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The exact process of construction projects performance assessment and benchmarking still remains subjective relying on qualitative techniques, which does not allow stakeholders to address the issues and the drawbacks of their respective projects as effectively as possible for performance improvement purposes. Hence, this research aims to establish a unified project performance score (PPS) for assessing and comparing projects performance.

Data were collected from Construction Industry Institute (CII) members and through University of Wisconsin active research projects. Exploratory data analysis was done to investigate the calculated performance metrics and the collected data characteristics. Data were converted into six performance metrics which were used as the independent variables in creating the PPS model. Logistic regression model was developed to generate the unified PPS equation in order to explain the variables that significantly affect construction projects successful post-completion performance. The PPS model was then applied on the collected dataset to benchmark projects in terms of project delivery systems, compensation types and project types in order to showcase the PPS capabilities and possible applications.

The model revealed that construction cost and schedule growth are the most important metrics in assessing projects performance, while RFIs’ processing time and change orders per million dollars were the features with the least effect on the PPS value. The authors found that integrated project delivery (IPD) and target value (TV) projects outperformed all other project delivery and compensation types. While, industrial projects showed the worst performance, as compared to commercial or institutional projects.

The PPS model can be used to assess the performance of any pool of executed projects, and introducing a novel addition to the field of construction business analytics which is a supplementary tool to successful decision making and performance improvement. Additionally, the bidding selection system can be revolutionized from a cost-based to a performance based one using the PPS model to improve the outcomes of the buyout process.

Healthcare-sector projects are some of the most complex in modern practice due to their reliance on high-tech components and the level of precision they must maintain. Existing literature in healthcare performance specifically is scarce, but there is a recent increasing trend in both healthcare construction and a corresponding trend in related literature. No previously existing study has derived weights (relative importance) of performance metric in an objective, data-based manner. The purpose of this paper is to present a newly developed mathematical model that derives these weights, free of subjectivity that is common in other literature.

This paper’s model considers 17 exceptional projects and 19 average projects, and reveals the weights (or relative importance) of ten performance metrics by comparing how projects relate to one another in terms of each metric individually. It solves an eigenvalue problem that maximizes the difference between average and exceptional project performances.

The most significant weight, i.e. the performance metric which has the greatest impact on healthcare project performance, was request for information per million dollars with a weight of 16.07 percent. Other highly weighted metrics included construction speed and schedule growth at 13.08 and 12.23 percent, respectively. Rework was the least significant metric at 3.61 percent, but not all metrics of quality had low ratings. Deficiency issues per million dollars was weighted at 11.61 percent, for example. All weights derived by the model in this paper were validated statistically to ensure their applicability as comparison and assessment tools.

There is no widely accepted measure of project performance specific to healthcare construction. This study’s contribution to the body of knowledge is its mathematical model which is a landmark effort to develop a single, objective, unified project performance index for healthcare construction. Furthermore, this unified score presents a user-friendly avenue for contractors to standardize their productivity tracking – a missing piece in the practices of many contractors.

The systematic assessment of working capital requirement in construction projects deals with the analysis of various quantitative and qualitative factors in which information is subjective and based on uncertainty. There exists an inherent difficulty in the classical approach to evaluate the impact of qualitative factors for the assessment of working capital requirement. This paper presents a methodology to incorporate linguistic variables into workable mathematical propositions for the assessment of working capital using fuzzy set theory. This article takes into consideration the uncertainty associated with many of the project resource variables and these are reflected satisfactorily in the working capital computations. A case study illustrates the application of the fuzzy set approach. The results of the case study demonstrate the superiority of the fuzzy set approach to classical methods in the assessment of realistic working capital requirements for construction projects.

The purpose of this paper is to examine the effect of supply chain agility (SCA) on supply chain responsiveness (SCR), supply chain innovativeness (SCI) and export performance (EP) in the industrial sector in Jordan. It also explores the effects of SCR and SCI on EP. In addition, the study investigates the mediating effects of SCR and SCI on the relationship between SCA and EP.

A questionnaire was prepared based on the extant literature. Data were gathered from 290 companies representing various types of manufacturing in Jordan. The appropriate tests were employed to ensure the validity of the study constructs and their reliability. Hypotheses were tested using structural equation modeling.

SCA was found to directly and positively affect EP. It also positively affected SCR and SCI. In addition, SCR and SCI fully mediated the SCA–EP relationship.

This study is one of the first to investigate the effect of SCA on EP. Also, it is the first, to the best of the authors knowledge, to highlight the effect of SCA on SCI. Further, this is the first study to examine the mediating effect of SCI on the SCA–EP relationship. Similarly, the mediating effect of SCR on the SCA–EP relationship has rarely been investigated in the literature.

Request for information (RFI) documents play a pivotal role in seeking clarifications in construction projects. However, perceived as inevitable “non-value adding” tasks, they harbour risks like schedule delays and increased project costs, underlining the importance of strategic RFI management in construction projects. Despite this, a lack of literature dissecting RFI processes impedes a full understanding of their intricacies and impacts. This study aims to bridge the gap through a comprehensive literature review, delving into RFI intricacies and implications, while emphasising the necessity for strategic RFI management to prevent project risks.

This research study systematically reviews RFI-related papers published between 2000 and 2023. Accordingly, the review discusses key themes related to RFI management, yielding best practices for industry stakeholders and highlighting research directions and gaps in the body of knowledge.

