Improving Data Quality Using Amazon Mechanical Turk Through Platform Setup

Common method biases in behavioral research: A critical review of the literature and recommended remedies

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works

Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996 · see citing works

Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008 · see citing works

Running experiments on Amazon Mechanical Turk

Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500002205 · Cited by 3,767 · see citing works

Instructional manipulation checks: Detecting satisficing to increase statistical power

Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.03.009 · Cited by 3,493 · see citing works

Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples

Goodman, J. K., Cryder, C. E., & Cheema, A. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1753 · Cited by 2,242 · see citing works

At what sample size do correlations stabilize?

Schönbrodt, F. D., & Perugini, M. (2013) · Journal of Research in Personality · doi:10.1016/j.jrp.2013.05.009 · Cited by 2,232 · see citing works

Inside the Turk: Understanding Mechanical Turk as a Participant Pool

Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414531598 · Cited by 2,136 · see citing works

Crowdsourcing user studies with Mechanical Turk

Kittur, A., Ed, H., & Suh, B. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357127 · Cited by 1,941 · see citing works

Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

Hauser, D. J., & Schwarz, N. (2016) · Behavior Research Methods · doi:10.3758/s13428-015-0578-z · Cited by 1,739 · see citing works

Reputation as a sufficient condition for data quality on Amazon Mechanical Turk

Peer, E., Vosgerau, J., & Acquisti, A. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0434-y · Cited by 1,618 · see citing works

The Generalizability of Survey Experiments

Mullinix, K. J., Leeper, T. J., Druckman, J. N., & Jeremy Freese, A. (2015) · Journal of Experimental Political Science · doi:10.1017/xps.2015.19 · Cited by 1,235 · see citing works

Conducting Clinical Research Using Crowdsourced Convenience Samples

Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072 · see citing works

An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results

Chmielewski, M., & Kucker, S. C. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550619875149 · Cited by 1,027 · see citing works

An Analysis of Data Quality: Professional Panels, Student Subject Pools, and Amazon's Mechanical Turk

Kees, J., Berry, C., Burton, S., & Sheehan, K. (2017) · Journal of Advertising · doi:10.1080/00913367.2016.1269304 · Cited by 902 · see citing works

An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use

Buhrmester, M. D., Talaifar, S., & Gosling, S. D. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617706516 · Cited by 764 · see citing works

Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments

Thomas, K. A., & Clifford, S. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.08.038 · Cited by 625 · see citing works

Crowdsourcing Consumer Research

Goodman, J. K., & Paolacci, G. (2017) · Journal of Consumer Research · doi:10.1093/jcr/ucx047 · Cited by 597 · see citing works

Satisfaction with service recovery: Perceived justice and emotional responses

Lanza, A. B. D. R., Vázquez‐Casielles, R., & Díaz‐Martín, A. M. (2008) · Journal of Business Research · doi:10.1016/j.jbusres.2008.09.015 · Cited by 506 · see citing works

The shape of and solutions to the MTurk quality crisis

Kennedy, R., Clifford, S., Burleigh, T., Waggoner, P. D., Jewell, R., & Winter, N. J. G. (2020) · Political Science Research and Methods · doi:10.1017/psrm.2020.6 · Cited by 506 · see citing works

A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

Hara, K., Adams, A., Milland, K., Savage, S., Callison-Burch, C., & Bigham, J. P. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174023 · Cited by 497 · see citing works

The pitfall of experimenting on the web: How unattended selective attrition leads to surprising (yet false) research conclusions.

Zhou, H., & Ayelet Fishbach, B. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000056 · Cited by 462 · see citing works

A multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel to MTurk samples

Smith, S. M., Roster, C. A., Golden, L. L., & Albaum, G. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.12.002 · Cited by 415 · see citing works

A reliability analysis of Mechanical Turk data

Rouse, S. V. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.004 · Cited by 414 · see citing works

MTurk Character Misrepresentation: Assessment and Solutions

Sharpe Wessling, K., Huber, J., & Netzer, O. (2017) · Journal of Consumer Research · doi:10.1093/jcr/ucx053 · Cited by 330 · see citing works

