DR. NEENA PC

@bschool.cms.ac.in

Associate Professor
FMS, CMS Business School, Jain(deemed to be University)

DR. NEENA PC


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https://researchid.co/neenapc

RESEARCH, TEACHING, or OTHER INTERESTS

Organizational Behavior and Human Resource Management, Organizational Behavior and Human Resource Management, Organizational Behavior and Human Resource Management, Organizational Behavior and Human Resource Management
11

Scopus Publications

144

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Multimodal Cognitive Mapping Framework for Context-Aware Figurative Language Understanding
    R. Swathi Gudipati, Neena PC, K. Ezhilmathi, M. Durairaj, S. Farhad, Elangovan Muniyandy, Padmashree V
    International Journal of Advanced Computer Science and Applications, 2025
    Learning figurative language, including idioms, metaphors, and similes, remains challenging due to subtle cultural, contextual, and multimodal cues that cannot be inferred from literal meanings alone. Traditional unimodal and text-only approaches, such as CLS-BERT, LaBSE, and mUSE, often fail to capture these deeper semantic patterns, resulting in reduced accuracy and limited cultural generalization. This study introduces a context-aware multimodal learning framework that integrates textual embeddings from a Graph-Enhanced Transformer (HCGT) with visual embeddings from CLIP, fused through a graph-based cross-modal attention mechanism, and refined using a cognitive mapping layer. This architecture models human-like semantic reasoning by aligning literal and figurative senses across modalities while maintaining conceptual structure through graph-driven representation learning. Experiments conducted on idiom, metaphor, simile, and multimodal meme datasets include preprocessing steps such as text cleaning, tokenization, image normalization, and label standardization. The framework achieves an accuracy of 90%, surpassing state-of-the-art text-only transformer baselines by 3–4%. Explainable AI tools, including attention heatmaps and SHAP values, validate the interpretability of the model by highlighting influential textual tokens and visual regions. The results confirm that integrating multimodal embeddings with cognitive mapping substantially enhances performance, interpretability, and cultural sensitivity in figurative language understanding.
  • The Role of Artificial Intelligence in Improving Process Efficiency
    P. Selvakumar, Sathi Jyothirmaye Reddy, Sudhanshu Chandra, Ranjna, P. C. Neena, Mohit Sharma, T. C. Manjunath
    Navigating Digital Transformation Through Business Process Management, 2025
    Datasets that recognize patterns have found applications in supply chain management, customer service, manufacturing, marketing, finance, healthcare, and many other sectors. The implementation of AI can lead to a wide range of benefits, including cost reduction, time savings, improved accuracy, and better resource allocation. Opportunities Presented by AI in Enhancing Process Efficiency: Automation of Repetitive Tasks: well-known applications AI technologies time-consuming high consistency. For example, in administrative functions, handle document management, email filtering, and complex and creative work. Similarly, in manufacturing, robots equipped with AI inspection and packaging improve speed and accuracy. Data-Driven Decision Making: allowing better algorithms, uncovering structured and unstructured data, predicting future trends, and making informed decisions that enhance operational efficiency. This requires investment in training programs and a strategic approach to managing the transition to ensure that employees remain valuable assets in an AI-driven environment.
  • Analyze the factors that contributed to their success and lessons learned
    Shiney Chib, M. Karthigeyan, Falguni Sanjay Pawar, P. Selvakumar, T. C. Manjunath, P. C. Neena, Mohit Sharma
    Crowdfunding and Alternative Financing Models for Women Entrepreneurs, 2025
    Success analysis is a comprehensive approach that delves into the multifaceted factors driving achievement across various domains, including personal development, education, career, and entrepreneurship. Understanding success is not merely about defining it; It requires examining the intricate web of influences that contribute to an individual's or organization's ability to reach their goals. in the face of setbacks. This resilience is often correlated with higher levels of achievement, as those with a growth mindset are inclined to embrace effort, seek feedback, and cultivate their skills continuously. Conversely, those with a fixed mindset may avoid challenges, fearing failure and consequently limiting their potential for growth. Another critical component is goal setting. Clear, achievable goals provide a roadmap for success. Research shows that individuals who set specific goals are more likely to achieve them compared to those with vague aspirations. This process involves not only identifying what one wants to achieve but also breaking down the steps necessary.
  • Social and emotional learning in undergraduate teacher education programs
    P. Selvakumar, Shaifali Garg, Naresh Babu Karunakaran, P. C. Neena, Sandeep Gupta, T. C. Manjunath
    Supporting Cultural Differences Through Literacy Education, 2025
