Opportunities and risks of software-as-a-service: Findings from a survey of IT executives

Benlian, Alexander; Heß, Thomas

doi:10.1016/j.dss.2011.07.007

Cited by 422 publications

(336 citation statements)

References 54 publications

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“…With CC, companies can tap into the expertise of innovative IT companies such as SAP to remain at the forefront of technology. Evidence from a sample of German companies using SAAS gives some support for this view, although perceived cost benefits still seem to be stronger (Benlian and Hess, 2011). The benefits are likely to depend on the type of applications outsourced, i.e.…”

Section: Demand For CCmentioning

confidence: 85%

“…With the exception of Benlian and Hess (2011), studies on CC have had a technical and/or non-empirical approach. Hence, CC as a field presents a large research potential.…”

Section: Directions For Further Researchmentioning

confidence: 99%

“…Leimeister et al, 2010, Benlian andHess, 2011). Although, a substantial number of studies already exist on CC, it is still unclear how or whether CC differs from the traditional but not necessarily successful concept of Information Technology Outsourcing (ITO) (Barthelemy, 2001, Lacity et al, 2009.…”

Section: Introductionmentioning

confidence: 99%

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Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Yigitbasioglu¹,

MacKenzie²,

Low³

2013

IJDAR

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Abstract. The purpose of this paper is to provide an evolutionary perspective of cloud computing (CC) by integrating two previously disparate literatures: CC and information technology outsourcing (ITO). We review the literature and develop a framework that highlights the demand for the CC service, benefits, risks, as well as risk mitigation strategies that are likely to influence the success of the service. CC success in organisations and as a technology overall is a function of (i) the outsourcing decision and supplier selection, (ii) contractual and relational governance, and (iii) industry standards and legal framework. Whereas CC clients have little control over standards and/or the legal framework, they are able to influence other factors to maximize the benefits while limiting the risks. This paper provides guidelines for (potential) cloud computing users with respect to the outsourcing decision, vendor selection, service-level-agreements, and other issues that need to be addressed when opting for CC services. We contribute to the literature by providing an evolutionary and holistic view of CC that draws on the extensive literature and theory of ITO. We conclude the paper with a number of research paths that future researchers can follow to advance the knowledge in this field.

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Section: Demand For CCmentioning

confidence: 85%

“…With the exception of Benlian and Hess (2011), studies on CC have had a technical and/or non-empirical approach. Hence, CC as a field presents a large research potential.…”

Section: Directions For Further Researchmentioning

confidence: 99%

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Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Yigitbasioglu¹,

MacKenzie²,

Low³

2013

IJDAR

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“…These capabilities are: a controlled interface, location independence, sourcing independence, ubiquitous access, virtual business environments, addressability and traceability, and rapid elasticity. Benlian and Hess [6] studied IT executives' perceptions of the opportunities and risks of SaaS. They found that security threats were the most dominating factor in risk perception, whereas the cost advantages of SaaS were the strongest driver for SaaS adoption.…”

Section: Opportunities Provided By Cloud Servicesmentioning

confidence: 99%

“…It has been shown that cloud computing and related services can bring about important technical benefits and business advantages [5,6,17,20,34]. The studies in question have mainly focused on the opportunities provided by cloud services, and not on how these opportunities can be recognized and exploited.…”

Section: Introductionmentioning

confidence: 99%

Opportunity Discovery and Creation in Cloud Computing

Ojala

Puhakka

2013

2013 46th Hawaii International Conference on System Sciences

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The impact of the representatives of three types of process modeling tools on modeler's perceptions and performance

Polančič

Jošt

2015

J. Softw. Evol. and Proc.

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The quality of process diagrams as well as modelers' performance depends on used modeling tools, which have evolved over past years, also because of changes in software design and architecture. In our research we quantitatively and qualitatively investigated modelers' perceptions and performance when using the representatives of three types of process modeling tools in regard to type of work. A within‐subjects experiment was conducted, where we comparatively observed modelers' perceptions and modeling times when using different modeling tools. For testing the stated hypotheses, the results from 126 experimental participants were analyzed using a one‐way variance analysis. We found that modelers perform their tasks significantly faster with a web tool in case of collaborative work. In addition, we found that participants preferred desktop tool for individual modeling mostly because of its ease of use, whereas in the case of collaborative modeling, participants favored web tool's collaborative functions. Both of them outperformed the representative generic diagraming tool in all given circumstances. The results could be used as guidelines for designing future modeling tools and for modelers who are searching for the most appropriate modeling tools. Copyright © 2015 John Wiley & Sons, Ltd.

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Opportunities and risks of software-as-a-service: Findings from a survey of IT executives

Cited by 422 publications

References 54 publications

Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Opportunity Discovery and Creation in Cloud Computing

The impact of the representatives of three types of process modeling tools on modeler's perceptions and performance

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