Although the service management field has developed and put forward new concepts, we have historically done a less effective job validating these concepts after their introduction. Given this issue, this study attempts to test and extend Parasuraman and Colby’s (2001) taxonomy of technology readiness. Their taxonomy (originally developed based on a U.S. sample) was replicated with a U.K. sample. This study’s replication partially supports their taxonomy of five types of customers based on their technology beliefs. The author found support for the existence of four of the five original clusters (explorers, pioneers, skeptics, andlaggards) but found no evidence of the existence of a fifth segment named paranoids. The author also identifies the themes that underlie the formation of the taxonomy, namely, technophobia and technological positivism. Finally, for each cluster, the relationships between technology readiness, demographics, current use, and future adoption of technology-based services are explored and compared.
Agarwal, R. and J. Prasad (1999), “Are Individual Differences Germane to the Acceptance of New Information Technologies?”Decision Sciences, 30 (2), 361-390.
2.
Ajzen, I. and M. Fishbein (1980), Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice Hall.
3.
Ajzen, I. and T. J. Madden (1986), “Prediction of Goal Directed Behaviors: Attitudes, Intentions, and Perceived Behavioral Control,”Journal of Experimental Social Psychology, 22, 453-474.
4.
Aldenderfer, M. S. and R. K. Blashfield (1984), Cluster Analysis. London: Sage.
5.
Arabie, P. and L. Huber (1994), “Cluster Analysis in Marketing Research,” in Advanced Methods in Marketing Research, R. P. Bagozzi, ed. Oxford, UK: Basil Blackwell, 160-189.
6.
Bacharach, S. B. (1989), “Organizational Theories: Some Criteria for Evaluation,”Academy of Management Review, 4 (4), 496-515.
7.
Barnes, G. James, Peter A. Dunne, and William J. Glynn (2000), “Self-Service and Technology: Unanticipated and Unintended Effects on Customer Relationships,” in Handbook of Services Marketing and Management, Teresa A. Swartz and Dawn Iacobucci, eds. Thousand Oaks, CA: Sage, 89-102.
8.
Blaug, M. (1992), The Methodology of Economics: Or How Economists Explain. New York: Cambridge University Press.
9.
Bower, G. H. and E. R. Hilgard (1981), Theories of Learning. Englewood Cliffs, NJ: Prentice Hall.
10.
Bozarth, Cecil and Chris McDermott (1998), “Configurations in Manufacturing Strategy: A Review and Directions for Future Research,”Journal of Operations Management, 16 (4), 427-439.
11.
Chang, Ai-Mei and P. K. Kannan (2002), “Preparing for Wireless and Mobile Technologies in Government,”IBM Center for the Business of Government, available at http:%5Cwww.businessofgovernment.org/publications_GrantDetails.asp?GID=118.
12.
Colby, C. L. (2002), “Techno-Ready Marketing of e-Services: Customer Beliefs About Technology and the Implications for Marketing of e-Services,” in e-Service: New Directions in Theory and Practice, R.T. Rust and P. K. Kannan, eds. Armonk, NY: M. E. Sharpe, 25-44.
13.
Curran, J. M., M. L. Meuter, and C. F. Surprenant (2003), “Intentions to Use Self-Service Technologies: A Confluence of Multiple Attitudes,”Journal of Service Research, 5 (3), 209-224.
14.
Davis, F. D. (1989), “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,”MIS Quarterly, 13 (3), 318-339.
15.
Dess, G., S. Newport, and A. M. Rasheed (1993), “Configuration Research in Strategic Management: Key Issues and Suggestions,”Journal of Management, 19, 775-795.
16.
Dewald, W. G., R. G. Thursby, and R. G. Anderson (1986), “Replication in Empirical Economics: The Journal of Money, Credit, and Banking Project,”American Economic Review, 76, 587-603.
17.
Flynn, B. B., S. Sakakibara, and R. G. Schroeder (1995), “Relationship between JIT and TQM: Practices and Performance,”Academy of Management Journal, 38 (5), 1325-1360.
18.
Flynn, B. B., S. Sakakibara, K. A. Bates, and E. J. Flynn (1990), “Empirical Research Methods in Operations Management,”Journal of Operations Management, 9 (2), 250-284.
19.
Frohlich, M. and R. R. Dixon (2001), “A Taxonomy of Manufacturing Strategies Revisited,”Journal of Operations Management, 19 (5), 541-558.
20.
Galbraith, C. and D. Schendel(1983), “An Empirical Analysis of Strategy Types,”Strategic Management Journal, 4 (2), 153-173.
21.
Gutek, B. A. and T. K. Bikson (1985), “Differential Experiences of Men and Women in Computerized Offices,”Sex Roles, 13 (3/4), 123-136.
22.
Hair, J. F., Jr., R. E. Anderson, R. L. Tatham, and W. C. Black (1995), Multivariate Data Analysis, 4th ed.Englewood Cliffs, NH: Prentice Hall.
23.
Harrison, A. W. and R. K. Rainer Jr. (1992), “The Influence of Individual Differences on Skill in End-User Computing,”Journal of Management Information Systems, 9 (1), 93-111.
