• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.433-444
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• 2021

The study seeks to identify the factors affecting the green marketing element of students' food purchasing decision at Co-opMart supermarket chain in Ho Chi Minh City through the application of a mix of qualitative and quantitative research methods that include probability sampling and convenient sampling of 400 students from Ho Chi Minh City University of Technology (HUTECH). The data are analyzed with SPSS software using Cronbach's Alpha, Exploratory Factor Analysis, Multiple Linear Regression and PATH model to test the model through the intermediate variable 'student's perception' and the hypotheses, identifying the green marketing effects on HUTECH students' food purchasing decisions at Ho Chi Minh City Co-opMart supermarket chain. The results of the study identify four factors of the green marketing mix (4Cs), namely, green commodity, green cost, green convenience, and green communication. All these factors have an influence on the student's food purchasing decision at Co-opMart supermarket. Cost is the strongest factor eliciting student's interest in purchasing green products, followed by convenience, then communication. Commodity has the least impact on green purchasing decision. This study proposes some feasible solutions for Co-opMart managers to attract more students using green food in the complex situation of contaminated food, which is extremely harmful to consumers' health.

• Journal of Information Technology Services
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• v.9 no.1
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• pp.127-139
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• 2010

Due to the development of information technology and business related to geographical location of customer, the need for the storage and analysis of geographical location data is increasing rapidly. Geographical location data have a spatio-temporal nature which is different from typical business data. Therefore, different methods of data storage and analysis are required. This paper proposes a multi-dimensional data model and data visualization to analyze geographical location data efficiently and effectively. Purchase order data of an online farm products brokerage business was used to build prototype datamart. RFM scores are calculated to classify customers and geocoding technology is applied to display information on maps, thereby to enhance data visualization.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.543-544
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• 2011

최근 유전자 염기서열분석방법이 새롭게 등장하면서 대량의 생물정보의 데이터가 축적되고 있다. 다양한 생물종의 유전체 정보에 대하여 관련 연구자들에게 유용한 정보를 제공하기 위해서는 분석된 유전체 정보를 빠르게 전달할 필요가 증가하고 있다. 본 연구에서는 분석된 유전체 정보에 대한 데이터베이스를 구축하고 이를 모바일 환경에서 손쉽게 탐색할 수 있는 클라이언트 앱을 개발하였다. 유전체 정보에 대한 데이터베이스는 BioMart를 사용하였다. BioMart의 데이터베이스 스키마를 기반으로 웹서비시스 방법을 통하여 모바일 환경의 기기와 연동할 수 있도록 하였다. 개발된 시스템의 검증을 위해서 BioMart의 유전자내용을 검색 할 수 있는 질의를 통하여 모바일기기에서 인간의 유전체 정보를 네비게이션 할 수 있도록 하였다.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.1
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• pp.53-61
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• 2021

Purpose - This study aims to understand the phenomenon called "regional multinational" in the geographical expansion of multinational enterprises and to find some evidence whether globalization of multinational enterprises tends to have a strong home region bias. Research design, data, and methodology - Through an in-depth case analysis, we analyze the series of strategic behaviors Wal-Mart made in South Korea from its entry in 1998 to its withdrawal in 2006. Then, we discuss the plausible causes of this exit, seeking to provide some evidence on the "regional multinational" phenomenon. Result - This study finds some evidence on the regional-based expansion of multinational enterprises. Our case study shows that Wal-Mart in South Korea focused on global standardization strategy and made an exit from the market as they were faced with increasing localization demands. From the perspective of multinational enterprises' globalization strategy, Wal-Mart's exit from the South Korean market can be considered as a strategic exit. Conclusion - The findings of this study suggest that while national responsiveness and localized adaptation are considered as a panacea for penetrating international markets, in reality most multinational enterprises attempt to add value primarily by capitalizing on similarities across markets and remain as regional multinationals.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.47-62
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• 2021

Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That is, this study was to look the change of issues and consumer's perception about watermelon using big data and social network analysis and to investigate ways to strengthen the competitiveness of watermelon industry based on that. Methodology: For this purpose, the data was collected from Naver (blog, news) and Daum (blog, news) by TEXTOM 4.5 and the analysis period was set from 2015 to 2016 and from 2017-2018 and from 2019-2020 in order to understand change of issues and consumer's perception about watermelon or watermelon industry. For the data analysis, TEXTOM 4.5 was used to conduct key word frequency analysis, word cloud analysis and extraction of metrics data. UCINET 6.0 and NetDraw function of UCINET 6.0 were utilized to find the connection structure of words and to visualize the network relations, and to make a cluster of words. Results: The keywords related to the watermelon extracted such as 'the stalk end of a watermelon', 'E-mart', 'Haman', 'Gochang', and 'Lotte Mart' (news: 015-2016), 'apple watermelon', 'Haman', 'E-mart', 'Gochang', and' Mudeungsan watermelon' (news: 2017-2018), 'E-mart', 'apple watermelon', 'household', 'chobok', and 'donation' (news: 2019-2020), 'watermelon salad', 'taste', 'the heat', 'baby', and 'effect' (blog: 2015-2016), 'taste', 'watermelon juice', 'method', 'watermelon salad', and 'baby' (blog: 2017-2018), 'taste', 'effect', 'watermelon juice', 'method', and 'apple watermelon' (blog: 2019-2020) and the results from frequency and TF-IDF analysis presented. And in CONCOR analysis, appeared as four types, respectively. Conclusions: Based on the results, the authors discussed the strategies and policies for boosting the watermelon industry and limitations of this study and future research directions. The results of this study will help prioritize strategies and policies for boosting the consumption of the watermelon and contribute to improving the competitiveness of watermelon industry in Korea. Also, it is expected that this study will be used as a very important basis for agricultural big data studies to be conducted in the future and this study will offer watermelon producers and policy-makers practical points helpful in crafting tailor-made marketing strategies.

