| Issue |
MATEC Web Conf.
Volume 266, 2019
International Conference on Built Environment and Engineering 2018 - “Enhancing Construction Industry Through IR4.0” (IConBEE2018)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 6 | |
| Section | Organization Management (OM) | |
| DOI | https://doi.org/10.1051/matecconf/201926603011 | |
| Published online | 20 February 2019 | |
Gap Analysis between ERP procedures and Construction procedures
Department of Civil Engineering, University of Moratuwa, Bandaranayake Mawatha, Moratuwa, 10400, Sri-Lanka
* Corresponding author: sachindrahewavitharana@gmail.com
Although Enterprise Resource Planning (ERP) offers many benefits to the construction industry, construction companies still hesitate to adopt ERP systems. This may be due to long-term practiced ad-hoc behaviors in the construction industry, which do not match with the standard procedures embedded in ERP systems. Therefore, through this research, it is expected to evaluate the gap between construction procedures and ERP procedures technically. Hence, to obtain indicative data for the study, a questionnaire was designed and distributed to selected 210 individuals among contractors, subcontractors, and clients in the Sri-Lankan construction industry who have used ERP. In total, 174 completed questionnaires were returned and then statistically analyzed using Chi-Square test with the Mini tab tool. It is concluded that there is a significant gap between the construction procedures and ERP procedures in identified fields related to the construction industry. The highest significant gap exists in the field of Inventory management with Chi-Square 158.766 > 9.48. And HRM (142.366), Asset Management (130.264), Finance Management (126.267), Site Operation (103.793), Project management (53.88), Purchases (34.324), Petty cash (28.337), Estimating and Tendering (22.148), Sub-Contractor management (0.492) respectively. Ultimately with the identified gaps, a framework was established to meet the organizational processes and ERP processes.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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