• 제목/요약/키워드: multidimensional construct

검색결과 77건 처리시간 0.024초

Measuring Trusts And The Effects On The Consumers' Buying Behavior

  • LE, Nguyen Binh Minh;HOANG, Thi Phuong Thao
    • 유통과학연구
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    • 제18권3호
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    • pp.5-14
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    • 2020
  • Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

타임 워핑을 지원하는 효율적인 서브시퀀스 매칭 기법 (A Subsequence Matching Technique that Supports Time Warping Efficiently)

  • 박상현;김상욱;조준서;이헌길
    • 산업기술연구
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    • 제21권A호
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    • pp.167-179
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    • 2001
  • This paper discusses an index-based subsequence matching that supports time warping in large sequence databases. Time warping enables finding sequences with similar patterns even when they are of different lengths. In earlier work, we suggested an efficient method for whole matching under time warping. This method constructs a multidimensional index on a set of feature vectors, which are invariant to time warping, from data sequences. For filtering at feature space, it also applies a lower-bound function, which consistently underestimates the time warping distance as well as satisfies the triangular inequality. In this paper, we incorporate the prefix-querying approach based on sliding windows into the earlier approach. For indexing, we extract a feature vector from every subsequence inside a sliding window and construct a multi-dimensional index using a feature vector as indexing attributes. For query precessing, we perform a series of index searches using the feature vectors of qualifying query prefixes. Our approach provides effective and scalable subsequence matching even with a large volume of a database. We also prove that our approach does not incur false dismissal. To verily the superiority of our method, we perform extensive experiments. The results reseal that our method achieves significant speedup with real-world S&P 500 stock data and with very large synthetic data.

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한국 암 특이형 삶의 질 측정도구(C-QOL) 개발 및 평가 (Development and Psychometric Evaluation of a Quality of Life Scale for Korean Patients with Cancer(C-QOL))

  • 이은현
    • 대한간호학회지
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    • 제37권3호
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    • pp.324-333
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    • 2007
  • Purpose: The purpose of this study was to develop and evaluate a quality of life scale for Korean patients with cancer (C-QOL). Methods: The C-QOL was developed and validated as follows, item generation, pilot study, and psychometric tests. A total of 337 patients diagnosed with stomach, liver, lung, colon, breast, or cervix cancer were recruited. The patients were asked to complete the preliminary questionnaire comprising the content-validated items, the SF-36, and the ECOG performance status. The obtained data was analyzed using descriptive statistics, factor analysis, multidimensional scaling (MDS), multitrait/multi-item matrix, ANOVA, t-test, and Cronbach's alpha. Results: Preliminarily twenty-six items were generated through content validity and a pilot study. Factor analysis and MDS extracted a total of 21 items with a 5-point Likert-type scale (C-QOL). The C-QOL included five subscales: physical status (6 items), emotional status (6 items), social function (3 items), concern status (2 items), and coping function (4 items). The C-QOL established content validity, construct validity, item convergent and discriminant validity, known-groups validity, reliability, and sensitivity. Conclusion: The Newly developed C-QOL is an easily applicable instrument which established psychometric properties and reflected Korean culture. It is recommended for further study to examine the responsiveness of the C-QOL using a longitudinal research design.

Wavelet-based feature extraction for automatic defect classification in strands by ultrasonic structural monitoring

  • Rizzo, Piervincenzo;Lanza di Scalea, Francesco
    • Smart Structures and Systems
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    • 제2권3호
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    • pp.253-274
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    • 2006
  • The structural monitoring of multi-wire strands is of importance to prestressed concrete structures and cable-stayed or suspension bridges. This paper addresses the monitoring of strands by ultrasonic guided waves with emphasis on the signal processing and automatic defect classification. The detection of notch-like defects in the strands is based on the reflections of guided waves that are excited and detected by magnetostrictive ultrasonic transducers. The Discrete Wavelet Transform was used to extract damage-sensitive features from the detected signals and to construct a multi-dimensional Damage Index vector. The Damage Index vector was then fed to an Artificial Neural Network to provide the automatic classification of (a) the size of the notch and (b) the location of the notch from the receiving sensor. Following an optimization study of the network, it was determined that five damage-sensitive features provided the best defect classification performance with an overall success rate of 90.8%. It was thus demonstrated that the wavelet-based multidimensional analysis can provide excellent classification performance for notch-type defects in strands.

