Dr. Nalla Bala Kalyan

@svce.edu.in

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

https://researchid.co/drnallabala

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

Scopus Publications

219

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Application of Machine Learning Algorithms for Customer Segmentation in E-commerce Management
Rajyalaxmi M, C. Vijai, Kingshuk Srivastava, NallaBala Kalyan, B. Pravallika and Amit Dutt
IEEE
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.

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, and Punamkumar Hinge
IEEE
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.

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, and S Mahabub Basha
IEEE
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.

Jeopardy and arrival analysis of certain cement securities in India

RECENT SCHOLAR PUBLICATIONS

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

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

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

A STUDY ON CUSTOMER SENSITIVITY TOWARDS E-MARKETING
DNB Kalyan
Available at SSRN 2024

Various Dimensions of Personal and Professional Work Life Balance of Employees in Power Industry in India
NB Kalyan
2024

Overview of Financial Efficiency in India’s Power Sector
NB Kalyan
Saudi J Econ Fin 8 (10), 343-363 2024

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

Optimizing Lead Generation Strategies for Enhanced Performance in the Hospitality Sector in Tamil Nadu
T Sirisha, DNB Kalyan
Available at SSRN 4692538 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

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

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

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

FINANCIAL PERFORMANCE ANALYSIS IN CHEMICAL INDUSTRY TAMILNADU
NB Kalyan, MT Sirisha
Tamilnadu (December 17, 2022) 2022

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

Safety Measures for Employees Attitude towards Training and Development
MT Sirisha, NB Kalyan
Available at SSRN 4172804 2022

Employee Engagement in Power Transmission Market, India
T Sirisha, DNB Kalyan
India (July 25, 2022) 2022

Inventory management pattern of manufacturing sector in India
T Sirisha, DNB Kalyan
Available at SSRN 4165201 2022

QUALITY OF WORK LIFE BALANCE IN IT INDUSTRY, TAMIL NADU
MT Sirisha, NB Kalyan
International Journal Of All Research Writings 5 (1), 71-79 2022

A Pragmatic Study on Recruitment and Selection Process in Pharmaceuticals Industry, India
MT Sirisha, NB Kalyan
2022

Execution Evaluation of Select Mutual Funds in Banking Industry
T Sirisha, NB Kalyan
International Journal of Advances in Engineering and Management 4 (5), 359-375 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
Citations: 47

Micro, small and medium enterprises in the 21st century
NB Kumar, S Gugloth
ZENITH International Journal of Business Economics and Management Research 2 2012
Citations: 31

A study on risk & return analysis of selected securities in India
P Subramanyam, NB Kalyan
International Journal of Engineering Technologies and Management Research 5 2018
Citations: 20

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
Citations: 16

Banking sector reforms in India
NB Kalyan
International Journal of Management and Humanities 4 (4), 13-18 2017
Citations: 14

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
Citations: 10

Inventory management pattern of steel industry in India
Y Maheswari, DNB Kalyan
Available at SSRN 3563991 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
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
Citations: 6

A study on employment trends in India
P Sudhakar, NBK Kumar, A Padmavathi
Economic Survey 35 (275.12), 100.00 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
Citations: 5

Employment and Unemployment in India
SG Nalla Bala Kalyan Kumar, Vasu Jalari
Bookman International Journal of Accounts, Economics & Business Management 1 2012
Citations: 4

A case study on benefits of quality of work life to employees and organizations in India
NB Kalyan, NN Kumar
IRE Journals 3 (6), 147-152 2019
Citations: 3

Features of Entrepreneurship in India
NB KALYAN
International Journal of Research 5 (01), 3752-3756 2018
Citations: 3

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
Citations: 2

Inventory management pattern of manufacturing sector in India
T Sirisha, DNB Kalyan
Available at SSRN 4165201 2022
Citations: 2

An Empirical Study on Development of MSME Sector in Chittoor District of Andhra Pradesh, India
DNB Kalyan
India (April 4, 2020) 2020
Citations: 2

Employee Performance Appraisal in Telecom Industry, India
DNB Kalyan, VR Pedirappagari
India (October 18, 2019) 2019
Citations: 2

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