Business, Management and Accounting, Organizational Behavior and Human Resource Management, Management Information Systems, Business and International Management
37
Scopus Publications
1138
Scholar Citations
15
Scholar h-index
24
Scholar i10-index
Scopus Publications
Utilizing Fractal Analysis and Machine Learning to Enhance Natural Disaster Prediction and Foster Resilient Smart City Development Artificial Intelligence Big Data and Internet of Things for Sustainable Industry and Infrastructure Development, 2026
Foundation Concepts for Business Analytics V. Harish, Ravindra Sharma, Geeta Rana, Bhakti Parashar Handbook of Business Analytics, 2025 “Foundation of Business Analytics” is an attempt to provide a detailed review and consolidation of the various core concepts and significant progresses in the emerging domain of Business Analytics. The chapter starts with an attempt to provide the reader the overview of the term “Business Analytics” and its association with the term “Data Analytics”. The chapter then highlights the significant milestones that have critically evolved the dynamic field, tracing its evolution from its early stages to its present status as a vital and indispensable tool for efficient decision-making process that is being backed by data across organizations and it sets the stage for a comprehensive exploration of the topic by outlining the chapter's scope and objectives. The next section details the transformative impact of technological advancements on Business Analytics and discusses the importance of data collection and pre-processing techniques in order to maintain data quality and integrity, the next section details different forms of Business Analytics, including descriptive, diagnostic, predictive, and prescriptive analytics where each category is thoroughly explained. The chapter concludes by emphasizing the diverse applications of Business Analytics across various industries, underlining its importance as a valuable asset in driving data-driven decisions and optimizing business performance. In summary, “Foundation of Business Analytics “ is an insightful book chapter that provides a detailed analysis of the core principles, techniques, and applications of Business Analytics and it attempts to equip readers with a comprehensive understanding of this dynamic field, enabling them to leverage data effectively and make informed decisions to succeed in today’s data-driven business landscape.
A Systematic Review on Emerging Technologies, Applications and Challenges in the Internet of Medical Things (IoMT) Kalai Arasi Mehavarnam, V. Srividya, V. Harish, Ravindra Sharma, Geeta Rana Proceedings 2025 5th International Conference on Internet of Things Smart Innovation and Usage Iot Siu 2025, 2025 The integration of the Internet of Medical Things (IoMT) in patient remote monitoring, care, clinical and diagnostics based decision-making has reshaped the healthcare industry. With the tremendous growth and complexity of medical data due to patient-centric digital services and device connectivity, it is crucial to understand the emerging technological advancements and their applications. This paper systematically reviews the Literature (SLR) synthesizing recent advancements of IoMT deployed in healthcare, focusing on three key dimensions: (1) identifying core IoMT technologies and their practical applications, (2) highlighting the prevailing challenges from different perspectives in the implementation. The study adhered to the PRISMA framework to screen and analyze high-quality research articles published between 2015 and 2025, sourced from leading academic databases. The key findings highlight the predominant IoMT technologies, such as wearable sensors, AI/ML algorithms, blockchain and so on, that are transforming healthcare through remote monitoring, realtime diagnostics, personalized treatment, and smart hospital management. The prominent applications include chronic disease management, elderly care, telemedicine, and postsurgical monitoring. Although the applications are diversified, effective and significant, the implementation is hindered by key challenges like data privacy concerns, cybersecurity risks, rural infrastructure limitations and the need for explainable AI models to develop trust and reliability and addressing these issues is critical for the adoption of IoMT in healthcare.
Impact of Digital Diversity in the Global Business Environment: With the Inclusion of AI Bhakti Parashar, Sandeep Kautish, Ravindra Sharma, Geeta Rana, Deepak Negi Achieving Organizational Diversity Equity and Inclusion with AI, 2025 In this chapter, the authors examine how artificial intelligence is transforming the business and other sectors, increasing efficiency, accuracy, and customer delight. AI is transforming industries around the world, delivering creative solutions that boost productivity, foster innovation, and push the boundaries of decision-making. Given the rapid development of AI, machine learning, and deep learning in recent years, it is believed that AI will fundamentally change the way we live and work. This paradigm may stand out in the future in terms of corporate diversity and inclusion. AI can detect potential bias and prejudice in decision-making by mimicking intelligent behavior, potentially eliminating tendencies and prejudices that may impede organizations' capacity to recruit diversely and inclusively. Although several entrepreneurs have been successful in using these technologies, most companies find it difficult to fully capitalize on the value-creation opportunities. This study looks at the impact of numerous technologies on the diverse global business environment.
