• Title/Summary/Keyword: Scientific Research Methodology

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Customer Electronic Loyalty towards Online Business: The role of Online Trust, Perceived Mental Benefits and Hedonic Value

  • NGUYEN, Minh Ha;KHOA, Bui Thanh
    • Journal of Distribution Science
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    • v.17 no.12
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    • pp.81-93
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    • 2019
  • Purpose: The success of electronic commerce businesses is the ability to retain the customers and inspire their loyalty in online shopping. The purpose of this study is to develop a model to study the effect of perceived mental benefits, online trust, and hedonic value on the elements of electronic loyalty. Research design, data and methodology: Mixed research method was applied in this study with qualitative and quantitative research method. Qualitative data was collected through focus group discussion with electronic commerce experts. Quantitative data was collected through a survey of 917 customers, in which conducted in four cities and one province in Vietnam. SmartPLS software is used for processing quantitative data. Results: The study points out that four constructs of the mental benefit concept, although not entirely, have an impact on online trust and hedonic value. At the same time, two antecedents of electronic loyalty's three elements are online trust and hedonic value. Conclusions: Through the positive influence between the elements in the conceptual model, the study has shown that the perceived mental benefits, online trust, and hedonic value are important factors to shape the electronic loyalty in developing countries, such as Vietnam. This study proposed some scientific and managerial implications.

Analysis on Effectiveness Research of Clinical Social Work Practice in Korea (한국 임상사회복지실천의 효과성 연구 경향에 관한 연구)

  • Yang, Ok-Kyung
    • Korean Journal of Social Welfare
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    • v.42
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    • pp.225-253
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    • 2000
  • The objective of this study is to analyze the research articles on clinical social work practice effectiveness to build a scientific and scholaristic image of clinical social work practice. The data for analysis were the articles published in 13 professional journals including Korean J. of Social Welfare in the period of 1979 to 1999. The appearance rate of effectiveness studies was 1.28% with only 18 articles. Experimental studies consisted only 4 out of 18, and there were only 10 Quasi-experimental studies. Statistical errors were observed in most studies, so it is too early to call that the clinical social work practice is either effective or not effective. In order to see the comprehensive trends of the clinical social work practice, other clinical papers were also examined. The appearance rate was also as low as 8.75% (effectiveness studies included). While 18 articles were about the therapy model, other clinical papers were about generic practice models. However, those newly developed generic practice models had not yet been widely used nor tested for effectiveness. Thus, the followings were suggested: active research activities with solid methodology, team work with the field, theory and method development, education and re-education, and collaborative team work with other related fields. It was also pointed that the cross analysis of research papers by the publishing period, authors major and other background variables would be useful.

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A Vision-Based Method to Find Fingertips in a Closed Hand

  • Chaudhary, Ankit;Vatwani, Kapil;Agrawal, Tushar;Raheja, J.L.
    • Journal of Information Processing Systems
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    • v.8 no.3
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    • pp.399-408
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    • 2012
  • Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable information from hand images. Many methods are available in scientific literature for fingertips detection with an open hand but very poor results are available for fingertips detection when the hand is closed. This paper presents a new method for the detection of fingertips in a closed hand using the corner detection method and an advanced edge detection algorithm. It is important to note that the skin color segmentation methodology did not work for fingertips detection in a closed hand. Thus the proposed method applied Gabor filter techniques for the detection of edges and then applied the corner detection algorithm for the detection of fingertips through the edges. To check the accuracy of the method, this method was tested on a vast number of images taken with a webcam. The method resulted in a higher accuracy rate of detections from the images. The method was further implemented on video for testing its validity on real time image capturing. These closed hand fingertips detection would help in controlling an electro-mechanical robotic hand via hand gesture in a natural way.

Application of Deep Learning to Solar Data: 2. Generation of Solar UV & EUV images from magnetograms

  • Park, Eunsu;Moon, Yong-Jae;Lee, Harim;Lim, Daye
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.81.3-81.3
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    • 2019
  • In this study, we apply conditional Generative Adversarial Network, which is one of the deep learning method, to the image-to-image translation from solar magentograms to solar UV and EUV images. For this, we train a model using pairs of SDO/AIA 9 wavelength UV and EUV images and their corresponding SDO/HMI line-of-sight magnetograms from 2011 to 2017 except August and September each year. We evaluate the model by comparing pairs of SDO/AIA images and corresponding generated ones in August and September. Our results from this study are as follows. First, we successfully generate SDO/AIA like solar UV and EUV images from SDO/HMI magnetograms. Second, our model has pixel-to-pixel correlation coefficients (CC) higher than 0.8 except 171. Third, our model slightly underestimates the pixel values in the view of Relative Error (RE), but the values are quite small. Fourth, considering CC and RE together, 1600 and 1700 photospheric UV line images, which have quite similar structures to the corresponding magnetogram, have the best results compared to other lines. This methodology can be applicable to many scientific fields that use several different filter images.

