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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

In quest of the appropriate code for the ideal legal form for the proprietary business enterprise

Ribbens, D. S. January 1986 (has links)
No description available.
2

Comparison of entrepreneurial   establishment in China and Sweden

Luo, Weilong, Ruan, Xiaoling January 2010 (has links)
Purpose: This thesis aims to research the business environments, entry modes and legal structure, and steps to establish an enterprise in China and Sweden, through the comparison and analysis to provide a clear portrayal and some recommendations for the SMEs who wants to establish the enterprise in China and Sweden, especially for Swedes who want to establish enterprises in China and Chinese who want to establish enterprises in Sweden.   Method: To clarify the characteristics and comparison of establish the enterprise in China and Sweden, this thesis will use inductive method. Meanwhile, a qualitative method is adopted to conduct the interviews for persuading the research.   Conclusion: Chinese and Swedish business environments are composed of different cultural, political, legal, and economic. The entity forms are also different. When determined to establish an enterprise in China and Sweden, it’s vital to know the business environment, choose the suitable entry mode and follow the local steps to establish the enterprise.
3

Graph Visualization of Legal Business Structures

Josefsson, Lovisa, Apentis Emriksson, Frans January 2019 (has links)
Visualization of complex data is a challenging topic. Data are often stored in spreadsheets making it difficult to get an overview of otherwise inaccessible information. Visualization of data is necessary for getting an understanding of complex structures. Organizations, among them financial institutions, nowadays consist of large owner structures and legal structures. Visualization of these structures is a challenging task due to the many levels of complexity within these structures.This report presents a visualization prototype of the legal business structures of financial institutions. The primary function of this prototype is to facilitate the understanding of complex legal business structures that would be hard to comprehend only from spreadsheets. The development of the prototype was performed using Python and NetworkX and the visualization was constructed as a graph representation. The evaluation of the prototype was conduced with semi-structured interviews together with a demonstration. The evaluation indicated that the utility of the visualization prototype concept can be further improved. The results suggests that a prototype is vital and is of good use for facilitating understanding of data. / Visualisering av data är ett svårt problem. Diverse data lagras ofta i textform vilket bidrar till en sämre översikt av datan. Med hjälp av visualisering kan man få en bättre förståelse för komplexa strukturer i datan. Organisationer så som finansinstitut involverar ofta stora ägarstrukturer och legala strukturer. Att kunna visualisera dessa strukturer blir då ett problem på grund av deras komplexitet.I denna rapport presenteras en visualiseringsprototyp av legala affärsstrukturer hos finansinstitut. Huvudsyftet med denna prototyp är att få en bättre förståelse av strukturer som annars är svåra att analysera utifrån enbart kalkylblad. Prototypen implementerades med hjälp av Python och NetworkX och visades visuellt som en graf representation. Evalueringen utfördes med hjälp av intervjuer samt en demonstration av prototypen. Evalueringen visar på att användarna ser en nytta med prototypen vilket tyder på att det finns utrymme för att vidare utveckla konceptet. Resultatet antyder att en visualisering är väsentlig när det kommer till att underlätta analys av data.

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