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Decision Making in a Multi-Cultural Context

CELDi Conference, Louisville, KY, 8-9 November 2005. Decision Making in a Multi-Cultural Context. The Human-Computer Interaction (HCI) Lab Industrial Engineering Department University of Arkansas, Fayetteville. Problem Statement. Multi-culture & multi-service teams Team decision making

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Decision Making in a Multi-Cultural Context

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  1. CELDi Conference, Louisville, KY, 8-9 November 2005 Decision Making in aMulti-Cultural Context The Human-Computer Interaction (HCI) Lab Industrial Engineering Department University of Arkansas, Fayetteville

  2. Problem Statement • Multi-culture & multi-service teams • Team decision making • Differences in status, authority, culture, & DM behaviors Heterogeneous team • Common cognition among team members • The degree of common understanding, agreement, or congruence • Team communication Team cognition • How to support group/team process with groupware systems • Social and technology determinants • Effectiveness of group support technologies Team support

  3. Research Goals • To identify key issues & barriers regarding logistics DM in multi-cultural contexts • Team performance • Team cognition • To investigate cultural & environmental determinants • To conduct a series of empirical experiments Effective multi-cultural logistics teams

  4. Experimental Tasks • Three types of logistics problems were chosen, each having two scenarios: • Distribution • Transportation • Warehouse • Criteria used to select these games were: • Difficulty • Flexibility • Availability • GSTC Method Participants • 80 students fromdomestic andforeign countries • United Statesand their allies are represented • No previous knowledge of logistic concepts

  5. Task: Distribution Entities • Supplier • Central Warehouse • Retailer Costs Report • Cost of Goods Sold • Order Cost • Holding Cost Other Considerations • Fill Rate • Backorders

  6. First leg of the Trip Quantity loaded for current trip and total route mileage Capacity of the currently selected Truck Brings up “Edit Shipment” window where you can decrease quantity as is the case now Task: Transportation Entities • Central Warehouse • City’s Costs Report • Trucks Used • Total Mileage • Total Driver Days • Avg. Customer Wait • Max. Customer Wait

  7. West Virginia and Ohio is assigned to be supplied by Nashville (CW). (Selected) Nashville (CW): These are the factors to consider while assigning warehouses. Individual city demands listed near the top and total demands for this specific warehouse on the bottom. Georgia (LW) is responsible for supplying Carolina and Florida. (Not selected) Task: Warehouse Entities • Central Warehouse • Local Warehouses • Sales Regions Design Process • Select Warehouses • Assign Sales Regions • Route Design • Warehouse Design Rating • Profit • Max. Customer Wait

  8. Independent Variables Culture Group • Homogeneous: Same nationalities • Heterogeneous: Dissimilar nationalities Communication Mode • Computer-Mediated Communication (CMC) • Face-To-Face (FTF) Task Characteristic • Dynamic: Plans must adapt • Routine: One plan Time Span • Time Span 1: First Impressions • Time Span 2: Acquaintances • Time Span 3: Colleagues

  9. Dependent Variables:Team Performance • Net Income • Customer Wait Time • Task Time Variables used in calculating final score. Average Customer Wait and Maximum Customer Wait times are weighted to into the final score. Final Score of all Performance Measures added together.

  10. Information Exchange Quality of Information Team Coordination Feedback Team Cooperation Team Spirit Team Mental Model Dependent Variables:Team Cognition • Team Process • Communication • Mental Models

  11. Experiment Procedure

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