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Maturity models have been widely adopted as a popular framework for improvement project management practices. Despite their prevalence, there is still minimal evidence that improvements in maturity correspond to improvements in performance or value. This paper aims to explore the challenges faced in applying project management maturity models and offers suggestions for their revision.

The paper highlights the presumptions in their development and use that are inhibiting relevance of maturity models. Case studies from a major research project explore the relationship between maturity and value. Insights are generated on how project management maturity models need to change in order to become relevant.

Project management maturity models presume that project management is universal, control oriented and consistent, and that maturity is a linear process. Empirical evidence demonstrates that the practice of project management varies, that different practices result in different value. The paper suggests that a contingent and contextual approach to assessment is required, which maturity models as currently defined may not be able to support.

This is a largely conceptual paper and draws on a limited number of case studies that derived maturity from a comprehensive understanding of project management practices. It is not tied to one specific model, and a model that would address the criticisms discussed here has not been conceived or developed.

This paper will have particular relevance for organizations, who may place excess faith in the rhetoric surrounding maturity models without questioning their underlying relevance or value. It is also of importance to those who develop maturity models and suggests strategies for their significant revision.

This paper takes an important look at whether maturity models actually deliver on their promise and argues that by both design and structure, they are unlikely to do so in their current form.

Claim formation is a fact and a regular occurrence in construction industry projects and often leads to a waste of money and time for organizations. Organizations can, however, reduce and control claims by promoting an integrated claim management system and improving productivity in the results of the claims. Establishing a claim management office is one of the ways to help organizations achieve this.

Based on library research, expert opinion and analysis of organizations' contracts as case studies and identifying the root causes of the claim, this paper proposes a claim management office maturity model and determines its levels.

This paper proposes a claim management office maturity model and also determines its levels. The general structure of this model is based on three parameters: “characteristics of each level,” “requirements of each level” and “transition period of each level” in five levels, where the first level is the most basic level and level five is the highest level of the implementation of a claim management office in the organization.

It can be clearly emphasized that this research is one of the first research studies that has dealt with the issue of claim management office in the construction industry and has proposed the model of maturity and development of claim management office in the organization. The use of numerous and experienced experts in achieving the results and case organizations to develop this research has increased the value and credibility of this research. This study also helps to improve the level of claim management in construction industry organizations so that these organizations can implement each level of claim management maturity model in the organization according to their competence and need for claim management. And by implementing it correctly, solve or reduce the problems of claim management in the organization and their projects.

The conceptual and modularization of project management maturity models is based on the principle of process control. This research was designed to challenge these boundaries to reveal non-process factors. The paper aims to discuss these issues.

A multimethod research design was used with a “qual⇒Qual” sequence. This is a development in MM design theory, with its reliance on an initial qualitative stage that, despite being first, is insufficient to collecting sufficient data to answer the research question. A second stage, involving a more dominant qualitative, is necessary.

Multiple non-process factors are attributed to a mature project management capability responsible for undefined projects. They include “human factors” such as trust, attitude, motivation and attitude, along with increased customer involvement and a more adaptable organizational environment.

The challenge put forward in this research was for project management maturity theorists to recognize the possibility of finding maturity in a project management capability responsible for undefined projects. This challenge has been met. The focus can now turn to other environments where other project types (undefined or not) are also being managed using processes (and/or practices) that are not necessarily definable, repeatable, predictable and unique to that setting.

An adaptable model has been created that contains multiple factors that can be used in their current relationships or changed to accommodate multiple project and project management scenarios. Further work will create weights for each factor that will further specify the relative value of each, thereby enhancing the adaptable nature of the model.

The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of tools to integrate their knowledge process capabilities (KPC) with their project management (PM) to measure maturity by assessing these capabilities. Various project management maturity (PMM) models exist. Yet, there is a limited number of empirical studies that support the four integrations of KPC and PMM. Therefore, this study aims to propose a new heretical model, namely, KPC-knowledge management (KM) and evaluates a research model that includes the four KPC as an antecedent to PMM.

The suggested research model is assessed by using partial least squares structural equation modeling. Furthermore, the study's hypotheses were examined based on a sample of 352 respondents from the project management departments in 10 public universities in Yemen.

