Project Management Maturity Models

2018 ◽  
Vol 8 (2) ◽  
pp. 19-38 ◽  
Author(s):  
Brian J. Galli

In today's highly dynamic and rapidly changing business landscape, project constraints are continuously increasing regarding cost, time, level of customer satisfaction, and return on investment. Project-related issues are also increasing due to increased complexity, increased number of stakeholders, and extensive parameters. Recently, the project management community has shown interest in developing methodologies for project management to increase success in business organizations. Several project management models are introduced. In this article, different project management maturity models are analyzed and compared to determine any overlap or discrepancies between them. Moreover, the article aims to reveal the needs for the project to start, and the needs to evolve. The design of new maturity models on both team and organizational levels are used as a roadmap to pursue an organizational project. Finally, this article presents and outlines a uniform maturity model that unifies the best elements of all of the common singular maturity models.

2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.


10.28945/3158 ◽  
2007 ◽  
Author(s):  
Aneerav Sukhoo ◽  
Andries Barnard ◽  
Mariki Eloff ◽  
John Andrew van der Poll

Software project management is a relatively recent discipline that emerged during the second half of the 20th century (Kwak, 2003). Many of the software project management methodologies available today were developed in Western/European countries and research showed that there was a need to formalise a software project management framework for developing countries, in particular Africa (Muriithi & Crawford, 2003). Based on surveys and discussions with software professionals, a methodology for software project management is being proposed. The methodology is based on a maturity model as Mauritius is faced with a shortage in skilled professionals. So far, few organisations in Mauritius have been found to be using software project management methodologies developed in Western/European countries. Most maturity models, for example Capability Maturity Model Integration (CMMI) and Kerzner’s maturity model, have five maturity levels. The trend is towards the development of maturity models that have fewer maturity levels. For example, the Organisational Project Management Maturity Model (OPM3) and Prince 2 Maturity Model have been developed with three maturity levels.


2000 ◽  
Vol 31 (2) ◽  
pp. 38-47 ◽  
Author(s):  
Young H. Kwak ◽  
C. William Ibbs

This paper describes a procedure that can help managers measure their return on investment for project management (PM/ROI). Current PM processes and practices of 38 different companies and government agencies in 4 different industries or application areas were quantitatively examined. A PM benchmarking procedure was developed and used to assess the PM process maturity of these different organizations. A 5-level Berkeley PM process maturity model is introduced. This information is used to measure the relative sophistication and maturity of different organizations and industries.


2018 ◽  
Vol 9 (1) ◽  
pp. 01-23
Author(s):  
Jana Kostalova ◽  
Libena Tetrevova

Project management maturity greatly influences the success rate of the project implementation. However, available project management maturity models (PMMMs) are costly, time-consuming and demanding in terms of organization and competence when it comes to application. Moreover, there is no PMMM that evaluates in detail the usage of recommended project management methods and tools. The goal of this article is to design a user-friendly PMMM that would evaluate the project management maturity based on assessment of the usage of project management tools and methods within each stage of project life cycle taking into account the predominant type of projects implemented. The authors used the critical and comparative analysis, based on that the available project management maturity models were assessed and the new PMMM was designed using analogy, deduction, and induction, based on the synthesis of the acquired knowledge combined with the expert experience of the practitioners. It is a unique PMMM, characterized by complexity, user friendliness and financial flexibility. In addition, it is a model that can be used not only in companies of various branches, but also in organizations of other institutional sectors.


Author(s):  
Laíce De Souza Scotelano ◽  
Roberta Dalvo Pereira da Conceição ◽  
Ueliton Da Costa Leonídio ◽  
Carlos Silva de Jesus

This study discusses the theoretical concepts related to project management, specifically on the measurement of its implementation, through the concepts of maturity models. Moreover, in order to confirm the theoretical concepts related, it will be presented the results of a survey data conducted in an automotive industry in Brazil (Rio de Janeiro state), through the research of maturity proposed by Darci Prado. This survey will demonstrate the perception of employees at the different areas on the project maturity in this organization. In addition, the result found revealed that the organization analyzed is at the levels observed and calculated, considering the average level of maturity of the region and country. It is concluded that the Brazilian methodology adopted was effective in terms of measuring the level of maturity in a Brazilian organization. It is estimated that this work can contribute to those organizations concerned in the application of project management and that these practices become entrenched and fully disseminated and becoming part of their culture.


