• Title/Summary/Keyword: multidimensional construct

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A Study on Development of Brand Positioning Map for Ladies' Ready-to-Wear Utilizing Multidimensional Scaling Method (다차원척도법을 이용한 여성기성복 상표 포지셔닝 연구)

  • Oh Hyun-Ju;Rhee Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.14 no.2
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    • pp.129-136
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    • 1990
  • The purpose of the study was to develope brand positioning map for ladies' ready-to-wear, to find out evaluative criteria in perception and preference to brands, and to persent the relationship between consumer's characteristics and brand preference. Subjects were selected for the housewives of middle and high socioeconomic classes living in Seoul area. A questionnaire including items of life style, self image, similarity between brands, preference degree to brands, and demographic variables was developed for the empirical study. The questionnaire was administrated to 137 housewives during fall in 1989. Data were analyzed by cluster analysis and multidimensional scaling method. The study had two research problems. The first research problem was to construct a brand perceptual map for ladies' ready-to-wear brands, selected for the study The perceptual map was constructed on the basis of brand similarity scores by multidimensional scaling method. As a result, brands were grouped into 4 clusters, and evaluative criteria for perceptual map were found to be fashionability (classic- fashionable) and familiarity (familiar-unfamiliar). The second problem was to construct a brand preference map for ladies' ready-to-wear brands, selected for the study. The preference map was constructed on the basis of brand preference scores by multidimensional scaling method. As a result, the brands were grouped into 4 clusters and evaluative critiera for preference map were found to be fashionability (unfashionable-fashionable) and image to age (mature-young directed). Also was shown the relationship among self image, age, socioeconomic class, and brand preference. The multidimensional scaling method was found to be useful as well as valid instrument for brand positioning research and the result can be utilized for establishing strategies for ladies' ready-to-wear brands.

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Composition,Dimensional Issue and Nature of Entrepreneurial Orientation (EO) Construct

  • Gupta, Rakesh;Sebastian, V.J.
    • Asia-Pacific Journal of Business
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    • v.5 no.1
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    • pp.23-31
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    • 2014
  • Entrepreneurship is considered as an important driver of economic growth, new firm creation, business rejuvenation& job creation. Over a period of time research within entrepreneurship literature has shifted from entrepreneur and his personality to his behavioral disposition. This has led to emergence of entrepreneurial orientation (EO) construct, which focuses on the process of entrepreneurship at firm level and it has emerged as the most widely researched area within entrepreneurship field. Though research in this field has been rigorous and exhaustive, still there have been concerns that researchers might have prematurely agreed on the composition, dimensionality, and nature of EO Construct. There has been considerable debate about whether EO Construct comprises three or five dimensions, about co-variance or independence of these dimensions and nature of construct whether formative or reflective. This article builds an argument about the multidimensional nature of EO construct comprising five dimensions, which vary independently and the fact that EO is better explained through formative construct rather than reflective one.

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A Study on Multi-Dimensional learning data composition based on Wi-Fi radio fingerprint (Wi-Fi 전파 지문 기반 다차원 학습 데이터 구성에 관한 연구)

  • Yoon, Chang-Pyo;Hwang, Chi-Gon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.639-640
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    • 2018
  • Currently, the technique of identifying location using radio wave fingerprint is widely used in indoor positioning field. At this time, in order to confirm a successful position, it is necessary to construct the data necessary for learning and testing and to construct the multidimensional data. That is, location data collection and data management technology capable of responding to environmental changes that may occur due to various changes in peripheral radio wave fingerprint such as wireless AP, BLE iBeacon, and mobile terminal are required. Therefore, this paper proposes a technique to construct and manage multidimensional data which is less sensitive to environmental changes of radio wave fingerprinting required for positioning.

