Dr. Nalla Bala Kalyan

@svce.edu.in

Professor, Department of Management Studies , Sri Venkateswara College of Engineering, (Autonomous), Tirupati-517 507

Dr. Nalla Bala Kalyan


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Currently, Dr. Nalla Bala Kalyan is working as an Associate Professor in the Department of Management Studies at Sri Venkateswara College of Engineering, Tirupati, Andhra Pradesh, India. He holds a Doctorate in Finance from Sri Venkateswara University, Tirupati in the year 2014. He has 12 years of experience in research and teaching. Right now he is serving as a Ph.D. Supervisor of Jawaharlal Nehru Technological University, Anantapur. He is the author of more than 70 research papers published in various national & international journals with high Impact factors and citations, Top 10% of global authors of SSRN-Elsevier. He has attended more than 25 National and International conferences/seminars and presented papers that appeared in the proceedings (Book Chapters) published with ISBN and he has Authored & Edited 9 books. He has posted more than 15 guest articles in Magazines and Blogs.

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Organizational Behavior and Human Resource Management, Business and International Management, Finance
9

Scopus Publications

293

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Socio-Demographic Influences on Financial Literacy: An Analysis of Annamacharya University Students
    S Partha Sarathi, Nalla Bala Kalyan
    International Research Journal of Multidisciplinary Scope, 2025
    Financial literacy is an essential skill that enables individuals to make informed and effective financial decisions. It is a combination of financial skills, attitude and behaviour. This study examines the factors influencing the financial literacy of students at Annamacharya University, Rajampet, focusing on key socio-demographic elements such as gender, parents' education, and residential area, as well as basic and advanced financial literacy levels among students. Data were collected from 320 students through questionnaires and analysed using statistical methods, including percentage analysis, T-tests, and ANOVA (Analysis of Variance). The results revealed significant relationships between financial literacy and variables such as parents’ education, income of the family and family structure exposure to financial education. The study recommends incorporating specialized financial literacy programs into university curricula to enhance students' financial knowledge and practical skills. These findings are crucial for guiding policies aimed at improving financial preparedness and overall student well-being. Furthermore, the study highlights the importance of financial education in promoting financial stability and security among young adults. By providing students with the necessary financial knowledge and skills, universities can play a vital role in shaping their financial futures and promoting a more financially literate society. Additionally, the study suggests that policymakers and educators should work together to develop and implement effective financial literacy programs.
  • Data Protection and Privacy in HRM: Challenges and Solutions with Blockchain
    Ramesh R, P. Thamaraiselvi, Toopalli Sirisha, Nalla Bala Kalyan, Kawerinder Singh Sidhu, et al.
    2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
    Blockchain innovation offers a protected, decentralized stage for sharing and putting away representative information, which can be utilized to further develop information security in HRM. By precluding undesirable access, this jelly the protection of delicate information while empowering safe admittance to things like work history and individual identification.HR is crucial for any association since it enlists new representatives, yet it's not generally simple to find and recruit the best candidates. One great technique to get to know a possibility and go with an educated recruiting decision is to investigate their presentation surveys from their past organization. In spite of the fact that it isn't quite as direct or reliable as the customary methodology, HR generally demands input on the candidate's presentation surveys from his past business. The exhibition evaluation is one approach to inspect and survey a representative's work execution purposefully. This strategy could be exceptionally helpful to an association's HR division. Here, it'll inspect how a blockchain-based framework was utilized to survey a previous representative's presentation.
  • Smart Timetable Management Using IoT and Cloud Synchronization
    Nalla Bala Kalyan, Toopalli Sirisha, Ameer Asra Ahmed, Ketki Shirbavikar, Dipesh Uike, et al.
    Proceedings of International Conference on Digital Innovations for Sustainable Solutions Icdiss 2025, 2025
  • Next-Generation CRM: AI, IoT, and the Future of Customer Relationship Management
    Bandela Sathyavani, Nalla Bala Kalyan, Diwakar Reddy Peddinti, Karthick R, Varsha Bihade, et al.
    2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
    Customer relationship management helps an organisation for handling the customers and management of customer data to achieve healthy relationship with the customers. Integration of data from various sources including sales marketing and customer service applications. CRM is capable of storing enormous customer data for best better understanding of their customers for better understanding of the customers. Smart devices equipped with artificial intelligence and Internet of things serves as next generation CRM. It can be used as wearable devices for real time access of services and products related information anytime anywhere for getting the data of customers related to health indicator, activities, fitness details, location and purchase interest. Artificial intelligence, Internet of Things and machine learning are the future of customer relationship management to replace human intelligence. The advancements in technologies increase the efficiency of CRM software. The system manages the contact details and other data of the customers automatically. CRM manages the purchases, submissions of forms and emails. The trained model takes the collected data, sales records for pattern identification.
