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The Staffing Process in a High-Technology Environment

  • Jordi Olivella NadalEmail author
  • Gema Calleja Sanz
Chapter
Part of the Management and Industrial Engineering book series (MINEN)

Abstract

Technology has been increasingly important for any kind of companies and has a strong influence on the activity they develop. High-technology companies are based on the knowledge and development of edge technologies. By its hand, staffing is the process of acquiring, deploying, and retaining a company workforce. Staffing includes (but is not limited to) recruiting, hiring, transfers, promotions, redeployment, layoffs, retirements, terminations, and retention. Staffing process in high-technology is addressed.

References

  1. 1.
    Bechet, T. P. (2002). Strategic staffing: a practical toolkit for workforce planning. New York: Amacom.Google Scholar
  2. 2.
    Lepak, D. P., & Snell, S. A. (2003). Managing the human resource architecture for knowledge-based competition. In S. E. Jackson, A. DeNisi, & M. A. Hitt (Eds.), Managing knowledge for sustained competitive advantage: designing strategies for effective human resource management (p. 333). NJ: Jossey-Bass.Google Scholar
  3. 3.
    Bo, Z. & Xiaohui, P. (2011). Compensation system based on psychological contract for knowledge staff in high technology enterprise. International Conference on E-Business and E-Government (ICEE), IEEE 2011.Google Scholar
  4. 4.
    Brantley, M. E., & Coleman, C. Y. (2001). Winning the technology Talent War: a manager’s guide to recruiting and retaining tech workers in a dot-com world. New York: McGraw-Hill.Google Scholar
  5. 5.
    Pulakos, E. D., Dorsey, D. W., & Borman, W. C. (2003). Hiring for knowledge-based competition. In S. E. Jackson, A. DeNisi, & M. A. Hitt (Eds.), Managing knowledge for sustained competitive advantage: designing strategies for effective human resource management (Vol. 21, p. 155). San Francisco: Jossey-Bass.Google Scholar
  6. 6.
    Dockel, A., Basson, J. S., & Coetzee, M. (2006). The effect of retention factors on organisational commitment: An investigation of high technology employees. SA Journal of Human Resource Management, 4(2), 20–28.CrossRefGoogle Scholar
  7. 7.
    Erickson, R., Schwartz, J., & Ensell, J. (2012). Talent paradox. Critical skills, recession and the illusion of plenitude. Deloitte Review, 12, 78–91.Google Scholar
  8. 8.
    Davis-Blake, A. & Hui, P. P. (2003). Contracting talent for knowledge-based competition. In S. E. Jackson, A. DeNisi & M. A. Hitt (Eds.), Managing knowledge for sustained competitive advantage (pp. 178–206).Google Scholar
  9. 9.
    Jae, C., Nazareth, D. L., & Jain, H. K. (2012). Information technology skill management strategies for implementing new technologies: A case of service-oriented architecture. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 42(4), 838–853.CrossRefGoogle Scholar
  10. 10.
    Huang, C.-Y., Wang, C.-W., Tzeng, G.-H. & Lin, Y.-F. (2011). Defining the R&D expatriate assignment strategies of globalized high technology enterprises by hybrid MCDM models. In Proceedings of Technology Management in the Energy Smart World (PICMET’11), IEEE 2011.Google Scholar
  11. 11.
    Haruna, K. (2001). Technology policy staff; key factors in implementation. In IEEE International Conference on Systems, Man, and Cybernetics, IEEE 2001.Google Scholar
  12. 12.
    McComb, S. A., Green, S. G., & Dale Compton, W. (2007). Team flexibility’s relationship to staffing and performance in complex projects: An empirical analysis. Journal of Engineering and Technology Management, 24(4), 293–313.CrossRefGoogle Scholar
  13. 13.
    Hoyt, J., & Matuszek, T. (2001). Testing the contribution of multi-skilled employees to the financial performance of high-tech organizations. The Journal of High Technology Management Research, 12(2), 167–181.CrossRefGoogle Scholar
  14. 14.
    Fowler, S. W., King, A. W., Marsh, S. J., & Victor, B. (2000). Beyond products: New strategic imperatives for developing competencies in dynamic environments. Journal of Engineering and Technology Management, 17(3–4), 357–377.CrossRefGoogle Scholar
  15. 15.
    Carayannis, E. G. (1998). The strategic management of technological learning in project/program management: The role of extranets, intranets and intelligent agents in knowledge generation, diffusion, and leveraging. Technovation, 18(11), 697–703.CrossRefGoogle Scholar
  16. 16.
    Chen, S. (2005). Task partitioning in new product development teams: A knowledge and learning perspective. Journal of Engineering and Technology Management, 22(4), 291–314.CrossRefGoogle Scholar
  17. 17.
    Meyers, P. W., & Wilemon, D. (1989). Learning in new technology development teams. Journal of Product Innovation Management, 6(2), 79–88.CrossRefGoogle Scholar
  18. 18.
    Boudreau, J. W. (2003). Strategic knowledge measurement and management. In S. E. Jackson, A. DeNisi & M. A. Hitt (Eds.), Managing knowledge for sustained competitive advantage (pp. 360–396).Google Scholar
  19. 19.
    Dixit, K., Goyal, M., Gupta, P., Kambhatla, N., Lotlikar, R. M., Majumdar, D., et al. (2009). Effective decision support for workforce deployment service systems. In IEEE International Conference on Services Computing (SCC’09), IEEE 2009.Google Scholar
  20. 20.
    Silverston, L., Inmon, W. H., & Graziano, K. (1997). The data model resource book: A library of logical data models and data warehouse designs. NJ: Wiley.Google Scholar
  21. 21.
    Chenthamarakshan, V., Dixit. K., Gattani, M., Goyal, M., Gupta, P., Kambhatla, N., Lotlikar, R., Majumdar, D., Parija, G. R. & Roy, S. (2010). Effective decision support systems for workforce deployment. IBM Journal of Research and Development 54(6), 5:1–5:15.Google Scholar
  22. 22.
    Bechet, T. P. (2000). Developing staffing strategies that work: Implementing pragmatic, nontraditional approaches. Public Personnel Management, 29(4), 465–478.Google Scholar
  23. 23.
    Gutjahr, W. J., Katzensteiner, S., Reiter, P., Stummer, C., & Denk, M. (2008). Competence-driven project portfolio selection, scheduling and staff assignment. Central European Journal of Operations Research, 16(3), 281–306.MathSciNetCrossRefzbMATHGoogle Scholar
  24. 24.
    Filhol, A., Marçal, A., Costa, G., & Pinheiro, P. (2007). Staff scheduling optimization in information technology projects. In International Conference on Service Systems and Service Management, IEEE 2007.Google Scholar
  25. 25.
    Richter, Y., Naveh, Y., Gresh, D. L., & Connors, D. P. (2007). Optimatch: Applying constraint programming to workforce management of highly skilled employees. In IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI 2007).Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of Industrial and Control Engineering and Management DepartmentUniversitat Politècnica de CatalunyaBarcelonaSpain

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