J Korean Diet Assoc.  2005 May;11(2):170-178.

Effect of Information Quality of Standard Menu on User's Satisfaction and Performance in ERP System of Contract Foodservice Management Company

Affiliations
  • 1Department of Food and Nutritional Sciences, Kyungnam University, Korea. hakim@kyungnam.ac.kr
  • 2Department of Food and Nutrition, Yonsei University, Korea.
  • 3Department of Food and Nutrition Information management, Graduate School of Human Environmental Sciences, Yonsei University, Korea.

Abstract

The purposes of this study were 1) to analyze the effect of the information quality of standard menu system of ERP on the user's satisfaction 2) to analyze the effect of the information quality of standard menu system of ERP on the user's performance. The questionnaires were distributed to 260 end users(dietitians, foodservice management managers) in charge of managing the institutional foodservice such as the office(government agencies, factories), schools(universities, middle and high school) and hospitals which were managed by contract foodservice management company "C" in Seoul and Kyunggi. The surveys were performed from July 26 to July 30, 2004. Two hundred and fifty questionnaires were responded(response rate : 96.2%). The statistical analysis was conducted by using SPSS Win(11.5). And the descriptive analysis, factor analysis, reliability test, pearson correlation and simple regression analysis were performed. The results showed that the information quality of standard menu system of ERP have a significant positive effect on the user's satisfaction(p<0.001) and user's performance(p<0.001). When constructing standard menu system on ERP in the contract foodservice management company, the information quality of standard menu system of ERP should be guaranteed in order to satisfy the end-user and to improve the user's performance.

Keyword

contract foodservice management company; information quality; user's performance; user's satisfaction; standard menu; Enterprise Resource Planning(ERP)

MeSH Terms

Factor Analysis, Statistical
Gyeonggi-do
Surveys and Questionnaires
Regression Analysis
Seoul
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