Management of Technology and Innovation, Multidisciplinary, Organizational Behavior and Human Resource Management, Tourism, Leisure and Hospitality Management
Chatbots as scaffolding tools: an active learning model to empower diverse learners Hariharan Ravi, Vedapradha R. On the Horizon, 2025 Purpose This study aims to investigate the scope of integrating educational bots using the Active Learning Model (ALM) within the Learning Management System to empower diverse learners in higher educational institutions (HEIs) focused on improving their academic performance. It also explores the deliberations of these chatbots to ensure accessibility through personalised experience and better opportunities for underprivileged students through community service by HEIs. Design/methodology/approach The systematic sampling method was adopted to collect responses from the 480 students of post-graduate departments in HEIs situated in Bangalore, Hyderabad, Trivandrum and Chennai. JASP V.18 was used to perform the Simple Percentage Analysis, Exploratory Factor Analysis and Structural Equation Modelling to validate the hypothesis. ALM dimensions resulted in personalised learning, intelligent tutoring, language learning, learning analytics and accessibility. Findings Personalised learning, intelligent tutoring and earning analytics are the key indicators of ALM dimensions. Intelligent tutoring is the highest predictor of personalised learning in educational chatbots. Personalised learning of educational chatbots significantly impacts accessibility to diverse learners among HEIs. Originality/value This study covers the complexities of educational chatbots, the theoretical foundations of active learning and a methodology for using the ALM in HEIs. It offers an interdisciplinary approach that provides insights and recommendations that will guide future educational practices and policy creation and promote robust research, ultimately advancing inclusive education in the digital era.
Prioritizing evaluation criteria of IoT-driven warehousing startups: a silver lining to the unorganized sector in food supply chain R. Vedapradha, Deepika Joshi, R. Hariharan International Journal of Logistics Management, 2025 PurposeThis research is designed to meet two research objectives: firstly, to weigh up the criteria of Internet of Things (IoT) adoption in warehousing startups; secondly, to rank warehousing startups on the basis of benefits they derive from IoT adoption catering to an unorganized sector in the food supply chain.Design/methodology/approachA blend of analytic hierarchy process (AHP) and complex proportional assessment (COPRAS) methods of multi-criteria decision-making techniques were applied. AHP determined the weights of various criteria using pairwise comparison, and COPRAS technique ranked the 10 warehousing startups on account of performance indicators. The study has been conducted at the warehousing startups of Bangalore, a hub of food warehousing startups.FindingsThe critical findings of the study revealed that these food warehouse startups attain improved productivity in terms of enhancing efficiency when implemented with IoT adoption. When evaluated using both AHP and COPRAS techniques, the combined results show WH5 as the best performing and WH10 as the least performing warehouse startups.Practical implicationsWarehouses that are embarking on their business opportunity in food storage can strategize to leverage the benefits of IoT in terms of food safety and security, capacity planning, layout design, space utilization and resilience.Originality/valueDespite the numerous research works on food supply chain, the research on IoT in warehousing startups is limited. The rankings for the 10 food warehousing startups integrated with IoT using AHP-COPRAS approaches are the novelty of this work.
Embracing smart grids: financial feasibility of private investments in renewable energy projects Nischitha Krishnappa, Vedapradha Radhakrishna, Hariharan Ravi Management and Sustainability, 2025 Purpose The aim of the study is to explore the financial feasibility of capital and return on investment under the Power Purchase Agreement (PPA) model in solar and wind energy projects using smart grid (SG) technology and to compare the production and consumption of energy. Design/methodology/approach Stratified sampling method was used to select a sample of 32 solar and 27 wind projects from Karnataka Renewable Energy Development Limited and Karnataka Electricity Regulatory Commission websites during the period between 2009 and 2025. The deep learning method, using Python’s Keras framework, was deployed to test hypotheses, predict patterns and extract insights from the secondary data. Findings The financial feasibility in the PPA model was found to be significant, showing a greater impact of investments on solar energy projects when compared to wind energy projects in the state of Karnataka. The results from deep learning prediction and heat maps indicate positive projections for it to continue from 2030 onwards. The trend analysis between production and consumption of energy indicates the growth and transition phase shifting towards renewable energy sources. Practical implications This study offers suggestions for the policymakers, including implementing a single clearance window to approve renewable energy projects, to involve private entities in distribution and transmission of electricity through SG technology. This technology helps the government in minimising the loss of energy in transmission. Originality/value PPAs are a reliable mechanism for procuring renewable energy and meeting the renewable energy targets. As there is a push for sustainability among corporates, it has led to an increased interest in PPAs to scale operations with renewable energy.
