1096 papers
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.
This study of MSEs in Egypt, Jordan, and Morocco reveals that while these enterprises are vital for employment, their transformation into innovative, high-growth firms under crisis conditions depends not on isolated factors but on the synergistic alignment of financial access, governance, and human capital, necessitating systemic rather than fragmented policy interventions.
This study of 125 technology startup founders in Türkiye reveals that, within the Theory of Planned Behavior framework, a propensity for emerging technologies serves as a more significant driver of international entrepreneurial intention than traditional international experience, suggesting digital competence offers an alternative cognitive pathway to internationalization in developing economies.