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The purpose of this paper is to use survey data to rank the relative importance of perceived factors that inhibit the transfer of knowledge across projects and examine the statistical relationship between various “higher order” dimensions of project management competencies and project efficiency among a sample of project-based firms (PBFs).

The research philosophical approach adopted was post-positivism, a half-way house between positivism and phenomenological approaches. The author used a largely structured survey questionnaire with an inclusion of few open-ended items. The survey data collected were largely based on the “perceptions” of mostly experienced project management practitioners, whose perspectives on project processes and performance are likely to be more dependable. Because of budget limitations, a total of 260 questionnaires were mailed to randomly selected PBFs (with an enclosed self-addressed and stamped return envelope). Of the 260 questionnaires sent to PBFs, 58 questionnaires were returned, representing a return rate of just over 22 percent.

Results indicate that “high time pressures towards the end of the project,” “too much focus on short-term project deliverables,” and “fear of negative sanctions when disclosing project mistakes” were three top-ranked factors that inhibited knowledge transfer across projects. Some “higher order” project management competencies like “dynamic competencies” have relatively a greater impact on predicting project efficiency. Dynamic competencies will only continue to increase in importance as today’s project environments are characterized as continuously evolving, turbulent, and complex and require the need to be effective in dealing with various uncertainties. Once included in the regression equation, the “ownership variable” dominates all other explanatory variables in predicting project efficiency among a sample of PBFs in the United Arab Emirates (UAE), most likely driven by the project management competencies of multinational corporations (MNCs). However, the project efficiency of state-owned PBFs did not differ significantly from that of “international firms that were not MNCs.” Specific conditions may have led to such an outcome. The author shows that enhancing project efficiency requires the reinforcement of multiple but specific factors.

As the study was largely conducted on a limited budget and time frame, the author was not able to employ a multi-method approach. The inclusion of a few case studies would have facilitated triangulation of the current findings. In addition, the study captures “perceptions” and practical experiences of project management practitioners. Future studies could possibly develop what may be seen as “objective” measures of project learning and project management competencies. A larger survey supported by a larger budget would be one option in which some of the findings could be tested across PBFs located in different sectors and countries.

The author argues that the creation of a client-led “no-blame culture” within PBFs can ensure the development of a “safe” environment in which project team members can acknowledge project mistakes without the fear or danger(s) that may come with such admission. This may require changes in project organizational culture that reduces power distance, lowers sensitivity to hierarchal power relations, enhances team building efforts, and fosters a “learning climate” that tolerates “trial and error” experimentation. It may also require strengthening clients’ specific capabilities. Such change may require time and patience but could take advantage of “positive” aspects of participatory practices, personal relationships, and consensus decision-making approach that is prevalent in the UAE culture. One managerial implication points to the need to tailor scarce resources in building up multi-dimensional “higher order” competencies like “dynamic competencies” that have a relatively higher significant impact on enhancing project efficiency. Linking MNCs with local PBFs as collaborative mega project delivery partners may lead to enhancing project management competencies of the latter, conditional on their absorptive capacity.

The contribution of the paper is in providing survey-based empirical evidence that goes beyond case studies to highlight the importance of enhancing “higher order” project management competencies, such as “dynamic competencies,” that have a stronger predictive power of project efficiency in PBFs. The study also ranks the relative importance of various factors that inhibit the transfer of new knowledge across projects. To the author’s knowledge, this is the first study that has demonstrated the statistical relationship between “higher order” project management competencies and project efficiency. Project efficiency is a multi-faceted construct. Its strengthening is determined by a configuration of multiple but specific factors. A more “nuanced” understanding of the relationship between project management competencies and project efficiency in a particular context may be required.

The success of projects clearly relies on project management personnel and particularly on project managers. Their performance and capacities are based on the achieved competencies. The purpose of this paper is to address possible discrepancies between the views arising from the research results and standards of practice related to project managers’ competencies.

For reaching the aim of the study, a comprehensive literature review, covering previous studies and related standards of practice was conducted, and analyses of competencies in the studies and standards of practice containing the rank of competencies based on frequency of appearance were developed.

The findings are proposing four discrepancies between the results of previous studies and standards of practice: commonly existing/missing competencies; uneven priority of some competencies in the view of researchers vs standards of practice; uneven degree of consensus on the importance of competencies; and research results are more context-oriented than the standards of practice. In addition, 98 project managers’ competencies were identified, from which 68 were qualified as weighty ones. Moreover, a categorization of project managers’ weighty competencies was developed. Finally, a list of competencies of relevance for different project types and their targets is presented.

The findings of this study provide a contribution with respect of present knowledge over project managers’ competencies by recognizing certain discrepancies between research results and standards of practice. Another contribution of the study is the comprehensive list of competencies together with considerations of their relevance in different project contexts and in different project types.

The past few decades have produced a number of investigations into the correlation between project managers’ competencies and project success. As a result, competencies lists have become extensive “shopping lists.” The purpose of this paper is to define the most important competencies to project success and investigate their correlations.

