Start Date
7-1-2011 2:30 PM
End Date
7-1-2011 3:15 PM
Track
2. Track 2 - Poster Session
Subject Area
Food Service
Faculty Member
Elizabeth Barrett - ebb@ksu.edu
Abstract
Hospitality operations are considered the heaviest consumers of energy and water per square foot of building space among all commercial industries. Water processing may be more than 80% of hospitality operations’ utility costs, and water expenditures are increasing due to infrastructure, demand, and climate change. The objectives of this study are to (1) identify water usage per-customer in casual dining restaurants (CDR’s) and (2) determine if employee behavioral intent to reduce water use is possible through interventions. The research questions ask if a significant decrease in water can be obtained using three interventions and, when using the Theory of Planned Behavior (TpB), whether employee’s behavioral intent toward water use will change. This study includes a historical review of previous six months water and customer data then a three month intervention with analysis of water use and employee behavioral intent.
Keywords
Water Usage, Casual Dining, Water Intervention
An Investigation of Water Usage in Casual Dining Restaurants in Kansas
Hospitality operations are considered the heaviest consumers of energy and water per square foot of building space among all commercial industries. Water processing may be more than 80% of hospitality operations’ utility costs, and water expenditures are increasing due to infrastructure, demand, and climate change. The objectives of this study are to (1) identify water usage per-customer in casual dining restaurants (CDR’s) and (2) determine if employee behavioral intent to reduce water use is possible through interventions. The research questions ask if a significant decrease in water can be obtained using three interventions and, when using the Theory of Planned Behavior (TpB), whether employee’s behavioral intent toward water use will change. This study includes a historical review of previous six months water and customer data then a three month intervention with analysis of water use and employee behavioral intent.