Rajeswari

@srmistvdp.edu.in

Professor and Faculty of Management
SRM Institute of Science and Technology, Vadapalani Campus

Rajeswari


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https://researchid.co/mrajeswari

RESEARCH INTERESTS

Finance, Marketing Blcok chain
23

Scopus Publications

Scopus Publications

  • Predictive analytics in capital market: The role of AI in forecasting the stock price
    M. Rajeswari, R. Magesh
    Aip Conference Proceedings, 2026
  • Blockchain 2.0 for Secure, Transparent, and Autonomous Logistics Systems: Next-Gen Innovation In Supply Chain Systems
    M. Rajeswari, V. Rohini, R. Sathya Aarthi, V. P. Rameshkumaar, S. Arul Krishnan
    Intelligent Motion Control for Human Centered Systems, 2025
    From its origins in cryptocurrency (Blockchain 1.0) to powerful additions in decentralised systems (Blockchain 2.0), blockchain technology has been revolutionising the logistics industry on a global scale. With the advent of smart contracts, decentralization, scalability, and interoperability, Blockchain 2.0 opens the door to smooth, transparent, and self-sufficient logistics. It tackles long-standing problems like data manipulation, lack of visibility, counterfeiting, delays and inefficiencies in cross-border trade with tamper-proof records, real-time cargo tracking, supplier assessment and automated customs clearance. Blockchain integrated with IoT, AI, and 5G provides resiliency, traceability and efficiency Using a series of frameworks, case studies and adoption challenges this chapter positions Blockchain 2.0 as paradigm change in sustainable logistics
  • Hierarchical Escalations of Incidents in Block Chain Technology
    M. Rajeswari, R. Magesh
    Organization Purpose and Values Integrating Diversity Equity and Inclusion, 2024
  • A Study on the Determinants of Moonlighting Behavior Among IT Sector Employees
    R. Magesh, M. Rajeswari, Ritu Pandey
    Womens Private Practices of Knowledge Production in Early Modern Europe, 2024
    Moonlighting, also known as side hustling, is the practice of working additional jobs outside of one’s primary employment. This research paper aims to understand the factors that drive IT sector employees to engage in moonlighting behavior. The study will focus on examining the influence of individual, organizational, and societal factors on moonlighting behavior. The individual factors like financial need and job satisfaction, the organizational factors like workplace culture and job security, and the societal factors like economic conditions and alternative forms of income will be analyzed. The study was conducted through surveys with IT sector employees. The findings of the study will provide valuable insights into the motivations behind moonlighting behavior and can be useful for organizations in developing policies to address the issue. The study aims to contribute to the understanding of moonlighting behavior and its underlying causes.
  • SUSTAINABLE TECHNOLOGIES AND SUSTAINABLE PRODUCTS
    Ritu Pandey, M Rajeswari
    Revista De Gestao Social E Ambiental, 2023
    Objective: The purpose of this research is to explore the switching intention of consumers from traditional technology and products - to sustainable technology and products while shedding light on important technology and product adoption constructs. Theoretical Framework: This research integrates the theory of UTAUT and consumer self-accountability in order to examine the switching intention of consumers from traditional technology and products - to green, eco-friendly and sustainable technology and products. Method: Convenience sampling and a questionnaire was used to collect data which was analyzed quantitatively with the help of multiple regression run in SPSS. A score of 0.9 in the Cronbach alpha test indicated that the scales and constructs in the questionnaire were valid. Results and Conclusion: The results suggest that self-accountability, performance expectancy, effort expectancy, and social influence significantly and positively impacts the switching intention of consumers towards sustainable technology and sustainable products. Implications of the research: Business and marketers can call attention to self-accountable behavior of people, which can have a positive impact towards the consumption of sustainable technologies and sustainable products. The focus on the performance and the ease of use of the sustainable technologies and sustainable products will help researchers and marketers immensely. Also this paper contributes positively to the societal goals of creating a sustainable economy. Originality/Value: This paper adds value to areas of research such as consumers switching intention, self-accountability, UTAUT, sustainability, environmental conscious consumer behavior, and sustainable consumption and decision making.
  • A Study on Aggregator Business Model for Instant Grocery Delivery Services
    R. Magesh, M. Rajeswari
    2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023
