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Abstract: Based on daily data of 749 active online P2P lending platforms in Chinese market, this study explores the key factors affecting the net cash inflow rate of the platform which is vital for its operation and survival from the perspective of reputation, structure design and FinTech ecosystem. Internal governance issues of P2P lending platforms are further discussed according to the model re...
Abstract: Mobile payment is quickly changing consumers’ spending patterns and payment habits. Many empirical studies have been conducted globally in the last decade about consumers’ mobile payment behavior. To analyze and synthesize the findings, a meta-analysis is conducted to build consensus about what factors significantly affect consumers’ mobile payment behavior. Overall, it is found that ...
Abstract: This paper studies systemic risk in the Chinese debt market stemming from inter-corporate loan guarantees using field data from Zhejiang Province. We apply a weighted and directed network model to analyse the implications for default contagion and systemic risk under different stress testing scenarios. The empirical results indicate that the topology of the loan guarantee network is clos...
Abstract: The recent financial crisis revealed that banks, especially these large and complex banks, are opaque to be monitored by regulators. In an ideal world, regulators are hoping all banks to be self-disciplined. That will reduce a lot burdens for regulators. However, in practice, it is not always the case as there will be by nature information asymmetric or information frictions between bank...
Abstract: The alarmingly high level of local government debt (LGD) in China threatens the financial stability, fiscal system, and sustainability of China's economic success. This study provides a comprehensive and in-depth understanding of the evolution and causes of LGD expansion by investigating institutional details, developing conceptual frameworks through economic and institutional lenses...
Abstract: Innovation has been a key topic of interest for the regional studies community. In particular, the regional characteristics and impacts of innovation have been a popular theme of enquiry and theorisation, and the community has been at the forefront of discussions around regional innovation systems, in particular. However, we see a large gap in the current state of the art around frugal i...
Abstract: The special issue, Rethinking Innovation and Development Discourses in the Light of COVID-19’ co-edited by Dr. Fayaz Ahmad Sheikh from Zhejiang University International Business School together with Prof. Xiaobo Wu, Dean of the School of Social Science Zhejiang University is published online by Sage’s Journal ‘Science Technology and Society’. This special issue empirically explo...
Abstract: The interlocks between smart product platforming (SPP) powered by Artificial Intelligence (AI) and Generative AI, big data analytics, and machine learning are still in their infancy. Modern technology-driven SPP promotes personalized product design and manufacturing suited to support environmentally friendly products for the circular economy. In this study, we develop a framework pe...
Abstract:PurposeDrawing upon the theory of communication visibility, this research intends to investigate the direct effect of enterprise social media (ESM) usage on team members’ knowledge creation capability (KCC) and the mediating effects of psychological safety and team identification. In addition, it aims to untangle how the efficacy of ESM usage varies between pre- and post-COVID-19 periods...
Abstract: The immense sustainability challenges facing by organization today have warranted research effort towards exploring industry 4.0 technology such as 3D Printing for new business model innovation. But how firms could leverage 3D Printing achieve sustainability needs more empirical studies, in particular, there are disconnect between industry 4.0-enabling technology and circular econom...
AbstractEnsuring the safe transportation of energy relies heavily on the timely safety inspection and pigging of energy pipelines using in-pipe inspection robots known as Smart/Intelligent PIGs. Addressing the potential risks of PIG block incidents and the limitations of excessive speed in the maintenance, real-time localization and tracking of these inspection robots has become imperative. Howeve...
AbstractHigh-resolution large-scale urban traffic speed estimation is vital for intelligent traffic management and urban planning. However, single-source data from commonly used sources like cameras, loop detectors, or onboard devices exhibit limitations due to uneven distribution and significant noise, especially in large-scale urban areas. Consequently, existing approaches relying on these singl...