40 research outputs found

    Cloud Computing: TOE Adoption Factors By Service Model In Manufacturing

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    Organizations are adopting cloud technologies for two primary reasons: to reduce costs and to enhance business agility. The pressure to innovate, reduce costs and respond quickly to changes in market demand brought about by intense global competition has U.S. manufacturing firms turning to cloud computing as an enabling strategy. Cloud computing is a service based information technology model that enables on-demand access to a shared pool of computing services provisioned over a broadband network. Cloud is categorized across three primary service models, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), differentiated by the cloud provider’s level of responsibility for managing hardware services, development platforms and application services. While prior research in cloud computing has sought to define the concept and explore the business value, empirical studies in the Information Systems literature stream are sparse, limited to exploratory case studies and SaaS research. Using the Technology, Organization, and Environment framework as a theoretical foundation, this research provides a holistic cloud adoption model inclusive of all cloud service layers. The study analyzes factors influencing organizational cloud adoption utilizing survey data from 150 U.S. manufacturing firms. The results find organizational innovativeness as a crucial factor to cloud computing adoption in manufacturing. An inverse factor relationship suggests the more innovative the firm culture, the less likely it is to adopt cloud. Other significant adoption factors include trust and technical competency. Findings also suggest variations in adoption influences based on the cloud service model deployed. The study has strategic implications for both researchers and managers seeking to understand the antecedents to adoption, and for practitioners developing an organizational cloud strategy spanning multiple cloud service models. For vendors, the study provides insights that can be leveraged to inform product design, solution strategy, and value proposition creation for future cloud service offerings

    The State of the Nation

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    King-Maker: Reading Theatrical Presentations of Canadian Political History

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    This essay examines Allan Stratton's Rexy! and Michael Hollingsworth's The Life and Times of Mackenzie King in the context of their historiographic representations of former Canadian Prime Minister Mackenzie King. The essay argues that the plays' different tropological strategies of representation determine their respective historical narratives, and explores some of the dramaturgical and theatrical implications of these strategies. Specifically, "Kingmaker" argues that Hollingsworth's narrative is constructed through metonymy, textually and scenographically drawing attention to the space between historical events and its own representation of those events. Stratton's narrative, in contrast, is guided by metaphor, and attempts to efface the representational methodologies at work in its construction of King. Cet article étudie les pièces Rexy! de Allan Stratton et The Life and Times of Mackenzie King de Michael Hollingsworth dans le contexte de leur représentation historiographique de l'ancien premier ministre du Canada Mackenzie King. Il montre que les différentes stratégies tropologiques de représentation utilisées dans les pièces déterminent leurs narrations historiques respectives, et il explore les répercussions dramaturgiques et théâtrales de ces stratégies. Plus spécifiquement, "Kingmaker" montre que la narration de Hollingsworth est construite à partir de la métonymie et qu'elle attire textuellement et scénographiquement l'attention sur la différence entre les événements historiques et sa propre représentation de ces événements. La narration de Stratton, elle, est guidée par la métaphore et elle tente d'effacer les méthodologies de représentation utilisées pour la construction de King
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