• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.29-38
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• 2022

The enormous sway of COVID-19 on the international financial market has been felt across the globe. The financial markets of Bangladesh have also been similarly affected by the global epidemic and experienced a significant increase in volatility. To scrutinise the connection between COVID-19 and the Dhaka Stock Exchange (DSE) indices' return and instability, this study uses data of the DSE from February 2014 to September 2021. A comparative examination of the return and instability of the stock indices of the DSE has also been done considering the outbreak of the current COVID-19 situation. After using the GJR-GARCH (1,1) model, this review uncovers that the outbreak of COVID-19 has a statistically positive noteworthy association with the DSE stock indices' instability, which increases the market's volatility. Traders' fear and the rising frequency of COVID-19 reported patients could cause this. Besides, according to this study, COVID-19 shows a substantial positive linkage with stock market returns that increases the market's return. An appealing valuation, lower interest rates in the banking channel, economic rebound following the closure to prevent coronavirus transmission, improved remittance inflows, and a return of export revenues could all have contributed to this outcome. In addition, the findings also reveal that all market indices are in a mean-reverting phase.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.51-66
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• 2018

As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.

• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.409-424
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• 2016

This study analyzed the causal relationship among factors that influence the purchase intensions for individual pensions which have a growing importance as a financial means after retirement. For this purpose, structural equation modeling based on the survey data (N = 928) was conducted to analyze psychological factors and financial factors comprehensively. According to empirical results of the structural equation, in the case of non-subscribers of individual pensions, potential longevity and coping efficacy influenced the purchase intensions for individual pensions fully mediated by fear and worry about longevity. Trust in insurers and risk tolerance directly influenced the purchase intensions for individual pensions. These show that trust in insurers is the most important factor in purchase intensions for individual pensions. Also, only trust in insurers give a direct impact on individual pensions in the case of individual pension subscribers. Longevity-related emotional side is expected to help in marketing activities that target potential customers signing individual pensions. In addition, trust in insurers has the greatest impact on new and additional subscriptions that represent critical efforts to improve trust in insurers.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.265-284
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• 2010

B2B e-commerce guarantee service is a guarantee service combining the electronic systems among Korea Credit Guarantee Fund(KCGF), banks and e-marketplaces to process all procedures on internet ranging from application for credit guarantee, issue of written guarantee and contracting for a commerce to payment. B2B e-commerce guarantee service plays as an intermediary role in financial support for small and mediumsized enterprise(SME), which are small size, low credit level, and unfavorable status in many aspects compared to major companies. Despite the B2B e-commerce guarantee service has various advantages conducive to promotion of e-commerce among small and medium businesses as well as development of e-commerce itself, it has yet to be diffused due to lack of acknowledgement, misunderstanding of its functions and vague psychological fear of the on-line settlement. Thus, this study identifies the values and effects of the B2B e-commerce guarantee service using financial data and cases. The process of this study is 4 phase. first phase is analysis of B2B e-commerce guarantee service and e-Marketplace. second phase is analysis of performance from the Perspective of Diverse Participants. third phase is analysis of economic performance and support for SME. last phase is policy suggestions and conclusion.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.165-180
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• 2019

Recently, the Korean government announced that it would focus on fostering intrapreneurship and corporate spin-off. The government encourages intrapreneurship because it ultimately seeks to develop industries and markets, grow innovative companies, and job creation. In particular, the government believes that enhancing intrapreneurship will reduce the personal fear of failures, expand open innovation by utilizing resources within existing companies related to innovation creation, and lead to new start-ups. Accordingly, this research reviewed the previous studies on corporate entrepreneurship activities and entrepreneurial self-efficacy and briefly looked at the status of global intrapreneurship activities. Based on the Global Entrepreneurship Monitor Adult Population Survey data in 2015, this study conducted a logistic regression analysis with the data of 27 OECD member countries' and Korean respondents. The finding confirms that the personal experience of intrapreneurship could be positively associated with entrepreneurial self-efficacy of the person. Therefore, it seems to be worth for the Korean government considering policies that support intrapreneurship as part of the start-up policy.

• Safety and Health at Work
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• v.11 no.4
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• pp.450-457
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• 2020

Background: The production of glass beads in Ghana is greatly impacted by the ingenuity of Ghanaian women. Preliminary investigations revealed the lack of interest on the part of women due to poor working conditions as a result of the influence of culture-specific silence. Therefore, the study investigated the poor working conditions faced by these industrious women with the ultimate goal of suggesting ways they can be empowered. Methods: A phenomenological study was conducted in two indigenous glass bead communities in Ghana. Data were solicited via direct observations, personal interviews and focus group discussions. Twenty-six purposively sampled respondents were recruited for the study. Data from the study were analyzed using Interpretative Phenomenological Analysis. Results: The results confirmed that the elderly women glass bead makers are much influenced by the Ghanaian culture of silence. This prevents the women from speaking about the challenges they are facing in their work. Also, the women are silenced because of the fear of losing their jobs as well as the reluctance of their male managers to remedy the challenges they encounter in the course of work. This has resulted in poor remuneration, lack of insurance packages for workers, certification, and absence of personal protective tools for the women. Conclusion: The study tasks the government of Ghana, the Legal Advocacy for Women in Africa (LAWA), the Fair Wages and Salaries Commission in Ghana, the Ghana Trade Union as well as the Local Government Workers' Union to empower the women to sustain the glass bead industry in Ghana.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.115-127
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• 2014

