The emergence of the fintech industry in China: An evolutionary economic geography perspective

Over the last decade, the global economy has rapidly becoming digited. Digital technologies have transformed the economy and society, affecting all sectors of activity around the world. Among them, the financial sector is one of the most digitalized sectors, and the term ‘fintech’ is coined to describe the digitalization of the financial sector. Although the global fintech landscape is currently geographically concentrated in the United States and Europe, the pace of China’s fintech development has been dramatically accelerated. However, it is quite surprising that there is hardly any study that investigates fintech in China from a subnational scale. To fill this gap, this dissertation conducts a city-level analysis of the emergence of the fintech industry in China. Theoretically, I position this dissertation within the broad literature on evolutionary economic geography (EEG), which has emerged as one of the main paradigms in economic geography. This dissertation aims to provide a comprehensive understanding of the emergence of the new industry in regions. Conventional wisdom in EEG posits that new industry in regions tends to grow out of technologically related pre-existing industries. However, this conventional understanding is somewhat technology-centric. In response, this dissertation extends the scholarly work from technology-centric to embrace the role of the demand-side market and institutional logic in the emergence of the new industry in regions. It proposes that not only supply-side technology but also demand-side market and institutional logics matter for the emergence of the new industry in regions. Moreover, this dissertation ascribes the underlying logic of how technology, market, and institutional logics matter to the agentic processes of asset modification, particularly redeploying pre-existing assets and creating new assets. In other words, the emergence of the new industry in regions results from relevant regional actors’ purposeful actions in terms of modifying technological, market, and institutional assets. Methodologically, there is a dualism in evolutionary economic geography research between qualitative and quantitative work. To seek a methodology integration, this dissertation proposes the mixed-method that is composed of four concrete approaches, namely the triangulation approach, the embedded approach, the sequential exploratory approach, and the sequential explanatory approach. Among these concrete approaches, the embedded approach is utilized in empirical work. The embedded approach in this dissertation refers to the embedding of the qualitative case study (which deals with the ‘how’ questions) into quantitative research (which deals with the ‘whether and to what extent’ questions). Empirically, this dissertation first examines the emergence of fintech industries in China’s cities based on the quantitative regression analysis (mainly dealing with the ‘whether and to what extent’ questions) and then zooms in on the city of Shenzhen, which is the largest fintech hub in southern China, based on the qualitative case study (mainly dealing with the ‘how’ questions). The findings are as follows. (1) Based on a unique dataset from 2003 – 2019, this dissertation provides a city-level analysis of the fintech industry in China. The econometric results show that fintech industries tend to emerge in cities that have more fintech-related technologies, particularly in the fields of finance, e-commerce, data sciences, and security. This confirms the principle of technological relatedness. Moreover, it finds a positive relationship between the development of the fintech industry and the demand for fintech services. To the best of my knowledge, this is the first systematic evidence of the significant positive role of the demand-side market in the emergence of the new industry in regions. (2) In order to uncover the underlying processes (the question of ‘how’) that lead to the above significantly positive effect, this dissertation resorts to the qualitative case study. The case study shows that the rise of Shenzhen’s fintech industry mainly grows out of Shenzhen’s pre-existing internet and financial industry. By systematically comparing the processes that internet and financial industry diversify into the fintech industry, it finds that the emergence of the fintech industry in Shenzhen result from internet and financial firms’ purposeful actions in terms of redeploying their pre-existing technologies, market, and institutional logics, as well as creating the new ones that are necessary for fintech but are missing for the internet or financial firms. In other words, it is the processes of asset modification, particularly redeploying pre-existing assets and creating new assets, that give rise to the birth of the fintech industry, leading to the positive relationships found in the quantitative regression analysis

The appraisal of Facebook online community: An exposition of mobile commerce in social media reviews

