enterprise risk
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2022 ◽  
Vol 34 (3) ◽  
pp. 0-0

The study aims to establish a platform-based enterprise credit supervision mechanism, and combined with big data, accurately evaluate the credit assets of enterprises under the influence of social stability risk, and improve the ability of enterprises to deal with risks. Using descriptive statistical methods, the study shows that most local enterprises exist in the form of micro loans, which promotes the development of local economy to a certain extent, but it is a vicious cycle of economic development; The overall prediction accuracy of the single enterprise risk assessment model under the influence of social stability risk is 65%. Compared with the single algorithm, the prediction accuracy of the integrated algorithm model is significantly improved, and the prediction accuracy can reach 83.5%, the standard deviation of data prediction is small, and the stability of the model is high.


2022 ◽  
Vol 6 (1) ◽  
pp. 26-42
Author(s):  
Disterius Ondieki Nyandika ◽  
◽  
Paul Machoka ◽  
Michael Ngala ◽  
◽  
...  

In today’s dynamic and competitive business environment, organizations are adopting the enterprise risk management framework to address the inadequacies in risk management in entities. Operating in today’s dynamic and competitive business environment organizations are faced with ever evolving risks as they implement their strategic objectives in order to create value. This study examined the intervening effect of corporate strategy on the relationship between transformational leadership and enterprise risk management adoption. This research adopted a positivist research philosophy and cross-sectional survey design approach. The target population comprised all the Commercial State Corporations in Kenya listed in the register of State Corporations Advisory Committee (SCAC) as at January 2021. The unit of analysis was the 52 Commercial State Corporations and unit of observation was top management of each entity. The study used primary data which was collected through structured questionnaires. The Statistical Package for Social Sciences (SPSS version 22) was used in regression modeling for prediction and causal inferences between study variables. The study findings indicated a partial mediation effect on the mediating role of corporate strategy on the relationship between transformational leadership and ERM adoption. The objective was achieved. The study recommends that the commercial state corporations should anchor the ERM adoption activities and other management programmes in the corporate strategic plan for effective execution. In addition, the corporate strategic plan should be cascaded to stakeholders to enhance ownership and design policy to ensure the implementation of the corporate strategic plan is effectively monitored. Keywords: Corporate Strategy, Transformational Leadership, Enterprise Risk Management & Commercial State Corporations


2022 ◽  
Vol 6 (1) ◽  
pp. 14-30
Author(s):  
Disterius Ondieki Nyandika ◽  
◽  
Paul Machoka ◽  
Michael Ngala ◽  
◽  
...  

The adoption of Enterprise Risk Management (ERM) by State Corporations in Kenya is a mandatory requirement and yet, the information on levels of adoption amongst Commercial State Corporations, most of which continue to experience poor performance due to weak governance is scanty. The objective of the study was to establish the relationship between transformational leadership and enterprise risk management adoption. This study adopted a positivist research philosophy and cross-sectional survey design approach. The target population comprised all the Commercial State Corporations in Kenya listed in the register of State Corporations Advisory Committee (SCAC) as at January 2021. The unit of analysis was the 52 Commercial State Corporations and unit of observation was top management of each entity. The researcher applied purposive sampling to select top management and surveyed the total population of top management that derived a sample size of 364 participants. The study used primary data which was collected through structured questionnaires. The descriptive and inferential statistics was employed in the analysis. The Statistical Package for Social Sciences (SPSS version 22) was used in regression modeling for prediction and causal inferences between study variables. The study findings indicated that Transformational Leadership has a significant relationship with ERM adoption. The study recommends that commercial state corporations embrace transformational leadership in order to enhance ERM adoption. Keywords: Transformational Leadership, Enterprise Risk Management & Commercial State Corporations


2022 ◽  
Vol 4 (1) ◽  
pp. 16-22
Author(s):  
Franciskus Antonius Alijoyo

Enterprise risk management (ERM) is significant in running a company. ISO 31000 is one of the ERM types that are familiar. However, there are still pros and cons of ISO 31000. Thus, this study aimed to find out the responses of the Indonesian fintech lending companies managements in implementing ISO 31000. Specifically, this study tried to identify the problems in implementing ISO 31000:2018 to be implemented as ERM. Besides, it also discussed the benefits of the ISO 31000:2018 implementation from the companies' management's perspectives. The data were collected through questionnaires and interviews. The questionnaire results were quantified and interpreted in percentage, while the interview results were analyzed qualitatively using the interactive data analysis method. The study results showed that most of the companies' management believed that they had no significant problems implementing ISO 31000:2018. In addition, they felt that implementing ISO 31000:2018 as ERM gave many benefits in running the companies. The study's findings were discussed by connecting them with the current theories and empirical reviews. However, since the study was done qualitatively, a further study that involves quantitative study to measure the effectiveness of ISO 31000 empirically is needed to support the results of this study.


2022 ◽  
Author(s):  
Kannan Subramanian R ◽  
Dr. Sudheesh Kumar Kattumannil
Keyword(s):  

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