Assessment of Training and Development Impacting on Total Quality Management: Online Shopping Logistics Perspective
Dr. P. Sree Devi, Assistant Professor of Commerce, JNTU - GV, Vizianagaram, A.P, India
Pranaya Deekonda, Assistant Professor of Management, AITAM College, Tekkali, Srikakulam, A.P, India
ABSTRACT
This research investigates the intricate interplay between training and development initiatives and Total Quality Management (TQM) within the context of online shopping logistics. As the global landscape of commerce undergoes a transformative shift towards e-commerce, the efficiency of online shopping logistics emerges as a critical determinant of customer satisfaction. The study employs a comprehensive approach, leveraging statistical analyses including factor analysis, multiple regression, and ANOVA, to unravel the nuanced relationships between diverse training and development factors and their impact on TQM. The findings reveal key drivers of TQM in the online shopping logistics domain, emphasizing the pivotal role of variables such as Enhancing Customer Experience, Continuous Learning Culture, Brand Reputation, Cross-Cultural Considerations, and Technology Integration. Additionally, challenges such as Problem-Solving Abilities are identified, prompting tailored interventions. The research underscores the significance of aligning training programs with future industry directions and the imperative of cultivating a brand-centric approach. These insights offer practical recommendations for organizations operating in the e-commerce sector, guiding them to prioritize and refine training initiatives to optimize TQM. The abstract encapsulates the research's contribution to the evolving field of online shopping logistics, providing a nuanced understanding of the factors influencing TQM and paving the way for strategic enhancements in training and development practices to ensure operational excellence and sustained customer satisfaction in the dynamic e-commerce landscape.
Keywords: Training and Development, Total Quality Management, Logistic Management, Online shoppers, Factor Analysis, Multiple Regression Analysis