    The importance of SEL in education can be traced to its profound impact on student outcomes. Research consistently shows that SEL contributes to improved academic performance, reduced behavioral issues, and enhanced mental health among students. Educators equipped with SEL skills can create supportive learning environments that promote student engagement and resilience. In teacher preparation, the integration of SEL involves both theoretical knowledge and practical application. Courses focused on SEL can equip aspiring teachers with strategies for fostering a positive classroom environment, teaching conflict resolution, and promoting inclusive practices that recognize the diverse backgrounds and experiences of their students. Moreover, the implementation of SEL in teacher education goes beyond individual courses; it requires a systemic approach that permeates all aspects of teacher training. This can include experiential learning opportunities, such as internships and practicums, where future teachers can practice SEL skills in real classroom settings.
  • Digital Transformation of HR Functional Area
    Emerging Digitalization Trends in Business and Management A Roadmap to Industry 5 0, 2025
  • Embracing the Digital Shift—A Study on Modern E-Recruitment Methods
    P.C. Neena, Isani Gazalabanu Abdul Gafar, Minerva Das
    Applied Research for Growth Innovation and Sustainable Impact, 2025
    Recruitment means the process of attracting, selecting and appointing the most suitable person for the right job, both permanent and temporary in an organization. Recruitment also applies to the selection processes of the unpaid positions. Recruiting can be done by the managers, generalists in the human resources department, and recruiting specialist; however, internal or external employees, public employment, for-profit recruitment firms or agencies, and search consultancies for a special recruitment service on particular aspects of the process. In the present-day usage, artificial intelligence is used in web applications that assist with all the processes of recruitment. Consequently, this is an experimental study in the framework of Second Age multinational organizations functioning in India to assess the significant of online recruitment and the Internet in total opinion of the total recruitment process. Large firms with operations in India have been employed in this study as the population based on their engagement in online recruitment practices.
  • Addressing attrition in the Indian IT industry: Evaluating the efficacy of a motivation and engagement model
    Abhishek Narasimha, P. C. Neena
    Multidisciplinary Reviews, 2024
    This study traces the development of the Indian IT sector from TCS's founding in 1967 to its emergence as a multibillion-dollar sector in 2023. Many IT firms were set up in India after the establishment of the firm TCS with Tier 1 and Tier 2 categories, based on their size, revenue, and other factors., etc. Analyzed are two of the issues of the IT sector: a high attrition rate and low employee engagement. The reasons behind these are identified, and a methodology is created to raise employee satisfaction and lower the attrition rate in the Indian IT industry. News articles in publications including Times of India, Hindustan Times, Deccan Herald, Economic Times, and LiveMint provided information about the Indian IT industry. Google Scholar provided keywords such as "Indian IT Sector," "Employee Motivation," "Employee Engagement," "Job Satisfaction," and "Attrition." For every keyword searched from 1980 to 2022, the top 20 referenced papers were found. A total of 77 publications were reviewed, and their abstracts were examined to determine their applicability to the study question. Additionally, a number of OB and HRM textbooks were searched for information about the keywords. Definitions of motivation, employee engagement, job satisfaction, and attrition rate that are pertinent to the research study are created from a systematic literature analysis, giving these concepts more conceptual clarity. A model that connects attrition rate, job satisfaction, employee engagement, and motivation is built. Theoretical inferences of the model are examined, including the inclusion of individual characteristics, organisational commitment, and turnover intentions. The model's practical implications, such as its application in the business world and in nations with different cultural norms, are examined. Lastly, a discussion of the study's limitations is included, as the model was created using a limited number of variables.
  • Navigating the modern selection process: Exploring the new realm of cognitive and behavioral assessment
    Neena P. C., Lakshmi Sevukamoorthy
    Cognitive Behavioral Neuroscience in Organizational Settings, 2024
    The world of talent acquisition is always uncertain and dynamic as the firms will need a strategy to attract and retain talent. In this scenario, Gamified assessments have emerged as innovative facets to assess an individual's performance on aptitude and trainable skills. Game-based assessments play a crucial role in predicting employee performance. This study on Gamified assessments outlines the methodology of assessing the cognitive, affective, and behavioral outcomes of an individual on the renowned guiding theories, where the features of the assessments are based on motivational and cognitive theories. In this research, the authors devised a model ‘NL -24 LearnWare' gamification assessment on twenty-four dimensions of cognitive, affective, and behavioural learning theories. The authors using this model have also explored how gamified assessments influence the selection of cohorts to analyze the differences between the old and the modern trends of assessments.