Blockchain and Smart Contracts: Transforming Legal Transactions and Dispute Resolution Ram Chandra Kalluri, Rahul J Nikam, Deepti Meena, Vedapradha. R, Yakubova Madina, Deepak Sundrani 1st International Conference on Advances in Computer Science Electrical Electronics and Communication Technologies Ce2ct 2025, 2025 As global online trades grow, the problem of international dispute resolution (DR) and laws gets increasingly relevant. DR has become a popular way of addressing online disagreements, as they are rarely filed in open courtrooms. Blockchain innovations, including cryptocurrencies, have gained popularity due to their diverse uses. Blockchain technology can enable the decentralized implementation of smart contracts, eliminating the requirement for agents such as online stores, credit card firms, and judiciary. Employing a novel metaheuristic enhancement technique, this research created a deep learning (DL) framework that can be used to accurately identify illegal trades. DL is paired with Optimal Genetic Algorithm-based Cuckoo Searching (GA-CS), a novel optimizing technique to address the issues. In terms of limited characteristics, a thorough study was carried out to evaluate the efficacy and functioning of the proposed techniques in comparison to those of several well-known algorithms. This study also contrasted the operation measures of these methods to the recommended approach in identifying illegal trade on Ethereum. The proposed method and supper vector machine algorithms achieve the greatest accuracy, whereas DL with the current optimizing method surpasses the random forest method with a marginally larger efficiency of 99.8% vs 98.4%.
Future of knowledge management in investment banking: Role of personal intelligent assistants Vedapradha Radhakrishna, Hariharan Ravi, Sudha Elango, Venkoba Divyashree, Ashok Jaganathan, Muralidharan Ponnusamy Methodological Innovations, 2024 Purpose: The study’s objective focuses on investigating the involvement of Personal Intelligent Assistants (PIAs) in the Knowledge Management Process (KMP) in Investment Banking Companies leading to Industrial Revolution 5.0 leading to effective Organizational Knowledge Management. Design/Methodology: A Self-administered Survey Questionnaire was circulated to 695 employees of Investment Banking Companies operating in Bangalore, Mumbai, Delhi, Hyderabad, Chennai, and Pune using the Cluster Sampling method. The Covariance-based Structural Equation Modelling (CB-SEM) and Gradient Boosting Regression technique of Machine Learning were used to validate the hypothesis through JASP V.18 Software. Knowledge Creation, Knowledge Sharing, Knowledge Retrieval, Knowledge Application, and Organizational Knowledge Management are the crucial constructs considered in the study. Findings: The results revealed that Knowledge Application is the most influencing factor in effective organizational Knowledge management among the Investment Banks followed by Knowledge Sharing. It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. Implications: The PIAs can facilitate effective Data Analysis and research in managing vast data eliminating the repeated tasks in portfolio reconciliation and offering personalized recommendations to manage portfolios. It enables in compliance, risk management, client relationship management, real-time monitoring and leveraged decision-making through predictive analysis.
Artificial intelligence service agents: a silver lining in rural India Hariharan Ravi, R. Vedapradha Kybernetes, 2024 PurposeThe study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services.Design/methodology/approachMulti-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact.FindingsThe study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population.Originality/valueCustomers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.
Integrating Renewable Energy Sources with Micro Grid Using IOT and Machine Learning Vedapradha R, Shivani Pant, Bhuvaneswari S, Bhupchand Kumhar, Abootharmahmoodshakir, Jambi Ratna Raja Kumar E3s Web of Conferences, 2024 The power system landscape has undergone significant changes over the past few decades, marked by increasing electricity demand, power losses, grid failures, and the absence of smart technology. Simultaneously, security threats have escalated, and conventional power grids are struggling to cope with these challenges. In response to these evolving demands, the Internet of Things (IoT) has rapidly gained prominence due to its transformative potential. By incorporating IoT technology into power grids, we have the ability to improve the efficiency, sustainability, scalability, capacity, reliability, and stability of traditional grid systems. 1. This document provides an in-depth analysis of IoT-enabled intelligent power grids, emphasizing the importance of tackling security concerns, examining diverse use cases, and deliberating on alternative frameworks. Furthermore, we explore IoT and non-IoT technologies utilized in smart grid systems, such as sensing, computing technologies, communication, and applicable standards.
