• 마케팅과학연구
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• 제18권3호
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• pp.59-88
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• 2008

Digital Convergence means integration between industry, technology, and contents, and in marketing, it usually comes with creation of new types of product and service under the base of digital technology as digitalization progress in electro-communication industries including telecommunication, home appliance, and computer industries. One can see digital convergence not only in instruments such as PC, AV appliances, cellular phone, but also in contents, network, service that are required in production, modification, distribution, re-production of information. Convergence in contents started around 1990. Convergence in network and service begins as broadcasting and telecommunication integrates and DMB(digital multimedia broadcasting), born in May, 2005 is the symbolic icon in this trend. There are some positive and negative expectations about DMB. The reason why two opposite expectations exist is that DMB does not come out from customer's need but from technology development. Therefore, customers might have hard time to interpret the real meaning of DMB. Time is quite critical to a high tech product, like DMB because another product with same function from different technology can replace the existing product within short period of time. If DMB does not positioning well to customer's mind quickly, another products like Wibro, IPTV, or HSPDA could replace it before it even spreads out. Therefore, positioning strategy is critical for success of DMB product. To make correct positioning strategy, one needs to understand how consumer interprets DMB and how consumer's interpretation can be changed via communication strategy. In this study, we try to investigate how consumer perceives a new product, like DMB and how AD strategy change consumer's perception. More specifically, the paper segment consumers into sub-groups based on their DMB perceptions and compare their characteristics in order to understand how they perceive DMB. And, expose them different printed ADs that have messages guiding consumer think DMB in specific ways, either cellular phone or personal TV. Research Question 1: Segment consumers according to perceptions about DMB and compare characteristics of segmentations. Research Question 2: Compare perceptions about DMB after AD that induces categorization of DMB in direction for each segment. If one understand and predict a direction in which consumer perceive a new product, firm can select target customers easily. We segment consumers according to their perception and analyze characteristics in order to find some variables that can influence perceptions, like prior experience, usage, or habit. And then, marketing people can use this variables to identify target customers and predict their perceptions. If one knows how customer's perception is changed via AD message, communication strategy could be constructed properly. Specially, information from segmented customers helps to develop efficient AD strategy for segment who has prior perception. Research framework consists of two measurements and one treatment, O1 X O2. First observation is for collecting information about consumer's perception and their characteristics. Based on first observation, the paper segment consumers into two groups, one group perceives DMB similar to Cellular phone and the other group perceives DMB similar to TV. And compare characteristics of two segments in order to find reason why they perceive DMB differently. Next, we expose two kinds of AD to subjects. One AD describes DMB as Cellular phone and the other Ad describes DMB as personal TV. When two ADs are exposed to subjects, consumers don't know their prior perception of DMB, in other words, which subject belongs 'similar-to-Cellular phone' segment or 'similar-to-TV' segment? However, we analyze the AD's effect differently for each segment. In research design, final observation is for investigating AD effect. Perception before AD is compared with perception after AD. Comparisons are made for each segment and for each AD. For the segment who perceives DMB similar to TV, AD that describes DMB as cellular phone could change the prior perception. And AD that describes DMB as personal TV, could enforce the prior perception. For data collection, subjects are selected from undergraduate students because they have basic knowledge about most digital equipments and have open attitude about a new product and media. Total number of subjects is 240. In order to measure perception about DMB, we use indirect measurement, comparison with other similar digital products. To select similar digital products, we pre-survey students and then finally select PDA, Car-TV, Cellular Phone, MP3 player, TV, and PSP. Quasi experiment is done at several classes under instructor's allowance. After brief introduction, prior knowledge, awareness, and usage about DMB as well as other digital instruments is asked and their similarities and perceived characteristics are measured. And then, two kinds of manipulated color-printed AD are distributed and similarities and perceived characteristics for DMB are re-measured. Finally purchase intension, AD attitude, manipulation check, and demographic variables are asked. Subjects are given small gift for participation. Stimuli are color-printed advertising. Their actual size is A4 and made after several pre-test from AD professionals and students. As results, consumers are segmented into two subgroups based on their perceptions of DMB. Similarity measure between DMB and cellular phone and similarity measure between DMB and TV are used to classify consumers. If subject whose first measure is less than the second measure, she is classified into segment A and segment A is characterized as they perceive DMB like TV. Otherwise, they are classified as segment B, who perceives DMB like cellular phone. Discriminant analysis on these groups with their characteristics of usage and attitude shows that Segment A knows much about DMB and uses a lot of digital instrument. Segment B, who thinks DMB as cellular phone doesn't know well about DMB and not familiar with other digital instruments. So, consumers with higher knowledge perceive DMB similar to TV because launching DMB advertising lead consumer think DMB as TV. Consumers with less interest on digital products don't know well about DMB AD and then think DMB as cellular phone. In order to investigate perceptions of DMB as well as other digital instruments, we apply Proxscal analysis, Multidimensional Scaling technique at SPSS statistical package. At first step, subjects are presented 21 pairs of 7 digital instruments and evaluate similarity judgments on 7 point scale. And for each segment, their similarity judgments are averaged and similarity matrix is made. Secondly, Proxscal analysis of segment A and B are done. At third stage, get similarity judgment between DMB and other digital instruments after AD exposure. Lastly, similarity judgments of group A-1, A-2, B-1, and B-2 are named as 'after DMB' and put them into matrix made at the first stage. Then apply Proxscal analysis on these matrixes and check the positional difference of DMB and after DMB. The results show that map of segment A, who perceives DMB similar as TV, shows that DMB position closer to TV than to Cellular phone as expected. Map of segment B, who perceive DMB similar as cellular phone shows that DMB position closer to Cellular phone than to TV as expected. Stress value and R-square is acceptable. And, change results after stimuli, manipulated Advertising show that AD makes DMB perception bent toward Cellular phone when Cellular phone-like AD is exposed, and that DMB positioning move towards Car-TV which is more personalized one when TV-like AD is exposed. It is true for both segment, A and B, consistently. Furthermore, the paper apply correspondence analysis to the same data and find almost the same results. The paper answers two main research questions. The first one is that perception about a new product is made mainly from prior experience. And the second one is that AD is effective in changing and enforcing perception. In addition to above, we extend perception change to purchase intention. Purchase intention is high when AD enforces original perception. AD that shows DMB like TV makes worst intention. This paper has limitations and issues to be pursed in near future. Methodologically, current methodology can't provide statistical test on the perceptual change, since classical MDS models, like Proxscal and correspondence analysis are not probability models. So, a new probability MDS model for testing hypothesis about configuration needs to be developed. Next, advertising message needs to be developed more rigorously from theoretical and managerial perspective. Also experimental procedure could be improved for more realistic data collection. For example, web-based experiment and real product stimuli and multimedia presentation could be employed. Or, one can display products together in simulated shop. In addition, demand and social desirability threats of internal validity could influence on the results. In order to handle the threats, results of the model-intended advertising and other "pseudo" advertising could be compared. Furthermore, one can try various level of innovativeness in order to check whether it make any different results (cf. Moon 2006). In addition, if one can create hypothetical product that is really innovative and new for research, it helps to make a vacant impression status and then to study how to form impression in more rigorous way.