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International Trade between Colombia and Asia in the Framework of Logistics Processes: A Bibliometric Review

  • NIEBLES-NUNEZ, William;RAMIREZ, Javier;GARCIA-TIRADO, Jhony
    • Journal of Distribution Science
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    • v.20 no.10
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    • pp.39-50
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    • 2022
  • Purpose: This report aimed to review the literature on the research topic "Imports and exports between Colombia and Asian countries in the framework of logistics processes in international trade" of the last ten years. Research design, data and methodology: Documents indexed in the Web of Science metasearch engine were used as a source of information. The 500 most relevant downloaded in bibTex format were worked on and their processing was carried out using the statistical software Excel and R, through the Bibliometrix package. Results: The results indicate that the country that makes the most contributions to the research area is the United States (274), the author that publishes the most is Bahmani-Oskooee M., with (11) research, 424 of the documents found are journal articles, and the institution that contributes the most in this area is the University of Wisconsin. Conclusions: It is concluded that scientific production within the framework of international trade between Asia and Colombia has had a notable increase, which can be explained by the opening of both continents as strategic allies and the new vision of logistics processes taking advantage of the strategic location of countries within the Pacific Ocean.

Implementation of Artificial Intelligence Systems for Agri-food Supply Chains: A Bibliometric Approach

  • Javier RAMIREZ;Henry HERRERA;Osman REDONDO;Sofia SULBARAN
    • Journal of Distribution Science
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    • v.22 no.6
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    • pp.83-93
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    • 2024
  • Purpose: The present study is developed with the aim of mapping the trends in scientific production related to the implementation of artificial intelligence systems for agro-food supply chains. Research design, data and methodology: The methodological approach of the research shows a descriptive documentary process based on bibliometric techniques for mapping the main indicators of the area of knowledge through the establishment of a search equation in Scopus. Results: The research results show a total of 633 documents published between 2019 and 2023, with a great annual growth rate of 61.68%; In addition to a notable participation of countries such as India, China, the United Kingdom and the United States in the generation of new knowledge related to artificial intelligence applied to food distribution systems. Conclusions: It is concluded that the rise of new artificial intelligence technologies has shown extremely important results in the development of industries worldwide, with increasingly accelerated steps; which certainly translates into the creation of spaces and incentives in the production of research aimed at understanding these dynamics and in turn to propose new alternatives and proposals for the reduction of the large technological gaps that are present within the agro-food sector.

A reviews on the social network analysis using R (R을 이용한 사회연결망 분석에 대한 고찰)

  • Choi, Kyoungho;Yoo, Jin Ah
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.77-83
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    • 2015
  • Though the SNA (social network analysis ; SNA) has been used for various fields, esp. social science field, ig. politics, journalism, and science of public administration as well as natural science field, there are few studies about the introduction of analysis tools. In order to perform the SNA, collecting data which are fit for the purpose, statistical values deduction and visualized results made by analysis tool are necessary, but the studies, which explain them systematically, are not sufficient yet. So, in this study, we are intended to introduce the analytic process, from the data input to the interpretation, with proven data. using the R program, which is free, in order to help researchers who have any plan to study using the SNA. The proven data in this study are quoted ones in the domestic scientific journals of food, which are those supplied citation index DB of Korean scientific journals. As a study methodology, the SNA is a new paradigm to substitute existing research methods as well as a complement of statistical analysis. Therefore, this study would contribute to vitalization of the SNA.

