A Preliminary Assessment of the Relationships Between Project Success, System Engineering, and Team Organization

Componation, Paul J.; Youngblood, Alisha D.; Utley, Dawn R.; Farrington, Phillip A.

doi:10.1080/10429247.2008.11431787

Cited by 17 publications

(23 citation statements)

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“…Virtual teams face greater challenges in this matter, because they primarily rely on IT to communicate (Powell et al , ). The effective building and use of teams is considered vital to the project's success, and the main responsibility of the project manager is to encourage teamwork (Componation et al , ). Qureshi et al .…”

Section: Knowledge Sharing and Project Activitiesmentioning

confidence: 99%

“…Virtual teams face greater challenges in this matter, because they primarily rely on IT to communicate (Powell et al, 2004). The effective building and use of teams is considered vital to the project's success, and the main responsibility of the project manager is to encourage teamwork (Componation et al, 2008). Qureshi et al (2006) stated the importance of providing communication channels to promote interactions other than those focused on tasks to achieve members' trust, sustained communication, and involvement.…”

Section: Introductionmentioning

confidence: 99%

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Knowledge Sharing Barriers in Complex Research and Development Projects: an Exploratory Study on the Perceptions of Project Managers

Santos

Soares

Carvalho

2012

Knowl Process Manag

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Numerous projects are considered complex because of the number of stakeholders, the diversity of skills, and the uncertainty involved, requiring accurate information retrieval and management of the social interactions between different participants leading to efficient knowledge sharing. This paper reports the findings of an empirical study on knowledge sharing barriers and research and development (R&D) activities that occur in the context of complex project management. The study presents issues, difficulties, and practices acknowledged by project managers related to knowledge sharing and R&D (focused on activities that involve cooperation and collaboration). Particularly, we point out the following major knowledge sharing barriers: codification process, inadequate information technology, lack of initiative and strategy by the workers, and lack of time and resources. We also explained the following practices and issues regarding the collaborative R&D activities: information exchange and retrieval, communication barriers, interdependence of knowledge and skills, and different technical terminologies. We intend to contribute to the understanding of the work carried out in the context of complex projects to improve the management practices and the information technology platforms to support them.

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Section: Knowledge Sharing and Project Activitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Knowledge Sharing Barriers in Complex Research and Development Projects: an Exploratory Study on the Perceptions of Project Managers

Santos

Soares

Carvalho

2012

Knowl Process Manag

View full text Add to dashboard Cite

show abstract

“…(Price 2016). Interestingly, verification has been correlated with increased likelihood or project success, but validation is not mentioned nearly as frequently (Elm 2013;Componation et al 2008). It may be that the meaning of verification as interrogation of an as-designed or as-built system to specifications or requirements is clearer.…”

Section: Validation In Systems Engineeringmentioning

confidence: 99%

Warranting System Validity Through a Holistic Validation Framework: A Research Agenda

Stevens¹

2017

INCOSE International Symp

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The integrity of validation of launch systems produced in the United States is challenged by changes in launch vehicle acquisition policy. National Aeronautics and Space Administration (NASA) adopted the Commercial Orbital Transportation Services (COTS) acquisition model in 2006. Affordability‐driven flexibility enabled by significant regulation reduction engenders the same loss of insight and control the USAF found unacceptable in the 1990's. COTS‐type acquisition accepts such risk, but amplifies concerns that validation criteria are not well justified. This paper describes sources of confusion over the selection and justification of validation criteria in systems engineering. A notional holistic validation framework orients research efforts towards engineering rational and defensible strategies. A specific research agenda to examine the role of validation in dialectic is stated. Argumentation in anticipation of system performance suggests that modeling relations from Rosen's anticipatory systems theory apply to the elements in Toulmin's model of argument. Theory produced will enable rational justification of validation criteria in launch system acquisition.

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“…However, they often lack clear guidance on techniques and practices designed to effectively tailor SE teams [8].…”

Section: Introductionmentioning

confidence: 99%

Effects of geographic and demographic dispersion on the performance of systems engineering teams

Segura

Sarkani

Mazzuchi

2013

Information Knowledge Systems Management

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Globalization and the increasing complexity of systems require collaboration across multidisciplinary teams. Systems Engineering (SE) teams are often geographically and demographically dispersed; such dispersion might affect the ability of the teams to produce their desired outcomes. The main objective of this research study was to determine how geographic and demographic dispersion affect the performance of a SE team, and which phases of the SE life cycle are more susceptible to positive or negative effects caused by team dispersion. This research study started with an exhaustive review of the literature related to team dispersion and team performance. The next step was building a conceptual model grounded in theory, which allowed the measurement of geographic and demographic dispersion through the use of well-established indices recognized by the scientific community. The data collection process successfully gathered information about projects geographically distributed throughout 57 cities in 38 countries. Finally, multiple linear regression (MLR) and structural equation modeling (SEM) were selected as data analysis techniques for this study. The results of MLR show that geographic and demographic dispersion factors (independent variables) statistically significantly predicted team performance along each phase (dependent variables) of the SE life cycle. The results of SEM show a moderate positive relationship between dispersion and team performance. It was also found that the SE life cycle phases of Development and Production are the higher predictors of team performance.

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A Preliminary Assessment of the Relationships Between Project Success, System Engineering, and Team Organization

Cited by 17 publications

References 0 publications

Knowledge Sharing Barriers in Complex Research and Development Projects: an Exploratory Study on the Perceptions of Project Managers

Knowledge Sharing Barriers in Complex Research and Development Projects: an Exploratory Study on the Perceptions of Project Managers

Warranting System Validity Through a Holistic Validation Framework: A Research Agenda

Effects of geographic and demographic dispersion on the performance of systems engineering teams

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