  • Emotional intelligence and interpersonal dynamics in the workplace: Importance of psychological contract
    , Neena Chandramohan, Abraham Varughese, and
    Organizatsionnaya Psikhologiya, 2024
    Purpose. The purpose of the study is to identify which factors of the psychological contract contributes to the attrition level in the service and manufacturing sectors. The degree of psychological contract observed in the firms and its fluctuating degree is examined empirically in this study based on the influence of the external factors. There is evidence that the employees and the employers will notbe able to sustain with same degree of the psychological contract as they work as two entities in the organization. The businesses which are successful undoubtedly had a strong ‘Relational Psychological Contract’ that enabled them to gain competitive edge in the market. Study design. This research was conducted in two stages, case study analysis, and primary data analysis. In case study analysis, twenty fivefirms were selected of which eight were from manufacturing and seventeen from the service industry. The case study method helped to explore the employee-employer relationship. A broad-level study was conducted using a structured questionnaire in which 393 were considered for analysis.There is exploratory study with the structural equation modelling analysis done with the confirmatory factor analysis. Findings. The analysis of confirmatory factor model of structural equation modelling showed a ‘Psychological Dissonance’ between employees and employers and the negative covariance of the variables of the confirmatory factor analysis shows that the respondents have a commitment to the employers as employees but are not emotionally linked. The relationship is shrunk to a level of delivery tasks for remuneration. This leads to higher attrition rate in the service sector, comparing to the manufacturing sector among the employees with less experience which is proven in the study. Research limitations. The research limitations are the attrition data to collect from various firms as it is a negative outcome in any organization. Value of the results. The value of the results is genuine with the primary data collected from the respondents (both employers and employees of the firms) which the author could get access.
  • AI-powered Performance Management: Driving Employee Success and Organizational Growth
    G Madhumita, P. Dolly Diana, Neena PC, P B Narendra Kiran, Swati Aggarwal, Amarja Satish Nargunde
    5th International Conference on Recent Trends in Computer Science and Technology Icrtcst 2024 Proceedings, 2024
    As organizations navigate the dynamic landscape of the modern workplace, the need for effective performance management becomes increasingly critical. Traditional performance management systems often fall short in providing real-time insights, personalized feedback, and data-driven decision-making. This research explores the integration of artificial intelligence (AI) into performance management practices as a transformative approach to enhance employee success and fuel organizational growth. The advent of AI technologies has ushered in a new era in which data analytics, machine learning, and natural language processing can be harnessed to optimize performance management processes. This research reviews the current challenges in traditional performance management, such as subjectivity, infrequent feedback, and reliance on past data. It then delves into the ways AI can address these challenges by offering continuous monitoring, predictive analytics, and personalized recommendations. The role of AI in performance management extends beyond mere efficiency improvements. By leveraging AI algorithms, organizations can gain deeper insights into employee strengths, weaknesses, and potential areas for development. Furthermore, the paper explores the impact of AI-powered performance management on employee engagement and motivation. The potential benefits extend to talent retention and attraction, as employees thrive in an ecosystem that values their contributions and supports their professional growth. In conclusion, this paper advocates for the integration of AI into performance management as a strategic initiative for organizations aiming to stay competitive in the evolving business landscape. AI-powered performance management systems have the potential to revolutionize the way organizations nurture talent, drive employee success, and ultimately achieve sustainable organizational growth. The insights presented in this research serve as a guide for organizations seeking to harness the transformative power of AI in their pursuit of excellence in performance management.
  • Mental Health and Psychological Reattachment in Adolescent Emigrants: A Longitudinal Study
    Journal for Reattach Therapy and Developmental Diversities, 2023

