Guru basava aradhya s

@atria.edu.in

Associate Dean and Professor and Department of MBA
Atria Institute of Technology

Guru basava aradhya s


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Dr. Guru Aradhya is a distinguished academic and professional in the field of Management, currently serving as the Professor and Associate Dean in Atria Institute of Technology, Bengaluru. With a robust career spanning over two decades, Dr. Aradhya has held key leadership and academic roles across reputed institutions, demonstrating excellence in teaching, administration, and research.

He holds a Ph.D. in Management, alongside an MBA in HR and Marketing, and has pursued additional certifications in data analytics, HR analytics, and case study writing from prestigious institutions like IIM Indore and IIM Trichy. Dr. Aradhya's expertise lies in areas such as human resource management, organizational behavior, and strategic management, with a passion for developing future-ready professionals.

EDUCATION

PhD in Business Management, MPhil. MBA, MCom, BSc

RESEARCH, TEACHING, or OTHER INTERESTS

Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management
22

Scopus Publications

264

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • RIS-Assisted Communication for Autonomous and Electric Vehicle Ecosystems
    P. Selvakumar, Mohammad Shabeeh, S. Guru Basava Aradhya, Subramaniam Iyer
    Reconfigurable Intelligent Surfaces for 6g Enabled Vehicle to Everything Communication, 2026
    Revolutionising autonomous vehicles with Reconfigurable Intelligent Surface (RIS)-assisted communication represents a fundamental shift in how smart mobility systems perceive, interact with, and navigate their environments, enabling unprecedented levels of efficiency, safety, and scalability across next-generation transportation infrastructures. As autonomous vehicles increasingly rely on high-bandwidth, low-latency, and ultra-reliable wireless connectivity to support real-time perception, sensor fusion, and cooperative decision-making, the limitations of traditional communication networks—particularly in complex environments with multipath fading, signal blockages, and insufficient spectrum resources—become more pronounced. RIS technology, built upon programmable meta-surfaces capable of intelligently manipulating electromagnetic waves without conventional power-hungry radio frequency components, introduces a groundbreaking capability to dynamically reconfigure the propagation conditions of wireless signals.
  • Corporate Sustainability Monitoring Using Hybrid Neuro-Fuzzy Systems with Unsupervised Clustering for Decision Support
    Keerthi H K, Lis Melissa Yapanto, Guru Basava Aradhya, Nikitha Sreekanthaswamy, Sajiv G, et al.
    2026 2nd International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2026, 2026
    Monitoring corporate sustainability is increasingly important for stakeholders wishing to prioritize corporate ethical and environmental responsibilities. This study presents a hybrid approach to a Neuro-Fuzzy Inference System named ANFIS that incorporates unsupervised clustering to increase transparency and interpretability for decision makers when evaluating sustainability. The three parts to the methodology were fuzzifying the ESG indicators, to establish an adaptive neuro-fuzzy model allowing for learning complicated relationships between variables, and utilizing clustering methods to organize companies based on their sustainability performance. Ultimately, synthesizing the ESG scores and behaviors of the corporations through Giandini, the ANFIS is designed to produce a transparent decision-support framework (or support system) for effective data-driven decision-making. The designed rule-based decision support allows for enhanced strategic insights for the decision-maker by aligning sustainability patterns with specific governance actions. The suggested approach recognizes the limitations of current methods as it offers a more complete evaluation of corporate governance as it relates to ESG indicators.
  • Clinically Informed Adaptive Multimodal Graph Learning Paradigm for Transparent Temporal and Generalizable Alzheimer’s Disease Diagnosis
    Padmavati Shrivastava, V S Krushnasamy, Guru Basava Aradhya S, Vinod Waiker, Peddireddy Veera Venkateswara Rao, et al.
    International Journal of Advanced Computer Science and Applications, 2025