Analysis of Risk Factor for Sinkhole Formation by using Delphi (델파이기법을 이용한 싱크홀 발생 위험요인 도출)

  • Lee, Kyung-Su;Kim, Tae-Hyeong;Kim, Tai-Hoon;Park, Sang-Hyuk
    • The Journal of the Korea Contents Association
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    • v.16 no.4
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    • pp.65-75
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    • 2016
  • This research was started in order to recognize the necessity of systematic and scientific approach to sinkholes, and to imply from an empirical point of view that a detailed evaluation method and measure for technique should be devised. As the result drew the risk factors that cause sinkholes by reflecting the opinions of water resources and ground experts, this research is expected to contribute to the development of a more systematic and pre-preventive evaluation index by preparing a countermeasure against sinkholes. In the future, it is necessary to develop an evaluation index toward the risk factors of sinkholes, in order to establish a scientific basis and objectivity that can determine priority, by subdividing the decision-making process that is required for preparing a countermeasure against sinkholes. In addition, a detailed methodology and related technique to measure each evaluation index should be continued to be discussed, in order to review the applicability of evaluation indices on actual sites.

Problems of Using Cyberdramaturgy in Modern Foreign Cinematography

  • Portnova, Tatiana V.
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.25-30
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    • 2022
  • The article is devoted to the actual problem of the use of digital technologies in modern cinema in developed countries. The purpose of the study is to identify the essence of the term "cyberdramaturgy" and the problems of its use in modern film production. The research methodology is based on a systematic approach and includes the methods of the general scientific group (analysis, synthesis, deduction, induction), as well as a number of special methods: the method of content analysis of scientific literature on the research topic; sociological survey method; as well as the method of statistical analysis. The results of the survey were analyzed using the Neural Designer program (a tool for advanced statistical analytics) and translated into a graphical diagram format for clarity of perception. Answers in 75 questionnaires were evaluated by the average score for six analysis criteria, which made it possible to bring all the calculations to a 10-point scale. As a result of the study, the author of the article concluded the following: directors believe that the use of cyber analogues of actors and backgrounds leads to the blurring of genres, the hybridization of cinema and animation; directors are also concerned about the problem of replacing the director himself with a special program. The writers are completely concerned with the problem of machine scripting with almost infinite variability beyond the human imagination. Directors-producers believe that the cyberdramaturgy development will lead to completely new standards of cinematic quality, sharply different from the traditional assessment of acting and scene setting, to the appreciation of 3D animation as the highest category in the art. Such innovations actually devalue all international cinematography awards, as cyberdrama reduces the value of cyberactors to zero. It is impossible to bail out an "Oscar" or a "Golden Globe" award for a digital double or a separate cyber model that is used in the film instead of the actors.

Government R&D Technology Commercialization Policy Case Study: Focusing on Technical Information Distribution (정부 R&D 지원사업의 공공 기술사업화 정책 사례연구: 기술정보 유통 확산을 중심으로)

  • Yun, Jeong-Keun;Kwon, Jae-Chul;Choi, Sun-Hee
    • Journal of Distribution Science
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    • v.17 no.2
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    • pp.53-69
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    • 2019
  • Purpose - National scientific technology R&D investment is exceeding 60 trillion won per year, and the results of patent applications and technology transfers are visually improving. However, despite the improving research results of national R&D, the practical results of technology startups are mediocre. It is now time to expand the construction of the technology commercialization ecosystem, where the expansion of national R&D leads to the results of technology startups. Therefore, this study discussed the measures to increase the competitiveness of technology startups through the factual survey of the companies that benefitted from R&D support programs. Research design, data, and methodology - This study targeted 996 companies that benefitted from the R&D projects of the Technology Transfer Center for National R&D Programs, and deducted itemized issues through the survey replies. Survey questions were prepared to estimate the national R&D results, and the technology recognition path, the purpose of detailed introduction of the technology, investment of the commercialization fund, economic results, and the factors of success and failure were analyzed. Results - As for the recognition rate of technology during the process of corporate technology commercialization through the technology transfer, recognition through project participation showed a high response rate, and diverse implications of technology commercialization were deducted through the analysis of economic results. As for the resolution alternatives, the proliferation of technology commercialization platform that can create excellent technology for the companies in early stages and the measure of expanding the distribution of technology infrastructure were suggested. In this study, public technology commercialization strategy is established, and the innovative marketing strategy is presented. Conclusions - This study reveal that the result of creating scientific technology jobs should be deducted, in order to produce the revolutionary results of job creation by suggesting the success models of technology commercialization based on domestic scientific technology. In particular, even though the support systems for public research results are being diversely suggested, accurate studies on their actual conditions are currently lacking. Therefore, this study suggest realistic political alternatives to assure results in the process of public technology commercialization, by examining the current state of public research results of R&D support institutions and diagnosing the issues.