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This paper aims to evaluate the progress made in understanding the impact of multi-level institutions on entrepreneurship.

Based on scientific articles published between 1992 and 2017, the authors take a unique focus on both institutional theory applied and research topics of this area. Bibliometric method and systematic literature review method are used.

The results demonstrate that although institutional theory is well prepared for entrepreneurship context operating at different levels, the major knowledge foundation used predominantly focuses on macro and meso level. When it comes to research topics, entrepreneurship is often simplified as the founding of new venture, and the unique venture founding process has rarely been explored.

This paper is the first to provide a full picture of the multi-level institutions and their consequences on different kinds of entrepreneurial activities. The authors’evaluation of this research area also points out directions for future study.

The purpose of this paper is to propose the situation that the existing parking automated guided vehicle (AGV) has a single walking mode, a spin forward motion mode based on a dual steering wheel driven parking AGV. In this way, the AGV can complete the 180° spin of the AGV in the process of straight forward.

A spin forward kinematics model of the dual steering wheel AGV is established, and a motion controller of the dual steering wheel AGV is designed based on the principle of model predictive control to complete the path following the spin forward motion mode.

Computer simulations and laboratory tests were performed on this movement mode, which showed that the operation mode was feasible. It also verified that the mode can improve the handling efficiency, and also solved the problem that the parking space beside the wall could not be set and the site utilization was improved.

The controller should be further improved to make the operation smoother and more accurate.

This mode has the applicability to the indoor logistics AGVs. In addition, it can improve the handling efficiency and also solved the problem that the storage space for goods beside the wall could not be set and the site utilization was improved.

This method can solve the problem due to the increasing number of private cars and parking spaces are hard to find. It increases the number of parking spaces and improves the utilization rate of the site. In addition, it also saves people the time to find a parking space and reduces car exhaust emissions in the process. It follows the requirements of sustainable development.

The studies in this paper provide AGV with more ideas on the issue of improving handling efficiency and site utilization and also solves the problem of being unable to set parking spaces when parking against the wall. In addition, this model has applicability to indoor logistics AGV and plays the same role.