Amid the growing importance and urgency of smartening in the Korean maritime logistics industry, this study conducted a survey on the status of Korea's maritime trade technology. Korea is on par with developed countries internationally, but in order to lead the digitalization of the future era, additional developments should be explored by reviewing current conditions. In particular, it is necessary to draw policy implications for smart shipping in Korea, which is a three-sided sea. This study derived technical implications by comparing the number of patent applications and the applicant for domestic and foreign patents related to the major technologies of the Fourth Industrial Revolution. In addition, it was intended to investigate and present the status of Korea's maritime trade technology through the analysis of smart shipping-related emotions and the analysis of positive and negative scores of companies related to sentiment analysis.

This study aims to analyze the foreign asset leverage effect on Korean oil & gas companies' foreign profits and to maintain the appropriate foreign asset volume for reducing exchange risk. For a long time, large Korean companies, including oil companies, overheld foreign currency liabilities. For this reason, most large companies have been burdened to hedge exchange risk and this excess limit holding deteriorated total profit and reduced foreign currency asset management efficiency. Our paper proceeds in presenting a three-stage analysis considering diversified exchange risk factors through estimation on transformation of foreign transactions a/c including annual trends of foreign asset and industry specifics. We also supplement incomplete the estimation method through a practical hedging case investigation. Our research parts are differentiated on the analyzing four periods considering period-specifics The FER value of the oil firms ranged from -0.3 to +2.3 over the entire period. The results of the FER Value are volatile and irregular; those results do not represent the industry standard comparative index. The Korean oil firms are over the credit limit without accurate prediction and finance high interest rate funds from foreign-owned banks on the basis on a biased relationship. Since the IMF crisis, liabilities of global firms have decreased. Above all, oil firms need to finance a minimum limit without opportunity losses on the demand forecast and prepare for uncertainty in the market. To reduce exchange risk from the over-the-limit position, we must consider factors that affect the corporate exchange risk on the entire business process, including the contract phase.

The purpose of this study is as follows. First we investigate the relationship between contact with foreign managers (CFM) of host country nationals (HCNs) working at MNC subsidiaries and their organizational identification with MNC (OIM). Second we examine the moderating effect of MNC subsidiary localization (MSL) on the relationship between CFM and OIM. For this purpose, we set hypotheses on the relationship among CFM, OIM, and MSL. To verify theses hypotheses, we conducted hierarchical regression analysis on the data from 374 HCNs in 56 MNC subsidiaries. The results of this study are as follows: Frist, CFM positively affects OIM. Second, there is a significant moderating effect of MSL on the relationship between CFM and OIM. Our findings have critical implications in that a subsidiary-level variable that has a significant impact on organizational identification with MNC is presented and in that specific managerial guidelines for subsidiaries can be drawn.

Despite the growing importance of the logistics industry, it has been socially recognized as a 3D job and is perceived as a field of lower professional identity since the workers themselves think that they are engaged in a less important job. According to the related researches, it shows that professional identity affects the quality of service to customers, and applying it to the workers who are engaged in the logistics industry should be a meaningful subject of research. Therefore, this study intends to look into the impact of professional identity by managers in logistics centers on their service orientation and job engagement. To this end, this study surveyed managers in logistics centers across the country and conducted exploratory factor analysis, confirmatory factor analysis, and path analysis through structural equation models. The results of this study are summarized as follows. First, among the sub-factors of professional identity, recognition of professionalism did not have a significant effect on service orientation and job engagement, while acquisition recognition and range cognition had significant effects on it. Second, service orientation had a significant effect on job engagement. It believes that this study suggested implications for educational institutions and logistics companies that develop human resources of logistics in the aspect of that it presented the importance of developing human resources of logistics as well as the directivity to where the working environment such as the autonomy in their works and the extension of their authority should take their way.

There is increasing awareness in the international alliance literature that the firm performance effects of the alliance portfolio go beyond the effects of the individual alliances. I enrich this nascent perspective by developing a alliance portfolio composition framework based on the alliance portfolio dimensions - underpinned by the simultaneity of quantitative and qualitative factors in international portfolio - that enhances firms' financial performance. This paper assesses the impact on firm performance of composing the alliance dimension within a firm's international alliance portfolio. In an unbalanced panel data analysis with fixed effects of the performance of 502 firms operating in the Korean manufacturing industry during 2011-2017, I test whether firm's three dimension of international alliance portfolio affect on firm financial performance. I find that the intensity of international alliance have significantly positive effect on the firm performance. And following the moderating analysis of three portfolio dimension-functional, relational, and attribute, all of each three international alliance portfolio has positive moderating effects on the relationship between the alliance intensity and firm performance. These results indicate that firms should consider and form simultaneous approaches to exploit the international alliance based on the alliance portfolio dimensions with intensity of alliance portfolio.

