Dr.K.D.Balaji

@srmist.edu.in

Assistant Professor, Management
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY

Dr.K.D.Balaji


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https://researchid.co/balajid69
Dr. K.D. Balaji is an Assistant Professor (SG) in Human Resources in the College of Management at SRM Institute of Science and Technology, Chennai, Tamil Nādu, India, with over the experience of more than 23 years in the field of teaching. He Pursued his Ph.D. from SRM University, Kattankulathur, Tamil Nādu, India. He holds a degree in Master of Business Administration in Human Resources and Marketing from University of Madras, Chennai and a Bachelor Degree in Mechanical Engineering from University of Madras, Chennai, Tamil Nādu, India. His keen interest in research developed in his initial days of education, fulfilling his dream of publishing and presenting more than 25 research articles in his expertise domain of Human Resource. He holds a credit of conducting FDP’s and MDP’s in the areas of Management. His achievements have proven his potential and keen interest in the future of research in various areas including Training and Development, Employee Engagement, Entrepreneurship.

EDUCATION

PhD Management
MBA HR MARKETING
B.E Mechanical

RESEARCH, TEACHING, or OTHER INTERESTS

General Business, Management and Accounting, Business and International Management, Marketing, Organizational Behavior and Human Resource Management
11

Scopus Publications

64

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Bridging Technostress and AI Adoption in HR: A Moderated Mediation Study of Behavioural Intention and Support
    Saladi Jaswanth Seshasai, Balaji K.D
    Asian Journal of Interdisciplinary Research, 2026
    The paper delves into the implications of various forms of technostress, i.e. complexity, insecurity, uncertainty, and overload, on the usage of AI-based recruitment systems in information technology firms. It also examines the mediating and moderating factors behind the relationship (behavioral intention and organizational support respectively). The information was gathered through snowball sampling technique and 273 useful answers were obtained. The required sample size was determined using a standard sample size determination formula. SPSS and the PROCESS macro were used to conduct the analysis, and the tests involved reliability, Exploratory Factor Analysis (EFA), descriptive statistics, mediation, and moderation analysis. The findings revealed that all the variables were reliable and were merged into seven valid factors. The results of mediation affirmed that behavioral intention is a significant predictor of the relationship between technostress and actual usage of AI systems. The moderation outcomes indicated that organizational support mitigates the adverse influence of technostress on actual usage. The study is of value to HR professionals and decision-makers. Better acceptance and utilization of AI tools can be observed in organizations where the support of the organization is enhanced and the stress of the employees related to the technology is minimized. Consequently, this may contribute to the ease of digitalization, enhanced hiring rates, and employee trust in AI-based procedures.
  • Integrating Technological, Organizational, and User factors in Predicting Implementation Success of Human Resource Information System: An Empirical Study in Indian Universities
    Journal of Logistics Informatics and Service Science, 2025
    Human Resource Information System (HRIS) is becoming crucial for improving administrative efficiency and workforce management in higher education.However, universities in developing contexts such as India still face challenges related to weak technological infrastructure, limited organizational readiness, and low user competency.This study proposes an integrated Predictive HRIS implementation framework by combining the Technology-Organization-Environment (TOE) model, TAM/UTAUT, and the Resource-Based View (RBV).Data from 187 HR and administrative professionals were analyzed using PLS-SEM, supported by Importance-Performance Map Analysis (IPMA) and PLSpredict for predictive validation.Results show that technological infrastructure ( = 0.41, p < 0.001), organizational readiness ( = 0.36, p < 0.001), and user competency ( = 0.33, p < 0.01) significantly boost HRIS effective implementation, while environmental pressure ( = 0.09, p > 0.05) remains non-significant.Mediation analysis further indicates that user competency partially mediates the relationship between technological infrastructure and HRIS implementation (indirect = 0.132, direct = 0.28, p < 0.01).The model explains 62% of the variance (R = 0.62) and emphasizes strong predictive relevance (Q = 0.027-0.223).The findings advance HRIS and digital transformation research by moving from descriptive to predictive, capability-based modeling and highlight the necessity to strengthen digital infrastructure, organizational readiness, and user competency to achieve sustainable digital transformation in universities.
