The development and validation of a two-staged adoption model of RFID technology in livestock businesses
Abstract
Purpose Grounded on the technology-organization-environment (TOE) framework, the purpose of this paper is to develop a two-stage model of radio frequency identification (RFID) adoption in livestock businesses. RFID adoption is divided into two stages, acceptance and extension. It is argued that RFID adoption in livestock businesses is influenced by technological (interoperability, technology readiness), organizational (readiness, market scope), and environmental (competitive market pressure, data inconsistency) factors. Design/methodology/approach From a qualitative field study, along with the support of existing literature, the authors developed a research model, which was then validated with survey data of 318 livestock businesses in Australia. Data analysis used partial least squares structural equation modeling. Findings Empirical results showed that interoperability, organizational readiness, and competitive market pressure, and data inconsistency significantly influence acceptance of RFID technology in livestock businesses. In addition, the extended use of RFID is determined mainly by interoperability, technology readiness, organizational market scope, and data inconsistency. The results suggested differential effect of data inconsistency– it had a negative influence on RFID acceptance but a positive impact on the extent of its use. Originality/value This is one of the first studies to examine RFID adoption as a two-stage process. The theoretical basis was based on TOE framework and the factors were developed from a field study. The results of this study will provide insights for different livestock industry including technologists, farm managers, and market players.
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Pressure from trade partners and pressure from competitors are significant determinants of whether or not a corporation will use AI adoption.
“Hossain et al. (2017) and Malik et al. (2021) discovered that pressure from trade partners and pressure from competitors are significant determinants of whether or not a corporation will use AI adoption.”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Hossain et al., 2017
PLS-SEM allows analysis with small sample sizes.
“The PLS-SEM statistical tool is used for analysis purpose, which even allows us to run the small sample size (Hossain et al., 2017; Malik et al., 2021)”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Hossain et al., 2017
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- Authors
- Hossain, M. A., Standing, C., & Chan, C.
- Affiliations
- RMIT University (AU)
- Edith Cowan University (AU)
- Venue
- Information Technology & People
- Publisher
- Emerald
- Published
- 2017-11-06
- Volume
- 30
- Issue
- 4
- Pages
- 785-808
- ISSN
- 0959-3845 (ISSN-L)
- OpenAlex
- W2762174909
- Cited by
- 47
- References
- 62
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 8 · 2022: 11 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 1
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Technology and People (publishedVersion)
- Edith Cowan University Research Online (Edith Cowan University) (submittedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Engineering › Media Technology › RFID technology advancements
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Keywords
- RFID adoption, livestock industry, technology-organization-environment framework, technology acceptance, technology extension, interoperability, technology readiness, organizational readiness, market scope, data inconsistency
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