Decision support system (DSS) use and decision performance: DSS motivation and its antecedents

Abstract We developed an experimental decision support system (DSS) that enabled us to manipulate DSS performance feedback and response time, measure task motivation and DSS motivation, track the usage of the DSS, and obtain essential information for assessing decision performance through conjoint analysis. The results suggest the mediating role of DSS use in the relationship between DSS motivation and decision performance. Further, DSS motivation is highest in the presence of high task motivation, more positive DSS performance feedback, and fast DSS response time. The findings have important implications for both DSS research and practice.

[1]  MalhotraYogesh,et al.  How Endogenous Motivations Influence User Intentions , 2008 .

[2]  B. Scheibehenne,et al.  Less may be more when choosing is difficult: choice complexity and too much choice. , 2010, Acta psychologica.

[3]  John T. Guthrie,et al.  Modeling the effects of intrinsic motivation, extrinsic motivation, amount of reading, and past reading achievement on text comprehension between U.S. and Chinese students , 2004 .

[4]  Izak Benbasat,et al.  Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection , 1999, Inf. Syst. Res..

[5]  Joseph S. Valacich,et al.  The Influence of Task Interruption on Individual Decision Making: An Information Overload Perspective , 1999 .

[6]  V. Vroom Work and motivation , 1964 .

[7]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[8]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[9]  Lilach Sagiv,et al.  The role of epistemic motivation in individuals’ response to decision complexity , 2013 .

[10]  Siew H. Chan The roles of user motivation to perform a task and decision support system (DSS) effectiveness and efficiency in DSS use , 2009, Comput. Hum. Behav..

[11]  Eddie W. L. Cheng,et al.  SEM being more effective than multiple regression in parimonious model testing for management development research , 2001 .

[12]  Izak Benbasat,et al.  The Use of Information in Decision Making: An Experimental Investigation of the Impact of Computer-Based Decision Aids , 1992, MIS Q..

[13]  Siew H. Chan,et al.  The paradoxical effects of feedback and reward on decision performance , 2009 .

[14]  William J. Doll,et al.  Developing a multidimensional measure of system-use in an organizational context , 1998, Inf. Manag..

[15]  Dimiter M. Dimitrov,et al.  Testing for Factorial Invariance in the Context of Construct Validation , 2010 .

[16]  E. Deci,et al.  Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. , 2000, Contemporary educational psychology.

[17]  J. Eccles,et al.  Expectancy-Value Theory of Achievement Motivation. , 2000, Contemporary educational psychology.

[18]  Sandra Slaughter,et al.  Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects , 2006, Manag. Sci..

[19]  John W. Payne,et al.  Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .

[20]  Henry L. Tosi,et al.  Examining the Unique Effects of Multiple Motivational Sources on Task Performance , 2003 .

[21]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[22]  Thomas L. Daniel,et al.  Intrinsic motivation as influenced by rewards, task interest, and task structure. , 1980 .

[23]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.

[24]  Margaret Tan,et al.  The consequences of information technology acceptance on subsequent individual performance , 1997, Inf. Manag..

[25]  J. Eccles,et al.  Motivational beliefs, values, and goals. , 2002, Annual review of psychology.

[26]  Kenneth S. Law,et al.  Toward A Taxonomy of Multidimensional Constructs , 1998 .

[27]  Niv Ahituv,et al.  The Effects of Time Pressure and Completeness of Information on Decision Making , 1998, J. Manag. Inf. Syst..

[28]  Naomi Eisenstein,et al.  Effects of Contractual, Endogenous, or Unexpected Rewards on High and Low Interest Preschoolers , 1985 .

[29]  S. Deshpande,et al.  Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction , 1994 .

[30]  Iris Vessey,et al.  The effect of information presentation on decision making: A cost-benefit analysis , 1994, Inf. Manag..

[31]  Gerald L. Lohse,et al.  An Information Search Cost Perspective for Designing Interfaces for Electronic Commerce , 1999 .

[32]  Xi Zhang,et al.  Attracted to or Locked In? Predicting Continuance Intention in Social Virtual World Services , 2012, J. Manag. Inf. Syst..

[33]  Thomas W. Malone,et al.  Toward a Theory of Intrinsically Motivating Instruction , 1981, Cogn. Sci..

[34]  R. Kanfer Motivation theory and industrial and organizational psychology. , 1990 .

[35]  Alan R. Dennis,et al.  Information foraging on the web: The effects of "acceptable" Internet delays on multi-page information search behavior , 2006, Decis. Support Syst..

[36]  Christina M. Finneran,et al.  A Person-Artifact-Task Model of Flow Antecedents within Computer-Mediated Environments , 2003 .

[37]  P. Green,et al.  Thirty Years of Conjoint Analysis: Reflections and Prospects , 2001 .

[38]  R. Vandenberg,et al.  A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .

[39]  Joan L. Duda,et al.  Psychological antecedents of the frequency and intensity of flow in golfers. , 1997 .

[40]  Diane M. Strong,et al.  Affect and acceptance: Examining the effects of positive mood on the technology acceptance model , 2010, Decis. Support Syst..

[41]  Venkatesh,et al.  Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood. , 1999, Organizational behavior and human decision processes.

[42]  Barry M. Staw,et al.  Self-perception of intrinsic and extrinsic motivation. , 1975, Journal of personality and social psychology.

[43]  Jakob Nielsen,et al.  Designing web usability , 1999 .

[44]  Elena Karahanna,et al.  The Effect of Social Capital of the Relationship Between the CIO and Top Management Team on Firm Performance , 2013, J. Manag. Inf. Syst..

[45]  Dennis F. Galletta,et al.  When the Wait Isn't So Bad: The Interacting Effects of Website Delay, Familiarity, and Breadth , 2006, Inf. Syst. Res..