  • The XAI Factor in the Age of AI: Does It Enhance AI Augmented Decision-Making Quality in HealthCare HR
    Revolutionizing Healthcare Services Unleashing Innovation Through Generative AI, 2025
  • From Technology Adoption to Digital Transformation How Institutional Trust and Digital Readiness Shape HRIS Success in Higher Education
    Journal of Logistics Informatics and Service Science, 2025
  • The Hidden Costs of Low Morale: How Unfilled Jobs and Staff Attrition Can Drain Your Business
    Saladi Jaswanth Seshasai, K. D. Balaji
    Innovative Recruitment and Retention for Employee Empowerment, 2024
    This research investigates the negative impacts of low employee morale on organizations, focusing on high turnover and vacant positions. It emphasizes the need for future research to compare morale-boosting efforts with the costs of turnover and vacancies. it identifying effective intervention strategies, measuring financial and non-financial effects, and analyzing external stakeholders' influence. Using a quantitative approach with a cross-sectional survey design, this study will collect data from 234 employees using survey instrument. Structural equation modeling (SEM), correlation, and regression analysis will be used to analyze the data. The expected outcomes of the study will provide insights into the relationships between various factors and employee morale. These findings will help organizational leaders understand and address the different factors influencing morale, ultimately fostering employee motivation and enhancing work environments. Future research should also explore global and culture-specific morale dynamics and incorporate new trends like remote employment.
  • Cavity Backed Self-Diplexing Antenna Using SIW Method For WLAN and C-band Applications
    A. Sai Vinay, P. Prabhu, N. Prudhvi Ganesh, K. Balaji
    Journal of Engineering Science and Technology Review, 2024
    This paper presents the design, development, and testing of a novel cavity backed self diplexing antenna using Substrate Integrated Waveguide (SIW) method with a plus shape, that provides self-diplexing functionality for dual-frequency communication applications.The antenna structure is designed using computer-aided design (CAD) software tool -HFSS and optimized for high performance characteristics, including gain, directivity, and radiation efficiency, at frequencies of 5.5 GHz and 6.2 GHz.The antenna's performance is simulated using a simulation software tool, and the fabricated antenna is tested using Vector Network Analyzer.The results demonstrate that the cavity backed self diplexing antenna using Substrate Integrated Waveguide (SIW) method with a Slot of plus shape provides high performance characteristics and self-diplexing functionality for dual-frequency communication applications.The antenna's performance is evaluated based on the design specifications and requirements, and compared with other existing antenna designs to demonstrate its superiority.The proposed antenna structure offers significant potential for dual-frequency communication applications in various fields, including radar, and satellite communication.
  • Retraction Notice: Management of Business Using Machine Learning for Decision Making (TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 DOI: 10.1109/TQCEBT59414.2024.10545116)
    Geetha Manoharan, P. Nithya Preetha, Nandhini. S, K. Santhanalakshmi, K.D. Balaji, Vijay Raja
    Tqcebt 2024 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024, 2024
    Businesses throughout the world are focusing on extracting more benefit from information gathered from different places. The goal of this investiagtion is to look at the main elements of machine learning (ML) for arriving at optimal economic decisions. Business management are today confronted with a massive amount of data that must be kept, examined, and recovered in order to arrive at successful decisions and gain a competitive benefit. ML is primarily concerned with managing business processes with little or no human participation. The ML approaches allow for the analysis and recognition of patterns in big data sets and offer the required data to business management for successful decision making