Persuasive decision support: Improving reliance on decision support systems

PACIS 2009 - 13th Pacific Asia Conference on Information Systems: IT Services in a Global Environment

Volumn , Issue , 2009, Pages

  Parkes, Alison ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Decision support; Decisional guidance; Perceived usefulness; Persuasiveness; Task difficulty

Indexed keywords

DECISION SUPPORTS; DECISIONAL GUIDANCE; PERCEIVED USEFULNESS; PERSUASIVENESS; TASK DIFFICULTY;

ARTIFICIAL INTELLIGENCE; DECISION MAKING; INFORMATION SYSTEMS;

DECISION SUPPORT SYSTEMS;

EID: 84855671937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Arnold, V, N Clark, P.A Collier, S.A Leech, and S.G Sutton. 2004. Explanation Provision and Use inan Intelligent Decision Aid. International Journal of Intelligent Systems in Accounting, Finance & Management 12 (1):5-28.
2. Arnold, V, P.A Collier, S.A Leech, and S.G Sutton. 2004. Impact of Intelligent Decision Aids on Experienced and Novice Decision-Makers' Judgments. Accounting & Finance 44 (1):1-26.
3. Arnold, V, and S.G Sutton. 1998. The Theory of Technology Dominance: Understanding the Impactof Intelligent Decision Aids on Decision Makers' Judgments. Advances in AccountingBehavioural Research 1:175 - 194.
4. Collier, P.A, S.A Leech, and N Clark. 1999. A validated expert system for decision making incorporate recovery. International Journal of Intelligent Systems in Accounting, Finance &Management 8:75 - 88.
5. Davern, M. J, and R. J. Kauffman. 2000. Discovering potential and realizing value from informationtechnology investments. Journal of Management Information Systems 16 (4):121-143. (Pubitemid 32716776)
6. Davern, M.J. 1998. Performance with Information Technology: Individual Fit and Reliance onDecision Support Systems. PhD, University of Minnesota PhD.
7. Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of informationtechnology. MIS Quarterly 13 (3):319-339.
8. Davis, F.D, R.P Bagozzi, and P.R Warshaw. 1989. User acceptance of computer technology: Acomparison of two theoretical models. Management Science 35 (8):982 - 1003.
9. Hampton, C. 2005. Determinants of Reliance: An empirical test of the theory of technologydominance. International Journal of Accounting Information Systems 6:214 - 240.
10. Hovland, C. I. 1957. Order of presentation in persuasion, Yale studies in attitude and communication.New Haven, Conn.: Yale University Press.
11. Hovland, C. I, I.L Janis, and H.H Kelley. 1982. Communication and persuasion. Westport, Conn:Greenwood Press.
12. Jiang, J. J, G Klein, and R.G Vedder. 2000. Persuasive expert systems: the influence of confidence anddiscrepancy. Computers in Human Behavior 16:99 - 109. (Pubitemid 30580843)
13. Jiang, J.J, and G Klein. 2000. Side effects of decision guidance in decision support systems.Interacting with Computers 12:469 - 481. (Pubitemid 30552336)
14. Johnson, E.J, and J.W Payne. 1985. Effort and Accuracy in Choice. Management Science 31 (4):395 -414.
15. Leech, S. A, P. A Collier, S. G Sutton, and V Arnold. 2003. Impact of intelligent decision aids onhuman knowledge acquisition: Australian Research Council Discovery Project Grant DP0344241.
16. Leech, S.A, P.A Collier, and N Clark. 1999. A generalized model of decision-making processes forcompanies in financial distress. Accounting Forum 23 (2):155 - 174.
17. Limayem, M, and G Desanctis. 2000. Providing Decisional Guidance for Multicriteria DecisionMaking in Groups. Information Systems Research 11 (4):386 - 401. (Pubitemid 33224537)
18. Mahoney, L.S, P.B Roush, and D Bandy. 2003. An investigation of the effects of decisional guidanceand cognitive ability on decision-making involving uncertainty data. Information &Organization 13:85 - 110. (Pubitemid 36184840)
19. Mathieson, K. 1991. Predicting User Intentions: Comparing the Technology Acceptance Model withthe Theory of Planned Behavior'. Information Systems Research 2 (3):173 - 191.
20. Mazzotta, I, F De Rosis, and V Carofiglio. 2007. Portia: a user-adapted persuasion system in thehealthy eating domain. IEEE Intelligent systems 22 (6):42 - 51. (Pubitemid 350231668)
21. Midden, C, T McCalley, J Ham, and R Zaalberg. 2008. Using persuasive technology to encouragesustainable behavior. Paper read at Pervasive Persuasive Technology and EnvironmentalSustainability Workshop; held at the 6th International Conference on Pervasive Computing, atSydney, Australia.
22. Montazemi, A.R, F Wang, S.M.K Nainar, and C.K Bart. 1996. On the effectiveness of decisional guidance. Decision Support Systems 19:181-198. (Pubitemid 126364818)
23. Parikh, M, B Fazlollahi, and S Verma. 2001. The Effectiveness of Decisional Guidance: An EmpiricalEvaluation. Decision Sciences 32 (2):303 - 331.
24. Silver, M.S. 1990. Decision Support Systems: Directed and Nondirected Change. Information SystemsResearch 1 (1):47 - 70.
25. 1991. Decisional Guidance for Computer-Based Decision Support. MIS Quarterly 15 (1):105- 122.
26. Todd, P, and I Benbasat. 1999. Evaluating the Impact of DSS, Cognitive Effort, and Incentives onStrategy Selection. Information Systems Research 10 (4):356 - 374.
27. Van de Ven, A. H, and A. L Delbecq. 1974. A Task Contingent Model of Work-Unit Structure.Administrative Sciences Quarterly 19 (2):183-197.
28. Van de Ven, A. H, and D. L Ferry. 1980. Measuring and assessing organizations. New York: JohnWiley & Sons.
29. Wilson, E.V, and I Zigurs. 1999. Decisional Guidance and end-user display choices. Accounting, Management & Information Technology 9:49 - 75.
30. Wood, R.E. 1986. Task Complexity: Definition of the Construct. Organizational Behaviour andHuman Decision Processes 37:60 - 82.