• 마케팅과학연구
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• 제18권4호
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• pp.119-155
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• 2008

최근 많은 기업들이 치열한 경쟁에서 생존하기 위해 개별 고객들에게 초점을 맞춘 전사적이고 체계적인 고객관계관리에 전력을 기울이고 있다. 수익성 높은 대부분 기업들의 성공비결은 복합적이겠지만, 고객지향적 사고에의 신속한 적응이 중요한 부분을 차지하고 있다. 고객관계관리 기법 및 운용철학은 고객을 올바르게 이해하는데서 그치지 않고 고객행동을 사전적으로 예측하여 고객요구에 부응한 제품과 서비스를 제공하는 것만이 치열한 경쟁환경에서 생존함과 동시에 거듭된 성장을 이루는 유일한 해결책임을 강조한다. 고객관계관리는 데이터베이스마케팅과 같은 조직내 실무자 중심의 관점과 접근이 아니라 최고경영자의 마케팅 관점의 경영철학 구현을 통한 전사적이고 조직적인 참여가 이루어져야 한다. 그럼에도 불구하고 많은 기업들이 고객관계관리 기법을 도입하고 구축하는 과정에서 이러한 점을 간과해 왔으며 그 결과, 고객관계관리를 통해 수익성을 높인 기업이 있는 반면에 고객관계관리에 엄청난 비용만을 투입하고 별다른 성과를 거두지 못한 기업들도 다수이다. 본 연구는 CRM구축 및 실행과정에서의 성공요인을 기존 연구와 달리 마케팅적 관점에서 발견해 내고 있다. 시장지향성과 고객지향성이라는 마케팅 철학에서부터 고객정 보지향성과 핵심고객지향이라는 실무적 개념까지 포함해서 마케팅적인 관점에서의 성공적 CRM구축을 위한 선행요인을 발견하고, 이러한 요인들이 마케팅관점의 관계품질과 실무적인 CRM성과에 어떤 영향을 미치는지를 분석함과 동시에 관계품질과 CRM성과 간의 관계의 강도까지 실증적으로 분석해 보았다. 경험적 분석 결과 본 연구에서 구축한 마케팅관점의 CRM선행요인들 중에서 일부 요인을 제외하고는 대체적으로 관계품질 및 CRM성과를 높이는데 상당한 기여를 하고 있음이 확인되었으며, 영향관계의 정도에는 어느 정도 차이가 있음이 확인되었다. 또한 관계품질과 CRM성과 및 세부적 개념구성요인들 간에 매우 높은 정(+)의 관계가 존재함을 확인했다. 이는 CRM의 최종 성과를 달성하기 위해서 CRM구축 및 실행이후에 고객만족과 고객신뢰라는 개념적 연결고리를 강화함과 동시에 이러한 관계품질이 고객유지와 고객점유 정도의 향상으로 이어지도록 하는 창조적 전술개발이 요구됨을 의미한다. CRM을 구축 및 실행하는 대부분의 기업들이 조급하게 재무적인 성과를 기대하는 경향이 있는데, CRM은 마케팅철학을 포함하는 장기적인 경영활동임을 주지해야 한다. 기존의 많은 연구들이 취하고 있는 연구맥락에 근거해서 기술적인 시스템만을 갖추었다고 하여 단기적인 성과를 바라는 것은 오히려 비용의 낭비만을 초래 할 수 있음에 주목해야 한다. 본 연구결과를 바탕으로 CRM의 성공적 구축을 통해 관계품질을 강화하는 것에 대한 전략적 통찰을 제공함과 동시에 실질적인 CRM성과를 달성하기 위한 마케팅 관점의 연결구조를 어떻게 효율적으로 강화할 수 있을 것인가에 대한 학술적이고 실무적인 시사점을 도출했다.