[46]  Agnés Durrande-Moreau,et al.  Waiting for service: ten years of empirical research , 1999 .

[47]  Mark I. Hwang,et al.  Decision making under time pressure: A model for information systems research , 1994, Inf. Manag..

[48]  Suck,et al.  Stress Caused by Waiting: A Theoretical Evaluation of a Mathematical Model , 1997, Journal of mathematical psychology.

[49]  A SlaughterSandra,et al.  Understanding the Motivations, Participation, and Performance of Open Source Software Developers , 2006 .

[50]  J. Eccles,et al.  In the Mind of the Actor: The Structure of Adolescents' Achievement Task Values and Expectancy-Related Beliefs , 1995 .

[51]  Thomas Hess,et al.  Differential Effects of Provider Recommendations and Consumer Reviews in E-Commerce Transactions: An Experimental Study , 2012, J. Manag. Inf. Syst..

[52]  Jie Zhang,et al.  Analyzing the influence of website design parameters on website usability , 2005 .

[53]  Izak Benbasat,et al.  Inducing compensatory information processing through decision aids that facilitate effort reduction: an experimental assessment , 2000 .

[54]  Ping Zhang,et al.  A person-artefact-task (PAT) model of flow antecedents in computer-mediated environments , 2003, Int. J. Hum. Comput. Stud..

[55]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[56]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[57]  Paul Goodwin,et al.  Feedback-labelling synergies in judgmental stock price forecasting , 2004, Decis. Support Syst..

[58]  J. A. Walsh,et al.  Measurement and structural invariance of parent ratings of ADHD and ODD symptoms across gender for American and Malaysian children. , 2006, Psychological assessment.

[59]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[60]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[61]  Viswanath Venkatesh,et al.  Creating an effective training environment for enhancing telework , 2000, Int. J. Hum. Comput. Stud..

[62]  Viswanath Venkatesh,et al.  Enterprise System Implementation and Employee Job Performance: Understanding the Role of Advice Networks , 2014, MIS Q..

[63]  Detmar W. Straub,et al.  Reconceptualizing System Usage: An Approach and Empirical Test , 2006, Inf. Syst. Res..

[64]  Waldemar Karwowski,et al.  Top Ten Mistakes in Web Design , 2006 .

[65]  Gad Saad Information Reacquisition in Sequential Consumer Choice , 1998 .

[66]  M. F. Luce,et al.  When time is money : Decision behavior under opportunity-cost time pressure , 1996 .

[67]  J. Douglas Carroll,et al.  Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[68]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[69]  Soussan Djamasbi,et al.  Does positive affect influence the effective usage of a Decision Support System? , 2007, Decis. Support Syst..

[70]  Allan Wigfield,et al.  Expectancy-value theory of achievement motivation: A developmental perspective , 1994 .

[71]  Izak Benbasat,et al.  The effects of decision support and task contingencies on model formulation: A cognitive perspective , 1996, Decis. Support Syst..

[72]  Ramesh Sharda,et al.  Decision support system effectiveness: a review and an empirical test , 1988 .

[73]  Naresh K. Malhotra,et al.  Predicting System Usage from Intention and Past Use: Scale Issues in the Predictors , 2005, Decis. Sci..

[74]  Kai H. Lim,et al.  The impact of presentation media on decision making: does multimedia improve the effectiveness of feedback? , 2005, Inf. Manag..

[75]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[76]  H. Zur,et al.  The effect of time pressure on risky choice behavior , 1981 .

[77]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[78]  J. Eccles Expectancies, values and academic behaviors , 1983 .

[79]  D. A. Kenny,et al.  Power Anomalies in Testing Mediation , 2014, Psychological science.

[80]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[81]  Wilbert J. McKeachie,et al.  College student intrinsic and/or extrinsic motivation and learning , 2003 .

[82]  J. Carroll,et al.  Guest Editorial: Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[83]  B. Kuvaas Performance appraisal satisfaction and employee outcomes: mediating and moderating roles of work motivation , 2006 .

[84]  T. Grandon Gill,et al.  Expert Systems Usage: Task Change and Intrinsic Motivation , 1996, MIS Q..

[85]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[86]  M. Lepper,et al.  When choice is demotivating: Can one desire too much of a good thing? , 2000 .

[87]  Robin M. Hogarth,et al.  Cognitive Processes and the Assessment of Subjective Probability Distributions , 1975 .

[88]  S. West,et al.  Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models , 2005 .

[89]  Eleanor T. Loiacono-Mello,et al.  Do men and women use feedback provided by their Decision Support Systems (DSS) differently , 2008, Decis. Support Syst..

[90]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[91]  Izak Benbasat,et al.  An Investigation of the Effectiveness of Color and Graphical Information Presentation Under Varying Time Constraints , 1986, MIS Q..

[92]  Qian Song,et al.  The moderating roles of subjective (perceived) and objective task complexity in system use and performance , 2015, Comput. Hum. Behav..

[93]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[94]  Kennon M. Sheldon,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Motivating Learning, Performance, and Persistence: The Synergistic Effects of Intrinsic Goal Contents and Autonomy-Supportive Contexts , 2004 .

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

[96]  Monideepa Tarafdar,et al.  Analyzing the Influence of Web Site Design Parameters on Web Site Usability , 2005, Inf. Resour. Manag. J..

[97]  Dennis F. Galletta,et al.  How Endogenous Motivations Influence User Intentions: Beyond the Dichotomy of Extrinsic and Intrinsic User Motivations , 2008, J. Manag. Inf. Syst..

[98]  B. Schwartz,et al.  Doing Better but Feeling Worse , 2006, Psychological science.

[99]  Fiona Fui-Hoon Nah,et al.  A study on tolerable waiting time: how long are Web users willing to wait? , 2004, AMCIS.