• Title/Summary/Keyword: conceptual data model

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Comparative Analysis between Concepts of 'work' in ERBR and in International Standard Numbers (FRBR에 의한 국제표준번호들의 저작개념 분석)

  • 김정현
    • Journal of Korean Library and Information Science Society
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    • v.35 no.1
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    • pp.215-235
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    • 2004
  • FRBR(Functional Requirements for Bibliographic Records) provides a structured conceptual model for relating the data which are recorded in bibliographic records to identify information resources. FRBR has 4 bibliographic entities - the work, expression, manifestation, and item - in its conceptual model. In this paper, the difference in the 'work' conception between FRBR and international standard numbers is examined Consequently, the following points are observed: (1) The ISBN, ISSN, and ISMN identify manifestation level, as they refer to the physical expression of a work. The IARN, ISRC, and ISAN identify expression level, irrespective of its manifestation. The ISWC and ISTC identify work level - the unique artistic creation, whatever its expression or manifestation is. (2) ISWC and ISTC does not use the word 'work' in the same way as FRBR does. I think that the differences in meanings of the two usages 'work' come from the different positions to information resources.

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Key success factors for implementing modular integrated construction projects - A literature mining approach

  • Wuni, Ibrahim Yahaya;Shen, Geoffrey Qiping
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.343-352
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    • 2020
  • Modular integrated construction (MiC) is an innovative construction method where components of a building are manufactured in an offsite factory, trucked to the job site in sections, set in place with cranes, and assembled together to form a whole building. Where circumstances merit, favorable conditions exist and implemented effectively; MiC improves project performance. However, several key factors need to converge during implementation to realize the full benefits of MiC. Thus, a thorough understanding of the factors which are critical to the success of MiC projects is imperative. Drawing on a systematic review of 47 empirical studies, this research identified 25 key success factors (KSFs) for MiC projects. Of these, the five topmost cited KSFs for MiC projects include effective working collaboration and communication among project participants; standardization, optimization, automation and benchmarking of best practices; effective supply chain management; early design freeze and completion; and efficient procurement method and contracting. The study further proposed a conceptual model of the KSFs, highlighting the interdependences of people, processes, and technology-related KSFs for the effective accomplishment of MiC projects. The set of KSFs is practically relevant as they constitute a checklist of items for management to address and deal with during the planning and execution of MiC projects. They also provide a useful basis for future empirical studies tailored towards measuring the performance and success of MiC projects. MiC project participants and stakeholders will find this research useful in reducing failure risks and achieving more desired performance outcomes. One potential impact of the study is that it may inform, guide, and improve the successful implementation of MiC projects in the construction industry. However, the rigor of the analysis and relative importance ranking of the KSFs were limited due to the absence of data.

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Structural Equation Modeling on Living and Brain Death Organ Donation Intention in Nursing Students (간호대학생의 생존 시와 뇌사 시 장기기증 의도에 관한 구조모형)

  • Kim, Eun A;Choi, So Eun
    • Journal of Korean Academy of Nursing
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    • v.45 no.6
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    • pp.802-811
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    • 2015
  • Purpose: The purpose of this study was to test and validate a model to predict living and brain death organ donation intention in nursing students. The conceptual model was based on the theory planned behavior. Methods: Quota sampling methodology was used to recruit 921 nursing students from all over the country and data collection was done from October 1 to December 20, 2013. Results: The model fit indices for the hypothetical model were suitable for the recommended level. Knowledge, attitude, subjective norm and perceived behavioral control explained 40.2% and 40.1% respectively for both living and brain death organ donation intention. Subjective norm was the most direct influential factor for organ donation intention. Knowledge had significant direct effect on attitude and indirect effect on subjective norm and perceived behavioral control. These effects were higher in brain death organ donation intention than in living donation intention. Conclusion: The overall findings of this study suggest the need to develop systematic education programs to increases knowledge about brain death organ donation. The development, application, and evaluation of intervention programs are required to improve subjective norm.

