My PhD dissertation Pilot Study was selected for presentation at the annual INFORMS conference. (Institute for Operations Research and Management Sciences)

1. TUI University College of Business Administration BALANCING DECISION SPEED AND DECISION QUALITY: ASSESSING THE IMPACT OF BUSINESS INTELLIGENCE SYSTEMS IN HIGH VELOCITY ENVIRONMENTS Criston W Cox Jr PhD Candidate Dissertation Committee Dr. Yufeng Tu Dr. Yajiong Xue Dr. William Kemple

3. Relevant Literature and flow to the DV High Velocity Environment Faster decision = better performance Type of information most needed in high velocity environments is real time information. This need drives the decision to implement a real time Business Intelligence System Enough info to make decision without information overload. Measured by Number of Alternatives Jacoby, Russo, Malhotra, Gallupe, et al. ( accuracy) Haubl and Trifts, 2000; Sharda, Barr, and McDonald, 1988; BI System Usage Frequency and Length of Use depends on three primary effects of information (which affect user satisfaction) Eisenhardt and Bourgeois, 1989 Bogner and Barr, 2000; Judge and Miller, 1995, Baum and Wally, 2003 Effectiveness of the BI System to provide timely, accurate , and relevant information (R3) / Impact on OODA Loop Bryant, 2006; Negash, 2004, Nicolas, 2004; Stalk and Hout, 1990 Impact on Decision Quality Greater access to needed Information Leidner and Elam (1995) Reduced cognitive effort ( Todd and Benbaset, 2000) Information Quality Information Quantity Information Availability Sawy and Majchrzak, 2004; Eisenhardt and Bourgeois, 1989 Delone and McLean, 1992; Leidner and Elam, 1995; Huber, 1990; Jones and Straub, 2006 multicolinearity Oreilly, 1982 found significant associations among both information quality and availability of information sources, and the frequency of their use.

7. Conceptual Model 04/12/10

8. Variables Mapped to Survey Questions Variable Label (Type) Code Survey Question Number Source of Survey Item Decision Quality Dependent Variable DcnQu 6-11 12-15 Dooley and Fryxell, 1999 Paul, Saunders, and Haseman, 2005 Decision Speed DcnSp 19-21 Leidner and Elam, 1995 System Usage SysUs 16a-d, 18 17 Leidner & Elam, 2005 Iivari, 2005 Information Overload InfoOv 31-35 O’Reilly, 1980 Information Availability InfoAv 28-30 Leidner and Elam, 1995 Information Quality InfoQu 22-27 Iivari, 2005

10. Job Level

11. Distribution of Major BI Systems

12. Organization Size

13. 04/12/10 Internal Consistency VARIABLE CRONBACH'S ALPHA SYSTEM USAGE 0.65 INFORMATION OVERLOAD 0.73 INFORMATION QUALITY 0.89 INFORMATION AVAILABILITY 0.78 DECISION SPEED 0.75 DECISION QUALITY 0.82

14. 04/12/10 GFI=.72 Path Analysis

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16. Backup Slides

18. 04/12/10

20. Variables and Hypotheses 04/12/10 Variables Hypotheses Decision Quality Dependent Variable Decision quality is the Dependent Variable Decision Speed H1: When enabled with a Business Intelligence System, Decision quality is positively associated to decision speed. System Usage Independent Variable H2: Higher BI system usage is positively associated to greater information availability. H3: Higher BI System Usage reduces information overload. H4: Higher BI System Usage is positively related to information quality. Information Overload Mediating Variable H5: BI aided groups will consider a greater number of simultaneous alternatives than non BI aided groups. H6: The number of alternatives is inversely related to the decision speed. H7: The number of alternatives is positively related to the decision quality. Information Availability Mediating Variable H8: Information availability is positively associated with decision speed. Information Quality Mediating Variable H9: The quality of the information is positively associated with decision effectiveness.