To understand the slow adoption of blockchain technology by organisations, we conduct a systematic literature review of adoption factors using a mixed-methods approach. Using thematic analysis, 880 factors are identified and grouped into 29 themes, which offer a comprehensive overview of the...

This paper presents a thorough examination of centralized use of a decentralized technology (blockchain) in monetary and financial systems at the national level. A comparative study is conducted to summarize the regulatory and legislative frameworks of currency/asset tokenization in seven major...

Building on a mixed data sampling (MIDAS) model we evaluate the predictive power of a variety of monthly macroeconomic indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day prior to GDP release and track the release days...

To capture the role of politics in tourism, we propose a novel measure to quantify political relations based on text analysis of published diplomatic statements. We explain how political relations affect outbound tourist flows from China to Japan and Korea. Estimated on monthly data...

The study proposes an agent-based model to investigate how adoption of climate smart agriculture (CSA) affects food security. The analysis investigates the role of social and ecological pressures (i.e. community network, climate change and environmental externalities) on the adoption of physical...

This paper investigates how accounting standards (AS) convergence influences Chinese firms' overseas mergers and acquisitions (M&As) and shows that this convergence significantly promotes Chinese firms' overseas M&As. Specifically, we find that both the probability of success and the value of...