• Title/Summary/Keyword: Cost Behaviors

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The Study of the Effect of Shopping Value on Customer Satisfaction, and Actual Purchase Behavior (쇼핑가치가 고객만족과 구매행동에 미치는 영향에 관한 연구 - 백화점 쇼핑행동을 중심으로 -)

  • Ahn, Kwangho;Lim, Byunghoon;Jung, Suntae
    • Asia Marketing Journal
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    • v.10 no.2
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    • pp.99-123
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    • 2008
  • Consumer satisfaction/dissatisfaction is key determinant of brand loyalty and store patronage behavior. But the results of many customer satisfaction surveys implemented by department stores show that consumer satisfactions do not predict the actual patronage behaviors well. The main reason of these surprising results would be that the consumer satisfaction indexes do not include some important determinants of consumer satisfaction. Many customer satisfaction surveys mainly focus on the evaluation of functional benefits including product assortments, merchandise prices and locational convenience. Recent studies indicate that emotional/hedonic benefits strongly influence the consumer satisfaction, intention to repurchase and intention to revisit. Our study suggests that both functional values and hedonic values should be included in developing the index of consumer satisfactions. The purpose of our study is to investigate the relationship between shopping value and consumer satisfaction, and actual patronage behavior. Shopping values is defined as the difference between total benefits and total shopping costs. Total benefits include the dimensions of product quality, service quality, and hedonic benefits. Total costs are classified as the monetary costs and non-monetary cost. The conceptual framework developed for this empirical study is as follows.

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DFT를 사용한 고속 constant modulus algorithm 의 성능분석

  • Yang, Yoon-Gi;Lee, Chang-Su;Yang, Soo-Mi
    • Journal of IKEEE
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    • v.13 no.1
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    • pp.1-10
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    • 2009
  • Recently, some frequency domain CMA (Constant Modulus Algorithm) have been introduced in an effort to reduce computational complexities [1,2]. In [1], a fast algorithm that minimizing cost function designed for block input signal is employed, while in [2], a novel cost function that minimizing sample by sample input is used. Although, the two fast algorithm save computational complexities as compared to CMA, the convergence behaviors of the two fast algorithm show different results with repsect to CMA. Thus, in this paper, some analytical results on the error surface of the fast frequency domain CMA are introduced. From the analytical results, we show that the more recent algorithm [2] outperforms the previous algorithm [1]. Simulation results reveals that the recent algorithm [2] shows 50% enhanced convergence with respect to the old fast algorithm [1]. Also, we show that the recent fast algorithm [2] has comparable convergence performance with respect to conventional CMA algorithm.

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Region and Movement Based Adaptive Location Management for Wire/Wireless Convergent Networks based-on Cognitive Networking (인지 네트워킹기반 유무선 융합망에서의 영역과 이동 임계치를 기반으로 한 적응형 이동성 관리)

  • Kwon, Eun-Mi;Kim, Jeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.6
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    • pp.77-82
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    • 2012
  • In this paper, the new location management scheme based on region and movement threshold has been proposed in order to minimize the required cost to handle the resource location management signaling traffics under the wire/wireless convergent networks when the users are moving around the cold and hot regions. In this scheme, the sequential paging is supposed to be performed according to the movement threshold which can be changed in accordance with the number of movements that each mobile user had made while it is moving around the resource regions. With the proposed scheme, the cost of managing the location management traffics and efficient spectrum assignment overhead can be minimized by placing signaling traffics for location managements and also allocating radio spectrum considering individual movement behaviors.

Affordable method of video recording for ecologists and citizen-science participants