  • Application of Machine Learning Algorithms for Customer Segmentation in E-commerce Management
    Rajyalaxmi M, C. Vijai, Kingshuk Srivastava, NallaBala Kalyan, B. Pravallika, et al.
    Proceedings of 2024 International Conference on Science Technology Engineering and Management Icstem 2024, 2024
    Client segmentation is an essential component of e-commerce operations since it enables more effective marketing and a more satisfying experience for customers. Within the context of e-commerce platforms, this research investigates the functioning of machine literacy algorithms for effective client segmentation. Through the utilization of clustering methods and predictive models, such as k-means clustering, hierarchical clustering, and decision trees, our objective is to categorize guests according to their shopping behavior, demographics, and preferences. In addition, we investigate the incorporation of sophisticated machine literacy methods, such as ensemble styles and deep literacy infrastructures, to improve the delicateness and resilience of client segmentation models. We illustrate the efficacy of machine learningusing empirical evaluation and case studies. This enables us to relate different client components and adapt marketing strategies to fit the individual requirements of each client. In the context of e-commerce enterprises, our findings highlight the value of machine literacy-driven client segmentation in terms of optimizing marketing sweats, enhancing client retention, and maximizing profit.
  • AI and Quantum Networks for Efficient Supply Chain Management
    T. Sheeba, Rajshree Verma, Niranjan Sahoo, Monelli Ayyavaraiah, Nalla Bala Kalyan, et al.
    Multidisciplinary Applications of AI and Quantum Networking, 2024
    The combination of artificial intelligence (AI) with quantum networks has the potential to bring about a revolutionary change in the operation of force chains, bringing with it undiscovered advantages and the ability to foresee future events. The purpose of this investigation is to investigate the synergistic benefits that artificial intelligence and quantum networks can bring to the optimization of force chain operations. Examples of difficulties that are addressed include demand soothsaying, force operation, and logistics. The purpose of this research is to establish a robust framework that improves real-time decision-making and minimizes functional expenses. This will be accomplished by utilizing the machine literacy algorithms of artificial intelligence and the superior processing capacity of quantum computing. In order to highlight the real operations and benefits of this integration, the study takes a look at case stories from colorful diligence. In addition to this, it provides a balanced perspective on the implications of the technology by discussing the subtle difficulties.
  • Application of Internet of Things and Machine learning in improving supply chain financial risk management System
    Kafila, Nalla Bala Kalyan, Kamal Ahmad, Fakhruddin Rahi, Chetan Shelke, et al.
    Proceedings of 2023 IEEE 2nd International Conference on Industrial Electronics Developments and Applications Icidea 2023, 2023
    The incorporation of the Internet of Things (IoT) and machine learning (ML) methods has attracted significant interest in a variety of sectors in previous years. This article investigates the use of IoT and ML to improve supply chain financial (SCF) threat management. The supply chain is a complicated network with many key players, and financial threat management is important to its sustainability and success. IoT and ML possess inherent advantages in SCF due to their technology properties. They also have significant opportunities to build trust to solve big challenges in SCF, which aids financial development in the Tonkin Gulf area. This paper focuses on introducing the study on using Machine learning innovation in SCF in the Tonkin Gulf area and aims to offer suggestions on how supply chain finance could evolve there using Machine learning. This paper suggests supply chain finance game applications for pertinent investigations as well as blockchain innovation, supply chain banking threats assessment on the IoT and machine learning, and supply chain finance implementation study methodologies in the Tonkin Gulf region.
  • Application of Machine Learning Techniques for Decision Making Process in Human Resource Management
    C.Balarama Krishna, Meeta Joshi, K. Sathesh Kumar, Nalla Bala Kalyan, Shivani Bhardwaj, et al.
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
    The strategic alignment between organisational objectives and human resource management is stronger in contemporary organizations. As deep learning methods and machine learning solutions play a larger role in managing human resource management operations, organizations are focusing on more applicable sets of solutions. Models based on machine learning are now making progress in a variety of HRM-related fields. Machine learning is being used in human resource management to anticipate who will remain and who will depart the company, as well as to gauge workers' interest in their specific organisation.Data scraping methods are used to extract the data, which is then saved in CSV format. With the aid of ML algorithms, the many characteristics in the data acquired using this method may be used to make predictions. The management may develop a strategy to keep a deserving person in the organization by using the analysis to draw conclusions about who will remain or depart the company.We used a variety of methods in our investigation, including feature scaling and SMOTE. The recommended techniques, such as random forest and XG boost classifier, are supported by the findings. We'll arrive to a judgment based on the accuracy rate (%) numbers for the results generated by the offered approaches.
  • Jeopardy and arrival analysis of certain cement securities in India
    International Journal of Advanced Science and Technology, 2020

