| The severity of supply chain disruptions: design characteristics and mitigation capabilities CW Craighead, J Blackhurst, MJ Rungtusanatham, RB Handfield Decision sciences 38 (1), 131-156, 2007 | 2325 | 2007 |
| Firm's resilience to supply chain disruptions: Scale development and empirical examination S Ambulkar, J Blackhurst, S Grawe Journal of operations management 33, 111-122, 2015 | 1361 | 2015 |
| An empirically derived framework of global supply resiliency J Blackhurst, KS Dunn, CW Craighead Journal of business logistics 32 (4), 374-391, 2011 | 973 | 2011 |
| An empirically derived agenda of critical research issues for managing supply-chain disruptions J Blackhurst*, CW Craighead, D Elkins, RB Handfield International journal of production research 43 (19), 4067-4081, 2005 | 886 | 2005 |
| A model for inbound supply risk analysis T Wu, J Blackhurst, V Chidambaram Computers in industry 57 (4), 350-365, 2006 | 664 | 2006 |
| Supply chain disruption propagation: a systemic risk and normal accident theory perspective KP Scheibe, J Blackhurst International Journal of Production Research 56 (1-2), 43-59, 2018 | 463 | 2018 |
| Supplier risk assessment and monitoring for the automotive industry JV Blackhurst, KP Scheibe, DJ Johnson International journal of physical distribution & logistics management 38 (2 …, 2008 | 463 | 2008 |
| Methodology for supply chain disruption analysis T Wu, J Blackhurst, P O’grady International journal of production research 45 (7), 1665-1682, 2007 | 401 | 2007 |
| A structure–conduct–performance perspective of how strategic supply chain integration affects firm performance PM Ralston, J Blackhurst, DE Cantor, MR Crum Journal of supply chain management 51 (2), 47-64, 2015 | 387 | 2015 |
| Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach K Zhao, Z Zuo, JV Blackhurst Journal of operations Management 65 (2), 190-212, 2019 | 309 | 2019 |
| Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss? P Ralston, J Blackhurst International Journal of Production Research 58 (16), 5006-5019, 2020 | 291 | 2020 |
| A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective J Dai, J Blackhurst International Journal of Production Research 50 (19), 5474-5490, 2012 | 282 | 2012 |
| A contextual approach to supply chain risk mitigation W Chang, AE Ellinger, J Blackhurst The International Journal of Logistics Management 26 (3), 642-656, 2015 | 230 | 2015 |
| MMR: an algorithm for clustering categorical data using rough set theory D Parmar, T Wu, J Blackhurst Data & Knowledge Engineering 63 (3), 879-893, 2007 | 217 | 2007 |
| PCDM: a decision support modeling methodology for supply chain, product and process design decisions J Blackhurst, T Wu, P O’Grady Journal of Operations management 23 (3-4), 325-343, 2005 | 217 | 2005 |
| Supply chain disruptions and business continuity: An empirical assessment A Azadegan, M Mellat Parast, L Lucianetti, R Nishant, J Blackhurst Decision Sciences 51 (1), 38-73, 2020 | 213 | 2020 |
| A meta‐analytic review of supply chain risk management: assessing buffering and bridging strategies and firm performance P Manhart, JK Summers, J Blackhurst Journal of Supply Chain Management 56 (3), 66-87, 2020 | 183 | 2020 |
| Supplier evaluation and selection: an augmented DEA approach T Wu, J Blackhurst International Journal of Production Research 47 (16), 4593-4608, 2009 | 179 | 2009 |
| Adapting supply chain operations in anticipation of and during the COVID-19 pandemic M Rozhkov, D Ivanov, J Blackhurst, A Nair Omega 110, 102635, 2022 | 175 | 2022 |
| Network-based approach to modelling uncertainty in a supply chain J Blackhurst, T Wu, P O'grady International journal of production research 42 (8), 1639-1658, 2004 | 170 | 2004 |
Teresa WuProfessor, School of Computing and Augmented IntelligenceEmail confirmado em asu.edu
