**5. Results**

Ongoing innovation \*\*

In order to comprise the results, we have used the coefplot [50] procedure of STATA for graphical interpretation. The first six charts show the coefficients of individual information source contingencies (Figures 1–6), while the other six analyze the quantity of information sources applied in innovation activities (Figures 7–12). In all Figures, the horizontal axis shows the value of the estimated parameters, while "*p*" denotes the significance level.

We summarize the probit and OLS coefficients and significances in the Appendix A–Table A1.

We have explored the role of 10 different information sources in innovation with regard to the Hungarian food and beverage processing companies. Using the CIS 2012 data [24], we have learned that search strategies applied by food companies are greatly different depending on the type of innovation in question. The results can be discussed at two connecting, but distinct layers. First, we evolve the strategy orientation, which relies on whether the chance of being selected is significant in case of the particular information source. Then, we have estimated the number of information sources used by companies in three appropriate groups of sources: business, science and profession, which refers to the quantity of information.

According to these two layers, we can postulate the findings below:

**Figure 1.** Product information source contingencies.

**Figure 2.** Process information source contingencies.

**Figure 3.** Organ. information source contingencies.

**Figure 5.** Openness information source contingencies.

**Figure 6.** Ongoing information source contingencies.

**Figure 7.** Product innovation.

**Figure 8.** Process innovation.

**Figure 9.** Organizational innovation.

**Figure 11.** Openness-information quantity.

**Figure 12.** Ongoing–information quantity.
