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<title>Research Articles</title>
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<description>Published Journal Articles from the department.</description>
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<dc:date>2026-04-05T22:58:48Z</dc:date>
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<title>FRAMEWORK FOR INVESTIGATING CONTRACTOR SELECTION  DECISION SUPPORT SYSTEMS’ (CS-DSS) ACCEPTANCE BY PUBLIC  PROCUREMENT PERSONNEL</title>
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<description>FRAMEWORK FOR INVESTIGATING CONTRACTOR SELECTION  DECISION SUPPORT SYSTEMS’ (CS-DSS) ACCEPTANCE BY PUBLIC  PROCUREMENT PERSONNEL
GANDU, Yususf J.
Laboratory-based designs of contractor selection decision support systems (CS-DSSs) are common in construction management research. However, target end-users like the public procurement entities do not usually make use of these ubiquitous technologies in practice, in spite of their enormous potentials. The absence of reliable framework for &#13;
investigating technology adoption in public procurement has continued to impede the possibilities of investigating the acceptance of such &#13;
technologies. The present study aims at developing a framework for &#13;
investigating CS-DSS acceptance for the smallest decision making unit in &#13;
public procurement. The structure of a novel theoretical techno psychological framework for investigating CS-DSS acceptance in Nigerian public procurement is presented in this paper through the lens of an extended innovation diffusion theory - technology acceptance model (IDT-TAM). From an individual level remit (micro-level), a strategic review of &#13;
 literature was followed by a Delphi survey of carefully selected 18-number procurement experts in Nigeria. The study shows that the prescriptions of CS-DSSs by researchers can be supported by a foresight on the end-user behavioral intension to use such technologies. Operationalization of the framework with empirical data can model the &#13;
acceptance behavior of procurement personnel on CS-DSSs before they are adopted at the organizational or strategic level for enhanced contractor selection in public procurement. The emerging framework is recommended for designers of CS-DSS for articulating the antecedent behavior of public procurement personnel.
</description>
<dc:date>2022-09-01T00:00:00Z</dc:date>
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<title>ASSESSMENT OF KNOWLEDGE MANAGEMENT CAPABILITIES  OF THE NIGERIAN QUANTITY SURVEYING FIRMS</title>
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<description>ASSESSMENT OF KNOWLEDGE MANAGEMENT CAPABILITIES  OF THE NIGERIAN QUANTITY SURVEYING FIRMS
GANDU, Yususf J.
Knowledge management (KM) capabilities provide the supportive structure required to &#13;
share knowledge within the context in which it is required in an organizations and they can &#13;
encourage acquiring knowledge, protecting knowledge and facilitating knowledge sharing in an organization. This paper aims to assess the capabilities of the Nigerian Quantity Surveying firms in adopting KM concept and provide proper recommendation in order to adopt and implement KM successfully. 78 structured questionnaires were submitted to the professionals in the practicing Quantity Surveying firms to obtain the required data for the purpose of this study. A quantitative research approach was carried out to achieve the stated aim of the study. Our assessment uncovers to us the extent of KM capabilities of the Nigerian Quantity Surveying firms and also pin point the grey areas such as motivation that should be improved in order to adopt and implement KM successfully. The statistical sample of the respondents participated in the questionnaire survey was limited to only practicing Quantity Surveying Consultancy firms resident in Kaduna and Kano states of Nigeria and this could affect the generalization of the findings to the entire country. The structure of the questionnaire search was focused only on the capabilities of the practicing &#13;
Quantity Surveying Consultancy firms in view of adopting KM and the variables considered was restricted to only knowledge-based capabilities (creativity, intelligence, skills, motivation and communication) whereas resource-based capabilities (organizational culture, structure and technology infrastructure) was not give much emphasis in this research work. This research consolidates collective movement towards implementation of KM in the Nigerian Quantity Surveying Consultancy firms and forms a guide for improving KM capabilities in these firms.
