Role of artificial intelligence and enterprise risk management to promote corporate entrepreneurship and business performance: evidence from korean banking sector

Abstract

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.

Intelligent Financial Data Analysis and Decision Management Based on Edge Computing

“…After 10 adjustments, all functions are D-level, that is, the state without defects. (2) The abnormal rate of system response time is 0%. The average response time of F1, F2, F3, and F4 functions is in line with expectations.…”

“…Adopt a business intelligence method to support data analysis of a company system [1]. Artificial intelligence, information system risk management, and enterprise entre-preneurship contribute to the influence of decision management [2]. Based on the FCM clustering algorithm, a fuzzy decision model is established to intelligently evaluate and analyze the financial performance of enterprises [3].…”

“…Strong creativity: it should conform to the characteristics of the enterprise itself, and its style should be distinct and unique(2) Strong maintainability: the background maintenance program interface of the system…”

Innovation and Entrepreneurship Education (IAEE) Driven by Artificial Intelligence (AI)

“…Clustering is generally used to find unknown classifications in the data set. In innovation and entrepreneurship teaching, students are usually grouped based on teaching data [4].…”

Interrelatedness between Organizational Culture and Human Resource Management in the Context of Corporate Entrepreneurship

“…Similar thing goes for the handling of human resources. Human resource management has a huge effect on corporate entrepreneurship (Castrogiovanni, Urbano, & Loras, 2021;Salamzadeh, Tajpour, & Hosseini, 2019) since it is the key vehicle that encourages activities and promotes corporate entrepreneurship (Burger & Blažková, 2020;Lee, 2020).…”