Organizational Behavior & Human Resource Management
Mission Statement
The research interests of this interdisciplinary section cover the areas of Human Resource Management and Organizational Behavior. Specific fields of interest include leadership; teamwork; new team-based forms of organization; the roles of hierarchy, power, status and influence; emotions in organizations; personnel diagnostics (e.g., applicant selection, employee assessment); career management and career adjustments; assessing and promoting work performance in different contexts; personality and intelligence in careers; and the scientist-practitioner gap in Human Resource Management and Organizational Behavior.
The section aims to advance the research areas of Human Resource Management and Organizational Behavior at JLU and strengthen JLU’s national and international visibility in these fields to make JLU even more attractive to young researchers. The section strives to involve both senior and early-career researchers in all academic disciplines concerned with the human being in an organizational context and/or organizational structures.
Section Head
The OB & HRM Section is lead by the following team: Katja Wehrle, Dr. Sascha Abdel Hadi, Dr. Pascale Stephanie Petri, Dr. Katerina Tsantila.
Notes:
Responsible for this website are Katerina Tsantila and Pascale Petri.
Budgetholder: Section Head
Current and Upcoming Events
Save the date: Online guest lecture on Friday, July 1st, 01:30 p.m. - 03:00 p.m., "The Latent Adaptation-State-Trait (LAST) Framework", by Prof. Dr. Christian Kandler.
If you are interested in attending this online guest lecture, please send an email to pascale.s.petri@psychol.uni-giessen.de to receive the meeting link.
Save the date: Online Workshop on Monday, September 26, 2022, 2:00-6:00 pm: "Text Mining in R", by Prof. Dr. Nicolas Pröllochs.
Title: Text Mining in R
Abstract: Das digitale Zeitalter hat zu einem sprunghaften Anstieg der verfügbaren Text-Daten geführt. Text Mining bietet computergestützte Techniken, um aus unstrukturierten Text-Daten handlungsrelevante Erkenntnisse abzuleiten. Der Workshop "Text Mining in R" vermittelt Teilnehmer/innen einen Überblick über eine breite Palette an Text-Mining-Methoden (z.B. Exploratory Text Analysis, Dictionary-Based Sentiment Analysis). Am Ende des Workshops sind Teilnehmer/innen mit den wichtigsten Konzepten des Text Mining vertraut. Der Workshop konzentriert sich auf die praktische Implementierung von Text Mining in der Programmiersprache R.
Participation requirements: Teilnehmer/innen sollten über grundlegende Kenntnisse in der Programmiersprache R verfügen (z.B. Data Import, Data Manipulation). Relevantes Hintergrundwissen kann aus dem frei verfügbaren Buch "R for Data Science" (Kapitel 10-15) von Hadley Wickham erlangt werden ( http://r4ds.had.co.nz/).
Short Bio: Prof. Dr. Nicolas Pröllochs ist Inhaber der Professur für Data Science und Digitalisierung an der Justus-Liebig-Universität Gießen. Vor seiner Zeit in Gießen war er an der Universität Freiburg und der University of Oxford beschäftigt. Seine Forschung widmet sich der Entwicklung und Anwendung von Data Science Methoden zur quantitativen Analyse unstrukturierter Daten auf digitalen Plattformen. Darüber hinaus ist er passionierter Programmierer und Autor weitverbreiteter Open-Source-Tools für Machine Learning und Text Mining.
No. of participants: Max. 12 participants
If you are interested in attending this online workshop, please send an email to katja.wehrle@psychol.uni-giessen.de to register and to receive the meeting link.
Save the date: Online guest lecture on Friday, October 28th, 2022, 2:00 p.m. to 3:30 p.m., "Introduction to Bayesian Analysis", by Dr. Stephan Poppe (University of Leipzig).
Our last event, a guest lecture by Prof. Dr. Bettina Kubicek with the title "Kognitive Anforderungen flexibler Arbeit – Stressverursachend und lernförderlich?" took place on Friday, June 10th, 2022.
A guest lecture on "The surprising emotional resilience of older workers: Are there no limits?" by Prof. Susanne Scheibe, took place on Monday, May 30th, 2022.