How Does Financial Technology Affect the Credit and Risk of Commercial Banks in China?

Miao Cheng(Miao Cheng) 아시아무역학회 2022 Journal of Asia Trade and Business Vol.9 No.1

Purpose - Fintech integrates the characteristics of “finance + technology”, applying emerging technologies such as big data, cloud computing, artificial intelligence, and blockchain, leading to a great challenge to existing financial service providers. With the rise in development of financial technology, Chinese fintech firms and online payments including third-party and mobile payments systems have attracted worldwide attention. Therefore, this paper aims to study the potential impact of financial technology on the traditional credit business of the banking sector from the perspectives of credit expansion and risk-sharing. Moreover, this study also explores how fintech influences Chinese commercial banks with the moderating effect of corporate governance. Design/Methodology/Approach - The study used a firm-level panel data of 34 Chinese banks over a period of 10 years from 2011 to 2020. The study applies a fixed regression method for hypotheses examining the relationship between fintech development and the credit supply and risk-taking of commercial banks. Findings - The results indicate that the development of fintech has significant impacts on the scale of credit loan and the level of risk bearing. Further research finds that board independence as a moderator positively and significantly influences fintech and bank credit loan scales, while board independence positively but insignificantly affects fintech and risk control in the banking sector. Research Implications - This paper enriches our understanding of the impacts of fintech on traditional financial institutions, and provides a new method for the operations of the banking sector. In addition, this paper provides a new research perspective for managers, especially in Chinese banking, to expand credit business under the moderating role of corporate governance mechanism.

Effect of Turbulent Fluctuation on Settling Behavior of Dredged Slurry in Sheared Condition

Miao-miao Song,Gui-zhong Xu,Jie Yin,Wei-juan Geng,Zhi-yan Zhou,Cheng-chun Qiu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.4

For the land shortage problem upon the city development in coastal areas, it is of great importance to improve the overall understanding of the settlement behavior of dredged slurry and determine the required site water storage capacity as well as the mechanical properties of the newly formed dredged slurry. This paper presents an experimental investigation on the effect of turbulent fluctuation on the settling behavior of dredged slurry in sheared condition via a self-developed testing apparatus namely double cylinder settling column. Test results showed that the settling velocity of the soil-water interface initially increased then decreased with the increasing rotation speed of the inner column. The interface would disappear and a stable suspended layer was observed when the rotation speed was greater than 20 rad/min, where water contents and grain composition were not changed over the depth. The particle content was closer to that of the original sample as the rotation speed kept increasing in the suspended layer. It was found that the stabilized flocs were gradually broken down by the turbulence effect existing in the sheared slurry. Moreover, the stabilized flocs were losing the stability gradually as the flowing velocity increased till 10 rad/min and the floc structure was broken down completely once the flowing velocity was greater than 20 rad/min.

A qualitative comparison study of information search behavior in online distribution

Miao MIAO 한국유통과학회 2021 유통과학연구 Vol.19 No.7

Purpose: This study offers suggestions to e-commerce companies for increasing shoppers’ repurchase intention by considering the effect of distribution information in online shopping. It applies complexity theory to incorporate habitual information search behavior and shopper characteristics into the Stimulus-Organism-Response model and indicates how these complex factors work together in online shopping. Research design, data, and methodology: This study used an interview survey of 158 Vietnamese consumers with an experience of online shopping. A fuzzy-set Qualitative Comparative Analysis (fsQCA) was used to examine the relationship between antecedents and outcomes depending on complex conditions in the given contexts. Results: The results (1) indicate the importance of observing information search patterns and investigating their influence on online distribution, and (2) clarify what kind of configurations, under what conditions, predict a high or low outcome; this provides evidence and hints for the development of frameworks for future studies. Conclusions: The findings suggest that shoppers’ unconscious, habitual behavior can work with conscious attitude factors, such as satisfaction, to increase their repurchase intention. Hence, e-commerce companies should consider how to present useful distribution information and create functions that allow shoppers to engage with a variety of information while increasing their repurchase intention on the site.