Next-generation cybersecurity system in integration with Artificial Intelligence and blockchain Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Ravindra Sharma, Praveen Kumar Malik Smart Electronic Devices Artificial Intelligence Machine Learning and the Future, 2025 The Internet of Things (IoT) subsequently encourages the formation of value chains for handling data through the integration of techniques, commodities, services, software, and equipment spanning numerous industries and organizations. It is vital to perform research on next-generation IoT security frameworks and create cutting-edge integrity safeguards to deal with various IoT network attacks. Simultaneously, data security is becoming more sophisticated. Furthermore, with the rising popularity of social media, there has been a surge in online crime, sometimes known as cybercrime. Data security is critical in every aspect of information technology. As a consequence of substantial developments in cyber-physical systems (CPS) enabled by technologies such as cloud computing, edge computing, mobile computing, and the IoT. CPSs enable one-of-a-kind computer framework designs, as well as the integration of ubiquitously embedded sensors and communication services via better networking technologies. With an increasing reliance on real-life robots operating alongside humans, safeguarding them is becoming more vital to prevent cyberattacks that could end up in breaches of privacy, crucial treason, and physical harm. This article studies the technologies that are currently being used to safeguard the cybersecurity and how these technologies can be improved to meet the future challenges.
Application of Artificial Intelligence for the Success of Supply Chain Operations in the Age of Data Analytics Geeta Rana, Ravindra Sharma, Bhakti Parashar 2024 International Conference on Smart Devices Icsd 2024, 2024 The goal of artificial intelligence [AI] is to enable quick access to information and help users make wise decisions in the increasingly complicated digital world of today. Artificial intelligence [AI] has the power to completely transform the commercial world. Artificial intelligence can be used to better ship and manage logistics, forecast demand through data analysis, and spot supply chain inefficiencies. This lowers costs, shortens lead times, and enhances responsiveness to variations in demand. Surprisingly little is known about how data management may improve understanding of data on cycle time and supply chain sustainability, despite the growing use of data in decision-making. The majority of companies, according to the findings of the researchers, make use of big data analytics and artificial intelligence [AI] to make projections on the trajectory of the Supply Chain 4.0 industry. In this article, we take a look at how artificial intelligence can be applied to supply chain management [SCM] and analyze its potential applications. In this instance, a sample of 123 respondents from various SMEs were gathered for the study that followed. The study's objectives were determined using regression analysis, correlation analysis, case analysis, and descriptive analysis. Research demonstrates that artificial intelligence [AI] can help with inventory control, warehousing operations, enhancing security, and cutting operational expenses. The findings of the study indicated that, generally speaking, artificial intelligence will have a significant influence on the supply chain in the era of data analytics. It's expected to provide new opportunities for companies in a variety of sectors. Artificial intelligence [AI] can help both raise and decrease a product's strength and efficiency by predicting potential roadblocks before they arise. AI can also be used to find new opportunities and enhance connected device procedures.