in various sectors such as economics, advertising, logistics, human resources, etc.ML allows the shift from physically preserved information to digitally recorded information, allows increasing memory, and aids with economic decision-making among additional things. ML additionally allows the extraction of quality signals and predicting information from the dataset and stimulates development. The utilization of ML has become an essential tool that is being utilized in the present compatible sector, and it has provided additional possibilities for business management to leverage a great deal of information. This research is concentrated on tackling the utilization of ML in creating successful economical decision making for businesses management. To explore the role of ML in economical decision making, the project aims to gather information from staff, supervisors, and corporate executives in a variety of sectors.
  • Management of Business Using Machine Learning for Decision Making
    Geetha Manoharan, P. Nithya Preetha, Nandhini. S, K. Santhanalakshmi, K.D. Balaji, Vijay Raja
    Tqcebt 2024 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024, 2024
    Businesses throughout the world are focusing on extracting more benefit from information gathered from different places. The goal of this investiagtion is to look at the main elements of machine learning (ML) for arriving at optimal economic decisions. Business management are today confronted with a massive amount of data that must be kept, examined, and recovered in order to arrive at successful decisions and gain a competitive benefit. ML is primarily concerned with managing business processes with little or no human participation. The ML approaches allow for the analysis and recognition of patterns in big data sets and offer the required data to business management for successful decision making in various sectors such as economics, advertising, logistics, human resources, etc.ML allows the shift from physically preserved information to digitally recorded information, allows increasing memory, and aids with economic decision-making among additional things. ML additionally allows the extraction of quality signals and predicting information from the dataset and stimulates development. The utilization of ML has become an essential tool that is being utilized in the present compatible sector, and it has provided additional possibilities for business management to leverage a great deal of information. This research is concentrated on tackling the utilization of ML in creating successful economical decision making for businesses management. To explore the role of ML in economical decision making, the project aims to gather information from staff, supervisors, and corporate executives in a variety of sectors.
  • A study on various aspects of SMEs' orientation for corporate social responsibility
    Ali Albouti, K. D. Balaji
    Sustainability Green Management and Performance of Smes, 2023
    Today, being responsible and sustainable is essential to conducting business internationally. However, small and medium-sized firms (SMEs) have received less attention from academics and policymakers than huge multinational corporations. Recent studies have highlighted the significance of learning for SMEs to engage in corporate social responsibility (CSR), but there is still a lack of knowledge regarding how SMEs learning orientation affects their CSR as well as how development affects SMEs internationalization and performance. From a practical standpoint, it is particularly crucial to shed light on these dynamics because, in the majority of nations, SMEs account for a sizable portion of enterprises in terms of both number and employment. The current study makes a contribution by demonstrating how CSR affects various performance kinds in SMEs and how SMEs learning orientation affects their CSR. By shedding light on the causes and effects of CSR for SMEs, the study adds to the body of knowledge on responsibility, sustainability, and SME internationalization. The author explored a number of CSR-related subjects in this chapter, including need, problems and challenges, ideas, obligations to employees, and the environment. And the main headlines discussed the thorough investigation of CSR for SMEs and the introduction of several social concerns and SMEs-related policies. This chapter also includes several case studies from India for reference.
  • Determinants of training perception among direct-to-home (DTH) service providers in Chennai
    Journal of Advanced Research in Dynamical and Control Systems, 2018
