Shohistahon Uljaeva

Tashkent Institute of Irrigation and Melioration, Humanitarian sciences, Faculty Member

Slovak University of Agriculture (SPU), Student, Post-Doc

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Shohistahon Uljaeva
Historian | Lawyer | Doctor of Science in History | Professor
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University

I was born in 1967 and currently serve as a professor at the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University. As a historian and lawyer with a Doctor of Science in History, I bring a multidisciplinary approach to teaching and research.

I teach undergraduate and graduate courses in:

History of Uzbekistan

Political Science

Sociology

I have successfully defended two major academic theses. My PhD dissertation explored The Historiography of the Amir Temur and the Temurids Period, and my doctoral thesis focused on The Development of National Statehood in the Empire of Amir Temur.

My passion for research is lifelong and unwavering. I am committed to advancing scholarship in the humanities and social sciences and actively seek collaboration with international scholars and institutions.

Connect with me:

🔹 Facebook Profile: Shohistahon Uljaeva

🔹 Facebook Group: History of Uzbekistan

🔹 ORCID: 0000-0002-0629-5212
Phone: +998909917957
Address: Uzbekistan

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An Evaluation of the Effect of Forensic Accounting Techniques on Financial Reports of Listed Manufacturing Companies in Nigeria

Zenodo (CERN European Organization for Nuclear Research), Apr 21, 2023

This study aims to investigate the effect of forensic accounting techniques in analyzing the fina... more This study aims to investigate the effect of forensic accounting techniques in analyzing the financial reports of listed manufacturing companies in Nigeria. The research employed a purposive sampling technique, selecting 152 respondents as the sample size. A simplified questionnaire was used to obtain accurate and validly quantifiable data, utilizing a 5-point Likert scale method continuum of 1 to 5. This study seeks to gain insight into how forensic accounting techniques can be applied to detect financial manipulations and irregularities in corporate financial reports. The study provides valuable insights into the current state of forensic accounting practices in Nigeria's manufacturing by exploring the perspectives of data mining techniques, data analysis techniques, and machine learning techniques on industry professionals. Data collected were analyzed using descriptive statistics and ordinary least squares. The result revealed that data mining techniques, data analysis techniques, and machine learning techniques have a positive and significant impact on financial information in Nigeria. The study concluded that listed manufacturing companies need to take crucial steps to maximize forensic accounting techniques and thereby improve financial information. The study recommended that forensic accounting techniques and processes should be improved to enhance the qualitative financial statement efficiency process.

Shohistahon Uljaeva

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