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Workplace literacy skills—how information and digital literacy affect adoption of digital technology
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Purpose: Information and digital literacy have recently received much interest, and they are being viewed as critical strategic organisational resources and skills that employees need to obtain in order to function at their workplaces. Yet, the role of employees' literacy seems to be neglected in current literature. This paper aims to explore the roles that information and digital literacy play on the employees' perception in relation to usefulness and ease of use of digital technologies and consequently their intention to use technology in the practices they perform at the workplace. Design/methodology/approach: This paper builds a conceptual model with key constructs (information literacy and digital literacy) as new antecedents to the technology acceptance model and aims to establish that information literacy and digital literacy are indirect determinants of employees' intention to use digital technologies at the workplace. The data set used in this paper comprises of 121 respondents and structural equation modelling was used. Findings: The findings reveal that both information literacy and digital literacy have a direct impact on perceived ease of use of technology but not on the perceive usefulness. The findings also show that both literacies have an indirect impact on the intention to use digital technology at work via attitude towards use. Practical implications: Managers and decision-makers should pay close attention to the literacy levels of their staff. Because literacies are such an important skillset in the digital age, managers and chief information officers may want to start by identifying which work groups or individuals require literacy training and instruction, and then provide specific and relevant training or literacy interventions to help those who lack sufficient literacy. Originality/value: This is one of the first studies to consider information literacy and digital literacy as new antecedents of the technology acceptance model at the workplace environment.
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“We further dropped one item about collaboration and included 8 seven-point Likert items that focus on individuals' digital literacy (Omega = .90).”
From College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspective (2026) · cites this paper as Nikou et al. (2022)
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Metadata
- Authors
- Nikou, S., De Reuver, M., & Mahboob Kanafi, M.
- Affiliations
- Åbo Akademi University (FI)
- Delft University of Technology (NL)
- Corresponding author
- Nikou, Shahrokh
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 2022-05-03
- Volume
- 78
- Issue
- 7
- Pages
- 371-391
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W4280544081
- Cited by
- 257
- References
- 86
- Citations by year
- 2026: 76 · 2025: 82 · 2024: 56 · 2023: 41 · 2022: 2
- FWCI
- 37.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Documentation (publishedVersion, cc-by)
- Research Repository (Delft University of Technology) (submittedVersion)
- Åbo Akademi University Research Portal (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Digital literacy in education
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Keywords
- information literacy, digital literacy, workplace literacy, technology acceptance model, intention to use, perceived usefulness, perceived ease of use, attitude toward using technology, employee technology adoption, literacy training
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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