Big Data and Blockchain for Service Operations Management

lt;p>Ali Emrouznejad is a Professor and Chair in Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as big data and data mining. Dr Emrouznejad is editor of Annals of Operations Research, associate/guest editor or member of editorial board in number of other journals including European journal of Operational Research, Journal of Operational Research Society,  Socio-Economic Planning Sciences, IMA journal of Management Mathematics, OR Spectrum, RAIRO - Operations Research. He has published over 200 articles in top ranked journals; he is author of the book on "Applied Operational Research with SAS", editor of the books on "Performance Measurement with Fuzzy Data Envelopment Analysis" (Springer), "Managing Service Productivity" (Springer), "Big Data Optimization" (Springer), "Big Data for Greater Goods" (Springer) and "Handbook of Research on Strategic Performance Management and Measurement" (IGI Global). He is also co-founder of Performance Improvement Management Software (PIM-DEA).

Vincent Charles, PhD, PDRF, FRSS, FPPBA, is a Full Professor and the Director of the Center for Value Chain Innovation at CENTRUM Católica Graduate Business School, PUCP, Lima, Peru. He is an experienced researcher in the fields of artificial intelligence, data science, and OR/MS. He has more than two decades of teaching, research, and consultancy experience in various countries, in the fields of applied analytics/optimisation and big data science, having been a Full Professor and Director of Research for more than a decade. He holds Executive Certificates from the MIT, HBS, and IE Business School. He has published over 130 research outputs. He is a recipient of many international academic honours and awards. An AWS Certified Cloud Practitioner, AWS Accredited Educator, a certified Six Sigma Black Belt, and an Advance HE Certified External Examiner, UK.

Characteristics and trends in big data for service operations management research: A blend of descriptive statistics and bibliometric analysis.- Strategy Formulation and Service Operations in the Big Data Age: The Essentialness of Technology, People, and Ethics.- Modeling Big Data Enablers for Service Operations Management.