Assessing the Effects of Service Quality, Experience Value, Relationship Quality on Behavioral Intentions

  • TRAN, Van Dat
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.3
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    • pp.167-175
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    • 2020
  • The study aims to examine the relationships between service quality, experience value, relationship quality and behavior intentions. Validated measurements were identified from a literature review. The total of 309 valid respondents were used in this research. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on the 309 responses using confirmatory factor analysis and a structural equation modeling, accordingly. In addition, this study systematized the concepts, defined and tested the component scales of the relationship model between service quality, experience value, relationship quality and behavior intentions from the collected data, which helps to adequately identify the relationship between the factors in the model as well as the impact. The findings confirm that service quality influences experience values, relationship quality and purchase intention. Service quality, experience value, relationship quality and behavior intentions altogether are not well understood in current literature despite the important implication for managers, academicians and consumers alike. Contributes to a better fit between relationship marketing models and managerial practice in business markets. This study provides managerial implications regarding service quality and experience value so that firms and marketers can consult and apply. Managers should not only focus on the improvement of service quality but overall strategic planning.

Numerical study of 10-year-old child forearm injury

  • Mao, Haojie;Cai, Yun;Yang, King H.
    • Advances in biomechanics and applications
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    • v.1 no.3
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    • pp.143-158
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    • 2014
  • Forearm fractures in children are very common among all pediatric fractures. However, biomechanical investigations on the pediatric forearm are rather scarce, partially due to the complex anatomy, closely situated, interrelated structures, highly dynamic movement patterns, and lack of appropriate tools. The purpose of this study is to develop a computational tool for child forearm investigation and characterize the mechanical responses of a backward fall using the computational model. A three-dimensional 10-year-old child forearm finite element (FE) model, which includes the ulna, radius, carpal bones, metacarpals, phalanges, cartilages and ligaments, was developed. The high-quality hexahedral FE meshes were created using a multi-block approach to ensure computational accuracy. The material properties of the FE model were obtained by scaling reported adult experimental data. The design of computational experiments was performed to investigate material sensitivity and the effects of relevant parameters in backward fall. Numerical results provided a spectrum of child forearm responses with various effective masses and forearm angles. In addition, a conceptual L-shape wrist guard design was simulated and found to be able to reduce child distal radius fracture.

Structual Equation Modeling on Adjustment of Cancer Patients Receiving Chemotherapy (항암 화학요법을 받는 암 환자의 적응 구조모형)

  • Lee, Eun-Kyung;Ryu, Eun-Jung;Kim, Kyung-Hee
    • Asian Oncology Nursing
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    • v.11 no.2
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    • pp.101-107
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    • 2011
  • Purpose: This study was to understand and explain the adjustment of cancer patients receiving chemotherapy. Variables in this model were social support, uncertainty, resilience and coping. Methods: The data were collected for approximately five months from May through to September 2006 with cancer patients receiving chemotherapy or cancer patients finished chemotherapy using self-administered questionnaires. Descriptive statistics program, Amos 5.0, was employed to verify the goodness of the hypothetic model and the hypotheses formulated in the study. Results: The fitness of the finalized model turned out to be improved ($X^2$=332.644, df=70, GFI= .809, AGFI= .714, RMSEA= .138, AIC=402.644). Those variables made a 60.8% prediction of the patients adjustment. Conclusion: The hypothetic model presented in the study could serve to explain the adjustment of cancer patients receiving chemotherapy. Moreover, the use of the conceptual framework of the theory of planned nursing intervention would be very worthwhile as a strategy to boost the adjustment of cancer patients when receiving chemotherapy.

