Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nida Aman"'
Publikováno v:
NUML International Journal of Business & Management, Vol 17, Iss 2 (2022)
Financial distress is one of the leading reasons for corporate default, foreclosure, and subsequent bankruptcy. Traditionally accounting information-based models have been used to identify the financially distressed firms. Inaccurate identification r
Externí odkaz:
https://doaj.org/article/3958882428a94b33b267137bf4c9a015
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Corporate social responsibility (CSR) is ever-evolving concept and gaining significance in the business world. This research proposes a research model that elucidates the mechanism by which Corporate social responsibility (CSR), ethical leadership, a
Externí odkaz:
https://doaj.org/article/4139bbd50011464a86bc893f898574f2
Autor:
Hassan Raza, Muhammad Anees Khan, M. S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Kumail Abbas
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Due to globalization, environment, social, and governance (ESG) issues have gained importance over the last few decades. ESG is a worldwide issue, which clarifies that organizations throughout the world are lacking in contribution to the environment,
Externí odkaz:
https://doaj.org/article/078e10476d564a1c9097919a9709a2ba
Autor:
Muhammad Anees Khan, M. S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Sakshi Malik, Syeda Faiza Urooj, Tanveer Taj
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Although strong recommendations and steps have been developed and taken to adopt the latest technological trend through corporate governance reforms for improving the economic development, however, the trend toward adopting the latest technology has
Externí odkaz:
https://doaj.org/article/02ffd8fc7f584e869fda5d0cf5650e9b
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
The purpose of the study is to observe the impact of policy intervention on financial sustainability using the structural vector autoregression (SVAR) analysis. The population of the study is the manufacturing sector of Pakistan, which is an emerging
Externí odkaz:
https://doaj.org/article/6197fcd4c2b9413b829a07996165aed3
Autor:
Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir
Publikováno v:
Complexity, Vol 2022 (2022)
AI (artificial intelligence) is a significant technological advancement that has everyone buzzing about its incredible potential. The current research study evaluates the influence of supervised artificial intelligence techniques, i.e., machine learn
Externí odkaz:
https://doaj.org/article/ae5f2af30afb498b83f6d3502b85b526
Publikováno v:
NUML International Journal of Business & Management. 17
Financial distress is one of the leading reasons for corporate default, foreclosure, and subsequent bankruptcy. Traditionally accounting information-based models have been used to identify the financially distressed firms. Inaccurate identification r
Publikováno v:
SSRN Electronic Journal.
Autor:
Syed Haider Ali Shah, Nida Aman, Sanaullah Al Azhari, Bushra Alvi, Rafia Amjad, Farhat Ishaque Ishaque, Ozair Ijaz Kiani, Muhammad Zeeshan Ahmed Sheikh
Publikováno v:
Frugal Innovation and Social Transitions in the Digital Era ISBN: 9781668454176
The rise of digitalization has brought new challenges to the business world. E-commerce operations are growing as a result of digitalization, which is transforming traditional business processes, methods, and products into new ones. To address the gl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beacb6c9276e0d13dc4ab984013eddd9
https://doi.org/10.4018/978-1-6684-5417-6.ch016
https://doi.org/10.4018/978-1-6684-5417-6.ch016
Autor:
Muhammad Anees Khan, Kumail Abbas, Mazliham Mohd Su’ud, Anas A. Salameh, Muhammad Mansoor Alam, Nida Aman, Mehreen Mehreen, Amin Jan, Nik Alif Amri Bin Nik Hashim, Roslizawati Che Aziz
Publikováno v:
Sustainability; Volume 14; Issue 16; Pages: 9964
Macroeconomic indicators are the key to success in the development of any country and are very much important for the overall economy of any country in the world. In the past, researchers used the traditional methods of regression for estimating macr