Adoption and Actual Usage of SaaS-Based Cloud Applications Among the Swedish SMEs—A TAM-TOE Integrated Perspective

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Muhammad Shehzad Hanif, Aitzaz Khurshid, Dariia Kulibaba, Ammaz Sajid
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引用次数: 0

Abstract

The cloud-based software-as-a-service (SaaS) model delivers corporate software to organizations as a service over the internet, minimizing investment in on-premises facilities and automatically adapting IT resources to meet demand variations. Integrating the two popular technology adoption frameworks, the technology acceptance model (TAM) and the technology, organization, and environment (TOE) framework, this study employs a structural equation modeling technique on a carefully chosen sample of 204 technology-intensive small and medium-sized enterprises (SMEs) in Sweden to investigate the effect of various antecedents on the intention and actual utilization of SaaS-based cloud applications. The results are counterintuitive regarding the relationship between perceived ease of use and intention and the inverse relationship between risk and trust. The central construct of TAM has an insignificant relationship with the intention to adopt SaaS applications, leading to substantial practical implications for Swedish SMEs. Similarly, a significant effect of trust with an insignificant impact of risk on intention challenges conventional wisdom. The novel integration of the two models also makes substantial theoretical contributions.

瑞典中小企业中基于saas的云应用的采用和实际使用——一个TAM-TOE集成视角
基于云的软件即服务(SaaS)模型通过互联网将企业软件作为服务交付给组织,从而最大限度地减少对内部部署设施的投资,并自动调整IT资源以满足需求变化。结合两种流行的技术采用框架——技术接受模型(TAM)和技术、组织和环境(TOE)框架,本研究采用结构方程建模技术,对精心挑选的204家瑞典技术密集型中小企业(sme)样本进行了研究,以调查各种前因对基于saas的云应用的意向和实际利用的影响。结果是反直觉的,关于感知易用性和意图之间的关系,以及风险和信任之间的反向关系。TAM的中心结构与采用SaaS应用程序的意图无关,这对瑞典中小企业具有重大的实际意义。同样,信任的显著影响与风险对意图的不显著影响挑战了传统智慧。两种模型的新颖整合也做出了实质性的理论贡献。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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