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Managerial Decision Making

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Description of a Text Bank Document for Managerial Decision Making Purpose: The text bank is designed to provide managers with a repository of knowledge, tools, and frameworks to facilitate effective decision-making processes in a business context. Contents: Theoretical Frameworks: Overview of decision-making theories (e.g., rational choice theory, bounded rationality). Models such as SWOT analysis, PESTLE analysis, and decision trees. Case Studies: Real-world examples of managerial decisions in various industries. Analysis of outcomes and lessons learned from successful and unsuccessful decisions. Practical Tools: Templates for decision matrices, cost-benefit analyses, and risk assessments. Checklists to evaluate options and potential impacts. Quantitative Data: Statistical tools and techniques for data analysis relevant to decision-making. Metrics and KPIs that inform strategic decisions. Guidelines for Best Practices: Recommendations for collaborative decision-making and stakeholder engagement. Ethical considerations and frameworks for responsible decision-making. Emerging Trends: Insights on current trends affecting managerial decision-making, such as digital transformation and sustainability. Reflection and Self-Assessment Tools: Questions and prompts for managers to reflect on their decision-making style and effectiveness. Tools for soliciting feedback from peers and teams.

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CMA - Certified Management Accountant
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CMA - Certified Management Accountant
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Geüpload op
18 oktober 2024
Aantal pagina's
82
Geschreven in
2024/2025
Type
Tentamen (uitwerkingen)
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Vragen en antwoorden

Onderwerpen

Voorbeeld van de inhoud

, Chapterh1hIntroductionhtohManagerialhDecisionhMaking


Multiplehchoice


1) Anhoptimalhsearchhforhalternativeshshouldhlast:
a. Ashlonghashneededhtohfindhthehbesthsolution.
b. Ashlonghashneededhtohfindhthehfirsthgoodhenoughhsolution.
c. Ashlonghashthehcosthofhthehsearchhdoeshnothoutweighhthehvaluehofhthehaddedhinformation.
d. Ashlonghashthehcosthofhthehsearchhishwithinhthehappropriatehlimitshsethbyhthehdecisionh

maker.hAns:hc

Response:hp.h2-3



2) Ratinghalternativeshonheachhofhthehdecisionhcriteriahishconsideredhthehmosthdifficulthstageh
ofhthehdecision-makinghprocess,hbecause:
a. Ithassumeshwehhavehpreciselyhdefinedhourhpriorities.
b. Ithrequireshushtohforecasthhowheachhalternativehsolutionhwillhachieveheachhofhourhde
cisionhcriteria.
c. Ithrequireshushtohcomparehallhofhthehalternativeshsimultaneously.
d. Ithishlikelyhtohfailhifhourhproblemhishnothdefinedhcorrectly,handhthishfailurehwillhnothbehde

tected.hAns:hb

Response:hp.h3



3) Inhthehinterplayhbetweenhsystemh1handhsystemh2hthinking,hthehkeyhgoalhforhmanagershis:
a. Tohimprovehtheirhusehofhsystemh1hthinking.
b. Tohattempthtohusehsystemh2hthinkinghashmuchhashpossible.
c. Tohapplyhbothhsystemshinhmakinghdecisionshinhorderhtohperformhahmorehthoroug
hhandhcomplexhsearchhforhalternatives.
d. Tohidentifyhwhenhtheyhshouldhmovehfromhsystemh1htohsystemh2hthinking.h

Ans:hdhResponse:hp.h4

, 4) Whichhofhthehfollowinghishahtypicalhcharacteristichofhheuristics?
a. Theyhprovidehushwithhahsimplehwayhofhdealinghwithhcomplexhproblems.
b. Theyhhavehthehbesthlikelihoodhofhreachinghanhoptimalhsolutionhtohahproblem.
c. Theyharehtimehandhresourcehconsuming.
d. Theyharehusedhmainlyhbyhirrationalhdecisionhmakers.

Ans:hahRespo

nse:hp.h6



Questionsh5-
8hdescribehexampleshofhheuristicshoutlinedhinhthehchapter.hForheachhquestion,hindicatehwhichhheurist
ichithdescribes:

a. Thehrepresentativenesshheuristic.
b. Thehavailabilityhheuristic.
c. Thehconfirmationhheuristic.
d. Thehaffecthheuristic.



5) InnerhcityhcrimehinhthehU.S.hgetshconsiderablehmediahcoverage,hsuchhthatheveryhhomicidehish
reportedhinhthehnews.hInhcontrast,hahstoryhofhahpersonhwhohdiedhfromhahhearthattackhrarely
hmakeshthehnews.hThishleadshpeoplehtohoverestimatehthehfrequencyhofhdeathshduehtohhomici
deshrelativehtohthosehduehtohhearthfailure.

Ans:h bhRespons

e:hp.h7-8



6) Johnhishoverhsevenhfeethtall.hWhenhaskedhwhetherhJohnhishahprofessionalhbasketballhplay
erhorhahsoftwarehprogrammer,hmanyhpeoplehpredicththehformer,hevenhthoughhtherehareh
manyhmorehsoftwarehprogrammers,hevenhveryhtallhones,hthanhprofessionalhbasketballhpla
yers. Ans:ha

Response:hp.h8-9

, 7) Afterhreadinghabouththehpositiveheffecthchocolatehhashonhstudenthperformance,hahteacherhgi
vesheachhstudenthinhahclasshahchocolatehbarhbeforehtakinghanhexam.h15houthofh22hstudentshi
nhthathclasshgethanhAhonhthehexam.hThehteacherhthereforehconcludeshthathchocolatehenhance
shperformance.hAns:hc

Response:hp.h9-10



8) Ahcommonhwisdomhinhpoliticshishthaththehmorehanhargumenthishrepeated,hthehmorehith
willhbehconsideredhbyhthehpublichashreliablehandhtrue.

Ans:h bhRespons

e:hp.h7-8



9) Thehaffecthheuristichcanhexplainhwhy
a. PeoplehwhohlivehinhCaliforniaharehassumedhtohbehhappierhthanhpeoplehwhohliveh
inhthehMidwest.
b. Studentshpredicththeyhwillhbehsadderhafterhgettinghahbadhgradehonhahtesththa
nhtheyhactuallyharehinhthesehsituations.
c. Peoplehdohnothrememberhsadheventshfromhtheirhearlyhchildhood.
d. Stockhpriceshgohuphonhsunnyhdays.

Ans:hdhRespon

se:hp.h10




True/False


10) Succumbinghtohheuristicshishinevitable,handhtherehishnohwayhtohmakehjudgmenthlesshproneh
them.hRather,honehcanhonlyhbehawarehofhthehbiasingheffecthheuristicshhavehonhone’shjudgm
ent.

Ans:hFalsehRes

ponse:hp.h11
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