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This study examines the relationship between employees' perceptions of informational fairness and project performance. Furthermore, it examines if this relationship is sequentially mediated by (1) knowledge sharing and role clarity and (2) communication openness and role clarity.

Data are collected from 302 full-time employees of seven project-based construction organizations in Pakistan. Data are analyzed through variance-based structural equation modeling technique and the Preacher and Hayes' bootstrapping procedure.

Results indicate that project employees' perceptions of informational fairness positively predict project performance. Moreover, this relationship is sequentially mediated by (1) communication openness and role clarity and (2) knowledge sharing and role clarity.

This study provides further insights on the informational fairness and project performance relationship by examining their underlying mechanisms. It draws on the much ignored context of Pakistan, and offers some implications for managers and researchers with regard to how behavioral factors may further enhance project performance.

The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB).

Using non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290.

Findings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices.

This study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry.

This study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.

The complexity of projects has become a serious issue and obstacle in their successful completion. In order to overcome these complexities, it has become imperative to identify the relevant management competencies of project managers. The purpose of this paper is to address the problem of cost, time and scope in engineering infrastructure projects due to their complexities through management competencies.

In the first phase of the study, 32 experts were interviewed through semi-structured pre-tested questionnaire. In this phase, essential elements of complexities were identified initially. This was followed by finding required dimensions of competencies to counter these complexities and to acquire improved performance. In the final stage, required levels of competencies for specific elements of complexity were identified. In the second phase, 85 “project managers” were also approached to get feedback about their recently completed public sector engineering infrastructure projects in Pakistan.

The study identified additional dimensions, i.e. honesty, enthusiasm and dedication, in the case of competencies and adverse law and order situation, political instability, land issues, energy crisis and weak authorization of project managers in the case of complexities. Leadership, management skill, communication skill, effectiveness and result orientation were identified as top quality traits required. The study concluded that there is a significant impact of management competencies and complexities on project performance.

The study contributes to a better understanding of how to improve performance in complex engineering infrastructure projects through adopting management competencies. It also empirically illustrates the relations among project management competencies, complexities and project performance. Although the research is grounded on public sector infrastructure projects, its findings may also be helpful for practices in project management of other sectors.

The purpose of this paper is to benchmark national culture in the context of decent work practices in project-based industry of the United Arab Emirates (UAE). This should help in achieving successful short-term migration. The study also aims to validate the decent work practice indicators for Bangladeshi, Chinese, Indian and Pakistani construction labourers working in the UAE.

This study takes an ethnographic approach in its qualitative research methodology. The research involves observational methodology for its data collection during the execution of construction projects, semi-structured interviews to confirm the data collection during observational approach and a narrative methodology for the data collection within the labour camps, grassy fields and town streets. The qualitative data were expressed in quantitative terms to signify statistically the effect of the national culture in the context of decent work practices in this industry. Hence, the research involved triangulation in its data collection and analysis.

The study reveals that the national cultures of the migrant construction labourers in this context are not the same as identified by Geert Hofstede about four decades earlier. It was found that Indians were high in uncertainty avoidance, Pakistani construction labourers were high in masculinity, Bangladeshi construction labourers were low in long-term orientation (LTO) and individualism and Chinese labourers were found to have high individualism and LTO. This study verified decent work practice indicators for Indian, Pakistani and Bangladeshi construction labourers and identified different decent work practice indicators for Chinese construction labourers in the UAE than Indian, Pakistani and Bangladeshi construction labourers.

The study was limited to the construction labourers in the UAE. The data were collected during observation while execution construction projects and limited to visiting construction labour camps, grassy fields and town streets.

The differences in the national culture of the migrant construction labourers and the decent construction practices in the UAE have economic, social and environmental implications for construction labourers in the Arab world, for both migrant sending and receiving countries. Understanding and managing various national cultures and improving prevalent decent work practices would help to improve economic and social condition of the migrant construction labourers and help to arrest the advance of looming health problems.

The study identifies the national cultures of the migrant construction labourers in the context of decent work practices in the UAE. Improvement in the decent work practices of the migrant sending countries and the UAE and understanding of the culture of the migrants will help in preparing effective migration policy by both migrant sending and receiving countries. No study was found to have identified national cultures in the context of decent work practices and assessed the need for improvement in this regard.

