Assessing the Credibility of Decisional Guidance Delivered by Information Systems

Abstract This work investigates the independent and joint influences of suggestive guidance and credibility indicators in a repeated choice environment laden with risk and uncertainty. Consistent with expectations, results from two studies reveal that aggressive and conservative suggestive guidance influence participant decision making. Credibility indicators partially moderate these relationships such that low credibility indicators lead to increased risk taking when suggestive guidance is conservative and decreased risk taking when suggestive guidance is aggressive. Post hoc analyses designed to examine differences in results across the two studies reveal unexpected differences in risk trends across participant type. Together, these findings contribute to the decision support system (DSS) literature by illustrating how credibility indicators can push users toward or away from either beneficial or detrimental suggestive guidance, and further, by challenging the commonly held assumption that inexperienced and experienced decision makers accept similar levels of risk in DSS settings where risk and uncertainty prevail.

[1]  Bijan Fazlollahi,et al.  The Effectiveness of Decisional Guidance: An Empirical Evaluation , 2001, Decis. Sci..

[2]  Shuk Ying Ho,et al.  Human-computer interaction and management information systems: Foundations , 2008, J. Assoc. Inf. Sci. Technol..

[3]  David M. Steiger,et al.  Enhancing User Understanding in a Decision Support System: A Theoretical Basis and Framework , 1998, J. Manag. Inf. Syst..

[4]  Robin S. Poston,et al.  Effective Use of Knowledge Management Systems: A Process Model of Content Ratings and Credibility Indicators , 2005, MIS Q..

[5]  M. Smith,et al.  The effects of threats to attitudinal freedom as a function of message quality and initial receiver attitude , 1977 .

[6]  Peter A. Todd,et al.  Paradoxes of Online Investing: Testing the Influence of Technology on User Expectancies , 2006, Decis. Sci..

[7]  Kent B. Monroe,et al.  The Effects of Time Constraints on Consumers' Judgments of Prices and Products , 2003 .

[8]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[9]  Gerrit van Bruggen,et al.  How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations , 2009, Inf. Syst. Res..

[10]  Mark S. Silver,et al.  Decision Support Systems: Directed and Nondirected Change , 1990, Inf. Syst. Res..

[11]  Volker Thoma,et al.  The devil you know: The effect of brand recognition and product ratings on consumer choice , 2013, Judgment and Decision Making.

[12]  Anindya Ghose,et al.  Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..

[13]  Chrysanthos Dellarocas,et al.  How Often Should Reputation Mechanisms Update a Trader's Reputation Profile? , 2006, Inf. Syst. Res..

[14]  Martin D. Goslar,et al.  Capability Criteria for Marketing Decision Support Systems , 1986, J. Manag. Inf. Syst..

[15]  John G. Lynch,et al.  Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution , 2000 .

[16]  G. Charness,et al.  Strong Evidence for Gender Differences in Risk Taking , 2012 .

[17]  Scott E. Sampson Ramifications of Monitoring Service Quality Through Passively Solicited Customer Feedback , 1996 .

[18]  Nitin Walia,et al.  Augmented Virtual Doctor Office: Theory-based Design and Assessment , 2016, J. Manag. Inf. Syst..

[19]  Izak Benbasat,et al.  Empirical Assessment of Alternative Designs for Enhancing Different Types of Trusting Beliefs in Online Recommendation Agents , 2016, J. Manag. Inf. Syst..

[20]  Thomas Langer,et al.  Does Commitment or Feedback Influence Myopic Loss Aversion? An Experimental Analysis , 2008 .

[21]  Matthew L. Jensen,et al.  Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers , 2012, J. Assoc. Inf. Sci. Technol..

[22]  Berend Wierenga,et al.  Supporting Creative Problem Solving with a Case-Based Reasoning System , 2014, J. Manag. Inf. Syst..

[23]  Asli Yagmur Akbulut,et al.  Understanding the Determinants of Service Channel Preference in the Early Stages of Adoption: A Social Cognitive Perspective on Online Brokerage Services , 2008, Decis. Sci..

[24]  Simon S. K. Lam,et al.  The Effects of Group Decision Support Systems and Task Structures on Group Communication and Decision Quality , 1997, J. Manag. Inf. Syst..