• 대한교통학회:학술대회논문집
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• 대한교통학회 1995년도 제27회 학술발표회
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• pp.101-113
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• 1995

The objective of this research is to test the feasibility of developing a statewide truck traffic forecasting methodology for Wisconsin by using Origin-Destination surveys, traffic counts, classification counts, and other data that are routinely collected by the Wisconsin Department of Transportation (WisDOT). Development of a feasible model will permit estimation of future truck traffic for every major link in the network. This will provide the basis for improved estimation of future pavement deterioration. Pavement damage rises exponentially as axle weight increases, and trucks are responsible for most of the traffic-induced damage to pavement. Consequently, forecasts of truck traffic are critical to pavement management systems. The pavement Management Decision Supporting System (PMDSS) prepared by WisDOT in May 1990 combines pavement inventory and performance data with a knowledge base consisting of rules for evaluation, problem identification and rehabilitation recommendation. Without a r.easonable truck traffic forecasting methodology, PMDSS is not able to project pavement performance trends in order to make assessment and recommendations in the future years. However, none of WisDOT's existing forecasting methodologies has been designed specifically for predicting truck movements on a statewide highway network. For this research, the Origin-Destination survey data avaiiable from WisDOT, including two stateline areas, one county, and five cities, are analyzed and the zone-to'||'&'||'not;zone truck trip tables are developed. The resulting Origin-Destination Trip Length Frequency (00 TLF) distributions by trip type are applied to the Gravity Model (GM) for comparison with comparable TLFs from the GM. The gravity model is calibrated to obtain friction factor curves for the three trip types, Internal-Internal (I-I), Internal-External (I-E), and External-External (E-E). ~oth "macro-scale" calibration and "micro-scale" calibration are performed. The comparison of the statewide GM TLF with the 00 TLF for the macro-scale calibration does not provide suitable results because the available 00 survey data do not represent an unbiased sample of statewide truck trips. For the "micro-scale" calibration, "partial" GM trip tables that correspond to the 00 survey trip tables are extracted from the full statewide GM trip table. These "partial" GM trip tables are then merged and a partial GM TLF is created. The GM friction factor curves are adjusted until the partial GM TLF matches the 00 TLF. Three friction factor curves, one for each trip type, resulting from the micro-scale calibration produce a reasonable GM truck trip model. A key methodological issue for GM. calibration involves the use of multiple friction factor curves versus a single friction factor curve for each trip type in order to estimate truck trips with reasonable accuracy. A single friction factor curve for each of the three trip types was found to reproduce the 00 TLFs from the calibration data base. Given the very limited trip generation data available for this research, additional refinement of the gravity model using multiple mction factor curves for each trip type was not warranted. In the traditional urban transportation planning studies, the zonal trip productions and attractions and region-wide OD TLFs are available. However, for this research, the information available for the development .of the GM model is limited to Ground Counts (GC) and a limited set ofOD TLFs. The GM is calibrated using the limited OD data, but the OD data are not adequate to obtain good estimates of truck trip productions and attractions .. Consequently, zonal productions and attractions are estimated using zonal population as a first approximation. Then, Selected Link based (SELINK) analyses are used to adjust the productions and attractions and possibly recalibrate the GM. The SELINK adjustment process involves identifying the origins and destinations of all truck trips that are assigned to a specified "selected link" as the result of a standard traffic assignment. A link adjustment factor is computed as the ratio of the actual volume for the link (ground count) to the total assigned volume. This link adjustment factor is then applied to all of the origin and destination zones of the trips using that "selected link". Selected link based analyses are conducted by using both 16 selected links and 32 selected links. The result of SELINK analysis by u~ing 32 selected links provides the least %RMSE in the screenline volume analysis. In addition, the stability of the GM truck estimating model is preserved by using 32 selected links with three SELINK adjustments, that is, the GM remains calibrated despite substantial changes in the input productions and attractions. The coverage of zones provided by 32 selected links is satisfactory. Increasing the number of repetitions beyond four is not reasonable because the stability of GM model in reproducing the OD TLF reaches its limits. The total volume of truck traffic captured by 32 selected links is 107% of total trip productions. But more importantly, ~ELINK adjustment factors for all of the zones can be computed. Evaluation of the travel demand model resulting from the SELINK adjustments is conducted by using screenline volume analysis, functional class and route specific volume analysis, area specific volume analysis, production and attraction analysis, and Vehicle Miles of Travel (VMT) analysis. Screenline volume analysis by using four screenlines with 28 check points are used for evaluation of the adequacy of the overall model. The total trucks crossing the screenlines are compared to the ground count totals. L V/GC ratios of 0.958 by using 32 selected links and 1.001 by using 16 selected links are obtained. The %RM:SE for the four screenlines is inversely proportional to the