You might be interested in having a look to this publications dedicated to Circular Economy. You will see that it implies an almost inevitable modification of production and consumption through a better management of resources:
Article Development of a circular economy and evolution of working c...
Article The circular economy, an element of a policy of ecological r...
Presentation Workers in a circular economy in 2040, a foresight study (Wien)
Preprint A circular economy in 2040. What impact on occupational safe...
A lot of energy has been devoted to lean and efficient supply chain strategies, but, as you can see in covid time, they lack robustness under disturbances, so, maybe, this could be an PhD subject. Systems and control theory has a lot to say about the design of robust regulators, and the role of feedback structures. Maybe it is time again , to take the insights of this branch of mathematics seriously!
You will spend an enormous amount of time with whatever project you finally select. So, please take the time to understand a project you can passionate about. Define the central problems within the subject area and who will actually care about your study's results. Then identify a set of research questions and refine, refine, and refine the questions until you come up with a set that is: 1) Researchable; 2) Worthy of your effort; and 3) Meaningful to your audience.
As suggested by the previous respondents, you can look at various meta-analytic studies with an eye towards identifying various gaps in the literature. Or, if supply chains in the COVID era are an interesting topic, you can consult the numerous articles that have been published recently to get a sense of the practical problems people are experiencing. Identify a topic you are interested in and look for the gaps in the literature from a theoretical, methodological, or research outcome point of view... On the one hand, you could repeat a research study with an eye towards validating it within a specific context. On the other hand, you could look at expanding a theory where you see a gap. However, regardless of the approach, you must ensure you can actually collect meaningful data. The specific point I want to make here is that you must understand that the process of writing is iterative.
Start by identifying a problem that catches your eye and read a few articles on it. Then, as you learn more about your subject matter, write a draft problem statement and begin to identify who else considers it a problem. Read their research questions. Identify the gaps previous authors have talked about... and so forth and so on. It's not a point solution!! It's an iterative conversation!
IF you are looking for a very interesting (IMHO) and under-researched project, try looking at developing a Multi-agent based simulation of a particular supply chain (that is relatively local to you) and identifying the performance outcomes of different policy decisions...
Even though supply chain resilience is a very well-researched topic, it's integration with the technologies offered by Industry 4.0 may make for an interesting case. Or, you can tailor your topic according to your relevant sustainable development goals and how their implementation can be leveraged through modern approaches.
The subject can concern any topic that motivates you. I particularly believe in research that deals with human decision versus AI decision, in the 4.0 context for instance, or with the Digital Transformation phenomemon, with the symbolic new way of expressing performance according to visual management and "smartphones language".
If management really is a science, then why don’t more leaders accept and apply well-established, holistic, enterprise-wide management theories (like the Toyota Production System)? If you can answer the question about why we don’t treat management like a science, you will contribute greatly to the field.
An important subject....one with signifiant real world consequences..... involves a systematic difference between management systems for the distribution and delivery of COVID vaccine. Different governments are currently adopting very different approaches with respect to delivering vaccines to the point of application. Different governments have assigned different responsibilities to private sector and public sector participants; Different governments have assigned different responsibilities to different levels of federal government hierachies. Importantly as well different non profit international organizations ( like the Gates Foundation, WHO and the World Bank) have likewise adopting different supply chain strategies and involved different strategic partners in those chains. It would be extremely useful first to elaborate and categorize different supply chain strategies, then determine the critical resource requirements, decision making hierarchies, information support needs and other management parameters associated with their implementation and then finally assess the relative merits of each approach.
Regarding the adopted strategy that are related to the delivery of COVID vaccine and that could be generalised to any crisis management context, it would be interesting to distinguish objective criteria from subjective criteria. The subjective criteria are related to culture, habits,vetc.
In developing countries, the disruption caused by covid-19 in supply chains is very pronounced. both in the formal and informal sectors. This can be made an interesting study by comparing developing countries and developed countries
If I may, I think that it would be interesting to have a doctoral research focused on new way of managing in the fourth industrial revolution (Smart Factory, Advanced Engineering, or Industry 4.0).
Nobody has yet fully understood how Management Engineering will effectively participate in this, since apparently everything will be integrated and working automatically.
I wish you luck and excellent academic research on your doctorate.
I totallly agree: The digital transformation process as well as the digitalised system, the place of the current middle management, the cprresponding KPI, the risks of introducing AI, etc.