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Now showing items 1-7 of 7
A constrained agglomerative clustering approach for unipartite and bipartite networks with application to credit networks
(Information Sciences, 2020)
Researchers and practitioners have been interested in solving real-world problems through clustering. The clustering of nodes in networks with unipartite or bipartite structure is important to explore real-world complex ...
Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach
(Emerald Publishing, 2021-05-05)
Purpose
Communities representing groups of agents with similar interests or functions are one of the essential features of complex networks. Finding communities in real-world networks is critical for analyzing complex ...
The impact of social reputation features in innovation tournaments: evidence from a natural experiment
(informs, 2022-03-24)
This study examines how a change in an online reputation system, specifically the addition of a social reputation feature, affects contestant performance in innovation tournaments. Drawing from the literature on peer ...
Towards dissemination, detection and combating misinformation on social media: a literature review
(Emerald, 2022-11-22)
Purpose
Social media is becoming a hub of fake content, be it political news, product reviews, business promotion or any other sociocultural event. This study aims to provide a comprehensive review of the emerging ...
Polarised social media discourse during COVID-19 pandemic: evidence from YouTube
(Taylor & Francis, 2022-04-11)
The onset of the COVID-19 pandemic has attracted significant attention on social media platforms as these platforms provide users unparalleled access to ‘information’ from around the globe. In spite of demographic differences, ...
Frugal innovation: a structured literature review of antecedents, enablers, implications and directions for future research
(Routledge, 2022)
Frugal Innovation (FI), a growing field in innovation and management literature, is at the forefront of economic development and growth, more importantly for developing economies. Moreover, the volatile and uncertain times ...
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
(Springer, 2022-09-30)
Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential ...