CHAPTER ONE
INTRODUCTION
1.1 Background to the Study
The construction industry has been rapidly evolving with advancements in technology, particularly in the realm of building construction estimation software. This software plays a crucial role in the planning and execution phases of construction projects, offering estimators and project managers sophisticated tools to forecast costs, allocate resources efficiently, and streamline the overall construction process. However, while the adoption of such software has been widespread, its impact on building performance remains a topic of significant interest and debate within the industry. Smith, J., & Johnson, A. (2020).
Understanding the effects of building construction estimation software on building performance involves examining various facets, including its influence on project timelines, cost predictability, resource optimization, and ultimately, the quality and sustainability of the constructed infrastructure. By analyzing these factors, stakeholders can gain insights into how the implementation of such software affects not only the bottom line but also the long-term functionality and durability of buildings. Chen, L., & Wang, Q. (2019).
This examination delves into the multifaceted relationship between building construction estimation software and building performance, aiming to uncover both the benefits and potential challenges associated with its use. By synthesizing empirical evidence, industry trends, and theoretical frameworks, this study seeks to provide a comprehensive understanding of how software-driven estimation processes impact the overall performance of constructed buildings. Ultimately, such insights are essential for informed decision-making and continuous improvement within the construction industry. Li, H., & Zhang, Y. (2018).
1.2 Statement of the Problem
Despite the widespread adoption of building construction estimation software in the construction industry, there remains a critical gap in understanding its precise impact on building performance. While such software is designed to enhance project planning, cost estimation, and resource allocation, its implications for the ultimate functionality, quality, and sustainability of constructed buildings are not fully elucidated. The lack of comprehensive research in this area leaves stakeholders, including contractors, developers, and policymakers, grappling with uncertainty regarding the efficacy and long-term consequences of relying on these software tools. Smith, J., & Johnson, A. (2020).
This study seeks to address this gap by examining the effects of building construction estimation software on building performance. By investigating key dimensions such as project timelines, cost predictability, resource optimization, and quality assurance, this research aims to provide empirical insights into the nuanced relationship between software-driven estimation processes and the overall performance of constructed buildings. Identifying both the benefits and potential drawbacks of utilizing such software is essential for informed decision-making and the continuous improvement of construction practices in pursuit of more efficient, sustainable, and resilient built environments. Chen, L., & Wang, Q. (2019).Top of Form
Bottom of Form
1.3 Objectives of the Study
The main objective of the study is to examine an examination of the Effects of Building Construction estimation software on building performance. Specific objectives of the study are:
- 1. To assess the impact of construction estimation software on cost performance.
- 2. To evaluate the influence of construction estimation software on schedule performance.
- To explore the potential of construction estimation software in enhancing overall building performance.
1.4 Research Questions
To guide the study and achieve the objectives of the study, the following research questions were formulated:
- Does the use of construction estimation software lead to more accurate cost estimates during project planning and execution?
- Does the use of construction estimation software improve the efficiency of resource allocation and scheduling?
- Can construction estimation software be used to integrate sustainability considerations into the cost estimating process?
1.5 Research Hypothesis
The following research hypothesis was developed and tested for the study:
Ho: There is no statistical significant relationship between Building Construction estimation software and building performance.
1.6 Significance of the Study
The study is important for many reasons. The following are the major stakeholders this paper through its practical and theoretical implications and findings will be of great significance:
Firstly, the paper will benefit major stakeholders and policy makers in the Building Technology sector. The various analysis, findings and discussions outlined in this paper will serve as a guide in enabling major positive changes in the industry and sub-sectors.
Secondly, the paper is also beneficial to the organizations used for the research. Since first hand data was gotten and analysed from the organization, they stand a chance to benefit directly from the findings of the study in respect to their various organizations. These findings will fast track growth and enable productivity in the organisations used as a case study.
Finally, the paper will serve as a guide to other researchers willing to research further into the subject matter. Through the conclusions, limitations and gaps identified in the subject matter, other student and independent researchers can have a well laid foundation to conduct further studies.
1.7 Scope of the Study
The study is delimited to Julius Berger. Findings and recommendations from the study reflects the views and opinions of respondents sampled in the area. It may not reflect the entire picture in the population.
1.8 Limitations of the Study
The major limitations of the research study are time, financial constraints and delays from respondents. The researcher had difficulties combining lectures with field work. Financial constraints in form of getting adequate funds and sponsors to print questionnaires, hold Focus group discussions and logistics was recorded. Finally, respondents were a bit reluctant in filling questionnaires and submitting them on time. This delayed the project work a bit.
1.9 Organization of the Study
The study is made up of five (5) Chapters. Chapter one of the study gives a general introduction to the subject matter, background to the problem as well as a detailed problem statement of the research. This chapter also sets the objectives of the paper in motion detailing out the significance and scope of the paper.
Chapter Two of the paper entails the review of related literature with regards to corporate governance and integrated reporting. This chapter outlines the conceptual reviews, theoretical reviews and empirical reviews of the study.
Chapter Three centers on the methodologies applied in the study. A more detailed explanation of the research design, population of the study, sample size and technique, data collection method and analysis is discussed in this chapter.
Chapter Four highlights data analysis and interpretation giving the readers a thorough room for the discussion of the practical and theoretical implications of data analyzed in the study.
Chapter Five outlines the findings, conclusions and recommendations of the study. Based on objectives set out, the researcher concludes the paper by answering all research questions set out in the study.
REFERENCES
Smith, J., & Johnson, A. (2020). "The Impact of Building Construction Estimation Software on Project Timelines." Construction Management Journal, 15(2), 45-62.
Chen, L., & Wang, Q. (2019). "Cost Predictability in Building Construction: A Review of Estimation Software Tools." Journal of Construction Economics, 25(3), 78-94.
Li, H., & Zhang, Y. (2018). "Resource Optimization in Construction Projects: A Comparative Study of Software-Assisted Estimation Methods." International Journal of Construction Management, 12(4), 112-129.
Jones, M., et al. (2017). "Quality Assurance in Building Construction: The Role of Estimation Software." Journal of Quality in Construction, 8(1), 20-36.
Green, K., et al. (2021). "Sustainability Implications of Building Construction Estimation Software: A Case Study Analysis." Sustainable Development Journal, 18(3), 145-162.
