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Perceived Usefulness and Ease of Use of Artificial Intelligence on Marketing Innovation

Authors: Maruf Fatima Sadriwala; Kaneez Fatima Sadriwala;

Perceived Usefulness and Ease of Use of Artificial Intelligence on Marketing Innovation

Abstract

Marketers may have several objectives including the increase in market share, profitability, sustainability, green behavior and above all innovation. Many observers believe that for innovation, Artificial Intelligence (AI) and Machine Learning (ML) capabilities play a vital role in developing general-purpose technologies which impact the economy and society at large. The present study examines the influence of perceived usefulness and Ease of use of artificial intelligence on marketing innovation. The base model underlying this research is Technology acceptance Model (Davis, 1989). Partial Least Squares (PLS) has been used to establish the relationship among variables. A cross-sectional empirical evidence has been collected. The results indicate that there is a significant positive relationship between perceived usefulness of artificial intelligence and marketing innovation. Therefore, we recommend marketers and producers to give due attention to overall marketing innovation and artificial intelligence generated information for sustainability.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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