The Research on Demands and Development Strategy of Mobile Travel Service--an Empirical Study based on Chinese Scenic spot

Miao Miao,Jinzhao Shi,Yanfeng Chen 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.7

The Effect of Mental Factors on People’s Acceptance of Electronic Medical Recordin China

Miao Miao,Linqing Zeng,Xiaobo Ming 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

HABITUAL MOBILE SHOPPING BEHAVIOR: COMPARISON OF CHINESE AND VIETNAMESE CUSTOMERS

Miao Miao 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11

Consumers are increasingly using their smartphones for making purchases, with the other modes being traditional offline and online channels (Kim et al., 2017). In light of the growing number of smartphone users worldwide, many e-commerce companies have responded by launching mobile apps that offer more convenient and flexible shopping experiences to smartphone users (Bang et al., 2013). A number of e-commerce related studies have identified crucial differences between mobile shopping (m-shopping) and online shopping. They find that m-shopping provides greater flexibility in terms of time and place as well as multi-tasking capabilities (for instance, a mobile shopper can communicate with others and even post a picture of an item to social media asking for others’ opinions and comments, all while shopping via a mobile app). These types of apps simultaneously cater to consumers’ shopping and social affiliation needs (Yang et al., 2012). Current research has shown that this type of shopping has gradually become habitual or automatic (Shankar et al., 2016). This new type of e-commerce has brought about a change in the shopping behavior of customers, thereby challenging companies to develop specific strategies to attract this new breed of shoppers.

THE INFLUENCE OF INFORMATION SEARCHING PATTERNS ON CUSTOMER LOYALTY IN VIETNAMESE E-COMMERCE

Miao Miao 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11

DO THE DIFFERENT STORE FORMATS OF THE SAME BRAND MATTER TO CHINESE SHOPPERS? A STUDY ON A JAPANESE FASHION BRAND

Miao Miao 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

Despite the plethora of articles and research in marketing and retailing literatures focused on enhancing customer loyalty, the topic of how to best allocate resources to various loyalty-building efforts has always attracted interest from both academics and practitioners (Kamran-Disfani, et al., 2017). Much research has examined that satisfaction is a strong relative factor of loyalty. However, Kumar, et al. (2012) and Kamran-Disfani, et al. (2017) stressed that the satisfaction-loyalty link could depend on various moderators and mediators. And they pointed out the difference between two types of loyalty—attitudinal and behavioral, and the mediating effect of attitudinal loyalty within the satisfaction-behavioral loyalty link. Thus, there is a need for more studies empirically investigating the satisfaction-loyalty link and how satisfaction effects loyalty in different contexts. On the other hand, many companies have recently been building a greater variety of store formats and attempting to provide a superior shopping experience through their stores in order to increase the possibility of customer revisitation and customer loyalty. Also, consumers not only switch to different retailers in the same product categories but also change to different store formats for the same product purchasing (Anand and Sinha, 2009). The reasons can be considered as customers’ attitudes toward stores and preference of store atmosphere and environment (Wakefield and Baker, 1998). However, few research pays attention to the issue of how, and to what extent, the different store formats have on impacting customer satisfaction and loyalty building. This is especially true of retailers having entered a new overseas market, and how its loyalty building is effected by its store format choice during its developing stages. This study adopts a conceptual model from Kamran-Disfani, et al. (2017) and aims to examine the satisfaction-loyalty link and test if attitudinal loyalty could be a mediator between satisfaction and behavioral loyalty. And if so, do store formats matter to the satisfaction-loyalty link. In short, we develop hypotheses of how store atmosphere, customer satisfaction, attitudinal loyalty, behavioral loyalty are related, and how store format moderates these relationships. In order to improve the understanding of the satisfaction-loyalty link in the context of retail internationalization, we survey a Japanese fashion company — Nice Claup who segmented the Chinese market by operating multiple retail stores, and each retail store plays a discrete role of cultivating customer loyalty. In our analysis, we compare two store formats of Nice Claup, which are the single brand specialty store and the multi-brand store (defined as ―house brand store‖ in this paper). House brand stores aim to offer novel shopping experiences by gathering several Japanese fashion brands into one large store, with each brand having their own detached areas for keeping each brand’s identity separate and recognizable, but are connected to each other by an integrated store design. Both of these two types of stores are named ―Nice Claup‖, and operated by the same retailer. We choose a 388-customer survey data as our sample. All of these customers have purchased clothes at Nice Claup’s stores over 5 times per year and have been given special member’s card by Nice Claup in Shanghai, China. This 388-customer data obtains 180 consumers who always purchase at house brand stores, and 208 consumers who always purchase at single-brand specialty stores. Hypotheses are tested using an ordinary least squares regression model with a cross-store format comparative analysis. The results suggest that while attitudinal loyalty positively and directly influences behavioral loyalty, satisfaction indirectly drives behavioral loyalty through the mediating effects of attitudinal loyalty. This implies that we should focus on the process of building loyalty and there might be a potential stage before gaining customers’ behavioral loyalty. We also find that there are some important differences between the two store formats, i.e., (1) the effect of store atmosphere (ambience cue, design cue, social cue (Kumar and Kim, 2014)) on satisfaction; (2) the moderating effect of store formats on the relationship between attitudinal loyalty and behavioral loyalty. The findings explore different perception of the two types of stores and influencing factor on building loyalty from an emerging market perspective. By extension, it also shows an application of implementing retail internationalization with adopting multiple store formats on different developing stages, and customer loyalty can be enhanced by offering store novelty in the Chinese market.

