Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4046
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Adaptive conjoint analysis of professionals’ job preferences
Authors: Scheidegger, Nicoline
Müller, Andrea
DOI: 10.21256/zhaw-4046
10.5281/zenodo.1132182
Published in: World Academy of Science, Engineering and Technology
Volume(Issue): 11
Issue: 9
Page(s): 2264
Pages to: 2270
Conference details: ICOBHRM 2017 : 19th International Conference on Organization Behavior and Human Resource Management, Singapur, 11-12 September 2017
Issue Date: 2017
Publisher / Ed. Institution: World Academy of Science, Engineering and Technology
ISSN: 2010-376X
Language: English
Subjects: Conjoint analysis; Employer attractiveness; Job preference; Personnel marketing
Subject (DDC): 331: Labor economics
658.3: Human resource management
Abstract: Job preferences are a well-developed research field. Many studies analyze the preferences using simple ratings with a sample of university graduates. The current study analyzes the preferences with a mixed method approach of a qualitative preliminary study and adaptive conjoint-analysis. Preconditions of accepting job offers are clarified for professionals in the industrial sector. It could be shown that, e.g. wages above the average are critical and that career opportunities must be seen broader than merely a focus on formal personnel development programs. The results suggest that, to be effective with their recruitment efforts, employers must take into account key desirable job attributes of their target group.
URI: https://digitalcollection.zhaw.ch/handle/11475/12964
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Management and Law
Organisational Unit: Institute for Organizational Viability (IOV)
Appears in collections:Publikationen School of Management and Law

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Scheidegger, N., & Müller, A. (2017). Adaptive conjoint analysis of professionals’ job preferences [Conference paper]. World Academy of Science, Engineering and Technology, 11(9), 2264–2270. https://doi.org/10.21256/zhaw-4046
Scheidegger, N. and Müller, A. (2017) ‘Adaptive conjoint analysis of professionals’ job preferences’, in World Academy of Science, Engineering and Technology. World Academy of Science, Engineering and Technology, pp. 2264–2270. Available at: https://doi.org/10.21256/zhaw-4046.
N. Scheidegger and A. Müller, “Adaptive conjoint analysis of professionals’ job preferences,” in World Academy of Science, Engineering and Technology, 2017, vol. 11, no. 9, pp. 2264–2270. doi: 10.21256/zhaw-4046.
SCHEIDEGGER, Nicoline und Andrea MÜLLER, 2017. Adaptive conjoint analysis of professionals’ job preferences. In: World Academy of Science, Engineering and Technology. Conference paper. World Academy of Science, Engineering and Technology. 2017. S. 2264–2270
Scheidegger, Nicoline, and Andrea Müller. 2017. “Adaptive Conjoint Analysis of Professionals’ Job Preferences.” Conference paper. In World Academy of Science, Engineering and Technology, 11:2264–70. World Academy of Science, Engineering and Technology. https://doi.org/10.21256/zhaw-4046.
Scheidegger, Nicoline, and Andrea Müller. “Adaptive Conjoint Analysis of Professionals’ Job Preferences.” World Academy of Science, Engineering and Technology, vol. 11, no. 9, World Academy of Science, Engineering and Technology, 2017, pp. 2264–70, https://doi.org/10.21256/zhaw-4046.


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