Maximizing Diversity in the Engineering Global Leadership Cultural Families

References

• Arani T, Lotfi V (1989) Three phased approach to final exam scheduling. IIE Trans. 21(1):86–96.Crossref, Google Scholar
• Baker KR, Powell SG (2002) Methods for assigning students to groups: A study of alternative objective functions. J. Oper. Res. Soc. 53(4):397–404.Crossref, Google Scholar
• Bell ST, Villado AJ, Lukasik MA, Belau L, Briggs AL (2011) Getting specific about demographic diversity variable and team performance relationships: A meta-analysis. J. Management 37(3): 709–743.Crossref, Google Scholar
• Bhadury J, Mighty EJ, Damar H (2000) Maximizing workforce diversity in project teams: A network flow approach. Omega 28(2):143–153.Crossref, Google Scholar
• Brainard SG, Carlin L (1998) A six-year longitudinal study of undergraduate women in engineering and science. J. Engrg. Ed. 87(4):369–375.Crossref, Google Scholar
• Cox T (1993) Cultural Diversity in Organizations: Theory, Research, and Practice (Berrett-Koehler Publishers, Inc., San Francisco).Google Scholar
• Edington S (2014) Email to Mark Daskin, August 27.Google Scholar
• Fan Z, Chen Y, Ma J, Zeng S (2010) A hybrid genetic algorithmic approach to the maximally diverse grouping problem. J. Oper. Res. Soc. 62(1):92–99.Crossref, Google Scholar
• Feo TA, Khellaf M (1990) A class of bounded approximation algorithms for graph partitioning. Networks 20(2):181–195.Crossref, Google Scholar
• Feo T, Goldschmidt O, Khellaf M (1992) One-half approximation algorithms for the k-partition problem. Oper. Res. 40(1): S170–S173.Link, Google Scholar
• Gallego M, Laguna M, Marti R, Duarte A (2013) Tabu search with strategic oscillation for the maximally diverse grouping problem. J. Oper. Res. Soc. 64(5):724–734.Crossref, Google Scholar
• Hettich S, Pazzani MJ (2006) Mining for proposal reviewers: Lessons learned at the national science foundation. Proc. 12th ACM SIGKDD Conf. Knowledge Discovery Data Mining (ACM, New York), 862–871.Crossref, Google Scholar
• Ingram S, Parker A (2002) Gender and modes of collaboration in an engineering classroom: A profile of two women on student teams. J. Bus. Tech. Comm. 16(1):33–68.Crossref, Google Scholar
• Kamkwamba W, Mealer B (2010) The Boy Who Harnessed the Wind: Creating Currents of Electricity and Hope (Harper Perennial, New York).Google Scholar
• Kanter (2014) Email to Mark Daskin, August 21.Google Scholar
• Mason AJ (2012) OpenSolver—An open source add-in to solve linear and integer progammes in excel. Klatte D, Lüthi H-J, Schmedders K, eds. Operations Research Proceedings 2011 (Springer, Berlin), 401–406.Crossref, Google Scholar
• Meadows LA, Sekaquaptewa D (2013) The influence of gender stereotypes on role adoption in student teams. Proc. 120th ASEE Annual Conf. Exposition (American Society for Engineering Education, Washington, DC), 1–16.Google Scholar
• Michaelsen LK, Sweet M (2008) The essential elements of team-based learning. New Directions Teaching Learn. 2008(116):7–27.Crossref, Google Scholar
• O’Brien FA, Mingers J (1995) The Equitable Partitioning Problem: A Heuristic Algorithm Applied to the Allocation of University Student Accommodation (Warwick Business School, Research Bureau, Coventry, UK).Google Scholar
• Page SE (2007) The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies (Princeton University Press, Princeton, NJ).Google Scholar
• Palubeckis G, Karciauskas E, Riskus A (2011) Comparative performance of three metaheuristic approaches for the maximally diverse grouping problem. Inform. Tech. Control 40(4):277–285.Crossref, Google Scholar
• Rodriguez FJ, Lozano M, Garcia-Martinez C, Gonzalez-Barrera JD (2013) An artificial bee colony algorithm for the maximally diverse grouping problem. Inform. Sci. 230(1):183–196.Crossref, Google Scholar
• Stanford Graduate School of Business (1999) Diversity and workgroup performance. Accessed March 30, 2014, http://www.gsb.stanford.edu/news/research/diversity-work-group-performance.Google Scholar
• Thomas RR (1991) Beyond Race and Gender: Unleashing the Power of Your Total Work Force by Managing Diversity (American Management Association, New York).Google Scholar
• Weitz RR, Jelassi MT (1992) Assigning students to groups: A multi-criteria decision support system approach. Decision Sci. 23(3):746–757.Crossref, Google Scholar
• Weitz RR, Lakshminarayanan S (1997) An empirical comparison of heuristic and graph theoretic methods for creating maximally diverse groups, VLSI design, and exam scheduling. Omega 25(4):473–482.Crossref, Google Scholar
• Weitz RR, Lakshminarayanan S (1998) An empirical comparison of heuristic methods for creating maximally diverse groups. J. Oper. Res. Soc. 49(6):635–646.Crossref, Google Scholar
• Yeoh HK, Mohamad Nor MI (2009) An algorithm to form balanced and diverse groups of students. Comput. Appl. Engrg. Ed. 19(3):582–590.Crossref, Google Scholar