Meenakshi Verma
@siu.edu.in
Assistant Professor, Symbiosis Centre For Management Studies, Nagpur
Symbiosis International University
2.5 Years as an HR in the Corporate, 14.5 years in Academics, 4 Papers in Scopus, 1 Paper in Web of Science, 1 Book Chapter in Scopus
EDUCATION
BBA, MBA (HRM and Tourism), Ph.D. (OB & HR)
RESEARCH INTERESTS
Organizational Behaviour, Stress Management, HRM
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anuradha Goswami, Anuj Verma, and Meenakshi Verma
IEEE
Managing the product recalls in automotive industry is a crucial and relevant problem which impacts human lives and ensures secure operation of automobiles. Recalls of products deals with withdrawing vulnerable products from the marketplace, thus optimizing the corporate's liability for their negligence. The existing techniques and technologies available for product recall management has a deficit of transparency showing recall data patterns depicting the recall urgency derived from its potential risks. This study provides a structured approach which reveals patterns inherent in recall data and classifies the recalls based on its potential risks. The outcome offers relevant insights for manufacturers and regulatory bodies, facilitating in improving the recall management processes and strengthen public safety by treating critical vehicle defects within proper timeline.
Meenakshi Verma, Anuj Verma, and Anuradha Goswami
IEEE
The researchers have utilized the Theory of Gratification as a framework to gauge the adoption intention and hence the impact on productivity by embracing wearable technologies by the employees of Ed Tech sector. The proposed theoretical model has highlighted the impact of Workplace safety (WPS), Curiosity (CUR), Convenience (CON), Social Influence (SOI) and Trialability (TRB) on Adoption Intention (ADI) and productivity of employees. Moderating impact of Trust on the above-mentioned factors have also been validated by using SPSS and AMOS. Theory of Gratification has corroborated the primary responses collected from the employees of Ed Tech sector pertaining in the Bangalore region (n=377). The results arrived at by using Structural Equation Model (SEM) analysis suggest that there exists a significant positive relationship between ADI & WPS, ADI & CUR, ADI & CON, ADI & SOI, ADI & TRI. The moderation results signify that trust moderates the relationship between WPS & ADI, Con & ADI. This study will facilitate the Education sector to arrive at informed decision-making and embrace new technology for the wellbeing of its employees.
Anuj Verma, Meenakshi Verma, and Anuradha Goswami
IEEE
The researchers have adopted Technology Acceptance Model (TAM3) to gauze the customer satisfaction level and WOM for smartwatches. The paper intends to examine the factors which influence the adoption intention, customer satisfaction and WOM of smartwatches. TAM3 model was used to validate the primary data comprising of 383 respondents which was further examined by SEM. The findings of the result revealed that motivation and innovation influence the perceived ease of use (PEU). Compatibility and social influence significantly impacted PUF (perceived usefulness). Both PEU and PUF significantly impacted the adoption intention of smartwatches. The adoption intention was positively connected with customer satisfaction which in turn led to word of mouth (WOM) . The study will help the smartwatch manufacturers gain deep insight understanding the factors influencing customer satisfaction and generation of word-of-mouth publicity
Arindam Debroy, Krishna Kumar Dadsena, Pushparenu Bhattacharjee, Anuj Verma, and Meenakshi Verma
Elsevier BV
Anuj Verma, Meenakshi Verma, and Anuradha Goswami
IEEE
The researchers have used the Technology Acceptance Model (TAM3) to measure the adoption intention of AI in the retail sector. The paper aims to capture the factors that influence the adoption intention of AI in customer relation management in the retail sector. The primary data comprising of 487 respondents was validated by TAM3 which was further analyzed by SEM. The findings of the result revealed that motivation does not impact the perceived ease of use (PEU). Automation and self-efficacy significantly influenced PEU while accuracy, social influence, and customer experience positively impacted PUF (perceived usefulness). Both PEU and PUF significantly impacted the adoption intention of AI in the retail sector. The study will help retail service providers and CRM software developers gain better insight into the adoption of AI
