Introduction
What is innovation?
A using of new ideas to products, processes and other aspects of a firm activities lead to an increasing in value of the firm, benefits to customers or other enterprise, this situation is called innovation. A key issue to distinguish innovation, bringing a truly novel item that is produced by new techniques and designs into market; this item can be new to the firm, new to relevant market. Moreover, whether relevant market is domestic or global market is based on which it is traded in a competitive market of local or global (The nature and importance of innovation, n.d.).
How to do innovation?
Economically relevant knowledge is the body of scientific evidence and human expertise, also can be useful in the …show more content…
But a more various categories of innovation are divided into five levels with changes happening in market and social conditions, which is R&D product development, new usage of established product or service, changes in markets exploited, operational and logistical innovation and business model innovation (Johnson, 2001). There is a major finding of recent contributions is that the goals, so the different determinants of R&D and cooperation partner. However, for German manufacturing firms, Fritsch and Lukas (2001) found that the innovative effort directed at process improvement is more likely to involve cooperation with suppliers, whereas the product innovations are associated with customer …show more content…
Factor analysis of dimension deductions function should be used to explore main factors from all of initial information sources components. KMO (Kaiser-Meyer-Olkin) model is a test for sampling adequacy and Bartlett’s test. The value of KMO varies between 0 and 1. I think that KMO statistic should be greater than 0.5 as an accepting value. Furthermore, the value between 0.5 and 0.7 are represented as general fitting, the value indicates more than 0.7 but less than 0.9, it is great and the value above 0.9 is very fitting. Bartlett’s test of sphericity measures the degree of correlations between each variable. If a significance value less than 0.05, it explains the test model to be reliable and the factor analysis is appropriate (Field,
What is innovation?
A using of new ideas to products, processes and other aspects of a firm activities lead to an increasing in value of the firm, benefits to customers or other enterprise, this situation is called innovation. A key issue to distinguish innovation, bringing a truly novel item that is produced by new techniques and designs into market; this item can be new to the firm, new to relevant market. Moreover, whether relevant market is domestic or global market is based on which it is traded in a competitive market of local or global (The nature and importance of innovation, n.d.).
How to do innovation?
Economically relevant knowledge is the body of scientific evidence and human expertise, also can be useful in the …show more content…
But a more various categories of innovation are divided into five levels with changes happening in market and social conditions, which is R&D product development, new usage of established product or service, changes in markets exploited, operational and logistical innovation and business model innovation (Johnson, 2001). There is a major finding of recent contributions is that the goals, so the different determinants of R&D and cooperation partner. However, for German manufacturing firms, Fritsch and Lukas (2001) found that the innovative effort directed at process improvement is more likely to involve cooperation with suppliers, whereas the product innovations are associated with customer …show more content…
Factor analysis of dimension deductions function should be used to explore main factors from all of initial information sources components. KMO (Kaiser-Meyer-Olkin) model is a test for sampling adequacy and Bartlett’s test. The value of KMO varies between 0 and 1. I think that KMO statistic should be greater than 0.5 as an accepting value. Furthermore, the value between 0.5 and 0.7 are represented as general fitting, the value indicates more than 0.7 but less than 0.9, it is great and the value above 0.9 is very fitting. Bartlett’s test of sphericity measures the degree of correlations between each variable. If a significance value less than 0.05, it explains the test model to be reliable and the factor analysis is appropriate (Field,