• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• The Korean Journal of Applied Statistics
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• v.19 no.1
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• pp.43-55
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• 2006

CS(Customer Satisfaction) has been focused as one of the most important factors in business administration nowadays. After measuring and evaluating CS level, most companies are performing many activities to improve it. Therefore, it is very important for driving CS management to measure the exact CS level. When measuring CS level, however, CSI(Customer Satisfaction Index) is changed by the computing method of importance for CS factors, and the corporate strategy is changed by CSI. In this research, some computing methods are reviewed and compared through the analysis of real data. Also, a hybrid computing method for CSI is proposed and compared it with other methods.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.659-672
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• 2020

The outbreak of a recent strain of Coronavirus, known as 'COVID-19', has spread sharply from China across the globe, resulting in a dramatic recession in the global economy. This uncertainty has therefore negatively influenced the business perspective and the various formulated strategies that may not considered such [extreme] circumstances. Using baseline analysis and archival data, this paper reports some of the major implications of COVID-19 on global business and strategy and puts forward suggested research agenda as potential future directions for organizations. In order to survive and remain sustainable, this paper argues that businesses need to revisit their strategies during current COVID-19 crises from three perspectives, including supporting human resources financial commitment, forming cross-functional teams and connecting with their supply chains, as well as investing in corporate social responsibility and doubling down efforts with regard to partnerships. The study also represents a preliminary analysis to the implications of COVID-19 on the business and strategies across the globe and is considered the first such in the field of business, as to date all research papers on COVID-19 have been published in medical-related journals. Directions for future research are also proposed at the end of this study.

• The Journal of Information Systems
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• v.23 no.4
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• pp.1-24
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• 2014

This study is intended to examine two issues related with social media messages. At first, the authors investigate that how they can categorize messages in the social media and how corporate twitters and brand twitters communicate with consumers. Secondly, after dividing messages in the social media into several groups, the authors investigate how each type of messages differ one another in terms of the consumer response. For examining these research issues, the authors gather twitter message data of global top 100 brands and categorize messages into 5 types (i.e., interactivity, diversion, information sharing, promotional, content) based on the motivation of communication and the format of the messages. Especially, the authors use content analysis methodology, which is normally used as the qualitative approach, in order to identify the type of messages. Furthermore, the authors present interactivity type of messages can communicate better with consumers and induce more favorable responses from consumers in the social media than any other type of messages. This research can provide implications in terms of theoretical, methodological, and managerial perspective.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.131-144
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• 2020

The study investigates the impact of factors on environmental accounting implementation in mining enterprises in Binh Dinh province, Vietnam. The survey was carried out in three phases: 1) a draft survey form; 2) in-depth interviews with experts; 3) design questionnaire. The survey respondents were people who had knowledge of environmental information in mining enterprises in Binh Dinh province, including: accountant, chief accountant, financial deputy director or director. The questionnaire was is sent directly or through Google Form tool. The author received 162 responses votes from the survey respondent, out of which 13 were unusable due to missing data. Thus, 149 valid responses votes were used. This study employs Cronbach's alpha analysis, exploratory factor analysis and multivariate regression analysis. The results showed the influence of five different factors on environmental accounting implementation in mining enterprises in Binh Dinh province: stakeholders pressure, corporate characteristics, coercive pressure of government agencies, environmental awareness of senior managers and accountant qualifications of environmental accounting. While the pressure of stakeholders has a negligible influence, the remaining four factors (coercive pressure of government agencies, environmental awareness of senior executives, business characteristics, accountant qualifications of environmental accounting) have significant effect on environmental accounting implementation in mining enterprises in Binh Dinh province, Vietnam.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.619-628
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• 2021

Enterprise system (ES) reflects a significant IT commitment to achieve corporate goals and satisfy its thrust toward a sustainable competitive advantage. This research investigates the required ES architecture, the value of a well-planned ES, and the human factor capabilities that drive the effective implementation of ES from a management perception. This paper examined the critical factors shaping the business systems' performance, architecture readiness, experts' readiness, and enterprise systems planning. Based on an extensive literature review, the attributes of factors mentioned earlier were identified, classified and then statistically examined using the author's' proposed conceptual structural model. This study employs a quantitative research methodology, with a random sampling technique. This paper has used the data collected from 510 respondents working in service, engineering and health sectors in OMAN. The study model analysis utilized both exploratory and confirmatory factor analysis, followed by a structural equation modeling using SPSS 25 and EQS6.3 statistical tools. The results unveil a piece of remarkable and robust evidence suggesting that ES planning is the most significant aspect of influencing performance, followed by IT personnel, staff and consumers expertise, and architecture readiness.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.493-504
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• 2022

