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검색결과 207건 처리시간 0.033초

Analysis of online food purchasing behavior: a study of Sri Lankan consumers

  • Piyumi Wijesinghe;Shashika D. Rathnayaka;Niranga Bandara;Jung Min Heo;Dinesh D. Jayasena
    • 농업과학연구
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    • 제50권4호
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    • pp.927-940
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    • 2023
  • Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

A Study on the Classification of Chinese Major Ports based on Competitiveness Level

  • Lee, Hong-Girl;Yeo, Ki-Tae;Ryu, Hyung-Geun
    • 한국항해항만학회지
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    • 제27권3호
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    • pp.315-320
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    • 2003
  • Since the beginning of open-door policy, China has been making rapid annual growth with an average 10% economic development. And due to this rapid growth, cargo volumes via ports have been also rapidly increased, and accordingly, current China government has intensively invested in port development. Further, this development project is significantly big scale, compared with those project which Korea and Japan have. Thus, China is beginning to threaten Korean ports, especially Busan port which try to be a hub port in Northeast Asia. For this reason, it has been very important issue for Korea and Busan port to investigate or analyze Chinese ports based on empirical data. Especially, although various studies related to Shanghai and Hong Kong have been conducted, the competitiveness of overall Chinese major ports has been little studied. In this paper, we analyzed competitiveness level of eight Chinese ports with capabilities as container terminal, based on reliable sources. From data analysis, eight Chinese ports were classified into four groups according to competitiveness level. Rankings among four clusters based on competitiveness level are cluster(Hone Kong), cluster C(Shanghai), cluster A(Qingdao, Tianjin, and Yantian) and cluster D(Dalian, Shekou, and Xiamen).

Stock Investment of Agriculture Companies in the Vietnam Stock Exchange Market: An AHP Integrated with GRA-TOPSIS-MOORA Approaches

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;KUMAR G, Venkata Ajay;HU, Yi-Chung
    • The Journal of Asian Finance, Economics and Business
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    • 제7권7호
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    • pp.113-121
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    • 2020
  • Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

가부반응 데이터 특성을 가지는 탄약 체계의 신뢰도 추정방법 비교 (Comparison of Reliability Estimation Methods for Ammunition Systems with Quantal-response Data)

  • 류장희;백승준;손영갑
    • 한국군사과학기술학회지
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    • 제13권6호
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    • pp.982-989
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    • 2010
  • This paper shows accuracy comparison results of reliability estimation methods for one-shot systems such as ammunitions. Quantal-response data, following a binomial distribution at each sampling time, characterizes lifetimes of one-shot systems. Various quantal-response data of different sample sizes are simulated using lifetime data randomly sampled from assumed weibull distributions with different shape parameters but the identical scale parameter in this paper. Then, reliability estimation methods in open literature are applied to the simulated quantal-response data to estimate true reliability over time. Rankings in estimation accuracy for different sample sizes are determined using t-test of SSE. Furthermore, MSE at each time, including both bias and variance of estimated reliability metrics for each method are analyzed to investigate how much both bias and variance contribute the SSE. From the MSE analysis, MSE provides reliability estimation trend for each method. Parametric estimation method provides more accurate reliability estimation results than the other methods for most of sample sizes.

스마트팩토리 도입시 영향을 미치는 요인에 관한 연구 : 국내 중소기업을 중심으로 (A Study on Factors Influencing the Introduction of Smart Factory : Focusing on Small and Medium-sized Enterprises in Korea)

  • 김한주;허훈;강재원;부제만
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.252-261
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    • 2019
  • In this study, we analyzed the factors affecting the introduction of Smart Factory by domestic SMEs through AHP analysis and tried to provide implications for the introduction of Smart Factory. It was confirmed that the manufacturing and introduction group, the non-manufacturing introduction group, and the already introduced group had the highest weight in the cost reduction in the first hierarchy standard. At this time, it can be seen that the weight for cost reduction is relatively high in the manufacturing introduction group and the introduction group, and the weight for the productivity improvement is relatively high in the non-manufacturing introduction group. It can also be seen that the portion of marketing enhancement does not have a significant impact on smart factory choices. It was confirmed that image enhancement is the highest in the manufacturing introduction group and the non-manufacturing introduction group in the first hierarchy standard, and the marketing has the highest weight in the introduction group. In the two - tiered standard, customer - friendly and proper inventory maintenance weights were relatively high in all the introduced groups, except for the high rankings.

