Calculating Project Management's Return on Investment

2000 ◽  
Vol 31 (2) ◽  
pp. 38-47 ◽  
Author(s):  
Young H. Kwak ◽  
C. William Ibbs
Keyword(s):  
Project Management ◽  
Return On Investment ◽  
Government Agencies ◽  
Maturity Model ◽  
Process Maturity

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.

Assessing Project Management Maturity

2000 ◽  
Vol 31 (1) ◽  
pp. 32-43 ◽  
Author(s):  
C. William Ibbs ◽  
Young Hoon Kwak
Keyword(s):  
Project Management ◽  
Management Practices ◽  
Government Agencies ◽  
Maturity Model ◽  
Assessment Methodology ◽  
Multiple Choice Questions ◽  
Analysis Methodology ◽  
Management Processes ◽  
Project Phases ◽  
Measure Project

The principal goal of this study was to determine the financial and organizational impacts of project management. This study began with the development of a project management maturity model and an analysis methodology to assess the maturity of project management processes. The project management maturity analysis methodology consists of 148 multiple-choice questions that measure project management maturity, and cover 8 knowledge areas and 6 project phases. The maturity model and methodology were then applied by benchmarking 38 different companies and government agencies in 4 different industries. This assessment methodology provides solid and comparative studies on project management practices across industries and companies within an industry. It also provides a set of tools for organizations to use in identifying key areas of opportunity for improvement in project management.

Project Management Maturity Models

2018 ◽  
Vol 8 (2) ◽  
pp. 19-38 ◽  
Author(s):  
Brian J. Galli
Keyword(s):  
Project Management ◽  
Customer Satisfaction ◽  
Return On Investment ◽  
Investment Project ◽  
Maturity Model ◽  
Business Organizations ◽  
Time Level ◽  
Maturity Models ◽  
Management Models ◽  
The Common

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.

Project, programme and portfolio maturity: a case study of Australian Federal Government

2014 ◽  
Vol 7 (2) ◽  
pp. 215-230 ◽  
Author(s):  
Michael Young ◽  
Raymond Young ◽  
Julio Romero Zapata
Keyword(s):  
Federal Government ◽  
Management Practices ◽  
Stakeholder Management ◽  
High Sensitivity ◽  
Development Planning ◽  
Government Agencies ◽  
Maturity Model ◽  
Australian Government ◽  
Content Type ◽  
Management Processes

Purpose – 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. Design/methodology/approach – 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. Findings – 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. Research limitations/implications – 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. Practical implications – 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. Originality/value – 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.

scholarly journals Investigating Process Maturity Modeling as an Advertising Process Improvement Paradigm

2019 ◽  
Vol 32 (2) ◽  
pp. 1-26
Author(s):  
Daniel Adrian Doss ◽  
Russ Henley ◽  
Qiuqi Hong ◽  
Trey Pickett
Keyword(s):  
Process Improvement ◽  
Ad Hoc ◽  
Service Marketing ◽  
Maturity Model ◽  
Maturity Level ◽  
Process Maturity ◽  
Capability Maturity ◽  
Product Marketing ◽  
Marketing Firms ◽  
First Maturity

Summary This article examined a variant of the Capability Maturity Model integrated (CMMi) through the lens of advertising process improvement. The population and sample were taken from a national array of U.S. marketing organizations. Using ANOVA, a 0.05 significance level, and a stratification of service marketing organizations versus product marketing organizations, the study showed a statistically significant difference (F(1, 304) = 4.03; p = 0.04; ω2 = 0.00) regarding the hypothesis representing the notion that processes were potentially sporadic, chaotic, and ad hoc. This notion corresponded to the first maturity level of the examined process maturity framework. With respect to the Likert-scale data representing the first maturity level, the successive means analysis showed that both service marketing firms (M = 2.99) and product marketing firms (M = 2.74) reported neutrality regarding whether processes were deemed sporadic, chaotic, and ad hoc. Thus, the respondents perceived no evidence of the first maturity level among the queried work settings. Future studies may examine different stratifications of marketing firms (e.g., for-profit versus non-profit; domestic versus international; and so on) to better explore the proposed advertising maturity model.

