The XXII self-assessment: the ethics of computing
Communications of the ACM
Shaping the future: business design through information technology
Shaping the future: business design through information technology
Communications of the ACM
SIGCPR '98 Proceedings of the 1998 ACM SIGCPR conference on Computer personnel research
SIGCPR '99 Proceedings of the 1999 ACM SIGCPR conference on Computer personnel research
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Matching People and Jobs: A Bilateral Recommendation Approach
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
Managing high-achieving information systems professionals
Journal of Management Information Systems - Special section: Research in integrating learning capabilities into information systems
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
An architecture for a next-generation holistic e-recruiting system
Communications of the ACM - Creating a science of games
Decision support for team staffing: An automated relational recommendation approach
Decision Support Systems
Design science in information systems research
MIS Quarterly
PROSPECT: a system for screening candidates for recruitment
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Drivers, challenges and consequences of E-recruiting: a literature review
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Efficient multifaceted screening of job applicants
Proceedings of the 16th International Conference on Extending Database Technology
International Journal of Metadata, Semantics and Ontologies
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Despite the benefits of information technology for corporations in staff recruitment (reduced time and costs per hire) the increased use also led to glut of applications especially in major enterprises. Therefore the companies forced to find the best candidate in times of a "War for Talent" need help to find this needle in a haystack. This help could be provided by recommender systems predominately used in e-commerce to recommend products or services to customers purchasing specific products. Recommender systems could assist the recruiter to find the adequate candidate within the applicant's database. In order to support this search and selection process we conduct a design science approach to integrate recommender systems in a holistic e-recruiting architecture and therewith provide a complete and new solution for IT support in staff recruitment.