24.
Hempel, G. C. (1966), Philosophy of Natural Science. Englewood Cliffs, NJ: Prentice Hall.
25.
Hofstede, Geert (1980), Culture’s Consequences: International Differences in Work-Related Values. Beverly Hills, CA: Sage.
26.
Howard, G. S. and R. Smith (1986), “Computer Anxiety in Management: Myth or Reality?”Communications of the ACM, 29 (7), 611-615.
27.
Hubbard, R. and J. S. Armstrong (1994), “Replications and Extensions in Marketing: Rarely Published but Quite Contrary,”International Journal of Research in Marketing, 11, 233-248.
28.
Hubbard, R. and D. E. Vetter (1996), “An Empirical Comparison of Published Replication Research in Accounting, Economics, Finance Management, and Marketing,”Journal of Business Research, 35, 153-164.
29.
Hubbard, R. and D. E. Vetter, and E. L. Little (1998), “Replication in Strategic Management: Scientific Testing for Validity, Generalizability, and Usefulness,”Strategic Management Journal, 19, 243-254.
30.
Igbaria, M. and S. Parasuraman (1989), “A Path Analytic Study of Individual Characteristics, Computer Anxiety, and Attitudes toward Microcomputers,”Journal of Management, 3, 373-388.
31.
Kane, E. J. (1984), “Why Journal Editors Should Encourage the Replication of Applied Economic Research?”Quarterly Journal of Business and Economics, 23, 3-8.
32.
Ketchen, D. and C. Shook (1996), “The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique,”Strategic Management Journal, 17 (6), 441-459.
33.
Ketchen, D., J. B. Thomas, and C. C. Snow (1993), “Organizational Configurations and Performance: A Comparison of Theoretical Approaches,”Academy of Management Journal, 36, 1278-1313.
34.
Kuhn, T. (1962), The Structure of Scientific Revolutions. Chicago: University of Chicago Press.
35.
Lindsay, R. M. (1994), “Publication System Biases Associated with the Statistical Testing Paradigm,”Contemporary Accounting Research, 11, 33-57.
36.
Lindsay, R. M. and A. S. C. Ehrenberg (1993), “The Design of Replicated Studies,”American Statistician, 47, 217-228.
37.
Madden, C. S., R. W. Easley, and M. G. Dunn (1995), “How Journal Editors View Replication Research,”Journal of Advertising, 24, 77-87.
38.
Majchrzak, A. and J. Cotton (1988), “A Longitudinal Study of Adjustment to Technological Change: From Mass to Computer-Automated Batch Production.”Journal of Occupational Psychology, 61, 43-66.
39.
Meyer, A., A. Tsui, and C. Hinings (1993), “Introduction: Configuration Approaches to Organizational Analysis,”Academy of Management Journal, 36 (6), 1175-1195.
40.
Moore, G. C. and I. Benbasat (1991), “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,”Information Systems Research, 2 (3), 192-222.
41.
Nelson, D. L. (1990). “Individual Adjustment to Information Driven Technologies: A Critical Review,”MIS Quarterly, 14 (1), 79-100.
42.
Nickel, G. S. and J. N. Pinto (1986), “The Computer Attitude Scale,”Computers in Human Behavior, 2, 301-306.
43.
Nunnally, J. C. (1978), Psychometric Theory, 2nd ed.New York: McGraw-Hill.
44.
Parasuraman, A. (2000), “Technology Readiness Index (TRI): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies,”Journal of Service Research, 2 (4), 307-320.
45.
Parasuraman, A. and C. L. Colby (2001), Techno-Ready Marketing: How and Why Your Customers Adopt Technology. New York: Free Press.
46.
Popper, K. (1978), Conjectures and Refutations. London: Routledge & Kegan Paul.
47.
Punj, G. and D. Stewart (1983), “Cluster Analysis in Marketing Research: Review and Suggestions,”Journal of Marketing Research, 20, 134-148.
48.
Raub, A. C. (1981), “Correlates of Computer Anxiety in College Students,” doctoral dissertation, University of Pennsylvania, Philadelphia.
49.
Rogers, E. M. (1995), Diffusion of Innovations, 4th ed.New York: Free Press.
50.
Rosenthal, R. and R. L. Rosnow (1984), Essentials of Behavioral Research: Methods and Data Analysis. New York: McGraw-Hill.
51.
Rust, Roland (2001), “Editorial: The Rise of E-Service,”Journal of Service Research, 3 (4), 283-284.
52.
Tsikriktsis, Nikos (2002), “Does Culture Influence Web Site Quality Expectations? An Empirical Study,”Journal of Service Research, 5 (2), 101-112.
53.
Zinkhan, G. M., E. A. Joachimsthaler, and T. C. Kinnear(1987), “Individual Differences and Marketing Decision Support System Usage and Satisfaction,”Journal of Marketing Research, 24 (2), 208-214.
54.
Zmud, R. W. (1979), “Individual Differences and MIS Success: A Review of the Empirical Literature,”Management Science, 25 (10), 966-979.