The national Entrepreneurial policy of Start-up assists the young and college students to be raised as entrepreneur in various ways seeking solution for serious unemployment problem. Many young generation start-up a business without prior knowledge and experience in management that end up as a case of failure rather than success. Many young pre-entrepreneur are afraid of Start-up and hesitate or give up before start. Now many Entrepreneurship education contents and Entrepreneurship mentoring programs are being provided for pre-entrepreneur. Especially, Entrepreneurship mentoring programs's importance to ease off these fear and anxiety is recognized and Mentoring program's part and contents are being enhanced in Entrepreneurship education content. In this study, the influence of Entrepreneurship mentoring program to young and brilliant entrepreneur who wants to start a business will be explained. The function of Entrepreneurship mentoring to improvement of entrepreneurial capability will be anaylzed and by using the function of Entrepreneurship mentoring and entrepreneurial capability, the moderating effect of start-up preliminary period and start-up aim period is examined. The results of as regression analysis, the study found out the function of Entrepreneurship mentoring has a positive significant influence with entrepreneurial capability which means technological competence and creativity competence. For the moderating effect of start-up preliminary period and start-up aim period, it is found out that the effect does not have a significant influence on the function of Entrepreneurship mentoring and also technological competence, but on creativity competence, significant influence was found. However, after looking at the moderating effect that is considered to be related to entrepreneurial capability, for the function of mentoring only the effect on start-up preliminary period.

• Management & Information Systems Review
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• v.39 no.2
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• pp.127-143
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• 2020

As customers' irrational, rude behaviors are often covered by media recently, the issue is becoming a more serious social issue. Workers' stress in the service industry is very severe because they have to face and interact with customers with rude behaviors in-person due to the nature of the job. As a result of customers' rude behaviors, workers even desire to leave their organization because they feel doubts about their job and have negative emotions such as unpleasantness, depression, and fear. Considering that customers' rude behaviors directly impact service industry workers' ability to offer proper service, it is necessary to have appropriate measures against their rude behaviors. This research examined the impact of customers' rude behaviors on service industry workers' emotional dissonance, its impact on job stress, and the impact of job stress on organizational deviance, life violations and creativity. The study also analyzed the moderating effects of stress management education in emotional dissonance and job stress relationship to device ways to manage job stress more positively. To collect data, the study conducted a survey on medical service workers in the customer service sector of large general hospitals and small or medium-sized hospitals in Busan, and the results were as follows. First, rude behaviors had a significant positive(+) effect on emotional dissonance, which had a significant positive(+) effect on job stress. Third, job stress had a significant positive(+) effect on both organizational deviance an life violations. Fourth, job stress had a negative(-) significant effect on creativity. Fifth, there was no moderating effect of stress management education in the relationship between emotional dissonance and job stress.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.45-60
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• 2023

In this study, we analyzed the influence of middle-aged office workers' entrepreneurial competency and entrepreneurial opportunity recognition on entrepreneurial intention by mediating entrepreneurial opportunity evaluation. Sub-variables of entrepreneurial competency were classified into prior knowledge, positive attitude, and social network. For the empirical analysis of this study, an online survey using Naver Office was conducted for about 15 days (February 6, 2023 - February 20, 2023) targeting office workers across the country who are interested in starting a business, and a total of 262 copies were collected and missing values. For 250 copies excluding 12 copies, SPSS Ver.24.0 and PROCESS MACRO Model 4.0 were used for empirical analysis. The results of the analysis are as follows: First, the higher the prior knowledge of the founder's individual competency, social network, and entrepreneurial opportunity recognition, the higher the entrepreneurial opportunity evaluation and entrepreneurial intention. On the other hand, it was found that the positive attitude among entrepreneurs' individual competencies did not affect entrepreneurship opportunity evaluation and entrepreneurial intention. In addition, the magnitude of the influence on entrepreneurial opportunity evaluation and entrepreneurial intention was in the order of entrepreneurial opportunity recognition, prior knowledge, and social network. This is because the positive attitude of middle-aged office workers towards start-up has a negative image of start-up due to the shrinking start-up environment due to COVID-19, fear of failure due to lack of preparation for start-up, and successive cases of start-up failure due to cognitive bias errors due to overconfidence. implying that there is Second, it was found that the evaluation of entrepreneurship opportunities had a significant positive (+) effect on entrepreneurial intention in a situation where the entrepreneur's individual competency and entrepreneurial opportunity recognition were controlled. Third, the startup opportunity evaluation was shown to mediate between the prior knowledge of the entrepreneur's individual competency, social network and entrepreneurial opportunity recognition, and entrepreneurial intention, but it did not mediate between positive attitude and entrepreneurial intention. Fourth, among the factors influencing entrepreneurial opportunity evaluation and entrepreneurial intention, entrepreneurial opportunity recognition was found to be larger than founder's individual competency, confirming the importance of entrepreneurial opportunity recognition. Fifth, it was found that prior knowledge and network, which are individual capabilities of the founder, affect the evaluation of entrepreneurial opportunities and entrepreneurial intention, so that strengthening entrepreneurship education to recognize the importance of cultivating prior entrepreneurial knowledge and experience can revitalize middle-aged office workers' entrepreneurship. confirmed.