Construct · 6 names · 10 citations

Where does effort expectancy collide?

Different names. Different fields. One construct. One map.

● jangle · four names, one construct Nearest construct by meaningperceived ease of usecompare the meanings
How to read this

Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to effort expectancy is perceived ease of use.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

POOLED AS EE (2003)ITEMS BORROWED FROM PEOUeffortexpectancy6 NAMESUTAUTUTAUT · UTAUT2 · EXTENDEDTAMTAM · TAM2 · TAM3Diffusion theoryROGERS · PCI SCALEPC utilizationTRIANDIS · UTILIZATIONHCINIELSEN · ISO 9241-11Social cognitiveBANDURA · SELF-EFFICACY

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2026

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UTAUT & its extensions

the degree of ease associated with using a system, merging perceived ease of use and complexity from parent models.

The degree of ease associated with the use of the system, Venkatesh, Morris, Davis, and Davis's 2003 definition, written to absorb perceived ease of use, complexity, and ease of use from three parent models. The four items were taken from those parents, and the construct predicted intention only in the early periods of use, more strongly for women and older workers; once experience accumulated it dropped out. UTAUT2 in 2012 kept the name and the items for consumers, where it stayed significant. The construct is defined as a belief about the system, not as a property of the system and not as a belief about oneself, which is what separates it from the two neighbours at the bottom of this map.[1][2]

Unit
A user's belief about how easy a specific system is to use
Recovery means
Not applicable
Measured by
Four Likert items on clarity, skill acquisition, ease of use, and ease of learning
Scales indexed for this construct
  • UTAUT effort expectancy (EE)Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D., 2003 · ease of using and learning the system4 items

Technology acceptance model

the degree to which a person believes that using a particular system would be free of effort.

The degree to which a person believes that using a particular system would be free of effort, Davis's 1989 definition, built and validated alongside perceived usefulness in the same paper. Davis wrote fourteen candidate items, pruned them to six, and found ease of use predicted use less strongly than usefulness did and largely through it. Venkatesh's 2000 study of its determinants showed that computer self-efficacy, perceptions of external control, computer anxiety, and playfulness anchor it before experience and objective usability adjusts it afterwards. The definition and the UTAUT one differ in nothing but the word effort.[3][4]

Unit
A user's belief about a specific system and the effort it demands
Recovery means
Not applicable
Measured by
Six Likert items on learning, controllability, clarity, flexibility, skill, and ease
Scales indexed for this construct
  • Perceived ease of use (PEOU)Davis, F. D., 1989 · freedom from effort in using the system6 items

Innovation diffusion theory

how difficult an innovation is perceived to be to use, reverse-scored and renamed ease of use.

The degree to which an innovation is perceived as being difficult to use, reversed, Moore and Benbasat's 1991 rendering of Rogers's complexity attribute for the Perceived Characteristics of Innovating instrument. They renamed the attribute ease of use, and by their own account adapted the items from Davis's perceived-ease-of-use scale after their own candidates failed to separate from it. The scale arrived in information systems already merged with the TAM construct; the theory behind it is diffusion across a population rather than acceptance by an individual, and that is the only difference.[5]

Unit
An adopter's perception of an innovation's difficulty
Recovery means
Not applicable
Measured by
Ease-of-use subscale of the PCI

Model of PC utilization

the degree to which an innovation is perceived as relatively difficult to understand and use.

The degree to which an innovation is perceived as relatively difficult to understand and use, Thompson, Higgins, and Howell's 1991 construct, taken from Rogers and placed in Triandis's theory of interpersonal behaviour. The model predicted actual utilization of personal computers rather than intention, and complexity had a negative effect on it. Complexity is ease of use with the sign flipped and a different outcome in front of it; the items ask about the time it takes to learn, the mechanics of use, and the difficulty of getting results.[6]

Unit
A user's belief about how hard a PC is to understand and use
Recovery means
Not applicable
Measured by
Complexity items on learning time, mechanical difficulty, and time cost of use

Human–computer interaction

the extent to which specified users can use a product to achieve specified goals with effectiveness, efficiency, and satisfaction.

The extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use, the ISO 9241-11 definition, fixed in 1998. Nielsen's 1993 textbook had already decomposed it into learnability, efficiency, memorability, errors, and satisfaction, and made it something engineers test on tasks rather than something users rate on a questionnaire. Hornbæk's 2006 review of 180 studies found the field measuring it with task time, error counts, and completion rates as often as with self-report. This is a property of the system measured by observing behaviour; effort expectancy is a belief about the system measured by asking. Venkatesh's 2000 model treats the first as an input to the second.[7][8][9]

Unit
A system's fitness for specified users, goals, and context
Recovery means
Task completion within effectiveness, efficiency, and satisfaction thresholds
Measured by
Task time, error rate, completion rate, and post-task satisfaction ratings

Social cognitive theory

a person's judgement of their own capability to use a computer, a belief about the person rather than the system.

A judgement of one's capability to use a computer, Compeau and Higgins's 1995 application of Bandura's self-efficacy to computing, with a ten-item scale that asks how confident a person is that they could complete a task with an unfamiliar package under decreasing levels of help. The belief is about the person, not the system, and it predicts outcome expectations, affect, anxiety, and use. Venkatesh showed in 2000 that it is the strongest anchor of perceived ease of use before experience. Neighbour, not synonym: a confident user can still find a given system hard, and the items make the referent explicit.[10][4]

Unit
A person's judgement of their own capability with computers
Recovery means
Not applicable
Measured by
Ten-item confidence scale with graded levels of assistance
Scales indexed for this construct
  • Computer self-efficacy (CSE)Compeau, D. R., & Higgins, C. A., 1995 · confidence in completing a task with an unfamiliar software package10 items

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Nearby collisions

perceived ease of use6 names · 14 citationsjangle · six names, one constructperformance expectancy6 names · 11 citationsjangle · six names, one constructperceived usefulness6 names · 9 citationsjangle · six names, one construct

References

  1. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  2. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
  3. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  4. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
  5. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
  6. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143. https://doi.org/10.2307/249443
  7. International Organization for Standardization. (1998). Ergonomic requirements for office work with visual display terminals (VDTs): Part 11: Guidance on usability (ISO 9241-11:1998). ISO.
  8. Nielsen, J. (1993). Usability engineering. Academic Press. https://doi.org/10.1016/c2009-0-21512-1
  9. Hornbæk, K. (2006). Current practice in measuring usability: Challenges to usability studies and research. International Journal of Human-Computer Studies, 64(2), 79–102. https://doi.org/10.1016/j.ijhcs.2005.06.002
  10. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688

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