  • Yang, Eunjeong;Lee, Keesan;Ha, Jung-moon;Kim, Woojoo;Song, Ho-Kyung;Hwang, Injae;Lee, Sang-im;Jablonski, Piotr G.
    • Journal of Ecology and Environment
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    • v.42 no.2
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    • pp.85-89
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    • 2018
  • Observations and video documentation of interactions between animals living in dens, cavities, and other enclosed spaces are difficult, but they play an important role in field biology, ecology, and conservation. For example, bird parents visiting nests and feeding their nestlings may provide crucial information for testing of ecological hypotheses and may easily attract attention of participants of citizen-science ecological and conservation projects. Because of the nest concealment of cavity-nesting birds, their behaviors in the nest can only be studied by using video surveillance. Professional wildlife surveillance systems are extremely expensive. Here, we describe an inexpensive video setup that can be constructed with relatively little effort and is more affordable than any previously described system. We anticipate that the relatively low cost of about 250 USD for a battery-operated system is an important feature for citizen-science type of projects and for applications in heavily populated areas where the potential for theft and vandalism may be high. Based on our experiences, we provide methodological advice on practical aspects of using this system in the field for ecological research on birds. We highlight the low cost, easiness of construction, and potential availability to a large number of observers taking part in wildlife monitoring projects, and we offer technical help to participants of such research projects.

Purchasing Behaviors of Budget-priced Cosmetics According to the Shopping Orientation and Demographics (쇼핑성향과 인구통계적 변인에 따른 초저가 화장품의 구매행동)

  • Hyun, Jung-Hee;Choo, Tae-Gue
    • Fashion & Textile Research Journal
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    • v.7 no.6
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    • pp.624-632
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    • 2005
  • The purpose of this study was to examine the consumers' purchasing behavior of budget-priced cosmetics according to the shopping orientation. Questionnaires used for this study were composed of 57 questions including 21 questions about cosmetic shopping orientation, 32 questions about budget-priced cosmetic purchasing behavior and four questions about demographic variables. Questionnaires were administrated to 20 to 49 aged 317 women who have shopping experience on budget-priced cosmetics. Data were analyzed by using factor analysis, cluster analysis, ANOVA, ${\chi}^2$-test, correlation, crosstabulation analysis, and scheffe test utilizing SPSS/WIN. The results were as follows. First, shopping orientation of cosmetics were classified into 5 factors: 'interest and impulsive purchasing tendency', 'price-oriented purchasing tendency', 'ration-oriented purchasing tendency', 'famous brand-oriented purchasing tendency' and 'brand royalty- oriented purchasing tendency'. According to the shopping orientation of cosmetics, the respondents were classified into 4 groups: 'passive shopping group', 'rational shopping group', 'active shopping group', 'neutral shopping group'. Second, when comparing each group's purchasing behavior of budget-priced cosmetics with shopping orientation of cosmetics, there was not significant difference in one time purchasing cost and the number of shop visits. In case of demographic variables concerning purchasing behavior of budget-priced cosmetics, there was significant differences in one time purchasing cost according to age, level of education and employment status. The number of shop visits had also difference according to age, level of education and monthly family income. Based on these results, marketing strategies for demographic characteristics of target market rather than the shopping orientation are needed.

Optimization of Reinforced Concrete Frames Subjected to Dynamic Loads (동적 거동을 받는 철근 콘크리트 뼈대 구조의 최적화)

  • Park, Moon Ho;Kim, Sang Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.14 no.3
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    • pp.439-452
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    • 1994
  • A method to optimize the cost of R/C frames and an algorithm of the optimal limit state design for R/C frames subjected to dynamic loads are presented. The modal superposition method was used to find the dynamic responses of the frames. Each member of R/C frame is made up of more than two elements and the stiffness matrix and consistent mass matrix of three d.o.f in the node of each element was used to include axial, shear and flexural effects. The objective function to be minimized formulated the cost of materials, steel and concrete, and optimised to satisfy the behaviors of R/C frame and each constraint imposed by the limit state requirements. Both objective function and each constraint are derived in terms of design variables which include the effective depth, beam width, compression and tension steel area, and column shear steel area. A few applications are presented which demonstrate the feasibility, the validity and efficiency of the algorithm for automated optimum design of R/C frames where dynamic behavior is to be considered.

