Social influence and end-user training

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Social influence and end-user training

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Communications of the ACM archive
Volume 38 , Issue 7 (July 1995) table of contents

Pages: 70 - 79

Year of Publication: 1995

ISSN:0001-0782

Authors

Dennis F. Galletta	Business Administration, Katz Graduate School of Business, University Pittsburgh
Manju Ahuja	Management Information Systems, University of Pittsburgh
Amir Hartman	Katz School, University of Pittsburgh
Thompson Teo	National University of Singapore, Department of Decision Sciences, 10 Kent Ridge Crescent, Singapore 0511
A. Graham Peace	Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 90, Citation Count: 9

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references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Ajzen, I., and Fishbein, M. Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewod Cliffs, NJ, 1980.
	2	Bearden, W.O., Netemeyer, R.G., and Teel, J.E. Measurement of consumer susceptibility to interpersonal influence. J. Consumer Research 15, (1989), 473-481.
	3	Robert P. Bostrom , Lorne Olfman , Maung K. Sein, The importance of learning style in end-user training, MIS Quarterly, v.14 n.1, p.101-119, March 1990 [doi>10.2307/249313]
	4	Brancheau, J. C., and Wetherbe, J. C. The adoption of spreadsheet software: Testing innovation diffusion theory in the context of end-user computing, lnfo. Syst. Research 1, 2 (1990), 115-143.
	5	Stuart K. Card , Allen Newell , Thomas P. Moran, The Psychology of Human-Computer Interaction, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 1983
	6	Carroll, J.M., Smith-Kerker, P.L., Ford, J.R., and Mazur-Rimetz, S.A. The minimal manual. Human-Computer Int. 3, 2 (1987-88), 123-154.
	7	Davis, S.A., and Bostrom, R.P. Training end users: An experimental investigation of the roles of the computer interface and training methods. MISQj 17, 1 (1993), 61-85.
	8	DeLone, W.H., and McLean, E.R. Information systems success: The quest for the dependent variable, lnfo. Syst. Research 3, 1 (1992), 60-95.
	9	Feick L.F., and Higie, R.A. The effects of preference heterogeneity and source characteristics on Ad processing and judgments about endorsers.J. Advertising, XX/, 2 (June, 1992), 9-23.
	10	Galletta, D.F., Abraham, D., E1 Louadi, M., Lekse, W., Pollalis, Y., and Sampler, J. An empirical study of spreadsheet errorfinding performance. Accounting, Management, and Information Technology, 3, 2 (1993), 79-95.
	11	Ginzberg, M.J. Early diagnosis of MIS implementation failure. Manage. Sci. 27, 4 (1981), 459-478.
	12	Hays, W.L. Statistics, 2nd. ed. Holt, Rinehart, and Winston, NY, 1988.
	13	Herr, P.M., Kardes, F.R., and Kim, J. Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. J. Consumer Research 17, (1991), 454-462.
	14	Mathieson, K. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Info. Syst. Research 2, 3 (Sept. 1991), 173-191.
	15	Thomas P. Moran, Guest Editor's Introduction: An Applied Psychology of the User, ACM Computing Surveys (CSUR), v.13 n.1, p.1-11, March 1981 [doi>10.1145/356835.356836]
	16	Lorne Olfman, A comparison of applications-based and construct-based training methods for dss generator software, 1987
	17	Olfman, L. and Bostrom, R.P. End-user software training: An experimental comparison of methods to enhance motivation. J. Info. Syst. 1, 4 (1991), 249-266.
	18	Oliver, R.L. and DeSarbo, W.S. Response determinants to satisfaction judgments. J. Consumer Research 14 (Mar. 1988), 495-507.
	19	Petty, R.E., and Cacioppo, J.T. The elaboration likelihood model of persuasion, in L. Berkowitz, Ed., Advances in Experimental Social Psychology, 19, Academic Press, NY, 1986.
	20	Richins, M.L. Negative word-of-mouth by dissatisfied consumers: A pilot study.J, of Marketing, 47 (Winter 1983), 68-78.
	21	Rogers, E.M. Diffusion oflnnovations 3rd ed. Free Press (Macmillan publishing), NY, 1983.
	22	Maung Kyaw Sein , Robert P. Bostrom, Conceptual models in training novice users of computer systems: effectiveness of abstract vs. analogical models and influence of individual differences, 1988
	23	Tse, D.K., and Wilton, P.C. Models of consumer satisfaction formation: An extension. J. Marketing Research, 25 (May 1988), 204-212.
	24	Vessey, I., and Galletta, D.F. Cognitive fit: An empirical study of information acquisition, lnfo. Syst. Research 2, 1 (1991), 63-84.
	25	Webster, C. Influences upon consumer expectations of services.J. Services Marketing5, 1, (Winter 1991) 5-17.

CITED BY 9

	Weidong Xia , Gwanhoo Lee, The influence of persuasion, training and experience on user perceptions and acceptance of IT innovation, Proceedings of the twenty first international conference on Information systems, p.371-384, December 2000, Brisbane, Queensland, Australia
	Gary Hackbarth , Varun Grover , Mun Y. Yi, Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use, Information and Management, v.40 n.3, p.221-232, January 2003
	Kwasi Amoako-Gyampah , A. F. Salam, An extension of the technology acceptance model in an ERP implementation environment, Information and Management, v.41 n.6, p.731-745, July 2004
	Michael J. Gallivan, Examining workgroup influence on technology usage: a community of practice perspective, Proceedings of the 2000 ACM SIGCPR conference on Computer personnel research, p.54-66, April 2000, Chicago, Illinois, United States
	Jaeki Song , Fatemeh Mariam Zahedi, A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model, Management Science, v.51 n.8, p.1219-1235, August 2005
	Khaled Hassanein , Milena Head, The Impact of Infusing Social Presence in the Web Interface: An Investigation Across Product Types, International Journal of Electronic Commerce, v.10 n.2, p.31-55, Number 2/Winter 2005-6
	David Kang , Radhika Santhanam, A Longitudinal Field Study of Training Practices in a Collaborative Application Environment, Journal of Management Information Systems, v.20 n.3, p.257-281, Number 3/Winter 2003
	Michael J. Gallivan , Valerie K. Spitler , Marios Koufaris, Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace, Journal of Management Information Systems, v.22 n.1, p.153-192, Number 1/Summer 2005
	Dinesh K. Gauri , Amit Bhatnagar , Raghav Rao, Role of word of mouth in online store loyalty, Communications of the ACM, v.51 n.3, March 2008