Job seekers' acceptance of job recommender systems: Results of an empirical study

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Laumer S, Gubler F, Maier C, Weitzel T
Editor(s): Hawaii International Conference on System Sciences (HICSS)
Publication year: 2018
Title of series: Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS)
Conference Proceedings Title: Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS)
ISBN: 978-0-9981331-1-9
Language: English


Abstract

Based on UTAUT2 and the importance of trust to explain user behavior in relation to recommender systems, we focus on job recommender systems by developing and validating a job recommender system acceptance model. The results of our empirical, survey-based study with 440 job seekers indicate that beside performance expectancy and habit, trust is among the three most important determinants and it is especially relevant for women, passive job seekers and those without experience in using job recommender systems. The paper extends general trust and recommender system research by revealing three moderators for the trust and intention relationship. It contextualizes the UTAUT2 by incorporating trust as an antecedent of a consumer's intention to use and by revealing three moderating effects for this relationship. Hence, it is the basis for further studies investigating the acceptance of job recommender system, which has rather been neglected by prior research.


FAU Authors / FAU Editors

Laumer, Sven Prof. Dr.
Schöller Endowed Chair for Information Systems (Digitalization in Business and Society)


External institutions with authors

Otto-Friedrich-Universität Bamberg


Research Fields

Digital Business (E-Services, AI and Chatbots)
Schöller Endowed Chair for Information Systems (Digitalization in Business and Society)
Digital Workforce (Digital Human Resources Management)
Schöller Endowed Chair for Information Systems (Digitalization in Business and Society)
Digitalization of the Individual (Technology Acceptance and Use)
Schöller Endowed Chair for Information Systems (Digitalization in Business and Society)
Change in the World of Work
Research focus area of a faculty: Fachbereich Wirtschaftswissenschaften
Digitization and Innovation
Research focus area of a faculty: Fachbereich Wirtschaftswissenschaften


How to cite

APA:
Laumer, S., Gubler, F., Maier, C., & Weitzel, T. (2018). Job seekers' acceptance of job recommender systems: Results of an empirical study. In Hawaii International Conference on System Sciences (HICSS) (Eds.), Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS). Waikoloa, HI, USA, US.

MLA:
Laumer, Sven, et al. "Job seekers' acceptance of job recommender systems: Results of an empirical study." Proceedings of the Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), Waikoloa, HI, USA Ed. Hawaii International Conference on System Sciences (HICSS), 2018.

BibTeX: 

Last updated on 2019-05-08 at 09:40