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Leveraging Evidence-Based Management and Achieving Organizational Change through Larman’s Laws

Scrum.org

As businesses evolve, there's an underlying pressure to adapt, innovate, and revamp. Often, these changes are heralded as signs of progress – restructuring teams, introducing groundbreaking technology, or rolling out new policies. You've introduced new tech. You've rolled out policies that seemed innovative on paper.

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The Perfect Storm for The Project Economy

Leading Answers

These three trends are: 1) Accelerating rates of technology adoption. Eric Ries documented his lean startup methodology in 2008 as a way for organizations to adapt and experiment with new ideas and perform market tests. Access to power and less expensive technology also brings connectivity. It could already be happening.

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Main Risks of Aerospace Engineering Projects: How to Implement Wise Risk Management into Your Organization

Epicflow Blog

First, there can be a lack of enough digital workforce to staff projects, which is a typical challenge for initiatives that require implementation of digital technologies. . Second, people may require more time to get used to working with innovation technologies and equipment, which may lead to project delays. . Conclusion.

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In-Depth: The Evidence-Based Business Case For Agile

Scrum.org

So we went to Google Scholar and searched for review articles. 2010) reviewed 28 scientific studies that investigated how Scrum is associated with overall business outcomes. A strength of such a review is that it allows for the identification of patterns across many studies. 2014 ; Young & Jordan, 2008 ; Russo, 2021 ).

Agile 211
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Key Components of the DevOps Pipeline?

Agilemania

Concerns were voiced in the IT operations and software development sectors from 2007 to 2008 about the old software development paradigm that split operations from developers regarding how code was distributed and supported. The DevOps technique supports continuous innovation, agility, and scalability.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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A Compendium of Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.