2021
DOI: 10.35741/issn.0258-2724.56.2.13
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The Influence of Enterprise Risk Management Implementation and Internal Audit Quality on Universities’ Performance in Indonesia

Abstract: Universities obtain a lot of pressure from stakeholders to manage risk to achieve better performance. The enterprise risk management implementation and internal audit quality conditions are not optimal to help the university reach the performance target. This study aims to examine the influence of the enterprise risk management implementation and internal audit quality toward the performance of State-Owned Universities-Legal Entity and State-Owned Universities-Public Service Agency in Indonesia. Researchers us… Show more

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Cited by 10 publications
(19 citation statements)
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“…Therefore, human resources, processes, and procedures, as well as supervision or internal control, are all critical to consider while creating an effective Rural Bank. All three must be accomplished to meet the company's objectives (Yudianto et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, human resources, processes, and procedures, as well as supervision or internal control, are all critical to consider while creating an effective Rural Bank. All three must be accomplished to meet the company's objectives (Yudianto et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The value objectives of power grid enterprises in the new era mainly include economic benefits, social benefits, environmental benefits, etc. As a functional department to increase enterprise value and promote enterprises to achieve development goals, internal audit needs to consider diversified objectives as a whole, and always pay attention to the effectiveness, economy and compliance of enterprise operation in work practice [9][10][11] . The internal audit of power grid enterprises also has a strong value-added attribute in the company's operation and management.…”
Section: Internal Audit Value-added Attributementioning
confidence: 99%
“…However, it is not tested by specific data, but it is a good idea to introduce qualitative indicators. Yudo et al have established the financial risk judgment index system for oil companies, and based on this, they have established the financial risk early warning model of fuzzy neural network [13]. Li et al used the data processed by GM(1 : 1) model of function transformation as the input value of BPNN to make an early warning of financial risks [14].…”
Section: Risk Early Warning Researchmentioning
confidence: 99%