• Korea Real Estate Review
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• v.28 no.2
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• pp.21-34
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• 2018

The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.391-414
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• 2011

The advance into the overseas markets of domestic enterprises has been increasing continuously. Brazil, for domestic companies, has been emerging as the huge potential country in the development of markets and resources. According to the reports from World Bank and Brazil government, one of the biggest difficulties of businesses in Brazil for foreign enterprises is the lack of Transportation Infrastructure and high logistics costs. However, until now, there is no professional institute and systematic DB in Korea to provide the overall information of Brazil logistics or details oriented to enterprises' needs; furthermore, enterprises have the difficulties to gather or investigation the logistics information by themselves due to the constraints of language and budget. For these reasons, with the latest data, this study reviews the overall information of Brazil logistics environment and provides the status of Brazil logistics that is necessary for enterprises to advance into Brazil market. Also, this explains the reason for why Brazil has such a high logistics cost with the objective data. In addition, this paper carried out the benchmarking case study as an example of logistics strategy and plan in Brazil. This study can contribute to serve as useful information for domestic enterprises which planning or doing business in Brazil.

• Journal of the Korean Society of Food Culture
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• v.15 no.3
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• pp.175-188
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• 2000

This study was to investigate the consumption pattern, behaviors, and motivational attitudes related to fruit and vegetables. Data were collected from 344 mothers whose children were attending an elementary school and a middle school in Kimcheon. The average vegetable expenses were under 10,000 won per week. The frequency of purchasing vegetables was 2-3 times a week. Housewives usually bought the vegetables at local markets and grand shopping centers. As for buying vegetables, housewives considered the organic vegetables, preference, price, and nutrition in order. In the family, the vegetables were favored by husbands most and by sons least. The average fruit expenses were under 10,000 won per week. The frequency of purchasing fruit was 2-3 times a week. Housewives usually bought the fruit at local markets and grand shopping centers. As for buying fruit, housewives considered preference, price, and nutrition in order. The fruit were favored by all members most and by husbands least. Housewives identified barriers to increasing vegetables and fruit consumption, including preference for other foods, lack of availability, cost, and time and effort to prepare. Several implications for nutrition interventions were suggested. First, a key motivation for these women was eating healthy food when they are pregnant, suggesting a persuasive appeal to use in interventions. Second, review of the women's current behaviors led to an identification of four specific behaviors that had the most potential for increasing overall consumption. Finally, the findings suggested ways in which nutrition interventions could address each of the barriers identified.

• ETRI Journal
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• v.41 no.1
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• pp.93-108
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• 2019

Guaranteeing interoperability between devices and applications is the core role of standards organizations. Since its first JPEG standard in 1992, the Joint Photographic Experts Group (JPEG) has published several image coding standards that have been successful in a plethora of imaging markets. Recently, these markets have become subject to potentially disruptive innovations owing to the rise of new imaging modalities such as light fields, point clouds, and holography. These so-called plenoptic modalities hold the promise of facilitating a more efficient and complete representation of 3D scenes when compared to classic 2D modalities. However, due to the heterogeneity of plenoptic products that will hit the market, serious interoperability concerns have arisen. In this paper, we particularly focus on the holographic modality and outline how the JPEG committee has addressed these tremendous challenges. We discuss the main use cases and provide a preliminary list of requirements. In addition, based on the discussion of real-valued and complex data representations, we elaborate on potential coding technologies that range from approaches utilizing classical 2D coding technologies to holographic content-aware coding solutions. Finally, we address the problem of visual quality assessment of holographic data covering both visual quality metrics and subjective assessment methodologies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.833-843
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• 2021

This research examines the impact of audit quality on the extent to which firm-specific information is integrated with a firm's share price - which is determined inversely using stock price synchronicity. The study sample consists of non-financial companies listed on the Amman Stock Exchange i.e., the Jordanian Stock Market, from 2014-2018. After examining 810 firm-year observations from Jordanian industrial companies listed on the ASE, during the study period, we find that the companies using one of the BIG4 audit firms for auditing have less synchronous and more informative stock prices, suggesting high-quality audit improved governance and reduce information asymmetry between firms' insiders and investors which enhances the capitalization of firm's specific information into the stock price, thus less synchronous and more informative stock return. The findings remain consistent over 2 separate measurements of stock price synchronicity (Market and Industry model and Market Model) and show robustness for fixed effect tests. Our multivariate regression results are also robust after controlling for a number of features at the firm level with potential associations with stock price synchronicity. These include the firm size, leverage, return on assets (ROA), and market to book value (MBV).