The purpose of this paper is to examine the influence of clients' trust, opportunism and adaptation on contractual (non)cooperation with a mediating role of coordination in the construction industry.

A questionnaire was used to collect data from employees of the Pakistani construction industry. Smart partial least square (SmartPLS) has been used for analyzing the data of 270 respondents from construction projects.

The results of the SmartPLS indicate that (1) Trust and contract coordination positively while opportunism negatively influence contractor's contractual cooperation. (2) Contract adaptation and contract coordination positively influence the noncontractual cooperation of the contractor. (3) Moreover, contract coordination positively mediates the relationship between trust and noncontractual cooperation, but negatively mediates the relationship between opportunism and contract adaptation and noncontractual cooperation.

The findings of this research suggest several policy implications for administrative authorities, project managers and policymakers. These authorities need to focus on clients' trust, opportunism and adaptation because these factors significantly influence contract coordination and cooperation in the construction industry. Emphasizing these factors will enable project managers to gain economies of scale and mitigate project failure.

To the best of the authors’ search and knowledge, they did not find any study examining the mediating role of coordination between trust, opportunism, adaptation and cooperation in the construction industry. Hence, the present study advances their understanding in the field of project management and construction business.

The purpose of this study is to develop a scale for measuring housing quality in the context of Pakistan.

The inductive and deductive approaches for item generation have been combined, and items have been purified using multistage expert review. Data was collected from a sizeable purposive sample of 445 respondents, and exploratory and confirmatory factor approaches used for assessing psychometric properties of the scale.

The result is a 21-item scale covering five dimensions, namely, Design and Construction Quality, Neighborhood Quality, Adequacy of Space, Quality of Institutional Services and Proximity of Basic Amenities.

This study contributes to housing quality literature by deepening our understanding of the concept of housing quality in the context of Pakistan, the world’s fifth most populous country. The findings of the study have important implications for both theory and practice.

The key teaching objectives of the case are the following:▪ to develop an awareness of a megaproject’s external environment (through PESTLE) in terms of challenges from each source;▪ to introduce theory that allows students to identify, characterise and describe factors that can lead to inter-organisational conflict during construction projects;▪ to develop the ability to apply the typology of causal factors (identified in Objective 2) to a given context, answering why each factor may have contributed to the given contractual dispute;▪ to develop an understanding of the procurement and contract management process wherein contracts are not only the logical outcome of the procurement process but also the primary vehicles for clarifying responsibilities (for task completion) and risk transfer; and▪ to understand specific dynamics of construction projects that make disputes inevitable and ways to overcome these.

Priced at US$1.63bn (in 2015), the Orange Line Metro Train (OLMT) project in Lahore was one of Pakistan’s earliest (and costliest!) transport infrastructure megaprojects ever undertaken. Devised to ease congestion in Lahore, promote ecofriendly, efficient, modern and affordable transport systems and lead to improved mobility across Lahore, the OLMT was a socially, politically and economically important project.The case is seen through the eyes of the protagonist, Uzair Shah, a seasoned public servant and an experienced Transport Engineer. At the time of the decision, Shah was General Manager – Operations at the newly established Punjab Metrobus Authority (PMA – the project sponsor) and was also the project lead of OLMT’s Project Management Unit (PMU). Through Shah’s eyes, students approach the project at a juncture when the most serious contractual dispute in the project’s history has erupted. The parties at the interface were Lahore Development Authority (LDA), PMU’s technical interface with contractors and consultants and Maqbool-Colson Joint Venture (MCJV), one of the two civil work contractors hired for OLMT’s civil works.While quality issues had been emerging with MCJV for a few months, LDA had maintained unilateral communications and remained considerably adversarial in their dealings with MCJV. Eventually, in October 2016, this relationship had soured to such an extent that it appeared irreconcilable. It was only then that LDA had recommended Shah to take the contractor to court for non-performance.The decision that Uzair faced was whether to take LDA’s advice and take the contractor to court (terminate the contract, claim performance guarantee and appoint a new contractor) or negotiate and continue with the current contract. The decision had huge financial, legal, reputational, political and schedule-related implications. The decision needed to be taken by the protagonist in the context of all these factors.