    This study is to understand the preferences of the general public while using online Instant delivery services. Data was collected from 105 respondents through an online survey. Factor analysis is done to find how a set of preferences vary based on various factors like Age group, gender, Average monthly grocery spend, their current purchasing practice. Independent sample t-test is done to find significant difference in responses of different age groups and also with people who are already using and those not used the services, with respect to various factors listed in the survey. The study gives suggestions based on the various factors that the public give preferences while purchasing groceries using Online grocery delivery services. It emphasizes the potential of Aggregator business model to be successfully implemented for the Instant grocery delivery business.
  • PREFERENCES OF FOOD CONSUMPTION - LOCAL FOOD VS ORGANIC FOOD
    Ritu Pandey, M Rajeswari, R Magesh
    Revista De Gestao Social E Ambiental, 2023
    Objective: The purpose of this research is to understand the change in food consumption patterns of consumers of organic food especially after the pandemic. Theoretical framework: This study draws suggestions from attitude-behaviour relationship model. The internal factors are - attitudes towards local food, and attitudes towards supporting the local economy, while the external factors are - high price and trust issues related to organic food. Method: Data from organic food consumers was quantitatively analysed using multiple regression in SPSS. A seven point Likert scale was considered to measure the responses and a Cronbach alpha score of 0.8 indicated that the constructs were reliable. Results and conclusion: The findings suggest organic food consumers who have an attitude towards local food consumption and an attitude to support local economy have positive intention towards local food purchase. Also the high price and trust issues related to organic food positively influence the intention to purchase local food. Implications of the research: This study uncovers the changes in food consumption pattern during and after the pandemic. COVID-19 has affected people financially too and affordability has become a key. Marketers will have to come up with affordable solutions to market healthy food. Originality/value: The shift in consumers' preference from organic to local has implications for the environment and the society. Local food is found to be sustainable, healthy and less expensive. Local food systems cater to food traceability and high food safety.
  • Sparrow Search Optimization with Ensemble of Machine Learning Model for Customer Retention Prediction and Classification
    R. J. T Nirmalraj, M. Rajeswari, Somanchi Hari Krishna, Bhadrappa Haralayya, Rajadurai Narayanamurthy, Manu Vasudevan Unni
    7th International Conference on Trends in Electronics and Informatics Icoei 2023 Proceedings, 2023
    Customer Relationship Management (CRM) system is majorly used to allow organizations to obtain new customers, establishes a continuous relationship with them and rises customer retention for gaining more profits. CRM systems use machine learning (ML) algorithms for analyzing customers' behavioural and personal data to give organizations a competitive advantage by rising customer retention rates. Therefore, this study designs a Sparrow Search Optimization with Ensemble of Machine Learning Models for Customer Retention Prediction and Classification (SSOEML-CRPC) technique. The presented SSOEML-CRPC technique aims to classify the possibility of customer churn. To attain this, the SSOEML-CRPC technique follows data normalization approach to uniformly scale the data. Next, the SSO algorithm is employed for the choice of optimal features. For classifying customer churn, ensemble of ML models namely back propagation neural network (BPNN), adaptive neuro fuzzy inference system (ANFIS), and extreme gradient boosting (XGBoost) models. The experimental result analysis of the SSOEML-CRPC technique is well studied on benchmark datasets and the results can be investigated in terms of several aspects. The experimentation outcomes illustrate the better outcomes of the SSOEML-CRPC technique over other existing models.
  • Optimal Analysis for Enterprise Financial Management Based on Artificial Intelligence and Parallel Computing Method
    M. Rajeswari, N. Kumar, P. Raman, Pramod Kumar Patjoshi, Vaishali Singh, Sumit Pundir
    Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
    To function in today’s society, people need access to information technology for every aspect of their lives, from personal interactions to the creation of goods and services. As the Internet and the In tandem with the expansion of the country’s information industry, an increasing number of businesses are opting to use an Automation of Financial Data Management with AI. Artificial intelligence (AI) is a new technological science that aims to mimic, extend, and increase human intellect via the study and development of ideas, methodologies, technologies, and application systems. Artificial intelligence (AI), which may be seen as a method of teaching computers to replicate and simulate human thinking patterns and behaviours, has been the primary focus of data processing in recent years. To better grasp the complexity of many challenges in the financial services industry, AI has become a significant solution for creating accuracy and accountability. This paper begins with a discussion of basic technology’s blueprint and shape, optimises it, investigates the real-world requirements of SMEs in terms of financial management, concludes with system architecture and development architecture, and finally concludes with performing hypothetical tests testing the system’s functional performance. The test results show that the system accomplishes its intended purposes and performs its primary operations, but that it still needs some tweaks and additions. Because of this, it is very important that all the information used in managing money is exact, correct, and reliable.
