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Influential factors in decision support capabilities of a mobile-enabled interactive analytical dashboard system

Author

Listed:
  • Bih-Ru Lea
  • Wen-Bin Yu
  • Hokey Min

Abstract

With the growing complexity of the decision-making process in business applications, a mobile-enabled analytical dashboard system becomes a popular visualisation tool to harness the power of big data for timely and more informed decisions. To maximise the usefulness of an analytical dashboard system as a decision support tool, this paper identifies a host of factors influencing the decision support capabilities including the user's device type, IT knowledge, daily mobile usage, country of origin, gender, number of computer classes taken, and year in school. The results indicate that a user's device type and computer knowledge significantly influence both the efficiency and effectiveness of an interactive analytical dashboard system to enhance its decision support capabilities. The user's country of origin also influences the effectiveness of the dashboard's decision support capabilities.

Suggested Citation

  • Bih-Ru Lea & Wen-Bin Yu & Hokey Min, 2022. "Influential factors in decision support capabilities of a mobile-enabled interactive analytical dashboard system," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 16(4), pages 423-447.
    • Handle: RePEc:ids:ijbsre:v:16:y:2022:i:4:p:423-447
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