Informetric analyses and textmining

Prof. Dr. Thorsten Teichert

Course

Description









Informetric analyses and textmining Prof. Dr. Thorsten Teichert


Institute for Marketing and Innovation


This methodological course is structured as a block module. It is suitable for PhD students of all fields of social and economic sciences. The course content is based on more than 10 years of experience in publishing with PhD students.

Accompanying to the attendance of the block seminar, participants have the possibility to pursue and document an own text-mining analysis within a subject area of their interest. Active and documented course participation is honored with 4 ECTS. In addition, participants are encouraged to utilize the composing of their seminar thesis to prepare a subsequent publication.

Language of the course: German or English (depending on languages spoken by participants)

Contents:

Informetric approaches of literature analysis offer unique possibilities to systematically investigate scientific research topics. Informetrics is a suitable tool to get familiar with a new topic (for example at early stages of dissertation projects). Moreover, informetrics can be utilized for preparing a stand-alone publication of a systematic literature review within a specific field of research.

Informetric analyses combine bibliometric approaches with text-analytical processes and thus are able to provide a 360-degree view of the state of research. Simple bibliometric approaches provide an overview of important journals, authors as well as individual works of a research area. Co-citation analyses allow to identify associated research streams and to reveal dynamically changing trends of the scientific discourse. Different multivariate analytical methods like factor-, cluster- and social network analysis can be used to derive meaningful indicators describing scientific discourses and to obtain an overall – also graphical – overview of a research area. Text-mining is able to enrich analysis and to describe relevant research areas through established vocabulary and key words. 2

Targets of course:

Target group: PhD students who want to apply informetric methods within their respective research projects and who are looking for hands-on experience and support in doing so.

The seminar enables participants to use novel informetric analyses to support their scientific work and to pursue publications by means of bibliometric analyses. Each participant works on a topic chosen by him- or herself to gain expertise for own research work. The following analysis steps will be performed during the seminar and implemented for one´s own research topic:

1. Data basis and data extraction

- How do I conduct a SSCI Search Request, which accurately covers my topic?

- How do I extract data and how do I prepare data to receive meaningful results (i.e. spelling of names of authors and journals)?

- Which results can I get by means of descriptive analyses? (e.g. Pilkington, Teichert, 2006)

- How do I use text-mining software like KH-Coder to support the processing of

textual data?

2. Analytical approach

- How does a typical process of analysis look like? (e.g. Teichert & Shehu 2010)

- Which methods of analysis serve which research questions?

- How can I combine multivariate analyses (factor- and cluster analysis) with graphic presentations (social network analysis)?

3. Informetric tools

- How does a typical process of informetric analysis look like? (e.g. Kuntner & Teichert 2015)

- What do I have to take into account when it comes to a multivariate analysis of text data?

- Which software exists and how do I use it (especially focusing on text-mining)?

3

Structure of the course:

1. Block: Basics and data acquisition

An overview of the methods of informetrics is provided in a one-day kick-off. Processes of literature research and -processing are introduced and explored.

< Homework: Data extraction from SSCI, citation analysis >

2. Block: Bibliometric analysis

In the morning: Achieved results (homeworks) are presented and questions discussed.

After lunch: Processes of bibliometric analysis are presented and applied to own example.

< Homework: Co-citation- and network analysis>

3. Block: Text-mining und -analysis

In the morning: Achieved results (homeworks) are presented and questions discussed.

After lunch: Methods of text analysis are presented and explored on own data.

<Homework: Text analysis (additional: finalization of the seminar work) >

4. Block: Positioning of publication

Finally obtained results (homeworks) are presented and remaining questions discussed.

Literature (examples from instructors´ publications):

Kuntner, T.; Teichert, T. (2016), The scope of price promotion research: An informetric study, Journal of Business Research, 69, 2687-2696

Teichert, T. (2014), Themen und Trends der Werbeforschung, transfer – Werbeforschung & Praxis, Vol. 60 (2), 19-31.

Teichert, T.; Shehu, E. (2010), Investigating research streams of conjoint analysis: A bibliometric study, BuR – Business Research, Vol. 3 (1), 49–68.

Pilkington, A., Teichert, T. (2006), Management of Technology: themes, concepts and relationships, Technovation, Vol. 26, 288–299.











General Data

  • Abbreviation
    20-101.05
  • Semester
    winter semester 16/17
  • Target Groups
    WiSo doctoral study program
  • Course Type
    workshop
  • Course Language
    German and English
  • Departments
    Faculty of Economics and Social Sciences

Place and Time

Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    from 24/10/2016 to 24/10/2016 from 09:00 to 18:00
Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    from 21/11/2016 to 21/11/2016 from 09:00 to 18:00
Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    from 19/12/2016 to 19/12/2016 from 09:00 to 18:00
Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    from 23/01/2017 to 23/01/2017 from 09:00 to 18:00

Recognition Modalities

  • Number of Semester Hours
    2
  • Amount of Credit Points
    4
  • Creditable as
    • WiSo doctoral program: WiSo methods for Economics
    • WiSo doctoral program: WiSo methods for Social Economics
    • WiSo doctoral program: WiSo methods for Social Siences

Registration Modalities

  • Type of Place Allocation
    Manual Place Allocation (after the registration deadline)
  • Information about Registration
  • Max. Number of Participants
    20