• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.39-49
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• 2020

This study empirically examines herd behavior for fast moving consumer goods (FMCG) sector stocks under varied market return conditions and the period during the global financial crisis and its aftermath. We examine the sample of stocks trading on the Nifty FMCG Index of the Indian equity market from January 2008 up to December 2018 using the dispersion measure of cross sectional absolute deviation and examine its relationship with the market return to explore herd phenomenon. Quantile regression estimate is used and the results of the study validate rational asset pricing models as the sector does not display herding. In contrast, anti-herd behavior at lower and median quantile values is observed. A possible reason can be the non-cyclical nature of the industry where investors rely more on the fundamentals rather than crowd chasing. We also findthe absence of herd phenomenon during the market asymmetries of bull and bear phases, extreme movements, the period of the global financial crisis, and afterward. We further examine herding under the impact of the information technology (IT) industry and conclude that significant return movements in IT sector impact dispersions in the FMCG industry. Also, there is a co-varying risk between the two sectors confirming the spillover in an integrated market.

• 디지털산업정보학회논문지
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• 제7권4호
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• pp.111-118
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• 2011

Recent advances in the media have no special change is the development of the 3D stereoscopic image, which started in the movie is coming over now to the broadcast. Confusing variety having, in the production of 3D images that are waiting for the standardized production. 3D images of them being used in broadcast subtitles, first because there is no standardized production systems, making it look is dedicated to the time and effort. This research necessary to create 3D images of these subtitles, titles, text-based objects, such as Rig imaging using a standardized way to synthesize the most stable is proposed. First, with captions or titles, and the readability and understanding of the uniqueness to the human eye to create an environment that is kind of crowd. Because of this, excessive camera Ferrell Rex (gap) created a branch bunch of snow, work should not hurt readability. 100 adult men and women throughout the experiment.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.207-218
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• 2021

The present research intends to examine the herding aspect during the COVID-19 outbreak. The study is conducted to achieve specific objectives, so the underlying sampling technique is purposive sampling. The considered data source is the Pakistan Stock Exchange (PSX). Daily stock prices of 528 listed companies in PSX have been taken from the official website of PSX from 1998 to 2021. The current study envisions investigating the herding aspects for pre-pandemic and the time covering the pandemic period. The study has also targeted ten sectors of PSX. The present study's motive is to investigate investors' herding prospects before and during the pandemic in the Pakistan Stock Exchange (PSX) and its selected sectors. Daily closing stock prices of listed companies have been collected from the official website of PSX to calculate the stock returns. The Cross-Sectional Absolute Deviation (CSAD) has been used as a herding measure. Findings revealed that herding has not been observed in PSX during both time spans and even not during the bullish and bearish trends. However, robust sectoral evidence has been observed during the pandemic. It implies that investors in PSX tend to follow the crowd irrespective of making their own decisions to avoid further losses.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.117-126
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• 2021

The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: UI design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2006년도 정기학술발표대회 논문집
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• pp.204-209
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• 2006

최근 건설업의 불황에도 불구하고 고유가에 힘입어 해외 플랜트 시장 특히, 중동의 플랜트 시장은 크게 호황을 이루고 있다. 이는 고유가를 바탕으로 한 중동의 여러 국가에서 대규모프로젝트를 계속적으로 발주를 하고 있어 국내 건설사들은 이러한 플랜트 수주를 통하여 건설 불황을 타개하려 하고 있다. 현재에는 플랜트 시장이 전반적으로 호황을 이루기에 국내 건설사들이 해외 수주를 하는데 있어 큰 어려움을 겪지는 않고 있으나, 고부가가치이며 수익성이 높고 고도의 기술력이 요구되는 원천기술은 선진 엔지니어링 회사에서 과점 형태로 시장을 점유하고 있어 우리와 같은 후발 주자들은 단시간 내에 그 대열에 합류하기란 큰 어려움이 예상된다. 따라서 본 연구에서는 국내 기업의 경쟁력을 강화시키기 위한 방안으로써 플랜트 공사 구매조달 시 담당자의 지식 및 업무능력 범위 내에서 업무가 수행되는 것을 시스템화하여 모든 구매조달 관련자가 선진 수준에서 업무를 수행할 수 있도록 하는 구매조달 시스템과 이에 연계해서 자원 운영을 최적화 효과를 얻을 수 있도록 현장 내 자재 관리 시스템을 구축을 제시하려 한다.