The authors surveyed project managers on the importance of 28 project manager competencies to project success. Data were analyzed using univariate and multivariate procedures.

Data show that communication, commitment and leadership appear as the three most relevant aspects. Multivariate analysis identified seven groups of competencies: leadership, self-management, interpersonal, communication, technical, productivity and managerial.

The results confirm a growing trend toward soft skills and reinforce the need for an update on project management education to fill the gap between theory and practice.

Project manager competencies lists have become too extensive, and the field is in constant change; therefore, this study updates the discussion and downsizes the number of competencies to fewer, more relevant items.

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.

Project managers' competencies contribute toward project success in a considerable manner. The significance of technical competencies' (TCs) contribution toward success in Oil and Gas (O&G) projects is even higher due to the complexity and the technology-intensive nature of these projects. However, technical competencies have often been overlooked in favor of behavioral competencies or simply identified and listed in terms of their significance. Thus, there is currently very limited research-based knowledge concerning the contribution mechanisms of technical competencies toward project execution success. Hence, the aim of this study is to explore the contribution mechanisms of TCs toward success in O&G projects.

A case study was employed as the research strategy through which data was collected from project professionals in O&G projects in the Kingdom of Bahrain using semi-structured interviews. Transcripts of the interviews were then analyzed through thematic analysis method with the aid of NVIVO 12.

The findings reveal six mechanisms through which technical competencies of project managers contribute toward execution success in O&G projects. TCs not only act as a launch pad toward project success, but also help in optimizing engineering designs throughout the project life cycle.

Instead of simply identifying and listing TCs, the obtained results enhance our current understanding of their contribution mechanisms toward project success in O&G projects.

Over the last few decades, a large number of research studies have been carried out on project manager's leadership competencies. However, systematic literature reviews are still scarce in the project management literature. Therefore, the purpose of this article is to conduct a systematic literature review on project manager's leadership competencies based on published empirical research studies.

The authors employed a systematic literature review (SLR) methodology to synthesize research in a rigorous manner and a total of 1,780 articles were identified in the first step and a final sample of 60 research studies were synthesized.

Synthesis of the findings in this SLR on project manager's leadership competencies revealed: (a) there is a lack of categorization or ranking of leadership competencies; (b) 20 research studies (46%) were conducted with sample sizes of less than 100; (c) only a few research studies (<10%) used interview data for analysis; and (d) none of the research studies reported adoption of a triangulation method.

This study synthesized clusters of leadership competencies and prioritized project manager's leadership competencies as “high priority”, “moderate priority” and “low priority”. We recommend a sample size between 200 and 300 to produce sophisticated results and enhance the credibility, generalizability and validity of clusters and priorities of project manager's leadership competencies through future research.

Future research studies are suggested to consider systematic literature review combined with face-to-face and group interview in addition to employing triangulation methods. Besides highlighting implications for practitioners, this SLR has advanced the understanding of how to conduct systematic literature reviews in a robust manner.

The study investigates the effects of core self-evaluations on project managers' competencies. The study further examines the moderating effect of cultural intelligence between core self-evaluations and competencies.

In this study, with a descriptive-survey approach, necessary data were collected from a sample of project managers of Iran's Ministry of Communication and Information Technology through questionnaires. The conceptual framework of the study was tested according to structural equation modeling by PLS software.

Findings show that core self-evaluations have positive and significant effects on project managers' competencies among which psychological stability has the greatest effect. Furthermore, the moderating role of cultural intelligence in the relationship between core self-evaluations and project managers' competencies was confirmed. According to the calculated coefficient, motivational cultural intelligence had the greatest role.

The data were collected using a questionnaire at a single point in time, and thus, not allowing cause–effect inferences. Also, the demographic variables were not controlled.

The results of this study provide some implications for HRM professionals and project managers interested in promoting a system of HR practices that contributes to enhancing project managers' competencies and effectiveness.

This study advances our understanding of the factors that have an effect on project managers' competencies, specifically on a list of main competencies necessary for project managers' performance. Moreover, it suggests that project managers' competencies will benefit from cultural intelligence, which will display a greater effect when embedded in highly diverse cultural contexts.

This study aims to explore the relation between barriers and project sustainability by adding competencies in the mediating role.

The study uses a mediation model including project sustainability as the dependent variable, sustainability barriers as the independent variable and project managers' sustainability competencies as the mediator variable. Data were gathered from project managers, executive teams, and experts/advisors, working in Egyptian higher education enhancement projects (HEEPs) using self-administered questionnaires; the total number collected was 159, representing a response rate of 93.5 percent. Correlations and multiple regression analysis were employed to analyze the mediation impact of project manager's sustainability competencies.

The results indicate that sustainability competencies mediate the relation between barriers to sustainability and project sustainability. Sustainability competencies facilitate project achievements, and the sustainability and future expansion of these achievements. The analysis suggests that “continuous competencies” are extremely important, more so than “self-competencies”.

