Key Affordances of Platform-as-a-Service: Self-Organization and Continuous Feedback

Krancher, Oliver; Luther, Pascal; Jost, Marc

doi:10.1080/07421222.2018.1481636

Cited by 51 publications

(39 citation statements)

References 64 publications

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“…From a knowledge integration perspective, a key challenge lies in the interdependencies between these knowledge areas. For instance, business people often realize their requirements (business knowledge) only after they have seen a first version of the software [16,20]. But engineers can build a first version (i.e., apply their technical knowledge) only after business people articulate a first version of requirements (business knowledge).…”

Section: Software Development As Knowledge Integrationmentioning

confidence: 99%

“…Agile methods help address knowledge-related interdependencies by establishing feedback processes and team-based organizing structures [20]. Three agile practices may be particularly suitable to this end: continuous integration, continuous analysis, and joint decision making.…”

Section: Agile Practices For Within-vendor and Client-vendor Knowledgmentioning

confidence: 99%

“…A key agile practice for within-vendor knowledge integration is continuous integration, i.e., the practice of engineers compiling, building, and testing code many times a day, typically by relying on tools for automating build and deployment processes [11,24]. Continuous integration promotes knowledge integration within the technical sphere (i.e., between engineers) because it provides engineers with immediate feedback about how their code contributions work together with other engineers' contributions [20]. An attractive feature of continuous integration in outsourcing is that it enables rapid feedback without involving the client, allowing the use of the practice even in projects in which clients do not fully embrace agile methods.…”

Section: Agile Practices For Within-vendor and Client-vendor Knowledgmentioning

confidence: 99%

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Agile Software Development Practices and Success in Outsourced Projects: The Moderating Role of Requirements Risk

Krancher

2020

Lecture Notes in Business Information Processing

Self Cite

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Although agile practices are gaining in popularity, there is little evidence showing how particular agile practices, in particular those involving the client, affect the success of outsourced software projects. Data from a matched survey of sponsors and developers in 60 outsourced information systems projects indicate negative effects of continuous analysis and positive effects of joint decision making and continuous integration on project success. Moreover, interaction analyses show that some positive effects are enhanced and negative effects dampened when requirements risk is high. These findings caution against continuous analysis in outsourced projects while they support joint decision making and continuous integration. The findings also empirically substantiate the largely untested assertion that agile practices help cope with changing requirements.

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Section: Software Development As Knowledge Integrationmentioning

confidence: 99%

Section: Agile Practices For Within-vendor and Client-vendor Knowledgmentioning

confidence: 99%

Section: Agile Practices For Within-vendor and Client-vendor Knowledgmentioning

confidence: 99%

See 1 more Smart Citation

Agile Software Development Practices and Success in Outsourced Projects: The Moderating Role of Requirements Risk

Krancher

2020

Lecture Notes in Business Information Processing

Self Cite

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“…Cloud computing models are different according to the type of services they provide such as SaaS deals customer services like accounting, database application software and emails but the user did not deal with technical infrastructure of cloud [20,21]. PaaS provides a platform for application developer like programming environment, by using those tools develop applications and have rights configure and technically manage the cloud [22,23]. IaaS provides services of the infrastructure of clouds such as manage servers, storage and network devices [24,25].…”

Section: Cloud Computingmentioning

confidence: 99%

Comparison of Fog Computing & Cloud Computing

Kumar¹,

Laghari²,

Karim³

et al. 2019

IJMSC

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Fog computing is extending cloud computing by transferring computation on the edge of networks such as mobile collaborative devices or fixed nodes with built-in data storage, computing, and communication devices. Fog gives focal points of enhanced proficiency, better security, organize data transfer capacity sparing and versatility. With a specific end goal to give imperative subtle elements of Fog registering, we propose attributes of this region and separate from cloud computing research. Cloud computing is developing innovation which gives figuring assets to a specific assignment on pay per utilize. Cloud computing gives benefit three unique models and the cloud gives shoddy; midway oversaw assets for dependable registering for performing required errands. This paper gives correlation and attributes both Fog and cloud computing differs by outline, arrangement, administrations and devices for associations and clients. This comparison shows that Fog provides more flexible infrastructure and better service of data processing by consuming low network bandwidth instead of shifting whole data to the cloud.

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“…PolaaS is obviously conceived to relate to one of the features of digital technology-the provision of software-as-aservice (SaaS). The latter typically refers to a model whereby instead of selling packages of software for a set price, a vendor is allowing the online use of centrally located software on a pay-as-you-go basis (see, for example, DeMuro, 2018; Krancher, Luther, & Jost, 2018). In a similar manner, instead of stable political identities and affiliations (ideological and/ or institutional), PolaaS proposes no-strings-attached immediate gratification services based on big data-sourced audience preferences.…”

Section: Capitalizing On Pleasurable Experiencesmentioning

confidence: 99%

Affective Encounters of the Algorithmic Kind: Post-Truth and Posthuman Pleasure

Kalpokas

2019

Social Media + Society

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This article goes beyond the current discourse on post-truth, fake news, and related developments by tracing the emergence of a broader and more fundamental change-a posthuman turn in politics. The article begins with examining the background of post-truth and the causes of its prominence. Those causes are found to primarily lie in the natural human predilection for pleasure and satisfaction as well as capacity for affective agglomeration. Such agglomeration is particularly manifest in the digital and, even more specifically, new media environment where the abundance of information and alignment opportunities has led to incessant competition of media and political actors for audience attention. The main weapon in this competitive struggle is maximization of consumer satisfaction, that is, pleasure (and not, e.g. veracity). However, the main transformative factor that both enable the maximization of satisfaction and lead to the posthuman turn is the abundance of data and the potential for its algorithmic analysis as well as interpretation of the results of such analysis. In this context, data-rich algorithm-wielding political actors are capable of knowing in advance the utterances and other affective triggers necessary to alter their audiences' choice environments in such a way that it will have no other option but to choose the preferred outcome, receiving pleasure in return. However, the same political actors are simultaneously reduced to mouthpieces for algorithmically selected utterances instead of themselves being active shapers of political strategy. Consequently, humans must share agency with algorithms and other pieces of code, if not cede it altogether.

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Key Affordances of Platform-as-a-Service: Self-Organization and Continuous Feedback

Cited by 51 publications

References 64 publications

Agile Software Development Practices and Success in Outsourced Projects: The Moderating Role of Requirements Risk

Agile Software Development Practices and Success in Outsourced Projects: The Moderating Role of Requirements Risk

Comparison of Fog Computing & Cloud Computing

Affective Encounters of the Algorithmic Kind: Post-Truth and Posthuman Pleasure

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