Jiaqi Yan

Bio: Jiaqi Yan is an academic researcher from Nanjing University. The author has contributed to research in topics: Blockchain & Supply chain. The author has an hindex of 15, co-authored 47 publications receiving 1120 citations. Previous affiliations of Jiaqi Yan include University of Science and Technology of China & City University of Hong Kong.

Blockchain-based sharing services: What blockchain technology can contribute to smart cities

Abstract: The notion of smart city has grown popular over the past few years. It embraces several dimensions depending on the meaning of the word “smart” and benefits from innovative applications of new kinds of information and communications technology to support communal sharing. By relying on prior literature, this paper proposes a conceptual framework with three dimensions: (1) human, (2) technology, and (3) organization, and explores a set of fundamental factors that make a city smart from a sharing economy perspective. Using this triangle framework, we discuss what emerging blockchain technology may contribute to these factors and how its elements can help smart cities develop sharing services. This study discusses how blockchain-based sharing services can contribute to smart cities based on a conceptual framework. We hope it can stimulate interest in theory and practice to foster discussions in this area.

Overview of business innovations and research opportunities in blockchain and introduction to the special issue

Abstract: Blockchain has become a new frontier of venture capitals that has attracted the attention of banks, governments, and other business corporations. The recent blockchain related attempts included legal blockchains by Fadada.com and Microsoft and pork tracking blockchains by Walmart and IBM. Blockchain is poised to become the most exciting invention after the Internet; while the latter connects the world to enable new business models based on online business processes, the former will help resolve the trust issue more efficiently via network computing. In this paper, we give an overview on blockchain research and development as well as introduce the papers in this special issue. We show that while blockchain has enabled Bitcoin, the most successful digital currency, its widespread adoption in finance and other business sectors will lead to many business innovations as well as many research opportunities.

A Blockchain-Based Supply Chain Quality Management Framework

Abstract: Recent quality scandals reveal the importance of quality management from a supply chain perspective. Although there has been many related studies focusing on supply chain quality management, the technologies used still have difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in three challenges brought to the traditional centralized trust mechanism: self-interests of supply chain members, information asymmetry in production processes, costs and limitations of quality inspections. Blockchain is a promising technology to address these problems. In this paper, we discuss how to improve the supply chain quality management by adopting the blockchain technology, and propose a framework for blockchain-based supply chain quality management.

Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches

Abstract: Curbing the diffusion of health misinformation on social media has long been a public concern since the spread of such misinformation can have adverse effects on public health. Previous studies mainly relied on linguistic features and textual features to detect online health-related misinformation. Based on the Elaboration Likelihood Model (ELM), this study proposed that the features of online health misinformation can be classified into two levels: central-level and peripheral-level. In this study, a novel health misinformation detection model was proposed which incorporated the central-level features (including topic features) and the peripheral-level features (including linguistic features, sentiment features, and user behavioral features). In addition, the following behavioral features were introduced to reflect the interaction characteristics of users: Discussion initiation, Interaction engagement, Influential scope, Relational mediation, and Informational independence. Due to the lack of a labeled dataset, we collected the dataset from a real online health community in order to provide a real scenario for data analysis. Four types of misinformation were identified through the coding analysis. The proposed model and its individual features were validated on the real-world dataset. The model correctly detected about 85% of the health misinformation. The results also suggested that behavioral features were more informative than linguistic features in detecting misinformation. The findings not only demonstrated the efficacy of behavioral features in health misinformation detection but also offered both methodological and theoretical contributions to misinformation detection from the perspective of integrating the features of messages as well as the features of message creators.

How signaling and search costs affect information asymmetry in P2P lending: the economics of big data

Abstract: In the past decade, online Peer-to-Peer (P2P) lending platforms have transformed the lending industry, which has been historically dominated by commercial banks. Information technology breakthroughs such as big data-based financial technologies (Fintech) have been identified as important disruptive driving forces for this paradigm shift. In this paper, we take an information economics perspective to investigate how big data affects the transformation of the lending industry. By identifying how signaling and search costs are reduced by big data analytics for credit risk management of P2P lending, we discuss how information asymmetry is reduced in the big data era. Rooted in the lending business, we propose a theory on the economics of big data and outline a number of research opportunities and challenging issues.

Economics of Information

Abstract: The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Institutions and axioms: an extension and update of service-dominant logic

Abstract: Service-dominant logic continues its evolution, facilitated by an active community of scholars throughout the world. Along its evolutionary path, there has been increased recognition of the need for a crisper and more precise delineation of the foundational premises and specification of the axioms of S-D logic. It also has become apparent that a limitation of the current foundational premises/axioms is the absence of a clearly articulated specification of the mechanisms of (often massive-scale) coordination and cooperation involved in the cocreation of value through markets and, more broadly, in society. This is especially important because markets are even more about cooperation than about the competition that is more frequently discussed. To alleviate this limitation and facilitate a better understanding of cooperation (and coordination), an eleventh foundational premise (fifth axiom) is introduced, focusing on the role of institutions and institutional arrangements in systems of value cocreation: service ecosystems. Literature on institutions across multiple social disciplines, including marketing, is briefly reviewed and offered as further support for this fifth axiom.