Wednesday, February 26, 2020

Strategic Management Analysis Case Study, EFAS & IFAS Essay

Strategic Management Analysis Case Study, EFAS & IFAS - Essay Example External factors affected the Vermont Teddy Bear will be accessed using PEST analysis. Political-legal forces acting upon the Vermont Teddy Bear allocate power and provide constraining and protect ­ing laws and regulations. The company does not influenced greatly by political changes. Legal changes had a greater impact on the company caused by changing international situation and increased competition, high taxes and corporate expenses the main changes took place at the end of the 1990s when European market altered parameters of international competition and enforced a period of reassessment. In spite of the fact that the Vermont Teddy Bear is a national company, these changes affected its sales and profitability. Environmental changes suggest that the opening up of the market and the resultant increased competition has widened the perspective of the planning framework with profound implications. The threat was that the removal of physical barriers and the new-found freedom of move ment around the European market have increased international expansion and in so doing raise the degree of European trade. According to the case study, in 2000 the Vermont Teddy Bear had a decline in its operations. Failure in investment activities at the end of 1990s led to declining of financial situa ­tion and crisis (Stacey 1996). The social environment includes general forces that do not directly touch on the short-run activities of the organization but that can, and often do, influence its long-run decisions. For instance, â€Å"in 1998, the company changed this philosophy by exploring the offshore sourcing of materials, outfits, and manufacturing in an effort to lower costs† (Vincelette et al). Economic forces regulate the exchange of materials, money, energy, and information (Chaffy et al 2000). This environment proposes great challenges for the Vermont Teddy Bear influenced by customers’ loyalty and trust. Speaking about the nature competition it

Monday, February 10, 2020

Geographical information system and agriculture Research Paper

Geographical information system and agriculture - Research Paper Example In the long run, commonly referenced data can be superimposed to determine relationships between data components. Geographic information system (GIS) software applies relational database management technologies to consign a series of attributes to every spatial characteristic (Longley et al 86). Ordinary aspect identification keys are used to associate the spatial and attribute data among tables. For example, a soil polygon can be associated to a chain of database tables that explains chemical composition, its mineral, crop yield, slope, land use suitability, and other features. Another aspect of Geographic information system (GIS) is that it provides the capability to coalesce series of data into a multiple data layer that may later be a base layer in the database. For instance, demography, slope, wetlands, hydrography, soils and land use can be merged to develop a solitary layer of proper hazardous waste storage sites (Longley et al 140). These data, in turn, may be integrated into the listing database of local government and applied for regulatory and planning evaluations.GIS software normally allows for two kinds of data. Some use raster data i.e. satellite imagery while others use vectors to represent features on the surface of the earth. Most systems allow for complete integration of both types of data (Pierce and David, 11). A GIS can be used to explain basic locational questions such as what is positioned at a given level on the earth surface; or where is the exact element located? At the same time, soils data across the entire watershed can be asked to determine the distribution of regions with hydric soils of huge than 100 acres and are linked to key river system (Pierce and David, 15). Geographic information system (GIS) is becoming the dais of choice for mixing and analyzing enormous range of data in the field of agriculture due to the ability to analyze those data flow and display