The use of graphs as decision aids in relation to information overload and managerial decision quality

Abstract

Nowadays, people with limited information processing capability are unable to cope with an exponentially increasing amount of information, leading to a phenomenon called information overload. This phenomenon has widely been recognized to have adverse effects on decision quality. The purpose of this study is to investigate the effectiveness of using graphs as decision aids to reduce the adverse effects of information overload on decision quality. The results obtained from an experiment simulating a real business prediction task with a sample of business managers indicated that prediction accuracy deteriorated under information overload. However, the mode of presentation format alone did not have any significant impact on prediction accuracy; nor did the interactions of information load and the mode of presentation format. The implications of these results are discussed. 50 1 2

Impact assessment of electronic mass communication in a tertiary institution

“…As a consequence people often find themselves unable to cope with an increasing amount of information (Chan, 2001). Information overload originates both from own requests for information and information received inertly (Marcusohn, 1995).…”

User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit

“…In addition to its use in studies of graphs and tables [91], CFT has been used to explain sense making in data-exploration tasks [92], efficient query building [93,94], online shopping [95,96], graphs and information load [97], graphs and uncertainty [98,99], geographical information systems [100][101][102], accounting visualization [88,[103][104][105], spreadsheet usage and error correction [106], expert-data and selforganizing maps [107], maps [108,109], model comprehension [110][111][112], efficient database views [113], visual interactive simulations [114], multi-attribute data presentation [115], software development [116][117][118], hypertext and knowledge type [119], executive support systems [120,121], judgment strategies [122], system acceptance [123], multimedia effectiveness [124], interface design [125], decision aid features [126], pattern recognition [127], virtual reality [128], knowledge transfer [129], decision tables, trees, and rules [130], expertise and online reviews [...…”

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