Anuradha Goswami, Guneet Kaur, Shivam Tayal, Anuj Verma, and Meenakshi Verma
IEEE
Large Language Models (LLM) are widely accepted by the humans for their powerful ability to understand, follow and create human-like text. The text generation capabilities of LLMs have reached such a height that it is now comparable to text generated by human.LLMs are a powerful subset of Artificial Intelligence (AI)models, trained on huge amount of human-written text to create indistinguishable content. AI models have taken an important step ahead in constructing hyper-realistic content which can be in any modality such as text, image, and video. The output content generated by these models can be hard to distinguish from human-written content as these models are iteratively trained on texts written by human. Further this has got serious implications across various domains, including news reporting, information fraud, academic plagiarism, data manipulation, financial fraud, theft and deep fakes. The abilities of AI-generated text pose a significant challenge, blurring the lines of differentiation between human and machine-created content. Therefore, to effectively navigate the evolving landscape of AI-generated text, we need a robust and reliable AI text detection model. This study leverages a substantial dataset of 100,000 entries. empowering our model with adaptability across various domains. By employing diverse word embedding techniques along with machine and deep learning models, we explore optimal configurations for exceptional performance. Notably, we implement pre-trained models like BERT and DeBERTa on this extensive corpus, potentially representing the first such application. The resulting models demonstrate remarkable accuracy exceeding 95% across all configurations, signifying a robust advancement in differentiating AI generated text from human written one.
Meenakshi Verma, Anuj Verma, and Anuradha Goswami
IEEE
The researchers have developed a technology adoption model to gauge the adoption intention of Human Resource Analytics (HRA) by the HR professionals belonging to the EdTech sector to carry out various HR functions. The proposed theoretical model has captured the impact of Performance Expectancy (PET), Effort Expectancy (EET), Social Influence (SIF), Facilitating Conditions (FCT), Trialability (TRB) on Behavorial Intention (BHI) of HRA Adoption. Moderating impact of Gender and Experience on the above-mentioned factors have also been validated by using SPSS and AMOS.Unified Theory of Acceptance and Use of Technology extension model (UTAUT 2) has validated the primary responses collected from employees of EdTech sector operating in Bangalore region (n=223). The results arrived at by using Structural Equation Model (SEM) analysis suggest that there exists a significant positive relationship between EET and BHI, SIF and BHI, PET and BHI. The moderation results denote that gender moderates the relationship between SIF and BHI and that experience moderates the relationship between EET and BHI & SIF and BHI. This study will facilitate the EdTech sector to arrive at informed decisions pertaining to their human resource and prepare customized strategies for implementing HRA.
Mohd Salman Shamsi, Anuj Verma, and Meenakshi Verma
Associated Management Consultants, PVT., Ltd.
Anuj Verma, Debarun Chakraborty, and Meenakshi Verma
Elsevier BV
Meenakshi Verma, Anuj Verma, and Gangu Naidu Mandala
Informa UK Limited
Shakti Chaturvedi, Sonal Purohit, and Meenakshi Verma
IGI Global
Employment and employability have lately surfaced as a significant concern for India that stands as the world's second central higher education system. The post-COVID-19 era further demanded a comprehensive policy at the national level. The Indian government approved the new education policy (NEP), bringing changes to higher education in the country on 29th July 2020. After an exhaustive reading of all education policies published in Indian literature, the authors present this viewpoint chapter, contributing to the extant literature on education policies in the following three ways. The first purpose is to evaluate and compare the current NEP 2020 to the last two educational policies of 1968 and 1986 to understand how far each policy could realize the goal of employability. The second purpose is to adumbrate the gaps between industry and academia in the proposed NEP 2020 to propose some transformative steps to fill the outlined gap. Thirdly, the main findings are depicted through a graphical representation to give some directions for future policy and research in employability.
