Impact of Covid 19 on the Performance of Restaurants Based on Learning Orientation
Ayan Chattoraj, Ph.D. Scholar, Sarala Birla University, Ranchi, Jharkhand
Assistant Professor NSHM Knowledge Campus Durgapur
Upperchelidanga, Bagbagan, P.O: Asansol, Dist: Burdwan, State: Westbengal, Pin:713304
Email: ayan.chattoraj@nshm.com
Dr Mukesh Singh, Assistant Professor, PhD Guide, Sarala Birla University, Mahi long, Ranchi, Jharkhand
Email: mukesh.singh@sbu.ac.in
Abstract
The COVID-19 pandemic has significantly impacted the restaurant industry, forcing businesses to adapt rapidly. Learning orientation, which involves knowledge acquisition, flexibility, and continuous improvement, has become a crucial factor influencing restaurant performance. Restaurants with a strong learning orientation are better equipped to pivot their business models, adopt new technologies, and respond to evolving consumer needs. Understanding this relationship can provide insights into the role of learning-oriented strategies in enhancing resilience and long-term competitiveness in the restaurant industry. Strong learning orientation, including commitment to learning, shared vision, and open-mindedness, have been more resilient. Commitment to learning involves adopting alternative business models, training staff on new protocols and safety measures, maintaining operational efficiency, and ensuring customer and employee safety. Shared vision fosters unity among management and staff, while open-mindedness allows restaurants to embrace technological advancements, experiment with new offerings, and listen to customer feedback. These learning-oriented practices are likely to benefit restaurants beyond the pandemic, contributing to a culture of continuous improvement and adaptability in an ever-changing market. This study uses a quantitative approach to investigate the relationship between learning orientation and restaurant performance during the pandemic, using a correlational design to determine if higher levels of learning orientation are linked to improved performance metrics. .Stratified Random Sampling technique applied for research purpose .The study uses structured questionnaire of sample size 30 to assess restaurant performance, focusing on learning orientation components and performance outcomes, with data analysis techniques including descriptive statistics and correlation tests.
Keywords: Commitment to learning, shared vision, open mindness, Knowledge acquisition, continuous improvement, Descriptive statistics
