In the study of leadership within the private sector in China, few scholars have tried to link ancient Chinese teachings to the present leadership style beyond the level of highlighting Confucianism and/or militarist philosophy. This study argues that Mohist teachings are the foundation of Ma Yun’s leadership in Alibaba.com. Using three propositions of (a) Ma Yun’s motivation to become a start-up CEO, (b) structuring his business using his inter-national skills and linguistic competences and (c) shaping his leader-ship style based on the Mohist teachings, one of the minority schools of ancient Chinese philosophy, this paper finds that innovative firms in China such as Alibaba.com deliberately shies themselves from conventional symbols of Confucianism or militarist teachings to accommodate Western managerial in the name of unpopular ancient Chinese teachings. The result of Ma Yun’s leadership is successful corporate social responsibility (CSR) performance amid rapid innovation within his company. Our results show that Ma Yun’s Mohist quality and balance of justice and interests are the most effective measurement indicators of Ma Yun’s internal operations; values of eloquent rhetoric, a chivalrous spirit, and mutual love have promoted Alibaba’s external reputation and expansion and constitute important indicators.
This research aimed to analyze and understand the perceived landscape preferences of lake parks (LPs) and how the public perceives and prefers these elements within the context of lake parks. The objective was to provide insights beneficial for landscape design, urban planning, and the creation of more appealing and sustainable lake parks. To achieve this, two primary methods were employed in this study: the Automated Machine Learning (Auto ML) model and the DeepLab v3+ model. To gather data for the research, 46,444 images were collected from 20 different lake parks from 2019 to 2022. Social media platforms such as Instagram, Flickr, and specific lake park community groups were tapped to source photographs from both professional photographers and the general public. According to the experimental findings, the perceived frequency of natural landscapes was 69.27%, which was higher than that of humanistic landscapes by 30.73%. The perceived intensity was also maintained between 0.09 and 0.25. The perceived frequency of water body landscapes was much greater on a macro-scale, at 73.02%, and the public had various plant preferences throughout the year. Aquatic plant landscapes with low-to-medium green visibility were preferred by the public, according to the landscape share characterization, while amusement rides with medium-to-high openness were preferred. The sky visibility of amusement rides was between 0 and 0.1 and between 0.3 and 0.5, indicating that the public preferred amusement rides with medium-to-high openness. In lake parks, the populace chose settings with less obvious architectural features. When combined, the two models used in this study are useful for identifying and analyzing the intended traits and preferences of lake parks among the general public. They also have theoretical and practical application value for directing the development of lake parks and urban landscapes.