Information technology alignment or “fit” in highly turbulent environments

Knoll, Kathleen; Järvenpää, Sirkka L.

doi:10.1145/186281.186286

Cited by 38 publications

(31 citation statements)

References 63 publications

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“…The highly significant and negative relation between perceived vendor opportunism and the intention to adopt cloud computing was consistent with previous studies (Gefen, 2000;Gefen, et al, 2003). Therefore, Hypothesis 2 and 3 were accepted, confirming a number of studies (Gefen, 2000;Gefen, et al, 2003;Jarvenpaa, et al, 1999;Knoll & Jarvenpaa, 1994). There was also a significant negative relationship between perceived security risk and the intention to adopt cloud computing services as suggested in the literature (Greenberg, et al, 2012;Gupta, et al, 2013).…”

Section: Discussionsupporting

confidence: 88%

Modelling the Intention to Adopt Cloud Computing Services: A Transaction Cost Theory Perspective

Yigitbasioglu

2014

AJIS

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This paper uses transaction cost theory to study cloud computing adoption. A model is developed and tested with data from an Australian survey. According to the results, perceived vendor opportunism and perceived legislative uncertainty around cloud computing were significantly associated with perceived cloud computing security risk. There was also a significant negative relationship between perceived cloud computing security risk and the intention to adopt cloud services. This study also reports on adoption rates of cloud computing in terms of applications, as well as the types of services used.

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Section: Discussionsupporting

confidence: 88%

Modelling the Intention to Adopt Cloud Computing Services: A Transaction Cost Theory Perspective

Yigitbasioglu

2014

AJIS

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“…17 presents a subset of the EFCs that were created. Examples of EFCs are (shown as XxType 6 in the figure): 5 In Nucleus the term "type" was used instead of Model Class.…”

Section: Implementation Of the Nmf In Nucleusmentioning

confidence: 99%

“…Large systems, especially enterprise systems, must be able to evolve constantly [5,6]. These systems must be adapted to changing circumstances, new products, new laws and changing organizational structures.…”

Section: Introductionmentioning

confidence: 99%

Supporting fine-grained generative model-driven evolution

et al. 2010

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In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment and the runtime environment. Certain current approaches remove this separation, allowing a system to be changed smoothly when the model changes. These approaches are, however, based on interpretation of modeling information rather than on generation, as in MDA. This paper describes an architecture that supports fine-grained evolution combined with generative model-driven development. Fine-grained changes are applied in a generative model-driven way to a system that has itself been developed in this way. To achieve this, model changes must be propagated correctly toward impacted elements. The impact of a model change flows along three dimensions: implementation, data (instances), and modeled dependencies. These three dimensions are explicitly represented in an integrated modeling-runtime environment to enable traceability. This implies a fundamental rethinking of MDA.

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“…However, alignment, or fit, is an imprecise concept. According to Knoll & Jarvenpaa (1994), alignment has several dimensions such as the number of components involved, external vs. internal alignment and static vs. dynamic alignment. In addition, Regev & Wegmann (1994) state that alignment is a point of view.…”

Section: Positions Takenmentioning

confidence: 99%

The Activity Domain Theory

Taxén

2008

Knowledge Management and Business Strategies

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In this contribution, the Activity Domain Theory is introduced as a theoretical lens for guiding the alignment of business and knowledge strategies. Alignment is focused around the activity domain, which can be comprehended as a human workpractice where socially organized actors process a work object into a required outcome. An organization is seen as a constellation of activity domains, each providing a specific outcome. The products or services provided by the organization are realized by coordinating the domains. The main target for the business strategy is the constellation of activity domains. The target of the knowledge strategy is the knowledge needed to produce the outcome of each domain and the knowledge needed to coordinate the domains. In this way, the activity domain provides a common target for business and knowledge strategies. We argue that this approach makes it possible to operationalize an integrated alignment of business and knowledge strategies.

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Information technology alignment or “fit” in highly turbulent environments

Cited by 38 publications

References 63 publications

Modelling the Intention to Adopt Cloud Computing Services: A Transaction Cost Theory Perspective

Modelling the Intention to Adopt Cloud Computing Services: A Transaction Cost Theory Perspective

Supporting fine-grained generative model-driven evolution

The Activity Domain Theory

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