The construction industry in Yemen is currently facing challenges associated with rapid development of technology; thus, cost estimation is considered a key factor that should align with this technological advancement. The main problem in the area of preliminary estimate in Yemen is how to make estimate accurately. The aim of this study is to analyse a modern method of preliminary cost estimation in Yemen to prove its efficiency over the traditional method. Therefore, a wide range of literature sources regarding the preliminary estimates using Artificial Neural Network (ANN) as a modern technique is considered. Both qualitative and quantitative approaches were adopted in this study depending on the theoretical premises discussed in literature and the ANN technique, respectively. The independent variables were chosen in the course of literature review. The collected data were classified and processed regarding the ANN constraints and encoded for building and analysis of the ANN model. NeuroSolution 6 software was used to build, train, and test the network as well as to perform sensitivity analysis. In addition, the results of training, testing, and sensitivity analysis were obtained and discussed showing high effectiveness of accurate estimates with less than 1 % error. The ANN model is a more powerful technique for estimating costs in the preliminary stage that should be used in the developing countries instead of the traditional methods.

The Sudanese construction sector is characterized by many small and large projects and high labor intensity, and accounted for 3.2% of the Sudanese country's GDP. The basic problems facing the Sudanese construction projects are the factors that affect on construction project performance. The objectives include identifying the factors affecting the performance of Sudanese construction projects, and to determine the critical factors. The literature review has been done to gather the information about the causes and their factors that affect on the performance of construction projects from the previous researches. The research methodology was conducted to gather the data by questionnaire which was examined to be reliable and valid according to statistical tests. The (34) factors were identified as factors affect on construction projects and the (10) factors were the critical factors which may lead to poor performance of Sudanese construction projects. This study has some conclusions such as the instrument for measuring the critical factors on the performance is reliable and valid, so the project management stage performance is 64.2%.

Most of projects in developing countries suffer cost overruns, behind the schedule, and bad quality due to improper monitoring and controlling technique. This study investigated the earned value management in Yemen as a monitoring and controlling technique and its relation with the project performance. The both qualitative and quantitative methods were adopted covering unstructured interview and questionnaire. This study conducted both pilot study and pre-test which led to proper instrument used in large-scale survey. Reliability and validity tests applied on the instrument which judged it to be reliable and valid. SPSS IBM 19 analysed the data showing that the Earned value has not understood due to lack of knowledge and wasn’t practiced in the site. Consequently, this led to performance failure. To overcome this issue, the academics and practitioners should study and practice earned value management in Yemen particularly, and in developing countries in general.

COVID-19 has drastically changed the way life works in many sectors, especially construction. This research aimed to analyse the awareness and practices of construction practitioners regarding the post-coronavirus situation in developing countries. A comprehensive literature review was conducted to study the effects of this pandemic on a global scale. Qualitative and quantitative methods were employed to create an accurate questionnaire for practitioners. During pilot studies, experts were consulted for their opinions, and pre-tests were done on small samples. The data was analysed using descriptive statistics to classify the results. The findings demonstrated that experience increases awareness of epidemic risks as well as how safety measures, regulations, and standards are often disregarded in developing countries and are affected by the community environment. It is recommended to implement a new science of epidemic risk management.

Most of projects in developing countries suffer cost overruns, behind the schedule, and bad quality due to improper monitoring and controlling technique. This study investigated the earned value management in Yemen as a monitoring and controlling technique and its relation with the project performance. The both qualitative and quantitative methods were adopted covering unstructured interview and questionnaire. This study conducted both pilot study and pre-test which led to proper instrument used in large-scale survey. Reliability and validity tests applied on the instrument which judged it to be reliable and valid. SPSS IBM 19 analysed the data showing that the Earned value has not understood due to lack of knowledge and wasn’t practiced in the site. Consequently, this led to performance failure. To overcome this issue, the academics and practitioners should study and practice earned value management in Yemen particularly, and in developing countries in general.