2022
Moral relevance varies due to inter‐individual and intra‐individual differences across big data technology domains
Abstract: Theories of moralization argue that moral relevance varies due to inter-individual differences, domain differences, or a mix of both. Predictors associated with these sources of variation have been studied in isolation to assess their unique contribution to moralization. Across three studies (N Study1 = 376; N Study2a = 621; N Study2b = 589), assessing attitudes towards new big data technologies, we found that moralization is best explained by theories focusing on inter-individual variation (∼29%) and intraind…
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Cited by 8 publications
(15 citation statements)
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“…The perceived value of a product depends to a large extent on whether consumers conform to social or subjective norms. Additionally, many academic sources show that the things mentioned here have a big impact on the perception of various systems in various industries (Kodapanakkal et al, 2022;Semantha et al, 2021). However, the findings in this study predicted that these factors influence individual perception towards new technology such as BDM.…”
Section: Individual Dimensioncontrasting
confidence: 61%
“…The perceived value of a product depends to a large extent on whether consumers conform to social or subjective norms. Additionally, many academic sources show that the things mentioned here have a big impact on the perception of various systems in various industries (Kodapanakkal et al, 2022;Semantha et al, 2021). However, the findings in this study predicted that these factors influence individual perception towards new technology such as BDM.…”
Section: Individual Dimensioncontrasting
confidence: 61%
“…Instead, this person‐specific and more idiosyncratic solitude priority are captured by the person × solitude function interaction component. See Figure 5 for a visual illustration (Kodapanakkal et al., 2021 ). Therefore, to reduce measurement error and estimate an additional variance component, participants in the new study rated each solitude function twice.…”
Section: Discussionmentioning
confidence: 99%
“… Illustration of a missing variance component due to idiosyncratic solitude priorities (Kodapanakkal et al., 2021 ). The x ‐axis represents different solitude functions, the y ‐axis represents perceived importance ratings, and the colored lines represent different individuals. …”
Section: Discussionmentioning
confidence: 99%
“…Instead, this person-specific and more idiosyncratic solitude priorities are captured by the person × solitude function interaction component. See Figure 5 for a visual illustration (Kodapanakkal et al, 2021). Therefore, to reduce measurement error and estimate an additional variance component, participants in the new study rated each solitude function twice.…”
Section: Discussionmentioning
confidence: 99%
