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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]
The DICE framework, or Duration, Integrity, Commitment, and Effort framework is a tool for evaluating projects, [1] predicting project outcomes, and allocating resources strategically to maximize delivery of a program or portfolio of initiatives, aiming for consistency in evaluating projects with subjective inputs.
Postmodern marketing saw great acceptance in the early 1990s with the emerging developments of the Splinternet and marketers realization that "traditional" strategic practices like Porters five forces, the Wheel of Retailing, and the Boston Matrix had become outdated and not able to keep up with or report on consumer media habits, creative tone ...
After a job with Boston Consulting Group, [4] he worked at Abuzz Technologies, a social Q&A site that was founded by his brother Andres and acquired by The New York Times in 1999. [7] [8] In 2000, he founded a company, Memora, with his brother. The company built and sold a home server called Servio. [8]
Matrix-free conjugate gradient method has been applied in the non-linear elasto-plastic finite element solver. [7] Solving these equations requires the calculation of the Jacobian which is costly in terms of CPU time and storage. To avoid this expense, matrix-free methods are employed.
the first has somehow, in some way, been my best year yet. So, as I often say to participants in the workshop, “If a school teacher from Nebraska can do it, so can you!”
The requirement that is a positive-definite inner product then says exactly that this matrix-valued function is a symmetric positive-definite matrix at . In terms of the tensor algebra , the Riemannian metric can be written in terms of the dual basis { d x 1 , … , d x n } {\displaystyle \{dx^{1},\ldots ,dx^{n}\}} of the cotangent bundle as