• 디지털융복합연구
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• 제10권1호
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• pp.365-369
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• 2012

본 논문에서는 열차 선로 모니터링을 위한 열차의 위치 및 이동을 추정하는 비전 기반 기법을 제안한다. 퍼지 분류기를 이용하여 열차의 상태를 판별하며, 프레임 차와 배경 감산을 각각 열차의 움직임과 존재를 판결하기 위해서 사용하고, 퍼지 분류기의 언어 변수로 사용된다. 실험 결과에서 제안하는 기법은 열차의 위치와 움직임을 정확히 추정하는 것을 볼 수 있다. 그러므로 제안하는 기법은 군중 밀도를 추정하거나 안전 감시를 수행하는 열차 모니터링 시스템에 활용될 수 있을 것이다.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2008년도 추계학술대회
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• pp.157-160
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• 2008

The recent successes of systems like Google, Wikipedia and InnoCentive suggest that the time is now ripe for more such systems. Thus, we want to explore these systems and exploit them from a viewpoint of social psychology prior to technological progress. First of all, we examine the difference between 'wisdom of crowds' and 'crowd psychology'. There are two classes, which are for senior management major students. Conditions of two are same, except a class time. Forty five students in one class are tested for this experiment. They form a group with five people and are divided into 9 groups. In a case of a morning class, peer-to-peer evaluations are given to individuals in a class when a group presentation for a final project is given. On the other hand, in a case of afternoon class, peer-to-peer evaluations are given to each group in a class. The result is quite fruitful. The first is that an expert's evaluation for a project agrees with students, who are beginners in this field in the degree of more than 95%. However, in the case of afternoon class, students' group evaluation turns out to agree with an expert's one less than 53%. Morning class experiment result proves the truth of collective intelligence again. It tunrs out independent and confidential opinions are more cost effective and give right answers to questions than group opinions.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.135-145
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• 2019

The paper aims to investigate the factors of brand equity affecting the purchase intention of car buyers in Ho Chi Minh City. The authors use qualitative method and quantitative research to study the matters, specifically using scales and data collected for Cronbach alpha reliability testing, analysizing the discovery factor of EFA, CFA and verifying the regression models through AMOS software with SEM linear modeling. The study proposes four factors: (1) brand awareness, (2) self-expression value, (3) perceived quality, (4) brand psychology impacting on the brand loyalty and intention to buy cars of customers. The results show that all four factors are statistically significant for positive brand loyalty and purchase willing. The results showed that brand loyalty positively affects consumers' intention to buy cars. Among the factors included in the study, the brand psychology is a new factor which developed by experts in the context of Vietnam. This is the first study in Vietnam to quantify clearly the element of "crowd psychology" affecting the interests and habits of Vietnamese consumers. This explains why Vietnamese consumers prefer brands that are familiar in the market and some new cars with nice models and colors suitable for Vietnamese psychology.

• Asia pacific journal of information systems
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• 제29권1호
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• pp.35-49
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• 2019

The paper attempts to document the application of relevant Machine Learning (ML) models on Yelp (a crowd-sourced local business review and social networking site) dataset to analyze, predict and recommend business. Strategically using two cloud platforms to minimize the effort and time required for this project. Seven machine learning algorithms in Azure ML of which four algorithms are implemented in Databricks Spark ML. The analyzed Yelp business dataset contained 70 business attributes for more than 350,000 registered business. Additionally, review tips and likes from 500,000 users have been processed for the project. A Recommendation Model is built to provide Yelp users with recommendations for business categories based on their previous business ratings, as well as the business ratings of other users. Classification Model is implemented to predict the popularity of the business as defining the popular business to have stars greater than 3 and unpopular business to have stars less than 3. Text Analysis model is developed by comparing two algorithms, uni-gram feature extraction and n-feature extraction in Azure ML studio and logistic regression model in Spark. Comparative conclusions have been made related to efficiency of Spark ML and Azure ML for these models.

• 한국재난정보학회 논문집
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• 제19권3호
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• pp.656-664
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• 2023

연구목적: 고용노동부에서는 사업장 내 화재·붕괴 등의 대형재난이 발생하면 사업장 대규모 인적사고 위기관리 표준매뉴얼에 근거하여 재난을 관리하고 있다. 현재 운용중인 표준매뉴얼을 점검하고 미흡한 항목에 대해 개선방안을 제시하고자 한다. 연구방법:이에 따라, 재난관리 매뉴얼 내·외부 전문가, 본부·지방관서의 재난업무 담당자 등과 함께 표준매뉴얼을 점검하였고 우선적으로 개선해야 할 항목을 도출하였다. 연구결과: 붕괴사고의 경우에는 재난관리 주관부처 선정의 논란을 제거하기 위해 행정안전부에서 선정기준을 정확히 제시할 필요가 있으며, 인파밀집사고의 경우에는 표준매뉴얼 보다는 행동·실무 매뉴얼에 구체적으로 반영하여 유사시 근로자 대피 안전성을 확보해야 할 것이다. 이 외에도 재난안전 통신망 운영 및 대피요령에 대해 상세한 내용의 추가 보완이 필요해 보인다. 결론: 향후에도 국민의 눈높이에 부응하는 재난관리 제도 개선을 위해서 해당 분야별 전문가, 재난업무 담당자, 그리고 일반시민 등의 의견수렴을 통해 근로자의 생명과 안전을 보장하고 좀 더 현장감 있는 사업장 대규모 인적사고 위기 관리 표준매뉴얼 마련을 기대한다.