| Determinants of relationship quality: an artificial neural network analysis D Bejou, B Wray, TN Ingram Journal of Business Research 36 (2), 137-143, 1996 | 531 | 1996 |
| Using neural network analysis to evaluate buyer‐seller relationships B Wray, A Palmer, D Bejou European journal of Marketing 28 (10), 32-48, 1994 | 499 | 1994 |
| Kanban setting through artificial intelligence: A comparative study of artificial neural networks and decision trees IS Markham, RG Mathieu, BA Wray Integrated Manufacturing Systems 11 (4), 239-246, 2000 | 64 | 2000 |
| A rule induction approach for determining the number of kanbans in a just-in-time production system IS Markham, RG Mathieu, BA Wray Computers & industrial engineering 34 (4), 717-727, 1998 | 56 | 1998 |
| Evaluating the performance of open source software projects using data envelopment analysis B Wray, R Mathieu Information Management & Computer Security 16 (5), 449-462, 2008 | 32 | 2008 |
| Neural network identification of critical factors in a dynamic just-in-time Kanban environment BA Wray, TR Rakes, LP Rees Journal of Intelligent Manufacturing 8, 83-96, 1997 | 17 | 1997 |
| Minimalism in data visualization: Perceptions of beauty, clarity, effectiveness, and simplicity S Hill, B Wray, C Sibona Journal of Information Systems Applied Research 11 (1), 34, 2018 | 14 | 2018 |
| A dynamic and static analysis of the uber mobile application from a privacy perspective D Hayes, C Snow, S Altuwayjiri Journal of information systems applied research 11 (1), 11, 2018 | 13 | 2018 |
| Determining the propensity for academic dishonesty using decision tree analysis BA Wray, AT Jones, PW Schuhmann, RT Burrus Ethics & Behavior 26 (6), 470-487, 2016 | 11 | 2016 |
| An approach to learning from both good and poor factory performance in a kanban-based just-in-time production system RG Mathieu, BA Wray, IS Markham Production Planning & Control 13 (8), 715-724, 2002 | 11 | 2002 |
| Estimating the number of kanbans using neural networks TR Rakes, L Rees, FC Siochi, BA Wray Advances in Artificial Intelligence in Economics, Finance, and Management 1 …, 1994 | 11 | 1994 |
| Evaluating and Improving the Assessment of Undergraduate Student Writing in a School of Business at a Large Regional University. D Glew, T Meyer, B Sawyer, P Schuhmann, B Wray Journal of Effective Teaching 11 (2), 55-74, 2011 | 7 | 2011 |
| Identifying how determinants impact security-based open source software project success using rule induction BA Wray, RG Mathieu, JM Teets International Journal of Electronic Marketing and Retailing 2 (4), 352-362, 2009 | 7 | 2009 |
| Validating the effectiveness of a locally developed assurance of learning assessment B Wray, D Glew, R Burrus, S Hill, P Schuhmann Journal of Education for Business 95 (4), 216-226, 2020 | 5 | 2020 |
| An Artificial Neural Network Approach to Learning from Factory Performance in a Kanban-Based System BA Wray, IS Markham, RG Mathieu Journal of International Information Management 12 (2), 7, 2003 | 5 | 2003 |
| Preparing for audit data analytics with the AICPA general ledger audit data standards LS Lee, G Casterella, B Wray Journal of Emerging Technologies in Accounting Teaching Notes 18 (1), 13-39, 2021 | 3 | 2021 |
| Improving the prediction of employee productivity: a comparison of ordinary least squares versus genetic algorithms coupled with artificial neural networks SE Markham, IS Markham, BA Wray International Journal of Productivity and Quality Management 1 (4), 379-396, 2006 | 3 | 2006 |
| The application of DEA to measure the efficiency of open source security tool production R Mathieu, B Wray AMCIS 2007 proceedings, 118, 2007 | 2 | 2007 |
| Artificial neural networks for predicting the optimal number of kanbans in a JIT manufacturing environment S Narayan, BA Wray, RG Mathieu IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 2 | 1999 |
| Prediction and control in a Just-In-Time environment using neural networks BA Wray Virginia Tech, 1992 | 2 | 1992 |