The case was initially developed for use within a Procurement and Contracts Management course for a (business) executive audience. The case is intended for the business school audience or students enrolled in courses related to the construction management discipline.Courses where the case can be used include Construction Project Management, Public Sector Projects, Contracts and Procurement and Strategic Projects and Practice (or similar). The case can also be used within an MBA setting.

Teaching notes are available for educators only.

CSS: 9: Operations and Logistics.

Earned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously developed to improve the accuracy and actualization of predicted values. This study primarily aimed to examine natural gradient boosting (NGBoost-2020) with the classification and regression trees (CART) base model (base learner). To the best of the authors' knowledge, this concept has never been applied to EVM AD forecasting problem. Consequently, the authors compared this method to the single K-nearest neighbor (KNN) method, the ensemble method of extreme gradient boosting (XGBoost-2016) with the CART base model and the optimal equation of EVM, the earned schedule (ES) equation with the performance factor equal to 1 (ES1). The paper also sought to determine the extent to which the World Bank's two legal factors affect countries and how the two legal causes of delay (related to institutional flaws) influence AD prediction models.

In this paper, data from 30 construction projects of various building types in Iran, Pakistan, India, Turkey, Malaysia and Nigeria (due to the high number of delayed projects and the detrimental effects of these delays in these countries) were used to develop three models. The target variable of the models was a dimensionless output, the ratio of estimated duration to completion (ETC(t)) to planned duration (PD). Furthermore, 426 tracking periods were used to build the three models, with 353 samples and 23 projects in the training set, 73 patterns (17% of the total) and six projects (21% of the total) in the testing set. Furthermore, 17 dimensionless input variables were used, including ten variables based on the main variables and performance indices of EVM and several other variables detailed in the study. The three models were subsequently created using Python and several GitHub-hosted codes.

For the testing set of the optimal model (NGBoost), the better percentage mean (better%) of the prediction error (based on projects with a lower error percentage) of the NGBoost compared to two KNN and ES1 single models, as well as the total mean absolute percentage error (MAPE) and mean lags (MeLa) (indicating model stability) were 100, 83.33, 5.62 and 3.17%, respectively. Notably, the total MAPE and MeLa for the NGBoost model testing set, which had ten EVM-based input variables, were 6.74 and 5.20%, respectively. The ensemble artificial intelligence (AI) models exhibited a much lower MAPE than ES1. Additionally, ES1 was less stable in prediction than NGBoost. The possibility of excessive and unusual MAPE and MeLa values occurred only in the two single models. However, on some data sets, ES1 outperformed AI models. NGBoost also outperformed other models, especially single models for most developing countries, and was more accurate than previously presented optimized models. In addition, sensitivity analysis was conducted on the NGBoost predicted outputs of 30 projects using the SHapley Additive exPlanations (SHAP) method. All variables demonstrated an effect on ETC(t)/PD. The results revealed that the most influential input variables in order of importance were actual time (AT) to PD, regulatory quality (RQ), earned duration (ED) to PD, schedule cost index (SCI), planned complete percentage, rule of law (RL), actual complete percentage (ACP) and ETC(t) of the ES optimal equation to PD. The probabilistic hybrid model was selected based on the outputs predicted by the NGBoost and XGBoost models and the MAPE values from three AI models. The 95% prediction interval of the NGBoost–XGBoost model revealed that 96.10 and 98.60% of the actual output values of the testing and training sets are within this interval, respectively.

Due to the use of projects performed in different countries, it was not possible to distribute the questionnaire to the managers and stakeholders of 30 projects in six developing countries. Due to the low number of EVM-based projects in various references, it was unfeasible to utilize other types of projects. Future prospects include evaluating the accuracy and stability of NGBoost for timely and non-fluctuating projects (mostly in developed countries), considering a greater number of legal/institutional variables as input, using legal/institutional/internal/inflation inputs for complex projects with extremely high uncertainty (such as bridge and road construction) and integrating these inputs and NGBoost with new technologies (such as blockchain, radio frequency identification (RFID) systems, building information modeling (BIM) and Internet of things (IoT)).

