… network. The reason is that these relationships and ties are driven by social influence[1-2], … is the most important phenomenon that distinguishes socialnetwork from other networks[3]. …
AV Prakash, A Joshi, S Nim, S Das - The Service Industries Journal, 2023 - Taylor & Francis
… We sent out invites online to about 1,980 people to participate in our survey, either through mailers and/or direct messages on socialmedia. Importantly, we did not offer any incentives …
L Monninkhoff, S Kaden, WF Geiger, D Nijssen… - homepage.rub.de
… , which allows multipleattributes, both … decisionprocess within a dynamic decision environment. The RGM/IDM technique belongs to the group of multi-attributedecisionmaking (MADM…
… For interaction behavior of users in online socialnetworks,we build a biased diffusion model to explain time interval distribution characteristics of group posting and event by relating …
R Ahmad, MI Ishaq - The Service Industries Journal, 2023 - Taylor & Francis
… the relationship between the content type of a socialmedia post and purchase intentions. Different types of content posted on socialmedia triggers a different type of envy. For instance, …
… The results showed that the social, economic and ecological desires of stakeholders and their socialnetworks had statistically significant impacts on governance decisions-making. …
LM Mao - College Composition & Communication, 2019 - publicationsncte.org
… focusing on cultural sites ranging from popular culture to socialmedia, to education, to pedagogy, to academic theory. In this perpetual process of haunting, I might add, haunting …
J Yang, B Yuan, P Hu - Journal of China Tourism Research, 2009 - Taylor & Francis
… Although the potential tourists will mainly consider variousattributes of destination when they … to fully comprehend people's destination image formation and destination choiceprocess. …
… network communities to enhance the predicting effectiveness of emerging scientific trends. [Methods] Based … model integrating vocabulary functional attributes to predict emerging trends …