Madhu Arora
@sribalajiuniversity.org
Sr. Assistant Professor, Balaji Institute of Modern Management
BIMM, Sri Balaji University
She is an academician-cum-trainer in multidisciplinary domain having completed her PhD from University of Petroleum and
Energy Studies Dehradun, India. She holds a Post-graduate degree in Business
Administration with specialization in Operations Management from IGNOU, India along with
Masters in Personnel Management from Pune University India. Her research interests
include cold chain management, consumer adoption and business.
EDUCATION
PhD (Management)+MPM+MBA(Operations)+BSc
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Business, Management and Accounting, General Business, Management and Accounting, Management of Technology and Innovation
Scopus Publications
Scopus Publications
Kushika Sharma, Rupesh Kumar, Amit Kumar, Subhra Balabantaray, and Madhu Arora
Springer Science and Business Media LLC
Madhu Arora, Rupesh Kumar, Deepak Bangwal, Vasim Ahmad, and Saurav Negi
Wiley
AbstractThe food industry suffers from huge wastage and losses in food products, and reducing this waste and loss is an issue in the food industry. Improvement in cold chain performance will result in the minimization of food losses and wastage. The reason for this review is to look at the causal connection between different issues with cold chain performance through empirical validation. According to the goal of the review, seven theories were proposed dependent on a thorough writing survey on issues in the cold chain of the frozen food industry. Evidence was found for proposed speculations. The results of hypothesis testing showed infrastructural facility, safety and quality, awareness and handling practices, and responsiveness to positively influence cold chain performance while increased efforts are required for appropriate implementation of integration, sustainability, and traceability. While the performance of the supply chain and parameters affecting it has been a critical exploration theme for more than many years, scarcely any examination has been led that centers explicitly on issues considered synergistically.
Vasim Ahmad, Lalit Goyal, Madhu Arora, Rakesh Kumar, Kanegonda Ravi Chythanya, and Shreya Chaudhary
IEEE
Sustainability reporting has gained significant importance in recent years, with organizations increasingly recognizing the need to report on their environmental, social, and governance (ESG) performance. The traditional methods of collecting and reporting ESG data are often manual and time-consuming, leading to errors and inconsistencies. The emergence of Accounting, which integrates emerging technologies such as artificial intelligence (AI), blockchain, big data analytics, and robotic process automation (RPA) into the accounting profession, provides an opportunity to enhance the quality and effectiveness of sustainability reporting. The integration of AI in sustainability reporting has several potential benefits, including the automation of ESG data collection and analysis, the identification of trends and patterns in ESG data, and the provision of real-time insights into sustainability performance. This research paper investigates the impact of AI on sustainability reporting in Accounting.
Vasim Ahmad, Richa Goel, Madhu Arora, Anita Venaik, and Rakesh Kumar
IEEE
Fraudulent activities can cause significant financial losses for businesses, and accounting departments are particularly vulnerable to such activities. The use of data science techniques has emerged as a powerful tool in detecting and preventing fraud in accounting. Study explores the application of data science techniques for fraud detection in accounting, including data mining, machine learning, and statistical analysis. It goes over how these methods can be used to spot financial data trends and anomalies that might point to fraud. Additionally, it examines the potential benefits of implementing data science techniques in fraud prevention, such as reducing false positives and improving the accuracy of fraud detection. Evolving Fraud Techniques, Imbalanced Data, and Overlapping Anomalies are the few challenges that are faced over the years. Overall, this study emphasizes the importance of utilizing data science techniques to prevent and identify fraudulent activities in accounting, as it can lead to significant cost savings and protect the integrity of financial data.
Madhu Arora and Abha Gupta
Inderscience Publishers
Madhu Arora, Rupesh Kumar, and Neeraj Anand
Inderscience Publishers
Madhu Arora, Laxmi Rani, and Vibhuti Tyagi
Oxbridgepublishinghouse
Motivation is the driving force which stimulates an individual to take action and sustains that behaviour. In the initial stage, only money was considered as a factor of motivation but there are many other factors also which motivates the individuals. The importance of these factors of motivation varies from person to person. Some people prefer financial factors while some people prefer non-financial factor. Present research aimed at identifying preference of factors affecting motivation of employees working in various Indian Enterprises and impact of demographic factors on the factors of motivation. Study was conducted with the help of questionnaire for this research. The questionnaire consisted of two parts: Part (A) and Part (B). The questionnaire was prepared on the basis of ten factors of motivation, Participants were asked to give the ranking to the factors of motivation on the basis of their importance. Relationship between motivational factors and demographic variables were established with the help of T test and ANOVA. The motivating factors were taken with the help of literature review. This research is supposed to provide useful directions to managers and other policy makers in developing employee motivation policies.
Miklesh Prasad Yadav, Madhu Arora, Sunil Kumari, and Sanjay Nandal
Amity University Madhya Pradesh Gwalior
The digital journey of learning has been of different perceptions to different communities. We study the perception of students regarding online learning during the lockdown period in three different communities of India i.e. rural, urban and metropolitan on the basis of survey of 411 students during lockdown period. Ten problem statements have been considered to be rated at Likert’s Five Scale. To check the reliability, Cronbach's α, to analyze the data- mean & standard deviation and to validate the results t-test and Post Hoc Test have been used. It is concluded that majority of students have smart phones in urban and metropolitan but neutral to learning while rural students prefer the conventional leaning. This study contributes to the new theory of the efficacy of digital learning as mode of learning in and after lock down period that will bring the attention of educational agencies, faculty members as well as policy makers towards the problems faced by the students in digital learning.
Madhu Arora, Lalit Mohan Goyal, Nalini Chintalapudi, and Mamta Mittal
Proceedings of the 2020 International Conference on Computing, Communication and Security, ICCCS 2020 IEEE
Worldwide governments have decided to temporarily closures of educational institutions in an attempt to minimize the spread of the COVID-19 Pandemic, which has forged significant challenges for the education community. The present study is from the digital education scenario during the COVID-19 lockdown to find out the factors affecting online learning. This study is exploratory from 1218 students who have been collected based on a structured questionnaire having a 5-point linear scale. Jamovi software has been used for data analysis and results demonstrate that there are three major factors like affordability, infrastructural, and training that affect online learning during the COVID-19. Besides, correlation analysis between these factors highlights the relationship among them. Linear regression has applied to know the impact of affordability and infrastructure on the training factor. Outcomes suggested that infrastructure has a negative impact but affordability has a positive impact on the training factor. In the present scenario, this study highlighted the importance of social distancing and digital education tools that should be adopted by schools and colleges.
Miklesh Prasad Yadav and Madhu Arora
Inderscience Publishers
Madhu Arora and Mamta Mittal
Elsevier BV
RECENT SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Patent - "A Novel technique in development of Chatbot Hosting service using AI & ML" published on 13/05/2022
Patent - "The Effects of HRM on employee job performance in India's state enterprises" published on 05/01/2024
Industry, Institute, or Organisation Collaboration
Educational institutions
Balaji Institute of Modern Management
Sri Balaji University, Pune
INDUSTRY EXPERIENCE
NIIT Pvt Ltd. - 3 years as Systems Executive