The legal/intuitive recommendations made to governments are strict control of prices, adequate supervision, removal of additional rules, removal of unfair regulations, clarification of the future trend of a law change, strict monitoring of property rights, simplification of the processes for obtaining permits and elimination of unnecessary changes particularly in developing countries and at the onset of irregular projects with limited information and numerous uncertainties. Furthermore, the managers and stakeholders of this group of projects were informed of the significance of seven construction variables (institutional/legal external risks, internal factors and inflation) at an early stage, using time series (dynamic) models to predict AD, accurate calculation of progress percentage variables, the effectiveness of building type in non-residential projects, regular updating inflation during implementation, effectiveness of employer type in the early stage of public projects in addition to the late stage of private projects, and allocating reserve duration (buffer) in order to respond to institutional/legal risks.

Ensemble methods were optimized in 70% of references. To the authors' knowledge, NGBoost from the set of ensemble methods was not used to estimate construction project duration and delays. NGBoost is an effective method for considering uncertainties in irregular projects and is often implemented in developing countries. Furthermore, AD estimation models do fail to incorporate RQ and RL from the World Bank's worldwide governance indicators (WGI) as risk-based inputs. In addition, the various WGI, EVM and inflation variables are not combined with substantial degrees of delay institutional risks as inputs. Consequently, due to the existence of critical and complex risks in different countries, it is vital to consider legal and institutional factors. This is especially recommended if an in-depth, accurate and reality-based method like SHAP is used for analysis.

Earned Value Management (EVM) is widely used as a project performance measurement and forecasting technique. Nonetheless, it has not been fully explored in Pakistani construction industry; where conventional progress reporting methodology (CPRM) is being followed having certain confines. It reports only the financial progress of a project, expresses feeble association between the duration and cost of activities, and forecasts flawed schedule and completion cost. This research implements EVM on under-construction building projects in Pakistan, and compares its upshots with the projects' actual records and with the outcomes of CPRM.

To assess the implementation of EVM on building projects, a set of specific criteria was established. Work Breakdown Structure, Organization Breakdown Structure and Control Points were established. The study has compared the EVM metrics with CPRM outcomes on three under-study building projects, and has deliberated on their mutual differences as well as their relationship with actual cost and schedule performance. Monthly figures of actual spending and completed activities were periodically recorded and compared with planned values for status indication. The graphs were generated to observe the correlation between the results of EVM and CPRM. The data was then extrapolated to forecast the schedule and cost values at completion.

The study discovered that trends of EVM in quantifying the project's cost and schedule performance were strongly correlated and were closer to the actual progress. It has also verified the EVM's soundness in forecasting the cost and schedule, required for project's completion. Contrarily, CPRM metrics could not precisely visualize the current and future, cost and schedule performance.

The case study concludes that EVM's incorporation in progress reporting regime can revolutionize the assessment procedures in Pakistan by rightly indicating the project's current status as well as visualizing the future performance. The study's methodology can also be extrapolated in other countries having similar work environment and economic conditions.

Given a baffling contradiction that the availability of safety knowledge may not necessarily lead to workers' safety behavior, this study aims to develop an exploratory two-step working model of safety knowledge in translating safety climate into safety behavior. In particular, this study highlights the importance of articulating tacit safety knowledge and improving workers' systematic problem solving (SPS) capacity in a favorable safety climate.

This study uses 110 valid responses from Pakistan-based construction workers to test five hypotheses which embody the exploratory two-step working model of safety knowledge. The partial least squares structural equation modeling (PLS-SEM) is used to analyze the data.

The results of this study support the two-step working mechanism of safety knowledge in translating safety climate into safety behavior. Furthermore, results suggest that safety climate as a job resource facilitates converting construction workers' tacit safety knowledge into explicit safety knowledge (i.e. safety knowledge articulation) and then enabling them to spot non-conformities in safety management practices (i.e. SPS) and consequently to work safely (i.e. safety behavior).

The study has both theoretical and practical significance. In theory, it extends organizational learning theory and job demands-resources (JD-R) theory in the construction safety research domain and elaborates on the mediating role of safety knowledge articulation and SPS for the relationship between safety climate and safety behavior. In practice, it highlights the importance of continuous articulation of tacit safety knowledge and accumulation and use of explicit safety knowledge in construction safety management practices.