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001 EBC1097919
003 MiAaPQ
005 20190211053615.0
006 m o d |
007 cr cn |||m|||a
008 130401s2013 nyu foab 001 0 eng d
020 _a9781606494899 (electronic bk.)
020 _z9781606494882 (pbk.)
035 _a(OCoLC)834603633
035 _a(CaBNVSL)swl00402242
035 _a(MiAaPQ)EBC1097919
035 _a(Au-PeEL)EBL1097919
035 _a(CaPaEBR)ebr10678409
035 _a(CaONFJC)MIL466848
035 _a(OCoLC)834603633
040 _aMiAaPQ
_cMiAaPQ
_dMiAaPQ
050 4 _aHD30.23
_b.C423 2013
082 0 4 _a658.403
_223
100 1 _aCharlesworth, David.
245 1 0 _aDecision analysis for managers
_h[electronic resource] :
_ba guide for making better personal and business decisions /
_cDavid Charlesworth.
250 _a1st ed.
260 _a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) :
_bBusiness Expert Press,
_c2013.
300 _a1 electronic text (x, 134 p.) :
_bdigital file.
490 1 _aQuantitative approaches to decision making collection,
_x2163-9582
500 _aPart of: 2013 digital library.
504 _aIncludes bibliographical references (p. [129]) and index.
505 0 _aAcknowledgments -- Preface -- What is decision analysis? And why should I care? -- How to start framing a DA problem: how can we work together? -- The objectives hierarchy: what do we want? -- Decisions and alternatives: what can we do? -- Influence diagrams: what do we know? -- Uncertainty assessment: the boundary between known and unknown -- Building a deterministic model: time to run the numbers -- Tornado diagrams: figuring out what is important -- Cumulative probability: looking at the range of outcomes -- Value of information: how much is it worth to know? -- Multiattribute decision analysis: there's more to life than money -- Other topics: more things to think about -- Notes -- References -- Index.
506 _aAccess restricted to authorized users and institutions.
520 3 _aEverybody has to make decisions--they are unavoidable. Yet we receive little or no education or training on how to make decisions. Business decisions can be difficult: which people to hire, which product lines or facilities to expand and which to sell or shut down, which bid or proposal to accept, which process to implement, how much R&D to invest in, which environmental projects should receive the highest priority, and so on. Even if you make the correct decision, you still have to get buy-in and commitment from your team, other management, and key stakeholders to successfully implement the decision. Personal decisions can be even more difficult: which college to attend, who to date, who to marry, which automobile to buy, which house to buy, whether to change jobs or not, where to go on vacation, when and where to retire, how to handle and treat a serious illness or health problem, and so on. Decision analysis (DA) is a time-tested set of tools (mental frameworks) which will help you and the teams you work with clarify and reach alignment on goals and objectives and understand trade-offs in reaching those goals, develop and examine alternatives, systematically analyze the effects of risk and uncertainty, and maximize the chances of achieving your goals and objectives.
530 _aAlso available in print.
533 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat reader.
588 _aTitle from PDF t.p. (viewed on April 1, 2013).
650 0 _aDecision making.
653 _adecision analysis
653 _adecision and risk analysis (D&RA)
653 _amaking decisions
653 _apersonal decision making
653 _abusiness decision making
653 _atrade-offs
653 _adecision framing
653 _astrategic decision making
653 _auncertainty
653 _arisk
653 _adecision making under uncertainty
653 _aportfolio analysis
655 4 _aElectronic books.
776 0 8 _iPrint version:
_z9781606494882
830 0 _a2013 digital library.
830 0 _aQuantitative approaches to decision making collection.
_x2163-9582
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bcsl-ebooks/detail.action?docID=1097919
_zClick to View
999 _c752024
_d752024