Common method bias in hospitality research: A critical review of literature and an empirical study

Min, H. K., Park, J., & Kim, H. J. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.04.010 · Cited by 281 · see citing works

A convenient solution: Using MTurk to sample from hard-to-reach populations

Smith, N. A., Sabat, I. E., Martinez, L. R., Weaver, K., & Xu, S. (2015) · Industrial and Organizational Psychology · doi:10.1017/iop.2015.29 · Cited by 190 · see citing works

Why Individuals Participate in Micro-task Crowdsourcing Work Environment: Revealing Crowdworkers’ Perceptions

Deng, X. N., & Joshi, K. D. (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00441 · Cited by 175 · see citing works

Common Concerns with MTurk as a Participant Pool: Evidence and SolutionsPreprint

Hauser, D., Paolacci, G., & Chandler, J. (2018) · doi:10.31234/osf.io/uq45c · Cited by 156 · see citing works

Consumer Awareness and Use of Product Review Websites

Bailey, A. A. (2005) · Journal of Interactive Advertising · doi:10.1080/15252019.2005.10722109 · Cited by 147 · see citing works

The Role of Perceived Control in Customer Value Cocreation and Service Recovery Evaluation

Guo, L., Lotz, S. L., Tang, C., & Gruen, T. W. (2015) · Journal of Service Research · doi:10.1177/1094670515597213 · Cited by 134 · see citing works

Social desirability bias and self-reports of motivation

Antin, J., & Shaw, A. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208699 · Cited by 125 · see citing works

The Turker Blues: Hidden Factors Behind Increased Depression Rates Among Amazon’s Mechanical Turkers

Ophir, Y., Sisso, I., Asterhan, C. S. C., Tikochinski, R., & Reichart, R. (2019) · Clinical Psychological Science · doi:10.1177/2167702619865973 · Cited by 124 · see citing works

Intertemporal Differences Among MTurk Workers: Time-Based Sample Variations and Implications for Online Data Collection

Casey, L. S., Chandler, J., Levine, A. S., Proctor, A., & Strolovitch, D. Z. (2017) · SAGE Open · doi:10.1177/2158244017712774 · Cited by 122 · see citing works

Amazon's Mechanical Turk: A Comment

Ford, J. B. (2017) · Journal of Advertising · doi:10.1080/00913367.2016.1277380 · Cited by 112 · see citing works

Data Quality from Crowdsourced Surveys: A Mixed Method Inquiry into Perceptions of Amazon's Mechanical Turk Masters

Lovett, M., Bajaba, S. M., Lovett, M., & Simmering, M. J. (2017) · Applied Psychology · doi:10.1111/apps.12124 · Cited by 112 · see citing works

Caution! MTurk Workers Ahead—Fines Doubled

Harms, P. D., & DeSimone, J. A. (2015) · Industrial and Organizational Psychology · doi:10.1017/iop.2015.23 · Cited by 109 · see citing works

Turking overtime: how participant characteristics and behavior vary over time and day on Amazon Mechanical Turk

Arechar, A. A., Kraft‐Todd, G., & Rand, D. G. (2017) · Journal of the Economic Science Association · doi:10.1007/s40881-017-0035-0 · Cited by 90 · see citing works

Loneliness among students with special educational needs in mainstream seventh grade

Bossaert, G., Colpin, H., Pijl, S. J., & Petry, K. (2012) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2012.05.010 · Cited by 84 · see citing works

Social Reward Questionnaire (SRQ): development and validation

Foulkes, L., Viding, E. M., McCrory, E. J. P., & Neumann, C. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00201 · Cited by 73 · see citing works

From critical design to critical infrastructure

Irani, L. C., & Silberman, M. ‘. (2014) · interactions · doi:10.1145/2627392 · Cited by 60 · see citing works

The Customer Isn’t Always Right: The Implications of Illegitimate Complaints

Kim, K., & Baker, M. A. (2019) · Cornell Hospitality Quarterly · doi:10.1177/1938965519889288 · Cited by 48 · see citing works

Customer Service Evaluations of Employees With Disabilities: The Roles of Perceived Competence and Service Failure

