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Master thesis presentation
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Innovation
Introduction
Importance of innovation
Measuring innovation
Innovation = theoretical conception + technical invention + commercial exploitation
New products and services
Improvement in quality
Decrease the costs
Economic growth
Conclusion
Social media content as an indicator is not meant to capture all aspects of innovation or to substitute for other indicators, but is seen as a useful addition to the range of indication available.
Managerial implication
Improvement in customer relationship management
Content generation
Competitors analysis
Limitations
Information retrieval
Characteristics of user generated content in social media
Sentiment analysis level of accuracy
Further research
Major innovation indicators
Improvements in analyzing contents in terms of their polarity
Considering users impact in social media
Innovation is a complex process made from different activities therefore a promising solution would be an analysis of multiple indicators which might allow us to measure innovative performance through a more complex, more informative, composite measure. (Hagedoorn, 2003)
New Innovation indicator
MASTER’S THESIS
Social Media
User Generated Content (UGC)
SOCIAL MEDIA CONTENT AS A HIGH POTENTIAL INDICATOR FOR MEASURING INNOVATION PERFORMANCE
Necessity of moving businesses to social media is MUST
- Big data
- Availability
- Cost efficient
Case study of six major companies in computer industry
Sentiment Analysis/Opinion Mining:
- Determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document.
- Classifying the polarity of a given text to see whether the expressed opinion in the text is positive, negative or neutral.
First supervisor: Professor Helinä Melkas
Second supervisor: Professor Jari Porras
Author: Arash Hajikhani
Information retrieval
Practical part
Building search query:
- Company related keywords
- Time scope
- language
Company selection
Public opinion mining
Standford University Sentiment analysis API
• Active in social network services in number of fans/followers
• Scale of available generated content for the studied period
• Existence of evaluation history of innovation performance by major ranking and indexing publishers
Data processing
User | Tweet | Date
Unstructured data:
Data Preparation: Cleaning, Filtering, Simplifying, Uniform
Results
Normalized sentiment results
Collected for long period
Research & Development data
Economic significance of innovation products
Patent activity
Long history
Structured
Source of information
Small firms
Indication of invention rather than innovation
Quite late in the innovation life cycle
Innovation survey
Regular interval data collection
Data about innovation expenditure
Information from non innovators
Low response rate
Bibliometric data
Reliable data source
Data sources
In-house innovation
larg firms
Main research question:
Is social media content a high potential indicator for measuring innovation performance?
1.1 What is the value added of using social media content as indicator in comparison to other major innovation indicators?
1.2 What methodology can evaluate User Generated Content (UGC) more efficiently?
NOW
Before
Validating the results
Worlds Most Innovative Companies
2013
2009