RECENT SCHOLAR PUBLICATIONS

  • The Role of Artificial Intelligence in Improving Process Efficiency
    P Selvakumar, SJ Reddy, S Chandra, PC Neena, M Sharma, ...
    Navigating Digital Transformation Through Business Process Management, 335-364 , 2026
    2026
  • Multimodal Cognitive Mapping Framework for Context-Aware Figurative Language Understanding.
    RS Gudipati, N PC, K Ezhilmathi, M Durairaj, S Farhad, E Muniyandy
    International Journal of Advanced Computer Science & Applications 16 (11) , 2025
    2025
  • Embracing the Digital Shift—A Study on Modern E-Recruitment Methods
    IGAGMD Neena P.C.
    Book Applied Research for Growth, Innovation and Sustainable Impact , 2025
    2025
  • Digital Transformation of HR Functional Area
    PC Neena, D Dey
    Emerging Digitalization Trends in Business and Management, 235-258 , 2025
    2025
  • Overview of Gig Workers' Challenges and Benefits for Sustainable Gig Economy
    VABRR Neena P C
    INTERNATIONAL MANAGEMENT PERSPECTIVE CONFERENCE (IMPeC-25) Digitalization … , 2025
    2025
  • SOCIAL SECURITY CONCERNS IN THE GIG ECONOMY
    N P C
    Short Cases on Multidisciplinary Practices, 119-125 , 2025
    2025
  • Analyze the Factors that Contributed to Their Success and Lessons Learned
    S Chib, M Karthigeyan, FS Pawar, P Selvakumar, TC Manjunath, ...
    Crowdfunding and Alternative Financing Models for Women Entrepreneurs, 35-64 , 2025
    2025
    Citations: 2
  • Social and Emotional Learning in Undergraduate Teacher Education Programs
    P Selvakumar, S Garg, NB Karunakaran, PC Neena, S Gupta, ...
    Supporting Cultural Differences Through Literacy Education, 21-48 , 2025
    2025
    Citations: 1
  • ORGANIZATIONAL PSYCHOLOGY
    N PC, A VARUGHESE
    2024
  • The Impact Of Digital Libraries On Consumer Behavior And Decision-Making In Online Commerce.
    M Nalini, A Venkteshwar, N PC
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
  • COMPARATIVE ANALYSIS BETWEEN PERCEPTIONS OF B-SCHOOL STUDENTS & ALUMNI ON SOFT SKILLS TRAINING IN ENHANCING EMPLOYABILITY COMPETENCY
    SK AV, PC Neena
    2024
  • Experiential Learning & Student Engagement in Business Management Education
    PC Neena, N Dinesh
    Current Educational Research 7 (1) , 2024
    2024
  • AI-powered performance management: Driving employee success and organizational growth
    G Madhumita, PD Diana, Neena PC, PBN Kiran, S Aggarwal, ...
    2024 5th international conference on recent trends in computer science and … , 2024
    2024
    Citations: 53
  • The Attrition in the Indian IT Industry–Effectiveness of the Model Developed to enhance Motivation and Engagement which Mitigates Attrition: Motivation & Employee Engagement
    A Narasimha, PC Neena
    Multidisciplinary Reviews , 2024
    2024
  • Emerging Digitalization Trends in Business and Management A Roadmap to Industry 5.0
    NP NEENA, Devpriya
    APPLE ACADEMIC PRESS , 2024
    2024
  • Emotional intelligence and interpersonal dynamics in the workplace: Importance of psychological contract
    N Pc, A Varughese
    Организационная психология 14 (2), 44-57 , 2024
    2024
    Citations: 1
  • Navigating the Modern Selection Process: Exploring the New Realm of Cognitive and Behavioral Assessment
    PC Neena, L Sevukamoorthy
    Cognitive Behavioral Neuroscience in Organizational Settings, 101-121 , 2024
    2024
  • Addressing attrition in the Indian IT industry: Evaluating the efficacy of a motivation and engagement model
    NANPC Dr
    Multidisciplinary Reviews 7 (8), 2024164 , 2024
    2024
  • Reimagining the Future of Business: The Challenges of Leadership, Digitalisation and Sustainability,
    NS NEENA PC, & MONOO JOHN
    https://journalpressindia.aflip.in/BIMTECH-PRISM2023-Proceedings#page/1 … , 2023
    2023
  • An overview of employee retention strategies & its impact on turnover of the employees
    PC Neena, VA Dinesh, N
    Journal of Contemporary Issues in Business and Government 29 (1), 520-530 , 2023
    2023
