article

Perceived usefulness, ease of use and electronic supermarket use

Authors:

Megan J. DivettAuthors Info & Claims

International Journal of Human-Computer Studies, Volume 59, Issue 3

Pages 383 - 395

https://doi.org/10.1016/S1071-5819(03)00079-X

Published: 01 September 2003 Publication History

Abstract

Information Technology has permeated many facets of work life in industrialized nations. With the expansion of Internet access we are now witnessing an expansion of the use of information technology in the form of electronic commerce. This current study tests the applicability of one prominent information technology uptake model, the Technology Acceptance Model (Int. J. Man Mach. Stud. 38 (1993) 475), within an electronic commerce setting. Specifically, the relationship between the perceived ease of use, usefulness and three electronically recorded indicators of use were assessed within the context of an electronic supermarket. A total of 247 participants completed the attitudinal measures. Electronically recorded indicators of use in the form of deliveries, purchase value and number of log-ons to the system were also recorded for the month the participants completed the questionnaire and 6 further months. Results indicated that the Technology Acceptance Model could be successfully applied to an electronic supermarket setting, providing empirical support for the ability of the Technology Acceptance Model to predict actual behaviour. The Technology Acceptance Model explained up to 15% of the variance in the behavioural indicators through perceived ease of use and usefulness of the system. However, the perceived ease of use of the system did not uniquely contribute to the prediction of behaviour when usefulnes's was considered, indicating a mediation effect. Future research should now focus on product and service attributes to more fully explain the use of electronic commerce services.

References

[1]

Ajzen, I., 1988. Attitudes, Personality and Behavior. Open University Press, Milton Keyness.]]

[2]

Ajzen, I., Fishbein, M., 1980. Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs, NJ.]]

[3]

Baron, R., Kenny, D., 1986. The mediator-moderator variable distinction in social psychological research: conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology 51, 1173-1182.]]

[4]

Clegg, C., Axtell, C., Damodaran, L., Farbey, B., Hull, R., Lloyd-Jones, R., Nicholls, J., Sell, R., Tomlinson, C., 1997. Information technology: a study of performance and the role of human and organisational factors. Ergonomics 40, 851-871.]]

[5]

Comrey, A.L., Lee, H.B., 1992. A First Course in Factor Analysis, 2nd Edition. Erlbaum, Hillsdale, NJ.]]

[6]

Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13, 319-340.]]

Digital Library

[7]

Davis, F.D., 1993. User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man Machine Studies 38, 475-487.]]

Digital Library

[8]

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989a. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Psychology 22, 1111-1132.]]

[9]

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989b. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35, 982-1003.]]

Digital Library

[10]

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22, 1111-1132.]]

[11]

Deane, F., Podd, J., Henderson, R., 1998. Relationship between self-report and log data estimates of information system usage. Computers in Human Behavior 14, 621-636.]]

[12]

Dipboye, R.L., Smith, C.S., Howell, W.C., 1994. Understanding Industrial and Organizational Psychology: An Integrated Approach. Harcourt Brace & Company, Orlando, FL.]]

[13]

Doherty, N.F., King, M., 1998b. The importance of organisational issues in systems development. Information Technology and People 11, 104 123.]]

[14]

Fishbein, M., Ajzen, I., 1975. Belief, Attitude, Intention and Behavior: An Introduction to Research and Theory. Addison-Wesley, Reading, MA.]]

[15]

Garbarino, E., Johnson, M.S., 1999. The differant roles of satisfaction, trust, commitment in customer relationships. Journal of Marketing 63 (2), 70-87.]]

[16]

Gotlieb, J.B., Grewal, D., Brown, S.W., 1994. Consumer satisfaction and perceived quality: complementary or divergent constructs? Journal of Applied Psychology 79 (6), 875-885.]]

[17]

Hornby, P., Clegg, C., Robson, J., Maclaren, C., Richardson, S., O'brien, P., 1992. Human and organizational issues in information systems development. Behaviour and Information Technology 11, 160-174.]]

[18]

Howard, A., 1995. The Changing Nature of Work. Jossey Bass, San Fransisco.]]

[19]

Igbaria, M., Schiffman, S.J., Wieckowski, T.J., 1994. The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behavior and Information Technology 13, 349-361.]]

[20]

Igbaria, M., Parasuraman, S.J., Baroudi, J.J., 1996. A motivational model of microcomputer usage. Journal of Management Information Systems 13, 127-143.]]

Digital Library

[21]

Korunka, C., Weiss, A., Zauchner, S., 1997. An interview study of 'continuous' implementations of information technology. Behaviour and Information Technology 16, 3-16.]]

[22]

Long, R., 1987. New Office Information Technology: Human and Managerial Implications. Croom Helm, London.]]

