M.Sc. Leonie Freise

Wissenschaftliche Mitarbeiterin

Telefon: +49 561 804-6066
E-Mail: leonie.freise[at]uni-kassel[dot]de

Standort: Pfannkuchstraße 1
34121 Kassel

Raum: ITeG, 1250, 1. Etage

Sprechstunde

Mi, 13:00-14:00 Anmeldung per E-Mail erforderlich. Weitere Termine nach Vereinbarung.

Lebenslauf

Ausbildung

(10/2019 – 03/2022) Studium in Wirtschaft, Psychologie & Management (Master of Science) an der Universität Kassel.

Thema der Masterarbeit: Sustainability Transformations at Higher Education Institutions“.

(10/2015 – 03/2019) Studium der Psychologie (Bachelor of Science) an der Universität Trier mit dem Schwerpunkt Wirtschaftspsychologie.

Thema der Bachelorarbeit: „The Ability to Switch Off: What Facilitates and Influences Psychological Detachment“.

Arbeitserfahrung

(08/2021 – 04/2022) Studentische Hilfskraft in der Wirtschaftsinformatik an der Universität Kassel, Kassel.

(02/2021 – 08/2021) Werkstudentin & OKR Master in der Organisationsentwicklung am Fraunhofer Institut IEE, Kassel.

(09/2020 – 01/2021 Praktikum in der Menschenrechtsberatung bei Löning – Human Rights & Responsible Business, Berlin

(12/2019 – 08/2020) Studentische Hilfskraft in der strategischen Personalentwicklung und Organisationskultur an der Universität Kassel, Kassel.

(04/2019 – 10/2019) Praktikum & Werkstudententätigkeit im Leadership Consulting bei PricewaterhouseCoopers Frankfurt am Main.

(10/2018 – 01/2019) Praktikum im Recruiting bei Emma, Frankfurt am Main.

Forschungsinteressen

Digitalisierung der Arbeit
Future Work
Digital Detox

Publikationen

2023[ to top ]

Freise, L. R. & Hupe, A. (2023):Transferring Digital Twin Technology on Employee Skills: A Framework to Support Human ResourcesAcademy of Management Annual Meeting (AOM). Boston, Massachusetts, USA.
- [ BibTeX ]
- [ EndNote ]
@inproceedings{ls_leimeister, abstract = {Skill assessment has become increasingly important in recent years. The shortage of skilled workers has demonstrated the need to identify suitable candidates for jobs and to develop existing employees. However, human resources processes rely on resumes, references, or job certifications to assess their employees’ skills. A few years ago, the concept of a digital twin was introduced, which is a digital replica of a physical entity. While using blockchain, the digital twin technology offers tremendous potential for transfer to other contexts. In the context of these considerations, we present a framework that allows the technology of the digital twin to be combined with that of skill assessment to create an enhanced skill profile. With a job market signaling perspective, we integrate knowledge about skills, clarify the opportunities of assessment, and develop a framework for a digital skill twin. In doing so, we argue that the multi-source and multi-method approach of such a digital skill twin leads to increased validity, reliability, and standardization. We thereby contribute to theory and practice by developing a new framework that offers employees to know their strengths and development potential and organizations to assess their employees’ skills.}, address = {Boston, Massachusetts, USA}, author = {Freise, Leonie Rebecca and Hupe, Anna}, booktitle = {Academy of Management Annual Meeting (AOM)}, keywords = {pub_lfr}, title = {Transferring Digital Twin Technology on Employee Skills: A Framework to Support Human Resources}, year = 2023 }
%0 Conference Paper %1 ls_leimeister %A Freise, Leonie Rebecca %A Hupe, Anna %B Academy of Management Annual Meeting (AOM) %C Boston, Massachusetts, USA %D 2023 %T Transferring Digital Twin Technology on Employee Skills: A Framework to Support Human Resources %X Skill assessment has become increasingly important in recent years. The shortage of skilled workers has demonstrated the need to identify suitable candidates for jobs and to develop existing employees. However, human resources processes rely on resumes, references, or job certifications to assess their employees’ skills. A few years ago, the concept of a digital twin was introduced, which is a digital replica of a physical entity. While using blockchain, the digital twin technology offers tremendous potential for transfer to other contexts. In the context of these considerations, we present a framework that allows the technology of the digital twin to be combined with that of skill assessment to create an enhanced skill profile. With a job market signaling perspective, we integrate knowledge about skills, clarify the opportunities of assessment, and develop a framework for a digital skill twin. In doing so, we argue that the multi-source and multi-method approach of such a digital skill twin leads to increased validity, reliability, and standardization. We thereby contribute to theory and practice by developing a new framework that offers employees to know their strengths and development potential and organizations to assess their employees’ skills.

M.Sc. Leonie Freise

Wissenschaftliche Mitarbeiterin

Le­bens­lauf

Publikationen

Lebenslauf