2021 ◽  
Vol 14 (12) ◽  
pp. 571
Author(s):  
Filipe Machado ◽  
Nelson Duarte ◽  
António Amaral ◽  
Teresa Barros

This paper aims to identify and analyze project management maturity models in order to identify those best suited to be adopted in construction firms. To do so, models from papers available in academic repositories were analyzed. To be successful, the construction business deeply depends on projects outcomes; thus, the implementation of project management maturity models is important for this sector. A maturity model is a valuable technique to assess project management capabilities within a single part of an organization or to assess an organization as a whole. Its main purpose is to provide a means to create a more organized and predictable way for organizations to achieve their goals, increasing their chances of success regarding the outputs, outcomes, and benefits. In this paper, documentary research was performed to identify available project management maturity models and togather information about their performance. The information gathered was used to find elements to be compared with the identified models. Reviewing the literature, 39 project management maturity models were identified. The authors selected two PMMMs that were well fitted to assess the project management capabilities in construction firms: OPM3 and MMGP Prado.


2014 ◽  
Vol 7 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Naomi Brookes ◽  
Michael Butler ◽  
Prasanta Dey ◽  
Robin Clark

Purpose – 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. Design/methodology/approach – The investigation used a cross-case analysis involving over 90 individuals in seven organisations. Findings – 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. Research limitations/implications – 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. Practical implications – The tendency for PMMMs to shape improvements based on their own inherent structure needs further understanding. Originality/value – 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.


2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Karuna Devi Mishra ◽  
Dr. Sudarsanam

This paper investigates the current challenges faced by the project managers in creating realistic expectations of customers in dynamic changing project environment which are created by rapid introduction of new unknowns, as they progress. One might say they are more akin to packing boxes of frogs without a cover, setting each thing right before a new challenge is faced. The difficulties posed by these projects are identified and the literature is reviewed for suitable approaches. Why do projects fail and what more is critical to the success of project? All projects are conceived with a vision to satisfy certain needs of the business. Hence, the beneficiary of these needs become key stakeholder. Appropriate participation of this key stakeholder in steering the project ensures the success of the project. Also businesses are impacted by competition and changing market place resulting in skewed expectation management. Managing expectations enhances the success of the project immensely. Now, goal of the project plays a pivotal role and hence respecting it, is an important task, in project management. Project governance is an important aspect which needs to change according to the requirements and requires a dynamic approach rather than a ‘rule book approach’.


2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matti Haverila ◽  
Jenny Carita Twyford

PurposeDrawing upon the relational exchange theory, the longitudinal relationship between various stages of project management customer satisfaction, value for money and repurchase intent are examined.Design/methodology/approachUsing a survey questionnaire, data were gathered over four consecutive quarters (N = 2,537). The statistical methods included exploratory factor analysis, confirmatory composite analysis (CCA) and partial least squares structural equation modeling (PLS-SEM).FindingsProject management was perceived as a three-dimensional construct (proposal, installation, commissioning/start-up). There was a significant longitudinal relationship between project stages and satisfaction in the complete data set. The results varied on the quarterly basis. The relationship customer satisfaction/repurchase intent was significant in the whole data set and during all quarters. This was the case for the relationships between value for money and customer satisfaction and between value for money and repurchase intent. The effect sizes were small between project management stages and customer satisfaction, small to medium for the value for money construct and large for the customer satisfaction construct.Originality/valueAn important implication is the significant relationship between the stages of project management and satisfaction. However, the effect sizes were small, however. The importance of the effect size in comparison to the significance of the relationships is highlighted especially when the sample size is large. The paper also confirms the linear relationship between satisfaction and repurchase intent. The nature of the relationship between customer satisfaction and loyalty is based on a moderate exchange relationship in the relational exchange continuum. The study contributes to the relational exchange theory in the context of project management.


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