By decomposing and analyzing the quadruple helix model and N-tuple helices into interacting triple helices, Leydesdorff and Lawton Smith’s (2022) research promises to open further the black box inside the higher-order helices, and provides a theoretical basis and guidance for the subsequent...

In 2013, China launched its ‘Belt and Road Initiative’ (BRI) as a major effort to enhance international trade and economic development. An important feature of the BRI is that it supports free trade regimes and a world economy based upon open regional cooperation. The concept of BRI involves...

Family firms face the dual challenge of succession and innovation. Based on the attention-based view, this study empirically investigates the effect of intergenerational power gap on corporate R&D investment, using a sample of Chinese listed family firms. We find that intergenerational power gap...

Purpose Aiming at the lack of explanatory power of traditional industrial organization theory in cross-border competition, by introducing the idea of ecological niche, the authors aim to explore the competitive situation of platform-based enterprises when they operate in multiple fields....

The interdependence between multiple lines of business has an important impact on determining loss reserves and risk capital, which are crucial for the solvency of a property and casualty (P&C) insurance company. In this work, we introduce the two-stage inference method using the Sarmanov family...

With the spread of COVID-19 around the world, the education industry faces enormous challenges. Some colleges and universities have launched online teaching. Comprehensive online teaching and student health checkups help students complete the set teaching content and return to school as soon as...

Management of financial risks and sound decision making rely on the accurate information and predictive models. Drawing useful information efficiently from big data with complex structures and building accurate models are therefore crucial tasks. Most commonly used methods for statistical...

Many financial and economic time series exhibit nonlinear patterns or relationships. However, most statistical methods for time series analysis are developed for mean-stationary processes that require transformation, such as differencing of the data. In this paper, we study a dynamic regression...

Previous studies indicate that individuals’ default behaviors on online peer-to-peer (P2P) lending platforms greatly influence other borrowers’ default intentions. However, the mechanism of this impact is not clear. Moreover, there is scarce research in regard to which factors influence the...

In an environment marked with phenomena such as globalization and creation, open innovation is critical for universities to cooperate with external resources and meet the requirements of the era. To investigate open innovation ecosystem of higher education, we use secondary data and interviews...