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A Multidimensional View of SNS Usage: Conceptualization and Validation

  • Edgardo R. Bravo;Christian Fernando Libaque-Saenz
    • Asia pacific journal of information systems
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    • v.32 no.3
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    • pp.601-629
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    • 2022
  • Social networking sites (SNSs) have become an essential part of people's lives. It is thus crucial to understand how individuals use these platforms. Previous literature has divided usage into numerous activities and then grouped them into dimensions to avoid excessive granularity. However, these categories have not been derived from a uniform theoretical background; consequently, these dimensions are dispersed, overlapping, and disconnected from each other. This study argues that "SNS usage" is a complex phenomenon consisting of multiple activities that can be grouped into dimensions under the umbrella of communication theories and these dimensions are related to each other in a particular multi-dimensional architecture. "SNS usage" is conceptualized as a third-order construct formed by "producing," "consuming," and "communicating." "Producing," in turn, is proposed as a second-order construct manifested by "commenting," "general information sharing," and "self-disclosure." The proposed model was assessed with data collected from 414 USA adult users and PLS-SEM technique. The results show empirical support for the theorized model. SNS providers now have this architecture that clarifies the role of each dimension of use, which will allow them to design effective strategies to encourage the use of these networks.

Qualitative Elicitation of Multidimensional Korean Sensory Descriptors and Their Definitions Using Focus Group Interview (Focus Group Interview (FGI)를 통한 다차원적 감각 특성 용어 및 정의의 질적 도출)

  • Hong, Jae-Hee
    • Journal of the Korean Society of Food Culture
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    • v.31 no.1
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    • pp.96-104
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    • 2016
  • Recently, food industries are increasingly interested in launching ethnic foods in the global market, but communicating sensory information to target consumers has been complicated due to the ambiguity and complexity of Korean sensory descriptors. This study was conducted to elicit various multidimensional sensory descriptors and their definitions using focus group interviews (FGI). Two consumer groups, consisting of 10 panelists in their 20s and 10 panelists in their 30-40s respectively, participated in the FGI. A total of 14 commonly used multidimensional sensory descriptors, including gamchilmat (감칠맛), gaeun (개운), goso (고소), gusu (구수), kkal-kkeum (깔끔), neu-kki (느끼), dambaek (담백), birin (비린), siwon (시원), sikeum (시큼), ssapssarae (쌉싸래), eolkeun (얼큰), jjapjoreum (짭조름), and kalkal (칼칼), were elicited. Their definitions showed that these descriptors not only were constructed using several sensory elements but also contained hedonic connotations. Descriptors such as gaeun, siwon, and kkal-kkeum were more closely associated with overall sensory impressions, including aftersensations and post-ingestive effects rather than sensory concepts. As individuals tend to weigh different elements to construct the concept for each multidimensional descriptor, further studies are required to identify elements consisting of these descriptors to develop better test methods and gain a clearer understanding of the sensory profiles of Korean foods.

Validity and Reliability of Translated Multidimensional Assessment of Fatigue Scale for the Patients with Rheumatoid Arthritis (류마티스 관절염환자용 다차원적 피로척도의 타당도 및 신뢰도)

  • Lee, Kyung-Sook;Lee, Eun-Ok
    • Journal of muscle and joint health
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    • v.5 no.2
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    • pp.206-221
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    • 1998
  • The purpose of this study was to validate translated Multidimensional Assessment of Fatigue(MAF) scale. The scale is a 16-item scale that measures four dimensions of fatigue : severity, distress, impact, timing. Fourteen items are numerical rating scales and 2 items have multiple choice responses. Data were collected from the 137 patients with rheumatoid arthritis after content validation. Criterion validity was tested by correlation coefficient with Piper Fatigue Scale, which resulted in 0.7573(p<.0000). Construct validity was tested by item analysis and factor analysis. Corrected item-total correlation coefficients were 0.63-0.88. And factor analysis showed 2 factors : fatigue degree factor and fatigue impact factor. These two factors explained 73.5% of total variance. Reliability of internal consistency was 0.96 in Cronbach's alpha. Further validation study is necessary in each factor in other settings with other subjects.

