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Considering the proliferation of free trade agreements (FTAs) worldwide, this study develops and empirically tests a conceptual model to explain the impact of CEO attitudes on the intention of exporting firms to utilize FTA preferential tariffs. Based on a survey of 221 exporting small and medium-sized enterprises in South Korea, this study employed partial least squares structural equation modelling to test the hypotheses. Results show that perceived usefulness and organizational learning partially mediate the relationship between CEO attitudes and intention to use FTA schemes. This study deepens our understanding on the firm’s internal process for utilizing FTA preferential tariffs.

The purpose of this paper is to simulate the effects of the Regional Comprehensive Economic Partnership (RCEP) on trade and income, with a particular interest in the effect on China and Korea.

This paper adopts a Computable General Equilibrium (CGE) model developed by Li et al. (2017) to simulate the effect of RCEP. The CGE model is grounded in the firm heterogeneity theory. Within this framework, the feature of dynamic movements of firms allows the CGE model to capture the extensive margin of trade increase. Aside from that, the CGE model separates foreign direct investment (FDI) from domestic investment, which helps to explain the effect of the removal of FDI barriers.

Results show that RCEP will increase trade of China by 1.5 percent. The income of China will increase by 2.5 percent. The trade increase of Korea will be $8bn, and its income will increase by 0.6 percent. In terms of welfare, China will gain $214bn and Korea will gain $23~35bn, taking 2~3 percent of Korea’s GDP. Also, the reduction of behind-the-border barriers presents very significant effects.

The main contribution of this paper is to quantitatively assess the potential effects of RCEP on trade and income. The positive findings would propel RCEP parties, especially China and Korea, to reach an agreement as soon as possible.

This study aims to proposed that blockchain helps the organization improve supply chain (SC) performance by improving integration, agility and security through real-time information sharing, end-to-end visibility, transparency, data management, immutability, irrevocable information and cyber-security platforms.

This study has made an initial effort toward proposing a framework that shows the problems and challenges for the O&G SC under its segments (upstream, midstream and downstream) and provides the interlink among blockchain properties for SCM problems. SC managers were selected for survey questionnaires from the Pakistan O&G industries.

This study analyzes the impact of blockchain-enabled SC on firm performance with an understanding of the SC robustness capabilities as a mediator. The result revealed that the SC manager believes that the blockchain-enabled SC has a positive and significant on firm performance and robustness capabilities.

Blockchain technology is reflected as high-tech to support the firm process, responses and methods. The technology helps eliminate bottlenecks, avoid uncertainties and improve decision-making, leading to improved SC functions. This study guides managers about the potential problems of existing SC and how blockchain solves SC problems more effectively.

The oil and gas (O&G) sectors are neglected by researchers, and there are limited studies on O&G supply chain management (SCM). Additionally, no empirical evidence suggests implementing blockchain for O&G as a solution for potential problems. Furthermore, present the roadmap to other industries those having complex SC networks for the implication of blockchain to improve the SC performance.