Artificial intelligence – talent acquisition in HEIs recruitments Vedapradha R., Hariharan R., Sudha E., Divyashree V. International Journal of Information and Learning Technology, 2024 PurposeThe current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA).Design/methodology/approachA systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of management in HEIs in metropolitan cities in India. JAMOVI & SmartPLS 4 were applied to validate the hypothesis by performing the simple percentage analysis and structural equation modelling. The demographic and construct variables considered were adoption, actual usage, perceived usefulness, perceived ease of use and talent management.FindingsThe key indicators of perceived usefulness are productivity, perceived ease of use, adaptability, candidate experience with the adoption of AI, frequency in decision-making in its actual usage and career path of development in the HEIs. These are the most influential items impacting the application of AI in TA.Originality/valueAI has the potential to revolutionize TA in HEIs in the form of enhanced efficiency, improved candidate experience, more objective hiring decisions, talent analytics and risk automation. However, they facilitate resume screening, candidate sourcing, applicant tracking, interviewing and predictive analytics for attrition.
Blockchain technology as a panacea in tourism industry Emerging Trends and Innovations in Industries of the Developing World A Multidisciplinary Approach, 2023
Quantum Machine Learning Models for Enhancing Big Data Analytics P Prasant, R Hariharan, S E, SB Jeshurun, R Vedapradha, PVV Reddy International Conference on Future Technologies (ICFT) , 2026 2026
Blockchain Technology-Enabled Baggage Management at the Airport R Vedapradha, D Joshi Distributed Ledger Technology in Communication: Integration of IoT … , 2026 2026
Robotic Surgery: Awareness by ASHA Workers among Rural Women in PCOS V R, E Joseph, R PT Mediterranean Journal of Basic and Applied Sciences 9 (3), 36-47 , 2025 2025
Embracing smart grids: financial feasibility of private investments in renewable energy projects K Nischitha, R Vedapradha, R Hariharan Management & Sustainability: An Arab Review, 1 - 19 , 2025 2025
Chatbots as scaffolding tools: an active learning model to empower diverse learners R Hariharan, R Vedapradha On The Horizon 33 (3), 283-297 , 2025 2025 Citations: 3
Prioritizing evaluation criteria of IoT-driven warehousing startups: a silver lining to the unorganized sector in food supply chain R Vedapradha, D Joshi, R Hariharan The International Journal of Logistics Management 36 (2), 589-610 , 2025 2025 Citations: 6
Mapping the landscape in HEIs: a systematic review of factors influencing EdTech adoption R Hariharan, R Vedapradha Higher Education Evaluation and Development, 1-26 , 2024 2024 Citations: 8
Future of knowledge management in investment banking: Role of personal intelligent assistants R Vedapradha, R Hariharan, E Sudha, V Divyashree, J Ashok, ... Methodological Innovations 17 (4), 229 - 247 , 2024 2024 Citations: 10
Artificial intelligence service agents: a silver lining in rural India H Ravi, R Vedapradha Kybernetes 53 (8), 2662-2678 , 2024 2024 Citations: 14
Integrating Renewable Energy Sources with Micro Grid Using IOT and Machine Learning V R, S Pant, B S, B Kumhar, Abootharmahmoodshakir, JRR Kumar International Conference on Power and Energy Systems (ICPES 2023) 540, 10 , 2024 2024
Blockchain-service quality-service value model to tourism experience R Hariharan, R Vedapradha, W David, ESA Sharath AIP Conference Proceedings 2971 (1), 14 , 2024 2024
Artificial Intelligence - Talent Acquisition in HEIs Recruitments R Vedapradha, R Hariharan, E Sudha, V Divyashree The International Journal of Information and Learning Technology, 14 , 2024 2024 Citations: 13
Blockchain Technology as a Panacea in Tourism Industry JA R. Hariharan, R. Vedapradha, D. David Winster Praveenraj Emerging Trends and Innovations in Industries of the Developing World , 2023 2023
Talent acquisition-artificial intelligence to manage recruitment R Vedapradha, R Hariharan, D David Winster Praveenraj, E Sudha, ... E3S Web of Conferences 376, 05001 , 2023 2023 Citations: 55
Algorithm trading and its application in stock broking services R Vedapradha, R Hariharan, DD Winster Praveenraj, E Sudha, M Pandey, ... E3S Web of Conferences 376, 05002 , 2023 2023 Citations: 6