    This is a clinically reliable and explainable diagnostic framework for the early detection of Alzheimer's disease with multimodal data. Current computational methods face challenges in dealing with fragmented clinical information, poor cross-modal integration, limited temporal modelling, and low interpretability, rendering them unsuitable for real-world medical deployment. To overcome these limitations, we propose the Clinically Guided Adaptive Multimodal Graph Transformer (CAM-GT), a novel architecture that fuses clinical priors with graph-based learning and transformer-driven temporal reasoning within a unified model. The proposed framework uniquely integrates clinically guided graph attention, cross-modal fusion, and contrastive alignment, where the system can capture hidden relationships among imaging, cognitive scores, and clinical biomarkers with high robustness against missing or imbalanced modalities. Implemented on the Python platform with advanced deep-learning libraries, CAM-GT carries out multimodal encoding, temporal progression modeling, and explainability mapping in order to identify the most significant biomarkers that influence the status of a disease. Experimental evaluation demonstrates that the model performs well by achieving an accuracy of 97%, a 97.2% AUC, and outperforming existing models while maintaining strong generalization in heterogeneous clinical environments. Further, high interpretability ensures that clinically, it will be able to trace how predictions are made to instill greater trust and ethical reliability and increase the adoption potential in hospitals and research centers. Finally, CAM-GT benefits neurologists, radiologists, healthcare institutions, and researchers by providing a stable, transparent, high-performing AI system that has the capability to support early diagnosis and guide real-world clinical decision-making in neurodegenerative disease care.
  • Digital Synthetic Generation From Learning and BigData
    Ajay N. Upadhyaya, S. Seenivasan, P. Selvakumar, Nilesh Anute, S. Guru Basava Aradhya, Mohit Sharma, T. C. Manjunath
    Digital Synthetic Data and Outputs, 2025
    Digital synthetic generation is a rapidly evolving field that involves the creation of artificially generated data, media, and environments using computational techniques. It plays a crucial role in industries such as artificial intelligence (AI), gaming, film production, virtual reality (VR), and scientific simulations. By leveraging procedural algorithms, deep learning models, and physics-based simulations, digital synthetic generation enables the production of realistic and scalable content without relying on real-world data collection. This article provides an in-depth exploration of the concepts, methods, and applications of digital synthetic generation, highlighting its significance in various domains and its potential to reshape industries. Concepts of Digital Synthetic Generation: Digital synthetic generation refers to the process of artificially creating digital content using computational models rather than capturing it from the real world. This can include images, videos, 3D environments, physics simulations, and even synthetic datasets for AI training.
  • Personal Data Privacy and Security at Individual and Organizational Levels
    Jasbir Kaur, Shiney Chib, Guru Basava Aradhya S., Prashant Bhavarlal Chordiya, Nilesh Anute, P. Selvakumar, Manjunath T. C.
    User Centric Cybersecurity Implications for Sustainable Digital Transformation, 2025
    In the digital era, personal data is critical to both individuals and organizations. With increasing reliance on digital platforms, the being collected, processed, and stored has reached unprecedented levels. However, this expansion has also led to significant security threats, data breaches, identity theft, and cyberattacks, impacting personal privacy and organizational integrity. This paper explores the essential aspects of addressing individual organizations in safeguarding sensitive information. At the individual level, maintaining data security involves adopting strong cybersecurity practices, including password management, multi-factor authentication (MFA), encryption, safe browsing habits, and awareness of phishing attacks. Individuals must exercise caution when sharing personal information online, use privacy-enhancing tools such as VPNs, encrypted messaging services, and ad blockers, and remain vigilant against evolving cyber threats.
  • Digital transformation and sustainability artificial intelligence and sustainable development
    Manju Shree Raman, Krishna B. Koppa, V. Chithambar Gupta, Vinayak Anil Bhat, S. Guru Basava Aradhya, et al.
