2018
DOI: 10.12973/ijem.4.1.45
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Impact of Gender and Conference Size on Conference Preferences – Employing Natural Language Processing

Abstract: This pilot study focuses on the impact of academic conferences from a gender-based perspective. What motivates faculty members to attend conferences? Which conferences do they choose? Can differences be found between men and women in their attitude to the effect of the conference and its contribution to their academic work, in light of many studies on the significance women attach to the value of family and its prioritization over their career? The study dealt with a case study of one university in Israel. Nin… Show more

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Cited by 14 publications
(9 citation statements)
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“…First, major themes were identified in the texts of faculty members' responses to the open-ended question (Eckhaus & Davidovitch, 2018a. This process of identifying categories within texts is known as text categorization.…”
Section: Discussionmentioning
confidence: 99%
“…First, major themes were identified in the texts of faculty members' responses to the open-ended question (Eckhaus & Davidovitch, 2018a. This process of identifying categories within texts is known as text categorization.…”
Section: Discussionmentioning
confidence: 99%
“…In the first step, all the responses to the open questions were manually coded. This manual process is known as text categorization (Narhari & Shedge, 2017), in which the content is manually overviewed and major themes are identified (Davidovitch & Eckhaus, 2018;Eckhaus & Davidovitch, 2018a. Specifically, for the purpose of this study positive replies to the first and second questions were tagged.…”
Section: Discussionmentioning
confidence: 99%
“…First, the known process of text categorization was performed (Bruce & Wiebe, 1999), a manual analysis process where all texts are read and major themes are identified and tagged (Davidovitch & Eckhaus, 2018;Eckhaus & Davidovitch, 2018a). Based on these major themes a model was constructed.…”
Section: Discussionmentioning
confidence: 99%