Under the background of the development of digital intelligence economy and the country's promotion of digital intelligence upgrading of traditional industries, the logistics industry is facing the efficiency bottleneck of the traditional model, and it is urgent to respond to changes in market demand and industry competition through digital intelligence transformation. This article takes Shun Feng Express (SF) as a case, and uses the case study method to explore its digital intelligence transformation path and its impact on enterprise performance. The study found that SF Express has solved the pain points of the industry such as decision-making lag through the transformation of integration, digital intelligence, informatization and intelligent globalization, and achieved a double improvement in financial and customer-level performance: revenue and net profit grew steadily, new business expansion achieved remarkable results, customer satisfaction continued to lead, and the cooperation penetration rate of head enterprises was high. The core of its transformation lies in the upgrading of technical roles, in-depth coordination of software and hardware, and the development model of technology reinvigorating enterprises. This research enriches the theoretical cases of the digital and intelligent transformation of the logistics industry, provides practical reference for the transformation of logistics enterprises, and also provides reference ideas for the digital and intelligent upgrading of traditional industries.

Show more

Under the background of the national strategy of the integration of artificial intelligence and real economy, financial digital-intelligent transformation has become imminent for traditional manufacturing enterprises. By conducting a case study of Sichuan Changhong, this paper investigates how the "Artificial Intelligence+" (AI+) strategy shapes the mechanisms and pathways underlying financial digital intelligence transformation in manufacturing companies. Empirical evidence from the case reveals that enterprise-wide digital and intelligent transformation is fundamentally propelled by financial digital intelligence. The evolution of "AI + finance" unfolds progressively, shifting from operational process automation to intelligent decision-making, which can only be achieved through integrated alignment among technology, organizational structure, and corporate strategy. Changhong has embedded AI into the core scenario of expense reimbursement, and achieved cost reduction and efficiency increase through intelligent order creation, approval and data analysis. The financial function has shifted from accounting to strategic, and the period expense ratio has decreased, and ROE and other profit indicators have steadily improved. This study explores the feasible path of "AI + finance" for traditional large enterprises, provides practical reference for the transformation of similar enterprises, and enriches the case studies in related fields.

Show more

The 2025 US TikTok ban has led to a substantial influx of overseas users onto Red Notes. This study therefore concentrates on the users' key challenge: strong cultural identity alongside weak consumption conversion performance. With four analytical dimensions—cross-cultural interaction, cultural perceived trust, cross-border consumption intention and commercial defects, it explores the intrinsic logic between cultural identity and consumption conversion of Red Notes' overseas users. Using semi-structured interviews, this research conducts in-depth surveys on 11 overseas users from different countries with diverse usage traits. The results show that higher cross-cultural interaction corresponds to stronger preference for Chinese culture and products, yet consumption conversion is widely blocked. Deficient platform trust leads to the diversion of consumption intention to other platforms, while commercial defects including lagging logistics, inconvenient payment and mismatched products form dual barriers to the transformation from cultural trust to consumption behavior. Meanwhile, the key difference between retained and churned users is the perception of irreplaceable platform value. The study also identifies obvious user segmentation, and incomplete commercial supporting systems are the core constraint of consumption conversion. This study provides practical references for Red Notes' cross-border e-commerce optimization and overseas operation, as well as empirical support for localized research on cross-cultural communication and cross-border consumption.

Show more

To identify pathways for improving agricultural ecological efficiency, this study starts from a financial perspective and studies the comprehensive effects of the collaborative interaction between digital finance and green finance, using China as a case study. Based on the Double Machine Learning (DML) approach and panel data from 31 Chinese provinces during 2012-2023, this paper investigates how digital and green finance work in synergy, affecting agricultural eco-efficiency. Further spatial econometric analysis is conducted to investigate the spatial variation in agricultural eco-efficiency and synergistic effects. Empirical results show that green finance prominently improves agricultural eco-efficiency. This effect is amplified when digital finance acts synergistically with green finance. Agricultural ecological efficiency has a negative spatial spillover effect, with the financial synergistic effect being more pronounced in this stage. Both the spatial spillovers and the synergistic impact of green and digital finance exhibit remarkable regional heterogeneity. To achieve sustainable agricultural development, it is necessary to develop region-specific strategies to fully leverage the synergistic effects of digital and green finance.

Show more