IMPACT OF NEW PRODUCT INTRODUCTION ON PLANT PRODUCTIVITY IN THE NORTH AMERICAN AUTOMOTIVE INDUSTRY

2011 ◽  
Vol 2011 (1) ◽  
pp. 1-6
Author(s):  
Anand Gopal ◽  
Manu Goyal ◽  
Serguei Netessine ◽  
Matthew Reindorp
Keyword(s):  
Automotive Industry ◽  
North American ◽  
New Product ◽  
Plant Productivity ◽  
New Product Introduction ◽  
Product Introduction ◽  
The North

The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry

2013 ◽  
Vol 59 (10) ◽  
pp. 2217-2236 ◽  
Author(s):  
Anandasivam Gopal ◽  
Manu Goyal ◽  
Serguei Netessine ◽  
Matthew Reindorp
Keyword(s):  
Automotive Industry ◽  
North American ◽  
New Product ◽  
Plant Productivity ◽  
New Product Introduction ◽  
Product Introduction ◽  
The North ◽  
The Impact

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

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.

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