S
Saileshsingh Gunessee
Researcher at The University of Nottingham Ningbo China
Publications - 17
Citations - 332
Saileshsingh Gunessee is an academic researcher from The University of Nottingham Ningbo China. The author has contributed to research in topics: Experimental economics & Supply chain. The author has an hindex of 5, co-authored 17 publications receiving 161 citations. Previous affiliations of Saileshsingh Gunessee include University of Nottingham.
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Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
TL;DR: In this paper, the authors use the behavioural decision theory (BDT) to better embed ambiguity in a generic supply chain decision-making (SCDM) framework and show that ambiguity is shown to distinctively affect supply chain decisions and having correspondence with specific coping mechanisms.
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Non-tariff and overall protection: evidence across countries and over time
TL;DR: In this article, the authors analyzed the evolution of the incidence and intensity of non-tariff measures (NTMs) over time from a newly available database and provided evidence on the evolution.
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The Geography of Chinese Science
TL;DR: In this article, gravity models of intercity scientific coauthorships show that there are two types of spatial political bias in China, apart from the expected mass and distance effects, and this Beijing bias is increasing over time.
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Natural disasters, PC supply chain and corporate performance
TL;DR: In this paper, the authors provide quantitative evidence of natural disasters' (NDs) effect on corporate performance and studies the mechanisms through which the supply chain moderates and mediates the link.
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The social preferences of local citizens and spontaneous volunteerism during disaster relief operations
TL;DR: This paper synthesises the literature on social preferences from the field of behavioural economics and social psychology with the discourse surrounding behavioural operations management and humanitarian operations management to identify the motivators, enablers and barriers of local citizen response during disaster relief operations.