    Effects of Digitalization and Circular Economy on Sustainable Policy and Climate Change Prevention, 2025
    Digital transformation and sustainability are increasingly intertwined in today's rapidly evolving landscape, where technological advancements and environmental concerns converge to shape the future of industries, communities, and societies. Operations, strategies and This transformation can enhance efficiency, improve customer experiences, and foster innovation. However, it also carries the responsibility of addressing the pressing sustainability social inequities. The relationship between digital transformation and sustainability is complex, yet synergistic. On one hand, blockchain—provides powerful tools for enhancing sustainability efforts across various sectors. For example, can consumption be smart while improving efficiencies reducing waste? Additionally, big data analytics can help organizations assess their environmental impact, enabling informed decision-making that supports sustainable practices. This data-driven approach allows companies to track their carbon footprints, manage resources more effectively, and identify areas for improvement.
  • Transforming digital supply chains with gamification and metaverse integration
    E. Nirupama, S. Seenivasan, Kamini.S. Bhardwaj, Naresh Babu Karunakaran, Guru Basava Aradhya S., P. Selvakumar, T. C. Manjunath
    Addressing Practical Problems Through the Metaverse and Game Inspired Mechanics, 2025
    The evolution of digital supply chains is one of the most significant transformations within modern business operations. As global markets and technological capabilities continue to evolve, businesses have been forced to adapt to new demands, operational complexities, and technological advancements. Initially, supply chains were traditionally managed through manual processes, spreadsheets, and basic Enterprise Resource Planning (ERP) systems. These systems offered limited automation, often leading to inefficiencies, delays, and a lack of visibility across the entire supply chain. However, the rise of digital technologies in the late 20th and early 21st centuries introduced a paradigm shift in how supply chains functioned. These early advancements laid the foundation for a new era in supply chain management—one driven by interconnected, real-time systems that could monitor and manage the flow of goods, services, and information with greater precision and efficiency.
  • Health Crises and Digitalization: Digital Health
    S. Guru Basava Aradhya, V. Chithambar Gupta, P. Selvakumar, Manju Shree Raman, Jaspreet Singh, T. C. Manjunath, Mohit Sharma
    Sustainable Digitalization Strategies in Business and Healthcare, 2025
    The rapid advancement of technology reshaped sectors, and the concept of digital health encompasses a broad spectrum of innovations, including telemedicine, technologies engagement and provided critical support systems around the world faced unprecedented challenges, digital health solutions emerged as vital tools for maintaining the continuity of care, improving accessibility, and enhancing the overall efficiency of health services. The COVID-19 pandemic catalyzed a massive shift towards digital health, as physical severely limited facilities. Telemedicine platforms surged in popularity, allowing safety shifts was ongoing management. Digital technologies, could maintain regular contact with these patients, adjusting treatment plans and offering support. Moreover, digital health tools facilitated rapid data collection and analysis, enabling more of the evolving crisis. For instance, played a crucial symptom tracking contact tracing, helping to identify outbreaks and manage community spread. Additionally, allowed policymakers to inform resource allocation public health strategies.
  • Performance optimization in remote monitoring
    Nisha Malik, Divya Jyoti Thakur, S. Guru Basava Aradhya, P. Sudheer, Mohit Sharma, T. C. Manjunath, P. Selvakumar
    Synergizing Data Envelopment Analysis and Machine Learning for Performance Optimization in Healthcare, 2025
    Remote monitoring, manufacturing, environmental monitoring, and smart home technology. By allowing continuous oversight without the need for physical presence, remote monitoring enhances efficiency, improves decision-making, and supports proactive management of systems and processes. Understanding the fundamental concepts of remote monitoring, its benefits, and the challenges it presents is crucial for leveraging this technology effectively.At its core, remote monitoring methodologies designed to gather data remotely, often through sensors, software applications, and cloud-based platforms. In healthcare, for example, remote monitoring systems allow patients to transmit vital signs such as heart rate and blood pressure to healthcare providers from home. operations, thereby minimizing downtime and enhancing productivity.The benefits of remote monitoring are manifold. improved accessibility to data.
  • Leveraging LSTM-Driven Predictive Analytics for Resource Allocation and Cost Efficiency Optimization in Project Management
    G. Gokul Kumari, Shokhjakhon Abdufattokhov, Sanjit Singh, Guru Basava Aradhya S, T L Deepika Roy, Yousef A.Baker El-Ebiary, Elangovan Muniyandy, B Kiran Bala
    International Journal of Advanced Computer Science and Applications, 2025
    Resource planning and cost optimization are essential elements of effective project management. Conventional models are weak in changing environments because they cannot keep pace with intricate task interdependencies and changing project constraints. To overcome such weaknesses, this research envisions an LSTM-based predictive analytics model that deploys temporal trends and past project information for precise predictions of task duration, resource allocations, and possible delays. The proposed method combines sequential data modeling with Long Short-Term Memory (LSTM) networks, along with data preprocessing and optimization, to enhance project scheduling and cost control decision-making. With TensorFlow implementation, the proposed LSTM-PRO model resulted in a Mean Squared Error (MSE) of 0.0025, Root Mean Squared Error (RMSE) of 0.05, and an R² score of 0.96, which was far better than ARIMA and other baseline models. The model resulted in a cost saving of 20% on project costs and 20% rise in resource utilization from 65% to 85%. The outcome proves the effectiveness and applicability of the model in actual project settings.
  • Overview of current AI technologies in education
    Rajat B. Hubballi, P. Selvakumar, Ravikumar Seenivasan, Guru Basava Aradhya S., N. Dinesh, Pramod Kumar Seelam
    Transformative AI Practices for Personalized Learning Strategies, 2025
  • Strategic collaborations and partnerships in entrepreneurship
    P. Selvakumar, S. Guru Basava Aradhya, Nilesh Anute, Shallu Devi, Mohit Sharma, et al.
    Support Networks for Entrepreneurs Social Capital and Strategic Collaborations, 2025
  • The role of digital platforms in open innovation
    Guru Basava Aradhya S., K. Lakshman, P. K. Ranjita, P. Selvakumar, Mohit, T. C. Manjunath
    Open Innovation Strategies for Effective Competitive Advantage, 2025
  • Measuring and assessing resilience capabilities within organizations
    S. Guru Basava Aradhya, V. Chithambar Gupta, Shilpa Ajay, Mutyala Subramanyam, Mohit, et al.
    Enhancing Resilience in Business Continuity Management, 2025
  • Applications of AI In Healthcare, Agriculture, Finance, and Other Industries
    P. Selvakumar, Shabnam, Aditee Huparikar Shah, S. Guru Basava Aradhya, T. C. Manjunath
    Innovative Approaches in Computational Systems and Smart Applications, 2025
  • Explainable AI for Transparent Legal Decision Support in Judicial Systems Using Hybrid LegalTech Framework
    Srigouri Kosuri, Meenakshi Sharma, Guru Basava Aradhya S, V. Selvi, S.Suma Christal Mary, et al.
    2025 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Application Icaiqsa 2025 Proceedings, 2025
  • Explainable Multimodal Sentiment Analysis Using Hierarchical Attention-Based Adaptive Transformer Models
    Anna Shalini, B. Manikyala Rao, Ranjitha. P. K, Guru Basava Aradhya S, S. Farhad, et al.
    International Journal of Advanced Computer Science and Applications, 2025
  • Mentoring and Coaching in Staff Development
    Innovative Approaches to Staff Development in Transnational Higher Education, 2025
  • Fraud detection in textile trade using machine learning techniques
    Asian Textile Journal, 2024
  • After-sales services and sustainability: A study of Ather and Bounce electric scooters in Bengaluru
    Guru Basava Aradhya S, Dhanalakshmi R V, Rajat B Hubballi
    2024 International Conference on Recent Innovation in Smart and Sustainable Technology Icrisst 2024, 2024
  • Robotic process automation in textile industry
    Asian Textile Journal, 2024
  • Potent of sales-persons, impact on the channel of distribution in lighting industry in bangalore
    Journal of Advanced Research in Dynamical and Control Systems, 2019