Integrative Thinking as a Hallmark of Business Education

  • Chinta, Ravi;Funches, Venessa;Esmaeilioghaz, Hamed
    • 융합경영연구
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    • 제4권4호
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    • pp.25-28
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    • 2016
  • In this paper we expand on the notion of "integration" in terms of the variety of ways in which it would manifest itself in business education. Our main argument is that "integration" is multidimensional and has been manifest in pedagogy, research and service dimensions of university programs for a long time. However, assessments of "integration" efforts have been spotty thus far and only recently are being formalized. We present several examples in business curriculum and with increased focus on formal assessments of "integration" efforts, business education will become more pragmatic. The goal of this paper is to unpack the broad construct of "integration," and discuss its historical and current manifestations in business education. Ultimately, we conclude that while the process of integrative thinking is well underway for a long time in business education, the assessment of outcomes of integrative thinking is just taking root through formal ETS tests. We believe that integrative thinking in business education is an ultimate indicator of the effectiveness of the business curriculum, as students skilled in this area will be best prepared for the real-life jobs in the market place.

Construction of a Digitally Represented Person by Personal Data: A Multidimensional Framework from an Inforg Perspective

  • Jinyoung Min;HanByeol Stella Choi;Chanhee Kwak;Junyeong Lee
    • Asia pacific journal of information systems
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    • 제34권1호
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    • pp.292-320
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    • 2024
  • The amount of data a related to a person is so substantial that it appears that a digital version of them can be built thereon. They are usually handled as personal information, and the attempts made to understand personal information have led to bundling and unbundling of various data, yielding numerous fragmented categories of personal information. Therefore, we attempt to construct a generalizable lens for a deeper understanding of person-related data. We develop a theoretical framework that provides a fundamental method to understand these data as an entity of a digitally represented person based on literature review as well as the concepts of inforg and infosphere. The proposed framework suggests person-related data consist of three informational inforg dimensions that can preserve the archetype of a person, form, content, and interaction. Subsequently, the framework is examined and tested through several analyses in two different contexts: social media and online shopping mall. This framework demonstrates the suggested dimensions are interrelated with certain patterns, the prominent dimension can determine the data characteristics, and the dimensional composition of data types can imply the characteristics of the digitally represented person in certain contexts.

Flourishing as an aim of mathematics education

  • Tye G. Campbell;Sindura Kularajan
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제27권2호
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    • pp.211-221
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    • 2024
  • What is the aim of mathematics education? Current aims of mathematics education often lack the multidimensionality needed to account for a successful experience in mathematics. In this short paper, we argue for a multidimensional aim of mathematics education via the construct of flourishing. Flourishing is derived from the notion of eudaimonia, which broadly refers to achieving the "highest good," or living a well-lived life. Building on prior research, we operationalize flourishing as an aggregate of several positive affective, behavioral, cognitive, and social traits, all of which contribute to students' propensities to achieve the "highest good" in mathematics. In particular, we propose five traits which contribute to students' propensities to achieve the "highest good" (i.e., flourish) in mathematics: (1) positive emotions toward mathematics; (2) engagement in mathematics; (3) community in mathematics; (4) meaning in mathematics; (5) perceived competence in mathematics. Thus, we argue that one productive aim of mathematics education is to support students in fulfilling each of these traits, which ultimately leads to flourishing in mathematics. To supplement our theoretical stance, we offer suggestions for measuring flourishing as an aim. We close this short paper by describing the implications that such an aim might suggest for pedagogy, policy, and research.

온라인 게임에서의 쾌락적 경험에 관한 연구 - 지각된 복잡성의 조절효과를 중심으로 - (The Research on Online Game Hedonic Experience - Focusing on Moderate Effect of Perceived Complexity -)

  • 이종호;정윤희
    • 마케팅과학연구
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    • 제18권2호
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    • pp.147-187
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    • 2008
  • 온라인 게임에서의 경험을 설명하는 대부분의 이전 연구들이 플로우의 역할을 강조하고 있으며, 플로우의 선행요인과 결과요인을 밝히는데 초점을 두었다. 플로우는 온라인상의 몰입경험을 설명하는데 타당한 것으로 기존 연구에서 검증되었고 성과와 직결된다는 점에서 중요한 변수임은 분명하지만, 쾌락적 경험으로서의 온라인 게임을 설명하는 데 있어서는 부족하다. 이러한 기존 연구의 부족한 점을 보완하고자, 본 연구는 음악과 영화분야에서 연구된 쾌락적 반응 연구를 온라인 게임에 적용하여 온라인 게임에서의 다차원적인 경험과정을 보여주고자 하였다. 또한 기존에 쾌락적 반응에 관한 연구를 보완하여 감각적 반응, 상상적 반응, 분석적 반응이 감정적 반응에 주는 영향을 검증하였으며, 플로우를 대신해 쾌락적 반응들이 게임 만족에 주는 영향, 게임 만족이 충성도에 주는 영향을 규명하고자 하였다. 그리고 쾌락적 선호를 조절하거나 매개하는 변수로 알려진 지각된 복잡성에 따른 조절 영향을 확인함으로써, 자극의 차이에 따른 쾌락적 반응의 영향차이를 보지 않았던 기존연구를 확장하였다. 연구결과, 감각적 반응, 상상적 반응, 분석적 반응의 감정적 반응에 대한 유의한 영향, 각각의 쾌락적 반응의 만족에 대한 유의한 영향, 만족의 충성도에 대한 영향이 검증되었다. 그리고 이러한 영향은 지각된 복잡성이 다른 집단 별로 달랐는데, 예상한 바대로 지각된 복잡성이 높은 집단에서는 분석적 반응이 전반적으로 강한 영향을, 그리고 낮은 집단에서는 감각적 반응이 감정과 만족에 강한 영향을 주는 것으로 밝혀졌다. 연구 마지막에는 이러한 결과들에 대한 요약 및 해석, 시사점 및 한계점이 논의되었다.

