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UMA MAHESWARI B

ASSOCIATE PROFESSOR | Decision Sciences

uma@psgim.ac.in

Profile Summary

Dr. B. Uma Maheswari is an Associate Professor in the Decision sciences stream at PSG Institute of Management, located in Tamil Nadu, India. With an academic career spanning over two decades, she holds expertise in data science, strategic management, business analytics, design thinking, and entrepreneurship. She co-authored the book titled 'Introduction to Data Science, Practical Approach with R and Python,' which was published by Wiley as part of their Emerging Technology series in 2021. In 2022, her book 'Predictive Analytics for Data-Driven Decision Making - Tools and Techniques for Solving Real-World Problems' was published by Nova Science Publishers, New York. Beyond academia, she conducts several training programs in the domain of data science and business analytics. She is also proficient in R, Python, and Tableau. She was responsible for creating and launching a One-year Executive program in Data Science. Moreover, she served as the program coordinator of the University of Toledo MBA program. Currently, she is a member of the core Accreditation team.

Subjects Handled

Business-Analytics Python-Programming Machine-Learning Strategic-Management Design-Thinking Business-Analytics-using-R Business-plan Strategic-Tools Case-Analysis-and-Presentation Basic-Accounting Management-Accounting Venturing-a-Social-Enterprise Personality-Development

Experience

  • Associate Professor

    PSG College of Technology (2003-03-13 - Present)

Publications

  • THE FAMILY’S INFLUENCE ON THE STRATEGIC PLANNING EFFECTIVENESS IN SMALL FAMILY-RUN FIRMS

    LIFE SCIENCE JOURNAL (2013)

  • USEFULNESS OF ANNUAL REPORT TO PROFESSIONAL INVESTORS IN INDIA

    ASIAN JOURNAL OF RESEARCH IN SOCIAL SCIENCES AND HUMANITIES (2016)

  • DRIVERS IN IMPLEMENTING SUSTAINABILITY PRACTICES IN THE CONTEXT OF INDIAN SMALL AND MEDIUM ENTERPRISES

    ASIAN JOURNAL OF RESEARCH IN SOCIAL SCIENCES AND HUMANITIES (2016)

  • SUSTAINABLE DEVELOPMENT PRACTICES ADOPTED BY SMES IN A DEVELOPING ECONOMY: AN EMPIRICAL STUDY

    THE IUP JOURNAL OF MANAGEMENT RESEARCH (2018)

  • COMPARISON OF SUSTAINABILITY FACTORS INFLUENCING ENVIRONMENTAL, ECONOMIC AND SOCIAL SUSTAINABILITY- AN EMPIRICAL STUDY IN AN EMERGING ECONOMY

    AIMS INTERNATIONAL JOURNAL OF MANAGEMENT (2018)

  • CORPORATE FINANCIAL REPORTING ON WEBSITES: EVIDENCE FROM INDIA

    ASIAN JOURNAL OF MANAGEMENT (2018)

  • COMPARISON OF SUSTAINABILITY FACTORS INFLUENCING ENVIRONMENTAL, ECONOMIC AND SOCIAL SUSTAINABILITYAN EMPIRICAL STUDY IN AN EMERGING ECONOMY

    AIMS INTERNATIONAL JOURNAL OF MANAGEMENT (2018)

  • IMPACT OF THE BUSYNESS AND BOARD INDEPENDENCE ON THE DISCRETIONARY DISCLOSURES OF INDIAN FIRMS

    INTERNATIONAL JOURNAL OF LAW AND MANAGEMENT (2019)

  • FACTORS MOTIVATING SOCIAL ENTREPRENEURS—AN EMPIRICAL STUDY IN THE STATE OF TAMIL NADU, INDIA

    ZENITH INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH (2019)

  • FACTORS MOTIVATING SOCIAL ENTREPRENEURS- AN EMPIRICAL STUDY IN THE STATE OF TAMIL NADU, INDIA

    ZENITH INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH (2019)

  • SUSTAINABILITY FOR SMALL AND MEDIUM ENTERPRISES: AN INTERPRETIVE STRUCTURAL MODELLING APPROACH

    INTERNATIONAL JOURNAL OF BUSINESS EXCELLENCE (2020)

  • A STUDY ON PERCEPTION OF MOBILE PAYMENT SERVICE AMONG COLLEGE STUDENTS

    INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2022)

  • HAVE THE SERVICES OF SMALL FINANCE BANKS REACHED THE BENEFICIARIES EFFECTIVELY? EVIDENCE FROM RURAL REGIONS

    INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING DEVELOPMENT (2022)