Analysis revealed that the derived PMM status could be benchmarked with the project management maturity model. Also, the study found that integrating the KPC into PM enables the institutions to perform critical tasks and value chain activities and enhance the PM maturity level as well. In contrast, if one of the capabilities does not positively impact PMM, it affects the maturity level of the entire project.

The findings are obtained concerning data collected from public universities and represent the Yemeni context, limiting the generalization on a different geographical area. Also, this proposed model can be evaluated in a practical way like conducting a focus group, a set of interviews with specialists, a case study or action research. The qualitative research will help academics to validate our proposal for future research purposes.

The proposed approach may be adapted to the characteristics of organizations involved in projects as external performers (project-based organizations) and not just the HEIs projects. This study provides managers and policymakers with insights into assessing PMM and improving their organizational effectiveness when deciding which KPCs to focus on in the future.

This study contributes to the current PM awareness in Yemen and facilitates its success using the knowledge processes capabilities in Yemen's HEIs. It encourages organizations to take this opportunity to revive the projects and achieve a maximum level of maturity.

This study provides new insights into two domains through the link between knowledge management and PM. To the best of the authors' knowledge, this paper is among the first to empirically study the impact of the four KPC toward PMM. It enriches the theoretical perspective of PM. Also, it contributes to the literature on the success factor of KPC, which can be considered to improve organizational performance.

This paper aims to examine the notion of maturity assessment and maturity models more broadly and goes on to examine the findings from the assessments of project, programme and portfolio maturity undertaken across Australian Government agencies.

A statistical analysis was performed to determine the level of maturity that best represents the Australian Federal Government agencies as a whole. The unit of analysis in this study is the agencies overall scores in each sub-model across the seven perspectives of the portfolio, programme and project management maturity model (P3M3) maturity model.

This study has identified a number of interesting findings. First, the practices of project, programme and portfolio across the dataset practiced independently of each other. Second, benefits management and strategy alignment practices are generally poor across Australian Government agencies. Third, programme management practices are the most immature. Finally, the results showed a high sensitivity to the “generic attributes” of roles and responsibilities, experience, capability development, planning and estimating and scrutiny and review.

All data used in this analysis are secondary data collected from individual Australian Government agencies. The data were collected by accredited consultants following a common data collection method and using a standard template to ensure a consistent approach.

The study poses some implications for practice, particularly given the context of Australian Federal Government agencies current plans and action to improve organisational maturity. The study suggests that benefits management processes at the project level and benefits management, governance and stakeholder management processes at the programme level should be an area of focus for improvement.

This study is the first attempt to systematically review the data collected through such an assessment and in particular identify the findings and the implications at a whole of government level.

The factors for higher education institutions’ (HEIs) project management failure have been studied for several years. One of the issues is a lack of tools to combine their knowledge infrastructure capabilities (KIC) with project management (PM) to examine these infrastructures and monitor maturity. There are several project management maturity (PMM) models available. However, there are just a few empirical studies that support the three knowledge infrastructure capabilities and PMM integrations. As a result, the current research aims to suggest a new conceptual model, KIC-knowledge management (KM), and assess a research model that includes the three knowledge infrastructure capabilities as a prerequisite to elevate the PMM.

Partial least squares structural equation modeling (PLS-SEM) is used to evaluate the proposed research model. The study’s hypotheses were also examined using a sample of 352 respondents from PM departments at ten Yemeni public universities.

The study found that if the three key knowledge infrastructure capabilities integrate into the PMs, then it will help HEIs to perform project tasks more effectively and efficiently. Also, it will improve the PM maturity level if all the three capabilities positively effect PMM.

The study findings cannot be generalized to other industries because the collected date were with the Yemeni public universities’ context. Also, the new proposed model can be assessed in various sectors to increase the validity of the model. One more thing, future academics can conduct qualitative research study to validate again the proposed model.

Project managers can develop and improve their organization’s effectiveness and performance by focusing on these findings and using the developed model. Also, the findings of this study can be used as a benchmark for evaluating initiatives and knowledge-based governmental entities.

It is an opportunity for knowledge-based governmental entities particularly and other organizations to elevate most of projects to achieve a supreme level of maturity. Also, this study will assist employees to understand the relationship between KICs and projects within HEIs in Yemen.

This paper is among the first to empirically study the impact of the three knowledge infrastructure capabilities toward PMM. It links between two important domains: KM and PM.

