Assessing the Credibility of Decisional Guidance Delivered by Information Systems

References

• Althuizen, A., and Wierenga, B. Supporting creative problem solving with a case-based reasoning system. Journal of Management Information Systems, 31, 1 (2014), 309–340.
   Web of Science ®Google Scholar
• Charness, G., and Gneezy, U. Strong evidence for gender differences in risk taking. Journal of Economic Behavior and Organization, 83 (2012), 50–58.
   Web of Science ®Google Scholar
• Chevalier, J.A., and Mayzlin, D. The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 18 (2006), 345–354.
   Web of Science ®Google Scholar
• Dellarocas, C. How often should reputation mechanisms update a trader’s reputation profile? Information Systems Research, 17, 3 (2006), 271–285.
   Web of Science ®Google Scholar
• Dholakia, R.R. Source credibility effects: A test of behavioral persistence. In M. Wallendorf and P. Anderson (eds.), NA - Advances in Consumer Research Volume 14. Provo, UT: Association for Consumer Research, 1986, pp. 426–430. Available at http://acrwebsite.org/volumes/6731/volumes/v14/NA-14 (accessed on XXX)
   Google Scholar
• Dholakia, R.R., and Sternthal, B. Highly credible sources: Persuasive facilitators or persuasive liabilities? Journal of Consumer Research, 3, 3 (1977), 223–233.
   Web of Science ®Google Scholar
• Field, A., Discovering Statistics Using IBM SPSS Statistics. London, UK: Sage, 2013.
   Google Scholar
• Forman, C.; Ghose, A.; and Wiesenfield, B. Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information Systems Research, 19, 3 (2008), 291–313.
   Web of Science ®Google Scholar
• Goes, P.B.; Lin, M.; and Yeung, C.A. “Popularity Effect” in user-generated content: Evidence from online product reviews. Information Systems Research, 25, 2 (2014), 222–238.
   Web of Science ®Google Scholar
• Goslar, M.D. Capability criteria for marketing decision support systems. Journal of Management Information Systems, 3, 1 (1986), 81–95.
   Google Scholar
• Green, G.I., and Hughes, C.T. Effects of decision support systems training and cognitive style on decision process attributes. Journal of Management Information Systems, 3, 2 (1986), 83–93.
   Google Scholar
• Haigh, M.S., and List, J.A. Do professional traders exhibit myopic loss aversion? An experimental analysis. Journal of Finance, 60 (2005), 523–534.
   Web of Science ®Google Scholar
• Hardin, A.M., and Looney, C.A. Myopic loss aversion: Demystifying the key factors influencing decision problem framing. Organizational Behavior and Human Decision Processes, 117, 2012), 311–331.
   Web of Science ®Google Scholar
• Harvey, N.; Harries, C.; and Fischer, I. Using advice and assessing its quality. Organizational Behavior and Human Decision Processes, 81, 2 (2000), 252–273.
   PubMed Web of Science ®Google Scholar
• Herbig, P., and Milewicz, J. The relationship of reputation and credibility to brand success. Journal of Consumer Marketing, 10, 3 (1993), 18–24.
   Google Scholar
• Hogue, J.T. Decision support systems and the traditional computer information system function: An examination of relationships during DSS application development. Journal of Management Information Systems, 2, 1 (1985), 33–38.
   Google Scholar
• Jaggia, S., and Thosar, S. Risk aversion and the investment horizon: A new perspective on the time diversification debate. Journal of Psychology and Financial Markets, 1 (2000), 211–215.
   Google Scholar
• Jones, D.R., and Brown, D. The division of labor between human and computer in the presence of decision support system advice. Decision Support Systems, 33 (2002), 375–388.
   Web of Science ®Google Scholar
• Jones, L.W.; Sinclair, R.C.; and Courneya, K.S. The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: An integration of the elaboration likelihood model and prospect theory. Journal of Applied Psychology, 33, 1 (2003), 179–196.
   Web of Science ®Google Scholar
• Kayande, U. et al. How incorporating feedback mechanisms in a DSS affects DSS evaluations. Information Systems Research, 20, 4 (2009), 527–546.
   Web of Science ®Google Scholar
• Kumar, N., and Benbasat, I. The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17, 4 (2006), 425–439.
   Web of Science ®Google Scholar
• Lacity, M.C., and Willcocks, L.P. A new approach to automating services. MITSloan Management Review, 58, 1 (2016), 41–49.
   Google Scholar
• Lam, S.S.K. The effects of group decision support systems and task structures on group communication and decision quality. Journal of Management Information Systems, 13, 4 (1997), 193–215.
   Google Scholar
• Langer, T., and Weber, M. Does commitment or feedback influence myopic loss aversion? An experimental analysis. Journal of Economic Behavior and Organization, 67 (2008), 810–819.
   Web of Science ®Google Scholar
• Looney, C.A.; Akbulut, A.Y.; and Poston, R.S. Understanding the determinants of service channel preference in the early stages of adoption: A social cognitive perspective on online brokerage services. Decision Sciences, 39, 4 (2008), 821–857.
   Web of Science ®Google Scholar
• Looney, C.A., and Hardin, A.M. Decision support for retirement portfolio management: Overcoming myopic loss aversion via technology design. Management Science, 55, 2009), 1688–1703.
   Google Scholar
• Looney, C.A. et al., Paradoxes of online investing: Testing the influence of technology on user expectancies. Decision Sciences, 37, 2 (2006), 205–246.
   Web of Science ®Google Scholar
• Lowry, P.B. et al., Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers. Journal of the American Society for Information Science and Technology, 63, 4 (2012), 755–776.
