Investigating the invariance of non-cognitive skills in countries with different immigration policies: a psychometric network approach

Gorgun, Guher; Kilmen, Sevilay

doi:10.1007/s11218-023-09871-2

Cited by 1 publication

(1 citation statement)

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“…To achieve a broad spectrum of perspectives, the study's participants were selected based on the research team's access to diverse cultural contexts. This included Belgium, a Western-European country typifying WEIRD cultures (Gorgun and Kilmen, 2023), and Pakistan, a South-Asian country representing non-WEIRD cultures (e.g. Hasan et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

The transformative potential of AI-enabled personalization across cultures

Mehmood,

Verleye,

De Keyser

et al. 2024

JSM

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Purpose The widespread integration of artificial intelligence (AI)-enabled personalization has sparked a need for a deeper understanding of its transformative potential. To address this, this study aims to investigate the mental models held by consumers from diverse cultures regarding the impact and role of AI-enabled personalization in their lives (i.e. individual well-being) and in society (i.e. societal well-being). Design/methodology/approach This paper uses the theories-in-use approach, collecting qualitative data via the critical incident technique. This data encompasses 487 narratives from 176 consumers in two culturally distinct countries, Belgium and Pakistan. Additionally, it includes insights from a focus group of six experts in the field. Findings This research reveals that consumers view AI-enabled personalization as a dual-edged sword: it may both extend and restrict the self and also contribute to an affluent society as well as an ailing society. The particular aspects of the extended/restricted self and the affluent/ailing society that emerge differ across respondents from different cultural contexts. Originality/value This cross-cultural research contributes to the personalization and well-being literature by providing detailed insight into the transformative potential of AI-enabled personalization while also having important managerial and policy implications.

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Section: Methodsmentioning

confidence: 99%