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Top1. Introduction
Cloud computing present’s new economic and flexible business and technological models. In essence, cloud computing is a form of outsourcing whereby organisations typically outsource data, software, infrastructure, business and platform services. As a result, organisations place significant trust in other organisations to deliver a service. The explosive uptake of dynamic service solutions has fuelled the growth of cloud services. However, to support cloud providers and users, it is critical that decisions regarding sourcing service capabilities are informed through some system of cloud service analytics. One critical element of decision-making is based on trust. The nature of risk and reward may differ within a cloud computing context (Carroll and Helfert, 2015) when compared to the traditional outsourcing environment (Lacity and Hirschheim, 1993). While risk has been well documented throughout outsourcing literature, for example, using frameworks such as COBIT 5, trust has not received similar attention within a cloud computing context. Trust encourages us to rely on a person or entity to generate some concept of value and sustains a relationship. Cloud brokerage can support companies to sustain business relationships. Cloud brokerage comprises of a third-party business which acts as an intermediary between the purchaser of a cloud computing service and the sellers of a particular service. Considering that cloud brokerage is a relatively new service model, trust can play a vital role in the transition towards cloud services. Trust places reliance on a person or entity which generates some concept of value towards the sustainability of relationships. In this paper, the author examines the concept of trust within a cloud context from a conceptual perspective. The paper demonstrates how social network analysis (SNA) presents us with an innovative technique to model trust across cloud brokerage networks. SNA allows us to reconsider how we design and model cloud service networks with particular interest in introducing service metrics to visualise and measure the value of cloud brokerage networks. Nair et al. (2010, p.192) explain that a cloud service broker “creates a governed and secure cloud management platform to simplify the delivery of complex cloud services to cloud service customers”. This emphasises the need to understand the concept of trust and model the factors which enable customers to realise the full potential in availing of newfound cloud services. It also supports companies to enforce the correct service level agreements (SLAs) and IT policies between cloud providers and cloud service consumers. The literature suggests that there are many concerns about weak trust relationships across a service value web especially with regard to ‘on-demand’ service models which can have unforeseen consequences on their business activities (for example, Pearsons, 2011; Capgemini, 2012). The contribution of this work is the application of SNA to model trust relationships across a cloud brokerage service network. In doing so, the author introduces the Cloud Service Trust Model to explain the dynamics of trust. This work contributes towards our understanding of cloud service dependability and the establishment of cloud-specific service quality metrics.