This study analyzes trade communication methods by comparing and analyzing payment methods and procedures of L/C and BPO transactions. As a result of the study, BPO transaction is validated based on the combination results of the confirmed baseline and data set unlike the L/C transaction. Therefore, BPO is superior to L/C transaction in that there is no confrontation between the parties over the matching results. And it can proceed with certain transaction that is paid first and proved later. In addition, the process of accepting data mismatches results in a confirmation of the payment commitment considering the intention of the importer. This allows flexible disposition of documents in response to the post payment situation as long as the documents are held by the exporter, which can be said to be superior to the L/C transaction.

Using a trade policy, government can shift profits from foreign firms to domestic firms. This paper will reexamine how asymmetric information can affect the equivalence of tariff and quota in a duopoly, where one domestic firm competes with one foreign firm. It can happen that the domestic firm has informational advantage against the government. Within this framework, the domestic firm has private information about own marginal cost as well as the foreign firm's. The domestic firm would exploit the advantage to draw a favorable policy from the government. When the government is misled, social welfare would decline. This paper will guide how the government can extract information from the domestic firm by offering a menu of tariff or quota. Previous studies showed that quota demands information more than tariff. With the principle of revealed information, the domestic firm chooses tariff (quota) if the marginal cost of foreign firm is low (high). The quota level will be high (low) if the marginal cost of domestic firm is high (low). To prevent misrepresentation, the domestic firm should be charged when quota is implemented. When the quota level is low, the domestic firm is charged additionally. This paper can contribute to the literature of trade policy and information.

The ship recycling or scrap is a phenomenon in the process of vessels life cycle has ended in the shipping industry. Scrap are greatly affected by freight rates due to ship demands. Not only that, environmental regulation and economic scale vessel demand are processes that must exist in the shipping industry as they obtain management for existing vessels. In the past, shipbreaking yard had tried to work without protection for poverty, without poor working conditions and facilities to prevent the emission of harmful substances. However, the issue of environmental pollution has been raised the Basel and Hong Kong Convention have been adopted, and a new replacement of the ship scrap that induces serious pollution is required. In this study, 165 countries were analyzed to confirm the importance of determining the ship solution. As a result of the analysis, it was found that the Environmental Performance Index, which is a measure of environmental regulation, is the most influential factor of ship scrapped volume. The determinant of whether lower labor cost can be secured is more correlated with population than GDP per capita. The implications of the results of the regression analysis mean that if environmental regulations for ship scrap of the future are strengthened, the status of Bangladesh and Pakistan, which currently account for half of the world's ship recycling, may change.

The scale of global FDI has been decreasing since 2016 due to the ongoing US-China trade dispute, the strengthening of FDI inflow screening regulations with concern over strategic technology leaks, and the spread of reshoring trends due to the reinforcement of national preferences. Eventually, the competition to attract FDI between countries is expected to become more intense. Therefore, in order to attract high-quality FDI for Korea that will contribute to the development of the national economy, it is pressing to evaluate and improve the domestic FDI attraction environment. This study aims to analyze which areas of Korea's economic and non-economic environments need improvement for gaining advantage amid the fierce competition to attract FDI between countries, by the relative comparison between Korea and the U.S., and based on the ranking indicated in key FDI attractiveness indices. As a result, improvement is needed in the following areas. First, according to IMD's "World Competitiveness Ranking 2020," Korea was inferior to the US in terms of business efficiency, productivity, finance and business legislation in terms of government efficiency. Second, according to INSEAD's "Global Talent Competitiveness Index 2020," Korea was inferior to the US in terms of internal openness, external openness, employability, lifelong learning, access to growth opportunity, and business and labor landscapes. Third, according to WEF's "Global Competitiveness Index 2019", Korea was inferior to the US in terms of product market, labor market, business dynamism and workforce skills.

The purpose of this study is to empirically analyze the effect of cultural distance between partner firms on international joint venture performance, focusing on the moderating effects of the conflict resolution techniques and the competitive relationship between partner firms. We tested hypotheses based on joint venture firms that were surveyed which formed by equity investment between Korean and foreign firms in the manufacturing industry. The empirical analysis results of this study are as follows. First, in international joint ventures, the cultural distance between partner firms was found to have a negative effect on the international joint venture performance, and the higher the cultural distance, the lower the joint venture performance. Second, it was found that constructive conflict resolution techniques weaken the negative impact of the cultural distance between partner firms in international joint ventures on the performance of international joint ventures. Third, competitive relationship between international joint venture partners showed no moderating effect on the relationship between cultural distance and international joint venture performance.