A measurement model of project control systems success for engineering and construction projects case study: contractor companies in Saudi's petroleum and chemical industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sahar Jawad ◽  
Ann Ledwith
Keyword(s):  
Project Management ◽  
Control Systems ◽  
Chemical Industry ◽  
Measurement Model ◽  
Measurement Tool ◽  
Maturity Model ◽  
Project Control ◽  
Content Type ◽  
Critical Elements

PurposeThe purpose of this paper is to presents a new modeling approach that provides a measurement tool for evaluating the effectiveness of Project Control Systems (PCS) and the improvement of the project control capability as a part of an organization's project management processes.Design/methodology/approachThis study used a project management maturity approach to develop a measurement model of PCS success. The key elements in this model have been identified using the Fuzzy Analytic Hierarchy Process (FAHP) method to analyze data from a case study involving contractor companies in Saudi's petroleum and chemical industry.FindingsThe results identified six critical elements for PCS success: (1) Change Management, (2) Earned Value, (3) Baselined Plan, (4) Resource Loaded, (5) Progress Method and (6) Governance Program. In addition, Project Forecasting and Corrective Action Verification were identified as the main areas where clients and contractors need to focus for the effective deployment of a PCS.Practical implicationsThe results of this study were used to create a PCS Maturity Model (PCSMM) and a PCS Success Index (PCSSI). The value of this index can help project managers to identify the maturity level of their PCS and improvement areas that lead to enhanced project performance.Originality/valueThis research presents an alternative maturity model for PCS assessment that provides a practical tool to identify areas for improving the critical elements of PCS success. The study draws a clear distinction between overall project success and the success of the PCS.

scholarly journals CSR Maturity in Polish Listed Companies: A Qualitative Diagnosis Based on a Progression Model

2019 ◽  
Vol 11 (6) ◽  
pp. 1736 ◽  
Author(s):  
Anna Witek-Crabb
Keyword(s):  
Free Market ◽  
Qualitative Content Analysis ◽  
Listed Companies ◽  
Maturity Model ◽  
Process Maturity ◽  
Progression Model ◽  
Strategic Csr ◽  
Corporate Social ◽  
Intensive Development ◽  
Intensive Growth

Transformation from a centrally planned economy to a market economy in 1989 created new challenges for the enterprises in Poland. Free market brought economic liberty, but also the need to take responsibility for the business’ impact on the environment. The last 20 years have brought intensive development of Corporate Social Responsibility (CSR) in Polish conditions: The institutional context supporting CSR has improved and so did the implementation of the CSR by the business. Intensive growth of CSR practices demands a reflection on the effectiveness of the implementation. This study’s contribution is a comprehensive diagnosis of CSR maturity of the enterprises in Poland using a conceptual CSR maturity model. The model is comprised of three perspectives: CSR process maturity, CSR formal maturity and CSR developmental maturity. CSR practices of 93 listed companies from nine industries were studied in 2016–2017. A qualitative content analysis of the enterprises websites was used as the method of study. The main finding was that the level of CSR practices of the enterprises in Poland is still rather low. Forty-seven percent of the enterprises implement incidental CSR, 30% tactical CSR and 23% apply strategic CSR. CSR maturity level is company size- and industry-dependent.

Organizational Cognition in the Industrial Case Study

2010 ◽  
pp. 122-132
Author(s):  
Farley Simon Nobre ◽  
Andrew M. Tobias ◽  
David S. Walker
Keyword(s):  
Process Improvement ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Process Maturity ◽  
Industrial Case Study ◽  
Organizational Cognition ◽  
Capability Maturity ◽  
Organization Process ◽  
And Performance

This chapter is concerned with the implementation of The Capability Maturity Model in the organization of study. In this application, we define measures of organization process improvement and we propose correlations between them and organizational cognition. Among these measures are included organization process maturity, capability, and performance. Therefore, we define correlations between organizational cognition and organization process maturity, and also between organizational cognition and organization process capability and performance. From such correlations, we also define an association between organizational cognition and organizational learning. Hence, we outline new directions to the development of approaches to assess, to evaluate and to measure the degree of organizational cognition from appraisal methods of The Capability Maturity Model and of other organization process improvement models. Moreover, Chapter IX is complemented by Appendix I which summarizes concepts and characteristics about the five maturity levels of The Capability Maturity Model.

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