EFFECT OF BRAND ENGAGEMENT AND LOYALTY PROGRAMMES ON JAPANESE FASHION COMPANIES’ FINANCIAL PERFORMANCE

Miao Miao,I Go,Linyuan Cui,Kayo Ikeda,Hideho Numata 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07

The economic recession and changes in purchasing habits of young adults (aged 18–25) has led to a decline in the sales of Japanese fashion apparel. This younger generation’s choice of fashion items is primarily based on price. They are not devoted to a favourite brand with a frequent purchase history. Thus, developing customer loyalty and strengthening brand value are essential for the fashion industry. This study explores the improvement in fashion companies’ financial performance (FP) through young generation’s behavioural brand loyalty (BBL) from two aspects: social media brand engagement (BE) and loyalty programmes (LPs). This study listed 14 popular Japanese fashion brands which belonged to 14 publicly traded companies in Japan. Further, we surveyed 183 consumers about their brand related behaviours. The findings reveal the positive and negative effects of the same variable (BE and LPs) on the outcome (short- and long-term FP), indicating that not all activities related to BE and LPs boost FP. FP is influenced by various combinations of these causal factors and complex situations, such as consumers’ demographics and shopping characteristics. The results deepen our understanding of brand loyalty formation and the linkage among BE, LPs, and FP in a realistic marketplace, and offer multiple practical solutions to achieve high levels of short- and long-term FP by targeting the right consumers based on their specific characteristics.

ON CONVERGENCE OF THE MODIFIED GAUSS-SEIDEL ITERATIVE METHOD FOR H-MATRIX LINEAR SYSTEM

Miao, Shu-Xin,Zheng, Bing Korean Mathematical Society 2013 대한수학회논문집 Vol.28 No.3

In 2009, Zheng and Miao [B. Zheng and S.-X. Miao, Two new modified Gauss-Seidel methods for linear system with M-matrices, J. Comput. Appl. Math. 233 (2009), 922-930] considered the modified Gauss-Seidel method for solving M-matrix linear system with the preconditioner $P_{max}$. In this paper, we consider the modified Gauss-Seidel method for solving the linear system with the generalized preconditioner $P_{max}({\alpha})$, and study its convergent properties when the coefficient matrix is an H-matrix. Numerical experiments are performed with different examples, and the numerical results verify our theoretical analysis.