It is a very interesting subject, and could be a very good paper if it's done well.
If I were to look for existing studies on the subject or related subjects, I would start with (wait for it...) Google.
But perception is a qualitative measure. You can get numerical values of 1 to 10, but they should be augmented with comments that you can count similarities with and report on, including possible solutions, insights or words of wisdom.
I would survey people using something like Survey Monkey in example companies after gaining permission from their management, so as to get a good cross representation of the population and reflect comparative data in homogenous samples (the company). I would make the survey differentiate between three subgroups: top management, middle management and the workforce - be sure to include opportunities for people to expand on their answers. These data sets can be compared against each other.
Questions should be specific enough to reflect operational aspects. The Baldrige survey "
Are We Making Progress?" includes a lot of good starting places for questions that reflect the same types of QMS factors as ISO 900X. You may or may not want to use the actual questions, but I offer the example because the questions are, in my view well written and insightful.
I would not forget to ask the middle management how much they spent on the registration effort. If you want to know if they think it was worth it, get them in focus groups and ask in specific terms:
To what extent did our preparations help us avoid:
- Disruptions in workflow due to material problems
- Disruptions in workflow due to machine downtime
- Rework
- Scrap
- Contradictions in various specifications (prints to SOPs)
- Employee turnover
- Safety incidents and accidents
Be prepared to note a variety of answers and study them in tandem with what the other groups said. Are there disconnects, as in top management thinks it's just peachy while the work force thinks it was awful? Such things should be mentioned in the report, but you can't really stray into causes unless you do a seriously in-depth study using Industrial Psychology principles.
I hope this helps!