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The current study aims to investigate the impact of energy efficiency (EE), green intellectual capital (GIC) and environmental management accounting system on environmental performance and competitive advance in Indonesia manufacturing industry. In doing so, we utilized the sophisticated methodology of partial least squares structural equation modeling (PLS-SEM) to identify the potential association among the variables of interest. Even after the growing consciousness for environmental management, there exist some companies that consider the acceptance of environmental trend as an obstacle to their growth and performance. The results confirm that all selected variables have a positive and significant impact on environmental performance and competitive advantage in the manufacturing industry in Indonesia. Moreover, the outcomes of the PLS-SEM confirm that environmental performance and competitive advantage have positively and expressively impacted by green intellectual, EE and environmental accounting system. In general, the results of PLS confirm that the three factors, i.e., GIC, EE, and environmental accounting management system are the positive and significant contributor to enhance the environmental performance and competitive advantage of the firm in Indonesia manufacturing industry.

Korean banking industry has achieved significant growth in financial market, however, these banks are lacking with entrepreneurship activities due to low information system risk management. Objective of this study is to examine the effect of artificial intelligence, information system risk management and corporate entrepreneurship on business performance of Korean banks. The current study introduced artificial intelligence as one of the elements to boost risk management activities, corporate entrepreneurship and business performance. This objective was achieved through a research survey among Korean banks. Questionnaires were distributed among the employees of banks by using simple random sampling. Partial Least Square (PLS)-Structural Equation Modeling (SEM) was used for data analysis. Results of the study revealed that artificial intelligence has key role to influence information system risk management. It has positive role to enhance information system risk management practices. Information system risk management practices has vital importance to promote corporate entrepreneurship which increases the business performance of banks. This study is important for Korean banks to make various strategies for risk management, corporate entrepreneurship and business performance.

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