Examining Multilevel Perspective on Enterprise System Success: A case on T Company

碩士 === 元智大學 === 資訊管理學系 === 97 === Enterprise resource planning (ERP) system has become a must-have information system and information technical infrastructure in most modern companies. Although most of the enterprises believe that ERP application can improve their competitive advantages, some enterp...

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Bibliographic Details
Main Authors: Jui-Hsieh Chou, 周睿賢
Other Authors: 吳思佩
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/29682547697610126447
Description
Summary:碩士 === 元智大學 === 資訊管理學系 === 97 === Enterprise resource planning (ERP) system has become a must-have information system and information technical infrastructure in most modern companies. Although most of the enterprises believe that ERP application can improve their competitive advantages, some enterprise failed to gain the expected benefits from ERP application. Thus, measuring the success of information systems is of paramount important. Besides, a successful ERP implementation project does not guarantee automatic business benefits realization in the post-implementation phase. Therefore, based on “Updated IS Success Model” proposed by DeLone and McLean (2003) and multilevel theory, this research adopted case study method to measure the ERP post-implementation success from multilevel perspective. This study’s research objective is to provide better understanding of what influences and constitute an ERP success from the multilevel perspective. After a series of researches and discussions, we found that it takes information quality, system quality, system use, user satisfaction and perceived benefits to build up ERP success in the individual level. On the other hand, ERP success in the group level mainly consists of ERP fit, group use and group net benefits. The constructs in individual level and group level will have some bottom-up or top-down influences to other levels. A number of managerial suggestions are also proposed for improving ERP system operational performance.