**18. Reliability analysis of the questionnaire**

Reliability is an evaluating measure that tests a measuring instrument's accuracy and consistency. It is how techniques, approaches and methodologies for collecting data provide reliable findings [43]. A reliability test was conducted on each of the four strategies, using Cronbach's coefficient alpha, as illustrated in **Table 2**.

The analysis indicated a high level of reliability with a Cronbach's Alpha of .899, items scoring 89.9%. **Table 2** above reflects the resultant Cronbach's Alpha for the questionnaire used in this study. Bryman and Bell [44] stated that it is essential to appreciate the basic features of what a reliability test means. Whereas Cronbach's alpha determines internal reliability, it essentially calculates the average of all possible split-half reliability coefficients. A computed alpha coefficient will vary between 1 and 0 (denoting perfect internal reliability). As a rule of thumb, Figure 0.80 is typically employed in denoting an acceptable level of internal reliability, though many writers accept a slightly lower figure. For example, in the case of the "Burnout Scale" replicated by several researchers, alpha was 0.7, which they suggested was efficient.


**Table 2.** *Cronbach's coefficient alpha.*

*Open Innovation Strategies on New Product and Process Development Prospects: A Case… DOI: http://dx.doi.org/10.5772/intechopen.105035*
