Artificial Intelligence as the core technology for the Digital Transformation process

Hajishirzi, Reihaneh; Costa, Carlos J.

doi:10.23919/cisti52073.2021.9476607

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…Human-computer interaction researchers have looked at how people connect with machines, including voice-based technologies and VAs. Embedded AI mobile device VAs provided individuals with the first opportunity to interact with AI in a useful and meaningful form (McLean and Osei-Frimpong, 2019; Hajishirzi and Costa, 2021; Costa and Aparicio, 2023).…”

Section: Introductionmentioning

confidence: 99%

Impact of embedded AI mobile smart speech recognition on consumer attitudes towards AI and purchase intention across Generations X and Y

Arachchi,

Samarasinghe

2023

EJMS

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PurposeThis study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.Design/methodology/approachThe study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).FindingsThe findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.Practical implicationsTo multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.Originality/valueThis study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

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Section: Introductionmentioning

confidence: 99%

Impact of embedded AI mobile smart speech recognition on consumer attitudes towards AI and purchase intention across Generations X and Y

Arachchi,

Samarasinghe

2023

EJMS

View full text Add to dashboard Cite

show abstract

“…A comprehensive overview of the various applications of data science and AI shows their transformative impact in healthcare, finance, marketing [4], transportation, and more [5]. By harnessing the power of data analytics, machine learning, and deep learning algorithms, data science and AI have revolutionized decision-making processes and empowered organizations to gain valuable insights, optimize operations, and deliver innovative products and services [6].…”

mentioning

confidence: 99%