average ground count totals by screenline .. The magnitude of %RM:SE for the four screenlines resulting from the fourth and last GM run by using 32 and 16 selected links is 22% and 31 % respectively. These results are similar to the overall %RMSE achieved for the 32 and 16 selected links themselves of 19% and 33% respectively. This implies that the SELINICanalysis results are reasonable for all sections of the state.Functional class and route specific volume analysis is possible by using the available 154 classification count check points. The truck traffic crossing the Interstate highways (ISH) with 37 check points, the US highways (USH) with 50 check points, and the State highways (STH) with 67 check points is compared to the actual ground count totals. The magnitude of the overall link volume to ground count ratio by route does not provide any specific pattern of over or underestimate. However, the %R11SE for the ISH shows the least value while that for the STH shows the largest value. This pattern is consistent with the screenline analysis and the overall relationship between %RMSE and ground count volume groups. Area specific volume analysis provides another broad statewide measure of the performance of the overall model. The truck traffic in the North area with 26 check points, the West area with 36 check points, the East area with 29 check points, and the South area with 64 check points are compared to the actual ground count totals. The four areas show similar results. No specific patterns in the L V/GC ratio by area are found. In addition, the %RMSE is computed for each of the four areas. The %RMSEs for the North, West, East, and South areas are 92%, 49%, 27%, and 35% respectively, whereas, the average ground counts are 481, 1383, 1532, and 3154 respectively. As for the screenline and volume range analyses, the %RMSE is inversely related to average link volume. 'The SELINK adjustments of productions and attractions resulted in a very substantial reduction in the total in-state zonal productions and attractions. The initial in-state zonal trip generation model can now be revised with a new trip production's trip rate (total adjusted productions/total population) and a new trip attraction's trip rate. Revised zonal production and attraction adjustment factors can then be developed that only reflect the impact of the SELINK adjustments that cause mcreases or , decreases from the revised zonal estimate of productions and attractions. Analysis of the revised production adjustment factors is conducted by plotting the factors on the state map. The east area of the state including the counties of Brown, Outagamie, Shawano, Wmnebago, Fond du Lac, Marathon shows comparatively large values of the revised adjustment factors. Overall, both small and large values of the revised adjustment factors are scattered around Wisconsin. This suggests that more independent variables beyond just 226; population are needed for the development of the heavy truck trip generation model. More independent variables including zonal employment data (office employees and manufacturing employees) by industry type, zonal private trucks 226; owned and zonal income data which are not available currently should be considered. A plot of frequency distribution of the in-state zones as a function of the revised production and attraction adjustment factors shows the overall " adjustment resulting from the SELINK analysis process. Overall, the revised SELINK adjustments show that the productions for many zones are reduced by, a factor of 0.5 to 0.8 while the productions for ~ relatively few zones are increased by factors from 1.1 to 4 with most of the factors in the 3.0 range. No obvious explanation for the frequency distribution could be found. The revised SELINK adjustments overall appear to be reasonable. The heavy truck VMT analysis is conducted by comparing the 1990 heavy truck VMT that is forecasted by the GM truck forecasting model, 2.975 billions, with the WisDOT computed data. This gives an estimate that is 18.3% less than the WisDOT computation of 3.642 billions of VMT. The WisDOT estimates are based on the sampling the link volumes for USH, 8TH, and CTH. This implies potential error in sampling the average link volume. The WisDOT estimate of heavy truck VMT cannot be tabulated by the three trip types, I-I, I-E ('||'&'||'pound;-I), and E-E. In contrast, the GM forecasting model shows that the proportion ofE-E VMT out of total VMT is 21.24%. In addition, tabulation of heavy truck VMT by route functional class shows that the proportion of truck traffic traversing the freeways and expressways is 76.5%. Only 14.1% of total freeway truck traffic is I-I trips, while 80% of total collector truck traffic is I-I trips. This implies that freeways are traversed mainly by I-E and E-E truck traffic while collectors are used mainly by I-I truck traffic. Other tabulations such as average heavy truck speed by trip type, average travel distance by trip type and the VMT distribution by trip type, route functional class and travel speed are useful information for highway planners to understand the characteristics of statewide heavy truck trip patternS. Heavy truck volumes for the target year 2010 are forecasted by using the GM truck forecasting model. Four scenarios are used. Fo~ better forecasting, ground count- based segment adjustment factors are developed and applied. ISH 90 '||'&'||' 94 and USH 41 are used as example routes. The forecasting results by using the ground count-based segment adjustment factors are satisfactory for long range planning purposes, but additional ground counts would be useful for USH 41. Sensitivity analysis provides estimates of the impacts of the alternative growth rates including information about changes in the trip types using key routes. The network'||'&'||'not;based GMcan easily model scenarios with different rates of growth in rural versus . . urban areas, small versus large cities, and in-state zones versus external stations. cities, and in-state zones versus external stations.

