ON THE RELATIONSHIP BETWEEN HCI AND TECHNOLOGY ACCEPTANCE RESEARCH - Human-Computer Interaction and Management Information Systems: Foundations - page 382

One key challenge that MIS and HCI researchers must attend to in order to strengthen the syn-
ergy is to clarify the theoretical relationship between the construct of usability from the HCI litera-
ture and the constructs of perceived usefulness and ease of use from the MIS literature. As Seffah
and Metzker (2004) point out, usability remains an ill-defined and confusing concept. Narrowly
defined, objective usability appears to function as a determinant of perceived ease of use (Venkatesh,
2000). However, other criteria such as satisfaction, learnability, performance, and effectiveness are
frequently subsumed under the label of usability (Seffah and Metzker, 2004). From my perspective,
the most important contribution of TAM has been to highlight the relatively important role of per-
ceived usefulness compared to perceived ease of use as a driver and predictor of user acceptance.
Treating usability as a catchall concept invites failure to distinguish usefulness from ease of use as
an important design criterion. HCI research in MIS has the promise of bringing together HCI
insights about how to design systems that are easy to use with MIS insights about how to design sys-
tems that are useful to, accepted by, and effective for their intended users.
REFERENCES
Ajzen, I., and Fishbein, M. Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ:
Prentice-Hall, 1980.
Bailey, J.E., and Pearson, S.W. Development of a tool for measuring and analyzing computer user satisfac-
tion. Management Science , 29, 5 (1983), 530-545.
Card, S.K.; Moran, T.P.; and Newell, A. The keystroke-level model for user performance time with interac-
tive systems. Communications of the ACM , 23, 7 (1980), 396-410.
Churchill, G.A. A paradigm for developing better measures of marketing constructs. Journal of Marketing
Research , 16, 1 (1979), 64-73.
Davis, F.D. A Technology Acceptance Model for Empirically Testing New End-User Information Systems:
Theory And Results. PhD dissertation, Massachusetts Institute of Technology, 1986.
Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS
Quarterly , 13, 3 (1989), 319-339.
Davis, F.D.; Bagozzi, R.P.; and Warshaw, P.R. User acceptance of computer technology: a comparison of
two theoretical models. Management Science , 35, 8 (1989), 982-1002.
Davis, F.D., and Venkatesh, V. Toward preprototype user acceptance testing of new information systems:
Implications for software project management. IEEE Transactions of Engineering Management , 51, 1
(2004), 31-46.
Ginzberg, M.J. Early diagnosis of MIS implementation failure: promising results and unanswered questions.
Management Science, 27, 4 (1981), 459-478.
Gould, J.D.; Conti, J.; and Hovanyecz, T. Composing letters with a simulated listening typewriter. Commu-
nications of the ACM , 26, 4 (1983), 295-308.
Gould, J.D., and Lewis, C. Designing for usability—key principles and what designers think. Communications
of the ACM , 28, 3 (1985), 300-311.
Lee, Y.; Kozar, K.A.; and Larsen, K.R.T. The technology acceptance model: past, present, and future.
Communications of the AIS , 12, 50 (2003), 752-780.
Little, J.D.C. Models and managers: the concept of a decision calculus. Management Science , 16, 8 (1970),
B466-B485.
Markus, M.L. Power, politics, and MIS implementation. Communications of the ACM , 26, 6 (1983),
430-444.
Mathieson, K. Predicting user intentions: comparing the technology acceptance model with the theory of
planned behavior. Information Systems Research , 2, 3 (1991), 173-191.
Moore, G.C., and Benbasat, I. Development of an instrument to measure the perceptions of adopting an
information technology innovation. Information Systems Research , 2, 3 (1991), 192-222.
Robey, D. User attitudes and management information system use. Academy of Management Journal , 22, 3
(1979), 527-538.
Seffah, A., and Metzker, E. The obstacles and myths of usability and software engineering. Communications
of the ACM , 47, 12 (2004), 71-76.