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A Kth Shortest Path Algorithm with the Link-Based Label Setting Approach and Its Application for An Alternative Routes Selection (링크표지확정 다수경로탐색 알고리즘과 대안경로선정을 위한 활용)

  • Lee, Mee-Young;Baik, Nam-Cheol;Kang, Weon-Eui;Shin, Seong-Il
    • Journal of Korean Society of Transportation
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    • v.22 no.4 s.75
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    • pp.85-96
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    • 2004
  • Given a Path represented by a sequence of link numbers in a transportation network, the reasonable path is defined as a path that any link is appeared multiple times in it. Application of the link labelmethod(LLM) to the shortest path algorithms(SPA) enables to model the reasonable path choice behavior in urban networks. This study aims at expanding the LLM to a Kth shortest path algorithms(KPSA), which adopts the node label setting method. The small-scaled network test demonstrated that the proposed algorithm works correctly and the revised Sioux fall network test showed that the path choice behaviors are reasonably reflected. In the large-scaled network based on the South Korea peninsula, drivers' route diversion perceptions are included as cost terms in total cost. The algorithm may be applied as an alternative route information tools for the deployment of ATIS.

An experimental study on mechanical behavior of shield segment with high-strength concrete and high-tension rebar (고강도 콘크리트와 고장력 철근을 적용한 쉴드 세그먼트의 역학적 거동에 대한 실험적 연구)

  • Lee, Gyu-Phil;Park, Young-Taek;Choi, Soon-Wook;Bae, Gyu-Jin;Chang, Soo-Ho;Kang, Tae-Sung;Lee, Jin-Seop
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.14 no.3
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    • pp.215-230
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    • 2012
  • An experimental research on the possibility of using high-strength concrete with the design strength of 60 MPa and high-tension rebar with the yielding strength of 600 MPa instead of conventional reinforced concrete segment to reduce its production cost was performed. Full-scale bending tests on both conventional and high-strength reinforced concrete segments were carried out to compare their mechanical and structural behaviors of the segments under flexural action. From the experiments, it was shown that the failure load of high-strength reinforced concrete segment was approximately 30% higher than that of the conventional segment even though reinforcements in high-strength segment were reduced by 26%. The test result showed that the bearing capacity of high-strength segment highly increased by high-strength concrete and high-tension rebar. It also verified the high possibility of high-strength reinforced concrete segment as a technical alternative to reduce the production cost of segments in a shield tunnel.

Evolving Team-Agent Based on Dynamic State Evolutionary Artificial Neural Networks (동적 상태 진화 신경망에 기반한 팀 에이전트의 진화)

  • Jin, Xiang-Hua;Jang, Dong-Heon;Kim, Tae-Yong
    • Journal of Korea Multimedia Society
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    • v.12 no.2
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    • pp.290-299
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    • 2009
  • Evolutionary Artificial Neural Networks (EANNs) has been highly effective in Artificial Intelligence (AI) and in training NPCs in video games. When EANNs is applied to design game NPCs' smart AI which can make the game more interesting, there always comes two important problems: the more complex situation NPCs are in, the more complex structure of neural networks needed which leads to large operation cost. In this paper, the Dynamic State Evolutionary Neural Networks (DSENNs) is proposed based on EANNs which deletes or fixes the connection of the neurons to reduce the operation cost in evolution and evaluation process. Darwin Platform is chosen as our test bed to show its efficiency: Darwin offers the competitive team game playing behaviors by teams of virtual football game players.

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Analysis of Influencing Factors of Traveler Detour Making Behavior for Providing Freeway VMS Information (고속도로 VMS 정보 제공 시 우회율 산출에 관한 연구)

  • Choi, Jai-Sung;Sung, Hyun-Jin;Kim, Sang-Youp;Park, Jun;Kang, Weon-Eui
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.3
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    • pp.41-50
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    • 2010
  • This paper presents an investigation result that is made to determine dominant influencing factors and their specific impacts on motorist detour makings for VMS placements on freeway. This was necessary to provide engineers with a tool for evaluating VMS cost-effectiveness and its feasibility. This research found that additional travel time delay is the most influential variable in determining motorist detour makings. Also, more than 70% freeway motorists recognize the adjacent national roads as their detour routes, and both AADT and the distance to the entering point of the detour path are found to be dominating factors. Motorist detour ratio model by VMS placement on freeway is developed based on the Stated Preference. In model validation, actual detour making behaviors observed by the Revealed Preference values verify the detour ratio on the Stated Preference. These research findings should be useful for cost-effective placements of VMS on freeway, and it is recommended that the results be tested by practicing engineers in the ITS sector.