End-users’ acceptance of ’X as a Service’: Evidence from agriculture 4.0

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

With the rapid advancement of information technology, a new service model known as X as a Service has emerged. X can represent diverse resources such as platforms, infrastructure, farming, mobility, security, and more, allowing users to meet their needs flexibly and cost-effectively. The successful application of X as a Service heavily depends on end-users’ acceptance. This study explored the motivation factors for X as a Service based on the evidence from adopting Farming as a Service in Agriculture 4.0 among farmers in Northeastern China. We provided a theoretical framework for Farming as a Service adoption behavior, covering factors including personalization, perceived enjoyment, functionality, perceived risk, financial consequences, and perceived network externality. The effectiveness of the research model was assessed and validated through a two-stage procedural approach, utilizing partial least squares structural equation modeling. Results revealed that our proposed acceptance model for Farming as a Service exhibited a good model fit, accounting for 84.4 % of the variance in adoption intentions. Research findings highlighted that perceived network externality and functionality were the most influential factors in determining users’ adoption intentions for Farming as a Service. Conversely, perceived risk emerged as a significant negative factor influencing adoption. Furthermore, financial consequences, perceived enjoyment, and personalization also played crucial roles as determinants of user adoption. These findings offered valuable insights for service providers to improve their products, services, and marketing strategies.

最终用户对 "X 即服务 "的接受程度:来自农业 4.0 的证据
随着信息技术的飞速发展,一种被称为 "X 即服务 "的新型服务模式应运而生。X 可以代表平台、基础设施、农业、移动性、安全性等各种资源,让用户可以灵活而经济地满足自己的需求。X 即服务的成功应用在很大程度上取决于终端用户的接受程度。本研究以中国东北地区农民采用农业 4.0 中的 "农业即服务 "为基础,探讨了 "X 即服务 "的动机因素。我们为 "农业即服务 "的采用行为提供了一个理论框架,涵盖了个性化、感知乐趣、功能性、感知风险、财务后果和感知网络外部性等因素。利用偏最小二乘结构方程模型,通过两阶段程序方法对研究模型的有效性进行了评估和验证。结果表明,我们提出的 "农业即服务 "接受模型具有良好的模型拟合度,占采纳意愿方差的 84.4%。研究结果表明,感知到的网络外部性和功能性是决定用户采用 "农业即服务 "意愿的最有影响力的因素。相反,感知风险则是影响采用意愿的重要负面因素。此外,经济后果、感知到的乐趣和个性化也是决定用户采用的关键因素。这些发现为服务提供商改进其产品、服务和营销策略提供了宝贵的启示。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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