The performance of city commercial banks (CCBs) is consistently regarded as a key criterion for assessing their competitiveness within the industry. The continuous pursuit of performance growth remains a fundamental objective for every city commercial bank. This study examines the impact of internal risk governance, along with various internal and external factors, on the performance of CCBs. A total of 35 city commercial banks were selected for analysis from 2011 to 2022, categorizing the samples into state-owned and non-state-owned groups based on ownership structure. A two-way fixed-effects model was employed for this analysis. The findings indicate that: for state-owned banks, the improvement of internal risk governance has a greater positive impact on bank performance than for non-state-owned banks; for state-owned banks, income diversification has a positive effect on bank performance, while for non-state-owned banks, the impact of income diversification on bank performance is negative but not significant; this study also finds that the higher the proportion of non-state-owned holdings, the higher the bank performance.

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Heritage and innovation are the core issues for the sustainable development of China’s time-honored brands. Based on the perspective of value co-creation, this paper takes Changyu Wine Industry as a case study and employs a single-case research method to explore the mechanisms of heritage and innovation in time-honored brands. The activation of a time-honored brand can be divided into three stages: the revival of products, the innovation of business models, and the activation of culture. Each stage exhibits different aspects in terms of heritage, innovation, and value co-creation. Time-honored brands can leverage their rich cultural resources, combined with digital technologies and innovations, to invigorate the vitality of their brand.

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Amid rapid technological progress and the rise of social media, many traditional Chinese brands have been phased out for failing to adapt quickly to changing market demands and consumer spending patterns. Therefore, it is quite significant for them to fully understand the changes in consumer behavior and psychological needs to develop suitable strategies for their revitalization. Traditional Chinese brands have their own unique brand features and culture heritage. Therefore, it is particularly important to retain its own cultural characteristics. Meanwhile, the life cycle of brand is limited. They should seize the opportunity to renew themselves to survive in fierce competition. This article starts from the background and urgency of traditional Chinese brands renewal. It focuses on the three strategies for traditional brands revitalization such as product innovation, marketing innovation, and sales channel innovation according to self-determination theory (SDT) and Maslow’s hierarchy of needs theory. It could provide traditional Chinese brand revitalization with theoretical support and practical guidance.

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The determinants influencing online shopping decisions have long been a focal point of interest for both business practitioners and academic researchers. Among these factors, product imagery stands out as a critical element. However, there remains a notable research gap in understanding the specific features of product images that significantly impact consumers' purchasing decisions in the online context. While the role of product imagery is acknowledged, further investigation is needed to identify which particular aspects of these images are most influential in shaping consumer decision-making processes. The majority of previous research about product images used survey-based methods to measure image quality based on interviewee’s satisfaction and rating instead of data-based analysis. Hence, this research paper aims to investigate the relationship between product photography and customer attractiveness on e-commerce platforms by exploring what photographic characteristics could contribute to better designing product images that captivate consumers and ultimately enhance sales. Additionally, this study aims to explore potential differences in purchasing behavior between male and female consumers, providing a complementary dimension to the research findings. The analysis is conducted using data-driven methodologies, with a specific focus on key features of product images. These include aesthetic appeal, embedded messaging, and social presence, all of which are central to the investigation's scope. The author collects data through a crawler tool and organizes it into a raw dataset (both for males and females). Next, image-processing techniques and feature engineering are applied to conduct the final dataset used for linear regression. Then, backward elimination contributes to determining the best-performed linear regression model, which illustrates the photographic features which are significant to the impingement of sales numbers. As a result, it is confirmed that male clients are more affected by the amount of information contained and the proportion of the products in the product image. In contrast, female clients take notice of the appearance of human models.

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