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People Analytics: Promoting Diversity and Inclusion


Dozent/in Dr. oec. Manuela Morf; Dr. Anna Sender
Veranstaltungsart Seminar
Code HS221308
Semester Herbstsemester 2022
Durchführender Fachbereich Wirtschaftswissenschaften
Studienstufe Master
Termin/e Do, 22.09.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 29.09.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 06.10.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 13.10.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 20.10.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 27.10.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 03.11.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 10.11.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 17.11.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 24.11.2022, 14:15 - 16:00 Uhr, 3.A05
Do, 01.12.2022, 14:15 - 16:00 Uhr, 4.B51
Do, 15.12.2022, 14:15 - 16:00 Uhr, 4.A05
Do, 22.12.2022, 14:15 - 16:00 Uhr, 4.B51
Umfang 1.5 Semesterwochenstunden
Turnus weekly
Inhalt

In this seminar, you will learn how to use people analytics to improve decision making in business. This year we focus on diversity and inclusion. Currently, many organizations strive to foster inclusion and to benefit from diversity. Evidence helps to make better decisions regarding what is effective and efficient. People analytics generates relevant evidence by combining technical knowledge of analytics with a sound understanding of the people side of the business. We will follow a problem-based-learning approach and combine input lectures, in-class discussions and practical project work. Assignments in groups will prepare you for your individual assignment.

For more details about the course please consult the syllabus that will be made available at the homepage of the Center for Human Resource Management (CEHRM) beginning of September 2022.

Lernziele Upon successful completion of this seminar, you will know how to set up a people analytics project. Specifically, you will:
(1) have expertise in this year’s focal area of promoting diversity and inclusion in business;
(2) know how to create a business case for your project and address stakeholder interests;
(3) be able to select useful methods form the methodological toolkit of people analytics (e.g., interviews, surveys, interventions and experiments);
(4) be able to translate evidence into actionable and relevant recommendations.
Voraussetzungen There are no required prerequisites. However, the successful completion of “Strategic Human Resource Management” is recommended. Furthermore, the course is part of the master’s curricula “Economics and Management, core elective (without specialization)” and “Market-Oriented Management.” Students from all other academic programs are recommended to check with their delegate/examination board to see whether credits from this course are accepted.
Sprache Englisch
Begrenzung Max. 16 places available
Anmeldung

To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from September 5 to September 30, 2022. The students themselves are responsible for checking the creditability of the course to their course of study.

Direct link to OLAT course:

https://lms.uzh.ch/url/RepositoryEntry/17250386155

As this is a seminar, the binding UniPortal registration will be brought forward. It takes place at the same time as the OLAT registration (until September 30, 2022). The UniPortal registration at the beginning of the semester is mandatory for this seminar so that the credits can be credited. It is no longer possible to cancel your registration after the end of the second week of the semester.

Prüfung ***IMPORTANT*** In order to acquire credits, registration via the Uni Portal within 05.09. - 30.09.2022 is ESSENTIALLY REQUIRED. Further information on registration for the examination: www.unilu.ch/wf/pruefungen
Deadlines for home assignments will be communicated in the course.
Abschlussform / Credits Home assignments in groups (graded: failed/passed) as preparation for an individual home assignment (graded: 1.0 - 6.0:, scope: 4-8 pages) / 3 Credits
Hinweise The number of participants is restricted to sixteen. If you are interested in participating, please e-mail Dr. Anna Sender (anna.sender@unilu.ch). Please indicate:
(1) your name, study major, number of semesters and matriculation number;
(2) your knowledge in human resource management, business analytics and/or related fields;
(3) why are you interested in participating (short motivation statement).
Please make sure that you have provided this information before enrolling in the OLAT course.
Hörer-/innen Nein
Kontakt manuela.morf@unilu.ch / anna.sender@unilu.ch
Anzahl Anmeldungen 16 von maximal 16
Literatur Relevant readings will be made available via Olat.