  • Qualitative Vs quantitative training and development model: Evidence with pharmaceuticals sales force in Indian context
    International Journal of Pharmaceutical Sciences Review and Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • From Technology Adoption to Digital Transformation How Institutional Trust and Digital Readiness Shape HRIS Success in Higher Education
    A Albouti, KD Balaji
    Journal of Logistics, Informatics and Service Science 12 (10), 110-124 , 2025
    2025
    Citations: 1
  • “16 A Study on Various Aspects of SMEs’ Orientation for Corporate Social Responsibility Analytical Report’: Sustainability, Green Management, and Performance of SMEs
    AA Dr. K. D. Balaji
    Sustainability, Green Management, and Performance of SMEs 7, 24-27 , 2024
    2024
  • The Relationship Between Stress and Remote Working in Indian Information Technology
    Gokul Santhanam, Dr. K. D. Balaji
    International Journal of Professional Business Review, 8 (12), 1-12 , 2023
    2023
  • 16 A Study on Various Aspects of SMEs’ Orientation for Corporate Social Responsibility
    A Albouti, KD Balaji
    Sustainability, Green Management, and Performance of SMEs, 285 , 2023
    2023
    Citations: 3
  • A Systematic Literature Review of the effects of HRIS on Organizational Performance
    DKDBALI Abouti
    7th International Conference on Transform and thrive in an agile world 7 (1) , 2023
    2023
  • THE RELATIONSHIP BETWEEN STRESS AND REMOTE WORKING IN INDIAN INFORMATION TECHNOLOGY COMPANIES
    KDB Gokul Santhanam
    Intern. Journal of Profess. Bus. Review. 8 (3), 1-12 , 2023
    2023
    Citations: 6
  • Remote onboarding effectiveness in indian IT industry during the pandemic
    G Santhanam, KD Balaji
    International Journal of Professional Business Review: Int. J. Prof. Bus … , 2023
    2023
    Citations: 5
  • Use and challenges of HRIS in public organisations :A study based on Developing country
    AADKD Balaji
    Gradiva Review Journal 8 (12), 305-313 , 2022
    2022
    Citations: 4
  • A Study on Improving Students Performance and Motivation through an Instructional Assessment Under Meta-Cognitive Strategy
    SJSDKD Balaji
    Proceedings of International Conference on Management and Data Analytics. 2 … , 2022
    2022
  • Plug And Play New Joiners During Pandemic Times: Creating A Sense of Belongingness
    GSDKDBSZ Joseph
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS 13 (03), 1186–1190. , 2022
    2022
    Citations: 12
  • IS HRIS PLAYING A ROLE IN HRM TODAY?
    DKDB Ali Albouti1
    International Journal of Research Publication and Reviews 3 (7), pp 2964-2968, , 2022
    2022
    Citations: 1
  • A Study on Improvisation of Academic Performance and Decision-Making Ability through an Interactive Review Model
    DKDB saladi
    Specialusis Ugdymas, 1 (43), 6806-6813 , 2022
    2022
    Citations: 1
  • E Learnng is not easy reading during COVID:A Study focused on MBA students in India
    G santhanam Dr.K.D.Balaji srimathi jeeta joseph
    8 thPAN-IIM WORLD MANAGEMENT CONFERENCE 8 (1), 433-438 , 2021
    2021
  • Green HR in the Work from Home World: A Study Specific to Indian IT Industry
    G Santhanam, KD Balaji, S Pandey
    SGS-Engineering & Sciences 1 (01) , 2021
    2021
    Citations: 1
  • A Study of the Emotional Wellbeing of Service-Sector(Education) Employees Working 1097 from Home During Covid-19
    DKDB Mr.Rohan Thomas Jinu
    Second National Virtual Conference on Recent Advances in Technology … , 2021
    2021
  • Impact Of Long Term Work From Home On Work Culture & Employee Engagement: A Study Focused On Indian IT Companies
    DKD Gokul Santhanam
    Solid State Technology 63 (6), 13822-13831 , 2020
    2020
    Citations: 2
  • Effective Employee Training Programmes Signalling A Strategic Approach to Better Employee Satisfaction Transfer With Special Reference to Automobile Industries in Chennai City …
    B KD
    The Shodhganga@ INFLIBNET , 2020
    2020
  • A study among doctors towards antihypersensitive prescription practice in Chennai city,
    DPSSEP : Dr.K.D. Balaji, Dr.V.M. Shenbagaraman
    Journal of International Pharmaceutical Research 46 (3), 868-873 , 2019
    2019
  • Effective Employee Training Programmes Signalling A Strategic Approach to Better Employee Satisfaction Transfer With Special Reference to Automobile Industries in Chennai City …
    KD Balaji
    SRM UNIVERSITY , 2019
    2019
  • ANALYTICAL REPORT: CONSUMER BUYING BEHAVIOUR AND PURCHASING POWER
    DKSLDMVDKDBA Selakumar
    Archers and Elevators Publishing Houe 1, 1-66 , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Plug And Play New Joiners During Pandemic Times: Creating A Sense of Belongingness
