Authors:
K. Venkatesan, S. Kamaraj, P. Shankar, Uratchayaphon Nararattananukul
Addresses:
Department of Commerce, Sri Sankara Arts and Science College, Kanchipuram, Tamil Nadu, India. Department of Commerce, K.M.G. College of Arts and Science, Vellore, Tamil Nadu, India. Department of Business Administration, K.M.G. College of Arts and Science, Vellore, Tamil Nadu, India. Faculty of Business Administration, Ramkhamhaeng University, Bang Kapi, Bangkok, Thailand.
Abstract:
This study examined the relationship between dietary habits and productivity among manufacturing workers in Tamil Nadu. Workplace stress and health difficulties plague employees. Following a pandemic, the atmosphere changes, and heavy workloads can lead to stress, which in turn affects health and performance. To counteract, employees might focus on eating healthy foods. The study employs literature reviews to identify key factors influencing factory workers' dietary habits and productivity. Primary data is collected via a structured questionnaire. Using simple random sampling to detect respondents' dietary choices and energy levels improves employee health, performance, and productivity. The questionnaire was sent to 135 people. We got 128 responses. Only 120 of 128 replies were complete. Descriptive analysis explains answers, while linear regression analysis determines variable structure and internal reliability. The study found that eating cereals/pulses, vegetables, fruits, milk/tea/coffee, ghee, cheese, non-vegetarian foods, energy drinks, fresh fruits, cooked vegetables, raw vegetables/salad, meat, fish, fresh juice, millets, and snacks improves employee health, earnings, productivity, and profitability. This study will help factory workers choose their meals and adjust their consumption patterns to improve their health and productivity.
Keywords: Health and Well Being; Food Habit; Human Capital; Simple Random Sampling Method; Productivity and Profitability; Heavy Work Load; Energy Levels.
Received: 12/09/2024, Revised: 15/11/2024, Accepted: 31/12/2024, Published: 07/06/2025
DOI: 10.64091/ATITP.2025.000152
AVE Trends in Intelligent Technoprise Letters, 2025 Vol. 2 No. 2 , Pages: 77-84