The Effects of Industrial Specialization and Innovation Ecosystem on the Innovation Performance in the Firms : The Case of the Manufacturing Industry in Chungbuk Province

The structure of the manufacturing industry has forced manufacturing companies to understand the importance of digitalization and servitization transformation, in terms of production and R&D. In this study, we examine the relationship between servitization, digitization, and enterprise innovation performance through the lens of dynamic capabilities within enterprises. We also discuss the impact of the transformation servitization strategy on business innovation, and the mechanisms by which it impacts business innovation performance. The study’s findings indicate that servitization significantly contributes to innovation performance, and digitalization acts as a mediating mechanism between the proposed relationships. Thus, this article argues for the integration and growth of servitization and digitization.

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INNOVATION PERFORMANCE OF CZECH AND FINNISH MANUFACTURING ENTERPRISES AND THEIR POSITION IN THE EU

ACC Journal ◽

10.15240/tul/004/2021-2-001 ◽

2021 ◽

Vol 27 (2) ◽

pp. 7-21

Author(s):

Petr Blaschke ◽

Jaroslav Demel ◽

Iouri Kotorov

Keyword(s):

Czech Republic ◽

Performance Indicators ◽

Manufacturing Industry ◽

Public Support ◽

Innovation Performance ◽

European Countries ◽

Size Group ◽

The Czech Republic ◽

Manufacturing Enterprises ◽

The Eu

The aim of this article is to assess the innovation performance of innovative small, medium-sized, and large enterprises operating in the manufacturing industry in two European countries – the Czech Republic (CR) and Finland, and to determine their position within the EU based on a comparison with average values of created Fictitious EU Country (FEUC). The FEUC includes the indicators and population of the EU member countries whose data were available. The performed analysis is based on the use of selected key performance indicators (related mainly to inputs that are expected to contribute to innovations) evaluating the enterprises´ innovation performance. The conducted research tries to identify the most significant drivers of innovation performance with regard to the size group of enterprises. Moreover, the achieved results are further compared within the innovation environment of the CR and Finland as well as the EU as a whole. It is worth highlighting the innovation resources of Finnish mainly small but partly also medium-sized enterprises, which in some monitored indicators occupy a much more significant share than in the case of the CR. This fact can indicate a particular signal, which size group of enterprises should become a target group of public support aiming to boost innovation performance.

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An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance

Journal of Global Information Management ◽

10.4018/jgim.20210701.oa7 ◽

2021 ◽

Vol 29 (4) ◽

pp. 148-171

Author(s):

Yu Sun ◽

Ling Li ◽

Yong Chen ◽

Mikhail Yu Kataev

Keyword(s):

Empirical Study ◽

Structural Equation ◽

Equation Model ◽

Innovation Performance ◽

Learning Ability ◽

Environmental Concerns ◽

Innovation Ecosystem ◽

Relationship Strength ◽

Technological Trajectory ◽

Network Relationship

This paper explores technological trajectory transition in the perspective of innovation ecosystem and their effect on innovation performance of latecomers in market. A structural equation model is developed and tested with data collected from 366 firms in China. In specific, this paper categories technological trajectory transition creative accumulative technological trajectory transition (CCT) and creative disruptive technological trajectory transition (CDT). The results indicate that firms' organizational learning ability positively affect their technological trajectory transition and innovation performance. Firms' network relationship strength negatively affects their technological trajectory transition and positively affect their innovation performance. Governments' environmental concerns positively affect firms' technological trajectory transition and their innovation performance, whereas firms' environmental concerns do not. CCT does not positively affect their innovation performance. In contrast, CDT positively affects their innovation performance.

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Research on The Effect of Subject Heterogeneity on Innovation Performance in Manufacturing Digital Innovation

E3S Web of Conferences ◽

10.1051/e3sconf/202129203001 ◽

2021 ◽

Vol 292 ◽

pp. 03001

Author(s):

Jing Gao ◽

Wanfei Zhan ◽

Tao Guan ◽

Qiuhong Feng

Keyword(s):

Value Chain ◽

Manufacturing Industry ◽

Innovation Performance ◽

Theory And Practice ◽

Three Dimensions ◽

Coordinated Development ◽

Digital Innovation ◽

Manufacturing Enterprises ◽

Collaborative Innovation ◽

Multi Agent

The digital transformation of manufacturing industry accelerates the collaborative innovation of multi-agent value co-creation, which makes the influence of subject heterogeneity on the innovation performance in digital innovation become a focus issue in both theory and practice. This paper builds a conceptual model of subject heterogeneity in digital collaborative innovation influence on the innovation performance from target heterogeneity, knowledge heterogeneity and organization heterogeneity three dimensions, which based on the perspective of the behavior subjects in manufacturing digital innovation of value co-creation. Then we deeply explore the influence mechanism between the heterogeneous cooperative innovation behavior of heterogeneous value subject and the innovation performance in digital innovation. The research results are helpful to realize higher quality digital cooperation among manufacturing enterprises, promote the coordinated development of digital value chain, and improve the digital innovation performance.

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