• 아태비즈니스연구
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• 제13권2호
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• pp.155-168
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• 2022

Purpose - Although the government and civic groups do not always confront each other over the Me Too movement, the two stakeholders are often conflicted. For example, the two interested parties may have different positions in the gender conflict and be often hostile due to debates over how to institutionalize and distinguish actual harm from innocence. In this situation, the strategies of the two stakeholders for their own ends are inevitably interdependent. This paper is a study on the strategic reciprocity of interested parties in relation to the Me Too Movement, which has recently raised a new discourses in our society. Design/methodology/approach - We derive equilibrium of the reciprocity between civic groups(collectively referred to as the Me Too Movement Headquarters) leading the Me Too Movement and government that must preemptively respond to new social issues, and analyze how changes in some external conditions affect the reactions of the two stakeholders. For this purpose we rely on economic methodology. Findings - In the reciprocity between the two forces, we derive an equilibrium composed of the pair of the government's optimal response level and the civic group's optimal strategy, and further derive the comparative static results according to changes in external conditions. Analysis results are mixed with intuitive results and non-intuitive ones. However, even if the result is not intuitive, rational reasoning is possible as long as it is derived through a rigorous model, and it has several implications. Research implications or Originality - Although this study is a positive approach, it is meaningful as a starting point to explore practical discussion directions and alternatives by adding another new perspective and approach to research in other social science fields with many normative studies.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.21-31
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• 2020

Environmental pollution and climate change in Vietnam are now becoming a major concern. This situation is increasing the pressure on the companies to improve their social responsibility in production and business activities and disclose the environmental information to meet the requirements of stakeholders. This study investigates the internal and external factors of the company that affects the environmental information disclosure of listed companies on the Vietnam stock market as business sector, firm size, corporate manager perceptions, profitability, financial leverage, community pressure, pressures from stakeholders, government pressure influencing environmental information disclosure. Analytical data collected through the survey of 120 listed companies on the Ho Chi Minh City Stock Exchange (HOSE). By testing Cronbach's Alpha, exploratory factor analysis (EFA) and logistic regression analysis, the results of the study show that the level of environmental information disclosure of listed companies on the stock market in Vietnam depends heavily on government regulations, followed by the pressure from stakeholders, community pressure, views of business managers, companies size, business sector, and particularly profitability and financial leverage factors that have a negative relationship with environmental information disclosure.

• Journal of Korea Trade
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• 제25권4호
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• pp.17-36
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• 2021

Purpose - This study provides useful information to stakeholders by forecasting the tramp shipping market, which is a completely competitive market and has a huge fluctuation in freight rates due to low barriers to entry. Moreover, this study provides the most effective parameters for Baltic Dry Index (BDI) prediction and an optimal model by analyzing and comparing deep learning models such as the artificial neural network (ANN), recurrent neural network (RNN), and long short-term memory (LSTM). Design/methodology - This study uses various data models based on big data. The deep learning models considered are specialized for time series models. This study includes three perspectives to verify useful models in time series data by comparing prediction accuracy according to the selection of external variables and comparison between models. Findings - The BDI research reflecting the latest trends since 2015, using weekly data from 1995 to 2019 (25 years), is employed in this study. Additionally, we tried finding the best combination of BDI forecasts through the input of external factors such as supply, demand, raw materials, and economic aspects. Moreover, the combination of various unpredictable external variables and the fundamentals of supply and demand have sought to increase BDI prediction accuracy. Originality/value - Unlike previous studies, BDI forecasts reflect the latest stabilizing trends since 2015. Additionally, we look at the variation of the model's predictive accuracy according to the input of statistically validated variables. Moreover, we want to find the optimal model that minimizes the error value according to the parameter adjustment in the ANN model. Thus, this study helps future shipping stakeholders make decisions through BDI forecasts.

• 산업경영시스템학회지
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• 제46권1호
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• pp.1-14
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• 2023

This study is a leading case of empirical analysis of whether, when corporate stakeholders (government, investors, customers, managers, employees) put pressure on companies for ESG management, it affects the introduction and implementation of ESG activities (environmental, social, governance) and affects business performance. As for the research method, a sustainability report was published, and a web survey of Korea Research Inc. was conducted from May 10 to May 20, 2022 targeting ESG management managers of 192 companies, and analyzed through the PLS structural equation model. As a result of the study, it was found that the introduction and execution of ESG is closely influenced by the pressure from the government, investors, managers, and employees, and in particular, the internal pressure of current managers and executives and employees has a great impact on the introduction and implementation of environmental, social, and governance activities. In particular, although external pressure also has some influence, it is practical to suggest that strong internal pressure is necessary for continuous activities and performance. And, methodologically, the main activity indicators of the GRI Reporting Guidelines, which are the most representative ESG management indicators, were developed as a questionnaire, and reliability, validity, and model fit were secured through comparison with indicators of multiple systems and expert reviews. The limitations of this study are that more in-depth analysis by industry or size is possible when ESG management is mature and sufficient samples are secured, and complex ESG pressure factor modeling is possible when more diverse stakeholders are added.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.227-231
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• 2020