Role of Social Media in the Digital Transformation of Business JA David Winster Praveenraj D, E. Sudha, R. Hariharan, R, Vedapradha Global Perspectives on Social Media Usage Within Governments, 48-67 , 2023 2023 Citations: 1
Service robots—an innovative sustainability in rural banking R Hariharan, R Vedapradha, E Sudha, K Subramani, VR Divyashree Journal of Service Science and Management 16 (4), 477-500 , 2023 2023 Citations: 9
Innovation in banking: fusion of artificial intelligence and blockchain VRH Ravi Asia Pacific Journal of Innovation and Entrepreneurship 15 (1) , 2021 2021 Citations: 52
Blockchain: an EOM approach to reconciliation in banking VRH Ravi Innovation & Management Review 4 , 2021 2021 Citations: 27
Blockchain technology: A paradigm shift in investment banking R Vedapradha, H Ravi, A Rajasekar Cryptocurrencies and Blockchain Technology Applications, 239-259 , 2020 2020 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Artificial intelligence: A technological prototype in recruitment R Vedapradha, R Hariharan, R Shivakami Journal of Service Science and Management 12 (03), 382-390 , 2019 2019 Citations: 120
Talent acquisition-artificial intelligence to manage recruitment R Vedapradha, R Hariharan, D David Winster Praveenraj, E Sudha, ... E3S Web of Conferences 376, 05001 , 2023 2023 Citations: 55
Innovation in banking: fusion of artificial intelligence and blockchain VRH Ravi Asia Pacific Journal of Innovation and Entrepreneurship 15 (1) , 2021 2021 Citations: 52
Application of artificial intelligence in investment banks H Ravi Review of Economic and business studies, 131-136 , 2018 2018 Citations: 48
Blockchain: an EOM approach to reconciliation in banking VRH Ravi Innovation & Management Review 4 , 2021 2021 Citations: 27
Artificial intelligence service agents: a silver lining in rural India H Ravi, R Vedapradha Kybernetes 53 (8), 2662-2678 , 2024 2024 Citations: 14
Artificial Intelligence - Talent Acquisition in HEIs Recruitments R Vedapradha, R Hariharan, E Sudha, V Divyashree The International Journal of Information and Learning Technology, 14 , 2024 2024 Citations: 13
Future of knowledge management in investment banking: Role of personal intelligent assistants R Vedapradha, R Hariharan, E Sudha, V Divyashree, J Ashok, ... Methodological Innovations 17 (4), 229 - 247 , 2024 2024 Citations: 10
Service robots—an innovative sustainability in rural banking R Hariharan, R Vedapradha, E Sudha, K Subramani, VR Divyashree Journal of Service Science and Management 16 (4), 477-500 , 2023 2023 Citations: 9
Mapping the landscape in HEIs: a systematic review of factors influencing EdTech adoption R Hariharan, R Vedapradha Higher Education Evaluation and Development, 1-26 , 2024 2024 Citations: 8
Indian tourism industry–a yardstick to GDP R Vedapradha, R Hariharan, A Niha European Journal of Tourism, Hospitality and Recreation 8 (2), 140-146 , 2017 2017 Citations: 7
Prioritizing evaluation criteria of IoT-driven warehousing startups: a silver lining to the unorganized sector in food supply chain R Vedapradha, D Joshi, R Hariharan The International Journal of Logistics Management 36 (2), 589-610 , 2025 2025 Citations: 6
Algorithm trading and its application in stock broking services R Vedapradha, R Hariharan, DD Winster Praveenraj, E Sudha, M Pandey, ... E3S Web of Conferences 376, 05002 , 2023 2023 Citations: 6
Investment banking-A panacea for economic development in banking sector R Vedapradha, H Ravi, R Jebasingh International Journal of business quantitative economics and applied … , 2016 2016 Citations: 6
Footprints of Human Resource in Banking Sector RH Pillai, R Vedapradha, C Smitha, AS Kumari Journal of Human Resource and Sustainability Studies 7 (3) , 2019 2019 Citations: 5
Chatbots as scaffolding tools: an active learning model to empower diverse learners R Hariharan, R Vedapradha On The Horizon 33 (3), 283-297 , 2025 2025 Citations: 3
Blockchain technology: A paradigm shift in investment banking R Vedapradha, H Ravi, A Rajasekar Cryptocurrencies and Blockchain Technology Applications, 239-259 , 2020 2020 Citations: 3
Asia: A Lucrative Destination for Investment Banking R Vedapradha, R Hariharan, M Ilankadhir, DR Jebasingh Open Journal of Business and Management 7 (03), 1543 , 2019 2019 Citations: 2
Challenges or survival instinct of Tibetan entrepreneurs VRH Ravi Asia Pacific Journal of Innovation and Entrepreneurship 13 (2) , 2019 2019 Citations: 2
Impact of corporate governance on the performance of banks R Vedapradha, R Hariharan International journal of advances in management and economics 6 (1), 79-89 , 2017 2017 Citations: 2
