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The purpose of this paper is to bridge the gap between entrepreneurial implementation intention and subsequent actions, addressing the isotropic issue under uncertain entrepreneurship.

The authors conducted two rounds surveys, a total of 2,350 individuals are surveyed, and 240 of whom expressed entrepreneurial intention but had yet to start a business comprised the sample.

This research finds that entrepreneurial implementation intention has a significant positive relationship with subsequent actions, affordable loss mediates the effect of implementation intention on subsequent actions, environmental uncertainty negatively moderates the relationship between affordable loss and subsequent actions, and the indirect effect of entrepreneurial implementation intention on entrepreneurial action can be enhanced at the low level of environmental uncertainty.

This study contributes new insights to the literature on Rubicon model of action phases in entrepreneurship field by using affordable loss and uncertainty. It also contributes to the literature on affordable loss by examining how environmental uncertainty conditions the effect of affordable loss on entrepreneurial action. Additionally, the negatively moderating role of environmental uncertainty offers a new possibility to explain entrepreneurial uncertainty.

Product liability refers to the liability of producers, distributors and suppliers for consumers’ property losses or personal injury caused by that product. This paper conducted a survey related to product liability issues in Shenzhen City, and did an in‐depth analysis of current problems. Finally, the paper puts forward corresponding suggestions for improvement of Shenzhen City product liability status.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.