Titlebook: Organizational Acceptance of Artificial Intelligence; Identification of AI Diana Bengel Book 2020 The Editor(s) (if applicable) and The Aut

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书目名称Organizational Acceptance of Artificial Intelligence影响因子(影响力)




书目名称Organizational Acceptance of Artificial Intelligence影响因子(影响力)学科排名




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书目名称Organizational Acceptance of Artificial Intelligence网络公开度学科排名




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书目名称Organizational Acceptance of Artificial Intelligence被引频次学科排名




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心胸开阔

Methodology of Research,gs will be enriched by qualitatively examining the perceptions of experts to verify and adapt the AIAM. Before discussing those results, this chapter gives an overview about the research methodology by outlining its philosophy, the method, interview questionnaire, sample selection and data analysis

Flustered

Conclusion,ue between $3.5T and $5.8T and is predicted to flourish more than twice as quickly as other strongly growing IT trends: this is about a third the size of big data or a tenth of cloud computing (Bloomberg Intelligence, 2017; Chui et al 2018b). To fulfil these great promises, relevant stakeholders mus

加剧

Introduction,ct of discussion over the past years, with many opinions of what it is, what it is supposed to do and where it is going (Innovation Center Denmark, 2018). The term AI describes the ability of machines to think and imitate intelligent human behavior (Merriam-Webster, 2018).

胶水

auxiliary

Literature Review,This chapter presents literature findings, which build the foundation for the empirical investigation. Section 2.1 highlights aspects of disruptive technology innovations like AI. Section 2.2 gives an overview about what AI is, how it is already used in the FSS and what amplifies and hinders its usage from an organisational point of view.

white-matter

Research Findings,On basis of the chosen research methodology, this chapter presents and discusses the outcomes of the empirical investigation while comparing them with literature findings of chapter 2.

套索

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https://doi.org/10.1007/978-3-658-30794-3Künstliche Intelligenz / KI; Akzeptanz von KI; Akzeptanzforschung; Akzeptanzmodelle; Technology Acceptan

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