Construction and retrieval of evaluative judgments: The attitude strength moderation model

Nayakankuppam, Dhananjay; Priester, Joseph R.; Kwon, Jae Hwan; Donovan, Leigh Anne; Petty, Richard E.

doi:10.1016/j.jesp.2017.12.005

Cited by 9 publications

(7 citation statements)

References 50 publications

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“…As such, measures of attitudes (e.g., ratings) toward products or brands are likely to be noisy measures, and thus noisy predictors of future attitudes and preferences. At the same time, like preferences, some attitudes are particularly strong, stable, and well‐defined (Nayakankuppam et al., 2018). However, as with preferences, in such cases, prediction is likely to be less interesting and less useful for marketers because these attitudes will be less susceptible to influence by marketers, at least in the short term.…”

Section: Discussionmentioning

confidence: 99%

Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not

Gal

Simonson

2020

Consumer Psychology Review

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Recent technology advances (e.g., tracking and “AI”) have led to claims and concerns regarding the ability of marketers to anticipate and predict consumer preferences with great accuracy. Here, we consider the capabilities of both traditional techniques (e.g., conjoint analysis) and more recent tools (e.g., advanced machine learning methods) for predicting consumer choices. Our main conclusion is that for most of the more interesting consumer decisions, those that are “new” and non‐habitual, prediction remains hard. In fact, in many cases, prediction has become harder due to the increasing influence of just‐in‐time information (user reviews, online recommendations, new options, etc.) at the point of decision that can neither be measured nor anticipated ex ante. Sophisticated methods and “big data” can in certain contexts improve predictions, but usually only slightly, and prediction remains very imprecise—so much so that it is often a waste of effort. We suggest marketers focus less on trying to predict consumer choices with great accuracy and more on how the information environment affects the choice of their products. We also discuss implications for consumers and policymakers.

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Section: Discussionmentioning

confidence: 99%

Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not

Gal

Simonson

2020

Consumer Psychology Review

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“…We focus on this particular context since we are interested in exploring whether accent may impede social mobility and professional advancement. As prior work in both linguistics and psychology has demonstrated, attitudes to language and other forms of socially meaningful practice are contextually situated, such that the evaluation of a behavior in one context does not necessarily apply in another (Gawronski, Ye, Rydell & De Houwer 2014;Nayakakuppam, Priester, Kwon, Donovan & Petty 2018;Hilton & Jeong 2019;Levon & Ye 2020). It is therefore not possible to assume that attitudes to language in a professional context will match those elicited in a more general (or "neutral") context (Ajzen 1991(Ajzen , 2005Campbell-Kibler 2009).…”

Section: Methodsmentioning

confidence: 99%

Accent Bias and Perceptions of Professional Competence in England

Levon

Sharma

Watt

et al. 2021

Journal of English Linguistics

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Unequal outcomes in professional hiring for individuals from less privileged backgrounds have been widely reported in England. Although accent is one of the most salient signals of such a background, its role in unequal professional outcomes remains underexamined. This paper reports on a large-scale study of contemporary attitudes to accents in England. A large representative sample ( N = 848) of the population in England judged the interview performance and perceived hirability of “candidates” for a trainee solicitor position at a corporate law firm. Candidates were native speakers of one of five English accents stratified by region, ethnicity, and class. The results suggest persistent patterns of bias against certain accents in England, particularly Southern working-class varieties, though moderated by factors such as listener age, content of speech, and listeners’ psychological predispositions. We discuss the role that the observed bias may play in perpetuating social inequality in England and encourage further research on the relationship between accent and social mobility.

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“…According to Fazio’s attitude theory, the effect of priming depends on attitude strength (i.e., strong attitudes are more easily retrieved from memory; Fazio, 1995; Nayakankuppam et al., 2018). Attitude strength determines attitude accessibility (i.e., the ease with which an attitude is activated; Fazio et al., 1986).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…According to Fazio's attitude theory, the effect of priming depends on attitude strength (i.e., strong attitudes are more easily retrieved from memory; Fazio, 1995;Nayakankuppam et al, 2018).…”

Section: Theore Ti C Al Backg Roundmentioning

confidence: 99%

Does online chatter matter for consumer behaviour? A priming experiment on organic food

Danner

Thøgersen

2021

Int J Consumer Studies

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People are increasingly sharing their opinions online. Today, 54% of the global populations have access to the Internet (ITU, 2019), and 51% use social media (e.g., blogs and discussion boards) and social networks (e.g., Facebook and Twitter) (DataReportal, 2020).Worldwide, users spent a daily average of 2.5 hr online in 2018; this figure is expected to increase to over 3 hr by 2021 (Zenith, 2019). The rise of online participation platforms has provided new sources of insight into consumer perceptions, attitudes and behaviour (Balducci & Marinova, 2018). In particular, the text mining of online "chatter" that is online word-of-mouth or user-generated content (UGC; Tang

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Construction and retrieval of evaluative judgments: The attitude strength moderation model

Cited by 9 publications

References 50 publications

Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not

Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not

Accent Bias and Perceptions of Professional Competence in England

Does online chatter matter for consumer behaviour? A priming experiment on organic food

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