Based on the existing OFDI (outward foreign direct investment) literature, this study endeavored to verify how the corruption of host countries affects the partner strategy of EMNEs (emerging multinational enterprises) when EMNEs enter global markets through joint ventures. Following the existing literature, this study classified corruption and partner strategies into two categories, respectively. First, the corruption of host country was divided into grand corruption and petty corruption. Second, EMNEs' joint venture partner strategy was divided into home country partner joint venture and host country (i.e., local) partner joint venture. Our hypothesis suggested that the greater the host country's grand corruption, the more EMNEs would choose the host country partner, while the strong petty corruption leads to the preference of home country partner in host country. The hypotheses were verified with a sample of 890 foreign direct investment cases of Chinese multinational companies from 2005 to 2015. As a result of the study, regardless of the degree of corruption, it was found that they prefer joint ventures with home country partners when EMNEs enter the global market through joint ventures.

This study investigates the structural relationship among 11 latent factors that potentially influence the intention of Chinese consumers to purchase electrical vehicles (EV) by applying the MGB and TAM models, both based on well-established socio-psychological theories. For this research, we conducted an online survey using a Chinese platform collecting 287 valid responses to our questionnaire. The analysis reveals that 10 out of the 12 hypotheses were adopted while 2 were rejected. Specifically, it was found that EC (environment concern) and PEV (perceived environment value) had a positive effect on the PEU (perceived environmental usefulness) of electric vehicles. In addition, ATT (attitude), PAE (positive anticipated emotion), and PBC (perceived behavior control) were confirmed to have a significant positive relationship with DES (desire) for EV purchase. At the same time, the results of the analysis show a statistically significant relationship between PEU, ATT as well as PI (purchase intention). This study further analyzed and presented the results of the moderating effects of gender, based on the adopted relationship hypotheses. This study is novel in that it is the first attempt in the literature to apply both the MGB model and the TAM simultaneously to predict EV purchasing behavior.

In recent year, US government requires local investment ,unlike in the past, when import restrictions and tariff were imposed. In this situation, many companies are considering new investment in the US and entering the local market. However, research on the optimal investment plan along with the case analysis on trade regulation is extremely limited and more research needs to be conducted. Accordingly, this study aims to suggest the implications and countermeasure of the SCM and logistical perspective by studying the optimal measures for the new investment of each company due to trade regulation. As a research method, the gravity location model, Mixed Integer Linear Programming Model were used to select the optimal automobile manufacturing factory considering each state's population. This study will be implication of SCM and logistics perspective not only for companies considering new investment in the US but also for the government to conduct trade negotiations. In the future, it is expected that the US trade pressure will increase and affect Korea in many ways. Therefore, in order to cope with such difficult situation in a timely manner, continuous research considering various possibilities is needed in the future.

This study aims to establish a research model to see how cultural differences affect negotiation outcomes. People from different countries tend to communicate in slightly different ways. So Recognizing the cultural differences in global businesses is an important preparation process and strategy. If such preparations are not made before doing business with companies in other cultures, many conflicts could arise in the negotiation process and even the negotiations could break down. Therefore, it is important to recognize cultural differences and establish appropriate strategies in international negotiations, and it is necessary to take a look at the factors that affect them one by one. For the purpose of this study, Cultural differences based on Edward Hall's context theory and Personal characteristics were set as moderator variables. and The EU countries(low context cultures) and the Korea(high context cultures) were sampled to study the effects of Negotiation strategy(Problem-Solving Approach).

Despite the numerous advantages that CSR engagement can potentially offer, top managers may not always be willing to invest in CSR as they are expected to meet expectations of external constituents in the short run. Given that financial analysts' expectations are important short-term performance targets that top managers are motivated to meet, this study examines how performance relative to earnings forecasts issued by analysts affect top managers' decisions about CSR engagement. Using a sample of publicly listed U.S. firms from 2000 to 2016, we find that top managers are more likely to reduce discretionary expenditure on CSR activities as performance falls below analyst forecasts to improve financial performance in the following fiscal year. As performance exceeds analyst forecasts, top managers are motivated to reduce CSR investments in order to meet higher expectations of analysts. As financial analysts closely monitor the firms that they follow in order to publish investment advice to market participants, we find that analyst coverage weakens top managers' incentive to reduce CSR engagement. Overall, this research sheds meaningful insight into the contextual background in which the top managers are situated in when they make decisions on CSR engagement.

