followings were found: (1) Active investigation was increased by knowledge of law about the investigative role, and perception of the protective & connective role, while decreased by prejudice against the sexual violence. (2) Secondary vicimization was decreased by knowledge of law about the investigative role. (3) Prejudice against the sexual violence mediate the effects of knowledge of law about the investigative role, and perception of the protective & connective role on active investigation. (4) Prejudice against the sexual violence was found to have no significant effect on secondary victimization. Based on the findings, multi-educational programs, protocols on investigation of sexual violence, professionalization of the police, and changes in investigation environment as well as a system of collaboration and cooperation between police officer and social worker were suggested as a way to increase active investigation and to decrease secondary victimization.
This study aims to find out the determinants of male police officers' investigative behavior(active investigation vs. secondary victimization) of sexual violence. For this purpose, a hypothetical model which explains the relationships among the 5 variables (knowledge of law about the investigative role, perception of the protective & connective role, prejudice against the sexual violence, active investigation, and secondary victimization) was developed. Using the data collected from 354 male police officers of 3 cities in Gyeongnam area, the hypothetical model was tested. For data analysis, a structural equation modeling was used, and the final model was found(CFI=0.947, IFI=0.948, RMSEA=0.048). As a result of analyzing the model, the followings were found: (1) Active investigation was increased by knowledge of law about the investigative role, and perception of the protective & connective role, while decreased by prejudice against the sexual violence. (2) Secondary victimization was decreased by knowledge of law about the investigative role. (3) Prejudice against the sexual violence mediate the effects of knowledge of law about the investigative role, and perception of the protective & connective role on active investigation. (4) Prejudice against the sexual violence was found to have no significant effect on secondary victimization. Based on the findings, multi-educational programs, protocols on investigation of sexual violence, professionalization of the police, and changes in investigation environment as well as a system of collaboration and cooperation between police officer and social worker were suggested as a way to increase active investigation and to decrease secondary victimization.
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