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- catalog abstract ""The first and only professional guide devoted exclusively to the subject, R & D Project Selection describes the most successful project selection methods now in use in government, industry, and academe." "Based on its author's extensive professional experience as well as his exhaustive review of the past 30 years of R & D management literature, it provides an in-depth analysis of nine major selection methods - including cluster analysis, cognitive modeling, simulation, portfolio optimization, decision theory, and others. It explores the strengths and weaknesses of each, shows how they relate to one another, and provides extensive coverage (six chapters) of the data requirements for each." "Just as importantly, this unique guide provides R & D managers with clear guidelines on how to effectively tailor the various selection methods discussed to meet the demands of their organizations' unique situations and goals." "Applicable to all fields of technical, engineering, and scientific research, R & D Project Selection is an indispensable working resource for R & D managers working in industry, academe, and government. It arms them with clear, step-by-step guidelines on how to effectively select projects so as not to fall short on work already in progress or to overcommit and exceed available resources. At the same time, it supplies scientists and engineers with a wealth of information on how best to tailor their project proposals to increase the likelihood of funding."--Jacket.".
- catalog alternative "R&D project selection".
- catalog contributor b10578627.
- catalog created "c1995.".
- catalog date "1995".
- catalog date "c1995.".
- catalog dateCopyrighted "c1995.".
- catalog description ""The first and only professional guide devoted exclusively to the subject, R & D Project Selection describes the most successful project selection methods now in use in government, industry, and academe." "Based on its author's extensive professional experience as well as his exhaustive review of the past 30 years of R & D management literature, it provides an in-depth analysis of nine major selection methods - including cluster analysis, cognitive modeling, simulation, portfolio optimization, decision theory, and others. It explores the strengths and weaknesses of each, shows how they relate to one another, and provides extensive coverage (six chapters) of the data requirements for each." "Just as importantly, this unique guide provides R & D managers with clear guidelines on how to effectively tailor the various selection methods discussed to meet the demands of their organizations' unique situations and goals." "Applicable to all fields of technical, engineering, and scientific research, R & D Project Selection is an indispensable working resource for R & D managers working in industry, academe, and government. It arms them with clear, step-by-step guidelines on how to effectively select projects so as not to fall short on work already in progress or to overcommit and exceed available resources. At the same time, it supplies scientists and engineers with a wealth of information on how best to tailor their project proposals to increase the likelihood of funding."--Jacket.".
- catalog description "Includes bibliographical references (p. 195-218) and index.".
- catalog extent "xiii, 266 p. :".
- catalog hasFormat "Research and Development project selection.".
- catalog identifier "0471595373 (alk. paper)".
- catalog isFormatOf "Research and Development project selection.".
- catalog isPartOf "Wiley series in engineering & technnology management".
- catalog isPartOf "Wiley series in engineering and technology management".
- catalog issued "1995".
- catalog issued "c1995.".
- catalog language "eng".
- catalog publisher "New York : Wiley,".
- catalog relation "Research and Development project selection.".
- catalog subject "658.5/7 20".
- catalog subject "Q180.55.M4 M37 1995".
- catalog subject "Research Decision making.".
- catalog subject "Research Methodology.".
- catalog title "R&D project selection".
- catalog title "Research and development project selection / Joseph P. Martino.".
- catalog type "text".