scholarly journals A citation-based ranking of German-speaking researchers in business administration with data of Google Scholar

2013 ◽  
Vol 3 (2) ◽  
pp. 140-150
Author(s):  
Alexander Dilger ◽  
Harry Müller
2008 ◽  
Vol 9 (4) ◽  
pp. 473-505 ◽  
Author(s):  
Günther G. Schulze ◽  
Christian Wiermann ◽  
Susanne Warning

Abstract This paper investigates the determinants of tenure decisions in Germany, Austria and the German-speaking part of Switzerland for professorships in economics, business administration and related fields. Our dataset comprises candidates who were awarded tenure as well as those who were eligible but were not tenured. We show that business candidates have a higher probability of being tenured than economists. Youth, marital status and publications matter; gender and children do not. The market for first appointments in economics relies much more on publication performance than the market for business administration.


2015 ◽  
Vol 39 (2) ◽  
pp. 255-264 ◽  
Author(s):  
Fee Hilbert ◽  
Julia Barth ◽  
Julia Gremm ◽  
Daniel Gros ◽  
Jessica Haiter ◽  
...  

Purpose – The purpose of this paper is to show how the coverage of publications is represented in information services. Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, BibSonomy) were analyzed by applying a new method: the use of personal publication lists of scientists. Design/methodology/approach – Personal publication lists of scientists of the field of information science were analyzed. All data were taken in collaboration with the scientists in order to guarantee complete publication lists. Findings – The demonstrated calibration parameter shows the coverage of information services in the field of information science. None of the investigated databases reached a coverage of 100 percent. However Google Scholar covers a greater amount of publications than other academic citation databases and scientific social media. Research limitations/implications – Results were limited to the publications of scientists working at an information science department from 2003 to 2012 at German-speaking universities. Practical implications – Scientists of the field of information science are encouraged to review their publication strategy in case of quality and quantity. Originality/value – The paper confirms the usefulness of personal publication lists as a calibration parameter for measuring coverage of information services.


2017 ◽  
Vol 12 (1) ◽  
pp. 125 ◽  
Author(s):  
Emma Hughes

A Review of: Hilbert, F., Barth, J., Gremm, J., Gros, D., Haiter, J., Henkel, M., Reinhardt, W., & Stock, W.G. (2015). Coverage of academic citation databases compared with coverage of scientific social media: personal publication lists as calibration parameters. Online Information Review 39(2): 255-264. http://dx.doi.org/10.1108/OIR-07-2014-0159 Abstract Objective – The purpose of this study was to explore coverage rates of information science publications in academic citation databases and scientific social media using a new method of personal publication lists as a calibration parameter. The research questions were: How many publications are covered in different databases, which has the best coverage, and what institutions are represented and how does the language of the publication play a role? Design – Bibliometric analysis. Setting – Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, Bibsonomy). Subjects – 1,017 library and information science publications produced by 76 information scientists at 5 German-speaking universities in Germany and Austria. Methods – Only documents which were published between 1 January 2003 and 31 December 2012 were included. In that time the 76 information scientists had produced 1,017 documents. The information scientists confirmed that their publication lists were complete and these served as the calibration parameter for the study. The citations from the publication lists were searched in three academic databases: Google Scholar, Web of Science (WoS), and Scopus; as well as three social media citation sites: Mendeley, CiteULike, and BibSonomy and the results were compared. The publications were searched for by author name and words from the title. Main results – None of the databases investigated had 100% coverage. In the academic databases, Google Scholar had the highest amount of coverage with an average of 63%, Scopus an average of 31%, and lowest was WoS with an average of 15%. On social media sites, Bibsonomy had the highest coverage with an average of 24%, Mendeley had an average coverage of 19%, and the lowest coverage was CiteULike with an average of 8%. Conclusion – The use of personal publication lists are reliable calibration parameters to compare coverage of information scientists in academic citation databases with scientific social media. Academic citation databases had a higher coverage of publications, in particular, Google Scholar, compared to scientific social media sites. The authors recommend that information scientists personally publish work on social media citation databases to increase exposure. Formulating a publication strategy may be useful to identify journals with the most exposure in academic citation databases. Individuals should be encouraged to keep personal publication lists and these can be used as calibration parameters as a measure of coverage in the future.


2020 ◽  
Vol 79 (1) ◽  
pp. 15-25
Author(s):  
Jean Philippe Décieux ◽  
Philipp Emanuel Sischka ◽  
Anette Schumacher ◽  
Helmut Willems

Abstract. General self-efficacy is a central personality trait often evaluated in surveys as context variable. It can be interpreted as a personal coping resource reflecting individual belief in one’s overall competence to perform across a variety of situations. The German-language Allgemeine-Selbstwirksamkeit-Kurzskala (ASKU) is a reliable and valid instrument to assess this disposition in the German-speaking countries based on a three-item equation. This study develops a French version of the ASKU and tests this French version for measurement invariance compared to the original ASKU. A reliable and valid French instrument would make it easy to collect data in the French-speaking countries and allow comparisons between the French and German results. Data were collected on a sample of 1,716 adolescents. Confirmatory factor analysis resulted in a good fit for a single-factor model of the data (in total, French, and German version). Additionally, construct validity was assessed by elucidating intercorrelations between the ASKU and different factors that should theoretically be related to ASKU. Furthermore, we confirmed configural and metric as well as scalar invariance between the different language versions, meaning that all forms of statistical comparison between the developed French version and the original German version are allowed.


2017 ◽  
Vol 76 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Vera Hagemann

Abstract. The individual attitudes of every single team member are important for team performance. Studies show that each team member’s collective orientation – that is, propensity to work in a collective manner in team settings – enhances the team’s interdependent teamwork. In the German-speaking countries, there was previously no instrument to measure collective orientation. So, I developed and validated a German-language instrument to measure collective orientation. In three studies (N = 1028), I tested the validity of the instrument in terms of its internal structure and relationships with other variables. The results confirm the reliability and validity of the instrument. The instrument also predicts team performance in terms of interdependent teamwork. I discuss differences in established individual variables in team research and the role of collective orientation in teams. In future research, the instrument can be applied to diagnose teamwork deficiencies and evaluate interventions for developing team members’ collective orientation.


2016 ◽  
Vol 60 (4) ◽  
pp. 173-186 ◽  
Author(s):  
Philipp Wolfgang Lichtenthaler ◽  
Andrea Fischbach

Abstract. This research redefined the job demands–resources (JD-R) job crafting model ( Tims & Bakker, 2010 ) to resolve theoretical and empirical inconsistencies regarding the crafting of job demands and developed a German version of the Job Crafting Scale (JCS; Tims, Bakker, & Derks, 2012 ) in two separate studies (total N = 512). In Study 1 the German version of the JCS was developed and tested for its factor structure, reliability, and construct validity. Study 2 dealt with the validity of our redefined JD-R job crafting model. The results show that, like the original version, the German version comprises four job crafting types, and the German version of the JCS is a valid and reliable generic measure that can be used for future research with German-speaking samples. Evidence for the redefined JD-R job crafting model was based on findings relating job crafting to work engagement and emotional exhaustion.


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