Trevor Clohessy

Smart City as a Service (SCaaS): A Future Roadmap for E-Government Smart City Cloud Computing Initiatives

The concept of a smart city has been identified as not only representing a crucible for technological innovation, a medium for realizing global integration but also as an exemplar response for addressing current and impending global issues (societal, environmental economic and governance). There is now general consensus that emerging information communication technologies (ICT) such as cloud computing can be deployed as a vehicle for catalyzing smart city innovation. There is also evidence to suggest that cloud computing has become a strategic direction for many e-government initiatives as evidenced by the emergence of global government clouds (G-Cloud). In this paper, we delineate the concept of a smart city and explore the propitious potential of cloud computing to enable the development of smart cities. We review the current state of the art pertaining to a selection of cloud schemes currently being operationalized by international governments aimed at capitalizing on the nascent innovation capabilities of the technological paradigm, and present a future research roadmap for cloud facilitated smart city development.

Contemporary digital business model decision making: a cloud computing supply-side perspective

Cloud computing is an example of a promising technological paradigm which possesses the potential to act as a catalyst to drive radical innovations in the development of the networked society. While some information and communication technology (ICT) providers have reaped the rewards by transitioning from antiquated hardware and service provision to more propitious cloud-based service provision methods, others have experienced substantial difficulties related to the formulation and operationalisation of effective business models. This paper presents a research framework which can serve as a lens for exploring how digital organisations can execute their core business model decisions along increasingly specific decision making levels. Taking the perspective of an exemplar established large ICT provider, our study uses the research framework in order to provide new insight for facilitating cloud computing supply-side business model effectiveness.

The Impact of Cloud-Based Digital Transformation on IT Service Providers: Evidence From Focus Groups

Cloud-baseddigitaltransformationishavingaprofoundimpactonnewandincumbentinformation technologyserviceproviders.Intransitioningfromtraditionaltocloud-basedserviceprovision,some ITserviceprovidersareexperiencingsubstantialdifficultiesinrealizingeffectivebusinessmodels. Takingtheperspectiveof20largebusinessmodelmatureandsmallandmediumenterprisebornon-the-cloudmultinational ITserviceproviders, this focusgroupstudycontributes to thedearth of researchexamining thebroader impactofcloudcomputingon ITserviceproviders’business model.Thestudyprovidestwocoreinsights.First,usingtheSTOFbusinessmodelframework,the paperprovidesavividcontextualunderstandingofthenuancedimpactofcloudcomputingalong fourcorebusinessmodeldomains:service,technological,organisationalandfinancial.Second,the studyidentifiesanumberofsalientchallengeswhichareimpactingITserviceproviders’effortsto effectivelyleveragethebenefitsofcloud-baseddigitaltransformation.

De)Mystifying the Information and Communication Technology Business Model Concept

Modern enterprises are currently experiencing volatile and rapid information and communication technology (ICT) change. A key challenge for business leaders is to ensure their organisations are ready for that change. This is particularly challenging when it comes to emerging ICT that may disrupt the management of existing enterprise information systems or business processes. The business model has been cited as an effective tool which organisations can use to prepare for ICT related change. However, there is evidence to suggest that the business model remains largely a nebulous concept to most organisations. This is compounded by the siloed nature of existing business model research. Using a content analysis research approach, this paper provides a holistic review of contemporary academic literature to ascertain and classify the various approaches to the study of ICT enabled business models. The literature examined is classified into nine specific thematic descriptors which underpin these specific business models. A comprehensive definition is also developed for ICT business models. This paper therefore extends our understanding of the business model concept and can be used to guide and coalesce future research on illuminating how organisations can operationalise effective business models in order to leverage new digital ICT.

Enterprise personal analytics: The next frontier in individual information systems research

Enterprise Personal Analytics: The Next Frontier in Individual Information Systems Research

An Analysis of the 2016 American Presidential Nominees’ Tweets: A Magical Realism Perspective

Twitter is the latest social networking tool said to be reshaping presidential political campaigns. In order to maximize the influence of their messages to voters, presidential nominees often use various techniques to transmit their campaign messages in the most effective way to the electorate. However, there is little scholarship on the use of Twitter as a strategic tool for presidential political campaigns. Using a nuanced magical realism theoretical perspective, this paper seeks to fill this gap through a content analysis of several of the presidential campaign nominees’ tweets, Donald Trump, Hillary Clinton and Jill Stein, in the six months leading up to election day on November 8th, 2016. Consequently, this study provides a methodological contribution pertaining to the utilization of magical realism to understand how Twitter is shaping the new political landscape. Furthermore, it provides an illustration of the application of specific techniques which underpin the magical realism concept and how they can be applied by other information system researchers.

The impact of cloud-based digital transformation on ICT service providers’ strategies

This work was supported, in part, by Science Foundation Ireland grant 10/CE/I1855 to Lero - the Irish Software Research Centre (www.lero.ie).

Enterprise personal analytics: Research perspectives and concerns

Modernenterprisetechnologicallandscapesarebeingimpactedbytheincreasingindividuationof informationsystems(IS).Consequently,theend-usercomputingphenomenonisbeingextendedto incorporateamultitudeofnascentpossibilitiesfororganizations.Onepromisingavenueencompasses theuseofbusinessanalytics.Commoncategoriesofenterpriseintelligenceanalyticsaretraditionally derivedfromactivitypatternsandcollaborativeroutines.Thescopeofthisarticlefocusesonanother emergentcategoryofanalyticswhichisreferredtoas“enterprisepersonalanalytics”.Thistopichas beenonlyminimallyanalysedinISandbusinessintelligenceresearch.Thisarticlethereforeextends understandingbypresentingagridframeworkwhichcomprisesvariouscombinationsofresearch stakeholderperspectivesandconcerns.Thisframeworkcanbeusedtoguideandcoalescefuture researchonilluminatinghowpersonalanalyticscanbeusedeffectivelyinanenterprisesetting.

A Theoretical Framework for Examining IT Governance in Living Laboratory Ecosystems

In recent years Living Labs, which embody an open innovation milieu, have gained currency as representing a salient catalyst for Smart City research and development. However, the current body of Living Lab research, in conjunction with the fragmented isolated nature of existing Living Labs dispersed across the European Union (EU), indicate that a lack of common standardised IT governance procedures are currently being operationalised. While cross border pan European Living Lab initiatives are emerging to rectify this issue, further research is warranted to better understand the role of IT governance in Living Labs and identify how varying IT governance mechanisms impact the effectiveness of open innovation processes. Thus, this paper begins a theory building process for examining IT governance in living labs. The paper concludes by presenting a conceptual framework for future testing.