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Theoretical Studies of Surface Diffusion : Multidimensional TST and Effect of Surface Vibrations

  • 곽기정;신석민;이상엽;신국조
    • Bulletin of the Korean Chemical Society
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    • v.17 no.2
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    • pp.192-198
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    • 1996
  • We present a theoretical formulation of diffusion process on solid surface based on multidimensional transition state theory (TST). Surface diffusion of single adatom results from hopping processes on corrugated potential surface and is affected by surface vibrations of surface atoms. The rate of rare events such as hopping between lattice sites can be calculated by transition state theory. In order to include the interactions of the adatom with surface vibrations, it is assumed that the coordinates of adatom are coupled to the bath of harmonic oscillators whose frequencies are those of surface phonon modes. When nearest neighbor surface atoms are considered, we can construct Hamiltonians which contain terms for interactions of adatom with surface vibrations for the well minimum and the saddle point configurations, respectively. The escape rate constants, thus the surface diffusion parameters, are obtained by normal mode analysis of the force constant matrix based on the Hamiltonian. The analysis is applied to the diffusion coefficients of W, Ir, Pt and Ta atoms on the bcc(110) plane of W in the zero-coverage limit. The results of the calculations are encouraging considering the limitations of the model considered in the study.

A Tuning Algorithm for the Multidimensional Type Inheritance Index of XML Databases (XML 데이터베이스 다차원 타입상속 색인구조의 조율 알고리즘)

  • Lee, Jong-Hak
    • Journal of Korea Multimedia Society
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    • v.14 no.2
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    • pp.269-281
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    • 2011
  • For the MD-TIX(multidimensional type inheritance index) that supports query processing for the type inheritance concept in XML databases, this paper presents an index tuning algorithm that enhances the performance of the XML query processing according to the query pattern. The MD-TIX uses a multidimensional index structure to support complex XML queries involving both nested elements and type inheritance hierarchies. In this index tuning algorithm, we first determine a shape of index page regions by using the query information about the user's query pattern, and then construct an optimal MD-TIX by applying a region splitting strategy that makes the shape of the page regions into the predetermined one. The performance evaluation results indicate that the proposed tuning algorithm builds an optimal MD-TIX by a given query pattern, and in the case of the three-dimensional query regions for the nested predicates of path length 2, the performance is much enhanced according to the skewed degree of the query region's shape.

Selectivity Estimation for Multidimensional Sequence Data in Spatio-Temporal Databases (시공간 데이타베이스에서 다차원 시퀀스 데이타의 선택도추정)

  • Shin, Byoung-Cheol;Lee, Jong-Yun
    • Journal of KIISE:Databases
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    • v.34 no.1
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    • pp.84-97
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    • 2007
  • Selectivity estimation techniques in query optimization have been used in commercial databases and histograms are popularly used for the selectivity estimation. Recently, the techniques for spatio-temporal databases have been restricted to existing temporal and spatial databases. In addition, the selectivity estimation techniques focused on time-series data such as moving objects. It is also impossible to estimate selectivity for range queries with a time interval. Therefore, we construct two histograms, CMH (current multidimensional histogram) and PMH (past multidimensional histogram), to estimate the selectivity of multidimensional sequence data in spatio-temporal databases and propose effective selectivity estimation methods using the histograms. Furthermore, we solve a problem about the range query using our proposed histograms. We evaluated the effectiveness of histograms for range queries with a time interval through various experimental results.

Women's Wear Brand Positioning According to Brand Loyalty (상표충성도에 따른 여성복 브랜드 포지셔닝)

  • 권현주;구양숙
    • Journal of the Korean Home Economics Association
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    • v.38 no.10
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    • pp.85-95
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    • 2000
  • The purpose of this study was to identify brand loyally of women's wear and construct brand positioning maps by using multidimensional scaling(MDS). There were significant differences between brand loyal and indifferent group in ages, income, occupation status and level of education. Significant differences were found between groups in the degree of importance of attributes (design/color, fashion, quality, store image, salesperson's attitude and brand reputation) when evaluating brands. The positioning maps upon the similarity and preference of brand image were composed by use of MDS.

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