Muhammad Ayat 교수

Purpose The COVID-19 pandemic has brought profound changes to all sectors of society including the construction sector. The main purpose of this study is to explore and provide insights into the impact and changes that have occurred in the construction sector due to COVID-19 and to present a mitigation framework to minimize the effects. Design/methodology/approach The scope of this study is limited to peer-reviewed articles in Scopus or Web of Science indexed journals. A systemized review was pe

Purpose The purpose of this study is to investigate the current literature that has explored project success in the information and communication technology (ICT) sector. Design/methodology/approach The literature search was carried out for related articles in three databases: the Web of Science, Scopus and Ebscohost. Using a systematic literature review (SLR) methodology, 75 related articles were sorted out. Furthermore, the methods of frequency and content analysis were used to identify, categ

Tunnel construction is considered a bottleneck point in mega construction projects because of higher associated risks and uncertainties. This study is an attempt to identify and rank the causes project overruns in tunnel construction projects in Pakistan and propose a mitigation strategy to minimize their effects. For the given purpose, a total of 32 key causes were obtained from the literature and discussion with a team of experts and practitioners. A web-based questionnaire survey was used for

Purpose The coronavirus disease (COVID-19) pandemic has negatively affected project management organisations especially those conducting large construction projects that involve a large number of people, complex supply chains, and lack of experience and preliminary arrangements in managing remote work. This study aims to analyse the impact of COVID-19 on the construction sector and how to minimise the effect of pandemic disruptions. Design/methodology/approach This study is based on the reviews

Purpose The purpose of this study is to investigate the impact of Corona Virus Disease 2019 (COVID-19) on the outcome of construction projects and explore the moderating effects of emerging technologies on the relationship between COVID-19 and construction project outcomes. Design/methodology/approach Data for the study was collected through a Web-based, semistructured questionnaire. The responses of 62 construction practitioners were analyzed using a hierarchical linear regression model. The mo

Purpose The purpose of this study is to propose an improved framework for managing Private Participation in Infrastructure ICT (PPI-ICT) projects in the context of developing countries as the requirements to manage them are different in several aspects. Design/methodology/approach The framework has been proposed based on an exhaustive literature review and statistical analysis of the PPI-ICT projects’ data set using logistic regression, F-test and student’s t-test. The proposed framework was als

Purpose The study aims to examine the impact of key variables on the success of solicited and unsolicited private participation in infrastructure (PPI) projects using machine learning techniques. Design/methodology/approach The data has information on 8,674 PPI projects primarily derived from the World Bank database. In the study, a machine learning framework has been used to highlight the variables important for solicited and unsolicited projects. The framework addresses the data-related challe

Purpose This study examines scholarly communications in the International Journal of Managing Projects in Business (IJMPB) and identifies the journal's leading trends from 2008 to 2019. Design/methodology/approach This study analyzed a sample of 522 articles published in the IJMPB since its inception in 2008 until 2019. A set of bibliometric measures was used in the study to identify publication trends, citation structures, leading authors, institutions and countries. Additionally, analysis of r

Purpose The primary purpose of this study is to explore the relationship between the unsolicited proposal (USP) and the performance of private participation infrastructure (PPI) projects in developing countries. Design/methodology/approach The main data set for this study was collected from the World Bank database consisting of 8,951 PPI projects that occurred in developing countries from 1996 to 2020. Hierarchical logistic regression was applied for investigating the effects of USPs on project

Tunnel construction is considered a bottleneck point in mega construction projects because of higher associated risks and uncertainties. This study is an attempt to identify and rank the causes project overruns in tunnel construction projects in Pakistan and propose a mitigation strategy to minimize their effects. For the given purpose, a total of 32 key causes were obtained from the literature and discussion with a team of experts and practitioners. A web-based questionnaire survey was used for

The study aims to propose a data mining-based framework to predict the success of private participation in infrastructure projects in developing countries. Data have been collected from the World Bank’s maintained PPI projects database. The proposed framework in this study consists of imputation of missing values, selection of significant features method, resampling imbalanced classes, and application of classification algorithms, including random forest, logistic regression, and support vector

The purpose of this study is to examine the relation between audit fees and market size (proxied by the sum of client sizes domiciled in a city) using the data of Australian Stock exchange (ASX) listed companies. An Ordinary Least Squares (OLS) regression model and a client fixed effect model are applied to empirically test the relation between audit fees and market size. The client fixed effect model is used to control for omitted variable bias. Within this framework I apply two different audit