Harnessing big data analytics in studying contemporary management challenges

Event details

Exploring the methodological innovations in big data analytics and how they can be better utilised to examine contemporary management topics and the global grand challenges of modern times.

Speaker

Dr Jie Sheng

Jie Sheng is a Lecturer in Management at the School of Management, University of Bristol. She obtained her PhD and MSc from Bristol and holds a BSc in Economics. Her current research focuses on online social interactions and networks, firm engagement with digital technologies and platforms, new media and media exposure, and data-driven strategies in operations management and marketing practices. 

Abstract

Management scholars have long recognised the value of big data to understand the past and predict the future. When a “black swan” event such as the COVID-19 related global crisis happens, it is observed that data analytics offers an effective pathway to make sense of the event. In this paper, we explore the methodological innovations in big data analytics and how they can be better utilised to examine contemporary management topics and the global grand challenges of modern times. Against the backdrop of the pandemic, data analytics offers significant opportunities to scholars across the developed and developing economies interested in studying future employment trends, global crisis and its impact on innovation and knowledge sharing, business resilience driven by the digital and analytics capabilities, and the future functioning and sustainability of global supply chains. In the light of these promising areas, we encourage the management research community to explore various analytical approaches to support the efforts made globally and locally to deal with unprecedented challenges brought on by the COVID-19 pandemic and its aftermath.

Booking information

CBiS Seminars are open to everyone, but prior booking is mandatory.

Enquiries

researchproservices.fbl@coventry.ac.uk 

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