RECENT SCHOLAR PUBLICATIONS

  • Lifelong Learning and
    TC Manjunath, SGB Aradhya
    Collaborative Paradigms of Generative AI and Human Intelligence for … , 2026
    2026
  • Explainable AI for Transparent Legal Decision Support in Judicial Systems Using Hybrid LegalTech Framework
    DGB Aradhya S
    2025 IEEE International Conference on Artificial Intelligence and Quantum … , 2026
    2026
  • Inspiration to Work in Higher Education
    C Jeeva, P Selvakumar, E Sreedevi, TC Manjunath, SGB Aradhya, ...
    Inspirations and Influences of Women Leaders in Higher Education, 295-322 , 2026
    2026
  • Lifelong Learning and Skill Development in the Age of AI
    NS Rao, P Selvakumar, T Toni, TC Manjunath, SGB Aradhya, R Kantayya
    Collaborative Paradigms of Generative AI and Human Intelligence for … , 2026
    2026
  • RIS-Assisted Communication for Autonomous and Electric Vehicle Ecosystems
    P Selvakumar, M Shabeeh, SGB Aradhya, S Iyer
    Reconfigurable Intelligent Surfaces for 6G-Enabled Vehicle-to-Everything … , 2026
    2026
  • Data Privacy and Regulatory Concerns in AI-Powered Market Research
    A Samal, P Selvakumar, P Satyanarayana, D Kulkarni, S Chib, ...
    AI, Machine Learning, and Image Processing in Market Research and Branding … , 2026
    2026
  • Technology-Enabled Circular Economy
    S Haashni, KL Meera, PK Ranjitha, TC Manjunath, SGB Aradhya, ...
    Prioritizing Environmental Sustainability in Local Industrial Systems, 99-126 , 2026
    2026
  • Corporate social responsibilities
    NV Joshi, P Selvakumar, KM Maheshwari, PS Padhye, S Gorde, ...
    Prioritizing Environmental Sustainability in Local Industrial Systems, 383-410 , 2026
    2026
    Citations: 1
  • Financing Clean Energy Projects and the Role of Emerging Financial Markets
    J Suhashini, SM Hiremath, AH Ghadage, M Toni, P Selvakumar, ...
    Impacts of Climate Risk and Energy Consumption on Financial Markets, 1-30 , 2026
    2026
  • Digital Synthetic Generation From Learning and BigData
    AN Upadhyaya, S Seenivasan, P Selvakumar, N Anute, SGB Aradhya, ...
    Digital Synthetic Data and Outputs, 57-86 , 2026
    2026
    Citations: 1
  • Environmental Diplomacy and Cross-Border Negotiations
    R Safare, E Nirupama, K Kunnathully, A Ranjithkumar, SGB Aradhya, ...
    Cross-Border Cooperation in the Age of Climate Change, 237-264 , 2026
    2026
    Citations: 1
  • Defense and Security Expense of a Country or Region and Its Impact on Economic Growth
    P Selvakumar, A Ranjithkumar, S Chandra, SGB Aradhya, TC Manjunath
    Impacts of Military Spending on Economic Growth, 211-238 , 2026
    2026
  • Social Media and Radical Left Populism
    M Kaur, P Selvakumar, GV Chithambar, M Nalini, BAS Guru, ...
    Digital Populism and the Use of Neo-Propaganda and Fake News, 87-108 , 2025
    2025
    Citations: 3
  • Digital Transformation and Sustainability Artificial Intelligence and Sustainable Development
    MS Raman, KB Koppa, VC Gupta, VA Bhat, SGB Aradhya, P Selvakumar
    Effects of Digitalization and Circular Economy on Sustainable Policy and … , 2025
    2025
    Citations: 17
  • Health crises and digitalization: Digital health
    SGB Aradhya, VC Gupta, P Selvakumar, MS Raman, J Singh, ...
    Sustainable Digitalization Strategies in Business and Healthcare, 171-198 , 2025
    2025
    Citations: 22
  • Applications of AI In Healthcare, Agriculture, Finance, and Other Industries
    P Selvakumar, AH Shah, SGB Aradhya, TC Manjunath
    Innovative Approaches in Computational Systems and Smart Applications, 43-70 , 2025
    2025
  • Performance Optimization in Remote Monitoring
    N Malik, DJ Thakur, SGB Aradhya, P Sudheer, M Sharma, TC Manjunath, ...
    Synergizing Data Envelopment Analysis and Machine Learning for Performance … , 2025
    2025
    Citations: 8
  • Strategic Collaborations and Partnerships in Entrepreneurship
    P Selvakumar, SGB Aradhya, N Anute, S Devi, M Sharma, V Vaissnave
    Support Networks for Entrepreneurs: Social Capital and Strategic … , 2025
    2025
    Citations: 7
  • AI-Enhanced Fraud Detection System for Online Financial Transactions
    MAK Dr Guru Basava Aradhya S, Dr Arshan Kler, Dr Santosh Bali, Ms. Manpreet ...
    IN Patent 202411103547 A , 2025
    2025
  • After-sales services and sustainability: A study of Ather and Bounce electric scooters in Bengaluru
    RBH Guru Basava Aradhya S, Dhanalakshmi R V
