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Visualization of Network Concepts: The Impact of Working Memory Capacity Differences

Author

Listed:
  • Bin Zhu

    (Information Systems Department, School of Management, Boston University, Boston, Massachusetts 02215)

  • Stephanie A. Watts

    (Information Systems Department, School of Management, Boston University, Boston, Massachusetts 02215)

Abstract

As networks of all forms become ubiquitous, the network-based information they generate is increasingly being used in a wide variety of analysis tasks. In organizations, social network analysis techniques are being applied to a number of domains, particularly the understanding of knowledge stocks and flows. Because this information is generated from large data sets, computerized visualizations of it are very helpful for accomplishing these complex tasks. This paper presents a model for evaluating the effectiveness of network visualizations based on theories of cognitive fit, working memory capacity, and information load. The model was empirically tested in two experiments using two types of data visualizations from two different social networks. Results support the theoretical model, illustrating that variations in cognitive fit and working memory interact. Findings suggest that visualizations can enable superior outcomes when they are designed to support this interaction.

Suggested Citation

  • Bin Zhu & Stephanie A. Watts, 2010. "Visualization of Network Concepts: The Impact of Working Memory Capacity Differences," Information Systems Research, INFORMS, vol. 21(2), pages 327-344, June.
    • Handle: RePEc:inm:orisre:v:21:y:2010:i:2:p:327-344
    DOI: 10.1287/isre.1080.0215
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    References listed on IDEAS

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    1. Steven J. Luck & Edward K. Vogel, 1997. "The capacity of visual working memory for features and conjunctions," Nature, Nature, vol. 390(6657), pages 279-281, November.
    2. Weiyin Hong & James Y. L. Thong & Kar Yan Tam, 2004. "Does Animation Attract Online Users’ Attention? The Effects of Flash on Information Search Performance and Perceptions," Information Systems Research, INFORMS, vol. 15(1), pages 60-86, March.
    3. Sprenger, Amber & Dougherty, Michael R., 2006. "Differences between probability and frequency judgments: The role of individual differences in working memory capacity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 99(2), pages 202-211, March.
    4. Vijay Khatri & Iris Vessey & V. Ramesh & Paul Clay & Sung-Jin Park, 2006. "Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge," Information Systems Research, INFORMS, vol. 17(1), pages 81-99, March.
    5. Ajay Mehra & Andrea L. Dixon & Daniel J. Brass & Bruce Robertson, 2006. "The Social Network Ties of Group Leaders: Implications for Group Performance and Leader Reputation," Organization Science, INFORMS, vol. 17(1), pages 64-79, February.
    6. Jinwoo Kim & Jungpil Hahn & Hyoungmee Hahn, 2000. "How Do We Understand a System with (So) Many Diagrams? Cognitive Integration Processes in Diagrammatic Reasoning," Information Systems Research, INFORMS, vol. 11(3), pages 284-303, September.
    7. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
    8. Radhika Santhanam & Sharath Sasidharan & Jane Webster, 2008. "Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training," Information Systems Research, INFORMS, vol. 19(1), pages 26-47, March.
    9. Iris Vessey & Dennis Galletta, 1991. "Cognitive Fit: An Empirical Study of Information Acquisition," Information Systems Research, INFORMS, vol. 2(1), pages 63-84, March.
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    Cited by:

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    2. Rahul Basole & Elliot Bendoly & Aravind Chandrasekaran & Kevin Linderman, 2022. "Visualization in Operations Management Research," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 172-187, October.
    3. Ayşegül Engin, 2021. "The cognitive ability and working memory framework: Interpreting cognitive reflection test results in the domain of the cognitive experiential theory," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 227-245, March.
    4. Yu, Yan & Hao, Jin-Xing & Dong, Xiao-Ying & Khalifa, Mohamed, 2013. "A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams," International Journal of Information Management, Elsevier, vol. 33(5), pages 780-790.
    5. Dong Kong & Yanli Wang & Kai Sun, 2022. "Design of Care Decision Support System Based on Home-Based Behavior of Elderly: A Design Science Study," SAGE Open, , vol. 12(1), pages 21582440221, March.

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