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • AI-powered performance management: Driving employee success and organizational growth
    G Madhumita, PD Diana, Neena PC, PBN Kiran, S Aggarwal, ...
    2024 5th international conference on recent trends in computer science and … , 2024
    2024
    Citations: 53
  • Impact of digital technology on learning to enhance the employability skills of business management graduates
    RM Metilda, PC Neena
    TOJDE - The online Journal of distance Education and E-Learning 5 (2), 35-41 , 2017
    2017
    Citations: 30
  • Gap analysis of employability skills of entry level business graduates based on job-fit theory
    RM Metilda, PC Neena
    International Journal of Social Sciences and Management 3 (4), 294-299 , 2016
    2016
    Citations: 29
  • Neuro-trajectories in managerial decisions
    CPDJ Satpathy, PC Neena
    Journal of Xi'an University of Architecture & Technology , 2019
    2019
    Citations: 15
  • An overview of employee retention strategies & its impact on turnover of the employees
    PC Neena, VA Dinesh, N
    Journal of Contemporary Issues in Business and Government 29 (1), 520-530 , 2023
    2023
    Citations: 9
  • Analyze the Factors that Contributed to Their Success and Lessons Learned
    S Chib, M Karthigeyan, FS Pawar, P Selvakumar, TC Manjunath, ...
    Crowdfunding and Alternative Financing Models for Women Entrepreneurs, 35-64 , 2025
    2025
    Citations: 2
  • Impact of Performance Appraisal System on the Organizational Citizenship Behavior–A study of IT and ITES organizations in top three metropolitan cities in India.
    N PC, K Vedantan
    Journal of Positive School Psychology 6 (2) , 2022
    2022
    Citations: 2
  • Noetic Alleyways: CHOOSING TO CHOOSE OR DECIDING TO DECIDE
    PCN CPDJ Satpathy
    Strad Research 7 (7) , 2020
    2020
    Citations: 2
  • Social and Emotional Learning in Undergraduate Teacher Education Programs
    P Selvakumar, S Garg, NB Karunakaran, PC Neena, S Gupta, ...
    Supporting Cultural Differences Through Literacy Education, 21-48 , 2025
    2025
    Citations: 1
  • Emotional intelligence and interpersonal dynamics in the workplace: Importance of psychological contract
    N Pc, A Varughese
    Организационная психология 14 (2), 44-57 , 2024
    2024
    Citations: 1
  • The Role of Artificial Intelligence in Improving Process Efficiency
    P Selvakumar, SJ Reddy, S Chandra, PC Neena, M Sharma, ...
    Navigating Digital Transformation Through Business Process Management, 335-364 , 2026
    2026
  • Multimodal Cognitive Mapping Framework for Context-Aware Figurative Language Understanding.
    RS Gudipati, N PC, K Ezhilmathi, M Durairaj, S Farhad, E Muniyandy
    International Journal of Advanced Computer Science & Applications 16 (11) , 2025
    2025
  • Embracing the Digital Shift—A Study on Modern E-Recruitment Methods
    IGAGMD Neena P.C.
    Book Applied Research for Growth, Innovation and Sustainable Impact , 2025
    2025
  • Digital Transformation of HR Functional Area
    PC Neena, D Dey
    Emerging Digitalization Trends in Business and Management, 235-258 , 2025
    2025
  • Overview of Gig Workers' Challenges and Benefits for Sustainable Gig Economy
    VABRR Neena P C
    INTERNATIONAL MANAGEMENT PERSPECTIVE CONFERENCE (IMPeC-25) Digitalization … , 2025
    2025
  • SOCIAL SECURITY CONCERNS IN THE GIG ECONOMY
    N P C
    Short Cases on Multidisciplinary Practices, 119-125 , 2025
    2025
  • ORGANIZATIONAL PSYCHOLOGY
    N PC, A VARUGHESE
    2024
  • The Impact Of Digital Libraries On Consumer Behavior And Decision-Making In Online Commerce.
    M Nalini, A Venkteshwar, N PC
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
  • COMPARATIVE ANALYSIS BETWEEN PERCEPTIONS OF B-SCHOOL STUDENTS & ALUMNI ON SOFT SKILLS TRAINING IN ENHANCING EMPLOYABILITY COMPETENCY
    SK AV, PC Neena
    2024
  • Experiential Learning & Student Engagement in Business Management Education
    PC Neena, N Dinesh
    Current Educational Research 7 (1) , 2024
    2024