How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis

Enhancing the effectiveness of multi-agent cooperation for green manufacturing: Dynamic co-evolution mechanism of a green technology innovation system based on the innovation value chain

Today’s education institutions are constantly striving to develop and enhance the quality of employees to achieve a competitive advantage in the education market. Investing in developing the human capital quality has become a vital part of the institution strategy in managing the resources. In conjunction with the government aims in enhancing the quality of education system the institution nowadays is striving to nurture the lecturer’s capabilities towards the strategy. This paper aims to assess the internal consistency of data therefore; the further analysis procedure can be carried out systematically. For this purpose, the Cronbach’s alpha coefficient is used in validating the adapted questionnaire. It is a necessary procedure for the pilot testing phase to measure the strength of consistency as it is a well-known and consistent method to measure the reliability of items in the instrument. As for the example of practical, the data derived from a study which was conducted to 345 lecturers from 9 polytechnic campuses in East Coast Malaysia (Kelantan, Terengganu and Pahang) was applied. The questionnaire consists of 63 questions with 7 scales that were used to identify the internal consistency. The preliminary analysis of the reliability analysis resulted in strong associations (greater than 0.6) for all variables. The finding obtained has proven that the research’s instrument has high association of consistency to enhance the quality of the study.
Keywords: Human Capital Investment, TVET Institutions, Internal Consistency and Cronbach Alpha

https://journal.unisza.edu.my/apj/index.php/apj/article/download/121/114

A review on the internal consistency of a scale: the empirical example of the influence of human capital investment on malcom baldridge quality principles in tvet institutions

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

https://www.mdpi.com/1660-4601/17/9/3211/pdf

Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation.

Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model

Ying Wang

Papers

Process optimization of the University-Industry-Research collaborative innovation from the perspective of knowledge management