Impact of visualization type and contextual factors on performance with enterprise resource planning systems

We studied the use of two types of graphic information visualization to support human operators performing tasks using enterprise resource planning systems (ERP). We compared the original display design of a commercial ERP system with a prototype information visualization design. A simulated supply chain was used to test the hypothesis that graphical visualization can improve the performance of the human operator using ERP systems for supply chain management. Tasks from the production and purchasing domains were tested in the experiment in which experienced and inexperienced human operators had to perform tasks of an easy, moderate, and difficult nature. Analysis of the results revealed that the two types of graphical visualization significantly reduced response time, particularly with inexperienced users performing difficult tasks. Our results imply that some graphic information visualization displays for ERP systems can increase the probability of a successful implementation and enhance the capabilities of the human operators.

[1]  Nashwan Dawood,et al.  Multi-constraint information management and visualisation for collaborative planning and control in construction , 2003, J. Inf. Technol. Constr..

[2]  Joachim Meyer,et al.  Predicting Values and Trends from Tables and Graphs , 1996 .

[3]  D. Simchi-Levi Designing And Managing The Supply Chain , 2007 .

[4]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[5]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[6]  Ben Shneiderman,et al.  Tree visualization with tree-maps: 2-d space-filling approach , 1992, TOGS.

[7]  Stuart K. Card,et al.  The effects of information scent on visual search in the hyperbolic tree browser , 2003, TCHI.

[8]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[9]  Joseph H. Goldberg,et al.  Enterprise Network Monitoring Using Treemaps , 2005 .

[10]  Joan H. Coll,et al.  Graphs and tables: a four-factor experiment , 1994, CACM.

[11]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[12]  Chaomei Chen,et al.  Information visualization - beyond the horizon (2. ed.) , 2004 .

[13]  Ben Shneiderman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[14]  Gerardine DeSanctis,et al.  COMPUTER GRAPHICS AS DECISION AIDS: DIRECTIONS FOR RESEARCH* , 1984 .

[15]  Stuart K. Card,et al.  Visual information foraging in a focus + context visualization , 2001, CHI.

[16]  Ganesh S. Oak Information Visualization Introduction , 2022 .

[17]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[18]  Chu‐Hua Kuei,et al.  Designing and Managing the Supply Chain Concepts, Strategies, and Case Studies , 2000 .

[19]  Larry Press,et al.  International perspectives: computing at the top of the world , 2000, CACM.

[20]  Ben Shneiderman,et al.  An Experimental Comparison of Tabular and Graphic Data Presentation , 1984, Int. J. Man Mach. Stud..

[21]  Joan H. Coll,et al.  Tables and Graphs: A Classification Scheme for Display Presentation Variables and a Framework for Research in this Area , 1993, Inf. Process. Manag..

[22]  W. Cleveland,et al.  Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods , 1984 .

[23]  Ramana Rao,et al.  A focus+context technique based on hyperbolic geometry for visualizing large hierarchies , 1995, CHI '95.

[24]  Alfred Kobsa User Experiments with Tree Visualization Systems , 2004, IEEE Symposium on Information Visualization.

[25]  Chaomei Chen,et al.  Information Visualization: Beyond the Horizon , 2006 .

[26]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[27]  T. Davenport Putting the enterprise into the enterprise system. , 1998, Harvard business review.

[28]  Joachim Meyer,et al.  Multiple Factors that Determine Performance with Tables and Graphs , 1997, Hum. Factors.

[29]  Angela Shen-Hsieh,et al.  Data visualization for strategic decision making , 2002, CHI '02.

[30]  David R. Schwartz,et al.  Optional Stopping Performance under Graphic and Numeric CRT Formatting , 1984 .

[31]  Ben Shneiderman,et al.  The Craft of Information Visualization: Readings and Reflections , 2003 .