Peer reviewe

Unpacking platform business scaling in the digital age

Today’s increasingly pervasive digital technologies have radically transformed the competition landscape of the business world. To succeed in the digital age, digital businesses must establish and strengthen their ecosystem positions through rapid scaling. While extant literature in platform ecosystems identified the urgency of scaling for focal platforms, there is little recognition that non-focal actors (i.e., complementors) typically pursue their own growth ambitions. If successful, these ambitions may even shift the complementor’s position as a non-focal to a focal actor in the digital ecosystem. While such a scaling process opens new possibilities for the complementor, it also challenges its relations with focal platforms in the ecosystem on which it depends. This is what we refer to as the complementor’s dilemma: how can a non-focal actor pursue growth ambitions while maintaining favourable relationships with the focal platforms on which they grow? To address this research problem, a sequential mixed-method project combining qualitative research approaches with computational techniques was conducted. Developing on an in-depth embedded case study of the Chinese short video platform Douyin from its inception as a complementor in 2016 to its rapid establishment as a focal actor in 2018, we further test and generalise the findings for the entire social networking ecosystem in China. This allows for new empirical and theoretical perspectives on the navigation process of digital business scaling through identity projection. The findings suggest that non-focal businesses must continually locate and re-locate who they are in the moment and the trade-off of two, or multiple, future scenarios regarding their relationship with focal platforms, to cope with the complementor’s dilemma as they grow. Four identity projection strategies are further conceptualised as a powerful toolkit for balancing growth ambitions and dependency on other ecosystem actors during the scaling process. These findings contribute to the platform literature by offering a process model for non-focal businesses’ identity projection as they grow in digital ecosystems. The model offers important implications for our understanding of complementarity as a dynamic process involving purposeful identity re-projection, as non-focal businesses attempt to navigate tensions with focal platforms in digital ecosystems during growth. It also contributes to our understanding of digital business scaling beyond a high-growth consequence of firm size — a turbulent, uncertain, messy process to economies of complementarity in digital ecosystems

Information Management in Supply Chain Partnering: Improving Maintenance Processes in Dutch Housing Associations

From the article: "Abstract Maintenance processes of Dutch housing associations are often still organized in a traditional manner. Contracts are based on lowest price instead of ‘best quality for lowest price’ considering users’ demands. Dutch housing associations acknowledge the need to improve their maintenance processes in order to lower maintenance cost, but are not sure how. In this research, this problem is addressed by investigating different supply chain partnering principles and the role of information management. The main question is “How can the organisation of maintenance processes of Dutch housing associations, in different supply chain partnering principles and the related information management, be improved?” The answer is sought through case study research.

Platform Competition: A Systematic and Interdisciplinary Review of the Literature

Over the past three decades, platform competition—the competition between firms that facilitate transactions and govern interactions between two or more distinct user groups who are connected via an indirect network—has attracted significant interest from the fields of management and organizations, information systems, economics, and marketing. Despite common interests in research questions, methodologies, and empirical contexts by scholars from across these fields, the literature has developed mostly in isolated fashion. This article offers a systematic and interdisciplinary review of the literature on platform competition by analyzing a sample of 333 articles published between 1985 and 2019. The review contributes by (a) documenting how the literature on platform competition has evolved; (b) outlining four themes of shared scholarly interest, including how network effects generate “winner-takes-all” dynamics that influence strategies, such as pricing and quality; how network externalities and platform strategy interact with corporate-level decisions, such as vertical integration or diversification into complementary goods; how heterogeneity in the platform and its users influences platform dynamics; and how the platform “hub” orchestrates value creation and capture in the overall ecosystem; and (c) highlighting several areas for future research. The review aims to facilitate a broader understanding of the platform competition research that helps to advance our knowledge of how platforms compete to create and capture value

Recent Advances in Social Data and Artificial Intelligence 2019

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace

Increasing Retention and Knowledge Transfer Through Digital Storytelling and the Comics Medium: A Design Case

Asynchronous multimedia learning is a common form of delivering training in the workforce industry, and organizations rely on a completion status to measure that training. However, measuring retention and knowledge transfer of new material rarely occurs during asynchronous learning. Grounded in the Visual Language Theory (VLT) and a delivery modality of digital storytelling (DST) suggest that sequential images presented as a visual narrative have higher degrees of retention. Thus, knowledge transfer occurs when learners relate to the narrative and visual applications when engaging with a comics approach to learning. From 2019-2022 a story emerged to design and develop an asynchronous digital storytelling comic narrative about simulation obstetrics training for distribution to 700 nurses in Bihar, India. Chapter 1 introduces digital storytelling and the use of comics in medical education. Chapter 2 explores the literature around visual language theory, digital storytelling, and andragogy in comics. Chapter 3 investigates the initial design beginning in 2018 with the implementation study, to the Simulation Educator Training redesign in 2019. A thorough needs assessment introduces Chapter 4 with learner and context analysis, exposing communication barriers, culture representation, character development, and technology challenges. The initial deployment and subsequent feedback survey in late 2019 resulted in a major redesign beginning in 2020. The following two years resulted in ten comic episodes with shorter seat time, more in-depth explanations of abstract concepts, and interactive scenarios to practice real-world situations. Chapter 5 concludes with lessons learned, opportunities, and closing with the results of a final study conducted in late 2021 and published in February 2022 in the International Journal of Environmental Research and Public Health, resulting in an 86% increase in retention