Erratum to: Research on Factors Composition Model of Independent Innovation Capability for High-Tech Enterprises Based on Factor Analysis

During the course of building an innovative country and enhancing the independent innovation capability, universities are the main force and the important source of high-tech innovation. The evaluation on the university's innovation ability, not only may improve university's efficiency and level of scientific research, but also make a significant sense to perfect the china' scientific research innovation system. Based on Referring to the recent research achievements at home and abroad, research and design work was carried out in the following area. Firstly, the multi-university research innovation ability evaluating indicator system is designed in this paper. By the principle of science and justice, through questionnaires, expert opinion and reference to relevant research results. The paper designed the multi-university's research innovation ability evaluating indicator system. A variety of typical evaluation models and methods are studied. Then two evaluation models between PCA-BP and PCA-FNN are taken into comparison. And the results show that the research and application of PCA-FNN is proved to be a new method and made a significant attempt for the university’s evaluation of research innovation ability.

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Relationship between Knowledge Sharing, Absorptive Capacity, and Innovation Capability: Empirical studies in minimarkets

Inovbiz: Jurnal Inovasi Bisnis ◽

10.35314/inovbiz.v9i1.1790 ◽

2021 ◽

Vol 9 (1) ◽

pp. 91

Author(s):

Sri Raharso

Keyword(s):

Factor Analysis ◽

Construct Validity ◽

Knowledge Sharing ◽

Multiple Regression ◽

Absorptive Capacity ◽

Empirical Studies ◽

Innovation Capability ◽

West Java ◽

Five Factors ◽

The Relationship

This study aims to identify the relationship between knowledge sharing, innovation capabilities, and absorptive capacity. The study was conducted on 209 employees of a minimarket, in Bandung, West Java. Sampling was done incidentally. Factor analysis produces five factors for which construct validity is acceptable. Empirically, the multiple regression results support the research hypothesis. Knowledge sharing positively and significantly affects innovation capability and absorptive capacity. Furthermore, absorptive capacity partially mediates the relationship between knowledge sharing and innovation capabilities.

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DECONSTRUCTING LAWSON AND SAMSON’S CONCEPT OF INNOVATION CAPABILITY: A CRITICAL ASSESSMENT AND A REFINEMENT

International Journal of Innovation Management ◽

10.1142/s1363919619500531 ◽

2019 ◽

Vol 23 (06) ◽

pp. 1950053 ◽

Cited By ~ 3

Author(s):

ARMAND DJOUMESSI ◽

SHU-LING CHEN ◽

STEPHEN CAHOON

Keyword(s):

Factor Analysis ◽

Dynamic Capabilities ◽

Innovation Management ◽

Empirical Studies ◽

Capabilities Approach ◽

Three Dimensions ◽

Innovation Capability ◽

Maritime Industry ◽

Firm Level ◽

Confirmatory Factor

For almost 20 years, research on firm level innovation have relied upon [Lawson and Samson (2001). Developing innovation capability in organisations: A dynamic capabilities approach. International Journal of Innovation Management, 5(3), 377–400] concept of innovation capability (IC). Of note, these authors stated that this concept needs to be ‘refined, validated and tested using other research methods’ [Lawson and Samson (2001). Developing innovation capability in organisations: A dynamic capabilities approach. International Journal of Innovation Management, 5(3), 377–400], p. 396. To date, empirical studies heeding this call have been challenging to find. By researchers relying on this untested concept, they risk not attaining comprehensive insights into the firm level mechanisms underpinning the transformation idea and knowledge into innovations. This paper proposes a rethinking of the IC concept. The analysis is based on survey data of 69 firms involved in the Australian maritime industry using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The results suggest that the IC concept might be refined from seven dimensions, initially conceptualised, to three dimensions. The three dimensions are renamed as institutionalising innovation, implementing innovation and stimulating innovation.

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