https://repositori.mypolycc.edu.my/jspui/handle/123456789/6660 2026-04-17T18:10:31Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/7155 Title: THE ROLE OF WORK PLACEMENT IN SHAPING QUANTITY SURVEYING CAREERS Authors: Roslinda Rosly; Mak, Dick Ken; Nor Marina Rosli Abstract: This study examines the influence of work placement programs on the professional growth of quantity surveying students, focusing on their role in enhancing employability, acquiring practical and soft skills, and bridging the gap between academic learning and industry practices. The research aims to identify the implications of work placements, determine the barriers faced by students during placements, and investigate existing strategies to improve implementation. Using a quantitative approach, data were collected from 124 participants at various stages of their education and career. The findings reveal that work placements significantly benefit students by improving their skills and industry readiness, yet challenges such as limited opportunities, low wages, and short durations hinder their full potential. By analyzing these barriers and strategies, the study highlights the importance of robust collaboration between universities and industry stakeholders to optimize placement programs. These insights contribute to enhancing placement practices, ensuring the production of skilled and competent quantity surveyors. 2025-03-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/7154 Title: EXTENT OF SPECIALIZED SOFTWARE USAGE IN THE DELIVERY OF QUANTITY SURVEYING SERVICES IN SOUTH WEST NIGERIA Authors: Olatunde, Nathaniel Ayinde; Gento, Angel M.; Awodele, Imoleayo Abraham; Adebayo, Bosede Olajumoke; Makanjuola, Sola Samuel; Oyewo, Olumide Wumi Abstract: Purpose – This study was done to unearth the state of digital transformation in the delivery of construction cost management in Nigeria. The study investigated the extent of usage of specialized software in the delivery of Quantity Surveying Services (QSSs) to improve construction project delivery in Nigeria. Design/methodology/approach – The study used a convenient sampling technique to randomly select 146 Quantity Surveyors in Ekiti and Osun State, Southwest Nigeria. Analysis of data was carried out with the use of frequency, percentile, mean score, Cronbach’s alpha coefficient, ANOVA and factor analysis. Findings – The study found that the average awareness level about the identified software for the delivery of QSSs among quantity surveyors is low (MS 5 2.83). Analysis of individual software shows that the awareness of quantity surveyors is high on Microsoft Excel (MS 5 4.28), AutoCAD (MS 5 3.93) and QS CAD (MS 5 3.71). More findings indicated that the extent of usage of the software by quantity surveyors is low. However, there was observable high usage of Microsoft Excel. The important factors that influence the usage of specialized software in the study area are lack of accessibility (MS 5 4.17), the high initial cost of mounting the software (MS 5 4.05), and poor digital education (MS 5 3.85). The result of the factor analysis indicated that the factors influencing the usage of specialized software in the delivery of quantity surveying services could be categorized into three component groupings – cost-related, education issues and ease of use factors. Practical implications – The study will improve digital education for Quantity Surveyors from the Nigerian Institute of Quantity Surveyors (NIQS) and a policy from the National Information Technology Development Agency (NITDA) to improve access to specialized software for Quantity Surveyors. Originality/value – This research contributes to the existing body of knowledge by shedding light on the current landscape of software adoption in the field of quantity surveying in Nigeria. 2025-04-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/7153 Title: PROFILING QUANTITY SURVEYING FIRMS FOR CAPABILITY MATURITY IN ADOPTING BUILDING INFORMATION MODELLING IN NIGERIA Authors: Adah, Christiana Ada; Odeyinka, Henry Abstract: The resource management role that quantity surveying firms (QSFs) play during project delivery makes innovations such as Building Information Modelling (BIM) instrumental for efficient service delivery. Existing studies have reported that only a small number of QSFs in Nigeria have adopted BIM. Moreover, there is a paucity of information on the profiles of the few QSFs that have adopted BIM that would guide other QSFs that intend to adopt BIM. The aim of this study is the profiling of QSFs that have adopted BIM in their practice with a view to determining their capability maturity for a successful BIM implementation. Using a survey instrument, the study employed the Delphi technique to obtain information on the profiles of QSFs from experts practicing in 18 QSFs that have adopted BIM based on the profiles of QSFs obtained from the literature. The experts' responses were analyses using descriptive statistical tools. The result indicates that QSFs that have adopted BIM are mature firms with employees holding relevant educational and professional qualifications. In addition, these firms had sufficient clients, adequate turnover, and were registered with both professional and regulatory bodies of quantity surveying (QS) practice in Nigeria. These attributes may be linked to the firms’ capability maturity and also influence the adoption of BIM. The study would assist QSFs that intend to adopt BIM to be abreast with the profiles of QSFs that have adopted BIM and in working towards upgrading their profiles to enhance their capability maturity for the adoption of BIM. 2024-12-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/7152 Title: SEMI-AUTOMATIC RECOGNITION OF OBJECTS FROM CAD DRAWINGS FOR QUANTITY SURVEYING Authors: T. Hassan; F. Farrag; A. Elsonbaty; M. Besheer Abstract: Many engineers still utilize computer-aided design (CAD) drawings for design and then use those drawings for quantity surveys. CAD is user- friendly and easy to learn, but less powerful than Building Information Modelling (BIM). Both technologies are utilized for Bill of Quantity (BOQ). The manual technique for producing BOQ takes a lot of time and may result in errors or model shortcomings. The current study aims to present an accurate framework for object recognition from CAD drawings and convert them into intelligent drawings through which engineers can automatically count amounts. The work here is classified as supervised classification using the principles of remote sensing to identify objects in CAD drawings. This approach aims to convert engineering work into computerized tasks, as it is necessary for large projects. The proposed framework incorporates the C# programming language with Microsoft Excel and AutoCAD. The framework has been tested on over 200 layouts. Drawing faults are detected and corrected automatically or semiautomatically, yielding precise output. The current work minimizes human mistakes in quantity surveys, increases productivity, and completes project information. The study highlights the importance of using the latest technology to overcome the shortcomings in CAD drawings. 2025-01-01T00:00:00Z