[23]

Lucas, H., 1975. Why Information Systems Fail. Columbia University Press, New York.]]

[24]

Mathieson, K., 1991. Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research 2, 173-191.]]

Digital Library

[25]

Maute, M., Forrester, W., 1993. The structure and determinants of the consumer complaint intentions and behavior. Journal of Economic Psychology 14, 219-247.]]

[26]

Medcof, J.W., 1989. The effect of extent of use of information technology and job of the user upon task characteristics. Human Relations 42, 23-41.]]

[27]

Morieux, Y.V.H., Sutherland, E., 1988. The interaction between the use of information technology and organizational culture. Behaviour and Information Technology 7, 205-213.]]

[28]

Nunnally, J., 1968. Psychometric Theory. McGraw-Hill Book Company, New York.]]

[29]

Oliva, T.A., Oliver, R.L., Macmillan, I.C., 1992. A catastrophe model for developing service satisfaction. Journal of Marketing 56 (3), 83-95.]]

[30]

Oliver, R.L., 1980. A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research 17, 460-469.]]

[31]

Paré, G., Elam, J.J., 1995. Discretionary use of personal computers by knowledge workers: testing of a social psychological theoretical model. Behaviour and Information Technology 14, 215-228.]]

[32]

Reichheld, F.F., 1993. Loyalty-based management. Harvard Business Review 71, 64-73.]]

[33]

Roberts, P., Henderson, R., 2000. Information technology acceptance in a sample of government employees: a test of the technology acceptance model. Interacting with Computers 12, 427-443.]]

[34]

Shani, A.B., Sena, J.A., 1994. Information technology and the integration of change: sociotechnical system approach. Journal of Applied Behavioural Science 30, 247-270.]]

[35]

Swanson, E.B., 1974. Management information systems: appreciation and involvement. Management Science 21, 178-188.]]

Digital Library

[36]

Taylor, S., Todd, P.A., 1995. Understanding information technology usage: a test of competing models. Information Systems Research 6, 144-176.]]

Digital Library

[37]

Thompson, R.L., Higgins, C.A., Howell, J.M., 1994. Influence of experience on personal computer utilization: testing a conceptual model. Journal of Management Information Systems 11, 167-187.]]

Digital Library

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Manzoor SMalarvizhi CHaque R(2024)Revisiting the Extended IoT Use Behavior Model Among Senior NCD Patients for Smart Healthcare in MalaysiaInternational Journal of Service Science, Management, Engineering, and Technology10.4018/IJSSMET.34991115:1(1-25)Online publication date: 7-Aug-2024
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Index Terms

Perceived usefulness, ease of use and electronic supermarket use
1. Applied computing

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cover image International Journal of Human-Computer Studies

International Journal of Human-Computer Studies Volume 59, Issue 3

September 2003

136 pages

ISSN:1071-5819

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Academic Press, Inc.

United States

Publication History

Published: 01 September 2003

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Cited By

Manzoor SMalarvizhi CHaque R(2024)Revisiting the Extended IoT Use Behavior Model Among Senior NCD Patients for Smart Healthcare in MalaysiaInternational Journal of Service Science, Management, Engineering, and Technology10.4018/IJSSMET.34991115:1(1-25)Online publication date: 7-Aug-2024
https://dl.acm.org/doi/10.4018/IJSSMET.349911
Adeel ASajid Mohy Ul din Ahmed KKhan SHanif HDaghriri Y(2023)Citizens' Intentions to Adopt Innovative E-Government ServicesInternational Journal of E-Entrepreneurship and Innovation10.4018/IJEEI.32778713:1(1-20)Online publication date: 9-Aug-2023
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Shi JLiu MFu GDai X(2023)Internet use among older adultsComputers in Human Behavior10.1016/j.chb.2022.107538139:COnline publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.chb.2022.107538
Guo LLi ZZhou YWu MLiao YCao C(2022)Interaction Design of New Media Reading Platforms Based on Value Co-CreationProceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology10.1145/3549843.3549860(111-117)Online publication date: 25-Jun-2022
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Liu DGuo X(2017)Exploring gender differences in acceptance of mobile computing devices among college studentsInformation Systems and e-Business Management10.1007/s10257-016-0315-x15:1(197-223)Online publication date: 1-Feb-2017
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Emmanuel EN. M(2017)A User Interface for Micro‐Entrepreneurs in a Rural CommunityThe Electronic Journal of Information Systems in Developing Countries10.1002/j.1681-4835.2010.tb00306.x43:1(1-19)Online publication date: 5-Dec-2017
Walldén SMäkinen ERaisamo R(2016)A review on objective measurement of usage in technology acceptance studiesUniversal Access in the Information Society10.1007/s10209-015-0443-y15:4(713-726)Online publication date: 1-Nov-2016
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