RECENT SCHOLAR PUBLICATIONS

  • " The Capability Gap: A Maturity Model for Assessing Strategic Readiness for Industry 4.0 in SMEs.
    NB Kalyan, T Sirisha
    2026
  • Smart Timetable Management Using IoT and Cloud Synchronization
    NB Kalyan, T Sirisha, AA Ahmed, K Shirbavikar, D Uike
    2025 International Conference on Digital Innovations for Sustainable … , 2025
    2025
  • Data protection and privacy in hrm: Challenges and solutions with blockchain
    R Ramesh, P Thamaraiselvi, T Sirisha, NB Kalyan, KS Sidhu, SJ Begum
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 1
  • Next-Generation CRM: AI, IoT, and the Future of Customer Relationship Management
    B Sathyavani, NB Kalyan, DR Peddinti, V Bihade, A Tiwari
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 3
  • Socio-Demographic Influences on Financial Literacy: An Analysis of Annamacharya University Students
    SP Sarathi, NB Kalyan
    International Research Journal of Multidisciplinary Scope 6 (2), 544-552 , 2025
    2025
    Citations: 2
  • AI and Quantum Networks for Efficient Supply Chain Management
    T Sheeba, R Verma, N Sahoo, M Ayyavaraiah, NB Kalyan, P Sharma
    Multidisciplinary Applications of AI and Quantum Networking, 309-328 , 2025
    2025
    Citations: 1
  • Improving Retail Industry Inventory Management Using Machine Learning
    KK Ramachandran, KK Karthick, NB Kalyan, M Tiwari, GS Raju, ...
    Recent Technological Advances in Engineering and Management, 137-141 , 2024
    2024
  • Application of machine learning algorithms for customer segmentation in e-commerce management
    M Rajyalaxmi, C Vijai, K Srivastava, NB Kalyan, B Pravallika, A Dutt
    2024 International Conference on Science Technology Engineering and … , 2024
    2024
    Citations: 4
  • A Study on Customer Sensitivity Towards E-marketing
    DNB Kalyan
    Available at SSRN 4722486 , 2024
    2024
  • Various Dimensions of Personal and Professional Work Life Balance of Employees in Power Industry in India
    NB Kalyan
    EAST AFRICAN SCHOLARS JOURNAL OF ECONOMICS, BUSINESS AND MANAGEMENT … , 2024
    2024
  • Overview of Financial Efficiency in India’s Power Sector
    N Kalyan
    Saudi Journal of Economics and Finance 8 (10), 343-363 , 2024
    2024
    Citations: 1
  • An Examination of the Effectiveness of Various Performance Appraisal Objectives in the Indian Mining Industry
    NB Kalyan
    homepage: https://saspublishers. com/ 10 (8), 148-163 , 2024
    2024
  • Optimizing Lead Generation Strategies for Enhanced Performance in the Hospitality Sector in Tamil Nadu
    T Sirisha, DNB Kalyan
    Available at SSRN 4692538 , 2024
    2024
  • Application of machine learning techniques for decision making process in human resource management
    CB Krishna, M Joshi, KS Kumar, NB Kalyan, S Bhardwaj, P Hinge
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023
    Citations: 3
  • Examining Women Entrepreneurs' Attitude Towards Informal Funding Sources and Their Empowerment in Tamil Nadu: An SEM Analysis
    T Sirisha, NB Kalyan
    IUP Journal of Entrepreneurship Development 20 (4), 59-71 , 2023
    2023
  • Application of Internet of Things and Machine learning in improving supply chain financial risk management System
    NB Kalyan, K Ahmad, F Rahi, C Shelke, SM Basha
    2023 IEEE 2nd International Conference on Industrial Electronics … , 2023
    2023
    Citations: 37
  • A study on customer satisfaction towards dairy products in the dairy industry in India
    T Sirisha, NB Kalyan
    A study on customer satisfaction towards dairy products in the dairy … , 2023
    2023
    Citations: 3
  • FINANCIAL PERFORMANCE ANALYSIS IN CHEMICAL INDUSTRY TAMILNADU
    NB Kalyan, MT Sirisha
    Tamilnadu (December 17, 2022) , 2022
    2022
    Citations: 2
  • Inventory Control of Large-Scale Multi-Item System with Minimum Quantity Constraint: An Analysis of TIDC India.
    T Sirisha, NB Kalyan
    IUP Journal of Operations Management 21 (3) , 2022
    2022
    Citations: 2
  • Safety Measures for Employees Attitude towards Training and Development
