Construct · 6 names · 7 citations

Where does behavioral intention collide?

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

● jangle · five names, one construct Nearest construct by meaninguse behaviorcompare 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 behavioral intention is use behavior.

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.

PBC ADDED (1991)POOLED AS BI (2003)behavioralintention6 NAMESReasoned actionFISHBEIN · AJZEN · 1975Planned behaviourAJZEN · PBC · 1991ImplementationGOLLWITZER · IF–THENContinuanceBHATTACHERJEE · CONTINUEUTAUTUTAUT · UTAUT2 · EXTENDEDTAMDAVIS · BAGOZZI · WARSHAW

Spokes are the names and the models that coined them; dashed arcs are borrowings. Tap a field for its definition, unit, and measures.

2026

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Theory of reasoned action

a person's subjective probability of performing a specified behaviour, determined by attitude toward the behaviour and subjective norm.

A person's subjective probability that they will perform a specified behaviour, the single immediate determinant of that behaviour in Fishbein and Ajzen's 1975 model, itself determined by attitude toward the behaviour and subjective norm. The theory defined intention as a probability judgment and required that it be measured at the same level of specificity as the behaviour, with the same action, target, context, and time. Every name on the rest of this map descends from this one, and most of them keep the definition word for word.[1]

Unit
A person's judgment about a specified act at a specified time
Recovery means
Not applicable
Measured by
One or more items on likelihood of performing the behaviour, matched to the behaviour in action, target, context, and time

Theory of planned behaviour

how hard a person is willing to try, and how much effort they plan to exert, to perform a behaviour.

Indications of how hard people are willing to try, and how much effort they plan to exert, to perform a behaviour, Ajzen's 1991 gloss, which shifted intention from a probability to a motivational readiness. The theory added perceived behavioural control as a third antecedent so that behaviours not fully under volitional control could be predicted. Intention is measured with items on intending, planning, and trying. The construct is the same as reasoned action's; what changed is what stands beside it.[2]

Unit
A person's motivational readiness toward a specified act
Recovery means
Not applicable
Measured by
Three or more Likert items on intending, planning, and trying to perform the behaviour
Scales indexed for this construct
  • TPB intention items (INT)Ajzen, I., 1991 · readiness to perform a specified behaviour in a specified period3 items

Implementation intentions

a plan of the form if X arises, then I will do Y, so a pre-selected cue triggers the act.

A plan of the form if situation X arises, then I will do Y, Gollwitzer's 1999 construct, defined in explicit contrast to the goal intention (I intend to do Y) that every other name on this map refers to. A goal intention specifies an end state; an implementation intention delegates control of the act to a pre-selected cue, so that the behaviour is triggered without further deliberation. Gollwitzer's evidence is experimental: people told to form the plan attain the goal more often than people with the same goal intention and no plan. It sits on this page as the neighbour most often confused with the construct, and it is not the construct.[3]

Unit
A person's cue–response plan for a specified goal
Recovery means
Not applicable
Measured by
Whether a plan was formed (experimental manipulation) and subsequent goal attainment

Expectation-confirmation model

a user's intention to keep using an information system already adopted, predicted by satisfaction and post-usage perceived usefulness.

A user's intention to continue using an information system they have already adopted, Bhattacherjee's 2001 construct, modelled on consumer repurchase intention rather than on adoption. The model predicts it from satisfaction and post-usage perceived usefulness, with satisfaction driven by confirmation of expectations. The items ask about continuing versus discontinuing, and about continuing versus switching to an alternative. The definition is the acceptance construct with the word continue inserted, and Bhattacherjee's argument was that the insertion changes the antecedents.[4]

Unit
An existing user's judgment about continued use of a specific system
Recovery means
Not applicable
Measured by
Three Likert items on intending to continue, continuing rather than switching, and (reversed) discontinuing
Scales indexed for this construct
  • IS continuance intention (ISC)Bhattacherjee, A., 2001 · intention to keep using an adopted system rather than stop or switch3 items

UTAUT & its extensions

the outcome predicted from performance expectancy, effort expectancy, and social influence, which in turn predicts use behaviour.

The dependent variable that Venkatesh, Morris, Davis, and Davis's 2003 unified model predicts from performance expectancy, effort expectancy, and social influence, and that in turn predicts use behaviour alongside facilitating conditions. UTAUT took the three-item intention scale from TAM with the time horizon left in the items. UTAUT2 in 2012 kept the construct and its items for consumers, but let hedonic motivation, price value, and habit predict it, and let habit bypass it to affect use directly. The construct was never redefined; what grew was the list of things said to cause it.[5][6]

Unit
A user's judgment about future use of a specific system
Recovery means
Not applicable
Measured by
Three Likert items on intending, predicting, and planning to use the system in the next few months
Scales indexed for this construct
  • UTAUT behavioral intention (BI)Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D., 2003 · intention to use the system in a stated future period3 items

Technology acceptance model

the degree to which a person has formed conscious plans to perform or not perform a specified future behaviour.

The degree to which a person has formulated conscious plans to perform or not perform some specified future behaviour, the definition Davis, Bagozzi, and Warshaw took from Fishbein and Ajzen when they set TAM against the theory of reasoned action in 1989. The 1989 test measured intention twice, at introduction and fourteen weeks later, and found that intention predicted self-reported use and that usefulness, not attitude, was the main route to it. TAM's contribution was to make the antecedents system-specific; the intention construct arrived intact from social psychology.[7]

Unit
A user's plan about a specific system
Recovery means
Not applicable
Measured by
Two items on intending to use the system, with a stated time horizon

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Nearby collisions

performance expectancy6 names · 11 citationsjangle · six names, one constructacceptance6 fields · 14 citationsjingle · one name, six constructshabit5 fields · 9 citationsjingle · one name, five constructsimplementation intentions1 fields · 1 citationsanchor · a standalone construct

References

  1. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  3. Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54(7), 493–503. https://doi.org/10.1037/0003-066X.54.7.493
  4. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
  5. 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
  6. 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
  7. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

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