Determining the Factors That Affect Resistance to Digital News Subscription During the COVID-19 Pandemic

EasyChair Preprint 8697

Abstract

The subscription of digital services has increased due to the COVID-19 pandemic. However, this was not the same for digital news subscription which remained low. Therefore, this study looks to study the factors that influence the resistance to digital news subscription during the COVID-19 pandemic. In order to achieve this, the Innovation Resistance Theory was applied. Data was collected through an online survey that yielded 199 responses. Based on the results of the data analysis, two out of the five barriers were revealed to have insignificant relationships with resistance. With that said, value barrier, risk barrier, and image barrier were established as significant facilitators of resistance. Several insights were then proposed to news media companies. Moreover, this study fills the theoretical gap of comprehending the antecedents of resistance on digital news during the COVID-19 pandemic.

Keyphrases: COVID-19 pandemic, Digital resistance, Innovation Resistance Theory, Partial least squares structural equation modeling

@booklet{EasyChair:8697,
  author    = {Luk Sheng Chin and Wei Heng Loh and Ming Fong Tan and Zhi Hui Tan and Xiu Ming Loh and Voon Hsien Lee and Garry Wei Han Tan},
  title     = {Determining the Factors That Affect Resistance to Digital News Subscription During the COVID-19 Pandemic},
  howpublished = {EasyChair Preprint 8697},
  year      = {EasyChair, 2022}}