Pierangelo Rosati

Twitter and the Irish language, #Gaeilge – agents and activities: exploring a data set with micro-implementers in social media

ABSTRACT This paper considers agentic-activities relating to the Irish language on Twitter and who is engaged with them? To answer this question, this study draws on Twitter data and filters it using the linguistic identifiers, ‘#Gaeilge’ and the word ‘Gaeilge’ (Irish language). Tweets with these identifiers are conceptually considered as formulations of agentic practice with respect to language (Sabatier, P. [2007]. Theories of the Policy Process. Boulder, CO: Westview Press). Individuals who use the #Gaeilge identifier in particular are viewed within this study as micro-implementers. Their communications provide partial insight into agentic activities within the Twittersphere specifically, related to and about the Irish language. To explore this data, peak, network, content and sentiment analyses were conducted. The study’s findings illustrate that there are a number of influential hubs in this network. They are in the main micro-level individuals as opposed to macro-level or governmental institutions promoting the Irish language. This paper demonstrates the potential for in-depth research into agentic practices of minority linguistic communities within Twitter, and outlines the limitations of a computational approach in conducting such research.

Quantifying the Financial Value of Cloud Investments: A Systematic Literature Review

The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value. This paper conducts a multidisciplinary systematic literature review drawing from CS, IS, and Business disciplines to understand the current evidence on the quantification of financial value from cloud computing investments. The study identified 53 articles, which were coded in an analytical framework across six themes (measurement type, costs, benefits, adoption type, actor and service model). Future research directions were presented for each theme. The review highlights the need for multi-disciplinary research which both explores and further develops the conceptualization of value in cloud computing research, and research which investigates how IT value manifests itself across the chain of service provision and in inter-organizational scenarios.

A Preliminary Review of Enterprise Serverless Cloud Computing (Function-as-a-Service) Platforms

In line with cloud computing emergence as the dominant enterprise computing paradigm, our conceptualization of the cloud computing reference architecture and service construction has also evolved. For example, to address the need for cost reduction and rapid provisioning, virtualization has moved beyond hardware to containers. More recently, serverless computing or Function-as-a-Service has been presented as a means to introduce further cost-efficiencies, reduce configuration and management overheads, and rapidly increase an applications ability to speed up, scale up and scale down in the cloud. The potential of this new computation model is reflected in the introduction of serverless computing platforms by the main hyperscale cloud service providers. This paper provides an overview and multi-level feature analysis of seven enterprise serverless computing platforms. It reviews extant research on these platforms and identifies the emergence of AWS Lambda as a de facto base platform for research on enterprise serverless cloud computing. The paper concludes with a summary of avenues for further research.

Making the Cloud Work for Software Producers: Linking Architecture, Operating Cost and Revenue.

Cloud migration is concerned with moving an on-premise software system into the cloud. In this paper, we focus on software producers adopting the cloud to provide their solutions to enterprise customers. Their challenge is to migrate a software product, developed in-house and traditionally delivered on-premise, to an Infrastructure-as-a-Service or Platform-as-a-Service solution, while also mapping an existing traditional licensing model on to a cloud monetization model. The analysis of relevant cost types and factors of cloud computing generate relevant information for the software producers when deciding to adopt cloud computing, and defining software pricing. We present an integrated framework for informing cloud monetization based on operational cost factors for migrating to the cloud and test it in a real-life case study. Differences between basic virtualization of the software product and using fully cloud-native platform services for re-architecting the product in question are discussed.