1816 papers
This study utilizes OLS analysis of data from 2007–2023 to reveal that while a favorable investment environment and R&D interaction generally boost productive capacity in developed nations, specific investment restrictions negatively impact developing countries, even though the interactive effect of R&D on investment components is stronger in developing economies.
This paper argues that Portugal's notarial reform demonstrates how an *ad valorem* fee ceiling functions as an entry rule that shapes market structure, revealing that transaction volume and value act as substitutes rather than complements in determining whether municipalities operate under competition or private monopoly.
This study employs a bibliometric and content analysis of 121 articles to systematize the fragmented literature on Web 3.0 marketing, identifying key thematic clusters, theoretical foundations, and a structured research agenda to guide future scholarly and practical developments in blockchain, decentralization, and the metaverse.
This paper argues that whether AI helps poorer countries catch up depends not on access to the technology itself, but on a nation's human capital capacity to absorb and implement it, as countries with higher human capital exhibit significantly faster productivity mobility while those with lower capacity risk remaining trapped at the bottom despite cheaper intelligence.
This paper introduces the Ergodicity Model of Well-being (EMW) to demonstrate that population-level averages often fail to represent individual life trajectories due to non-ergodic factors like compounding resources and absorbing states, thereby creating a systematic positive gap between aggregate evidence and personal experience.
Using panel data from 296 Chinese cities (2017–2023), this study demonstrates that smart governance significantly reduces urban carbon emissions by fostering government innovation support and accelerating industrial upgrading, with the most pronounced effects observed in eastern, large, and non-old industrial base cities.
This paper introduces RAROC⁺, an upgraded, transaction-level risk-based pricing framework that integrates IFRS 9 expected credit losses, economic capital, ESG risks, and management rules into a unified closed-form model to determine minimum loan interest rates and streamline corporate lending processes from credit approval to profitability management.
This study of Chinese listed firms from 2016 to 2024 finds that while firm-level perceived uncertainty theoretically aligns with real options theory by negatively impacting innovation, it ultimately demonstrates no statistically significant effect on R&D or patent activities, whereas firm-specific characteristics like size, age, and cash flow are the primary drivers.
This study theorizes electronic word of mouth (eWOM) as a critical upstream reputational infrastructure in international entrepreneurship, demonstrating how algorithmic path dependence, cultural distance, and stakeholder diversity shape the interpretation of digital signals to build legitimacy and manage trust across borders.
This study proposes a machine learning-based strategic model for a Portuguese travel tech startup's market expansion, demonstrating that a weighted K-Means approach effectively identifies high-potential European cities like Zagreb and Warsaw while offering a broadly applicable methodology for the tourism industry.