Recently, the importance of user experience (UX) has been rapidly increasing. Its utilization is emphasized for development of systems, products, and services. User experience is widely used across industries including services, products, processes, society, and culture. Therefore, if it is unsatisfactory, it is likely to have a direct negative impact on the corresponding system, product, or service. The failure to analyze user experience causes significant damage to the project, which may lead to its failure or redevelopment; it is hence necessary to prioritize the verification of UX in the earliest stages of development. The requirements development stage, which is a preceding stage, is an appropriate stage for the verification of user experience because the identification of user needs is completed and prototypes can be implemented. In this paper, we proposed a systematic requirements development stage; it adds user experience verification activities to the requirements development stage, using the Honeycomb model, which is a widely used tool for verifying the overall UX. User experience verification was added to the existing requirements development activities, which consisted of three steps: model definition and requirements placement, discussions between external and internal stakeholders, and review by internal stakeholders. By easily validating the user experience through this systematic requirements development stage, we expect to minimize the damage to the project due to the failure of the user experience analysis and increase the possibility of success.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.259-268
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• 2020

Several studies demonstrate that Corporate Social Responsibility (CSR) is becoming a dominant issue in both research and companies' management due to stakeholders' pressure. The identification of internal and external drivers and barriers is an initial stage of the corporate social responsibility implementation. The study aims to identify and analyze the drivers and barriers of CSR in Saudi Arabia's private organizations. For this purpose, primary data were collected using a survey questionnaire that was administered to a representative sample of companies from different sectors in Saudi Arabia. The results show that the main drivers behind the adoption of CSR among Saudi companies are improvement of corporate image, ethical/moral commitment, and to some extend customers' requirements and risk management. The findings of this study also suggest that there are important barriers hindering the adoption of corporate social responsibility. Among these, the lack of management commitment and the lack of investors' interests together with the lack of economic resources and lack of employees' competencies are the most prominent. The findings of this study not only contribute to a deeper understanding of CSR drivers and barriers, but could also encourage firms' managers and stakeholders to improve CSR activities for more effective implementation.

• 산경연구논집
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• 제12권10호
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• pp.19-30
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• 2021

Purpose: Dairy marketing cooperatives operate in the agricultural sector of the Ethiopian economy and are supposed to increase the efficiency of the marketing system. This paper aims to study factors affecting the participation of farm households' in dairy marketing cooperatives. Research design, data, and methodology: The research has focused on one primary question. What are the possible factors that affect farm households' participation in dairy marketing cooperatives? The survey questionnaire was developed and an interview was made using enumerators. A total of 1500 sample households were selected randomly using the method of sampling with probability proportionate to size. Descriptive and inferential statistical analysis (binary logit model) was used for analysis. Results: The study result revealed that among thirteen explanatory variables hypothesized to affect dairy producer farmers' participation in dairy marketing cooperatives; eleven were found to be statistically significant. From these findings, it is observed that members of the dairy cooperatives have significant advantage over nonmembers. Conclusions: Both internal and external intervention measures are suggested. Internally, the cooperatives' board of directors should design appropriate strategies to attract nonmembers to improve future participation, and, externally, government, NGOs, and other stakeholders need to emphasize methods that increase nonmembers' participation in dairy marketing cooperatives.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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• pp.19-27
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• 2020

This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.

• 동아시아경상학회지
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• 제8권1호
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• pp.41-55
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• 2020

Purpose - This paper tries to analyze the factors affecting the utilization of electronic trade of small and medium enterprises and examine how these factors affect the performance of small and medium enterprises. In addition, the leading factors affecting the level of e-trade utilization of small businesses were analyzed by dividing them into external environmental factors affecting the external business and internal resources of the companies themselves Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study investigates the antecedents of the utilization level of e-Trade such as information exchange, innovation orientation, absorptive capacity and trust by hierarchical regression analysis. Results - The results show that innovation orientation was shown to have a positive effect on e-trade utilization and absorptive capacity has a positive effect on e-trade utilization. Also, information exchange with stakeholders has a positive impact on e-trade utilization. Conclusions - Internal and external factors of companies have a positive effect on the utilization of e-trade. It also showed that the increased utilization of electronic trade had a positive effect on trade performance. Thus, the findings provide policy-makers with implications of the importance of activating e-trade, and furthermore, significant implications for exporter performance.

• 한국항해항만학회지
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• 제48권1호
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• pp.27-33
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• 2024

코로나 팬데믹 이후 컨테이너 터미널 내 혼잡도 증가에 따라 반출입 차량 작업 대기 및 체류시간이 급증하여 반출입 작업 비효율이 극심한 실정이다. 이에 항만 당국은 반출입예약시스템(Vehicle Booking System; VBS)을 구축하여 시범운영 중에 있으나 이해관계자 간 정보공유 문제 및 컨테이너 운송 주체의 미온적 참여 등으로 인해 개선효과가 뚜렷하지 않다. 따라서 본 연구에서는 반출입 차량의 작업 대기 및 체류시간 문제의 해결을 위한 기초자료로써, 딥러닝 기반의 반출입 차량 체류시간 예측 모형을 제시하였다. 실제 컨테이너 터미널의 반출입 운영 데이터를 통해 제시한 예측 모형을 실험하고 실제 데이터와 비교하여 예측 정확도를 검증한 결과 제시한 예측 모형이 높은 예측 정확도를 보이는 것을 확인하였다.