Project Management

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Topics: Agile, Change Management, Stakeholder Management
Master Thesis on Structured Agile.
I am approaching the end of my masters degree. My passion towards project management has got me in to starting my masters thesis around project management. I am planning to do a study on Structured Agile methodology focusing more on stakeholder engagement and change management. The topic is chosen looking at the future where majority of PM activities will be automated and i assume that it boils down to effective stakeholder management and change management to achieve project success. Looking for some feedback and suggestions on this.
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The actual covid situation is a practical example of all related to work in a virtual (The Matrix) stakeholder environment plus the need to automate project management process. This is not new. I am working on that from 1998 just in the moment where the internet explode because I worked in a top tech USA company that was partner of Microsoft, IBM and Oracle performing research on practical things to be applied in the future (which is today). So, think about the actual situation and you have a lot of material to write about your tesis. As you know you have to complete this with some numbers based on statical analisys but you will find it into the internet.
I do agree with Sergio
Follow the data. I don't mean the statistics Sergio is talking about - you'll need those later. In order to automate PM processes, you need to follow the PM data; you can't just automate it into existence. Somebody has to provide the initial data. Is that included in what you mean by stakeholder management?

Consider automated checkout, for a moment. This is increasing in fast food and grocery stores. It reduces the number of checkers/cashiers you need, as long as people are willing to use them. One of the motivating factors for using them is convenience - I can get out of line faster, and start consuming sooner, if I my needs are simple and I'm not stuck behind someone with a lot of items to check or order. If we draw a parallel to project management and project team members, the project team members don't have the same motivation. They don't have to enter in every detail to start working, and they have little motivation to report when they're done. At least that's how a good number of my projects have gone in the past 18 years.

Once you have the data someplace AI accessible (data lake, data warehouse, PMIS, portfolio management solution, etc...), a robot can manipulate the data into schedules, reports, and automated emails reminding people to update their status. But is that all that a PM does?

Do you accept the premise that as the number of variables increases, so does the complexity and the ability to automate something? What are the assumptions that have to be in place in order to minimize variables on a project? Does certain criteria have to be met before a project can start or progress from one phase to another?

Don't worry about responding with answers to these questions (although I'm willing to discuss this further, if you want). I'm not saying it's impossible to automate PM tasks, just don't try to throw simplicity at a complex scenario. It might sound good in a paper, but it may not survive practical application.

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