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What if our school considers P1C1 and P1C6 too sensitive to answer in the UNICON Membership Benchmarking Survey?

Member question: My colleague was filling out the benchmark survey and stumbled on Section C: P1C1 & P1C6. Our school considers the revenue and salary numbers highly sensitive and refuses to divulge them. It seems they were not asked in prior years' survey, were they? And I know the other Chinese schools probably feel the same, and they probably would skip the whole survey simply because the inclusion of those 2 questions. In addition, one cannot proceed without answering the questions. 

P1C1 How much did your gross annual revenue in 2021-2022 contribute to your business school’s overall operating budget? This is represented by the ratio of Total Executive Education Revenue / Total Business School Revenue. [NEW QUESTION 2021]

% Business School Contribution   [% FIELD: RANGE 0-100]

P1C6 How much of your estimated gross annual revenue was allocated to faculty and staff compensation? Please enter whole numbers and do not insert a % symbol. [NEW QUESTION 2022]

% Faculty Compensation                                       [% FIELD: RANGE 0-100]
% Staff Compensation                                            [% FIELD: RANGE 0-100]

P1C1 is not a new question and only asks for a % Business School Contribution (not the actual amount). It was introduced last year (2021). We confirmed that 6 other schools in China did answer this question last year (other Asian schools as well).

P1C6 is a new question in 2022 and similar to P1C1, asks for a %, not actual salary numbers:

    Both questions are mandatory to submit the benchmarking survey and cannot be skipped. We purposely ask these questions as relative measures (percentage) to lessen institutional sensitivity while providing valuable industry benchmark data to schools that participate in the survey.

    Percept Research keeps all of the data submitted confidential as a third party for several management education associations. We have posted our UNICON Statement of Confidentiality here and our privacy policy here.

    We hope you will consider providing data for these questions given these confidentiality protections and value as industry benchmarks. 😊