Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

Purpose The study aims to investigate how hotel booking attributes (ie perceived privacy,
perceived certification and perceived assurance) engender consumers' untrust and …

Abstract The development of New Energy Vehicles (NEVs) has contributed to the alleviation
of environmental pollution in the transportation sector. Although NEVs have some …

Using trust relationships can improve the accuracy of recommendation systems; however, it
is affected by data sparsity. Random walks can harvest the behavioral relationships between …

Nowadays, the trend of evolution of connected devices, communication networks, and cloud
services towards the internet of things (IoT) has facilitated the interaction between smart …

Establishing service-driven IoT systems that are reliable, efficient, and stable requires
building trusted IoT environments to reduce catastrophic and unforeseen damages. Hence …

The Network representation learning methods based on random walk aim to learn a low-
dimensional embedding vector for each node in a network by randomly traversing the …

This study examined the factors determining social commerce purchase and
recommendation intentions within the context of swift guanxi. The data analysis was …

Discovering knowledge combination has been considered an effective strategy for
knowledge retrieval and knowledge discovery. Generally, knowledge combination driven by …

As the leading country in terms of environmental pollution production, China is experiencing
increasing environmental risks. This study explored the types and severity perception of the …