Information Overload: Guidance for Identifying When Information Becomes Detrimental to Sales Force Performance

The sales literature reports that a greater number of offerings increase sales performance, but the enlarged product line should result in increased information requirements for salespeople. Strategies of sales force specialization imply that too much information can reduce sales performance. Yet theoretical and practical guidance regarding when information becomes detrimental to sales performance is sparse. Information overload theory is used to identify when performance suffers because of large amounts of information. The results of this study offer preliminary evidence that a self-report measure of information overload can offer guidance to sales managers in identifying when information becomes detrimental to sales force performance.

[1]  Thomas W. Leigh,et al.  Mapping the Procedural Knowledge of Industrial Sales Personnel: A Script-Theoretic Investigation , 1989 .

[2]  Alexander D. Stajkovic,et al.  Self-efficacy and work-related performance: A meta-analysis. , 1998 .

[3]  E. A. Locke The nature and causes of job satisfaction , 1976 .

[4]  H. Simon,et al.  Invariants of human behavior. , 1990, Annual review of psychology.

[5]  William L. Wilkie,et al.  Analysis of Effects of Information Load , 1974 .

[6]  Barton A. Weitz,et al.  Knowledge, motivation, and adaptive behavior : a framework for improving selling effectiveness , 1986 .

[7]  Mark W. Johnston,et al.  Churchill - Ford - Walker's Sales Force Management , 2005 .

[8]  Steven P. Brown,et al.  Effects of Trait Competitiveness and Perceived Intraorganizational Competition on Salesperson Goal Setting and Performance , 1998 .

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

[10]  Barton A. Weitz,et al.  Knowledge, Motivation, and Adaptive Behavior: A Framework for Improving Selling Effectiveness , 1986 .

[11]  Barton A. Weitz Effectiveness in sales interactions: A contingency framework. , 1981 .

[12]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

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

[14]  J. Sheth Buyer-Seller Interaction: a Conceptual Framework , 1975 .

[15]  Guangping Wang,et al.  The effects of job autonomy, customer demandingness, and trait competitiveness on salesperson learning, self-efficacy, and performance , 2002 .

[16]  B. Shiv,et al.  Heart and Mind in Conflict: The Interplay of Affect and Cognition in Consumer Decision Making , 1999 .

[17]  Peter M. Bentler,et al.  Estimates and tests in structural equation modeling. , 1995 .

[18]  Harish Sujan,et al.  Smarter versus Harder: An Exploratory Attributional Analysis of Salespeople's Motivation , 1986 .

[19]  J. G. Miller Living systems. , 1972, Currents in modern biology.

[20]  Mary Jo Bitner,et al.  Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters , 2000 .

[21]  E. A. Locke Social Foundations of Thought and Action: A Social-Cognitive View , 1987 .

[22]  Joseph O. Rentz,et al.  A Measure of Selling Skill: Scale Development and Validation , 2002 .

[23]  Kelly Tepper Tian,et al.  Consumers' Need for Uniqueness: Scale Development and Validation , 2001 .

[24]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[25]  J. Bettman An information processing theory of consumer choice , 1979 .

[26]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[27]  E. Feigenbaum Simon, Herbert A. , 2006 .

[28]  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.

[29]  Ajith Kumar,et al.  Knowledge structures and retail sales performance: An empirical examination. , 2000 .

[30]  D. Rindskopf,et al.  Some Theory and Applications of Confirmatory Second-Order Factor Analysis. , 1988, Multivariate behavioral research.

[31]  O. Ferrell,et al.  The Management of Customer-Contact Service Employees: An Empirical Investigation , 1996 .

[32]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[33]  Barton A. Weitz,et al.  Adaptive Selling: Conceptualization, Measurement, and Nomological Validity , 1990 .

[34]  Jule B. Gassenheimer,et al.  Bridging the Distance Between Us: How Initial Responses to Sales Team Conflict Help Shape Core Selling Team Outcomes , 2002 .

[35]  Barton A. Weitz,et al.  Personal selling and sales management: A relationship marketing perspective , 1999 .

[36]  Barton A. Weitz,et al.  Learning Orientation, Working Smart, and Effective Selling , 1994 .

[37]  Douglas N. Behrman,et al.  Measuring the performance of industrial salespersons , 1982 .

[38]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[39]  James S. Boles,et al.  How Salespeople Build Quality Relationships: A Replication and Extension , 2000 .

[40]  Greg W. Marshall,et al.  Salesperson Job Involvement: A Modern Perspective a New Scale , 2001 .

[41]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[42]  Kevin Lane Keller,et al.  Effects of Quality and Quantity of Information on Decision Effectiveness , 1987 .

[43]  David T. Wilson,et al.  An Experimental Analysis of a Salesman's Expert and Referent Bases of Social Power in the Buyer-Seller Dyad , 1976 .

[44]  N. Malhotra Information Load and Consumer Decision Making , 1982 .

[45]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[46]  J. Chowdhury The motivational impact of sales quotas on effort. , 1993 .

[47]  M. Lepper,et al.  The Construction of Preference: When Choice Is Demotivating: Can One Desire Too Much of a Good Thing? , 2006 .