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The growth–share matrix [2] (also known as the product portfolio matrix, [3] Boston Box, BCG-matrix, Boston matrix, Boston Consulting Group portfolio analysis and portfolio diagram) is a matrix used to help corporations to analyze their business units, that is, their product lines.
After its well-known growth-share matrix, the Boston Consulting Group developed another, much less widely reported, matrix which approached the economies of scale decision rather more directly. This is known as their Advantage Matrix. The matrix was published in a 1981 Perspective titled "Strategy in the 1980s" by Richard Lochridge. [1]
In mathematics, a matrix is a rectangular array of numbers or other data. In physics, a matrix model is a particular kind of physical theory whose mathematical formulation involves the notion of a matrix in an important way. A matrix model describes the behavior of a set of matrices within the framework of quantum mechanics. [43] [44]
For example, if A is a 3-by-0 matrix and B is a 0-by-3 matrix, then AB is the 3-by-3 zero matrix corresponding to the null map from a 3-dimensional space V to itself, while BA is a 0-by-0 matrix. There is no common notation for empty matrices, but most computer algebra systems allow creating and computing with them.
The elements of the spatial weight matrix are determined by setting = for all connected pairs of nodes with all the other elements set to 0. This makes the spatial weight matrix equivalent to the adjacency matrix of the corresponding network. It is common [2] to row-normalize the matrix ,
The Hayes-Wheelwright Matrix, also known as the product-process matrix, is a tool to analyze the fit between a chosen product positioning and manufacturing process. The first dimension of the matrix, the product lifecycle, is a measure of the maturity of the product or market. It ranges from highly customized products with low volumes, to ...
Maybe it’s parallel universes or time travel, maybe it’s just bad memory — either way, it’s fascinating.View Entire Post ›
The entry of a matrix A is written using two indices, say i and j, with or without commas to separate the indices: a ij or a i,j, where the first subscript is the row number and the second is the column number. Juxtaposition is also used as notation for multiplication; this may be a source of confusion. For example, if