Use the 5 key determinants of Diffusion of Innovation to apply to a survey to assess the interest level of your target market for your innovation. Using the 5 key determinants of the Diffusion of Innovation (Roger’s, E. 2003), frame the challenges into scales using the attached survey methodology for constructing your innovation questionnaire. Next, reach out to potential/current customers in your target market and ask them to complete the survey. Compile your results. Please use the attached document as your guide.
ENTR427 – Technological Innovations
Week 1 Assignment: Survey Methodology
Innovation Diffusion Theory uses scales designed to measure the predictive strength of
antecedents of innovation adoption. The following 3-step process should be used for the
construction of a self-administered questionnaire, or a researcher administered survey.
Step 1. Specify the innovation and define the constructs:
The focus is on the perception of using the innovation, rather than on the innovation itself since
the actual product(s) doesn’t exist. The following antecedents form the basis for the following
1. Relative Advantage: the degree to which the innovation is perceived as being better
than its precursor
2. Compatibility: the degree to which the innovation is perceived as being consistent with
the existing values, needs, and past experiences of potential adopters
3. Complexity: the degree to which the innovation is perceived as being difficult to use
4. Trialability: the degree to which the innovation may be experimented with before
5. Observability: the degree to which the results of the innovation are observable to others.
(Rogers, E. 2005)
Step 2. Generate a sample of items:
Using Roger’s antecedent definitions above, develop a series of questions, 2 per construct 10 in
total, to assess a respondent’s attitude towards the adoption of the proposed innovation. (Rogers,
Item format: 7-Point Likert scale
Level of measurement: ordinal, interval, categorical
Step 3. Collect data with survey instrument and analyze data using Excel.
Use descriptive statistics; e.g. mean, media, mode, to analyze the distribution of the data.