Madera, J. M., Taylor, D. C., & Barber, N. (2019) · Cornell Hospitality Quarterly · doi:10.1177/1938965519882315 · Cited by 41 · see citing works

Diversity and Inclusion in Organizations

Stone, D. L., Dulebohn, J. H., & Lukaszewski, K. M. (2020) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-64802-006-3 · Cited by 17 · see citing works

Journal of the Midwest Association for Information Systems

(2019) · Journal of the Midwest Association for Information Systems · doi:10.17705/3jmwa · Cited by 13 · see citing works

Back to the Future

Cheung, H. K., Hebl, M. R., King, E. B., Markell, H. M., Moreno, C. J., & Nittrouer, C. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617709113 · Cited by 12 · see citing works

Healthy Taste of High Status: Signaling Status at Restaurants

Shin, J., & Mattila, A. (2020) · Cornell Hospitality Quarterly · doi:10.1177/1938965519877807 · Cited by 10 · see citing works

Customers’ acceptance of artificially intelligent service robots: The influence of trust and culture

Chi, O. H., Chi, C. G.-Q., Gürsoy, D., & Nunkoo, R. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102623 · Cited by 293 · see citing works

Comparing attentional disengagement between prolific and MTurk samples

Albert, D. A., & Smilek, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-46048-5 · Cited by 166 · see citing works

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

Kim, S. S. Y., Liao, Q. V., Vorvoreanu, M., Ballard, S., & Vaughan, J. W. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3630106.3658941 · Cited by 147 · see citing works

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

Cai, R., Cain, L., & Jeon, H. (2022) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-10-2021-1313 · Cited by 139 · see citing works

Effects of AI ChatGPT on travelers’ travel decision-making

Kim, J. H., Kim, J., Kim, S., & Hailu, T. B. (2023) · Tourism Review · doi:10.1108/tr-07-2023-0489 · Cited by 109 · see citing works

Employees’ perception of robots and robot-induced unemployment in hospitality industry under COVID-19 pandemic

Parvez, M. O., Öztüren, A., Çobanoğlu, C., Araslı, H., & Eluwole, K. K. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103336 · Cited by 110 · see citing works

Ghost kitchens on the rise: Effects of knowledge and perceived benefit-risk on customers’ behavioral intentions

Cai, R., Leung, X. Y., & Chi, C. G.-Q. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.103110 · Cited by 106 · see citing works

Narrowing the intention-behavior gap: The impact of hotel green certification

Chi, C. G.-Q., Chi, O. H., Xu, X., & Kennedy, I. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103305 · Cited by 88 · see citing works

Nostalgic emotions, meaning in life, subjective well-being and revisit intentions

Karagöz, D., & Ramkissoon, H. R. (2023) · Tourism Management Perspectives · doi:10.1016/j.tmp.2023.101159 · Cited by 56 · see citing works

Disentangling the dynamics of service failure and service recovery in peer-to-peer accommodations: A triadic perspective

Kim, H., So, K. K. F., & Mihalik, B. J. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.103086 · Cited by 48 · see citing works

The Burden for High-Quality Online Data Collection Lies With Researchers, Not Recruitment Platforms

Cuskley, C. F., & Sulik, J. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916241242734 · Cited by 48 · see citing works

Does metaverse stimulate tourism prosocial behavior? A mindfulness-driven model with a psychological ownership perspective

Cai, R., Wang, Y., & Zhang, T. C. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2023-1130 · Cited by 40 · see citing works

Rationalizing quiet quitting? Deciphering the internal mechanism of front-line hospitality employees’ workplace deviance

Wu, A., & Wei, W. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103681 · Cited by 40 · see citing works

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

Lin, B.-N., Fu, X.-X., & Lu, L. (2022) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2022-0042 · Cited by 29 · see citing works

Role of social media influencers on marketing of sustainable hotels: gratification and the parasocial interaction perspective

Horng, J., Liu, C.-H. S., Chou, S.-F., Yu, T., & Hu, D.-C. (2024) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2024.2315947 · Cited by 34 · see citing works

The Impact of Price Preciseness, Price Reduction, and Lay Rationalism on Travelers’ Perceptions of Deal Attractiveness, Purchase Intention, and Choice