Revitalizing talent management practices through technology integration in industry 4.0 Internet of Things and Businesses in A Disruptive Economy, 2020
Role of internet of things (IoT) in sustaining disruptive businesses Internet of Things and Businesses in A Disruptive Economy, 2020
Internet of things and businesses in a disruptive economy Internet of Things and Businesses in A Disruptive Economy, 2020
Contemporary issues of employer branding in India Innovations and Challenges in Human Resource Management for Hr4 0, 2020
Training needs identification and evaluating its effectiveness in India private sector Innovations and Challenges in Human Resource Management for Hr4 0, 2020
Innovations and challenges in human resource management for HR 4.0 Innovations and Challenges in Human Resource Management for Hr4 0, 2020
Preface Innovations and Challenges in Human Resource Management for Hr4 0, 2020
Utilizing Fractal Analysis and Machine Learning to Enhance Natural Disaster Prediction and Foster Resilient Smart City Development D Negi, R Sharma, G Rana, B Parashar Artificial Intelligence, Big Data, and Internet of Things for Sustainable … , 2026 2026
Poor Performance Management or Management Trick G Rana, R Sharma IMIB Journal of Innovation and Management 4 (1), 7-14 , 2026 2026
A Systematic Review on Emerging Technologies, Applications and Challenges in the Internet of Medical Things (IoMT) KA Mehavarnam, V Srividya, V Harish, R Sharma, G Rana 2025 5th International Conference on Internet of Things: Smart Innovation … , 2025 2025
Handbook of Business Analytics R Sharma, G Rana CRC Press , 2025 2025 Citations: 1
Foundation Concepts for Business Analytics V Harish, R Sharma, G Rana, B Parashar Handbook of Business Analytics, 1-33 , 2025 2025
Financial Inclusion Through Fintech: Bridging the Gap V Harish, R Sharma, A Karthik, G Rana, RD Balaji, R Kumar Sustainable Finance: Strategies and Tools to Manage Climate Risk, 87-109 , 2025 2025 Citations: 1
the Role of AI, IoT, and Blockchain in Overcoming Future Challenges V Harish, R Sharma, G Rana, B Parashar Sustainable Economy Models in the Age of Industry 5.0, 53 , 2025 2025
Computer Vision for Disease Detection—An Overview of How Computer Vision Techniques Can Be Used to Detect Diseases in Medical Images, Such as X‐Rays and MRIs R Sharma, N Kumar, V Sharma AI in Disease Detection: Advancements and Applications, 77-98 , 2025 2025 Citations: 14
Leveraging Digital Technologies for Circular Economy: Exploring the Role of AI, IoT, and Blockchain in Overcoming Future Challenges V Harish, R Sharma, G Rana, B Parashar Sustainable Economy Models in the Age of Industry 5.0, 53-72 , 2025 2025 Citations: 4
Impact of Digital Diversity in the Global Business Environment: With the Inclusion of AI B Parashar, S Kautish, R Sharma, G Rana, D Negi Achieving Organizational Diversity, Equity, and Inclusion with AI, 239-266 , 2025 2025
Application of Metaverse in Advertising:-Opportunities & Challenges B Parashar, S Kautish, V Parashar, R Sharma, G Rana Metaverse Driven Intelligent Information Systems: Emerging Trends and Future … , 2024 2024 Citations: 1
Impact of Financial Inclusion for Achieving Sustainable Development for Removing Poverty in all Forms: A Review Study from India G Rana, R Sharma, B Sharma E-Financial Strategies for Advancing Sustainable Development: Fostering … , 2024 2024 Citations: 4
6 Uncovering the Shifting Landscape V Harish, R Sharma Green Innovations for Industrial Development and Business Sustainability … , 2024 2024
Green Innovations for Industrial Development and Business Sustainability: Models and Implementation Strategies R Sharma, G Rana, S Agarwal CRC Press , 2024 2024 Citations: 3
Uncovering the shifting landscape: A comprehensive analysis of emerging trends and best practices adopted in green supply chain management V Harish, R Sharma Green Innovations for Industrial Development and Business Sustainability, 82-110 , 2024 2024 Citations: 2
Application of Artificial Intelligence for the Success of Supply Chain Operations in the Age of Data Analytics G Rana, R Sharma, B Parashar 2023 International Conference on Smart Devices (ICSD), 1-6 , 2024 2024 Citations: 5
Integration of Blockchain and the Internet of Things in Healthcare Sector R Singh, A Gehlot, SV Akram, R Sharma, PK Malik Sustainable Security Practices Using Blockchain, Quantum and Post-Quantum … , 2024 2024 Citations: 3
