• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.61
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• pp.249-272
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• 2014

The purpose of this study is to seek the revitalization plans of export platform for supporting export enterprise of the domestic public services. To activate the export platform, alternatives to two aspects are required as follows. First of all, a governance plan of export platform should be established. At present, an operation entity of export platform, which is still developing stage, is not yet established. In this situation, even though export platform developed, it will faced with inefficient operation. Therefore, an operation entity and appropriate business model are important to the platform activation. second, to activate platform, it is necessary to support export process of life cycle. In particular, the service, which can support the business strategies setting and project implementation stage, is required. In addition, in order to activate the export platform is need to operate with he government's support program.

• Korea Trade Review
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• v.44 no.2
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• pp.21-35
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• 2019

This study analyzes factors that affect the corporate value of Korean companies operating in Latin American countries. Primary factors are associated with characteristics of the host country, the parent company, and subsidiaries. Empirical results show that asset specificity is the main factor influencing firm value. This region is geographically far from Korea and culturally different. Therefore, the source of competitive advantage such as asset specificity should be large enough to offset liability of foreignness for successful entry into the region. This paper also found that joint ventures are more advantageous than direct investments. Joint ventures in Latin American can minimize risk, complement technology and information, and reduce trade barriers.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.41-50
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• 2022

Purpose - Through multinational corporate ethics and environmental, social, and governance (ESG), various policy and strategic countermeasures for transparent management in the management and economic fields are presented. Research design, data, and methodology - A literature review is conducted to find important areas for transparent management and to summarize and present transparent management countermeasures based on simple brainstorming opinions from experts. Result - Issues facing transparent management are presented. In particular, multinational enterprises present cases involving prevention of transfer prices and tax avoidance in relation to Industry 4.0. Additionally, a plan is presented to establish a corruption-free economic system through the practice of ESG transparency, ethical management of social enterprises, and transparent management. Conclusion - According to the brainstorming opinions of experts, ESG management and ethical management should be the cornerstone of transparent management in the future. Therefore, it is necessary to institutionally supplement the imposition of digital taxes on fourth industrial companies.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.461-476
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• 2022

AI is recognized to be a key technology for digital transformation (DT) and the value of AI is considered to determine the future of the company. However, in reality, although managers acknowledge the future value of AI and have plans to introduce it, most are not sure what to expect from AI or how to apply it to their business. This study compares two company cases to demonstrate how an organization has successfully achieved AI led organizational change while another failed. Specifically, by taking institutionalist's view, this study examines how the legitimacy enables and constrains AI led organizational changes in organization's practices, processes, and infrastructure. The results of this study indicate that for the success of AI led organizational changes, the legitimacy plays an important role by reducing the challenges from stakeholders and increasing the institutional momentum to move through the phases of the change.

• Informatization Policy
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• v.30 no.1
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• pp.3-22
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• 2023

This review article summarizes the issues around platform business with government regulation. We illustrated types and characteristics of platform business. We examined the current policy tools and government activities for regulating platform business in a digital economy. Policy tools of government regulation for platform business are not suitable or fit at times. We suggest an approach to look at the fit of platform business types and regulation policy tools. We also offer a policy recommendation to define situations whether to focus on minimizing conflicts among stakeholder or invite them to participate in anticipatory decision making process for new technology market.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.2
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• pp.237-253
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• 2022

This article offers an account of how regional development policy in Korea has evolved under the influence of actor-networks comprising the cultural circuit of soft capitalism. In so doing, the roles played by transnational actor-networks forged between global consulting firms and national business media are emphasized. For this discussion, the waning of spatial Keynesianism in the country is contextualized in the first place, with particular attention to changing planning goals of key regional development policies including consultancies, influential policy gurus (e.g., Michael Porter and Richard Florida), and local business media outlet Maekyong are found to be key movers and shakers in the transition. These empirical findings call for striking a balance between dominant structuralist accounts and emerging actor-oriented approaches, and also help shed a new light on the dualistic conceptualization of managerialist and entrepreneurial governance in a way that the latter may be a new form of the former.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.85-100
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• 2023

Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.235-242
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• 2022

The ultimate motive of the paper is to establish whether financial inclusion (FI) has a consequential impact on the Sustainable Development (SD) of India. This study uses one model for the assessment of the influence of FI through the Co-Operative bank network on SD. This is purposely done to analyze the absolute impact of the role of the Co-Operative bank network in the said context. The sample encompasses data taken from 28 states and 3 Union Territories for two years (FY2018-FY2020). Assessment of data for the remaining Union Territories is not undertaken for the reason of the non-availability of data for other Union Territories. This study uses Panel Data Analysis (PDA) to establish the nexus of the relation between the said variables. Results of this study reveal elevated levels of SD resultant of increased FI thereby indicating a positive and significant relationship between the said variables. Unlike previous studies, this study gives India-specific significant findings, which suggests policy formulation for increasing the numbers and improving the governance of Co-Operative bank networks for SD. Co-Operative bank network as a proxy despite having high weighted significance in FI has not been incorporated in any recent study as per the last updated knowledge of authors.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.67-74
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• 2021

This study aims to examine and analyze the effect of Risk Profile, Good Corporate Governance (GCG), Earnings, Capital (RGEC), and Earnings per Share (EPS) on stock prices with financial distress as an intervening variable. The sampling technique used purposive sampling based on certain criteria and data used was secondary data, that is, annual reports of commercial banks in Indonesia for the period of 2012-2018 with a sample of 23 banks from a total population of 81 banks. This type of research is explanative with a quantitative descriptive approach to describe or explain quantitative data. The data obtained was analyzed using SEM (Structural Equation Model) with the AMOS Program. The results showed that RGEC, EPS, and financial distress affect stock prices. This is based on testing the direct effect as indicated by a p-value that is smaller than 0.05. Based on the mediation test, the results show that financial distress cannot mediate the effect of RGEC and EPS on stock prices as indicated by a p-value greater than 0.05. The implication of this research is very important for investors to analyze stock price changes based on RGEC, EPS, and financial distress to gain profits. In addition, there are various warning signs indicating that a company is experiencing financial distress or it is heading towards such a state. Being aware of these signs can help prevent failure.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.55-68
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• 2017

This research is carried out to investigate the relationship between sustainability practices and performance in a financial sense for Malaysian Oil and Gas sector. Objectives include to study the state of sustainability disclosure among Malaysian oil and gas companies, to understand if companies that practiced sustainability had better performances to their financial bottom-line and to conduct a data analysis to understand the relationship between Environmental, social and governance performance [represented by the acronym ACSI] and financial performance. Sustainability performance is measured using ACSI checklist, which is an adaptation of the GRI 3.0 by Global reporting initiative while financial performance was measured on financial and profitability parameters namely EBITDA, EPS and PE ratio. Secondary data sources are used which were then converted into a rating scale to develop quantitative data. SPSS 21 is used for the analysis. The result shows that the majority of oil and gas companies in Malaysia had poor performance in terms of sustainability disclosure. On all three chosen profitability parameters, the companies that practiced sustainability were found to perform better than their counterparts that did not. Strong and significant relationship exists between sustainability practices and better financial performance.