Kim, J., Jhang, J., Kim, S., & Stylidis, D. (2022) · Journal of Travel Research · doi:10.1177/00472875221129255 · Cited by 30 · see citing works

The biophilic hotel lobby: Consumer emotions, peace of mind, willingness to pay, and health-consciousness

Nanu, L., & Rahman, I. (2023) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103520 · Cited by 28 · see citing works

What over 1,000,000 participants tell us about online research protocols

Tomczak, J., Gordon, A., Adams, J., Pickering, J. S., Hodges, N., & Evershed, J. K. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1228365 · Cited by 25 · see citing works

Effect of customers’ skepticism toward CSR practices on customers’ behavior in luxury service context

Hyun, H., Hong, E., Ahn, J., & Park, J. (2024) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2023.2239837 · Cited by 25 · see citing works

Consumers’ Brand Experiences With Robotic Service Failures: Modeling Appraisal, Attribution, and Psychological Reactance

Shin, H. H., Tung, V. W. S., & Jeong, M. (2024) · Journal of Hospitality & Tourism Research · doi:10.1177/10963480241231469 · Cited by 22 · see citing works

Gamification preferences in nutrition apps: Toward healthier diets and food choices

Berger, M., & Jung, C. (2024) · Digital Health · doi:10.1177/20552076241260482 · Cited by 21 · see citing works

The customer is often wrong: Investigating the influence of customer failures and apologies on frontline service employee well‐being

Robertson, N., Rotman, J. D., McQuilken, L., & Ringer, A. (2023) · Psychology & Marketing · doi:10.1002/mar.21789 · Cited by 18 · see citing works

Assigning credit and blame: How delivery services affect restaurant EWOM

Line, N. D., Hanks, L., Doğru, T., & Lu, L. (2023) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103644 · Cited by 19 · see citing works

When green meets gamification: A winning combo for hotel revisit intentions

Wu, A., Kang, J., Kwun, D. J., & Wei, W. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103734 · Cited by 19 · see citing works

When virtual others are with me: exploring the influence of social presence in virtual reality wine tourism experiences

Deng, D. S., Seo, S., Harrington, R. J., & MARTIN, D. J. (2024) · International Journal of Wine Business Research · doi:10.1108/ijwbr-04-2024-0019 · Cited by 20 · see citing works

Cultivating innovative behaviors: How entrepreneurial leaders foster employees’ antifragility within autonomous work settings

Malibari, M., Bajaba, S. M., Bajaba, A. M., & Basahal, A. S. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100701 · Cited by 19 · see citing works

Intersectional forms of racism and sexual minority stress are associated with alcohol use among Latinx sexual minority men with greater Hispanic/Latinx cultural orientation

Zelaya, D. G., Rosales, R., García, J. J., Moreno, O., Figuereo, V. J., Kahler, C. W., & DeBlaere, C. (2023) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2023.2176235 · Cited by 16 · see citing works

Gamification to Improve Medication Adherence: A Mixed-method Usability Study for MedScrab

Yan, L., Phan, H., Law, A. V., Roosan, M. R., Karim, M., Baskys, A., & Roosan, D. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-02006-2 · Cited by 16 · see citing works

Why do Experiments Fail? Six Practical Suggestions for Successful Online Experiments

Kim, J. (2023) · Journal of Travel Research · doi:10.1177/00472875231209983 · Cited by 16 · see citing works

I know you, you know me: the effects of customer empathy and employee self-disclosure on customer citizenship behavior

Kim, M., & Jang, J. (2022) · Journal of Service Theory and Practice · doi:10.1108/jstp-01-2022-0018 · Cited by 17 · see citing works

Employing the houseless as corporate social responsibility

Smith, N. A., Martinez, L. R., Xu, S. T., Mattila, A. S., & Gao, Y. L. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2022-0649 · Cited by 14 · see citing works

Negative messages from parents and sisters and Latina college students’ body image shame

Rivero, A., Killoren, S. E., Kline, G. C., & Campione‐Barr, N. (2022) · Body Image · doi:10.1016/j.bodyim.2022.05.011 · Cited by 13 · see citing works