    GSDKDBSZ Joseph
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS 13 (03), 1186–1190. , 2022
    2022
    Citations: 12
  • An empirical study on stress levels among software professionals in the city of Chennai, India
    DA Mohan, KD Balaji, TK Kumar
    Abhinav journal of research in commerce and management 2 (5), 33-40 , 2010
    2010
    Citations: 12
  • THE RELATIONSHIP BETWEEN STRESS AND REMOTE WORKING IN INDIAN INFORMATION TECHNOLOGY COMPANIES
    KDB Gokul Santhanam
    Intern. Journal of Profess. Bus. Review. 8 (3), 1-12 , 2023
    2023
    Citations: 6
  • “ A Study on Entrepreneurial Attitude among Final Year Engineering Students in Kancheepuram District, Tamil Nadu”
    KDB shenbagaram
    Indian Journal of Applied Research 3 (Issue 5), 441-443 , 2013
    2013
    Citations: 6
  • Remote onboarding effectiveness in indian IT industry during the pandemic
    G Santhanam, KD Balaji
    International Journal of Professional Business Review: Int. J. Prof. Bus … , 2023
    2023
    Citations: 5
  • Use and challenges of HRIS in public organisations :A study based on Developing country
    AADKD Balaji
    Gradiva Review Journal 8 (12), 305-313 , 2022
    2022
    Citations: 4
  • Leaders and Mangers: A Quality Perspective in the Corporate World
    G Ramanaiah
    Journal of Entrepreneurship and Management 1 (2), 41 , 2012
    2012
    Citations: 4
  • 16 A Study on Various Aspects of SMEs’ Orientation for Corporate Social Responsibility
    A Albouti, KD Balaji
    Sustainability, Green Management, and Performance of SMEs, 285 , 2023
    2023
    Citations: 3
  • Impact of Micro Finance among Self Help Groups in Fisheries (At North Chennai)
    KDB Vinoth
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 3
  • Impact Of Long Term Work From Home On Work Culture & Employee Engagement: A Study Focused On Indian IT Companies
    DKD Gokul Santhanam
    Solid State Technology 63 (6), 13822-13831 , 2020
    2020
    Citations: 2
  • “Determinants of Training Perception among Direct-to-Home (DTH) Service Providers in Chennai”
    sankaramoorthy K.D.Balaji
    Journal of Advanced Research in Dynamical and Control Systems 5 (05), 760-767 , 2018
    2018
    Citations: 2
  • From Technology Adoption to Digital Transformation How Institutional Trust and Digital Readiness Shape HRIS Success in Higher Education
    A Albouti, KD Balaji
    Journal of Logistics, Informatics and Service Science 12 (10), 110-124 , 2025
    2025
    Citations: 1
  • IS HRIS PLAYING A ROLE IN HRM TODAY?
    DKDB Ali Albouti1
    International Journal of Research Publication and Reviews 3 (7), pp 2964-2968, , 2022
    2022
    Citations: 1
  • A Study on Improvisation of Academic Performance and Decision-Making Ability through an Interactive Review Model
    DKDB saladi
    Specialusis Ugdymas, 1 (43), 6806-6813 , 2022
    2022
    Citations: 1
  • Green HR in the Work from Home World: A Study Specific to Indian IT Industry
    G Santhanam, KD Balaji, S Pandey
    SGS-Engineering & Sciences 1 (01) , 2021
    2021
    Citations: 1
  • Stress among women as entrepreneurs and home maker in Kancheepuram district, Tamilnadu, India
    KD Balaji, VM Shengaraman
    ZENITH International Journal of Multidisciplinary Research 3 (8), 51-58 , 2013
    2013
    Citations: 1
  • “16 A Study on Various Aspects of SMEs’ Orientation for Corporate Social Responsibility Analytical Report’: Sustainability, Green Management, and Performance of SMEs
    AA Dr. K. D. Balaji
    Sustainability, Green Management, and Performance of SMEs 7, 24-27 , 2024
    2024
  • The Relationship Between Stress and Remote Working in Indian Information Technology
    Gokul Santhanam, Dr. K. D. Balaji
    International Journal of Professional Business Review, 8 (12), 1-12 , 2023
    2023
  • A Systematic Literature Review of the effects of HRIS on Organizational Performance
    DKDBALI Abouti
    7th International Conference on Transform and thrive in an agile world 7 (1) , 2023
    2023
  • A Study on Improving Students Performance and Motivation through an Instructional Assessment Under Meta-Cognitive Strategy
    SJSDKD Balaji
    Proceedings of International Conference on Management and Data Analytics. 2 … , 2022
    2022

GRANT DETAILS

Funding Agency AICTE Training And Learning (ATAL) Academy 2021-2022 FDP on ROAD Sanctioned Amount FDP(Rs) 93000

CONSULTANCY

MDP Program
2020 Data analytics, Arra Associates
2020 Data analysis for business growth on
07-Aug-20 LinkedIn for Professional Growth and
Networking
26.09.2020 Conflict To Collaborate

Industry, Institute, or Organisation Collaboration

TED X Kattankulathur (2019, 2020, 2021)