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Help to find the needle in a haystack: integrating recommender systems in an IT supported staff recruitment system

Published:28 May 2009Publication History

ABSTRACT

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.

References

  1. Acharya, P. and Mahanty, B. (2008), Manpower shortage crisis in Indian information technology industry, International Journal of Technology Management, Volume 38, Number 3, pp. 235--247.Google ScholarGoogle Scholar
  2. Agarwal, R., and Ferratt, T.W. "Recruiting, Retaining and Developing IT Professionals: An Empirically Derived Taxonomy of Human Resources Practices," 1998 ACM SIGMIS CPR, Agarwal, R., New York, 1998, pp. 292--302. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Agarwal, R., and Ferratt, T.W. "Enduring Practices for Managing Information Technology Professionals," Communications of the ACM (44:7) 2002, pp 58--64.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Albert, G. Betriebliche Personalwirtschaft Kiehl, Ludwigshafen a.R., 1998.Google ScholarGoogle Scholar
  5. Autor, D.H. "Wiring the labor market," Journal of Economic Perspectives (15:1 (winter)) 2001, pp 25--40.Google ScholarGoogle Scholar
  6. Barber, A.E. Recruiting employees Thousand Oaks, CA: Sage Publications, 1998.Google ScholarGoogle Scholar
  7. Beck, R., and Weitzel, T. "Some Economics of Vertical Standards: Integrating SMEs in EDI Supply Chains," in: Electronic Markets, 2005, pp. 313--322.Google ScholarGoogle ScholarCross RefCross Ref
  8. Breaugh, J.A., and Starke, M. "Research on Employee Recruitment: So Many Studies, So Many Remaining Questions," Journal of Management (26:3) 2000, pp 405--434.Google ScholarGoogle ScholarCross RefCross Ref
  9. Cappelli, P. "A Market-Driven Approach to Retaining Talent", Harvard Business Review, vol. 78, No. 1, 2000, pp.103--111.Google ScholarGoogle Scholar
  10. Carroll, M., Marchington, M., Earnshaw, J., and Taylor, S. "Recruitment in small firms: processes, methods and problems," Employee Relations (21:3) 1999, pp 236--250.Google ScholarGoogle ScholarCross RefCross Ref
  11. Chambers, E.G., Foulon, F., Handfield-Jones, H., Hankin, S.M., and Michaels, E.G. "The War for Talent," The McKinsey Quarterly (1) 1998.Google ScholarGoogle Scholar
  12. DeSanctis, G. "Human Resource Information Systems: A Current Assessment", MIS Quarterly, March, Vol. 10 Issue 1, 1986, pp. 15--27.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Eckhardt, A., Laumer, S. and Weitzel, T., "Extending the Architecture for a Next-Generation Holistic E Recruiting System" in: Proceedings of the 2008 International Conference on Information Resources Management (Conf--IRM), Niagara Falls, Ontario, Canada, 2008.Google ScholarGoogle Scholar
  14. Eckhardt, A., Weitzel, T., Koenig, W. and Buschbacher, J. "How to Convince People who don't Like IT to Use IT -- A Case Study On eRecruiting", in: 13th Americas Conference on Information Systems (AMCIS); Keystone, USA, 2007.Google ScholarGoogle Scholar
  15. Faerber, F., Keim, T., and Weitzel, T. "An Automated Recommendation Approach to Personnel Selection," 2003 Americas Conference on Information Systems, Tampa, 2003.Google ScholarGoogle Scholar
  16. Ferratt, T.W., Agarwal, R., Moore, J.E., and Brown, C.V. "Observations from 'the front': IT Executives on practices to recruit and retain information technology professionals," SIGCPR '99, New Orleans, LA, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Frank, F.D., Finnegan, R.P. and Taylor, C.R. (2004), The race for talent: retaining and engaging workers in the 21st century", Human Resource Planning, Vol.27, No. 3, pp 12--25.Google ScholarGoogle Scholar
  18. Gillian, P. "Tame the Testless Computer Professional," HR Magazine (39:11) 1994, pp 142--144.Google ScholarGoogle Scholar
  19. Hevner, A.R., March, S.T., Park, J., and Ram, S. "Design Science in Information Systems Research," MIS Quarterly (28:1), 2004/03 2004, pp 75--105. Google ScholarGoogle ScholarCross RefCross Ref
  20. Jackson, S.E. "The consequences of diversity on multidisciplinary work teams," in: Handbook of workgroup psychology, M.A. West (ed.), John Wiley & Sons, Sussex, 1996.Google ScholarGoogle Scholar
  21. Keen, P.G.W. Shaping the Future: Business Design through Information Technology Harvard Business School Press, 1991, p. 264. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Keim, T. "Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources", in: Proceedings of the 40th Hawaiian International Conference on System Sciences (HICSS--40); Hilton Waikoloa Village, Big Island, Hawaii, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Keim, T., Malinowski, J., Heinrich, G. and Wendt, O. "Personalizing the Search for Persons: A Recommender-based Approach", in: Proceedings of The First International Workshop on Web Personalization, Recommender Systems and Intelligent User Interfaces, Reading, UK, 2005.Google ScholarGoogle Scholar
