An Empirical Research on the Influence of Information Synergy on Nuclear Power Affiliated Enterprise’s Innovation Performance

Author(s):  
Yu-qiong Li ◽  
Dong-mei Zhao ◽  
Kai Chen

The purpose of this paper is to provide a more realistic competitive advantage concept in order to investigate the impact of an innovative mindset, behaviour and performance on Halal SME’s competitive advantage in the context of a challenging worldwide Halal’s market. This study uses an constant methodology by outlining, analysing, arranging, and focusing the current state of the literature and proposes a research framework which assist in overcoming the restraints encountered in previous empirical research. The use of an innovative mindset and behaviour enables the researchers to provide a great explanation of a innovative performance and its relationship to competitive advantage. This study seeks to contribute to the practice of competitiveness of Halal SMEs area of research. Specifically, this study emphasises that Halal SMEs owner-managers should have innovative mindsets that can stimulate innovative behaviour and which can be translated into innovation performance and subsequently competitive advantage.


2012 ◽  
Vol 16 (02) ◽  
pp. 1250012 ◽  
Author(s):  
CLANDIA MAFFINI GOMES ◽  
ISAK KRUGLIANSKAS ◽  
FLÁVIA LUCIANE SCHERER

This paper is part of a broader empirical research study about Brazilian industrial firms with innovative characteristics. The study involved more than 70 enterprises in the sample. Its aim was to provide inferences on the relationships between the management of sources of technological information and the innovation performance of the firms studied. In this paper, an analysis compares larger and smaller enterprise and identifies what the differences are between them. The analysis of the data suggests there are associations between many of the indicators of the management of sources of technological information, and the indicators of innovation performance studied. Approximately 100 significant relationships were found and many of them differ between larger and smaller enterprises.


2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Yongfeng Qiu

This thesis reviews and fully understands the current situation of J pharmaceutical according to a empirical research,which has been carried out by corresponding investigation and research on the design of questionnaires for Jingfeng Pharmaceutical's investment in innovation resources, the construction of innovation capabilities, digital transformation, innovation environment adaptation and facing, and innovation performance improvement. After research, it is found that there is a lot of space for improvement in the adaptation and facing of the innovation environment of J pharmaceutical, and the construction of innovation ability is also a short board. The digital transformation needs to be broken through urgently. Enhance J pharmaceutical innovation ability, comprehensively build J pharmaceutical innovation ability of culturally, technically, and managerially; Accelerate digital transformation, and then continue to increase the input of key resources, especially the training and introduction of talents, and key facilities. In order to adapt to and face the rapidly changing market environment under the digital economy, J pharmaceutical can improve the corporate performance.


2019 ◽  
Vol 11 (24) ◽  
pp. 7145 ◽  
Author(s):  
Shengbin Hao ◽  
Haili Zhang ◽  
Michael Song

Literature suggests that big data is a new competitive advantage and that it enhance organizational performance. Yet, previous empirical research has provided conflicting results. Building on the resource-based view and the organizational inertia theory, we develop a model to investigate how big data and big data analytics capability affect innovation success. We show that there is a trade-off between big data and big data analytics capability and that optimal balance of big data depends upon levels of big data analytics capability. We conduct a four-year empirical research project to secure empirical data on 1109 data-driven innovation projects from the United States and China. This research is the first time reporting the empirical results. The study findings reveal several surprising results that challenge traditional views of the importance of big data in innovation. For U.S. innovation projects, big data has an inverted U-shaped relationship with sales growth. Big data analytics capability exerts a positive moderating effect, that is, the stronger this capability is, the greater the impact of big data on sales growth and gross margin. For Chinese innovation projects, when big data resource is low, promoting big data analytics capability increases sales growth and gross margin up to a certain point; developing big data analytics capability beyond that point may actually inhibit innovation performance. Our findings provide guidance to firms on making strategic decisions regarding resource allocations for big data and big data analytics capability.


Sign in / Sign up

Export Citation Format

Share Document