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Abraham, D M (1990) A state-based framework using indicators for construction monitoring and evaluation, Unpublished PhD Thesis, , University of Maryland, College Park.

Ahrari, A (2012) A decision support system for dynamic integrated project scheduling and equipment operation planning, Unpublished PhD Thesis, , University of Maryland, College Park.

Akar, G (2009) Analysis of activity choice: The role of activity attributes and individual schedules, Unpublished PhD Thesis, , University of Maryland, College Park.

Al-Fadhala, M M (2002) Uncertainty-based condition assessment of existing concrete structures, Unpublished PhD Thesis, , University of Maryland, College Park.

Al-Wazeer, A A-R (2007) Risk-based bridge maintenance strategies, Unpublished PhD Thesis, , University of Maryland, College Park.

Avetisyan, H G (2013) Sustainable infrastructure modeling and policy analyses: Construction, energy and transportation industries, Unpublished PhD Thesis, , University of Maryland, College Park.

Bai, L (2013) RFID sensor-driven structural condition monitoring in integrated building information modeling environment, Unpublished PhD Thesis, , University of Maryland, College Park.

Bender, W J (2000) A risk-based cost control methodology for constructing complex structures with the mobile offshore base as a case study, Unpublished PhD Thesis, , University of Maryland, College Park.

Chelson, D E (2010) The effects of building information modeling on construction site productivity, Unpublished PhD Thesis, , University of Maryland, College Park.

Chen, C-H (2003) Integrated management of highway maintenance and traffic, Unpublished PhD Thesis, , University of Maryland, College Park.

Cheung, M (2017) The antecedents of safety leadership, Unpublished PhD Thesis, , University of Maryland, College Park.

Chung, B (2007) An analysis of success and failure factors for ERP systems in engineering and construction firms, Unpublished PhD Thesis, , University of Maryland, College Park.

  • Type: Thesis
  • Keywords: failure; construction firms
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/304854983
  • 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.

Ding, Q (2018) Using social media to evaluate public acceptance of infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.

Eldukair, Z A R (1988) Safety assessment and optimization of construction operations based on fuzzy sets, Unpublished PhD Thesis, , University of Maryland, College Park.

Erfani, A (2023) Data-driven risk modeling for infrastructure projects using artificial intelligence techniques, Unpublished PhD Thesis, , University of Maryland, College Park.

Hao, J X (2007) Infrastructure investment and economic development, Unpublished PhD Thesis, , University of Maryland, College Park.

Hickey, P J (2023) A study of gender diversity in u.S. Architecture, engineering, and construction (AEC) industry leadership, Unpublished PhD Thesis, , University of Maryland, College Park.

Hsu, S-C (2013) A complexity-based approach to intra-organizational team selection, Unpublished PhD Thesis, , University of Maryland, College Park.

Hu, M (2022) Influence of project design team characteristics on construction cost of sustainable buildings, Unpublished PhD Thesis, , University of Maryland, College Park.

Ingraham, A T (2001) Bidder-auctioneer cheating in sealed-bid auctions, Unpublished PhD Thesis, , University of Maryland, College Park.

Jang, W S (2007) Embedded system for construction material tracking using combination of radio frequency and ultrasound signal, Unpublished PhD Thesis, , University of Maryland, College Park.

Karimi, S (2021) A systematic methodology for evaluating and balancing acceptance risks with pay factors for highway construction materials, Unpublished PhD Thesis, , University of Maryland, College Park.

Lessani, A (2016) Decision analysis in construction claims, Unpublished PhD Thesis, , University of Maryland, College Park.

Lu, R (2010) Impacts of local item dependence of testlet items with the multistage tests for pass-fail decisions, Unpublished PhD Thesis, , University of Maryland, College Park.

McCahill, D F (1990) A practical model for simulation of earthwork construction, with applications for scheduling, Unpublished PhD Thesis, , University of Maryland, College Park.

Mohieldin, Y A (1989) Analysis of construction processes with nonstationary work task durations, Unpublished PhD Thesis, , University of Maryland, College Park.

Moore, W B (1989) Modeling the impact of large construction projects on surrounding communities, Unpublished PhD Thesis, , University of Maryland, College Park.

Neely, L E (2017) Project scheduling disputes: Expert characterization and estimate aggregation, Unpublished PhD Thesis, , University of Maryland, College Park.

Negahban, S (2008) Utilization of enterprise resource planning tools by small to medium size construction organizations: A decision-making model, Unpublished PhD Thesis, , University of Maryland, College Park.

Nyakaana Blair, A M A (1999) Risk analysis of cost and schedule of complex engineering systems, Unpublished PhD Thesis, , University of Maryland, College Park.

Ordonez Arizaga, J F (2007) A methodology for project risk analysis using Bayesian belief networks within a Monte Carlo simulation environment, Unpublished PhD Thesis, , University of Maryland, College Park.

Owoyemi, J A (2018) Performance evaluation of higway transportation design-build project delivery: A case study, Unpublished PhD Thesis, , University of Maryland, College Park.

Parvan, K (2012) Estimating the impact of building information modeling (BIM) utilization on building project performance, Unpublished PhD Thesis, , University of Maryland, College Park.

Quadri, H A (2019) Value engineering decisioneering: A risk management tool in the project management office- case study of electricity distribution companies in Nigeria, Unpublished PhD Thesis, , University of Maryland, College Park.

Salgado, C A (2005) Construction project organizational structuring, Unpublished PhD Thesis, , University of Maryland, College Park.

Shafahi, A (2016) Mathematical model and framework for multi-phase project optimization, Unpublished PhD Thesis, , University of Maryland, College Park.

Sharma, D K (2012) Design of availabilty payment mechanism for public private partnerships, Unpublished PhD Thesis, , University of Maryland, College Park.

Sundararajan, S K (2004) Project performance-based optimal capital structure for privately financed infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.

Tatari, M O (2009) Empirical analysis of construction enterprise information systems: Assessing the critical factors and benefits, Unpublished PhD Thesis, , University of Maryland, College Park.

Vecino, G A (2016) The feasibility of using web-based technology for the management of dredging projects, Unpublished PhD Thesis, , University of Maryland, College Park.

Yang, N (2010) Optimization of highway work zone decisions considering short-term and long-term impacts, Unpublished PhD Thesis, , University of Maryland, College Park.

Zeng, Y (2010) Risk management for enterprise resource planning system implementations in project-based firms, Unpublished PhD Thesis, , University of Maryland, College Park.

Zhao, Y (2023) Sustainability, acceptance risk analysis and machine learning in assessing mechanical properties and the impact of highway materials in transportation infrastructure, Unpublished PhD Thesis, , University of Maryland, College Park.