• 한국해양환경ㆍ에너지학회지
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• 제16권1호
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• pp.9-16
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• 2013

해수 중 용존 이산화탄소 농도 증가가 두토막눈썹참갯지렁이(Perinereis aibuhitensis)의 세포내 에너지 할당(CEA, cellular energy allocation)에 미치는 영향을 알아보고자 0.39(대조구=390 ppmv), 3.03 (=3,030 ppmv), 10.3 (=10,300 ppmv), 그리고 30.1 (=30,100 ppmv) mM의 이산화탄소 농도를 갖는 해수에 청충을 7일간 노출하여 세포 에너지와 세포 전자전달체계(ETS, electro transport system) 활성을 분석하였다. 실험생물의 지질, 당질, 그리고 단백질 함량과 ETS로부터 에너지 소비율을 계산하여 CEA를 산출한 결과 이산화탄소 농도가 증가함에 따라 CEA가 감소하였다. 지질의 경우 이산화탄소 농도가 증가 할수록 지질함량도 증가하였으며, 당질은 이산화탄소 농도가 3.03 mM인 실험구에서 가장 낮고 10.3 mM인 실험구에서 일부 증가하였으나 가장 높은 농도에서는 다시 감소하는 경향을 보였다. 단백질은 이산화탄소 농도가 3.03 mM인 실험구에서는 영향이 없었지만, 10.3 mM 이상의 농도에서부터 유의한 수준의 CEA 감소가 나타났다. 에너지 소비율은 이산화탄소 최고 농도에서만 유의한 증가 현상이 나타났지만, CEA는 대조구와 비교해 3.03 mM의 실험구부터 감소하였다. 이산화탄소는 해수중 pH를 낮추어 시험생물에 스트레스를 증가시키고, 세포내 에너지 할당변화에 영향을 미친 것으로 판단된다. 해산 갯지렁이를 이용한 CEA 평가결과는 대기 중 이산화탄소의 증가 또는 이산화탄소 저감을 위해 추진되고 있는 해양 지중저장사업 과정에서 누출된 이산화탄소의 해양생태계 위해성을 예측하는 자료로 이용될 수 있을 것으로 판단된다.

• 유통과학연구
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• 제12권4호
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• pp.5-9
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• 2014

Purpose - The purpose of this study was to compare and contrast the applicability and effectiveness of both teukyakmeip contracts of Korea and consignment contracts of the United State to demonstrate the effectiveness and practicability of teukyakmeip in Korea. These are popular contract agreements between large retailers and their suppliers and vendors. In recent years, teukyakmeip was critically examined and scrutinized by the politicians, the media, and the public of Korea. Consequently, this paper focusesheavily on identifying and analyzing different types of contract agreements between large retailers and their suppliers that currently exist in Korea and compares and contrasts those analyzed contract agreements with teukyakmeip. The article also comparesand contrasts teukyakmeip with the consignment agreements of the United States to identify similarities and differences. Research design, data, and methodology - This study is a descriptive study and has used personal interviews to collect and analyze the data. This study also fits the definition of the case study wherein it is entirely focused on investigating a real-life event: analyzing and examining contract agreements in the distribution industry. Both randomly selected management and vendor representatives from the three major department stores, Lotte, Hyundai, and Shinsegae, in Korea were interviewed between July and September 2013. The analysis of the consignment agreement was conducted based on existing secondary data. Results - Although the evidence of the abuse of teukyakmeip and consignment by large retailers from both countries clearly exists, the findings suggestthat both contract agreements would remain as the most relevant and effective legal contracts between large retailers and their suppliers. Based on the comparisonanalysis of teukyakmeip and consignment, both contracts indicated that suppliers are fully responsible for inventory and inventory management. If sales person is necessary for promoting special product, then suppliers are responsible for providing a sales person and their wages under both contracts. However, American department stores, those located outside urban area, tend to use their own employees to perform special product and sales promotion. The retailersare fully responsible for any interior or floor design or redesign of the retail store to accommodate the products from vendors under consignment; however, both suppliers and retailers share the cost of designing and redesigning the interior to accommodate vendors'products under teukyakmeip. Suppliers are responsible for pricing and supplying the quantity of the products under both agreements. Both contracts allow special sales commission as long as vendors agreed. Vendors use this special commissionto introduce their new products or apply market penetration strategy. Conclusions -The findings of this study showed the changing pattern of contract agreements between large retailers and their suppliers from both countries. Furthermore, this study evidently generated policy implications of teukyakmeip which recently became the major social issue in Korea and attracted many policymakers to gain political points by criticizing the teukyakmeip system and the large retailers. The findings of the study would be valuable to policy makers in making appropriate decisions and to large retailers and vendors in making beneficial agreements. The major implication of this study is that teukyakmeip and consignment agreements include very similar or almost identical characteristics, and they are popular among department stores and suppliers. The issue of abolishing teukyakmeip in Korea needs to be examined cautiously because teukyakmeip is the best one available at the moment, and the study suggests that no one benefits from abolishing this system.