    2024 International Conference on Recent Innovation in Smart and Sustainable … , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Driving forces for the success of food ordering and delivery apps: a descriptive study
    CS Reddy, GB Aradhya
    International Journal of Engineering and Management Research 10 , 2020
    2020
    Citations: 48
  • Impact of consumer behavior based on store atmospherics
    B Patil, SK TK, BS Kumar, MS Shankar
    PalArch's Journal of Archaeology of Egypt/Egyptology 18 (09), 480-492 , 2021
    2021
    Citations: 31
  • Impact of Online Consumer Reviews on Consumer Purchase Decision in Bangalore
    CS Reddy, GB Aradhya
    International Journal of Allied Practice, Research and Review 4 (3), 1-7 , 2017
    2017
    Citations: 23
  • Health crises and digitalization: Digital health
    SGB Aradhya, VC Gupta, P Selvakumar, MS Raman, J Singh, ...
    Sustainable Digitalization Strategies in Business and Healthcare, 171-198 , 2025
    2025
    Citations: 22
  • Digital Transformation and Sustainability Artificial Intelligence and Sustainable Development
    MS Raman, KB Koppa, VC Gupta, VA Bhat, SGB Aradhya, P Selvakumar
    Effects of Digitalization and Circular Economy on Sustainable Policy and … , 2025
    2025
    Citations: 17
  • A study on challenges faced by restaurants to maintain quality food with competitive pricing
    S Pal, GB Aradhya
    Available at SSRN 3643790 , 2020
    2020
    Citations: 16
  • Impact of employer branding on work-life-balance of IT employees in Bangalore
    U Khurana
    PalArch's Journal of Archaeology of Egypt/Egyptology 18 (09), 327-338 , 2021
    2021
    Citations: 15
  • Potent of Sales-Persons, Impact on the Channel of Distribution in Lighting Industry in Bangalore
    DGBA TK Sateesh Kumar
    Jour of Adv Research in Dynamical & Control Systems 11 (5), 166-172 , 2019
    2019
    Citations: 14
  • Performance Optimization in Remote Monitoring
    N Malik, DJ Thakur, SGB Aradhya, P Sudheer, M Sharma, TC Manjunath, ...
    Synergizing Data Envelopment Analysis and Machine Learning for Performance … , 2025
    2025
    Citations: 8
  • E-Grocery: The Driving Forces Of Consumer Behaviour
    CS Reddy, GB Aradhya
    Turkish Online Journal of Qualitative Inquiry 12 (5) , 2021
    2021
    Citations: 8
  • Strategic Collaborations and Partnerships in Entrepreneurship
    P Selvakumar, SGB Aradhya, N Anute, S Devi, M Sharma, V Vaissnave
    Support Networks for Entrepreneurs: Social Capital and Strategic … , 2025
    2025
    Citations: 7
  • A Tectonic Shift in An Education Sector by An Effective Technology Tool: A Virtual Class Room Learning in An Indian Scenario
    P Harshal, G Aradhya
    International Journal of Innovation, Leadership, Society and Sustainability … , 2021
    2021
    Citations: 7
  • Building Resilient Organizations: Predicaments & Prospects
    FH Pandya, S Jain, N Atchyutuni
    Taylor & Francis , 2022
    2022
    Citations: 6
  • Impact of 3+ 2+ 2 Work Schedule on ITES Sector
    A Sharma, N Ghrutakaushik, S Chandra
    PalArch's Journal of Archaeology of Egypt/Egyptology 18 (09), 470-479 , 2021
    2021
    Citations: 6
  • Effectiveness of artificial intelligence on business decisions in it industry
    LK Yadavalli, SM Srinivasan, GB Aradhya, A Limbu
    Journal of Tianjin University Science and Technology 54 (6) , 2021
    2021
    Citations: 6
  • AN EXPLORATIVE ANALYSIS OF EMPLOYEE EMOTIONAL LABOUR IMPACTING ON THE CUSTOMER PERCEIVED BRAND IMAGE ON MARUTI CAR SERVICES IN BANGALORE.
    GB Aradhya, A Saha, A Sinha
    International Journal of Early Childhood Special Education 14 (5) , 2022
    2022
    Citations: 5
  • A synthesis of emotional quotient in dealer management in the electric car distribution channel in Bangalore.
    MMGKJ Dr. Guru Basava Aradhya
    Journal of Contemporary Issues in Business and Government 28 (3), 596-603 , 2022
    2022
    Citations: 5
  • An analysis of brand awareness levels and its impact on brand salience of pepsico
    LK Yadavalli, GBS Aradhya, G Rajasekhar, B Kushala
    Turkish Journal of Computer and Mathematics Education 12 (13), 2511-2518 , 2021
    2021
    Citations: 5
  • Skill India to Leverage Make in India: Intiatives and Challenges-A Study on Problems of Entrepreneurs and Venture Capitalists in Bengaluru
    GBS Aradhya, MR Vinay
    Anveshana 7 (1), 57-72 , 2017
    2017
    Citations: 5
  • Social Media and Radical Left Populism
    M Kaur, P Selvakumar, GV Chithambar, M Nalini, BAS Guru, ...
    Digital Populism and the Use of Neo-Propaganda and Fake News, 87-108 , 2025
    2025
    Citations: 3