Faizi Weqar

Faizi Weqar
  • Doctor of Philosophy
  • Professor (Assistant) at Mohammad Ali Jauhar University

Currently working as an Assistant Professor in the field of Finance and Accounting.

About

13
Publications
16,493
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337
Citations
Introduction
Dr Faizi Weqar is a full-time faculty in the Department of Commerce of Mohammad Ali Jauhar University, Rampur, India. Currently, he teaches the subjects of finance and accounting to undergraduate and postgraduate students. He completed his B.Com. (Hons.), M.Com. (Finance & Accounting) and PhD from Aligarh Muslim University, Aligarh, India. His research is primarily focused on the Intellectual Capital of the organisation and has published nine research articles in Scopus-Indexed journals.
Current institution
Mohammad Ali Jauhar University
Current position
  • Professor (Assistant)

Publications

Publications (13)
Article
The study's main objective is to inspect the relationship between intellectual capital (IC) and the firm's innovation capability and financial performance. We employed data from 65 Indian pharmaceutical firms from 2004 to 2019. Innovation capability is measured using the proxy of the firm's research and development expenditure, while return on asse...
Article
Full-text available
The main objective of this research article is to examine the effect of intellectual capital (IC) and its dimensions on the financial performance (FP) of the Indian renewable energy industry, guided by the Resource-Based View (RBV). The study employed data from 36 solar and 39 wind sector companies for six years, from 2017 to 2022. Moreover, the mo...
Chapter
Full-text available
Innovative approaches and regulatory laws for fake technology are clarified in this study. This chapter contributors explores the regulatory and legal implications of one specific real-world deepfake case study. The writers note that individuals are initially frightened of these deep fakes, similar to how they have been with numerous other innovati...
Article
Full-text available
This paper aimed to examine the effect of intellectual capital (IC) and its dimensions on the financial performance of Indian firms. The data of 88 Indian firms engaged in tea packaging, selling, and distribution for six years from 2013 to 2018 were extracted. Value added intellectual coefficient (VAICTM) methodology forms the basis for quantifying...
Article
Full-text available
The spread of coronavirus disease 2019 (COVID-19) has had a significant impact on business and economies globally. This paper aims to investigate the impact of COVID-19 on firm performance in China's high-tech industries. The population of this paper is 116 companies listed on the sci-tech innovation board (STAR market) of the Shanghai stock exchan...
Article
Full-text available
In the current scenario, intellectual capital has been recognised as a vital corporate asset because the conventional performance measurement techniques are incapable of measuring intangible dimensions of corporate performance. It is a challenge, especially for knowledge-driven firms, to measure the impact of intangibles on their financial performa...
Article
Full-text available
Purpose - The prime intention of this study is to examine the influence of intellectual capital (IC) on the financial performance of Indian companies listed on Standard and Poor Bombay Stock Exchange Sensitive Index (BSE SENSEX). Design/methodology/approach - The study employs the data of 30 most significant and most prominent companies of India li...
Article
Full-text available
Purpose The purpose of this paper is to inspect the effect of intellectual capital (IC) on the financial performance (FP) of Indian banks. Design/methodology/approach The study uses the data of 58 Indian banks, namely, 20 nationalised banks, 17 private Indian banks and 21 private foreign banks, for the period between 2009 and 2018. A modified valu...
Article
Full-text available
The main objective of this study is to examine the influence of intellectual capital (IC) on the financial performance of the Indian textile industry. The study employs the data of top 100 Indian textile companies for a period of ten years from 2009 to 2018. Value Added Intellectual Coefficient (VAICTM) methodology was employed for measuring the ef...
Article
Full-text available
The purpose of this paper is to empirically examine the effect of intellectual capital on the financial performance of the central public sector enterprises (CPSEs) operating in India and also to analyse the contribution made by each component of intellectual capital in the financial performance of the organisation. Secondary data were collected fr...
Article
Full-text available
The purpose of this paper is to empirically examine the effect of intellectual capital on the financial performance of the central public sector enterprises (CPSEs) operating in India and also to analyse the contribution made by each component of intellectual capital in the financial performance of the organisation. Secondary data were collected fr...
Conference Paper
Full-text available
In an attempt to curb-out black money, money laundering and to have a sound economy, the central government of India has embarked on the cashless economy. It is a start of a new era in the nation with life with digital money. This paper dwelt on the meaning of a cashless system, explains online banking techniques in India, schemes by government to...

Questions

Questions (5)
Question
While performing Fixed Effect (FE) and Random Effect (RE) Regression in Stata, three R2-values are given: Within, Between and Overall. So, which R2 value should I write in my research paper for FE and RE Regression?
Question
While performing Fixed Effect (FE) and Random Effect (RE) Regression in Stata, three R2-values are given: Within, Between and Overall. So my question is, which R2 value should I write in my research paper for FE and RE Regression?
Question
Dear RG Members,
Is it necessary to check the secondary data for normality and linearity while performing panel data regression (like Fixed Effect or Random Effect model)?
And if not?
Then what to give references? As in many papers, the author/s neither discuss the secondary data's normality nor linearity before performing FIxed Effect or Random Effect.
Regards
Question
Could anybody explain that while performing the system GMM model, I have to perform a unit root test or not? I have data from 46 firms for 12 years, but while performing the Levin-Lin-Chiu test in Stata software, it shows the following "Levin-Lin-Chiu test requires strongly balanced data".
Question
Is there any difference between Tobin's Q and Market-to-Book ratio? Whether I can use both the indicators (or formulas) simultaneously as a dependent variable in my study. How to interpret the above two ratios?
Thanks in Advance.

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