</description>
<dc:date>2014-11-07T00:00:00Z</dc:date>
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<title>Early identification of lowest responsive bid in competitive  bidding process of construction projects</title>
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<description>Early identification of lowest responsive bid in competitive  bidding process of construction projects
GANDU, Yusuf J.
Lowest bid has often been favoured for award of construction contracts in most competitive bidding due to its perceived advantage to the client. However, this practice has also been found to eclipse with anomalies. For example, some bid figures are unrealistically low because desperate contractors cut down the figure to enhance the chances of winning contracts with the hope to recover the losses during project &#13;
 implementation. As a result, researchers recommends lowest bid that is responsive in place of just any lowest bid for the award. Bid evaluation has been used to identify the most responsive lowest bid where clients go through all bid documents in a process called bid evaluation. This process of bid evaluation could be very tedious if bidders are many. This research develops a model that can identify the lowest responsive bid very &#13;
early among competitors without the need to go through tedious bid analysis. It is a further research consideration after Carr (2005)”s model. A set of 36engineering projects of diverse magnitude that went through competitive bidding process in Nigeria were obtained and reports on bid analyses collated. Extracted from the reports are the Consultant’s Estimate, The Bid Prices, Error Analysis and the Number of Bidders. Literature documents that these four factors influence significantly the lowest responsive bid in competitive &#13;
bidding. Using the four factors as independent variables and the lowest responsive bid as dependent &#13;
variable, four simple and three multiple regression models were generated and compared along Carr (2005)’s model. Findings show that the number of bidders and consultant’s estimate are best variables to predict the lowest bid if combined in a regression model. Apart from eliminating unrealistically low bids, the model abstracts the need for tedious bid analysis and reduce the time taken in bidding process. Furthermore, error was found not dependent on the magnitude of a project. Bidders should stick to ethics of estimating to reduce error in bids. Researchers should consider combining three and the four variables in future models to determine comparatively, the one that offers the best predictive power
</description>
<dc:date>2020-01-31T00:00:00Z</dc:date>
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<title>Exploring the Awareness of Advanced Programmatic Risk Analysis and Management Model in Managing Construction Projects in N</title>
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<description>Exploring the Awareness of Advanced Programmatic Risk Analysis and Management Model in Managing Construction Projects in N
GANDU, Yusuf J.
Construction projects can be complicated and involve a number of risks and uncertainties which can lead to project risks and causes of a construction project’s failure to achieve predefined objectives. A properly implemented risk management process will enhance the&#13;
successful completion of building construction projects and thereby making the project more profitable. Risk management is an important part of construction management; various techniques have been developed for use in the management of risks in&#13;
construction. However, these techniques are limited to addressing risks relating to only&#13;
cost, schedule or technical performance individual or at best a combination of cost and&#13;
schedule risks and yet a risk-based decision support tools are not available to adequately address risks relating to cost, schedule and quality together in a coherent framework. This study aimed at assessing the awareness and usefulness of APRAM, as it is a newly&#13;
developed model/technique for managing construction project; risks relating to time, budget and quality simultaneously, as to enhance better management of construction&#13;
projects. A quantitative approach was adopted for this study, and further strengthened with a well-structured questionnaire to construction firms in Abuja and Kaduna. The&#13;
research employed descriptive statistics, tables, pie charts, mean score ranking and&#13;
percentages in the presentation, analysis and discussion of results. Findings confirmed&#13;
that there is a significant increase in the level of understanding of risk management. Also, some of the identified risk analysis techniques are very much known and aware of than others, with no awareness of APRAM in the Nigerian Construction Industry. It was recommended that there should be an increment of awareness of risk management knowledge as it will further help in the implementation of risk management practices. Also, there should be an awareness creation of risk analysis techniques as it is a means of managing construction risks effectively and efficiently. This can be done through&#13;
knowledge-based and expertise training in schools, workshops and seminars.
</description>
<dc:date>2020-01-11T00:00:00Z</dc:date>
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