• Journal of Distribution Science
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• v.13 no.7
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• pp.33-40
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• 2015

Purpose - This study aims to find out what impacts large retailers' behaviors appearing when they promote the strengthening of their market dominating power in the trade relations with small and medium suppliers or in the market can have on consumers. Research design, data, methodology - This study analyzed negative information (news) on large retailers (Lotte Mart, E-Mart and Homeplus) based on the monthly data over the past five years from 2008 to 2012 and also analyzed the correlation between dependent variables that are likely to affect sales through large retailer economic index, Results - This study conducted a correlation analysis on the time lag of the factors that have an impact on the negative information and sales of large retailers in order to analyze how consumers respond to the choice of large retailers' store (store sales) when they perceived negative information about the un- ethical behaviors of large retailers. Conclusions - Unfair and negative information on large retailers appeared significant for the hypothesis that sales will be affected by the image of large retailers and change of consumer attitudes.

• The Journal of Industrial Distribution & Business
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• v.5 no.3
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• pp.25-34
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• 2014

Purpose - This study aims to investigate Korean distribution enterprises' entry into the Chinese market. By studying Korean companies' strategy and current situation in the Chinese retail market and analyzing Lotte Mart's strategy, this study was aimed at identifying comprehensive strategies for Korean companies striving to expand in China's retail market. Research design, data, and methodology - A case study approach is used, focusing on the three northeastern provinces in China, and examining global firms' entry into the Chinese market. The study employed a direct survey and a literature review. Results - Korean distribution firms' entry into the overseas market is in the inception stage and it should be developed, considering its effects on the national economy and other industries. Conclusion - The cases of E-mart and Lotte Mart, representing Korean distribution firms, showed that they should not rely on scale to succeed in China. Both preliminary analysis and careful strategies are required to ensure success. Considering the high growth potential of the Chinese market, a management strategy that takes account of Chinese people's emotions was needed.

• Information Systems Review
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• v.7 no.1
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• pp.65-80
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• 2005

The Seoul Metropolitan Subway Corporation (SMS) and the Seoul Metropolitan Rapid Transit Corporation (SMRT), which manage the city's eight subway lines, are intending to overcome their operational inefficiencies. The two investigators of the paper realize with emphasis that it is essential for the two subway authorities to analyze subway transit data prior to put policies and plans into practice. In this paper, the investigators propose a new, and an intuitive, way of analyzing subway passenger transit patterns. To achieve this goal, they have implemented a data mart by blending the "Pass Card" log data into the multidimensional model. The subway passenger's transit patterns and the practical implications of this system are also investigated.

• 한국가시화정보학회:학술대회논문집
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• 2005.12a
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• pp.69-73
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• 2005

Three-dimensional density distributions of an impinging and eccentric flame have been analyzed numerically and experimentally by a combined optical system with a digital speckle tomography. The flame has been ignited by premixed butane/air from air holes and impinged vertically against a plate located at the upper side of tile burner nozzle. In order to compare with experimental data, computer synthesized phantoms of impinging and eccentric flames have been made and reconstructed by a developed three-dimensional multiplicative algebraic reconstruction technique (MART). A new scanning technique has been developed for the analysis of speckle displacements to investigate wall jet regions of the impinging flame including sharp variation of the flow direction and pressure gradient. The reconstructed temperatures have been compared with a temperature photography by an infrared camera and results of numerical analysis using a finite-element method.

• 한국가시화정보학회:학술대회논문집
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• 2004.11a
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• pp.34-35
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• 2004

Three dimensional density distributions of impinging and eccentric flames have been investigated by digital speckle tomography. The flames have been ignited by a mixture of butane and air from a circular nozzle and impinged against a plate located at the upper side of the burner exit. For comparison with experimental data, computer synthesized phantoms of impinging and eccentric flames have been reconstructed by a developed three-dimensional multiplicative algebraic reconstruction technique (MART). The advanced reconstruction in the stagnation flow region involved the sharp change of the flow direction and pressure gradient has been developed using a cross-correlation method and new scanning technique for the speckle displacement.