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The A-share listed companies in Shanghai and Shenzhen from 2012 to 2020 were taken as the research sample to study the impact of digital transformation on enterprise cost stickiness. Overall, digital transformation has a restraining effect on enterprise cost stickiness. This kind of inhibitory effect is more significant in the samples with strong asset specificity, high-environmental uncertainty, and high-management cost rate, indicating that enterprises have reduced adjustment costs through digital transformation, weakened the optimistic expectations of management, and reduced agency costs, thus curbing cost stickiness. Our research results provided a new understanding of how the implementation of digital transformation affects the cost stickiness of enterprises and can help to provide policy suggestions for promoting the supply side structural reform from the perspective of "cost reduction." [ABSTRACT FROM AUTHOR]

In a shopping mall, it's a common phenomenon that brands enter and exit. Studying the brand's entry and connection in the mall's ecological chain is an important factor in judging whether the brand can develop sustainably in the mall. Based on the analysis of 724,685 consumers' consumption data from one International Shopping Center in Shanghai, China, this paper conducts the social network analysis, builds a brand network map, and examines brand connection through visual analysis and cohesion subgroup analysis. Empirical results indicate that brand awareness, product category, brand positioning, and consumer characteristics are the major factors that influence brand connection. The sensitivity analysis is further conducted based on the singular value decomposition (SVD). Furthermore, these four factors have a positive impact on the sustainable development of the brand after entering and a mathematical model is established to determine whether a brand should be settled in a certain shopping mall. This research is the first to study the factors affecting the sustainable development of brands in the shopping mall ecological chain. Using big data technology to provide brand selection guidance for shopping malls from a micro perspective. [ABSTRACT FROM AUTHOR]