[25]  Andrew M. Hardin,et al.  Decision Support for Retirement Portfolio Management: Overcoming Myopic Loss Aversion via Technology Design , 2009, Manag. Sci..

[26]  Andrew M. Hardin,et al.  Myopic loss aversion: Demystifying the key factors influencing decision problem framing , 2012 .

[27]  Mark S. Silver,et al.  Decisional Guidance for Computer-Based Decision Support , 1991, MIS Q..

[28]  Izak Benbasat,et al.  Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites , 2006, Inf. Syst. Res..

[29]  Sanjiv Jaggia,et al.  Risk Aversion and the Investment Horizon: A New Perspective on the Time Diversification Debate , 2000 .

[30]  Ilan Yaniv,et al.  Receiving Other People's Advice: Influence and Benefit , 2004 .

[31]  Steven M. Lalonde,et al.  Multivariate Statistical Methods: A First Course , 2001, Technometrics.

[32]  Brian W. Mayhew,et al.  Myopic Loss Aversion and Market Experience , 2014 .

[33]  Angelika Dimoka,et al.  The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation , 2006, Inf. Syst. Res..

[34]  R. Thaler,et al.  Gambling with the house money and trying to break even: the effects of prior outcomes on risky choice , 1990 .

[35]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[36]  Ruby Roy Dholakia,et al.  Source Credibility Effects: a Test of Behavioral Persistence , 1987 .

[37]  Mark S. Silver,et al.  Descriptive Analysis for Computer-Based Decision Support: Special Focus Article , 1988, Oper. Res..

[38]  Jack T. Hogue Decision Support Systems and the Traditional Computer Information System Function: An Examination of Relationships during DSS Application Development , 1985, J. Manag. Inf. Syst..

[39]  Fischer,et al.  Using Advice and Assessing Its Quality. , 2000, Organizational behavior and human decision processes.

[40]  John A. List,et al.  Do professional traders exhibit myopic loss aversion? An experimental analysis , 2005 .

[41]  Kelly E. See,et al.  The detrimental effects of power on confidence, advice taking, and accuracy , 2011 .

[42]  J. Cacioppo,et al.  Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement , 1983 .

[43]  K. Courneya,et al.  The Effects of Source Credibility and Message Framing on Exercise Intentions, Behaviors, and Attitudes: An Integration of the Elaboration Likelihood Model and Prospect Theory1 , 2003 .

[44]  Chezy Ofir,et al.  In Search of Negative Customer Feedback: The Effect of Expecting to Evaluate on Satisfaction Evaluations , 2001 .

[45]  Paul Herbig,et al.  The relationship of reputation and credibility to brand success , 1993 .

[46]  Alice M. Tybout Relative Effectiveness of Three Behavioral Influence Strategies as Supplements to Persuasion in a Marketing Context , 1978 .

[47]  Chanthika Pornpitakpan The Persuasiveness of Source Credibility: A Critical Review of Five Decades' Evidence , 2004 .

[48]  Gary I. Green,et al.  Effects of Decision Support Systems Training and Cognitive Style on Decision Process Attributes , 1986, J. Manag. Inf. Syst..

[49]  B. Sternthal,et al.  Highly Credible Sources: Persuasive Facilitators or Persuasive Liabilities? , 1977 .

[50]  Ching-man Au Yeung,et al.  "Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews , 2014, Inf. Syst. Res..

[51]  Yaniv,et al.  Advice Taking in Decision Making: Egocentric Discounting and Reputation Formation. , 2000, Organizational behavior and human decision processes.

[52]  SchuffDavid,et al.  What makes a helpful online review? a study of customer reviews on amazon.com , 2010 .

[53]  Leslie P. Willcocks,et al.  A new approach to automating services , 2016 .

[54]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

[55]  D. Eunpu Editorial introduction , 1993, Journal of Genetic Counseling.

[56]  Gary I Green,et al.  Effects of Decision Support Systems Training and Cognitive Style on Decision Process Attributes , 1986, J. Manag. Inf. Syst..

[57]  Donald R. Jones,et al.  The division of labor between human and computer in the presence of decision support system advice , 2002, Decis. Support Syst..

[58]  Martin D. Goslar,et al.  Capability Criteria for Marketing Decision Support Systems , 1986, J. Manag. Inf. Syst..