   Web of Science ®Google Scholar
• Lynch, J.G., and Ariely, D. Wine online: Search costs affect competition on price, quality and distribution. Marketing Sceince, 19, 1 (2000), 83–103.
   Web of Science ®Google Scholar
• Marcoulides, G.A., and Hershberger, S.L. Multivariate Statistical Methods: A First Course. Mahwah, NJ: Lawrence Erlbaum, 1997.
   Google Scholar
• Mayhew, B.W., and Vitalis, A. Myopic loss aversion and market experience. Journal of Economic Behavior and Organization, 97 (2014), 113–125.
   Web of Science ®Google Scholar
• Mudambi, S.M., and Schuff, D. What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34, 1 (2010), 185–200.
   Google Scholar
• Offir, C., and Simonson, I. In search of negative customer feedback: The effect of expecting to evaluate on satisfaction evaluations. Journal of Marketing Research, 38, 2 (2001), 170–182.
   Web of Science ®Google Scholar
• Parikh, M.; Fazlollahi, B.; and Verma, S. The effectiveness of decisional guidance: An empirical evaluation. Decision Sciences, 32, 2 (2001), 303–331.
   Web of Science ®Google Scholar
• Pavlou, P., and Dimoka, A. The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17, 4 (2006), 392–414.
   Web of Science ®Google Scholar
• Petty, R.E.; and Cacioppo, J.T.; and Schumann, D. Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10, 9 (1983), 135–146.
   Web of Science ®Google Scholar
• Phipps, J.L. Average 401(k) balances double, 2014. Available at http://www.bankrate.com/financing/retirement/average-401k-balances-double/ (accessed on XXX)
   Google Scholar
• Pornpitakpan, C., The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Social Psychology, 34, 2 (2004), 243–281.
   Web of Science ®Google Scholar
• Poston, R.S., and Speier, C. Effective use of knowledge management systems: A process model of content ratings and credibility indicators. MIS Quarterly, 29, 2 (2005), 221–244.
   Web of Science ®Google Scholar
• Ransbotham, S., and Kiron, D. Analytics as a source of business innovation. MITSloan Management Review, February 2017. Available at http://sloanreview.mit.edu/projects/analytics-as-a-source-of-business-innovation/ (accessed on XXX)
   Google Scholar
• Sampson, S.E. Ramifications of monitoring service quality through passively solicited customer feedback. Decision Sciences, 27, 4 (1996), 601–622.
   Web of Science ®Google Scholar
• See, K.E. et al. The detrimental effects of power on confidence, advice taking, and accuracy. Organizational Behavior and Human Decision Processes, 116 (2011), 272–285.
   Web of Science ®Google Scholar
• Silver, M.S. Decisional support systems: Directed and nondirected change. Operations Research, 36, 6 (1988), 904–916.
   Web of Science ®Google Scholar
• Silver, M.S. Decisional support systems: Directed and nondirected change. Information Systems Research, 1, 1 (1990), 47–70.
   Web of Science ®Google Scholar
• Silver, M.S. Decisional guidance for computer-based decisional support. MIS Quarterly, 15, 1 (1991), 105–122.
   Web of Science ®Google Scholar
• Silver, M.S. Decisional guidance: Broadening the scope. In V. Zwass (ed.), Human–Computer Interaction and Management Information Systems Foundations. Armonk, NY: M.E. Sharpe, 2006, pp. 90–119.
   Google Scholar
• Smith, M.J. The effects of threats to attitudinal freedom as a function of message quality and initial receiver attitude. Communications Monographs, 44, 3 (1977), 196–206.
   Web of Science ®Google Scholar
• Steiger, D.M. Enhancing user understanding in a decision support system: A theoretical basis and framework. Journal of Management Information Systems, 15, 2 (1998), 199–220.
   Google Scholar
• Suri, R., and Monore, K.B. The effects of time constraints on consumers’ judgments of prices and products. Journal of Consumer Research, 30, 1 (2003), 92–104.
   Web of Science ®Google Scholar
• Thaler, R.H., and Johnson, E.J. Gambling with the house money and trying to break even: The effects of prior outcomes on risky choice. Management Science, 36, 1990), 643–660.
   Web of Science ®Google Scholar
• Thoma, V., and Williams, A. The devil you know: The effect of brand recognition and product ratings on consumer choice. Judgment and Decision Making, 8, 1 (2013), 34–44.
   Web of Science ®Google Scholar
• Tybout, A.M. Relative effectiveness of three behavioral influence strategies as supplements to persuasion in a marketing context. Journal of Marketing Research, 15 (1978), 229–242.
   Web of Science ®Google Scholar
• Wang, W., and Benbasat, I. Empirical assessment of alternative designs for enhancing different types of trusting beliefs in online recommendation agents. Journal of Management Information Systems, 33, 3 (2016), 744–745.
   Web of Science ®Google Scholar
• Xiao, B., and Benbasat, I. E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31, 1 (2007), 137–209.
   Web of Science ®Google Scholar
• Yaniv, I. Receiving other people’s advice: Influence and benefit. Organizational Behavior and Human Decision Processes, 93, 1 (2004), 1–13.
   Web of Science ®Google Scholar
• Yaniv, I., and Kleinberger, E. Advice taking in decision making: Egocentric discounting and reputation formation. Organizational Behavior and Human Decision Processes, 83, 2 (2000), 260–281.
   PubMed Web of Science ®Google Scholar
• Zahedi, F.M.; Walia, N.; and Jain, H. Augmented virtual doctor office: Theory-based design and assessment. Journal of Management Information Systems, 33, 3 (2016), 776–808.
   Web of Science ®Google Scholar
• Zwass, V. Editorial Introduction. Journal of Management Information Systems, 33, 3 (2016), 621–623.
   Web of Science ®Google Scholar