| Digital disruption at the grocery store S Begley, E Marohn, S Mikha, A Rettaliata McKinsey & Company: London, UK, 1-8, 2020 | 27 | 2020 |
| Mcjoin: A memory-constrained join for column-store main-memory databases SK Begley, Z He, YPP Chen Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012 | 21 | 2012 |
| Automation in retail: An executive overview for getting ready S Begley, B Hancock, T Kilroy, S Kohli McKinsey & Company Retail Insights, 2019 | 20 | 2019 |
| How analytics and digital will drive next-generation retail merchandising S Begley, R Fox, G Lunawat, I MacKenzie McKinsey & Company, 2018 | 16 | 2018 |
| Making online grocery a winning proposition B Aull, S Begley, V Chandra, V Mathur McKinsey & Company, 2021 | 12 | 2021 |
| The next normal: Retail M&A and partnerships after Covid-19 H Atmar, S Begley, J Fuerst, S Rickert, R Slelatt, M Tjon Pian Gi McKinsey Report, 2020 | 12 | 2020 |
| Turning private labels into powerhouse brands S Begley, A McOuat Retail: Our Insights, 2020 | 10 | 2020 |
| PaMeCo join: A parallel main memory compact hash join S Begley, Z He, YPP Chen Information Systems 58, 105-125, 2016 | 5 | 2016 |
| The next normal in retail: Charting a path forward S Begley, B Coggins, M Maloney, S Noble Retail and Consumer Packaged Goods Practices, 2020 | 3 | 2020 |
| Retail reset: A new playbook for retail leaders S Begley, B Coggins, C Green, J Hamdan, D Kuijpers, F Laizet The McKinsey Quarterly, 2023 | 2 | 2023 |
| PAMECO AND BLOOMFIELD: Memory-constrained join and filter algorithms for main-memory database systems SK Begley La Trobe, 2016 | | 2016 |
Zhen HeAssociate Professor, La Trobe UniversityE-mail confirmado em latrobe.edu.au
