Projected changes in temperature and precipitation over mainland Southeast Asia by CMIP6 models von Supharatid, S., Nafung, J., Aribarg, T.

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Assessing potential flood vulnerability to climate change by CMIP3 and CMIP5 models: case study of the 2011 Thailand great flood von Supharatid, S, Aribarg, T, Supratid, S

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Contemporary Classification on Medical Data based on Non-Linear Feature Extraction von Aribarg, T., Supratid, S., Lursinsap, C.

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Native Advertising in Online News: Trade-Offs Among Clicks, Brand Recognition, and Website Trustworthiness von Aribarg, Anocha, Schwartz, Eric M.

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The Importance of Price Beliefs in Consumer Search von Jindal, Pranav, Aribarg, Anocha

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The Moral Significance of Aesthetics in Nature Imagery von Kim, Eunsoo, Cunningham, Julia Lee, Aribarg, Anocha

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Bias-corrected CMIP6 climate model projection over Southeast Asia von Supharatid, Seree, Aribarg, Thannob, Nafung, Jirawat

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Can firms benefit from integrating high-frequency survey measures with objective service quality data? von Cho, Jihoon, Aribarg, Anocha, Manchanda, Puneet

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Simulated Precipitation and Reservoir Inflow in the Chao Phraya River Basin by Multi-model Ensemble CMIP3 and CMIP5 von Aribarg, Thannob, Supratid, Seree

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Marketing at Ross: 100 Years of Academic and Business Impact von Wooten, David B., Aribarg, Anocha

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Private Label Imitation of a National Brand: Implications for Consumer Choice and Law von ARIBARG, ANOCHA, ARORA, NEERAJ, HENDERSON, TY, KIM, YOUNGJU

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An Integration of Stationary Wavelet Transform and Nonlinear Autoregressive Neural Network with Exogenous Input for Baseline and Future Forecasting of Reservoir Inflow von Supratid, Siriporn, Aribarg, Thannob, Supharatid, Seree

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Raising the BAR: Bias Adjustment of Recognition Tests in Advertising von ARIBARG, ANOCHA, PIETERS, RIK, WEDEL, MICHEL

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Category-Based Screening in Choice of Complementary Products von Aribarg, Anocha, Foutz, Natasha Zhang

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Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning von Preechathammawong, Noppamate, Charoenpitakchai, Mongkon, Wongsason, Nutthawat, Karuehardsuwan, Julalak, Prasoppokakorn, Thaninee, Pitisuttithum, Panyavee, Sanpavat, Anapat, Yongsiriwit, Karn, Aribarg, Thannob, Chaisiriprasert, Parkpoom, Treeprasertsuk, Sombat, Chirapongsathorn, Sakkarin

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Assessment of work-related stress utilizing the Find My Stress mobile application among university students and adult workers amidst the COVID-19 pandemic von Yoopat, Pongjan, Thoicharoen, Pornkamon, Liammanee, Weerawat, Aribarg, Thannob, Yongsiriwit, Karn, Chaisiriprasert, Parkpoom

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Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making von Mormann, Milica, Griffiths, Tom, Janiszewski, Chris, Russo, J. Edward, Aribarg, Anocha, Ashby, Nathaniel J. S., Bagchi, Rajesh, Bhatia, Sudeep, Kovacheva, Aleksandra, Meissner, Martin, Mrkva, Kellen J.

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Tipping the Scale: The Role of Discriminability in Conjoint Analysis von ARIBARG, ANOCHA, BURSON, KATHERINE A., LARRICK, RICHARD P.

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Statistical downscaling rainfall using artificial neural network: significantly wetter Bangkok? von Vu, Minh Tue, Aribarg, Thannob, Supratid, Siriporn, Raghavan, Srivatsan V, Liong, Shie-Yui

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Editorial: Next Steps for Frontiers in Marketing Science von Aribarg, Anocha, Chan, Tat, S. Desai, Preyas, Mehta, Nitin, Subramanian, Upender, Toubia, Olivier, C. Wilbur, Kenneth

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