Vijay Kumar Singh
@srmuniversity.ac.in
Professor and Dean, Faculty of Law
SRM University, Delhi NCR, Sonepat Haryana
An experienced faculty of law with a demonstrated history of working with academia (HNLU and UPES), national regulator (CCI) and a Government think tank (IICA) under the Ministry of Corporate Affairs. Skilled in Corporate and Securities Laws, Competition Law and Policy, Insolvency, Alternate Dispute Resolution, International Trade, Public Speaking, and Administration. Strong professional with a Ph.D. in Law and higher degrees in Law and Management.
EDUCATION
Dr. Singh is a doctorate in law with basic degree in science followed by degrees in law with Gold Medals in his LLB and LLM examinations from Nagpur University. Dr. Singh has authored a book titled “Corporate Power to Corporate Crimes: Understanding Corporate Criminal Liability in India”. He is also an MBA in HR from IGNOU. Dr. Singh is a certified trainer on “Managing Disputes and Difficult Conversations on the Board‟ by Centre for Effective Dispute Resolution (CEDR) and a mediator by ICADR.
RESEARCH INTERESTS
Corporate Law, Competition Law, International Trade, Dispute Resolution, Insolvency, Comparative Law
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Vijay Singh and Himani Singla
Emerald
PurposeThe study aims to examine how the information disclosed by the managers in the management discussion and analysis (MD&A) reports varies at the different levels of corporate performance.Design/methodology/approachTo understand this quantile effect, first OLS technique was adopted and then, the quantile regression method was applied to explore the impact of MD&A disclosures on the firm performance across the lower and upper quantiles. The sample size for the study is 490 firms’ year observations for the period 2016–2022.FindingsThe results of the study demonstrate the negative but significant relationship between MD&A disclosures and corporate performance, supporting the two management strategies of “competitive disadvantage” in case of good performance and “management impression strategy” in case of poor performance. Furthermore, with other corporate governance variables, both the size of the board and the number of independent directors on the board are positively significant only in the case of the upper quantile indicating the heterogeneity in the relationship between the performance and the MD&A disclosures. Therefore, the overall findings of the study support that these results contradict the agency theory and the stakeholders’ theory as managers are not acting well as agents on behalf of the investors and work well only when they are controlled by the large board having more independent directors.Originality/valueTo the best of the authors’ knowledge, no study so far has incorporated quantile regression to assess the effect of MD&A disclosures on company performance at various levels of the firm performance, which gives more robust insights about the viewpoint of the managers on the different level of the firm performance. In other words, this study highlights the important information as to how the information provided in the MD&A reports varies as per the good or poor performance of the companies.
Avita Katal, Vijay K. Singh, Tanupriya Choudhury, Faisal Imran, and Md. Sabbir Hossain
Hindawi Limited
The difficulty of allocating a balanced educational syllabus to academic periods of a curriculum, also known as curriculum balancing, has long been a source of consternation for any institution of higher education attempting to connect learners and teachers. The balanced academic curriculum challenge entails assigning courses to academic times while adhering to all load restrictions and prerequisite requirements. The balanced academic curriculum problem (BACP) includes assigning subjects to class hours that fulfill standards even while managing students’ burden in terms of credits, course load, and perquisites that includes subjects covered in the previous semesters/periods. The number of credits every semester corresponds to the academic load. As a result, educational frameworks must be “balanced,” which means the credits for each period should be equivalent in order for students to bear minimum work. As a result, it is desirable to reduce this cost by developing a study plan that employs an algorithm that conducts this work automatically. Using an optimization method, this article provides a solution to the challenge of curricula balancing based on the discrete firefly algorithm (DFA). In research, FA has already been used to solve the BACP problem. However, the basic FA is modified to DFA with a local search mechanism inbuilt that helps to reach optimum solution in less number of iterations. A series of tests on standard and real data instances are done to check the efficiency of the suggested approach, with the objective of producing a platform that would simplify the procedure of building a curriculum system at institutions of higher learning. The results show that the proposed solution obtained a rather rapid solution and hit the recognized optimum in most of the iterations.
Vijay Kumar Singh
Springer Nature Singapore
Avita Katal and Vijay Kumar Singh
Common Ground Research Networks
Vijay Kumar Singh
WORLD SCIENTIFIC
Vijay Kumar Singh
WORLD SCIENTIFIC
Vijay Kumar Singh
Springer Singapore