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최적 염소 소독 모형의 개발 및 파라미터 연구 (Development of Optimal Chlorination Model and Parameter Studies)

  • 김준현;안수영;박민우
    • 환경영향평가
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    • 제29권6호
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    • pp.403-413
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    • 2020
  • 최적의 염소 소독 전략을 구축하기 위해 8개의 연립 준선형 편미분방정식으로 구성된 수학적 모형이 제안되었다. 다차원 수치 프로그램을 개발하기 위해 상류 가중 유한요소법을 사용하였다. 프로그램은 세 가지 유형의 반응기에서 측정된 농도에 대해 검증되었다. 16개의 실험 결과에 대해 경계 조건 및 반응 속도를 보정하여 측정된 값을 재생시켰다. 모델링 결과로부터 8개의 반응 속도계수가 추정되었다. 반응 속도계수는 pH 및 온도로 표현되었다. 반응 속도계수를 추정하기 위해 수치 오차의 제곱의 합을 최소화하는 자동 최적 알고리즘의 프로그램을 개발하고 모형에 결합하였다. 최종 사용지에서 염소 및 오염물의 농도를 최소화하기 위해서는 정수장의 염소소독공정으로부터 최종 사용지까지의 수질 변화를 모형에 의해 예측하고 이를 기반으로 유입수 수질에 따라 염소소독공정을 운영하는 실시간 예측 제어 시스템이 필요하다. 본 모형을 이용하여 정수장에 이러한 시스템을 구축할 수 있을 것이다.

신뢰대상의 다차원적 접근법에 의한 신뢰와 재구매 의도와의 관계 (The Relationship between Trust, Trustworthiness, and Repeat Purchase Intentions: A Multidimensional Approach)

  • 이수형;박미령
    • 마케팅과학연구
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    • 제18권1호
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    • pp.1-31
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    • 2008
  • 신뢰는 인간관계에서 동서고금을 통해 언제나 주목을 받아온 주제였으며, 신뢰의 중요성은 경영학 분야는 물론 인간생활의 모든 분야에서 이미 오랜 전부터 인식되어 왔다. 그러나 대부분의 연구는 주로 개인 간의 신뢰인 종업원에 대한 신뢰에만 집중하는 단일 차원적 관점에서 연구되어 왔다. 본 연구는 이와 같이 지금까지 주로 단일차원으로 연구되어 온 신뢰 대상을 판매원, 제품/서비스, 그리고 기업의 3차원으로 다차원화하여 이들 신뢰 대상이 재구매 의도에 미치는 영향을 검증하였다. 서울, 대구 경북지역의 거주자로 백화점에서 구매 경험이 있는 남녀 고객을 대상으로 수집된 자료를 분석한 결과, 기존 연구들에서 주로 다루어진 판매원신뢰뿐만 아니라 기업신뢰와 제품/서비스신뢰 또한 고객신뢰의 중요한 대상으로 나타나, 신뢰 대상은 다차원적인 구성개념임이 밝혀졌다. 이들 3차원의 신뢰는 모두 재구매 의도에 유의한 영향을 미치는 것으로 나타났으며, 특히 기업신뢰가 판매원신뢰와 제품/서비스신뢰보다 재구매 의도에 더 영향을 미치는 것으로 나타났다. 판매원신뢰와 제품/서비스신뢰의 영향요인으로 역량과 선의를, 기업신뢰의 영향요인으로 기업 평판과 물리적 환경을 설정하여 검증한 결과 역량과 선의는 판매원신뢰와 제품/서비스신뢰 모두에 유의한 영향을 미치는 것으로 나타났다. 기업신뢰의 경우, 평판은 유의한 영향을 미치는 것으로 나타났으나, 물리적환경은 유의한 영향을 미치지 않은 것으로 나타났다.

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