scholarly journals Editorial

2016 ◽  
Vol 3 ◽  
pp. 5198
Author(s):  
Beverly Pasian

Conversations about projects and project management are changing. Project Management researchers and practitioners are no longer only focused on the processes and practices, but increasingly looking for ‘some truths’ of project management (Morris, 2016) – truth that can be as likely found when considering values as much as knowledge. And what is considered to be so valuable that a new journal is needed to reveal those truths? Quite simply…a better world where humanity’s problems are alleviated through shared and publicly available innovative projects, and socially responsible project management research and practice. And what is PMRP’s role in this quest? To provide a forum where informed dialogue can occur with project management researchers, practitioners and other stakeholders. 

2017 ◽  
Vol 4 ◽  
pp. 5435
Author(s):  
Helgi Thor Ingason

The International Project Management Association (IPMA) was established by academics, research has always been acknowledged by IPMA and the association has supported research in different ways. We see it as our duty to share knowledge in project management, cooperate and facilitate cooperation between project management researchers and motivate project management researchers…and, by investigating specific areas, and thereby influencing the discipline. To achieve this we collaborate with other organisations that share our interest and I am glad to declare that IPMA will be collaborating with the journal Project Management Research and Practice.


2021 ◽  
pp. 875697282199994
Author(s):  
Joseph F. Hair ◽  
Marko Sarstedt

Most project management research focuses almost exclusively on explanatory analyses. Evaluation of the explanatory power of statistical models is generally based on F-type statistics and the R 2 metric, followed by an assessment of the model parameters (e.g., beta coefficients) in terms of their significance, size, and direction. However, these measures are not indicative of a model’s predictive power, which is central for deriving managerial recommendations. We recommend that project management researchers routinely use additional metrics, such as the mean absolute error or the root mean square error, to accurately quantify their statistical models’ predictive power.


2006 ◽  
Vol 25 (2) ◽  
pp. 115-125
Author(s):  
David R. King

Outsourcing inherently considers what activity needs to reside within a given firm. The difficulty of exchanges between firms in the face of uncertainty affects where work on developing and producing new products is performed. Theory is developed and explored using a case study that explains firm sourcing decisions as a response to uncertainty within the context of industry structure and related transaction costs. Viewing outsourcing broadly results in a better delineation of outsourcing options. Implications for management research and practice are identified.


Author(s):  
Rodney Turner ◽  
Jeffrey Pinto ◽  
Christophe Bredillet

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