Determinants of enterprise risk management adoption: an empirical analysis of Malaysian Public Listed firms / Anny Florance Jokiri

Jokiri, Anny Florance (2019) Determinants of enterprise risk management adoption: an empirical analysis of Malaysian Public Listed firms / Anny Florance Jokiri. [Student Project] (Submitted)

Abstract

This paper investigates the relationships between enterprise risk management adoption and the influential factor that consists of big four auditors, firm size and financial leverage. The enterprise risk management is measured by dummy variable 0 and 1. The investigations consider samples that consists of 30 listed firm in Bursa Malaysia with period of study between 2012 until 2018. Therefore, this investigation is made using the data that collected and examine through a panel data. Throughout this studies the result for big four auditors found to be insignificant with ERM adoption and negative correlation. For firm size and financial leverage, they are found to be significant with ERM adoption but firm size has negative correlation with ERM adoption contradict with financial leverage which have positive correlation with ERM adoption.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Jokiri, Anny Florance
2017690012
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Jomitin, Betsy
betsy014@uitm.edu.my
Contributor
Darussamin, Amirrul Muhminin
amirrul671@uitm.edu.my
Subjects: H Social Sciences > HD Industries. Land use. Labor > Risk management. Risk in industry. Operational risk
Divisions: Universiti Teknologi MARA, Sabah > Kota Kinabalu Campus > Faculty of Business and Management
Programme: Bachelor of Business Administration (Hons) Finance
Keywords: Enterprise risk management adoption; Financial leverage; Firm size
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/112544
Edit Item
Edit Item

Download

[thumbnail of 112544.pdf] Text
112544.pdf

Download (147kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
Processing

ID Number

112544

Indexing

Statistic

Statistic details