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Software as a service

About: Software as a service is a research topic. Over the lifetime, 8514 publications have been published within this topic receiving 136177 citations. The topic is also known as: Service as a Software Substitute & SaaSS.


Papers
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TL;DR: In this paper, the authors analyzed the opportunities and risks associated with adopting SaaS as perceived by IT executives at adopter and non-adopter firms, and found significant differences between adopters' and nonadopters' perceptions of specific risks and opportunities, such as performance and economic risks as well as quality improvements, and access to specialized resources.
Abstract: IT providers have heralded software-as-a-service (SaaS) as an excellent complement to on-premises software addressing the shortcomings of previous on-demand software solutions such as application service provision (ASP). However, although some practitioners and academics emphasize the opportunities that SaaS offers companies, others already predict its decline due to the considerable risk involved in its deployment. Ours is the first study to analyze the opportunities and risks associated with adopting SaaS as perceived by IT executives at adopter and non-adopter firms. We first developed a research model grounded in an opportunity-risk framework, which is theoretically embedded in the theory of reasoned action. Subsequently, we analyzed the data collected through a survey of 349 IT executives at German companies. Our findings suggest that in respect to both SaaS adopters and non-adopters, security threats are the dominant factor influencing IT executives' overall risk perceptions. On the other hand, cost advantages are the strongest driver affecting IT executives' perceptions of SaaS opportunities. Furthermore, we find significant differences between adopters' and non-adopters' perceptions of specific SaaS risks and opportunities, such as performance and economic risks as well as quality improvements, and access to specialized resources. Our study provides relevant findings to improve companies' assessment of SaaS offerings. It also offers SaaS providers insights into the factors that should be prioritized or avoided when offering SaaS services to companies at different stages of their technology adoption lifecycle.

404 citations

Patent
18 Apr 1996
TL;DR: In this article, a user who has purchased or downloaded free computer software calls an update service or a network service provider (e.g., an Internet provider) on a periodic basis.
Abstract: Creators of computer software provide the most up-to-date versions of their computer software on an update service. A user who has purchased or downloaded free computer software calls an update service or a network service provider (e.g., an Internet provider) on a periodic basis. The update or network service automatically inventories the user computer to determine what computer software (e.g., a network browser) may be out-of-date, and/or need maintenance updates. If so desired by the user, the update service computer automatically downloads with a secure software transfer process and installs computer software to the user computer. By making periodic calls to an update or network service, the user always has the most up-to-date computer software immediately available. The update or network service may also alert the user to new products (i.e. including new help files, etc.), and new and enhanced versions of existing products which can be purchased electronically by a user and transferred immediately from the update or network service.

393 citations

Journal ArticleDOI
Tuncay Ercan1
TL;DR: What the cloud computing infrastructure will provide in the educational arena, especially in the universities where the use of computers are more intensive and what can be done to increase the benefits of common applications for students and teachers are reviewed.

392 citations

Journal ArticleDOI
01 Dec 2011
TL;DR: This study is the first study to analyze the opportunities and risks associated with adopting SaaS as perceived by IT executives at adopter and non-adopter firms and suggests that security threats are the dominant factor influencing IT executives' overall risk perceptions.
Abstract: IT providers have heralded software-as-a-service (SaaS) as an excellent complement to on-premises software addressing the shortcomings of previous on-demand software solutions such as application service provision (ASP). However, although some practitioners and academics emphasize the opportunities that SaaS offers companies, others already predict its decline due to the considerable risk involved in its deployment. Ours is the first study to analyze the opportunities and risks associated with adopting SaaS as perceived by IT executives at adopter and non-adopter firms. We first developed a research model grounded in an opportunity-risk framework, which is theoretically embedded in the theory of reasoned action. Subsequently, we analyzed the data collected through a survey of 349 IT executives at German companies. Our findings suggest that in respect to both SaaS adopters and non-adopters, security threats are the dominant factor influencing IT executives' overall risk perceptions. On the other hand, cost advantages are the strongest driver affecting IT executives' perceptions of SaaS opportunities. Furthermore, we find significant differences between adopters' and non-adopters' perceptions of specific SaaS risks and opportunities, such as performance and economic risks as well as quality improvements, and access to specialized resources. Our study provides relevant findings to improve companies' assessment of SaaS offerings. It also offers SaaS providers insights into the factors that should be prioritized or avoided when offering SaaS services to companies at different stages of their technology adoption lifecycle.

385 citations

Proceedings ArticleDOI
23 May 2011
TL;DR: This paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations, designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines.
Abstract: Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and infrastructure level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

375 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202375
2022226
2021192
2020306
2019327
2018424