Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hyung Jong, Na"'
Publikováno v:
IEEE Access, Vol 12, Pp 139097-139112 (2024)
This paper aims to find that predictive performance is better when earning management predictions using deep learning technology, including litigation case information filed with companies. Unlike previous accounting forensics studies, this study des
Externí odkaz:
https://doaj.org/article/cf5f27d0d88b457c9420a8edc03d5e4d
Publikováno v:
Managerial Auditing Journal.
Purpose The purpose of this study is to examine the relationship between explanatory language, audit fees and audit hours to demonstrate that auditors use explanatory language in audit reports to explain perceived audit risk. Design/methodology/appro
Publikováno v:
Regional Industry Review. 45:205-229
Publikováno v:
Sustainability
Volume 15
Issue 5
Pages: 4346
Volume 15
Issue 5
Pages: 4346
This study aims to provide research results through empirical analysis on how customers’ reactions on social media affect the present and future value of a company. This research selected Korean KOSPI-listed companies that actually own and operate
Publikováno v:
Journal of Distribution and Logistics. 8:109-130
Autor:
Hyung Jong Na
Publikováno v:
Regional Industry Review. 44:53-74
Publikováno v:
Journal of Taxation and Accounting. 21:127-159
Publikováno v:
Journal of Taxation and Accounting. 21:89-107
Publikováno v:
Sustainability
Volume 13
Issue 22
Sustainability, Vol 13, Iss 12665, p 12665 (2021)
Volume 13
Issue 22
Sustainability, Vol 13, Iss 12665, p 12665 (2021)
This paper investigates how tax benefits for companies affect future firm value and current corporate performance. In addition, this paper also examines the relationship between tax benefits and future firm value for each major industry. The findings
Publikováno v:
Sustainability; Volume 14; Issue 22; Pages: 15285
This research examines the association between CEO messages and current and future corporate value on the websites of fashion companies. The research methods of this paper are as follows: First, we extract the fashion firm samples among companies lis