    T Sirisha, DNB Kalyan
    Available at SSRN 4172804 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Competitive Performance of Micro, Small and Medium Enterprises in India
    NBK Kumar
    Asia Pacific Journal of Social Sciences. 3 (1), 128-146 , 2011
    2011
    Citations: 53
  • Application of Internet of Things and Machine learning in improving supply chain financial risk management System
    NB Kalyan, K Ahmad, F Rahi, C Shelke, SM Basha
    2023 IEEE 2nd International Conference on Industrial Electronics … , 2023
    2023
    Citations: 37
  • Micro, small and medium enterprises in the 21st century
    NB Kumar, S Gugloth
    ZENITH International Journal of Business Economics and Management Research 2 … , 2012
    2012
    Citations: 31
  • A study on risk & return analysis of selected securities in India
    NB Kalyan
    2018
    Citations: 24
  • A comparative study on risk & return analysis of selected stocks in India
    S Gautami, NB Kalyan
    International Journal of Management and Economics Invention 4 (5), 1730-1736 , 2018
    2018
    Citations: 16
  • Banking sector reforms in India
    NB Kalyan
    International Journal of Management and Humanities 4 (4), 13-18 , 2017
    2017
    Citations: 16
  • A study on risk & return analysis of the selected mutual funds schemes in India
    NB Kalyan, S Gautami
    International Journal of Research in Social Sciences 8 (5), 212-221 , 2018
    2018
    Citations: 13
  • Inventory management pattern of steel industry in India
    Y Maheswari, DNB Kalyan
    Available at SSRN 3563991 , 2020
    2020
    Citations: 9
  • Sickness of micro, small and medium enterprises in India
    S Gugloth, NBK Kumar
    International Journal of Business, Management & Economic Research 2 (6), 345-351 , 2011
    2011
    Citations: 9
  • Evaluation of portfolio analysis on selected securities of NSE in India
    NB Kalyan, SMD Salman
    International Journal of Applied Engineering Research 14 (4), 859-868 , 2019
    2019
    Citations: 6
  • A Study on Digital Financial Literacy of Households of Kadapa, Andhra Pradesh
    MSP Sarathi, NB Kalyan
    International Journal of Advances in Engineering and Management (IJAEM) 4 (2 … , 2022
    2022
    Citations: 5
  • Employment and Unemployment in India
    SG Nalla Bala Kalyan Kumar, Vasu Jalari
    Bookman International Journal of Accounts, Economics & Business Management 1 … , 2012
    2012
    Citations: 5
  • Marketing Strategies and Problems of Micro, Small and Medium Enterprises in Andhra Pradesh
    S Gugloth, NK Kumar
    International Journal’s, research Journal of Economics and Business Studies … , 2011
    2011
    Citations: 5
  • Application of machine learning algorithms for customer segmentation in e-commerce management
    M Rajyalaxmi, C Vijai, K Srivastava, NB Kalyan, B Pravallika, A Dutt
    2024 International Conference on Science Technology Engineering and … , 2024
    2024
    Citations: 4
  • Inventory management pattern of manufacturing sector in India
    T Sirisha, DNB Kalyan
    Available at SSRN 4165201 , 2022
    2022
    Citations: 4
  • A study on employment trends in India
    P Sudhakar, NBK Kumar, A Padmavathi
    Economic Survey 35 (275.12), 100.00 , 2012
    2012
    Citations: 4
  • Next-Generation CRM: AI, IoT, and the Future of Customer Relationship Management
    B Sathyavani, NB Kalyan, DR Peddinti, V Bihade, A Tiwari
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 3
  • Application of machine learning techniques for decision making process in human resource management
    CB Krishna, M Joshi, KS Kumar, NB Kalyan, S Bhardwaj, P Hinge
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023
    Citations: 3
  • A study on customer satisfaction towards dairy products in the dairy industry in India
    T Sirisha, NB Kalyan
    A study on customer satisfaction towards dairy products in the dairy … , 2023
    2023
    Citations: 3
  • An Empirical Study on Development of MSME Sector in Chittoor District of Andhra Pradesh, India
    DNB Kalyan
    India (April 4, 2020) , 2020
    2020
    Citations: 3