Evaluation of genotype by environment interactions on milk production traits of Holstein cows in southern Brazil

  • Moreira, Raphael Patrick;Pinto, Luis Fernando Batista;Valloto, Altair Antonio;Pedrosa, Victor Breno
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권4호
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    • pp.459-466
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    • 2019
  • Objective: This study assessed the possible existence of genotype by environment interactions for milk, fat and protein yields in Holstein cattle raised in one of the most important milk production basins in Brazil. Methods: Changes in the genetic parameters and breeding values were evaluated for 57,967 animals from three distinct regions of southern Brazil, divided according to differences in climate. The genotype by environment interaction was determined by genetic correlations between regions, estimated by the restricted maximum likelihood, considering the animal model. Bull rankings were investigated to verify the ratio of coincident selected animals between regions for each trait. Results: The estimates of heritability coefficients were similar between two regions, but were lower in the third evaluated area, for all traits. Genetic correlations between regions were high, ranging from 0.91 to 0.99 for milk, fat and protein yields, representing the absence of a genotype by environment interaction for productive traits. The percentage of selection error between regions for the top 10% of animals ranged from 0.88% to 2.07% for milk yield, 0.99% to 2.46% for fat yield and 0.59% to 3.15% for protein yield. Conclusion: A slight change in genotype between areas was expected since no significant genotype by environment interactions were identified, facilitating the process of selecting Holstein cattle in southern Brazil.

Multi-criteria Comparative Evaluation of Nuclear Energy Deployment Scenarios With Thermal and Fast Reactors

  • Andrianov, A.A.;Andrianova, O.N.;Kuptsov, I.S.;Svetlichny, L.I.;Utianskaya, T.V.
    • 방사성폐기물학회지
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    • 제17권1호
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    • pp.47-58
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    • 2019
  • The paper presents the results of a multi-criteria comparative evaluation of 12 feasible Russian nuclear energy deployment scenarios with thermal and fast reactors in a closed nuclear fuel cycle. The comparative evaluation was performed based on 6 performance indicators and 5 different MCDA methods (Simple Scoring Model, MAVT / MAUT, AHP, TOPSIS, PROMETHEE) in accordance with the recommendations elaborated by the IAEA/INPRO section. It is shown that the use of different MCDA methods to compare the nuclear energy deployment scenarios, despite some differences in the rankings, leads to well-coordinated and similar results. Taking into account the uncertainties in the weights within a multi-attribute model, it was possible to rank the scenarios in the absence of information regarding the relative importance of performance indicators and determine the preference probability for a certain nuclear energy deployment scenario. Based on the results of the uncertainty/sensitivity analysis and additional analysis of alternatives as well as the whole set of graphical and attribute data, it was possible to identify the most promising nuclear energy deployment scenario under the assumptions made.

영어권, 중국어권 학습자의 한국어 모음 지각 -모국어와 목표 언어 간의 음향 자질의 유사성과 한국어 경험의 효과 중심으로- (Perception of Korean Vowels by English and Mandarin Learners of Korean: Effects of Acoustic Similarity Between L1 and L2 Sounds and L2 Experience)

