1)define issue: resources = networks and data services, are being used for multiple purposes. Who owns and supplies? Who uses and consumes? What regulation (across regions)?
2) economics: investment and other operations cost for network suppliers, prices and utility for the demand side. How do they relate (supply/demand), what criteria and priority for each side?
3) Regulation scenario and economic impact. Review key possibilities : no regulation, hyper-regulation of suppliers, cases in-between. Review of different regions.
4) Innovation and evolution: securing virtual resource and quality of experience on third party network (Ex Skype on operator network vs this operator's voice services).
Review OTT (over the top services, services carried by a third party carrier different from OTT service supplier). Special case of Connected Television Services, and Content delivery on operator infrastructure by content service providers.
Note that OTT requires resource investment (servers, data center, content delivery network) for supplier (google, Microsoft with Skype, etc).
5) Revenue models: separation (user pay for network to operator, user pay OTT service to OTT provider, "free service" funded by advertising or other means) or revenue sharing. Develop economics of each model
From the executive plan of work above, do your desk research first. To enrich information with opinions, views, you should consult regulators in charge of networks and services. They are the orchestrators of the economic system for net neutrality.
A research usually starts with a research question, i.e. a question to be answered via research. Identifying the research question(s) would enable clarifying research objective(s) and the required data to be collected, which can be recognized as variable, and sources of data. At that point, research methods/data collecting methods could be identified to fit the research design.
Depending on how specific your research question is, there may be a number of different methods that could address it. In thinking about whether to questionnaire, you also have to consider where you will get your sample. In particular, most statistical analyses require considerably more than 100 respondents in order to do effective statistical analysis. So, the realities of access to data can have a considerable impact on the methods you select.
If you do want to use a questionnaire, the main things that specific questions do is to "operationalize" your independent and dependent variables. This takes you back to the advice that Renaud gave you: start by defining the research question(s) and the variables that go into them.