Bahria University

Discovering Knowledge

DR. NIDA AMAN

Faculty Photo
PERSONAL INFORMATION
Faculty Photo
Email nidaaman.buic@bahria.edu.pk
Phone Ext. 9260002
Research Areas / Expertise Corporate Finance
QUALIFICATION
Degree Passing Year Majors University
PhD 2020 Finance Iqra National University, Peshawar.
MBA - Finance 2008 Finance University of Peshawar, Pakistan
BBA (Hons) 2007 Management Studies University of Peshawar, Pakistan
TEACHING EXPERIENCE
Designation From To Organization
Associate Professor 01-Jul-2024 Present Bahria University E-8 Islamabad, Pakistan
Assistant Professor 01-Jul-2019 30-Jun-2024 Bahria University E-8 Islamabad, Pakistan
Senior Lecturer 01-Aug-2015 30-Jun-2019 Bahria University E-8 Islamabad, Pakistan
Lecturer 01-Aug-2010 30-Jul-2015 Iqra National University, Peshawar

Publications

Journals
  • An Inquiry into Earning Management Motives: Evidence from Pakistani Distressed and Non-Distressed Firms | NICE research Journal
  • Does Corporate Governance and Islamic Label Mitigates Overinvestment of Free Cash Flow? Evidence from Pakistan | NUML International Journal of Business & Management
  • Does CEO'scultural background affect community related CSR activities? | Global Management Sciences Review
  • Improving corporate default prediction at Pakistan Stock exchange (PSX) through formation of the composite default index (CDI) | IQRA Journal of Business & Management
  • Impact of Tax avoidance on firm value and the moderating role of corporate governance: evidence from Pakistani Manufacturing Firms | IQRA Journal of Business & Management
  • Role of Real and Accrual Earnings Management in determining Over Investment Pratices: Evidence from distressed and non distressed Pakistani Non-Financial firms | IQRA Journal of Business & Management
  • Mediating Impact of Financial Statements Window dressings in Public Listed Companies Based on Corporate Governance Mechanism and Firm Financial Performance | Global Economics Review
  • The Nexus between Islamic Label and Firm Value: Evidence from Cross Country Panel Data | The Journal of Asian Finance, Economics and Business
  • Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms | Complexity
  • Policy Intervention and Financial Sustainability in an Emerging Economy: A Structural Vector Auto Regression Analysis | FRONTIERS IN PSYCHOLOGY
  • Application of machine learning algorithms for sustainable business management based on macro economic data: supervised learning techniques approach | Sustainability
  • An empirical mediation analysis of technological innovation based on artificial intelligence in the relationship between economic development and corporate governance mechanism | Frontiers in Environmental Science
  • Applying artificial intelligence techniques for predicting the environment, social, and governance (ESG) pillar score based on balance sheet and income statement data: A case of non-financial companies of USA , UK, and Germany | Frontiers in Environmental Science
  • The Role of CSR, Ethical Leadership, Moral Reflectiveness to Shape Employees' Pro-Environmental Behavior Among Employees of Small and Medium Enterprises: A Double-Mediation Model | FRONTIERS IN PSYCHOLOGY
  • Identification of Financial Distressed Firms at Pakistan Stock Exchange Through Infusion of Corporate Social Responsibility Information into Altman Z-Score | NUML international Journal of Business and Management
  • The impact of perceived CSR on employees' pro- environmental behaviors: the mediating effects of environmental consciousness and environmental commitment | sustainability
  • Sustaining the Earth: Unraveling the Synergy of Workplace Spirituality, Responsible Leadership, and Pro-Environmental Behavior in Pakistan’s SMEs | Psychology Research and Behavior Management
Conferences
  • Impact of Firm Diversification and Cash Flow Volatility on Investment-Cash Flow Sensitivity: Evidence from Non-Financial Companies of Pakistan | International Conference on Computational & Social Science (ICCSS), Malaysia
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