  • 류나영
    • 한국어교육
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    • 제29권1호
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    • pp.1-23
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    • 2018
  • This paper investigates how adult Mandarin- and English- speaking learners of Korean perceive Korean vowels, with focus on the effect of the first language (L1) and the second language (L2) acoustic relationship, as well as the influence of Korean language experience. For this study, native Mandarin and Canadian English speakers who have learned Korean as a foreign language, as well as a control group of native Korean speakers, participated in two experiments. Experiment 1 was designed to examine acoustic similarities between Korean and English vowels, as well as Korean and Mandarin vowels to predict which Korean vowels are relatively easy, or difficult for L2 learners to perceive. The linear discriminant analysis (Klecka, 1980) based on their L1-L2 acoustic similarity predicted that L2 Mandarin learners would have perceptual difficulty rankings for Korean vowels as follows: (the easiest) /i, a, e/ >> /ɨ, ʌ, o, u/ (most difficult), whereas L2 English learners would have perceptual difficulty rankings for Korean vowels as follows: (the easiest) /i, a, e, ɨ, ʌ/ >> /o, u/ (most difficult). The goal of Experiment 2 was to test how accurately L2 Mandarin and English learners perceive Korean vowels /ɨ, ʌ, o, u/ which are considered to be difficult for L2 learners. The results of a mixed-effects logistic model revealed that English listeners showed higher identification accuracy for Korean vowels than Mandarin listeners, indicating that having a larger L1 vowel inventory than the L2 facilitates L2 vowel perception. However, both groups have the same ranking of Korean vowel perceptual difficulty: ɨ > ʌ > u > o. This finding indicates that adult learners of Korean can perceive the new vowel /ɨ/, which does not exist in their L1, more accurately than the vowel /o/, which is acoustically similar to vowels in their L1, suggesting that L2 learners are more likely to establish additional phonetic categories for new vowels. In terms of the influence of experience with L2, it was found that identification accuracy increases as Korean language experience rises. In other words, the more experienced English and Mandarin learners of Korean are, the more likely they are to have better identification accuracy in Korean vowels than less experienced learners of Korean. Moreover, there is no interaction between L1 background and L2 experience, showing that identification accuracy of Korean vowels is higher as Korean language experience increases regardless of their L1 background. Overall, these findings of the two experiments demonstrated that acoustic similarity between L1 and L2 sounds using the LDA model can partially predict perceptual difficulty in L2 acquisition, indicating that other factors such as perceptual similarity between L1 and L2, the merge of Korean /o/ and /u/ may also influence their Korean vowel perception.

지하상업공간에서 천창의 효과에 대한 연구 - 일본 지하가 근무자를 중심으로 (A study on the effects of skylight in commercial underground space - with focus on the employees of underground streets in Japan)

  • 이강주
    • 한국터널지하공간학회 논문집
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    • 제21권4호
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    • pp.535-543
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    • 2019
  • 본 연구는 지하공간에서 천창이 갖는 실증적인 의미를 고찰하였다. 이를 위해 기술성능, 기능성능, 행태성능으로 구성된 29개의 설문문항을 도출하였다. 또한, 천창이 있는 지하가와 천창이 없는 지하가와의 비교를 통해 천창의 의미가 분명하게 드러날 것이라는 가정 하에, 일본의 지하가 중 천창이 설치된 3개의 지하가와 천창이 없는 3개의 지하가를 연구의 분석대상으로 선정하였다. 설문조사 결과를 바탕으로 본 연구에서는 기술통계분석과 빈도분석을 실시하였고 각각의 차이 분석을 위하여 독립표본 T-검정을 실시하였으며 개선우선순위 도출을 위하여 상관분석을 실시하였다. 분석 결과, 지하상업공간에서 천창은 내부에서의 시간감과 이미지성에서 그 효과가 확실한 것으로 나타났다. 또한 지하상업공간의 질적인 측면에서도 중요한 순기능을 발휘하는 것으로 분석되었다. 마지막으로 천창이 없는 3개 지하가에 대한 개선순위는 표지/안내도, 공간의 다양성, 유지관리, 휴게공간, 바닥디자인 등의 순서로 도출되었다. 천창이 있는 3개 지하가에 대한 개선순위는 휴게공간, 공간의 다양성, 온습도, 공기, 유지관리 등의 순서로 도출되었다.

소셜 데이터 분석을 통한 음원 흥행 예측 지표 연구 (A Study on the Prediction Index for Chart Success of Digital Music Contents based on Analysis of Social Data)

  • 김가연;김명준
    • 디지털콘텐츠학회 논문지
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    • 제19권6호
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    • pp.1105-1114
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    • 2018
  • 최근 국내 음원 시장의 성장 속도가 두드러짐에 따라 음원 흥행 예측의 필요성이 커졌다. 본 논문에서는 인터넷 기사, SNS 등 소셜 데이터와 멜론 주간차트 진입 순위의 상관관계를 분석하여 음원 흥행의 예측 지표를 제안한다. 남자 가수와 여자 가수 각각에 대하여 총 10가지 항목의 소셜 데이터를 수집하였고, 군집 분석을 실시하였다. 이를 통해 남자 가수와 여자 가수 각각의 유의미한 음원 흥행 예측 지표를 발견하였다.