References
- Arnott, D. (2006). Cognitive biases and decision support systems development: A design science approach. Information Systems Journal, 16(1), 55–78.
- Arnott, D., & Pervan, G. (2014). A critical analysis of decision support systems research revisited: The rise of design science. Journal of Information Technology, 29(4), 269–293.
- Bazerman, M.H., & Moore, D.A. (2013). Judgment in managerial decision making (8th ed. ed.). Hoboken, NJ: Wiley.
- Blake, R., & Shankaranarayanan, G. (2012). Discovering data and information quality research: Insights gained through latent semantic analysis. International Journal of Business Intelligence Research, 3(1), 1–16.
- Chapman, G.B. & Johnson, E.J. (1999). Anchoring, activation, and the construction of values. Organizational Behavior and Human Decision Processes, 79(2), 115–153.
- Chapman, G.B., & Johnson, E.J. (1994). The limits of anchoring. Journal of Behavioral Decision Making, 7(4), 223–242.
- Chen, J., & Lee, S. (2003). An exploratory cognitive DSS for strategic decision making. Decision Support Systems, 36(2), 147–160.
- Critcher, C.R., & Gilovich, T. (2008). Incidental environmental anchors. Journal of Behavioral Decision Making, 21(3), 241–251.
- Davison, R.M., & Martinsons, M.G. (2016). Context is king! Considering particularism in research design and reporting. Journal of Information Technology, 31(3), 241–249.
- Evans, J.S.B.T. (2003). In two minds: Dual-process accounts of reasoning. Trends in Cognitive Sciences, 7(10), 454–459.
- Foley, É., & Guillemette, M.G. (2010). What is business intelligence? International Journal of Business Intelligence Research, 1(4), 1–28.
- Furnham, A., & Boo, H.C. (2011). A literature review of the anchoring effect. The Journal of Socio-Economics, 40(1), 35–42.
- Gartner. (2017). Forecast alert: IT spending, worldwide, 2Q17 update. Stamford, CT: Author. visited on April/ 20/2018. Retrieved from https://www.gartner.com/doc/3756172/forecast-alert-it-spending-worldwide
- Gartner. (2018). Mastering the new business executive job of the CIO: Insights from the 2018 CIO agenda report. Stamford, CT: Author. visited on May/ 10/2018. Retrieved from https://www.gartner.com/imagesrv/cio-trends/pdf/cio_agenda_2018.pdf
- Hammond, J.S., Keeney, R.L., & Raiffa, H. (1998). The hidden traps in decision making. Harvard Business Review, 76(5), 47–58.
- Huang, H., Hsu, J., & Ku, C. (2012). Understanding the role of computer-mediated counter-argument in countering confirmation bias. Decision Support Systems, 53(3), 438–447.
- Işık, Ö., Jones, M.C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information & Management, 50(1), 13–23.
- Jourdan, Z., Rainer, R., & Marshall, T. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121–131.
- Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus and Giroux.
- Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), Heuristics and biases: The psychology of intuitive judgment (pp. 49–81). New York: Cambridge University Press.
- Kappelman, L., Johnson, V., Maurer, C., McLean, E., Torres, R., David, A., & Quynh, N. (2018). The 2017 SIM IT issues and trends study. MIS Quarterly Executive, 17(1), 53–88.
- Kowalczyk, M., Buxmann, P., & Besier, J. (2013). Investigating business intelligence and analytics from a decision process perspective: A structured literature review. Paper presented at the 22nd European Conference on Information Systems, Utrecht, Netherlands.
- Kuo, F.-Y., Hsu, C.-W., & Day, R.-F. (2009). An exploratory study of cognitive effort involved in decision under framing-An application of the eye-tracking technology. Decision Support Systems, 48(1), 81–91.
- LeBoeuf, R.A., & Shafir, E. (2009). Anchoring on the “here” and “now” in time and distance judgments. Journal of Experimental Psychology: Learning, Memory, & Cognition, 35(1), 81–93.
- Northcraft, G.B., & Neale, M.A. (1987). Experts, amateurs, and real estate: An anchoring-and-adjustment perspective on property pricing decisions. Organizational Behavior and Human Decision Processes, 39(1), 84–97.
- Oppenheimer, D.M., LeBoeuf, R.A., & Brewer, N.T. (2008). Anchors aweigh: A demonstration of cross-modality anchoring and magnitude priming. Cognition, 106(1), 13–26.
- Pukelsheim, F. (1994). The three sigma rule. The American Statistician, 48(2), 88–91.
- Slovic, P., Finucane, M.L., Peters, E., & MacGregor, D.G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333–1352.
- Smith, V.L. (2010). Theory and experiment: What are the questions? Journal of Economic Behavior & Organization, 73(1), 3–15.
- Stanovich, K.E., & West, R.F. (2000). Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences, 23(5), 645–665.
- Strack, F., & Mussweiler, T. (1997). Explaining the enigmatic anchoring effect: Mechanisms of selective accessibility. Journal of Personality and Social Psychology, 73(3), 437–446.
- Tan, W.-K., Tan, C.-H., & Teo, -H.-H. (2012). Consumer-based decision aid that explains which to buy: Decision confirmation or overconfidence bias? Decision Support Systems, 53(1), 127–141.
- Trieu, V.-H. (2017). Getting value from business intelligence systems: A review and research agenda. Decision Support Systems, 93, 111–124.
- Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.
- van Exel, N.J.A., Brouwer, W.B.F., van Den Berg, B., & Koopmanschap, M.A. (2006). With a little help from an anchor: Discussion and evidence of anchoring effects in contingent valuation. The Journal of Socio-Economics, 35(5), 836–853.
- Wegener, D.T., Petty, R.E., Blankenship, K.L., & Detweiler-Bedell, B. (2010). Elaboration and numerical anchoring: Implications of attitude theories for consumer judgment and decision making. Journal of Consumer Psychology, 20(1), 5–16.
- Yusof, E.M.B.M., & Yusof, A.R.M. (2013). The study on the application of business intelligence in manufacturing: A review. International Journal of Business Intelligence Research (IJBIR), 4(1), 43–51.