New electronics product introduction in automotive electronics

2000 ◽  
Author(s):  
T. Moon
IEE Review ◽  
1992 ◽  
Vol 38 (1) ◽  
pp. 32 ◽  
Author(s):  
M.H. Westbrook

IEE Review ◽  
1988 ◽  
Vol 34 (5) ◽  
pp. 202
Author(s):  
C.H.G. Mills

2019 ◽  
Vol 118 (2) ◽  
pp. 94-97
Author(s):  
Mohammad Mabrur Taufik ◽  
DewiPuspaningtyas Faeni

Small and Medium Enterprises and Indonesian Cooperatives (SMESCO) are strategies in promoting and introducing Indonesia's superior products to the international community. Through SMESCO, SME owners can work together on standardization of SME products, SME quality standardization and at the same time a forum for fostering SMEs to market their products, through human resource development programs including seminars, training, workshops and product introduction through online shops and mentoring programs. The research aims to prove and analyse the influence of: innovation strategies on the performance of SMEs in SMESCO Indonesia directly or through competitive advantage; innovation strategy towards competitive advantage; competitive advantage towards the performance of SMEs at SMESCO Indonesia. The research population is all SME companies that partner with SMESCO Indonesia. Sampling is done by probability sampling with a simple random sampling method. Data analysis using Structural Equation Modelling-Partial Least Squares, a sample of 147 small and medium business owners at SMESCO Indonesia. The results of the study prove: (1) The innovation strategy does not directly have a significant effect on the increasing performance of SME companies in SMESCO Indonesia but has a significant effect through competitive advantage; (2) Competitive advantage has a significanteffect on the increasing performance of SMEs in Indonesia.


2021 ◽  
Vol 16 (4) ◽  
pp. 28-31
Author(s):  
Paul Hansen

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Deepak M. Mathew ◽  
Hammam Kattan ◽  
Christian Weis ◽  
Jorg Henkel ◽  
Norbert Wehn ◽  
...  

Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.


2021 ◽  
Vol 16 (6) ◽  
pp. 24-27
Author(s):  
Paul Hansen

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