↓ Skip to main content

Complexity in Entrepreneurship, Innovation and Technology Research

Overview of attention for book
Complexity in Entrepreneurship, Innovation and Technology Research
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Challenge of Dealing with Complexity in Entrepreneurship, Innovation and Technology Research: An Introduction
  3. Altmetric Badge
    Chapter 2 Using Mixed-Methods Designs to Capture the Essence of Complexity in the Entrepreneurship Research: An Introductory Essay and a Research Agenda
  4. Altmetric Badge
    Chapter 3 Applying Mixed Methods in Entrepreneurship to Address the Complex Interplay of Structure and Agency in Networks: A Focus on the Contribution of Qualitative Approaches
  5. Altmetric Badge
    Chapter 4 Complexity, Cultural Evolution, and the Discovery and Creation of (Social) Entrepreneurial Opportunities: Exploring a Memetic Approach
  6. Altmetric Badge
    Chapter 5 Complexity and Entrepreneurship: Modeling the Process of Entrepreneurship Education with the Theory of Synergetics
  7. Altmetric Badge
    Chapter 6 Computer Simulation Studies of the Entrepreneurial Market Process
  8. Altmetric Badge
    Chapter 7 Analyzing Complex Organizational Arguments with Logical Model Building
  9. Altmetric Badge
    Chapter 8 Exploring Complex Phenomena with Qualitative Research Methods: An Examination of Strategic Innovation Trajectories in Haute Cuisine
  10. Altmetric Badge
    Chapter 9 Effectuation and the Think-Aloud Method for Investigating Entrepreneurial Decision Making
  11. Altmetric Badge
    Chapter 10 Applying Factorial Surveys for Analyzing Complex, Morally Challenging and Sensitive Topics in Entrepreneurship Research: The Case of Entrepreneurial Ethics
  12. Altmetric Badge
    Chapter 11 Illustrating Complexity in the Brand Management of Family Firms
  13. Altmetric Badge
    Chapter 12 A Systematic Approach to Business Modeling Based on the Value Delivery Modeling Language
  14. Altmetric Badge
    Chapter 13 Action Research as a Viable Methodology in Entrepreneurship Research
  15. Altmetric Badge
    Chapter 14 Is Qualitative Comparative Analysis an Emerging Method?—Structured Literature Review and Bibliometric Analysis of QCA Applications in Business and Management Research
  16. Altmetric Badge
    Chapter 15 The Complex Determinants of Financial Results in a Lean Transformation Process: The Case of Italian SMEs
  17. Altmetric Badge
    Chapter 16 Young Innovative Companies and Access to Subsidies
  18. Altmetric Badge
    Chapter 17 Applying QCA and Cross-impact Analysis to the Study on ICT Adoption and Use by Croatian SMEs
  19. Altmetric Badge
    Chapter 18 Configurational Analysis in the Evaluation of Complex Public Programs: Application in the Area of Knowledge Transfer
  20. Altmetric Badge
    Chapter 19 Entrepreneurial Orientation and the Handling of Complexity in Small and Medium Enterprise Research
  21. Altmetric Badge
    Chapter 20 Capturing the Complexity and Ambiguity of Academic Fields: Determining Consensual Definitions for Small Business Research, Entrepreneurship and Their Shared Interface
  22. Altmetric Badge
    Chapter 21 What Do Organizations Think Are Their Risks and Uncertainties? Risk Self-Assessments Within Securities Reports as a New Source for Entrepreneurship, Innovation and Technology Research
  23. Altmetric Badge
    Chapter 22 Complexity of Textual Data in Entrepreneurship and Innovation Research
Attention for Chapter 18: Configurational Analysis in the Evaluation of Complex Public Programs: Application in the Area of Knowledge Transfer
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Configurational Analysis in the Evaluation of Complex Public Programs: Application in the Area of Knowledge Transfer
Chapter number 18
Book title
Complexity in Entrepreneurship, Innovation and Technology Research
Published in
FGF Studies in Small Business and Entrepreneurship, February 2016
DOI 10.1007/978-3-319-27108-8_18
Book ISBNs
978-3-31-927106-4, 978-3-31-927108-8
Authors

Dariusz Szklarczyk, Seweryn Krupnik, Jan Strycharz, Patrycja Antosz, Zuzanna Drożdżak, Karolina Łukasiewicz, Anna Szczucka

Editors

Elisabeth S.C. Berger, Andreas Kuckertz

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 20%
Lecturer 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Social Sciences 2 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Business, Management and Accounting 1 20%
Engineering 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2016.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from FGF Studies in Small Business and Entrepreneurship
#1
of 1 outputs
Outputs of similar age
#270,261
of 313,287 outputs
Outputs of similar age from FGF Studies in Small Business and Entrepreneurship
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them