• 디자인학연구
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• 제20권3호
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• pp.61-72
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• 2007

1960년대 MIT에서 제작된 최초의 게임 Space War를 시작으로 짧은 기간 동안 게임산업은 급속도로 성장하고 방대해지면서 최근 발표된 게임들은 총합적 디자인의 결정체라고 봐도 무방하리만큼 콘텐츠를 이루는 구성요소가 무수히 많아졌다. 결국 게임을 개발함에 있어서 고려해야할 요소도 기하급수적으로 증가하여, 예산 및 인력, 시간투입 등에 대한 계획도 매우 복잡해질 수밖에 없다. 그러므로 성공적인 게임개발을 위해서는 게임을 구성하는 요소를 추출하고 각 요소별 중요도를 산출하여, 향후 개발되는 게임을 사전에 평가할 수 있는 방법이 무엇보다 절실하다. 이러한 기획은 진행과정에서 무수한 의사결정을 요구하게 되고, 의사결정 작업은 다수인자에 대한 문제, 요소들을 정량화시키기 어려운 불확실성의 문제, 결과가 지향하는 복잡한 다목적의 문제, 다수의 의사결정간의 혼선, 의사결정과정에 이르는 다단계의 우선순위 결정문제 등으로 인한 많은 어려움이 있다. 본 연구는 이러한 문제들을 총합적으로 해결하며, 불확실한 데이터를 정량화시켜 논리적이고 합리적인 대안을 제시할 수 있도록 계층화의사결정법을 제시하고자 하며, 현재 게임시장을 주도하고 있는 FPS게임을 대상으로 분석을 시도하였다. AHP분석에서 가장 중요한 것은 분석하고자 하는 대상의 요소들을 객관적으로 정확하게 분류하고 이를 계층화시키는 것과 요소간의 쌍대비교를 통한 중요도 추출이다. 본 연구는 이러한 요소추출과 요소간 중요도 산출 및 대안의 선정 2부분으로 구성되며, 그 중에서 본 논문은 델파이기법에 의한 FPS게임의 객관적 요소추출 및 계층화를 중심으로 하고 있다.

• 한국수자원학회논문집
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• 제40권10호
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• pp.769-781
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• 2007

요인분석은 시스템이나 현상에 대한 정보를 하고 관련 자료를 축약하는데 사용되는 다변량 분석기법의 하나이다. 이 기법은 변수들을 통계적 특성을 고려하여 몇 개의 요인들로 그룹화하고 분석결과는 중요도가 상대적으로 낮은 변수를 제거하는데 이용이 된다. 본 연구에서는 요인분석을 한강수계의 댐 군 연계운영에 대한 영향요인 추출에 적용하였다. 한강 수계에는 소양강댐, 충주댐과 같은 2개의 다목적 댐이 있으며, 이들은 이수기에 연계 운영되어 하류로 용수를 공급하고 발전을 실시하고 있다. 요인분석을 실시하기 위하여, 먼저 댐 운영에 관련된 자료(변수)들을 5개의 대분류(유입량, 용수수요량, 발전량, 저류량, 과거 운영 실적)로 나누어 수집하였다. 통계적 특성을 고려하여 수집된 변수 중에서 13개와 15개의 변수가 각각 선정되어 5개의 요인(소양강댐: 수문조건, 과거 댐 운영, 평수기 댐운영, 저류량 관리, 하류 댐 운영; 충주댐: 수문조건, 과거 댐 운영, 평수기 댐 운영, 용수수요, 하류 댐 운영)으로 분류되었다. 요인분석 결과의 적절성과 적용성을 평가하기 위하여 선정된 요인들을 설명변수로 이용하여 소양강댐과 충주댐의 연간 발전량을 예측하는 다중회귀모형을 개발하여 결과의 적용성을 평가하였으며, 댐군 운영에 사용된 목적함수들의 구성항목들과 비교하여 요인선정의 적절성을 평가하였다. 두 가지 고찰 과정을 통하여 본 연구에서 적용된 요인 추출방법이 만족할 만한 결과를 나타냄을 알 수 있었다. 또한, 추출된 요인들은 미래 상황과 과거 결과를 고려한 댐 운영 계획 수립에 적용이 가능할 것으로 사료된다.분뇨내 악취물질 발생량을 감소 시켰다. 운전 중 전체 공정은 안정적으로 작동하는 것을 확인할 수 있었다. 본 연구를 통해 다단계 막분리 공정을 통한 배가스에서 $CO_2$를 성공적으로 분리할 수 있었다.(AFM)과 Scanning Electron Microscopy(SEM)을 통해 관찰한 GST 다층박막시료의 고온 열처리 전후 표면미시거칠기 변화도 PRAM 기록기를 사용할 때에는 in-situ 타원계를 사용할 때보다 1/10 정도의 크기를 보여주어 PRAM 기록기와 분광타원계를 사용하여 결정한 GST의 고온광학물성의 신뢰성을 확인하여 주었다.>, 여자 $179.1{\pm}37.2%$이었다. 평균필요량에 비해 가장 낮은 양을 섭취한 영양소는 엽산으로서 남자 $60.1{\pm}10.8%$, 여자 $54.6{\pm}9.9%$로 조사되었다. 칼슘의 섭취량은 평균필요량에 비해 전체 $74.9{\pm}31.9%$로 나타났다. 에너지 섭취량에 있어서 남자 노인들은 모두가 필요추정량의 75% 미만을 섭취하고 있었고 여자 노인의 경우에도 97%가 필요추정량의 75% 미만을 섭취하여 에너지 섭취량이 매우 낮았다 반면에 단백질 섭취량에 있어서는 남자 노인의 경우 100%가 평균필요량의 125%를 초과하였고, 여자 노인의 경우에는 91%가 평균필요량의 125%를 초과하여 대조적이었다. 비타민 A와 E는 각각 평균필요량과 충분섭취량의 125%를 초과하는 비율이 높게 나타난 반면에 비타민 $B_2$는