Shakti Chaturvedi, Sonal Purohit, and Meenakshi Verma
Frontiers Media SA
Following the outbreak of COVID 19 in February 2020, Indian universities were shut down and used digital platforms to teach their students since then. Drawing from Kolb’s Learning Theory, John Dewey’s theory, Jack Mezirows transformative learning theory, and Jean Piaget’s theory, the authors in this paper offer a viewpoint on some of the practical teaching practices which can be adapted in business schools in India to be successful in this emerging blended or phygital environment. Using a Community of Inquiry (CoI) framework, the authors reflect on the effective teaching practices based on their own experience, theoretical knowledge gained from an exhaustive web search of various databases of the period, particularly from February to August 2020. The authors performed a careful manual content analysis of the selected research papers. They concluded seven principal teaching methods to create an effective blended environment for students and faculties in Indian business schools: a) reframing virtual spaces in India through online knowledge repository and virtual labs b) using reflective thinking for andragogical and pedagogical Indian approach c) Indian teachers’ readiness to offer various genres of courses on demand d) reinforcing resilience in Indian schools through meaningful participation and conflict resolution e) purposeful learning and inquiry-based learning for Indian students f) experiential learning through an inclusive online pivot in India g) useful apps are discussed to reach out to Indian parents community. These initiatives can influence academicians, educationists, podcasters, and the entire teacher fraternity to design an efficient and adequate teaching plan for the student community in India.
Gangu Naidu Mandala, Meenakshi Verma, Anuj Verma, Suresh Sirisetti, and Venkata Ramakrishna Rao Gandreti
Horizon Research Publishing Co., Ltd.
In the present worldwide serious business and industrialization, entrepreneurs can assume a larger part. The innovative movement has an immediate bearing on the country's financial development. It fills in as an impetus during the time of industrialization and monetary turn of events. Entrepreneurship is the focal power of monetary action, which is needed for the advancement of the country. The innovative characteristics contribute to pay, fearlessness and a wellspring of accomplishment. Entrepreneurs are the critical people of any country in advancing financial development and innovative change. The dairy area plays a multi-faceted part in the financial improvement of country family units. Animals’ raising emphatically affects value regarding pay; and work and neediness decreases in provincial territories. Dairy is a significant aspect of farming development and is additionally considered as a possible area for trade income. India has the biggest milk maker of milk on the planet. Dairy endeavor turns out to be nonstop revenue as well as gives great business freedoms to the poor provinces. Current investigation was conducted to know the innovative conduct of dairy farmers in Vizianagaram District of Andhra Pradesh in 2020 with 240 dairy entrepreneurs. The significant discoveries of the investigation were that a large portion of the prepared dairy farmers were in the medium to the high enterprising class and that lion's share of dairy farmers had an undeniable degree of pioneering qualities viz: self-confidence, achievement motivation, innovativeness, and risk-orientation.
Gangu Naidu Mandala, Meenakshi Verma, Anuj Verma, and Pushpanatham Arumugam
Horizon Research Publishing Co., Ltd.
Purpose: The banking business is significant for each country yet with the extreme rivalry between the public and private area banks, it is the service given that surprisingly recognizes the banks. The bank's execution relies upon how they fulfill and draw in their modern clients. Deals are straightforwardly identified with consumer loyalty. As the deals are expanding there is a necessity of improving the quality of services they conveyed. The item is utilized by the client and the abundance expansion is relying upon their fulfillment level. Design/methodology/approach: The examination broke down the public and private area bank clients' conclusions on CRM concerning service quality and furthermore analyzed their assessment on it. The examination likewise attempts to establish the general correlation of the clients' insight. For the investigation, 240 clients were chosen as a respondent from public and private area banks. Findings: The examination found the view of clients and attempts to advise the path to the banks that how they can hold the old ones and pull in the new ones (clients). Originality/value: The examination demonstrated that in the assessment of public bank clients they scarcely have service quality in their bank and the private bank clients indicated that their bank has better service quality. It very well may be deciphered that in the event that there is an absence of service quality, at that point long-haul relationship with the client may influence. It is inferred that banks need to reinforce their services to satisfy their prerequisites to profit the advantage over the long haul.