Consumer Decision-Making and Configuration Systems

Configuring complex products and services can be challenging for users. Due to the complexity of the underlying decision tasks, decisions are often influenced by different types of decision biases. Such biases can move users toward unintended results and are often the major reason for suboptimal decisions. In this chapter, we provide an overview of different types of decision biases, which can be of relevance for tasks related to configuration processes.

[1]  J. Jacoby,et al.  Brand Choice Behavior as a Function of Information Load , 1974 .

[2]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[3]  Fei Liu,et al.  An internet-based product customization system for CIM , 2005 .

[4]  Alexander Felfernig,et al.  Consumer decision making in knowledge-based recommendation , 2009, Journal of Intelligent Information Systems.

[5]  S. Asch Forming impressions of personality. , 1946, Journal of Abnormal Psychology.

[6]  Alexander Felfernig,et al.  Automated repair of scoring rules in constraint-based recommender systems , 2013, AI Commun..

[7]  Charles F. Hofacker,et al.  Primacy and Recency Effects on Clicking Behavior , 2006, J. Comput. Mediat. Commun..

[8]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[9]  Alexander Felfernig,et al.  Knowledge-Based Configuration: From Research to Business Cases , 2014 .

[10]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[11]  Gerhard Friedrich,et al.  Product Configuration Systems: State of the Art, Conceptualization and Extensions , 2004 .

[12]  Haiyang Yang,et al.  Consumer Decision Making , 2015 .

[13]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[14]  J. Baron,et al.  Status-quo and omission biases , 1992 .

[15]  Gerhard Friedrich,et al.  Impacts of Decoy Effects on the Decision Making Ability , 2010, 2010 IEEE 12th Conference on Commerce and Enterprise Computing.

[16]  Alexander Felfernig,et al.  Towards recommending configurable offerings , 2010 .

[17]  J. Mazanec,et al.  Consumer decision making. , 1994 .

[18]  Alexander Felfernig,et al.  Calculating Decoy Items in Utility-Based Recommendation , 2009, IEA/AIE.

[19]  William Samuelson,et al.  Status quo bias in decision making , 1988 .

[20]  Alexander Felfernig,et al.  The asymmetric dominance effect and its role in e-tourism recommender applications , 2009 .

[21]  Alexander Schwartz,et al.  Decision Analysis And Behavioral Research , 2016 .

[22]  Gerhard Friedrich,et al.  An Integrated Environment for the Development of Knowledge-Based Recommender Applications , 2006, Int. J. Electron. Commer..

[23]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[24]  Alexander Felfernig,et al.  Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[25]  Alexander Felfernig,et al.  Recommendation Technologies for Configurable Products , 2011, AI Mag..

[26]  Alexander Felfernig,et al.  Persuasion in Knowledge-Based Recommendation , 2008, PERSUASIVE.

[27]  Bradley N. Miller,et al.  GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.

[28]  D. Kahneman,et al.  Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias , 1991 .

[29]  Alexander Felfernig,et al.  Status quo bias in configuration systems , 2011, IEA/AIE'11.

[30]  A. Tversky,et al.  Choice in Context: Tradeoff Contrast and Extremeness Aversion , 1992 .

[31]  Alexander Felfernig,et al.  Decoy Effects in Financial Service E‐Sales Systems , 2011, RecSys 2011.

[32]  B. Kahn,et al.  Variety for sale: Mass customization or mass confusion? , 1998 .

[33]  R. G. Crowder Principles of learning and memory , 1977 .

[34]  Nicholas Epley,et al.  When the best appears to be saved for last: Serial position effects on choice , 2009 .

[35]  Christopher P. Puto,et al.  Adding Asymmetrically Dominated Alternatives: Violations of Regularity & the Similarity Hypothesis. , 1981 .

[36]  Hermann Ebbinghaus (1885) Memory: A Contribution to Experimental Psychology , 2013, Annals of Neurosciences.

[37]  John Riedl,et al.  Is seeing believing?: how recommender system interfaces affect users' opinions , 2003, CHI '03.