With the advent of the era of the 4th Industrial Revolution, various support policies and programs are being introduced as the promotion of startups related to the 4th industry is promoted as a core policy of the government. Based on major technologies such as Artificial Intelligence(AI), Big Data, Internet of Things(IoT), Blockchain, and Automation leading the 4th industrial revolution, logistics and distribution companies are expanding the range of markets and services provided. The purpose of this study is to examine the current status of startups in the logistics field based on major technologies of the 4th Industrial Revolution, which are rapidly growing at home and abroad, and suggest implications for revitalizing logistics startups through a policy demand survey. As a result of the study, in order to foster domestic logistics startups, we propose policy support for integration of logistics startups, integrated management of information, provision of physical space, network platform, and practical education and mentoring.

This paper analyzes the feasibility of using machine learning methods to forecast the employment. The machine learning methods, such as decision tree, artificial neural network, and ensemble models such as random forest and gradient boosting regression tree were used to forecast the employment in Busan regional economy. The following were the main findings of the comparison of their predictive abilities. First, the forecasting power of machine learning methods can predict the employment well. Second, the forecasting values for the employment by decision tree models appeared somewhat differently according to the depth of decision trees. Third, the predictive power of artificial neural network model, however, does not show the high predictive power. Fourth, the ensemble models such as random forest and gradient boosting regression tree model show the higher predictive power. Thus, since the machine learning method can accurately predict the employment, we need to improve the accuracy of forecasting employment with the use of machine learning methods.

This study analyzes the various roles of social value in the consumption value model in China's mobile e-commerce environment. This is because customers in the Confucian culture area are highly influenced by others in their consumption behavior. However, there has been no consideration of these opinions in the consumption value model. In particular, it was analyzed whether social value has a moderated mediation effects in the path of economic value on customer loyalty. As a result of analyzing 228 pieces of data collected in China, it was found that the economic value is increasing customer loyalty through the entrance of shopping malls, and this indirect effect is affected by social value, and there was a moderated mediation effect. This study is theoretically meaningful in that it is newly elucidating the role of social value in the consumption value model.

With the advent of the 4th Industrial Revolution, there is a rising interest in the impact of these changes on Korea's trade. While the previous studies related to the 4th Industrial Revolution are very limited in the field of trade research, this study attempts an empirical analysis regarding the effect of the use of the 4th Industrial Revolution technology on the performance of exporters, based on the data of the Survey of Business Activities during 2017-2019 by the Korean government statistical office. Through the empirical analysis in combination with the propensity score matching (PSM) and the difference-in-difference (DID) analysis, this research confirms that the use of the 4th Industrial Revolution technology has a positive effect on the export performance of Korean exporters.

Several previous studies have not been able to derive consistent research results on the impact of the level of corruption in local countries on foreign direct investment. Therefore, in order to suggest that this study should consider the relative level of corruption rather than the level of absolute corruption, 1) first, examine the moderating effect of the absolute level of corruption on the determinants of foreign direct investment, and 2) examine the moderating effect of the relative corruption on the determinants of foreign direct investment. This study collected 9-year data from 2012 to 2020 based on the Corruption Perceptions Index (CPI) published by Transparency International. A total of 549 observations (country-year) from 82 countries were sampled and a generalized estimation equation (GEE) analysis was performed. As a result of empirical analysis, it was found that the moderating effect of absolute corruption did not appear, whereas the moderating effect of relative corruption reversed the negative (-) relationship between cultural distance and foreign direct investment into a positive (+) relationship. Based on these empirical results, this study suggest that Korean companies need to consider the relative level of corruption with Korea instead of the absolute level of corruption of the investee when conducting foreign direct investment.

The purpose of this study is to analyze the factors affecting innovation activities related to the introduction of the 4th Industrial Revolution technology for Korean firms faced to the severe global trade and competition environments. This paper conducted an empirical analysis using the 'The Survey of Business Activities' distributed by the Statistics Korea in 2019. According to the results of the analysis, it was found that the firm size, labor cost, R&D, and intellectual property rights had a significant influence on the firms' adoption of the 4th industrial revolution technology. It was also found that the dummy variables such as strategic alliance between companies, review of entry into a new business, transfer of main business operations, and holding of subsidiaries had statistically significant effects on innovation activities. In addition, this paper showed that the firm characteristics had impacts on innovation activities of firms by the 4th industrial revolution technology type. In order for Korean firms to adapt to the challenges by the 4th Industrial Revolution, it is important to provide policy support and an environment in line with the characteristics of the firms.

This paper analyzed 110 papers related to the field of trade settlement published in the Korea Trade Review for 40 years from 1980 to 2019. This study tried to provide an insight on research topics and to suggest future research directions. The papers were analyzed according to the detailed topics of trade settlement. Research trends were identified every ten years by investigating the most frequently used titles and keywords. The analysis found that the direction of the research changed in line with the changes in trade settlement practices. Future research lies in the field of electronicization of traditional settlement methods, search for alternative settlement methods, individual international microtransaction and trade fraud.