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Student research

APM is keen to support all students at all levels regarding their research into the management of projects. Our research department encourages students to submit their surveys and would like to see the project management community becoming involved by completing the surveys, if applicable, and answering questions which will assist students in their studies.

Your input will help to develop the knowledge base of project management and drive the profession forward.

List of current research by students:

The following is a list of current and recent requests from students for assistance and contributions to aid their research activities. Please note that some of these are date sensitive.

MSc dissertation - A comparison of the management approach to Risk (complexity, uncertainty and dynamism) in cognitive systems (AI) and traditional Information Technology projects

Synopsis

I am looking to see if the onset of Cognitive Systems (AI) projects has triggered the need for innovative changes to the areas of Risk Management with a particular focus on Uncertainty, Complexity and dynamism within projects to see whether the tools and techniques used in traditional IT projects are still valid for Cognitive Systems (AI) which entail machine learning.

Research Objectives:
a) To identify project management approaches that may benefit from improvement/adaptation for cognitive systems projects to improve success in terms of time, budget, scope, with some questions around verification and acceptance.
b) To identify if current project management methods (e.g. Waterfall or Agile) reveal any variances between traditional IT and Artificial Intelligence systems development projects.
c) To investigate if uncertainty is greater in AI projects than in traditional IT projects.
d) To investigate the source of uncertainty in AI projects.
e) To investigate the activities undertaken in the project initiation phase that can help secure greater success in AI projects over and above reductions in complexity and uncertainty.
f) To recommend improvement to the methods used to manage and uncertainty in AI projects, based on your research.

I am looking to identify improvements or areas for further research that will help projects manage uncertainty in the evolving field of AI development.

Requirement

Project/Programme Managers or Risk Managers of IT projects (AI and Traditional IT) with experience in uncertainty and complexity management.

Take the Survey by following the link below.
https://www.surveymonkey.co.uk/r/WJV2Q92

Target audience

Project/ Programme Managers and Risk Managers working on IT projects

Closing date

2nd January 2018

Identify the key strategic planning characteristics that impact project maturity.

Background:

The research aim is discovering the relatively important characteristics that influence the maturity level of project management and the project success.

Requirements:

Anyone works in an organization for at least three months as well as works in a project as the project team leader or member is the target participants.

Closing date:

31 August 2017

Take the survey

MSc dissertation into the potential applications of Blockchain and Internet-of-Things technology to Project Management.

Background:

The research is investigating potential applications for two new technologies; Blockchain and Internet-of-Things to the Project Management profession. The aim is to create a framework which can be used to help project managers implement and make use of these technologies to resolve issues they have.

Requirements:

Anyone who works in project management, no need for any understanding regarding the technology as my questions focus on trust, contractor management, process monitoring and systems-implementation.

Closing date:

31 August 2017

Take the survey

Research Study on Decision Support Projects and Organisational Performance

Synopsis

The aim of this survey is to understand the success criteria for decision support projects and what influences the performance of those projects. Specifically, we are interested in projects that develop/implement computer systems such as decision support systems, business intelligence, analytics, or big data systems that provide for the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, visualisation, and fact-based management to drive decisions and actions

Requirement

For that, we need project managers, agile coaches, project team members, and sponsors that participated in a decision support project such as business intelligence, analytics, or big data since 2002 to take our survey.

Take the survey

The study is in-depth and detailed to gain real insights so it has taken people between 15 and 30 minutes to complete. You can stop at any question and resume the survey at a later time by clicking on the link in this email.

Each participant is entitled to a free download of an ePub or Kindle version of the book “Going Agile Project Management Practice Second Edition” (worth 32 USD on Amazon). Thus, there is an immediate benefit for your participation.

Target audience

Program Managers, Project Managers, Agile Coaches, Project Team Members, Project Sponsors

Closing date

27-Oct-2017

Project Management Empowerment

Synopsis

I am conducting a research study on the viability of a project management empowerment model to help senior management delegate project decision-making authority to project managers. I am completing this research as part of my doctoral degree and I respectfully request your participation and that of your members to further the practice of project management. The expected duration of the survey is about 15 minutes. I have provided the survey link and how to contact me in case of any questions below.

Requirement

Take the survey

Target audience

Project and Program Managers

Closing date

16/12/2017

How do project based organisations manage project selection? How can this be improved to enhance results?

Synopsis

To identify best practices for project selection, which account for influential factors decision makers must consider when selecting which project to undertake.

Objectives
1. To identify which practices decision makers in the construction industry are using to select projects.
2. To identify how organisations, prioritise the decision-making criteria.
3. To assess if decisions in organisations are made through analysis of data or intuition.
4. To assess if the existing methods for project selection can be universally applied to a range of organisations.
5. Provide a recommendation to organisations to improve project selection based on effective decision criteria.

The survey aims to gather data to establish the methods currently used within the construction and development industries for projects and contrast the finding with methods and models proposed by leading authors. The outcome of the research will be a set of recommendations to organisations to utilise when selecting projects to achieve more successful results.

Requirement

Professionals working in the construction and development sectors who are involved/have an awareness of the project selection process and models used in their organisation.

Take the survey

Target audience

Company Directors, Board Members, Program Managers, Project Managers, Programme/Project Steering Team Members, Selection Committee Members

Closing date

10th November 2017

The impact of demographics on financial risk tolerance

Synopsis

You are invited to participate in this questionnaire aiming to explore the impact of demographics on financial risk tolerance for my dissertation at Bournemouth University. It should take approximately 10 minutes to complete this survey. You can withdraw at any time before submitting this survey. Your responses are voluntary and will be kept anonymous. Your honest and complete responses will be appreciated.

Requirement

Please upload the survey below or if anyone has any questions or feedback they can contact me on the email address below.
https://bournemouthbusiness.az1.qualtrics.com/jfe/form/SV_bOdwmMqomTt6ogB

ymorakabati@bournemouth.ac.uk

Target audience

Project practitioners or anyone with an interest in risk management

Closing date

April 2018

Promote your research

APM members can promote their existing research to encourage participants by uploading a short summary, research link, end of survey closing date and membership number, to the form below.

To share research outputs which may benefit the wider community please get in touch with the research manager, Daniel Nicholls: daniel.nicholls@apm.org.uk.

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