Personal tools

Information zum Seitenaufbau und Sprungmarken fuer Screenreader-Benutzer: Ganz oben links auf jeder Seite befindet sich das Logo der JLU, verlinkt mit der Startseite. Neben dem Logo kann sich rechts daneben das Bannerbild anschließen. Rechts daneben kann sich ein weiteres Bild/Schriftzug befinden. Es folgt die Suche. Unterhalb dieser oberen Leiste schliesst sich die Hauptnavigation an. Unterhalb der Hauptnavigation befindet sich der Inhaltsbereich. Die Feinnavigation findet sich - sofern vorhanden - in der linken Spalte. In der rechten Spalte finden Sie ueblicherweise Kontaktdaten. Als Abschluss der Seite findet sich die Brotkrumennavigation und im Fussbereich Links zu Barrierefreiheit, Impressum, Hilfe und das Login fuer Redakteure. Barrierefreiheit JLU - Logo, Link zur Startseite der JLU-Gießen Direkt zur Navigation vertikale linke Navigationsleiste vor Sie sind hier Direkt zum Inhalt vor rechter Kolumne mit zusaetzlichen Informationen vor Suche vor Fußbereich mit Impressum

Document Actions

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.

 

 Section Head

 

Notes:

Responsible for this website are  and .

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.


Title: The Latent Adaptation-State-Trait (LAST) Framework
 
Abstract: A common understanding of personality needs clear and common definitions. The field of personality psychology, however, has produced varied concepts of personality characteristics (e.g., traits, motives, values, or narratives) and structurally organized systems to describe personality differences and individual uniqueness. There is no sufficiently common understanding of what personality comprises. I will argue that a full understanding of personality differences and development has to include the persons’ characteristics, the characteristics of their environments, and the extent to which persons and their environments fit. In this talk, I will build on and harmonize existing and partly conflicting theories as well as methodological approaches to clearly define and operationalize traits, states, and adaptations in one framework. Traits are defined as characteristics of the person, adaptations as characteristics of the person-in-contexts, and states as characteristics of the person-in-situations. Based on these concepts, I will provide testable criteria to differentiate person characteristics from characteristics of person-environment units. In addition, I will outline implications for the assessment and modeling of inter-individual differences and intra-individual development.
 
Short Bio: Christian Kandler received his diploma in psychology in 2007 at Friedrich Schiller University Jena. After his graduation, he conducted research and taught as a research assistant (2007-2012), assistant professor (2012-2016) and interim professor (2016-2017) at the Bielefeld University. He completed his doctorate thesis in 2010, entitled “The Nature of Personality: Validity, Continuiety and Interaction of the Genetic Make-up and Environment”, and received the venia legendi in psychology in 2017 with the habilitation thesis entitled “Genotype-Environment Interplay of Personality Development”. He was professor at the MSB Medical School Berlin (2017-2018) and is now Professor of Personality Psychology and Psychological Assessment at the University of Bremen. Kandler’s research is focused on the description and explanation of patterns and dynamics of interindividual differences in intraindividual personality development across the lifespan.

 

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.