This study was undertaken at the level of the projects management unit in the Egyptian Ministry of Higher Education, which manages the HEEPs.

The analysis helps to understand the complex and nuanced nature of the projects; these are distinguished when the author considers the different practices.

This study offers two principal contributions: first, a guideline for the development, measurement, and application of an uncommon concept of project sustainability; second, a concept of project managers' sustainability competencies and barriers to sustainability.

Increased construction risk due to the complexity and numerous construction performance challenges requires improved construction project managers’ competence. However, contextual interrogation of these competencies is limited. This paper aims to report on a study that sought to determine the expected competencies of construction project managers and assesses the existence of statistically significant differences due to gender, designation and educational levels of respondents.

A quantitative research design was instituted through the administration of a questionnaire survey on Project Managers, Architects, Engineers and Quantity surveyors working for consultants and contractors’ organizations. Descriptive and inferential statistics analysed significant differences due to demographic variables. Factor analysis was also used to reveal interrelated significant sets of competencies expected of construction project managers.

Factor analysis determined 11 significant components with the highest-ranked components comprising organizational savvy and experience in managing project constraints. The univariate analysis determining effective communication, leadership and good team-building skills as being the three most critical expected competencies. Significant differences due to educational levels were established, with shortcomings existing in those with Diplomas.

The higher education institutions need to establish curricula designs that align with the competency expectations. Mentorship programmes within construction organizations can also be significant in bridging the existing competence gap. However, due to the exploratory nature of the study, the insights of clients were not considered.

The study determined competencies for construction project managers and demographic-specific interventions.

Project manager’s competency is crucial in the construction sector for the successful completion of projects, particularly in the case of developing countries like Nepal. Therefore, it is very essential to select competent project managers by finding the competency factors required by them. Hence, this study aims to identify the characteristics of competent project managers by expert opinion method and to evaluate their competency level by a questionnaire survey to develop a prediction model using a supervised machine learning approach via Waikato Environment for Knowledge Analysis (WEKA), a machine learning tool which predicts Project manager’s performance as “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal (from US$200,000 up to US$10M).

The data collection procedure for this research is based on an expert opinion method and survey. Expert opinion method is conducted to find the characteristics of a competent project manager by validating the top 15 competency factors based on literature review. The survey is conducted with the top management to assess their project manager’s competency level. Both qualitative and quantitative approaches are used to collect data for classification and prediction in WEKA, a machine learning tool.

The results illustrate that the project managers in Nepal have a high score in leadership skills, personal characteristics, team development and delegation, communication skills, technical skills, problem-solving/coping with situation skills and stakeholder/relationship management skills. Furthermore, among the seven classifiers (naïve Bayes, sequential minimal optimization [SMO], multilayer perceptron, logistic, KStar, J48 and random forest), the accuracy given by the SMO algorithm is highest of all in both the percentage split and k-folds cross validation method. The model developed using SMO classifier by k-folds cross-validation (k = 10) is acknowledged as a final model.

This research focuses to develop a prediction model to predict and analyze the competency of project managers by applying a supervised machine learning approach. Seven extensively used algorithms (Naïve Bayes, SMO, multilayer perceptron, logistic, KStar, J48, random forest) are used to check the accuracy of models and an algorithm that gives the highest accuracy is adopted. Data collection for this research is carried out by expert opinion method to validate the characteristics (factors) essential for competent project managers in the first round and the description of each factor as high, medium and low is inquired with the same experts in the second round. After an expert opinion, a structured questionnaire is prepared for the survey to assess the competency level of project managers (PMs). The competency level of PMs working under government funded, foreign aided or private projects from the contractor’s side is measured. This research is limited to the medium scale construction projects of Nepal.

This model can be a huge asset in the human resource department of construction companies as it helps to know the performance level of project managers in terms of “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal. Also, the model will assist human intelligence to make the decision while recruiting a new project manager/s for different types of projects at a time. Moreover, the model can be used for self-assessment of project manager/s to know their performance level. The model can be used to develop a user friendly interface system or an application such that it can be conveniently used anywhere any time.

This research shows that most of the project managers working in a medium complexity construction project of Nepal are male, maximum of them hold bachelor’s degree and study for road projects. Furthermore, most of the project managers scored high in leadership skills, personal characteristics, communication skills, technical skills, problem-solving/coping with situation skills, team development and delegation and stakeholder/relationship management skills. The model has given the “Personal characteristics” attribute the highest weightage. Likewise, other attributes having high weightage are communication skills, analytical abilities, project budget, stakeholder/relationship management, team development and delegation and time management skills.

This research was conducted to find the competency factors and to study the competency level of project managers in Nepal to develop a prediction model to predict the PM’s performance using a machine learning approach in medium scale construction projects. There is a lack of research to develop a model that predicts project manager’s competency using the machine learning approach. Therefore, the predictive model developed here helps in the identification of a competent project manager as it will be advantageous for project completion with a high success rate.