  • Impact of underdog narrative advertising strategy on brand positioning and customer purchase intentions
    Nazim Sha S*, , Rajeswari M, and
    International Journal of Recent Technology and Engineering, 2019
    Straightforward idea of examples of overcoming adversity accomplished through hardships and disappointment when their rivals are against them. This idea is utilized as a vital device to assemble a solid underdog brand and furthermore to win empowering and positive shoppers. The plan to mark an organization or an item has been in presence from long back. For interfacing with the shopper's and to catch their sentiments firms attempt to reposition their brands as underdogs. Online networking has been distinguished as the key device to convey the brand identity through a persuasive narrating encircled by advertisers to catch the positive client recognition towards the brand. The examination among 100 members for the most part business visionaries, top level chiefs and furthermore purchasers was led to look at the impact of brand story technique on situating a brand and client buy goals. As per the title of the work this work was primarily pointed in breaking down and characterizing the underdog story procedure utilized for mark recognizable proof, mark identity, buy goals, for empowering the client towards an item and an administration and furthermore deciphering the viability and inclination of this brand account system among customers. The investigation effectively affirmed that Brand distinguishing proof: Most of the respondents solidly agree that underdog story technique is a viable promoting instrument utilized for mark recognizable proof as far as items and clients. Brand Personality: Most of the respondents agree to the way that underdog stories leave a more prominent stamp on mark identity among purchasers. Convincingness: Most respondents agree to the strategy that underdog stories invigorate a client's towards purchasing. Buy Intentions: Most respondents agree to the technique that Underdog is the best favored methodology used to position a brand. Adequacy and Preference: Most respondents agree to the technique that underdog stories is the best and the favored advertising system used to catch the client consideration. The primary explanation for this procedure is mark account technique mirrors a similar story of themselves whom it is uncovered. The story that attract their history survey of achievement accomplished through diligent work and assurance. Brands discovers this technique as the remarkable and the best strategy to beat the chances. What's more, the underdog story procedure has caught the primary commercial center in the present period and will be dynamic in future too.
  • Assessment of patient satisfaction by physician assistants in super specialty hospital
    A.S. Princy, , Dr. M. Rajeswari, and
    International Journal of Engineering and Advanced Technology, 2019
  • Assessing competency of community healthcare workers
    A.S. Princy, , Dr. M. Rajeswari, and
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Creating a brand value and consumer satisfaction in E-commerce business using artificial intelligence with the help of vosag technology
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • The efficiency of social media in political campaigns and their influence on deciding the policymakers
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • The efficiency of television advertising and their influence on consumers
    International Journal of Recent Technology and Engineering, 2019
  • Role of an Hr in improving the employee’s performance and commitment towards the organization
    International Journal of Engineering and Advanced Technology, 2019
  • Attitude towards children’s advertisements by the indian parents
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Enhancement of customers satisfaction through social media for brand building in banking sector
    International Journal of Mechanical and Production Engineering Research and Development, 2018
  • Assessment of competency of diagnostic radiographers
    International Journal of Mechanical and Production Engineering Research and Development, 2018
  • Customer satisfaction and technology advancement-a comparative study between public and private sector banks in Chennai
    International Journal of Mechanical Engineering and Technology, 2018
  • Competencies of physician assistant interns
    Journal of Advanced Research in Dynamical and Control Systems, 2017
  • A comparative study on preference towards investment products between it and non it investors
    International Journal of Applied Business and Economic Research, 2017
  • A study on effectiveness of social media in recruitment process
    International Journal of Economic Research, 2017