Determinants of Usefulness of Chat GPT for Learning in Technology Acceptance Model (TAM) Using Information Credibility, Fun, and Responsiveness and Moderating Role of Fun

Kim, J., & Moon, J. (2025) · SAGE Open · doi:10.1177/21582440251320173 · Cited by 18 · see citing works

Organizational responses to online employee reviews: A mixed-method research

Zhang, Y. C., Shum, C. W. S., & Belarmino, A. M. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.104003 · Cited by 11 · see citing works

Investigating the antecedents of tourists’ intention to use travel tracking mobile applications to follow other travelers’ experiences

Medeiros, M., Ozturk, A. B., Okumuş, B., Hançer, M., & Weinland, J. T. (2024) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-07-2023-0208 · Cited by 11 · see citing works

A Behavioral Economic Analysis of Carbon-Neutral Home Energy Enrollment

Gelino, B. W., Kaplan, B. A., & Reed, D. D. (2023) · Behavior and Social Issues · doi:10.1007/s42822-023-00143-4 · Cited by 10 · see citing works

Should I stay or should I go?: The impact of socially responsible human resources management practices on hospitality employees

Mistry, T. G., Cain, L., Doğan, S., & Songur, A. G. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103962 · Cited by 10 · see citing works

A committed brand facing moral dilemma crises: the role of inferred goodwill and self-brand connection in consumer regret

Jang, J., Kang, J., & Huan, C. (2024) · Journal of Product & Brand Management · doi:10.1108/jpbm-09-2023-4704 · Cited by 10 · see citing works

Assessing the quality and reliability of the Amazon Mechanical Turk (MTurk) data in 2024

Shimoni, H., & Axelrod, V. (2025) · Royal Society Open Science · doi:10.1098/rsos.250361 · Cited by 10 · see citing works

The Role of Awe on Booking Intention in Short-Term Rentals

Sun, Z., Yuan, M., Zhang, J., Kou, S., & Hou, Y. (2023) · Journal of Hospitality & Tourism Research · doi:10.1177/10963480231179996 · Cited by 9 · see citing works

Rumination in dementia and its relationship with depression, anxiety, and attentional biases

Greenaway, A.-M., Hwang, F., Nasuto, S. J., & Ho, A. K. (2024) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2024.2327679 · Cited by 8 · see citing works

Platform over procedure: Online platforms that pre-vet participants yield higher data quality without sacrificing diversityPreprint

Péer, E., Rothschild, D. M., & Gordon, A. (2023) · doi:10.31234/osf.io/buzwn · Cited by 8 · see citing works

Consumer biases in the perception of organizational greed

Arango, L., Singaraju, S., Niininen, O., & D’Souza, C. (2022) · International Journal of Consumer Studies · doi:10.1111/ijcs.12870 · Cited by 8 · see citing works

Hospitality marketing research: bridging the practical gap

Bilgihan, A., Hanks, L., Line, N. D., & Mody, M. A. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2023-1351 · Cited by 7 · see citing works

Toloka platform as a source of online survey participants: an experience of assessing data quality

Gavrilov, K. (2022) · Sociology methodology methods mathematical modeling (Sociology 4M) · doi:10.19181/4m.2021.53.5 · Cited by 6 · see citing works

Fear or humor? The effects of negatively framed visual hyperbole in advertising

Huang, Y. T. (2023) · International Journal of Advertising · doi:10.1080/02650487.2023.2262325 · Cited by 6 · see citing works

Exploration for the intention to use of ChatGPT as educational instrument using technology acceptance model

Kim, J., & Kim, M.-R. (2024) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2024.27.3.007 · Cited by 7 · see citing works

More variety-seeking in sorted versus non-sorted option displays in hospitality: The moderating effect of optimal stimulation level

Kim, J., Jhang, J., Kim, S., Cho, A., & Kim, J. H. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104173 · Cited by 5 · see citing works

Moral repair versus punishment: influences on managerial responses

Butterfield, K. D., Neale, N. R., Shin, E., & He, M. (2023) · Organization Management Journal · doi:10.1108/omj-11-2021-1398 · Cited by 5 · see citing works

