Dr Shuyang Li
BSc (Hons), MSc, PhD
Lecturer in Information and Operations Management
Full contact details
Sheffield University Management School
Dr Shuyang Li is a Lecturer in Information and Operations Management at the Sheffield University Management School. She is also the Programme Director of MSc Logistics and Supply Chain Management (LSCM).
Her research focuses on information systems and digital transformation, with a particular concentration on examining the impact of digital technologies in influencing user behaviours and organisational practices. She also studies the management of information and knowledge, and examines how this informs organisational operations. Her research has been published in international journals including British Journal of Management, Information Systems Frontiers, Technological Forecasting and Social Change, Industrial Management & Data Systems, IEEE Internet of Things, among others.
- Research interests
- Digital analytics
- IT-enabled operation, innovation and business value
- Socio-technical aspects of system design and implementation
- Information and knowledge management
- Eliciting positive emotion through strategic responses to COVID-19 crisis: Evidence from the tourism sector. Tourism Management, 90. View this article in WRRO
- Value co-creation in industrial AI: The interactive role of B2B supplier, customer and technology provider. Industrial Marketing Management, 98, 105-114.
- Data quality affecting big data analytics in smart factories : research themes, issues and methods. Symmetry, 13(8). View this article in WRRO
- Shaping a smart transportation system for sustainable value co-creation. Information Systems Frontiers. View this article in WRRO
- Socio-technical barriers affecting large-scale deployment of AI-enabled wearable medical devices among the ageing population in China. Technological Forecasting and Social Change, 166. View this article in WRRO
- Corporate responses to the Coronavirus crisis and their impact on electronic-word-of-mouth and trust recovery : evidence from social media. British Journal of Management. View this article in WRRO
- Big data governance and algorithmic management in sharing economy platforms : a case of ridesharing in emerging markets. Technological Forecasting and Social Change, 161. View this article in WRRO
- An architecture for IoT-enabled smart transportation security system: a geospatial approach. IEEE Internet of Things Journal. View this article in WRRO
- Barriers of Embedding Big Data Solutions in Smart Factories: Insights from SAP Consultants. Industrial Management & Data Systems, 119(5), 1147-1164. View this article in WRRO
- Knowledge sharing in project work: the dynamic interplay of knowledge domains and skills. Journal of Knowledge Management. View this article in WRRO
Conference proceedings papers
- Managing changes initiated by industrial big data technologies : a technochange management model. Proceedings of the 7th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI 2019) (pp 75-87). Orlando, FL, USA, 26 July 2019 - 31 July 2019. View this article in WRRO
- Enablers for embedding big data solutions in smart factories: An empirical investigation. Proceedings of the 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019
- A Framework of Critical Knowledge Sharing Skills. iConference 2017 Proceedings
- Applying Grounded Theory in Complex Case Study Context - Issues and Lessons Learned From Knowledge Management Research. PROCEEDINGS OF THE 15TH EUROPEAN CONFERENCE ON RESEARCH METHODOLOGY FOR BUSINESS AND MANAGEMENT STUDIES (ECRM2016) (pp 149-158)
- Research group
- Logistics and Supply Chain Management
- Teaching activities
Shuyang is currently the module leader for MGT6083 Supply Chain Technology. She has also co-teached following modules:
- MGT136 Management themes and perspectives
- MGT137/138 Analysis for Decision Making
- MGT218 Business Intelligence
- MGT6129 Management Inquiry
- MGT6237 Individual MBA Challenge
- PhD supervision
I am looking forward to interacting with prospective PhD applicants especially if you share interests of doing research in areas including digital transformation, implementation and impact of emerging technologies, and information & knowledge management.
I am particularly interested in the context of manufacturing, transportation and construction industries.