• 한국직업건강간호학회지
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• 제6권2호
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• pp.144-155
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• 1997

In December 1990, Occupational Safety and Health Law was amended to reinforce employer's responsibilities on employees' health and safety. Among the amended law it was important to expand the role of an occupational health nurse to the role of an occupational health manager. An occupational health manager should take charge of coordinating periodic health examination and environmental hazard evaluation, providing primary care, monitoring employees' health status, giving the workplace walk-through, selecting safe protection equipment, providing health information, counseling and health education, independently. This position of occupational health nurse is equivalent to the role of doctors or occupational hygienists. In 1991, government made a master plan to prevent occupational disease and injury. Under the plan, Korea Industrial Nursing Association (KINA) was established in 1994 with the purpose of improving health services and upgrading career opportunities for members. Therefore, this study was designed to analyze the transition of occupational health nursing education with the changes of law and policy in Korea between 1991 and 1996. In details, it was to analyze the rate of school providing occupational health nursing practice based lecture, lecture hours, lecture contents in undergraduate curriculum, program contents of graduate school, kinds of continuing education, etc. For this purpose, we conducted survey two times. In February 1991, baseline study was conducted with all nursing programs in Korea (19 BSN programs and 43 nursing departments of junior college). From April to May in 1996, the second survey was conducted with all nursing programs (38 BSN programs and 69 junior colleges). The first response rate was 66.1% and the second was 40.6%. Structured questionnaires were mailed to the deans or the community health nursing faculties. In the case of graduate school, telephone survey was conducted with 10 school of public health or environmental health area. Data from the yearbook of Industrial Safety Training Institute (ISTI), the history of Korea Industrial Health Association, and the journals of KINA were also included in the analysis. As the results, we found that there were remarkable improvement in undergraduate and graduate programs, obligatory as well as voluntary continuing education in terms of occupational health nursing expertise between 1991 and 1996. 1) The number of school providing occupational health nursing practice-based lecture was increased with the rate from 7.3% to 25.6%. The rate of school giving over 15 class-hours was increased from 33.3% to 46.6%. 2) Content areas were composed of introduction of occupational health, occupational epidemiology, industrial hygiene, occupational disease and injury, law and policy, health education, concept of occupational health nursing, role of occupational health nurse, occupational health nursing process, etc. Of content areas, occupational health nursing process was more emphasized with the increased rate from 43.9% to 88.4%. 3) In the case of graduate school, occupational health programs were increased from 4 to 10. One of them has developed occupational health nursing program as an independent course since 1991. 4) The law increased educational hours from 28 hours to 36 hours for introductory course at the time of appointment, and from 14 hours to 24 hours every 2 years for continuing education. Course contents were Occupational safety and health law, introduction of occupational health, health education methodology, planning and evaluation, periodic health exam, occupational disease care, primary care, emergency care, management, industrial environment evaluation, etc. In 1996, Korea Industrial Nursing Association has begun to provide continuing education after Industrial Safety Training Institute. 5) Various educational programs in voluntary base were developed such as monthly seminar, CE articles, annual academic symposium, etc. It was shown that changes of law and policy led rapid growth of occupational health nursing education in various levels. From this trend, it is expected that occupational health nurse expertise be continuously to be enhanced in Korea. Legal and political supports should proceed for the development of occupational health nursing in early stage.