Present RFI management platforms exhibit deficiencies and lack analytics essential for streamlined RFI processing. Complications arise in building information modelling (BIM)-enabled projects due to software disparities and interoperability hurdles. The existing body of knowledge heavily relies on manual content analysis, an impractical approach for the construction industry. The proposed research direction involves automated comprehension of unstructured RFI content using advanced text mining and natural language processing techniques, with the potential to greatly elevate the efficiency of RFI processing.

The study extends the RFI literature by providing novel insights into the problemetisation with the RFI process, offering a holistic understanding and best practices to minimise adverse effects. Additionally, the paper synthesises RFI processes in traditional and BIM-enabled project settings, maps a causal-loop diagram to identify associated issues and summarises approaches for extracting knowledge from the unstructured content of RFIs. The outcomes of this review stand to offer invaluable insights to both industry practitioners and researchers, enabling and promoting the refinement of RFI processes within the construction domain.

The purpose of this paper is to determine supply chain practices that contribute most to the success of agile manufacturing (AM), and to examine their effects on its implementation levels in the Jordanian manufacturing sector. It also investigates the effect of AM on operational performance (OP).

The study is based on survey data collected from 294 manufacturing companies from different industry types in Jordan. Validity and reliability analyses were performed using SPSS and AMOS, and the study hypotheses were tested using structural equation modeling.

The results revealed that supplier involvement, internal integration, and modularization of products positively and significantly affect AM. Customer involvement and postponement were insignificantly related to AM. Further, the results demonstrated that AM positively and significantly affect OP.

A limited number of previous studies investigated supply chain antecedents of AM. Further, there is no consensus among researchers on these practices. In addition, this area is underinvestigated in the developing countries in general and in Jordan in particular. The current study contributes to the literature by determining the most commonly linked supply chain practices to AM and examining their effects on its implementation levels in the context of a developing country, Jordan.

Najib Mahfuz is the first Arab‐language author to win the Nobel Prize in literature. Born in 1911 the son of a middle‐class Jamaliyah merchant, he became the most popular novelist in Egypt and the Arab countries.

Does using smart devices change people's moral standards? The objective of this paper is to investigate how people's moral behavioral intentions while employing smart devices are modulated by their socioeconomic status (SES; as measured by educational level and income).

Participants were randomly assigned to either the smart devices condition or the non-smart devices condition, and their moral standards was measured by the adapted Moral Foundations Questionnaire. Data were collected from both China and the UK.

Individuals' SES moderated people's moral standards when using smart devices. Specifically, when employing smart devices (vs non-smart devices), moral standards declined for low-SES individuals. However, the effect of employing smart devices was not significant for high-SES individuals. This suggests that certain demographics may be more inclined to harm others with smart devices.

In emerging markets, the widespread of smart devices in workplace may lower consumers' and employees' moral standards for certain demographics. Managers and marketers need to be aware of this erosion of morality and employ some preventive measures in advance.

This paper examined morality in the era of smart devices. Even though the use of smart devices has become a norm in developed markets, smart devices usage is still on the rise in emerging markets. The authors findings enhance the understanding of moral behaviors and contribute to the knowledge of how smart devices are changing human behaviors.

This study aims to examine the influence of market logics on tendering capabilities and small and medium enterprise (SME) involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement.

Data was collected from owners/managers of SMEs registered by the Public Procurement and Disposal of Public Assets Authority. The SPSS software and CB-SEM software were used to obtain results on the influence of market logics on tendering capabilities and SME involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement.

Findings indicated that SME involvement in public procurement is mainly influenced by their governance mechanisms whilst both market logics and governance mechanisms had a positive influence on tendering capabilities of SME firms. Market logics and tendering capabilities had no effect on SME involvement.

The study mainly focussed on SMEs’ involvement in public procurement. The research has implications for decision makers in government and SME firms concerned with enhancing levels of SME involvement in public procurement activities.

Many governments are now focussing on procurement lot sizing so as to increase SME involvement in public procurement. Despite the use of lot sizing, SME involvement in public procurement is still low in many developing countries and also declining in others. Aspects such as market logics and governance mechanisms that may help understand the variations in involvement have not been given significant attention.

While science has researched the impact of air pollution on human health, the economic dimension of it has been less researched so far. Renewable energy consumption is an important factor in determining the level of life expectancy and reducing health expenditure. Thus, this study aims to investigate the impact of renewable energy, carbon emissions, health expenditure and urbanization on life expectancy in G-7 countries over the period of 2000–2019.

This study has adopted a novel Method of Moments Quantile Regression (MMQR). Furthermore, as a robustness check for MMQR, the fully modified ordinary least square, dynamic ordinary least squares and fixed effect ordinary least square estimators have been used.

The results indicated that renewable energy consumption, health expenditure and urbanization lead to an increase in life expectancy across all quantiles (5th to 95th), whereas higher carbon dioxide emissions reduce life expectancy at birth across all the quantiles (5th to 95th).

The empirical findings conclude that governments should recognize their potential in renewable energy sources and devise policies such as tax-related regulations, or relevant incentives to encourage further investments in this field.

This paper in comparison to the other research studies used MMQR to investigate the impact of factors affecting life expectancy. Also, to the best of the authors’ knowledge, so far no study has investigated the impact of renewable energy on life expectancy in G-7 countries.