Lean Horizons: Overcoming Barriers And Embracing Enablers In Construction Industry Adoption R Sharma, V Harish, G Rana Migration Letters 21 (S7), 751-762 , 2024 2024
Leveraging Artificial Intelligence In Human Resource Management G Rana, R Sharma, D Negi, B Parashar Migration Letters 21 (S7), 675-678 , 2024 2024
INTENSIFY EMPLOYEE PERFORMANCE THROUGH EMPLOYER BRANDING: TALENT ATTRACTIVENESS IN IT INDUSTRY R SHARMA, G RANA INTERNATIONAL JOURNAL OF BUSINESS EXCELLENCE 1 (1) , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
Emerging human resource management practices in Industry 4.0 RS Geeta Rana Strategic HR Review 18 (4), 176-181. , 2019 2019 Citations: 229
Reinventing Manufacturing and Business Processes Through Artificial Intelligence G Rana, A Khang, R Sharma, AK Goel, AK Dubey CRC Press , 2021 2021 Citations: 180
A study to comprehend role of artificial intelligence in building smart cities P Rakshit, R Sharma Engineering and Technology Journal for Research and Innovation (ETJRI) ISSN … , 2021 2021 Citations: 131
Assessing Impact of Employer Branding on Job Engagement: A Study of Banking Sector R Sharma, G Rana Emerging Economy Studies 5 (1), 7-21 , 2019 2019 Citations: 52
Employer branding analytics and retention strategies for sustainable growth of organizations R Sharma, SP Singh, G Rana Understanding the role of business analytics: some applications, 189-205 , 2018 2018 Citations: 42
Foundation Concepts for Industry 4.0 B Parashar, R Sharma, G Rana, RD Balaji New Horizons for Industry 4.0 in Modern Business, 51-68 , 2023 2023 Citations: 41
Employer Branding for Competitive Advantage: Models and Implementation Strategies G Rana, S Agarwal, R Sharma CRC Press , 2021 2021 Citations: 39
Impact of Employer Branding on Job Engagement and Organizational Commitment in Indian IT Sector G Rana, R Sharma, SP Singh, V Jain International Journal of Risk and Contingency Management (IJRCM) 8 (3), 1-17 , 2019 2019 Citations: 34
Unraveling the power of talent analytics: Implications for enhancing business performance G Rana, R Sharma, AK Goel Business governance and society: Analyzing shifts, conflicts, and challenges … , 2018 2018 Citations: 34
Big Data Analytics and Businesses in Industry 4.0 R Sharma, AK Saini, G Rana Design Engineering, 238-252 , 2021 2021 Citations: 21
Internet of things enabled robot based smart room automation and localization system R Singh, G Anita, S Capoor, G Rana, R Sharma, S Agarwal Internet of Things and Big Data Analytics for Smart Generation, 105-133 , 2018 2018 Citations: 21
Role of Internet of Things (IoT) in Sustaining Disruptive Businesses C Prakash, R Sain, R Sharma Internet of Things and Businesses in a Disruptive Economy 1, 372 , 2021 2021 Citations: 19
Understanding the Role of Business Analytics H Chahal, J Jyoti, J Wirtz Springer , 2019 2019 Citations: 18
Indian health care system is ready to fight against covid-19 a machine learning tool for forecast the number of beds S Nagpal, VA Athavale, AK Saini, R Sharma 2020 Sixth International Conference on Parallel, Distributed and Grid … , 2020 2020 Citations: 17
Impact of Conflicts on Productivity at Workplace. B Parashar, R Sharma ICRMAT, 143-146 , 2020 2020 Citations: 15
Computer Vision for Disease Detection—An Overview of How Computer Vision Techniques Can Be Used to Detect Diseases in Medical Images, Such as X‐Rays and MRIs R Sharma, N Kumar, V Sharma AI in Disease Detection: Advancements and Applications, 77-98 , 2025 2025 Citations: 14
An overview of employer branding with special reference to Indian organizations S Rana, R Sharma Management Techniques for a Diverse and Cross-Cultural Workforce, 116-131 , 2018 2018 Citations: 14
The Impact of Employer Branding on Organizational commitment in Indian IT Sector R Sharma, V Jain, SP Singh Journal of Business and Management 20 (1), 49-54 , 2018 2018 Citations: 14
Organizational Culture as a Moderator of the Human Capital Creation-Effectiveness G Rana, R Sharma Global HRM Review 7 (5), 31-37 , 2017 2017 Citations: 14
Techno innovative tools for employer branding in industry 4.0 R Sharma, G Rana, S Agarwal Employer branding for competitive advantage, 171-180 , 2021 2021 Citations: 12
