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Using Geographical Information Systems for Decision Making: Extending Cognitive Fit Theory to Map-Based Presentations

Author

Listed:
  • Alan R. Dennis

    (Department of Management, Terry College of Business, University of Georgia, Athens, Georgia 30602)

  • Traci A. Carte

    (Department of Management, Terry College of Business, University of Georgia, Athens, Georgia 30602)

Abstract

As the use of Geographical Information Systems (GIS) by business becomes more common, we need to better understand when these systems are and are not useful. This research uses a laboratory experiment to extend cognitive fit theory (Vessey 1991) to geographic tasks performed using either map-based presentations or tabular presentations. The experiment found that decision makers using a map-based presentation made faster and more accurate decisions when working on a geographic task in which there were adjacency relationships among the geographic areas. Decision makers using a map-based presentation made faster but less accurate decisions when working on a geographic task in which there were no relationships among the geographic areas.

Suggested Citation

  • Alan R. Dennis & Traci A. Carte, 1998. "Using Geographical Information Systems for Decision Making: Extending Cognitive Fit Theory to Map-Based Presentations," Information Systems Research, INFORMS, vol. 9(2), pages 194-203, June.
  • Handle: RePEc:inm:orisre:v:9:y:1998:i:2:p:194-203
    DOI: 10.1287/isre.9.2.194
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    References listed on IDEAS

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    1. Sirkka L. Jarvenpaa, 1989. "The Effect of Task Demands and Graphical Format on Information Processing Strategies," Management Science, INFORMS, vol. 35(3), pages 285-303, March.
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    Cited by:

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    2. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    3. Johannes Gettinger & Sabine T. Koeszegi, 2014. "Far from Eye, Far from Heart: Analysis of Graphical Decision Aids in Electronic Negotiation Support," Group Decision and Negotiation, Springer, vol. 23(4), pages 787-817, July.
    4. Heng Tang & Chang Boon Patrick Lee & Kwee Keong Choong, 2017. "Consumer decision support systems for novice buyers – a design science approach," Information Systems Frontiers, Springer, vol. 19(4), pages 881-897, August.
    5. Heng Tang & Chang Boon Patrick Lee & Kwee Keong Choong, 0. "Consumer decision support systems for novice buyers – a design science approach," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    6. Yu Zhang & Bingjia Shao, 2019. "The Effectiveness of Customer Participation and Affective Misforecasting in Online Post-Recovery Satisfaction," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    7. Michael A. Erskine & Dawn G. Gregg & Jahangir Karimi & Judy E. Scott, 2019. "Individual Decision-Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability and Perceived Task-Technology Fit Perspective," Information Systems Frontiers, Springer, vol. 21(6), pages 1369-1384, December.
    8. Dilla, William N. & Raschke, Robyn L., 2015. "Data visualization for fraud detection: Practice implications and a call for future research," International Journal of Accounting Information Systems, Elsevier, vol. 16(C), pages 1-22.
    9. Tim-Benjamin Lembcke & Mathias Willnat & Henrik Lechte & Maike Greve & Julia Heinsohn & Alfred Benedikt Brendel, 2021. "Mobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    10. Barry A. Cumbie & Chetan S. Sankar, 2012. "Choice of governance mechanisms to promote information sharing via boundary objects in the disaster recovery process," Information Systems Frontiers, Springer, vol. 14(5), pages 1079-1094, December.
    11. Dunn, Cheryl L. & Gerard, Gregory J. & Grabski, Severin V., 2017. "The combined effects of user schemas and degree of cognitive fit on data retrieval performance," International Journal of Accounting Information Systems, Elsevier, vol. 26(C), pages 46-67.
    12. Habibah Hj. Lateh & Abouzed Salah Berrim, 2014. "Determining the Factors Affecting the Intention of Using (GNIS) among the Libyan Government Officers," International Journal of Learning and Development, Macrothink Institute, vol. 4(2), pages 97-110, June.
    13. Jeffry Will & Sharon Cobb & Timothy Cheney, 2008. "Florida’s Changing Rainbow: Identifying Emerging Markets Through the Examination of Racial Composition and Demographic Change in Florida," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(5), pages 497-514, October.

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