186,207 research outputs found
Replication package for: The Aggregate Labor Supply Curve at the Extensive Margin
No full text<p>This is the replication package for:</p>
<p>Mui and Schoefer. Forthcoming. "The Aggregate Labor Supply Curve at the Extensive Margin." <em>The Review of Economic Studies</em>.</p>
<p>It contains the data and programs necessary to replicate the subset of results, figures and tables in the paper that were made using publicly available data.</p>
sj-pdf-1-ilr-10.1177_00197939211065727 – Supplemental material for What Does Codetermination Do?
No full textSupplemental material, sj-pdf-1-ilr-10.1177_00197939211065727 for What Does Codetermination Do? by Simon Jäger, Shakked Noy and Benjamin Schoefer in ILR Review</p
Supplemental Material, JSR-17-160_R6_Online_Appendices - The Dark Side of Customer Participation: When Customer Participation in Service Co-Development Leads to Role Stress
No full textSupplemental Material, JSR-17-160_R6_Online_Appendices for The Dark Side of Customer Participation: When Customer Participation in Service Co-Development Leads to Role Stress by Markus Blut, Nima Heirati and Klaus Schoefer in Journal of Service Research</p
Supplemental Material, JSR-17-160_R6_Executive_Summary - The Dark Side of Customer Participation: When Customer Participation in Service Co-Development Leads to Role Stress
No full textSupplemental Material, JSR-17-160_R6_Executive_Summary for The Dark Side of Customer Participation: When Customer Participation in Service Co-Development Leads to Role Stress by Markus Blut, Nima Heirati and Klaus Schoefer in Journal of Service Research</p
sj-pdf-1-ppo-10.1177_07439156231224731 - Supplemental material for The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research
No full textSupplemental material, sj-pdf-1-ppo-10.1177_07439156231224731 for The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research by Haiyan Chen, Klaus Schoefer, Danae Manika and Effy Tzemou in Journal of Public Policy & Marketing</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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