  • APPLICATION OF MACHINE LEARNING ALGORITHMS TO PREDICT SURVIVAL OF MICRO SMALL AND MEDIUM ENTERPRISES IN INDIA

    INTERNATIONAL JOURNAL OF DATA ANALYSIS TECHNIQUES AND STRATEGIES (2023)

  • DEVELOPING A TALENT IDENTIFICATION MODEL FOR PREDICTING PLAYER POSITION IN FOOTBALL USING MACHINE LEARNING ALGORITHMS

    LECTURE NOTES IN ELECTRICAL ENGINEERING (2023)

  • APPLICATION OF MACHINE LEARNING ALGORITHMS FOR CREATING A WILFUL DEFAULTER PREDICTION MODEL

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2023)

  • GREEN SUPPLY CHAIN MANAGEMENT PRACTICES AS A DETERMINANT OF ORGANISATIONAL COMPETITIVENESS: AN EMPIRICAL STUDY AMONG HOTELS IN INDIA

    ASIAN JOURNAL OF BUSINESS AND ACCOUNTING (2023)

  • BANKRUPTCY PREDICTION MODELS FOR NSE-LISTED FIRMS: A COMPARATIVE ANALYSIS

    THE IUP JOURNAL OF FINANCIAL RISK MANAGEMENT (2023)

  • ROLE OF WORKING PROFESSIONALS IN THE MODERN CORPORATE LANDSCAPE IN FOSTERING THE TRANSITION TOWARDS CIRCULAR ECONOMY

    INTERNATIONAL JOURNAL OF ENVIRONMENT WORKPLACE AND EMPLOYMENT (2024)

  • AMALGAMATION OF TECHNOLOGY ADOPTION MODEL (TAM) AND CONJOINT ANALYSIS TO UNDERSTAND CONSUMERS’ PERCEPTION OF WEARABLE HEALTH-TECH DEVICES

    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE (2024)

  • SUPPLY CHAIN ANALYTICS TO PREDICT THE RISK OF LATE DELIVERY: A MACHINE LEARNING APPROACH

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • AN EMPIRICAL ASSESSMENT OF CREDIT RISK OF INDIAN COMPANIES USING MACHINE LEARNING ALGORITHMS

    COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (2025)

  • PREDICTING DELAYS IN IT PROJECTS: A MACHINE LEARNING APPROACH

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • UTILIZING DIGITAL TWINS FOR PREDICTIVE MODELLING IN MANUFACTURING CYBER-PHYSICAL SYSTEMS

    COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (2025)

  • DIGITAL TWINS AND INDUSTRIAL INTERNET OF THINGS IN AUTOMOBILE INDUSTRY: APPLICATIONS AND FUTURE TRENDS

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • AN AUTOMATED EXTRACT, TRANSFORM, LOAD (ETL) PIPELINE TO FACILITATE ACQUISITION AND ANALYSIS OF STOCK MARKER DATA

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • SUPPLY CHAIN ANALYTICS TO PREDICT THE RISK OF LATE DELIVERY: A MACHINE LEARNING APPROACH

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • ENSEMBLE MACHINE LEARNING MODELS FOR CORPORATE CREDIT RISK PREDICTION: A COMPARATIVE STUDY

    SN COMPUTER SCIENCE (2025)

  • ENSEMBLE MACHINE LEARNING MODELS FOR CORPORATE CREDIT RISK PREDICTION: A COMPARATIVE STUDY

    SN COMPUTER SCIENCE (2025)

Book Chapters

  • SUPER APPS: THE NATURAL PROGRESSION IN FIN-TECH

    FINTECH AND CRYPTOCURRENCY - wiley (January 01, 2023)

  • HOW ARTIFICIAL INTELLIGENCE AND GENERATIVE AI IS REVOLUTIONIZING THE FASHION INDUSTRY

    GENERATIVE AI FOR BUSINESS ANALYTICS AND STRATEGIC DECISION MAKING IN SERVICE INDUSTRY - IGI Global (January 31, 2025)

  • SUPPLY CHAIN ANALYTICS TO PREDICT THE RISK OF LATE DELIVERY: A MACHINE LEARNING APPROACH

    DATA SCIENCE AND APPLICATIONS - Springer Nature Singapore Pte Ltd (June 07, 2025)

Books

  • INTRODUCTION TO DATA SCIENCE – PRACTICAL APPROACH WITH R AND PYTHON

    WILEY INDIA PVT. LTD - October 12, 2021

  • PREDICTIVE ANALYTICS FOR DATA DRIVEN DECISION MAKING - TOOLS AND TECHNIQUES FOR SOLVING REAL WORLD PROBLEMS

    NOVA SCIENCE PUBLISHERS - March 31, 2022

Patents

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