Chung, B (2007) An analysis of success and failure factors for ERP systems in engineering and construction firms. PhD thesis, University of Maryland, College Park, USA.
Abstract
Even though the use of ERP systems is growing and becoming more popular, these systems are still somewhat unfamiliar in the construction industry. Many engineering and construction firms know how beneficial ERP systems are, but they still hesitate to adopt these systems due to their high cost and risk. Without a doubt, a successful ERP implementation is an essential for the benefits from such systems, so this issue is always considered top priority in the ERP related research area. It is obvious that several important factors must be considered for successful implementation, but most engineering and construction firms have no idea what factors should be considered most heavily. Therefore, the main goal of this research is to help these firms better understand the critical factors that need to be considered to ensure the success of ERP systems. This research formulated the conceptual ERP success model based on strong background theories and knowledge gained from several industry practitioners. The survey instrument was designed based on the conceptual ERP success model, and was tested before conducting the main survey. The ERP success model and its variables were finally fixed after completing a series of data analyses with the main survey. Since there have been few studies attempting to validate empirically the factors affecting both ERP implementation and user adoption, this research focused on identifying the factors for the ERP success from both implementation project and user adoption perspectives. Then, identified factors were examined to verify their relationships with success indicators associated with the redefined ERP success. Furthermore, the research suggested recommendations for the ERP success showing how to approach ERP implementation to avoid failure and what we should do considering the significance of each factor to a given dependent variable based on the findings of the study. These recommendations can provide helpful information to engineering and construction firms when they consider implementing or upgrading their ERP systems. This information should help companies reduce tremendous ERP implementation risks so that companies can have more chances to improve their business value with the success of EPR systems.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Skibniewski, M J |
| Uncontrolled Keywords: | failure; construction firms |
| Index terms: | becoming, critical factor, implementation, construction industry, data analysis, failure factor, survey, construction firm, upgrading, practitioner, dependent variable |
| Subjects: | industry analysis, philosophical process, statistical analysis, practitioner, strategic management, risk assessment, data collection methods, organization, contractual arrangements, data analysis and analytics |
| Topics: | Procurement, Risk Management, Research Practice, Business Strategy, Roles and Professions |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here