• 벤처창업연구
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• 제7권1호
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• pp.189-206
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• 2012

최근 탈공업화와 산업의 서비스화로 서비스산업 뿐만 아니라 제조업 등 2차 산업에 있어서의 서비스 비중은 나날이 커지고 있어 금융 및 서비스업 그리고 제조업의 사무 서비스부문의 경영혁신이 절실한 실정이다. 급변하는 경영환경에 적극적으로 대처하기 위해 기업들은 여러 가지 경영혁신 방법을 도입하고 있다. 특히, 우리나라의 경우에는 선진기업의 혁신활동에 대해서는 유행적으로 도입하여 적용하고 있는 실정이다. 이러한 측면에서 1990년대 중반부터 6시그마(Six Sigma)가 도입되어 10년 이상을 경영혁신활동의 대명사가 되어 활발하게 추진하여 왔다. 그러나 6시그마는 도입 초기의 기대에 미치지 못하고 있다는 지적과 최근 들어 한국기업이 금융시장의 불안, 경기 침체 및 중국 등 후발 국가로부터 많은 도전을 받고 있는 상황에서 '린(Lean)' 이라는 혁신활동이 국내에 소개되고, 도요타자동차의 성장으로 린의 모태인 도요타 생산방식(Toyota Production System, TPS)이 다시 각광을 받으면서 린에 대한 관심이 집중되고 있다. 본 연구에서는 우선 린 경영의 진화과정 및 특징의 기존 연구를 고찰하고 제조부문과 사무 서비스부문과의 차이점을 비교 연구하였다. 다음으로 우리나라 기업의 혁신 담당자를 대상으로 설문조사를 실시한 다음, 사무 서비스부문에서의 린 적용에 대한 실행 모델을 제시하고 적용하였다. 그 동안 제조부문에서는 린에 대한 성공사례도 많고 이와 관련된 연구 또한 많이 수행되어 왔다. 그러나 사무 서비스부문에서의 린 적용에 대한 연구는 아직 그 활용이 초기 단계로 관련 연구가 많지 않은 상태이며 실증연구는 거의 찾아보기 어려운 실정이다. 본 연구는 린 경영의 이론적 고찰을 바탕으로 린 경영의 성공요인을 도출하고 기업에서 실질적으로 린을 추진하고 있는 추진자들을 대상으로 실증 연구를 하였다. 이는 린 경영이 최근 우리나라에 도입되고 있는 상황에서 어느 정도 향도로서의 역할을 할 수 있을 것으로 판단한다. 본 연구는 린을 적용하고 있는 기업 또는 경쟁력 강화를 위해 새롭게 린 경영 도입을 검토하고 있는 기업 및 동 주제에 대한 연구자들에 대하여 사무 서비스부문에서 효율적이고 성공적인 린 경영 추진을 위한 올바른 방향을 제시했다는데 의의가 있다 하겠다.

• 인터넷정보학회논문지
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• 제17권1호
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• pp.23-33
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• 2016

현재의 스마트 조명은 센서를 통해 사용자의 행위와 위치를 판별한 후 현재 상황에 적합한 조명 환경이 서비스되도록 구성되어 있다. 이러한 센서 기반의 상황인식 기술은 현재까지 단일 사용자만을 고려할 뿐 여러 사용자들의 다양한 상황 발생과 충돌을 해석하기 위한 연구는 미흡하다. 기존 연구에서는 상황충돌을 해결하기 위한 방법론으로 퍼지이론 및 ReBa 등의 알고리즘을 사용해 왔다. 이는 사용자들이 위치한 공간을 여러 영역으로 구분한 후 각 구역별로 서비스를 제공함으로써 발생 가능한 상황충돌의 기회를 회피할 뿐 개인 선호도 기반의 상황충돌 해석이 가능한 맞춤형 서비스 유형으로 볼 수 없다. 본 논문에서는 여러 사용자에게 다양한 상황이 동시 발생되어 서비스 충돌에 직면할 때, 상황의 유형에 따라 부여된 우선순위를 기준으로 서비스를 결정하는 우선순위 기반 다중 상황충돌 해석이 가능한 LED 조명제어시스템을 제안한다. 본 연구에서는 주거환경을 'Living Room', 'Bed Room', 'Study Room', 'Kitchen', 'Bath Room'의 5개 구역으로 구분하고 여러 명의 사용자를 대상으로 각 구역 내에서 발생 가능한 상황들을 'exercising', 'doing makeup', 'reading', 'dining', 'entering' 등 총 20가지로 정의한다. 시스템은 온톨로지 기반 모델을 이용하여 사용자의 다양한 상황을 정의하고 규칙기반의 룰 및 추론엔진을 통해 사용자 중심의 조명환경을 서비스한다. 또한 동일 공간 및 동일 시점에 사용자들 간의 다양한 상황충돌 이슈를 해결하기 위해 사용자 집중력이 요구되는 상황을 최우선으로 정하고, 동일한 우선순위를 가진 상황일 경우 시각적 편안함을 차선으로 순위를 부여하여 충돌 발생 시 서비스 선택의 기준으로 활용한다.