Application of Motivation-Hygiene Theory and Kano Model to Investigate Dimensionality of Consumers' Satisfaction and Dissatisfaction with Social Commerce (동기위생이론과 Kano 모델을 적용한 소셜커머스의 만족과 불만족 차원 연구)

  • Gao, Yan;Lee, Hyun-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.3
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    • pp.355-371
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    • 2014
  • The present study investigated the dimensionality of satisfaction and dissatisfaction as well as evaluated the effects of social commerce characteristics on satisfaction and dissatisfaction. The conceptual framework of the study was built on Herzberg's motivation-hygiene Theory and the Kano Model. We gathered 519 data by social commerce users through an online survey and used SPSS 20.0 for the analysis. The findings showed that satisfaction and dissatisfaction are two distinct constructs; in addition, nine characteristics of social commerce were derived from factor analysis. Among the nine factors of social commerce characteristics, diversity had a positive influence only on satisfaction and uncertainty had only a positive impact on dissatisfaction; however, price discount, product quality and transaction safety, influenced both satisfaction and dissatisfaction. There were several factors that had no significant influence on both satisfaction and dissatisfaction. The findings of the study support Herzberg's motivation-hygiene Theory and the Kano Model. The present study helps social commerce managers establish a plan to maximize factors that influence consumer satisfaction and minimize the factor influencing dissatisfaction.

A Formal Specification of Fuzzy Object Inference Model for Supporting Disjunctive Fuzzy Information (이접적 퍼지 정보를 지원하는 퍼지 객체 추론 모델의 정형화)

  • 양형정;양재동
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2001.05a
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    • pp.184-197
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    • 2001
  • In this paper, we provide the formal specification of a fuzzy object inference language and propose ICOT(Integrated C-Object Tool) as its implementation for knowledge-based programming with the disjunctive fuzzy information. The novelty of our model is that it seamlessly combines object inference and fuzzy reasoning into a unified framework without compromising a compatibility with extant databases, especially object-relational ones. In this model most of the object-oriented paradigm is successfully expressed in terms of relational constructs, tailoring fuzzy reasoning style to be well suited to the framework of the databases. It turns out to be useful in preserving its conceptual simplicity as well, since simple-to-use is one of important criteria in designing the databases. Additionally this model considerably enhanced the semantic expressiveness of data allowing disjunctive fuzzy information.

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Determining Adventure Tourist Loyalty: Mediating Role of Tourist Satisfaction and Quality of Life

  • ROHMAN, Fatchur
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.255-265
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    • 2020
  • This study aims to test the interrelationship among perceived value, tourist satisfaction, quality of life, and tourist loyalty in an Indonesian tourist adventure destination. The respondents were recruited from Bromo Mountain, East-Java Province, Indonesia. For this study, 250 questionnaires were distributed, of which 240 could be used for analysis, yielding a response rate of 96%. Data was analyzed using Partial Least Squares with smartPLS 3 software. Both outer model and inner model evaluation were conducted to ensure the robustness of the proposed model. The findings showed that perceived value does not have a direct significant effect on tourist loyalty. However, tourist satisfaction and quality of life have significant effects on tourist loyalty. The mediating effect test indicated that tourist satisfaction and quality of life significantly mediated the effect of perceived value on tourist loyalty. The multi-group analysis test found that the demographic factor does not have any influence. By accomplishing its research objectives, this study provides both theoretical and practical contributions. From a theoretical standpoint, this study provides a comprehensive conceptual model in explaining Indonesia adventure tourist loyalty. From a practical standpoint, this study offers recommendations to adventure tourism management to enhance the sustainability of the tourism destination, especially the adventure tourism destination.

A Privacy-aware Graph-based Access Control System for the Healthcare Domain

  • Tian, Yuan;Song, Biao;Hassan, M.Mehedi.;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.10
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    • pp.2708-2730
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    • 2012
  • The growing concern for the protection of personal information has made it critical to implement effective technologies for privacy and data management. By observing the limitations of existing approaches, we found that there is an urgent need for a flexible, privacy-aware system that is able to meet the privacy preservation needs at both the role levels and the personal levels. We proposed a conceptual system that considered these two requirements: a graph-based, access control model to safeguard patient privacy. We present a case study of the healthcare field in this paper. While our model was tested in the field of healthcare, it is generic and can be adapted to use in other fields. The proof-of-concept demos were also provided with the aim of valuating the efficacy of our system. In the end, based on the hospital scenarios, we present the experimental results to demonstrate the performance of our system, and we also compared those results to existing privacy-aware systems. As a result, we ensured a high quality of medical care service by preserving patient privacy.