Job Seekers' Acceptance of Job Recommender Systems: Results of an Empirical Study

Faculty/Professorship: Information Systems and Services  
Author(s): Laumer, Sven ; Gubler, Fabian; Maier, Christian ; Weitzel, Tim  
Title of the compilation: Proceedings of the 51st Hawaii International Conference on System Sciences 2018
Corporate Body: Hawaii International Conference on System Sciences (HICSS), 51st, 2018, Waikoloa Hawaii
University of Hawai'i at Manoa
Year of publication: 2018
Pages: 3914-3923
ISBN: 978-0-9981331-1-9
Language(s): English
DOI: 10.24251/HICSS.2018.491
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.
Peer Reviewed: Ja
International Distribution: Ja
Type: Conferenceobject
Year of publication: 7. January 2019