| Neural network models for time series forecasts T Hill, M O'Connor, W Remus Management science 42 (7), 1082-1092, 1996 | 705 | 1996 |
| Artificial neural network models for forecasting and decision making T Hill, L Marquez, M O'Connor, W Remus International journal of forecasting 10 (1), 5-15, 1994 | 677 | 1994 |
| Time series forecasting using neural networks: Should the data be deseasonalized first? M Nelson, T Hill, W Remus, M O'Connor Journal of forecasting 18 (5), 359-367, 1999 | 265 | 1999 |
| Non-representational marketing theory T Hill, R Canniford, J Mol Marketing Theory 14 (4), 377-394, 2014 | 178 | 2014 |
| Exploring consumer responsibility for sustainable consumption MG Luchs, M Phipps, T Hill Journal of Marketing Management 31 (13-14), 1449-1471, 2015 | 141 | 2015 |
| Neural network models as an alternative to regression L Marquez, T Hill, R Worthley, W Remus Proceedings of the Twenty-Fourth Annual Hawaii International Conference on …, 1991 | 126 | 1991 |
| Against Modern Football: Mobilising Protest Movements in Social Media T Hill, R Canniford, P Millward Sociology 52 (4), 688-708, 2018 | 94 | 2018 |
| Nosenography: How smell constitutes meaning, identity and temporal experience in spatial assemblages R Canniford, K Riach, T Hill Marketing Theory 18 (2), 234-248, 2018 | 89 | 2018 |
| Toward third generation threaded discussions for mobile learning: opportunities and challenges for ubiquitous collaborative environments TR Hill, M Roldan Information Systems Frontiers 7, 55-70, 2005 | 88 | 2005 |
| Neural network models for intelligent support of managerial decision making T Hill, W Remus Decision Support Systems 11 (5), 449-459, 1994 | 70 | 1994 |
| The roar of the crowd: How interaction ritual chains create social atmospheres T Hill, R Canniford, GM Eckhardt Journal of Marketing 86 (3), 121-139, 2022 | 61 | 2022 |
| Function approximation using backpropagation and general regression neural networks L Marquez, T Hill [1993] Proceedings of the Twenty-sixth Hawaii International Conference on …, 1993 | 48 | 1993 |
| Can neural networks applied to time series forecasting learn seasonal patterns: an empirical investigation Nelson, Remus 1994 Proceedings of the Twenty-Seventh Hawaii International Conference on …, 1994 | 43 | 1994 |
| A prototype knowledge-based simulation support system TR Hill, SD Roberts Simulation 48 (4), 152-161, 1987 | 41 | 1987 |
| Neural network models for forecast: a review L Marquez, T Hill, M O'Connor, W Remus Proceedings of the Twenty-Fifth Hawaii International Conference on System …, 1992 | 36 | 1992 |
| Playing ‘catch up’with blended learning: performance impacts of augmenting classroom instruction with online learning T Hill, L Chidambaram, JD Summers Behaviour & Information Technology 36 (1), 54-62, 2017 | 33 | 2017 |
| Influencing customer’s purchase intentions through firm participation in online consumer communities LJ Albert, N Aggarwal, TR Hill Electronic Markets 24, 285-295, 2014 | 29 | 2014 |
| Risk knowledge and concern as influences of purchase intention for internet of things devices N Aggarwal, LJ Albert, TR Hill, SA Rodan Technology in Society 62, 101311, 2020 | 23 | 2020 |
| Intelligent career advisers in your pocket? A need assessment study of chatbots for student career advising T Lee, K Jagannath, N Aggarwal, R Sridar, S Wilde, T Hill, Y Chen | 22 | 2019 |
| Mood-management in the English premier league T Hill Assembling consumption, 155-171, 2015 | 20 | 2015 |
William RemusProfessor of Information Technology, University of HawaiiEmail verificata su hawaii.edu
