E-tailers versus retailers

[1]  S. Addelman.  Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments , 1962 .

[2]  J. H. Ward.  Hierarchical Grouping to Optimize an Objective Function , 1963 .

[3]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[4]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[5]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[6]  Seymour Sudman,et al.  Improving the Quality of Shopping Center Sampling , 1980 .

[7]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[8]  Edward Blair,et al.  Sampling Issues in Trade Area Maps Drawn from Shopper Surveys , 1983 .

[9]  James T. Low,et al.  A Monté Carlo Simulation Study of Two Approaches for Aggregating Conjoint Data , 1983 .

[10]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[11]  Joseph F. Hair,et al.  An Assessment of the Mall Intercept as a Data Collection Method , 1985 .

[12]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[13]  Michael R. Solomon,et al.  Predictability and Personalization in the Service Encounter , 1987 .

[14]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[15]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[16]  Julie Clacy,et al.  In line. , 1988, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[17]  William L. Moore,et al.  Measuring preferences with hybrid conjoint analysis: The impact of a different number of attributes in the master design , 1988 .

[18]  Jordan J. Louviere,et al.  Analyzing Decision Making: Metric Conjoint Analysis , 1988 .

[19]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[20]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[21]  Paul E. Green,et al.  Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice , 1990 .

[22]  Paul E. Green,et al.  Segmenting Markets with Conjoint Analysis , 1991 .

[23]  I. Ajzen.  The theory of planned behavior , 1991 .

[24]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[25]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[26]  I. Ajzen,et al.  A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action , 1992 .

[27]  Pratibha A. Dabholkar.  Role of Affect and Need For Interaction in On-Site Service Encounters , 1992 .

[28]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[29]  Rajan Nataraajan.  Prediction of choice in a technically complex, essentially intangible, highly experiential, and rapidly evolving consumer product , 1993 .

[30]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[31]  Richard P. Bagozzi,et al.  A comparison of leading theories for the prediction of goal‐directed behaviours , 1995 .

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

[33]  R. B. Johnson.  Estimating an Evaluation Utilization Model Using Conjoint Measurement and Analysis , 1995 .

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

[35]  Shirley Taylor,et al.  Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions , 1995 .

[36]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[37]  P. A. Dabholkar.  Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality , 1996 .

[38]  P. Sopp.  Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[39]  Alan Forrester.  Mr R.A. Forrester responds , 1998 .

[40]  S. Balasubramanian.  Mail Versus Mall: a Strategic Analysis of Competition Between Direct Marketers and Conventional Retailers , 1998 .

[41]  Rose Sebastianelli,et al.  The state of online retailing , 2003, Internet Res..

[42]  P. Linn,et al.  Implications for Research and Practice , 2003 .