Publications

1. Title of the Invention “Management System for Business Rules and Methods Thereof”, Application Number-202241038272, Issue No. 27/2022, Publication Date: 08/07/2022
2. Title of the Invention “A System for Developing Continuous Performance and Method of Operating the Same”, Application Number- 202341045191, Publication Date: 01/09/2023
3. Title of the Invention “Flash Light Enabled Laptop with a Storage Compartment”, Application Number: 388510-001, Design Accepted and Published, Journal No is 37/2023 and Journal Date is 15/09/2023

GRANT DETAILS

1. Organized “Three Day Entrepreneurship Awareness Camp,” Funded by EDI/DST-NIMAT Project 2016 &17, Held on 20 to 22 September 2016.
2. Organized “Three Day Entrepreneurship Awareness Camp,” Funded by EDI/DST-NIMAT Project 2018 &19, Held on 8-10 of August 2018.

CONSULTANCY

1.Organized DST-NIMAT Project "Facilitation Workshop," on 19th, December 2018, Sponsored by NSTEDB, DST, Govt. of India – Program Convener
2.Organized SAMBHAV "E-National Level Awareness Program," (NLAP) On Entrepreneurship, Sponsored by NI-MSME (Ministry of MSME, Govt. of India).
3.Organized "IPR awareness/training program," under the “National Intellectual Property Awareness Mission (NIPAM)” at Sri Venkateswara College of Engineering, Tirupati on 01/03/2023.
4.Organized National Webinar on Financial Empowerment and Career Opportunities in the Financial and Securities Market, Collaboration with Association of Mutual Funds in India (AMFI), held on 12-06-2023
5.Organized National Webinar on “Current Trends in Capital Markets and Due Diligence in Investing in Securities Markets” held on 12-07-2023, in Collaboration with Central Depository Services Limited (CDSL), Mumbai
6.Organized National Webinar on “A Five Days Online Training Program on Overview of Capital Market” Collaboration with Bombay Stock Exchange Brokers' Forum (BBF) Mumbai, Maharashtra, India, held on 4th December to 8th December 2023.
7.Organized National Webinar on “Demystifying Intellectual Property for Academic Research & Innovation” on 7th -September, 2023 at 10.30 am, Collaboration with National Research Development Corporation (NRDC) (An Enterprise of DSIR, Ministry of Science & Technology, Govt. of India)

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Memberships:
1.Lifetime Member of (MTC GLOBAL) Management Teachers Consortium-Global, Bangalore, Karnataka, Indian, Registration No: MTCG/M/L2019/05/14, Registered with NITI Aayog, Government of India
2.Fellow Member of (SASS) Scholars Academic & Scientific Society, Assam, India, Registered under Society Registration Act XXI of 1860, India, Fellow ship No: SAS/FSASS-45
3.Fellow Member of (IARA) Indian Academic Researchers Association, India, Fellowship No: F126/2018
4.Lifetime Member of (InSc) Institute of Scholars, Membership ID: INSC20180344, Bangalore, India
5.Fellow Member of (ISROSET) International Scientific Research Organization for Science, Engineering and Technology, Fellowship No: ISROSET-FM-1063
6.Eminent Fellow Member of Scholars Academic and Scientific Society (SASS), Assam- 782439, India, Membership ID: SAS/SEFM/001/2021