  24. Keim, T., and Weitzel, T. "Strategies for Hiring IT Professionals: An Empirical Analysis of Employer and Job Seeker Behavior on the IT Labor Market," in: 12th Americas Conference on Information Systems, Acapulco, Mexico, 2006.Google ScholarGoogle Scholar
  25. King, J. "IT Labor Emergency Promotes Feds to Study, Fix Shortage," Computerworld), October, 6th, 1997.Google ScholarGoogle Scholar
  26. Laumer, S., Eckhardt, A. and Weitzel, T. "Recruiting IT Professionals in a Virtual World", in: Proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS 2008), Suzhou, China, 2008.Google ScholarGoogle Scholar
  27. Lee, I. "An integrated economic decision and simulation methodology for e-recruiting process redesign," International Journal of Simulation and Process Modeling (1:3/4) 2005, pp 179--188.Google ScholarGoogle Scholar
  28. Lee, I. "The Architecture for a Next-Generation Holistic E-Recruiting System," Communications of the ACM (50:7) 2007, pp 81--85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Luftman, J., Kempaiah, R., and Nash, E. "Key Issues for IT Executives 2005," MIS Quarterly Executive (5:2) 2006, pp 81--99.Google ScholarGoogle Scholar
  30. Malinowski, J., Weitzel, T., and Keim, T. "Decision support for team staffing: An automated relational recommendation approach," Decision Support Systems, 45 (3), 2008, pp. 429--447. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Malinowski, J., Wendt, O., Keim, T., and Weitzel, T. "Matching People and Jobs: A Bilateral Recommendation Approach," 39th Hawaii International Conference on System Sciences, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Melville, P, Mooney, R.J., and Nagarajan, R. "Content-boosted collaborative filtering for improved recommendations", in: Proceedings of the 18th National Conference on Artificial Intelligence, Edmonton, Alberta, Canada, 2002, pp. 187--192. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Resnick, P., and Varian, H. "Recommender Systems," Communications of the ACM (30:3) 1997, pp 56--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Riemenschneider, C.K., Moore, J.E., and Armstrong, D. "Call for papers -- Special Issue on Meeting the Renewed Demand for IT Workers, European Journal of Information Systems (EJIS), available at http://www.palgrave-journals.com/ejis/CFP-EJIS-ITWorkers.pdf, last call 06/05/2008," 2008.Google ScholarGoogle Scholar
  35. Rifkin, G. "Recruiting in MIS: Facing Up to Hire Stakes," Computerworld (XXIII:6), February, 13, 1989 1989.Google ScholarGoogle Scholar
  36. Schafer, J.B., Konstan, J. and Riedl J. "Recommender Systems in E-Commerce", in: Proceedings of the First ACM Conference on Electronic Commerce (EC 1999), Denver, 1999, pp. 158--166. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Schafer, J.B., Karypsis, J. and Riedl, J. "E-Commerce Recommendation Applications", in: Data Mining and Knowledge Discovery, Vol. 5, No. 1--2, pp. 115--153, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Schneider, B. Personalbeschaffung Peter Lang Europaeischer Verlag der Wissenschaften, Frankfurt a. Main, 1995.Google ScholarGoogle Scholar
  39. Smits, S., Mclean, E.R., and Tanner, J.R. "Managing high-achieving information systems professionals," Journal of Management Information Systems (9:4) 1993, pp 103-120. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Tomeski, E.A. and Lazarus, H. "Computerized Information Systems in Personnel -- A Comparative Analysis of the State of the Art in Government and Business", Academy of Management Journal, Vol. 17 Issue 1, 1974, pp 168--172.Google ScholarGoogle Scholar
  41. Von Stetten, A., Muenstermann, B., Eckhardt, A. and Laumer, S. "Towards an Understanding of the Business Value of Business Process Standardization -- A Case Study Approach", in: Proceedings of the 14th Americas Conference on Information Systems (AMCIS), Toronto, Canada, 2008.Google ScholarGoogle Scholar
  42. Weiss, E. A. "Self-Assessment", Communications of the ACM, Vol. 33, No. 11, 1990, pp. 110--132. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGMIS CPR '09: Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
      May 2009
      242 pages
      ISBN:9781605584270
      DOI:10.1145/1542130

      Copyright © 2009 ACM

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      Publication History

      • Published: 28 May 2009

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