2,209
Views
45
CrossRef citations to date
0
Altmetric
Original Articles

Improving Decision Quality: The Role of Business Intelligence

, &

References

  • Anderson-Lehman R, Watson HJ, Wixom BH, Hoffer JA. 2004. Continental airlines flies high with real time business intelligence. MIS Q. 3(4):3–33.
  • Arnold V, Clark N, Collier PA, Leech SA. 2006. The differential use and effect of knowledge-based system explanations in novice and expert judgment decisions. MIS Q. 30(1):79–97.
  • Baron RM, Kenny DA. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical consideration. J Personality Social Psychol. 51(6):1173–1182.
  • Belsley DA, Kuh E, Welsch RE. 1980. Regression Diagnostics, Identifying Influential Data and Sources of Collinearity. New York, NY: Wiley & Sons.
  • Bharati Pratyush, Chaudhury Abhijit. 2004. An Empirical investigation of decision-making satisfaction in web-based decision support systems. Decis Support Syst. 37(2):187–197.
  • Blenko MW, Mankins MC. 2012, August. www.bain.com. [Online]. http://www.bain.com/publications/articles/measuring-decision-effectiveness.aspx
  • Braverman MT, Slater JK. 1996. Advances in Survey Research New Directions for Evaluations. San Francisco: Jossey-Bass.
  • Bui T, Sivasankaran TR. 1990. Relations between GDSS use and group task complexity: an experimental study. In: Proceedings of the Twenty-Third Hawaii International Conference on Systems Sciences. p. 69–78.
  • Chen Jengchung Vistor, Kyaw-Phyo. Linn 2012. User Satisfaction with group decision making process and outcome. J Comput Inf Syst. 52(4):30–39.
  • Clark TD, Jones MC. 2008. An experimental analysis of the dynamic structure and behavior of managerial support systems. Syst Dyn Rev. 24(2):215–245.
  • Clark Thomas D Jr., Jones Mary C, Armstrong Curtis P. 2007. The dynamic structure of management support systems: theory development, research focus, and direction. MIS Q. 31(3):579–615.
  • Cohen MD, March JD, Olsen JPA. 1972. Garbage can model of organizational choice. Administrative Sci. Q. 17:1–25.
  • Craney Trevor A, James G Surles. 2007. Model-dependent variance inflation factor cutoff values. Qual Eng. 14(3):391–403.
  • Cronin JJ, Taylor SA. 1994. SERVPERF versus SERVQUAL: reconciling performance-based and perceptions-minus-expectations measurement of service quality. J Marketing 58(1):125–131.
  • DeLone WH, McLean ER. 2002. The delone and mclean model of information systems success: a ten-year update. J Manage Inf Syst. 19(4):9–30.
  • DeSanctis G, Poole MS. 1994. Capturing the complexity in advanced technology use: adaptive structuration theory. Organ Sci. 5(2):121–147.
  • Festinger L. 1957. A Theory of Cognitive Dissonance. Evanston: Row Peterson.
  • Fichman RG, Kemerer CF. 1999. An incremental process for software implementation. Sloan Manage Rev. 40(2):39–52.
  • Galbraith JR. 1974. Organization design: an information process view. Interfaces 4:28–36.
  • Gallupe BR, DeSanctis G. 1988. Computer-based support for group problem-finding: an experimental investigation. MIS Q. 12(2):277–296.
  • Ge Mouzhi, Helfert Markus. 2012. Impact of information quality on supply chain decisions. J Comput Inf Syst. 53(4):59–67.
  • Gelderman M. 1995. Factors affecting the success of management information systems: Analysis and meta-analysis. Proceedings of the IS/MAS forum of the Annual Conference of the American Accounting Association; August; Orlando, FL.
  • Giddens A. 1984. The Constitution of Society: Outline of the Theory of Structuration. Cambridge: Polity Press.
  • Gressner GH, Volonino L. 2005. Quick response improves on business intelligence investments. Inf Syst Manage. 22(3):66–74.
  • Hair JF, Anderson RL, Tatham R, Black W. 1998. Multivariate Data Analysis 5th Ed. New York: Prentice Hall.
  • Hoerl Arthur E., Kennard Robert W. 1970. Ridge regression: applications to nonorthogonal problems. Technometrics 12(1):69–82.
  • Hostman B, Herschel G, Rayner N. 2007. The Evolution of Business Intelligence. The Four Worlds. Gartner Research.
  • Isik O, Jones MC, Sidorova A. 2011. Business intelligence success: the role of BI capabilities. Intell Syst Accounting, Finance, Manage. 18:161–176.
  • Jones MC, Zmud RW, Clark TD. 2008. ERP in Practice: A snapshot of post-instalation perception and behaviors. Commun Assoc Inf Syst 23(1):437–462.
  • Kahnernan D, Tversky A. 1979. Prospect theory: an analysis of decisions under risk. Econometrica 47:111–132.
  • Kaltoft M, Cunich M, Salkeld G, Dowie J. 2014. Assessing decision quality in patient-centred care requires a preference-sensitive measure. J Health Serv Res Policy 19(2):110–117.
  • Kariv S, Silverman D. 2012. An Old Measure of Decision-Making Quality Sheds New Light on Paternalism. in Seminar on Behavioral Theory of Institutions in Bruges Bruges, pp. 1–20.
