Improving Data Quality Using Amazon Mechanical Turk Through Platform Setup

Lu, Lu; Neale, Nathan Robert; Line, Nathaniel D.; Bonn, Mark A.

doi:10.1177/19389655211025475

Cited by 64 publications

(26 citation statements)

References 45 publications

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“…To further ensure proper execution and response quality, this study followed several guidelines (Lu et al , 2021). The participants were prescreened with the following criteria: at least 18 years old, with an approval rate equal to or higher than 97%, 300 or more previous experiences in completing tasks and location restricted to the USA.…”

Section: Methodology and Resultsmentioning

confidence: 99%

Foodstagramming as a self-presentational behavior: perspectives of tourists and residents

Lin

2022

IJCHM

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Purpose This study aims to investigate diners’ self-presentation mechanism as manifested in foodstagramming. Drawing upon the social cognitive and self-presentation theories, this study develops a conceptual model to examine the relationships among food experiential value (i.e. extrinsic value and intrinsic value), self-efficacy, strategic self-presentation and self-presentation outcomes. Design/methodology/approach The authors adopt a multi-study approach with two empirical studies (Study 1: tourists, n = 254; Study 2: residents, n = 252) and use partial least squares structural equation modeling to test the proposed model. Findings The results consistently show significant effects of extrinsic value, intrinsic value and self-efficacy on strategic self-presentation, which subsequently evokes perceived enjoyment and behavioral intention. The impact of food experiential value on self-efficacy varies between tourists and residents. The mediating effects of self-efficacy and strategic self-presentation are also confirmed. Practical implications Restaurant managers and destination marketers should acknowledge the importance of food experience as expressive capital and recognize self-presentation as a meaningful tool that links restaurant food experience with consumers’ personal branding. Businesses should strive to create a desired experiential setting shaped by food price, restaurant service, food aesthetics and consumers’ feelings, allowing diners to translate these stimuli into self-presentational resources. Originality/value This study dives into an important, yet under-examined, phenomenon of foodstagramming. To the best of the authors’ knowledge, this study is the first to theoretically link food experience to foodstagramming behavior via a self-presentation mechanism. Findings provide important theoretical and managerial implications.

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Section: Methodology and Resultsmentioning

confidence: 99%

Foodstagramming as a self-presentational behavior: perspectives of tourists and residents

Lin

2022

IJCHM

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“…Lastly, our participants were recruited from Amazon's Mechanical Turk (MTurk). Although previous studies have found MTurk produces valid and reliable data (Lu et al., 2022 ), some concerns have been noted about data quality (Aguinis et al., 2021 ). To ensure quality control in our study, we included several validity checks and conducted additional data screening procedures.…”

Section: Discussionmentioning

confidence: 99%

COVID‐19 related distress and sleep health among trauma‐exposed South Asians: Does generational status matter?

et al. 2022

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The COVID‐19 pandemic has resulted in substantial changes in individual and socio‐economic factors that may negatively impact sleep health. We examined associations between COVID‐19 related distress and sleep among trauma‐exposed South Asian adults in the United States. Since a health advantage among foreign‐born individuals has been previously noted in the literature (the ‘immigrant paradox’), we also explored if generational status (number of generations one's family has been in the U.S.) moderated associations between COVID‐19 related distress and sleep health. Participants were 196 trauma‐exposed South Asian adults residing in the U.S. (54% male, 63% U.S.‐born citizens, average age = 34.51 years), who completed measures of generational status, COVID‐19 related distress, trauma exposure, sleep‐related impairment (SRI), and sleep disturbances. Greater COVID‐19 distress was associated with more sleep disturbances ( b = 0.15, p < 0.001) and SRI ( b = 0.24, p < 0.001). Generational status was not associated with sleep, nor did it modify associations between COVID‐19 distress and sleep. Findings highlight the potential importance of developing interventions to reduce stress and sleep difficulties during the pandemic. Our results did not support the immigration paradox. Future studies are needed to better understand the role of generational status on sleep health across immigrant subgroups.

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“…It is considered a valuable and superior platform for online experiments compared to other commonly used platforms (Palan and Schitter, 2018). We followed the suggestions of Lu et al (2021) to provide rigorous procedures on similar platforms. After removing incomplete responses and reviewing screening questions and attention checks, 212 responses were retained for further data analysis for Study 2 and 182 responses for Study 3.…”

Section: Methodsmentioning

confidence: 99%

Customers’ perceptions of hotel AI-enabled voice assistants: does brand matter?

Rui-ying

Cain

Jeon

2022

IJCHM

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Purpose Extending the technology acceptance model (TAM) to a new context, the purpose of this paper is to propose an integrative model of the brand of artificial intelligence-enabled voice assistants (AI-EVA) and customers’ perceptions and behavioral intentions of using AI-EVA in hotels. Moderating effects of construal levels and hotel scales were examined. Design/methodology/approach This paper adopted a mixed method approach. A qualitative and phenomenological methodology was adopted in Study 1 to explore hotel customers’ experience with AI-EVA. Study 2 applied experimental design to investigate the effects of the brand of AI-EVA and construal level on customers’ perceptions and behavioral intentions of using AI-EVA. Based on Studies 1 and 2 results, Study 3 examined how the brand of AI-EVA and hotel scale affect customers’ perceptions and behavioral intentions of using AI-EVA during hotel stays. Findings This research found that customers perceive a higher level of perceived usefulness, perceived ease of use and anthropomorphism when AI-EVA is branded (vs off-brand). Perceived usefulness positively affects customers’ intention to use and to spread positive word-of-mouth. Anxiety of using AI-enabled devices and privacy concerns inhibit customers’ intention to use AI-EVA. Anthropomorphism increases customers’ willingness to spread positive word-of-mouth. Construal level moderates the effect of the brand of AI-EVAs on perceived ease of use and anthropomorphism. Hotel scale moderates the effect of brand on perceived usefulness. Originality/value This paper is one of the first attempts to uncover and integrate different factors underlying customers’ perceptions of using AI-EVA in an extended TAM in hotel settings. This paper provides an integrative model extending the TAM to a new context by deploying a mixed-method approach across three studies.

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Improving Data Quality Using Amazon Mechanical Turk Through Platform Setup

Cited by 64 publications

References 45 publications

Foodstagramming as a self-presentational behavior: perspectives of tourists and residents

Foodstagramming as a self-presentational behavior: perspectives of tourists and residents

COVID‐19 related distress and sleep health among trauma‐exposed South Asians: Does generational status matter?

Customers’ perceptions of hotel AI-enabled voice assistants: does brand matter?

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