Purpose - This study investigate the effect of innovative capacity on corporate export performance and moderating flexibility. Design/methodology/approach - For this, hypotheses were established by reviewing previous studies and an empirical analysis was conducted for testing. Using SPSS 22.0, a frequency analysis of related variables was conducted. Through an exploratory factor analysis, validity and reliability tests of measuring tools were conducted and a descriptive statistics was analyzed for collected data result and hypotheses testing. Findings - Finally, with a verified model, the hypotheses and the moderating effects were tested. The results are as follows; The innovationa capacities have a positive effect on export performance and flexibility However, the flexbilitiy was not moderator in the relationship between innovative capacity and export performance. Research implications or Originality - According to the results above, this study presents directions to improve export performance of technological innovative type SMEs. The innovative capabilities, marketing capacity, organization innovative capacity and process innovative capactity, has an positive effect on

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.12-19
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• 2022

This study explored the determinants of first job employment outcomes(employment status, salary, company size) of engineering college graduates using 2018 Graduates Occupational Mobility Survey(GOMS) data. Independent variables were used as variables for personal characteristics, academic background, and job preparation efforts. The priorities and interactions between the factors determining employment outcomes were identified using the decision tree analysis. The research results are as follows. First, it was found that the most important factor in determining the 'first job employment status' was 'exam preparation(public and private company, test for teacher recruitment)' among individual's job preparation efforts. Second, the most important factor in determining 'first job salary' was 'gender' among individual characteristics. Third, the most important factor in determining the 'first company size' was the experience of 'corporate job aptitude study' among individual's job preparation efforts. Based on the results of the analysis, suggestions for establishing customized career development strategies for engineering college students were presented.

• The Journal of Industrial Distribution & Business
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• v.13 no.1
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• pp.23-32
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• 2022

Purpose: This study used ESG grade, but defined AESG, adjusted to the size of a company and examines whether it can be used as an investment strategy. Research design, data and methodology: The analysis sample in this study is a company that has given an ESG rating among companies listed on the Korea Stock Exchange. We examine the results through portfolio analysis and Fama-macbeth regression analysis. Results: As result of examining the long-only performance and the long-short performance by constructing quintile portfolios, it was observed that a significant positive return was shown. It was observed that there was an alpha that could not be explained in asset pricing models. Also, AESG had a return prediction effect in the result of a Fama-Macbeth regression that controlled corporate characteristic variables in individual stocks. Next, we confirmed AESG's usage through various portfolio composition. In the portfolio optimization, the Risk Efficient method was the most superior in terms of sharpe ratio and the construct multi-factor model with Value, Momentum and Low Vol showed statistically significant performance improvement. Conclusions: The results of this study suggest that it can be helpful in ESG investment to reflect the ESG rating of relatively small companies more through the scale adjustment of the ESG rating (i.e.AESG).

• Korean Journal of Artificial Intelligence
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• v.11 no.2
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• pp.7-17
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• 2023

Artificial Intelligence (AI) technology has already penetrated deeply into our daily lives, and we live with the convenience of it anytime, anywhere, and sometimes even without us noticing it. However, because AI is imitative intelligence based on human Intelligence, it inevitably has both good and evil sides of humans, which is why ethical principles are essential. The starting point of this study is the AI principles for companies or organizations to develop products. Since the late 2010s, studies on ethics and principles of AI have been actively published. This study focused on AI principles declared by global companies currently developing various products through AI technology. So, we surveyed the AI principles of the Global 500 companies by market capitalization at a given specific time and collected the AI principles explicitly declared by 46 of them. AI analysis technology primarily analyzed this text data, especially LDA (Latent Dirichlet Allocation) topic modeling, which belongs to Machine Learning (ML) analysis technology. Then, we conducted a Delphi technique to reach a meaningful consensus by presenting the primary analysis results. We expect to provide meaningful guidelines in AI-related government policy establishment, corporate ethics declarations, and academic research, where debates on AI ethics and principles often occur recently based on the results of our study.