Trust and Cloud Services - An Interview Study

Uusitalo, Ilkka; Karppinen, Kaarina; Juhola, Arto; Savola, Reijo

doi:10.1109/cloudcom.2010.41

Cited by 23 publications

(13 citation statements)

References 12 publications

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“…Within highly bureaucratic, multi-layered and complex public service structures in developing countries (and elsewhere), the lack of a governance framework which addresses particular challenges of outsourced infrastructure is yet another gap, potentially requiring further improvization to fill. Whereas evaluation and management of the shared risks and rewards has been a central concern of the IT outsourcing literature from the outset (Lacity & Willcocks, 1998), particularly risks associated with loss of control, these themes also dominate concerns relating to cloud computing (Chow et al, 2009;Julisch & Hall, 2010;Uusitalo, Karppinen, Juhola, & Savola, 2010).…”

Section: Conceptual Background On Improvization and Outsourcing Of Inmentioning

confidence: 98%

Models for Online Computing in Developing Countries: Issues and Deliberations

Jolliffe

Poppe

Adaletey

et al. 2014

Information Technology for Development

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The implementation of computerized health information systems (HIS) across the African continent has had mixed success over the past 20 years. Many countries have been left with non-functional systems which cannot be adapted to meet current health information demands because funding is exhausted, the source code for legacy systems is not available and the challenge of maintaining complex and distributed systems in resource-poor environments has simply proved too great. The expansion of Internet connectivity in Africa has enabled a new model of provisioning systems using the web which may prove to be more robust and scalable. This paper uses the case of a new web-based HIS in Ghana to illustrate the opportunities and challenges of this new model. We discuss how the HIS in Ghana was materialized through an act of "improvized outsourcing" according to Ciborra [(1999). Notes on improvisation and time in organizations. Accounting, Management and Information Technologies, 9(2), 77-94], improvization is called upon in urgent situations "when plans and procedures fail" (p. 77). Such an urgent situation took place in Ghana when the data center intended for hosting of the HIS server was not operational in time for the national rollout. Through an act of improvization, hosting of the server was outsourced to a private company in Accra. Silva (2002) [Outsourcing as an improvisation: A case study in Latin America. The Information Society, 18(2), 129-138] argues that power is essential in understanding why outsourcing improvizations succeed or fail, and in light of this we discuss what empowering factors that enabled the successful improvization in Ghana and the role of improvization and outsourcing for the long-term sustainability of system.

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Section: Conceptual Background On Improvization and Outsourcing Of Inmentioning

confidence: 98%

Models for Online Computing in Developing Countries: Issues and Deliberations

Jolliffe

Poppe

Adaletey

et al. 2014

Information Technology for Development

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“…Often, losing this control exposes the depending party to a considerable risk if internal, sensitive data is divulged or (time-critical) services are not being rendered adequately by the provider. In order to overcome this significant challenge, consumers have to be put in a position where they can reliably assess the dependability of a service provider [3]. At the same time, service providers have to be able to truthfully represent their dependability.…”

Section: Hindrances For Cloud Adoptionmentioning

confidence: 99%

“…These parameters are identified based on the state- of-the-art survey of threats and risks discussed in [12]. Moreover, a recent article [3] published a list of functional and non-functional trust affectors based on a extensive survey conducted among the Cloud entities. This survey clearly shows the consumers' interest and need of reckoning the trust affectors for establishing trust on Cloud providers.…”

Section: Qos+ Parameters For Tr Modelsmentioning

confidence: 99%

“…However, there can be huge differences regarding the provided quality level of those services. Thus, there will be a need to reliably identify the dependable service providers in such a competitive marketplace [3]. The ability to do so will establish confidence of the consumers in adopting http://www.journalofcloudcomputing.com/content/1/1 /19 cloud-based services and support consumers in selecting the appropriate service providers.…”

Section: Introductionmentioning

confidence: 99%

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Trust as a facilitator in cloud computing: a survey

Habib

Hauke

Ries

et al. 2012

Journal of Cloud Computing: Advances, Systems and Applications

106

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Cloud computing offers massively scalable, elastic resources (e.g., data, computing power, and services) over the internet from remote data centres to the consumers. The growing market penetration, with an evermore diverse provider and service landscape, turns Cloud computing marketplaces a highly competitive one. In this highly competitive and distributed service environment, the assurances are insufficient for the consumers to identify the dependable and trustworthy Cloud providers. This paper provides a landscape and discusses incentives and hindrances to adopt Cloud computing from Cloud consumers' perspective. Due to these hindrances, potential consumers are not sure whether they can trust the Cloud providers in offering dependable services. Trust-aided unified evaluation framework by leveraging trust and reputation systems can be used to assess trustworthiness (or dependability) of Cloud providers. Hence, cloud-related specific parameters (QoS+) are required for the trust and reputation systems in Cloud environments. We identify the essential properties and corresponding research challenges to integrate the QoS+ parameters into trust and reputation systems. Finally, we survey and analyse the existing trust and reputation systems in various application domains, characterizing their individual strengths and weaknesses. Our work contributes to understanding 1) why trust establishment is important in the Cloud computing landscape, 2) how trust can act as a facilitator in this context and 3) what are the exact requirements for trust and reputation models (or systems) to support the consumers in establishing trust on Cloud providers.

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“…In the interview study on cloud services by Uusitalo, Karppinen, Juhola, and Savola (, p. 71) it was found that “Brand, Reputation, Image, History, and Name were seen as the most important aspects [for judging the cloud service], raised by half of the interviewees.” We withhold this information in our provider‐less cloud condition to study the effects on the privacy decision‐making process.…”

mentioning

confidence: 99%

The effect of personalization provider characteristics on privacy attitudes and behaviors: An Elaboration Likelihood Model approach

Kobsa

Cho

Knijnenburg

2016

Asso for Info Science & Tech

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Many computer users today value personalization but perceive it in conflict with their desire for privacy. They therefore tend not to disclose data that would be useful for personalization. We investigate how characteristics of the personalization provider influence users' attitudes towards personalization and their resulting disclosure behavior. We propose an integrative model that links these characteristics via privacy attitudes to actual disclosure behavior. Using the Elaboration Likelihood Model, we discuss in what way the influence of the manipulated provider characteristics is different for users engaging in different levels of elaboration (represented by the user characteristics of privacy concerns and self‐efficacy). We find particularly that (a) reputation management is effective when users predominantly use the peripheral route (i.e., a low level of elaboration), but much less so when they predominantly use the central route (i.e., a high level of elaboration); (b) client‐side personalization has a positive impact when users use either route; and (c) personalization in the cloud does not work well in either route. Managers and designers can use our results to instill more favorable privacy attitudes and increase disclosure, using different techniques that depend on each user's levels of privacy concerns and privacy self‐efficacy.

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Trust and Cloud Services - An Interview Study

Cited by 23 publications

References 12 publications

Models for Online Computing in Developing Countries: Issues and Deliberations

Models for Online Computing in Developing Countries: Issues and Deliberations

Trust as a facilitator in cloud computing: a survey

The effect of personalization provider characteristics on privacy attitudes and behaviors: An Elaboration Likelihood Model approach

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