The development and validation of a two-staged adoption model of RFID technology in livestock businesses

Author:

Hossain Mohammad Alamgir,Standing Craig,Chan Caroline

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.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Reference74 articles.

1. Australian Farm Survey Results 2011-12 to 2013-14;ABARES,2014

2. Australian Farm Survey Results 2013-14 to 2015-16;ABARES,2016

3. ABC (2008), “Australia’s livestock industry meets over Russia ban”, available: www.radioaustralia.net.au/news/stories/200807/s2313053.htm (accessed November 16, 2009).

4. Factors impinging farmers’ use of agriculture technology;Asian Social Science,2013

5. Use of the internet on farms, Australia, 2007-08;ABS,2009

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring Antecedents of AI Adoption in Transforming HRM Practices in the Healthcare Industry;Advances in Healthcare Information Systems and Administration;2024-08-30

2. Navigating the fourth industrial revolution: a systematic review of technology adoption model trends;Journal of Science and Technology Policy Management;2024-08-06

3. Examining the Influence of Artificial Intelligence Implementation in HRM Practices Using T-O-E Model;Vision: The Journal of Business Perspective;2024-04-04

4. Should I adopt AI during talent acquisition? Evidence from HR professionals of Indian IT organisations;Journal of Organizational Effectiveness: People and Performance;2024-02-14

5. Supporting disaster relief operations through RFID: enabling visibility and coordination;The International Journal of Logistics Management;2024-01-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3