During the last few decades, there has been a greater understanding of the role of lean construction (LC) in achieving better management of construction projects and enabling the application of the fourth industrial revolution in the construction industry (Construction 4.0), which in turn, has the potential to improve the practices and outcomes in the construction industry. This paper aims to identify the barriers to adopt LC practices by taking a case of the Kingdom of Jordan. A questionnaire that included 30 barriers that were resulted from a comprehensive literature review was distributed and filled by 326 respondents from the Jordanian construction industry. The findings showed that the absence of support from the top management, low awareness toward LC, lack of training, and the absence of transparency are amongst the most serious factors that hinder the adoption of LC. The findings in this paper might be helpful to improve the knowledge about LC and support the adoption of new techniques that might improve the performance in the construction industry.

The construction industry plays an essential role in economic development since it is one of the largest industries all over the world. Blockchain has the potential to reshape the structure of all accessible networks in the future. Construction businesses are increasingly interested in embracing blockchain technology to improve supply chain sustainability performance and supply chain resilience in times of globally increasing risks and volatility. This study evaluates the readiness of actors involved in the producing of concrete goods to emphasize the necessity to bring blockchain into the construction industry, as it may be a solution for supply chain resilience and long-term sustainable growth. Qualitative and quantitative research methods were used in collecting and analyzing the data and testing the hypotheses. Data were collected using an online questionnaire distributed to 300 employees who work within the biggest concrete producing companies in Saudi Arabia. 120 respondents completed the questionnaires. Additionally, confirmatory semi-structured interviews with experts in supply chain financing, IT departments, and procurement departments have been conducted; the study’s findings revealed a low level of blockchain knowledge within Saudi Arabia’s construction industry, since (90%) of respondents have not worked with Blockchain technology. Several technologists barely understand it, and the level of readiness is very low. However, there is a lot of potential, and it is worth investing in it combined with other technologies such as BIM technology. In this study, the authors have sought to provide a measure of Saudi professionals’ attitudes and understanding of blockchain technology solutions within the construction industry in Saudi Arabia. Furthermore, the study’s novelty aimed to provide a grasp of the conceptual, theoretical, and fundamental features of blockchain technology in the construction industry, as blockchain solutions could benefit the global economy by increasing levels of monitoring, tracing, and confidence in international supply chain resilience.

A probabilistic model is proposed to predict the risk effects on time and cost of public building projects. The research goal is to utilize a real history data in estimating project cost and duration. The model results can be used to adjust floats and budgets of the planning schedule before project commencement. Statistical regression models and sample tests are developed using real data of 113 public projects. The model outputs can be used by project managers in the planning phase to validate the schedule critical path time and project budget. The comparison of means analysis for project cost and time performance indicated that the sample projects tend to finish over budget and almost on schedule. Regression models were developed to model project cost and time. The regression analysis showed that the project budgeted cost and planned project duration provide a good basis for estimating the cost and duration. The regression model results were validated by estimating the prediction error in percent and thr...

Purpose: The purpose of this paper is to investigate the impact of hard total quality management (TQM) practices on operational performance dimensions in manufacturing organizations. Design/methodology/approach: The study was designed in the Jordanian manufacturing sector. Organizations that are familiar with hard TQM practices specifically that had already implemented ISO 9001 certificate were randomly surveyed through structured questionnaire, yielded a sample of 40 responding organizations. Principal component factor analysis was used to analyze hard TQM practices implementation and organizations operational performance dimensions. As a result, specific hard TQM practices and operational performance dimensions were extracted. The hard TQM practices that significantly influence operational performance dimensions were tested using simple and multiple linear regression analysis. Findings: The research findings showed that hard TQM practices in manufacturing sector include; continuous improvement, statistical process control (SPC), process management and quality tools and techniques. Meanwhile, operational performance dimensions include; quality and inventory management performance. Also, the findings showed that continuous improvement and SPC practices play a major role in obtaining the desired results of operational performance. Research limitations/implications: Three limitations can be identified in this research, using subjective measures of TQM practices and operational performance, low response rate and using a sample of organizations from various industries. This paper can help Jordanian manufacturing organizations to foster proper practices and make the right decisions related to operational performance. Originality/value: This study describes a reliable hard TQM model that can be used by manufacturing organizations to improve their operational performance. Also, the results of this study contribute to prior literature and recommend some best practices for manufacturing organizations.

Background: This study investigated the impact of green supply chain management (GSCM) on circular economy (CE) performance. The mediating roles of three green innovation types, namely green product innovation, green process innovation, and green management innovation, are also examined. Methods: This study’s population comprised all companies in the manufacturing sector in Jordan. A simple random method was applied to gather data from 278 companies. The research model was evaluated in terms of validity and reliability, which were found to be satisfactory. Hayes’s PROCESS macro in IBM SPSS was applied for hypothesis testing. Results: The findings showed that GSCM directly and positively affected CE performance. Moreover, GSCM showed positive impacts on the three types of green innovation. In addition, the three innovation types demonstrated positive impacts on CE performance and proved to positively mediate the GSCM–CE performance relationship. Conclusions: The present study is the first, to the best of our knowledge, to examine the mediating effect of green innovations on the GSCM–CE performance relationship. It is also among the first to examine the impact of GSCM on three different types of green innovation that represent technological and non-technological innovations.

Purpose: The purpose of this paper is to investigate the relationship between total quality management practices and the organizational performance in the Jordanian construction chemicals companies. Design/methodology/approach: In this research, ten constructs were used to measure TQM practices, whereas six constructs were used to measure the organizational performance. A total of 160 questionnaires were distributed to 28 companies. Of these 131 questionnaires were completed and used for the analysis, representing a response rate of 81.9 percent. Findings: Analysis has shown that TQM practices positively affect the organizational performance, with a significant value for top management commitment, customer focus, supplier management, process control and continuous improvement. Research limitations/implications: Results were based on perceptual data provided by participants working in different sectors of the organization, which may not provide a clear picture. It would be appropriate to consider collecting information from several stakeholders such as customers and suppliers. Willingness of respondents and delivering data within time were a big challenge though efforts were made to guarantee the confidentiality of the respondents. Practical implications: Results from this research points out that TQM is considered as a key-contributing factor to firm’s survival. It also provides empirical support that TQM implementation in manufacturing organizations contributes to the performance and survival of such organizations. This research also provides an understanding of the dynamic role of TQM practices that would help managers pay attention to the fundamental practices that have a direct impact on the firms’ performance. This will help the organizations to dedicate efforts and allocate resources to get the best long-term outcomes and to figure out their strengths and weaknesses to develop and implement a new strategy to enhance their competitive position. Originality/value: Construction sector in Jordan is a competitive sector. Therefore, quality in such industry is vital. Many companies in Jordan have much interest in implementing TQM practices. However, research efforts related to this field are rare. No research papers investigating the relationship between TQM practices and performance in Jordanian construction chemicals companies have been found. This research, therefore, seeks to examine the relationship between TQM practices and the construction chemicals firms’ performance in Jordan.