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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

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