• The Journal of Economics, Marketing and Management
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• v.9 no.2
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• pp.33-43
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• 2021

Purpose: This study aims to verify sellers' economic incentives for voluntarily disclosing negative information in online markets and provide practical guidelines to online sellers in terms of whether, when, and how sharing low quality to buyers increase sales. Research design, data and methodology: Our model examines the number of bidders in Internet auctions to measure potential demand and uses count data analysis following previous studies that have also analyzed the number of bidders in auctions. After checking over-dispersion and zero-inflation in our data, we have run a Poisson regression to analyze the effect of sharing negative information on sales. Results: This study presents a counterintuitive result that low-quality sellers can increase their demand by fully disclosing negative information in an online market, if appropriate risk-reducing methods are employed. Our finding thus shows that there exists economic incentive for online sellers to voluntarily disclose negative information about their products, and that the context of transactions may affect this incentive structure as the incentive varies across product categories. Conclusions: As the positive impact of disclosing negative information has rarely been studied so far, this paper contributes to the literature by providing a unique empirical analysis on the impact of sellers' honesty on sales. By verifying economic incentives of disclosing low quality with actual online sales data, this study suggests practical implications on information disclosure strategy to many online sellers dealing with negative information.

• Patent21
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• s.93
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• pp.30-37
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• 2011

Intellectual property (IF) is essential to standards development although countervailing interests among stakeholders can sometimes undermine trust and inhibit progress. A consequence of slow or non-existent standards development is the loss of potential markets that can emerge only with an internationally recognized standard. Standards developing organizations (SDOs) can enable new markets by ensuring fairness and trust in their venues. The IEEE Standards Association (IEEE-SA) is an SDO that has defined specific steps to facilitate this outcome by means of its internationally recognized patent policy. This paper will describe the underlying principles that guided the creation of IEEE-SA' s policy; highlight five of the major elements of the policy; and suggest a process for integrating IF into standards so that IF stakeholders, in conjunction with standards developers, might agree to meet certain expectations in order for the standards-making process is to be successful and encourage market development.

• Journal of Distribution Science
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• v.21 no.5
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• pp.83-91
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• 2023

Purpose: Increasing their motivation and job satisfaction, employees in the distribution channel may be better able to interact with consumers and provide a more satisfying experience. Thus, increasing employee engagement in the supply chain necessitates a complex strategy considering the distinctive features of wholesale and retail markets. This study investigates how to boost employees' motivation in the supply chain based on the difference between wholesale and retail market. Research design, data, and methodology: The prior study analysis is a useful tool to take a look at relevant previous works via a significant screening and selecting strategy. The Key words based on the topic of the research have used, such as 'Employee Motivation', 'Supply Chain', 'Wholesale' and 'Retail' worker. Results: The findings of this research strongly indicates that motivating employees is essential for the efficient operation of supply chain activities as they continue to expand and become more complicated. The supply chain's two main segments are the wholesale and retail markets, each with distinct characteristics. Conclusions: This research focused exclusively on the factors that motivate supply chain workers, ignoring job satisfaction, corporate culture, and managerial style, which may affect employee motivation. These factors also have the potential to impact employee motivation and should be considered in subsequent research.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.483-497
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• 2023

This study aims to provide strategic recommendations for promoting the development of the global satellite data services industry by analyzing the startup landscape. Based on the analysis of startup data, such as number of startups, market segment, and funding amount, we examined the paradigm shift in the global satellite data services market, particularly its convergence with other market segments. To this end, we derived the cumulative funding-convergence dynamics matrix, which classifies the converging areas into four quadrants by considering the growth rate of converging segments and the cumulative funding amount. In this way, we can specify converging areas in the satellite data services market that bear potential importance for the creation of new markets. The findings of this study are expected to contribute to the advancement of the satellite data services industry and facilitate the exploration of new market opportunities. Furthermore, they can serve as a valuable reference for policy makers, industry stakeholders, government officials, and researchers involved in the satellite data services industry in capitalizing on the emerging space economy.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.2
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• pp.27-31
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• 2023

Purpose: Establishment of a real-time monitoring system for odor control in traditional markets in Gangwon-do and a system for linking prevention facilities. Research design, data and methodology: Build server and system logic based on data through real-time monitoring device (sensor-based). A temporary data generation program for deep learning is developed to develop a model for odor data. Results: A REST API was developed for using the model prediction service, and a test was performed to find an algorithm with high prediction probability and parameter values optimized for learning. In the deep learning algorithm for AI modeling development, Pandas was used for data analysis and processing, and TensorFlow V2 (keras) was used as the deep learning library. The activation function was swish, the performance of the model was optimized for Adam, the performance was measured with MSE, the model method was Functional API, and the model storage format was Sequential API (LSTM)/HDF5. Conclusions: The developed system has the potential to effectively monitor and manage odors in traditional markets. By utilizing real-time data, the system can provide timely alerts and facilitate preventive measures to control and mitigate odors. The AI modeling component enhances the system's predictive capabilities, allowing for proactive odor management.