Heroes Rise in Tough Times: The Role of Ethical Idealism, Empathy, and Firm Responses to the COVID-19 Pandemic

Kang, Y. A., Legendre, T. S., Lee, S. A., & Baker, M. A. (2023) · Cornell Hospitality Quarterly · doi:10.1177/19389655231214706 · Cited by 5 · see citing works

Better than Us: The Role of Implicit Self-Theories in Determining Perceived Threat Responses in HRI

Allan, D. D., Vonasch, A. J., & Bartneck, C. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889520 · Cited by 5 · see citing works

M-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays

Gao, X., Guo, X., & Lo, T. T. (2023) · Sustainability · doi:10.3390/su15097126 · Cited by 5 · see citing works

Reducing e-waste in Europe: Examining the impact of environmental and financial literacy on the premature replacement of appliances across owner-occupier and rental residential properties using the EVIDENT serious game

Delemere, E., & Liston, P. M. (2024) · Energy Reports · doi:10.1016/j.egyr.2024.05.042 · Cited by 6 · see citing works

Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review

Chen, W., Hussain, W., Al-Qudah, I., Al‐Naymat, G., & Zhang, X. (2024) · Personal and Ubiquitous Computing · doi:10.1007/s00779-024-01820-w · Cited by 5 · see citing works

A Practical Approach to Enhance Data Quality Management in Government: Case Study of Indonesian Customs and Excise Office

Nugraha, T. F., Wibowo, W. S., Genia, V., Fadhil, A., & Ruldeviyani, Y. (2024) · Journal of Information Systems Engineering and Business Intelligence · doi:10.20473/jisebi.10.1.51-69 · Cited by 10 · see citing works

Between dominance and inequality: The psychological roots of attitudes towards hierarchy in world politics

Chagas-Bastos, F. H. (2025) · Cooperation and Conflict · doi:10.1177/00108367241313302 · Cited by 4 · see citing works

Preference reversals in ethicality judgments of medical treatments

Lemli, B. A., & Landy, J. F. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319233 · Cited by 4 · see citing works

The Effect of CAPTCHA Exposure on Traveler's Online Behaviors

Kim, J., Park, S.-Y. I., & Jhang, J. (2022) · Journal of Smart Tourism · doi:10.52255/smarttourism.2022.2.4.2 · Cited by 4 · see citing works

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Shah, S. K., Acevedo-Duque, Á., Ardito, L., & Oláh, J. (2026) · British Food Journal · doi:10.1108/bfj-04-2025-0554 · Cited by 1 · see citing works

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Mantas, V., Kotoula, V., Zheng, C. Y., Nielson, D. M., & Stringaris, A. K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290881 · Cited by 1 · see citing works

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Chagas-Bastos, F. H. (2023) · Personality and Social Psychology Bulletin · doi:10.1177/01461672231213899 · Cited by 1 · see citing works

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Hildenbrand, G. M., & Ammon, M. L. (2024) · Communication Quarterly · doi:10.1080/01463373.2024.2356521 · Cited by 1 · see citing works

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Chou, S. Y., Chang, T., & Lakshman, S. (2024) · Psychological Reports · doi:10.1177/00332941241265958 · Cited by 1 · see citing works

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Miller, M. C. (2023) · doi:10.31274/td-20240329-576 · Cited by 1 · see citing works

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Zou, G., Tang, J., & Yılmaz, L. (2025) · International Journal of Control Automation and Systems · doi:10.1007/s12555-024-0702-x

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Smith, B. R. (2019) · Journal of the Midwest Association for Information Systems · doi:10.17705/3jmwa.000050 · Cited by 40 · see citing works

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Shimoni, H., & Axelrod, V. (2025) · Royal Society Open Science · doi:10.1098/rsos.250361 · Cited by 10 · see citing works

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Ahler, D. J., Roush, C. E., & Sood, G. (2021) · Political Science Research and Methods · doi:10.1017/psrm.2021.57 · Cited by 121 · see citing works

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Agley, J. D., Xiao, Y., & Nolan, R. (2020) · doi:10.17605/osf.io/sv9ea · Cited by 1 · see citing works

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