Cited by 1,772Technology Adoption and User BehaviourInformation Systems Theories and ImplementationUsability and User Interface Design

Extending the technology acceptance model with task–technology fit constructs

Dishaw, Mark T, Strong, Diane M·1999·Information & Management

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Crossref · 10.1016/s0378-7206(98)00101-3

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6 of 6 references verified0 citation errors · 0 not checkable

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  • A positive task-technology-fit (TTF) environment within an organization is positively related with HRM (AI) extension.

    “Research Proposition 2 (a-d): A positive task -technology-fit (TTF) environment within an organization is positively related with HRM (AI) (a)initiation, (b)adoption, (c)routinization, and (d)extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Dishaw & Strong, 1999

  • A positive task-technology-fit (TTF) environment within an organization is positively related with HRM (AI) adoption.

    “Research Proposition 2 (a-d): A positive task -technology-fit (TTF) environment within an organization is positively related with HRM (AI) (a)initiation, (b)adoption, (c)routinization, and (d)extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Dishaw & Strong, 1999

  • A positive task-technology-fit (TTF) environment within an organization is positively related with HRM (AI) initiation.

    “Research Proposition 2 (a-d): A positive task -technology-fit (TTF) environment within an organization is positively related with HRM (AI) (a)initiation, (b)adoption, (c)routinization, and (d)extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Dishaw & Strong, 1999

  • A positive task-technology-fit (TTF) environment within an organization is positively related with HRM (AI) routinization.

    “Research Proposition 2 (a-d): A positive task -technology-fit (TTF) environment within an organization is positively related with HRM (AI) (a)initiation, (b)adoption, (c)routinization, and (d)extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Dishaw & Strong, 1999

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Authors
Dishaw, M. T., & Strong, D. M.
Affiliations
  • University of Wisconsin–Oshkosh (US)
  • Worcester Polytechnic Institute (US)
Corresponding author
Dishaw, Mark T
Venue
Information & Management
Publisher
Elsevier BV
Published
1999-07
Volume
36
Issue
1
Pages
9-21
ISSN
0378-7206 (ISSN-L)
OpenAlex
W2098481455
Cited by
1,772
References
6
Citations by year
2026: 52 · 2025: 109 · 2024: 54 · 2023: 66 · 2022: 77 · 2021: 84 · 2020: 69 · 2019: 75 · 2018: 72 · 2017: 62 · 2016: 72 · 2015: 102 · 2014: 89 · 2013: 94 · 2012: 101
FWCI
36.88
Type
journal article
Language
en
Open access
closed
Locations
Information & Management (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Keywords
technology acceptance model, task-technology fit, perceived usefulness, perceived ease of use, software utilization, user performance

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