The purpose of the paper was to conduct an empirical investigation to explore the impact of project management maturity models (PMMMs) on improving project performance.

The investigation used a cross-case analysis involving over 90 individuals in seven organisations.

The findings of the empirical investigation indicate that PMMMs demonstrate very high levels of variability in individual's assessment of project management maturity. Furthermore, at higher levels of maturity, the type of performance improvement adopted following their application is related to the type of PMMM used in the assessment. The paradox of the unreliability of PMMMs and their widespread acceptance is resolved by calling upon the “wisdom of crowds” phenomenon which has implications for the use of maturity model assessments in other arena.

The investigation does have the usual issues associated with case research, but the steps that have been taken in the cross-case construction and analysis have improved the overall robustness and extendibility of the findings.

The tendency for PMMMs to shape improvements based on their own inherent structure needs further understanding.

The use of empirical methods to investigate the link between project maturity models and extant changes in project management performance is highly novel and the findings that result from this have added resonance.

The purpose of this paper is to define the integration capability dimensions and create a model for self-assessing the integration capability in inter-organizational projects.

A theoretical construct of, referred in this study as integration capability framework is elaborated following a systematic literature review. Thereafter, an integration capability self-assessment model, based on maturity thinking, is derived from the theoretical framework. The self-assessment model is further developed and tested for validity within five inter-organizational project networks in cooperation with industry practitioners, representing construction, industrial engineering, and mining sectors.

The results show that inter-organizational projects can use the developed model in self-assessing the maturity levels of various integration mechanisms, thus the state of integration capability at any point in time during inter-organizational projects.

This study is an attempt to identify how the integration capability dimensions can be self-assessed in inter-organizational projects, through the maturity levels of various integration mechanisms. The results offer insights for both academics and project management practitioners.

The purpose of this paper is to contribute to the empirical research on project management (PM) maturity assessments, specifically based on a maturity model.

The empirical data are based on a case study including in-depth interviews with a semi-structured approach, followed by a focus group interview. A survey was distributed within a project-based organisation (PBO) and to client and stakeholder representatives, and then analysed. The organisation in the case study is a project department within a Swedish mining company.

Careful considerations are needed when choosing a PM maturity model (PM3) as the model structure can influence the assessment’s focus. It is also important to include both internal and external project stakeholders in the assessment to achieve an efficiency and effectiveness perspective when analysing PM capabilities. Valid information from an assessment is crucial, therefore, clear communication from management is important in order to motivate the participants in the assessment.

Improved understanding for implementing and applying a PM3 contributes to the increased knowledge of drivers, enablers and obstacles when assessing PM maturity, which also creates a basis for further research initiatives.

An increased knowledge of drivers, enablers and obstacles should be valuable for practitioners introducing and applying a PM3.

Projects are a common way of working in many businesses. Activities which aim to improve PM capabilities should contribute to more effective and efficient project performance.

This case study gives an in-depth insight into the implementation of a PM3 within a PBO. Through conducting a literature review, it was found that this type of empirical research is rare.

The purpose of this paper is to introduce an alternative approach of measuring construction industry performance using maturity modeling. The focus is on introducing a newly developed maturity model referred to as the construction industry macro maturity model (CIM3) and highlighting its use by assessing the maturity of the construction industry of the Province of New Brunswick, Canada.

Current methods of construction industry performance measurement such as labor productivity and competitiveness are briefly reviewed, highlighting their weaknesses. The theoretical underpinnings of the CIM3 are discussed and the implementation of the CIM3 to measure the cost and quality management maturity of the New Brunswick construction industry is presented.

An assessment of the construction industry's maturity using the CIM3 provides a leading indication of performance. This is based on the industry being structured according to key practices areas that contain key practices. The industry's key practices are linked to objectives that lead to the achievement of performance goals. The maturity of the construction industry with respect to its key practices is a function of the relative importance of the key practices and the capabilities of the industry in implementing the key practices. Based on this, the implementation of the CIM3 in New Brunswick found that the NB construction industry is more mature in cost management than in quality management.

This paper contributes to the existing body of knowledge on industry performance measurement, and more particularly, construction industry performance measurement. The concept of maturity modeling applied here promotes and demonstrates the use of leading indicators of performance, as recommended in most performance measurement literature.