  • Kebede G. 2010. Knowledge management: an information science perspective. Int J Inf Manage 30(5):416–424.
  • Kelley Harold H, Michela John L. 1980. Attribution theory and research. Annu Rev Psychol. 31:457–501.
  • Kerlinger FN, Lee HB. 2000. Foundations Of Behavioral Research 4th Ed. New York, NY: Thomson Learning.
  • Kia AR. 2012. Investigation of the effects of corporation ability association and brand awareness on repurchase intention and mediator roles of quality perception and brand resonance in consumer decision marketing process. J Marketing Manage. 7(14):89–103.
  • Klein G, Orasanu J, Calderwood R, Zsambok CE. 1993. Decision Making in Action - Models and Methods. Westport, CT: Ablex Publishing.
  • Langer EJ. 1975. The Illusion of Control. J Personality Social Psychol. 32(2):311–328.
  • Lee WY, Strong DM, Kahn BK, and Wang RY. 2002. AIMQ: a methodology for informationquality assessment. Inf. Manage. 40(2):133–146.
  • Lycett M. 2013. Datafication: making sense of (big) data in a complex world. Eur J Inf Syst. 22:381–386.
  • McDonald Gary C. 2009. Ridge regression. Wiley Interdisciplinary Reviews: Computational Statistics 1(1):93–100.
  • McMurchy N. 2013. Take These steps to develop successful bi business cases. Retrived from Gartner Database.
  • Miller Dale T, Ross, Michael. 1975. Self-serving biases in the attribution of causality: fact or fiction. Psychological Bull. 82(2):213–225.
  • Nelson GS. 2010. Business Intelligence 2.0. Are we there yet?. SAS Global Forum, p. Paper 040.
  • Nelson RR, Todd PA, Wixom, BH. 2005. Antecedents of information and system quality: an empirical examination within the context of data warehousing. J Manage Inf Syst 21(4):199–235.
  • Newell A, Simon HA. 1972. Human Problem Solving. NJ: Prentice Hall: Engklewood Cliffs.
  • Norman K Ma, Aiken T. 2010. A Foundation for evolving command and control activities. in International Command and Control Research and Technology Symposium, Santa Monica, pp. 1–17.
  • Oliver RLA. 1980. Cognitive model of the antecedents and consequences of satisfaction decisions. J Marketing Res. 17(4):460–469. [Online]. http://www.jstor.org/stable/10.2307/3150499
  • Parasuraman A, Zeithaml Valerie A, Berry Leonard L. 1988. SERVQUAL: Multiple-item scale for measuring consumer perceptions of service quality. J Retailing 12–40.
  • Podsakoff PM, Organ DW. 1986. Self-reports in organizational research: problems and prospects. J Manage. 12:531–544.
  • Russom P. 2011. Big Data Analytics, [Online]. http://www.greenplum.com/sites/default/files/TDWI_BPReport_Q411_Big_Data_Analytics.pdf
  • Scott J, Globe A, Schiffer K. 2004. Jungles and gardens: the evolution of knowledge management at J.D. edwards. MIS Q Executive 3(1):37–52.
  • Sculpher M, Fenwick E, Claxton K. 2000. Assessing quality in decision analytic cost-effectiveness models. Pharmacoeconomics 17(5):461–477.
  • Seddon PB, Constantinidis D, Dod H. 2012. How does business analystics contribute to business value? in Thirty Third International Conference on Information Systems, Orlando, pp. 1–17.
  • Sepucha KR, Fowler FJ. 2013, August. http://informedmedicaldecisions.org. [Online]. http://informedmedicaldecisions.org/wp-content/uploads/2013/03/Measuring_DQ_Sepucha_Fowler_Final.pdf
  • Shim JP et al. 2002. Past, present, and future of decision support technology. Decision Support Systems 111–126.
  • Simon H. 1956. Reply: Surrogates for Uncertain Decision Problems. Office of Naval Research.
  • Solomon MD. 2005. Ensuring a successful data warehouse initiative. Inf Syst Manage. 22(1):26–36.
  • Vendlinsky TP, Baker EL, Niemi D. 2008. Templates and objects in authoring problem-solving assessments in Assessment of Problem Solving Simulations. New York: Erlbaum, pp. 309–333.
  • Vessey I. 1991. Cognitive fit: a theory-based analysis of the graphs versus tables literature. Decis Sci. 22(2):219–240.
  • Watson HJ, Abraham DL, Chen D, Preston D, Thomas D. 2004. Data warehousing ROI: justifying and assessing a data warehouse. Bus Intell J. 9(2):6–17.
  • Watson Hugh J, Wixom Barbara H. 2007. The current state of business intelligence. IT Syst Perspect. 23(1):96–99.
  • Watson HJ, Wixom BH, Hoffer JA, Anderson-Lehman R, Reynolds AM. 2006. Real-time business intelligence: best practices at continental airlines. Inf Syst Manage. 23(1):7–18.
  • Wierenga B, Van Brugen GH, Althuizen AP. 2008. Advances in Marketing Management Support Systems in Handbook of Marketing Decision Models. New York: Springer, pp. 561–592.
  • Wixom Barbara H, Todd Peter AA. 2005 March. Theoretical integration of user satisfaction and technology acceptance. Inf Syst Res. 16(1):85–102.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.