Test Bank for M: Information Systems 4th Edition B
l l l l l l l l
altzan
1-1
,Management Information Systems: Business Driven MIS
l l l l l
Truel/lFalselQuestions
1. Companiesltodaylarelsuccessfullwhenltheylcombinelthelpowerloflthelinformationlagelwith
traditionallbusinesslmethods.
True False
2. Competitivelintelligencelislinformationlcollectedlfromlmultiplelsourceslsuchlaslsuppliers,
customers,lcompetitors,lpartners,landlindustrieslthatlanalyzeslpatterns,ltrends,landlrelationshipslforls
trategicldecisionlmaking.
True False
3. Businesslintelligencelislinformationlcollectedlfromlmultiplelsourceslsuchlaslsuppliers,lcustomers,
competitors,lpartners,landlindustrieslthatlanalyzeslpatterns,ltrends,landlrelationshipslforlstrategicldeci
sionlmaking.
True False
4. Thelinformationlagelislthelpresentltime,lduringlwhichlinfinitelquantitiesloflfactslarelwidely
availableltolanyonelwholcanluselalcomputer.
True False
5. Technologylprovideslcountlesslbusinesslopportunities,lbutlcanlalsolleadltolpitfallslandltrapslforla
business.
True False
1-2
,6. Toplmanagersluselsociallintelligenceltoldefinelthelfutureloflthelbusiness,lanalyzinglmarkets,
industrieslandleconomiesltoldeterminelthelstrategicldirectionlthelcompanylmustlfollowltolremainlunpr
ofitable.
True False
7. Alvariablelislalbusinesslintelligencelcharacteristiclthatlstandslforlalvaluelthatlcannotlchangelover
time.
True False
8. Alfactlislthelconfirmationlorlvalidationloflanleventlorlobject.lInlthelpast,lpeoplelprimarilyllearned
factslfromlbooks.
True False
9. Zapposlislnotlaltechnologylcompany;litslprimarylbusinesslfocuslisltolselllbooks.
True False
10. Orderldate,lamountlsold,landlcustomerlnumberlarelalllformslofldata.
True False
11. Choosinglnotltolfirelalsaleslrepresentativelwholislunderperforminglknowinglthatlpersonlis
experiencinglfamilylproblemslislalformloflknowledge.
True False
12. Informationlisldatalconvertedlintolalmeaningfullandlusefullcontext.lTheltruthlaboutlinformationlis
thatlitslvaluelislonlylaslgoodlaslthelpeoplelwholuselit.lPeoplelusinglthelsamelinformationlcanlmakeldiffer
entldecisionsldependinglonlhowltheylinterpretlorlanalyzelthelinformation.
True False
1-3
, 13. ThelInternetloflThingsl(IoT)lislalworldlwherelinterconnected,lInternet-enabledldeviceslorl"things"
canlcollectlandlshareldatalwithoutlhumanlintervention.
True False
14. Machineltolmachinel(M2M)lrefersltoldeviceslthatlconnectldirectlyltolotherldevices.
True False
15. ThelInternetloflThingsl(IoT)lrefersltoldeviceslthatlconnectldirectlyltolotherldevices.
True False
16. Predictivelanalyticslextractslinformationlfromldatalandluseslitltolpredictlfutureltrendslandlidentify
behaviorallpatterns.
True False
17. Predictivelanalyticslislalworldlwherelinterconnected,lInternet-enabledldeviceslorl"things"lcan
collectlandlshareldatalwithoutlhumanlintervention.
True False
18. Toplmanagersluselpredictivelanalyticsltoldefinelthelfutureloflthelbusiness,lanalyzinglmarkets,
industries,landleconomiesltoldeterminelthelstrategicldirectionlthelcompanylmustlfollowltolremainlprofit
able.lTonylwilllsetlthelstrategicldirectionlforlhislfirm,lwhichlmightlincludelintroducinglnewlflavorsloflpota
tolchipslorlsportsldrinkslaslnewlproductllineslorlschoolslandlhospitalslaslnewlmarketlsegments.
True False
19. Machineltolmachinel(M2M)lextractslinformationlfromldatalandluseslitltolpredictlfutureltrendsland
identifylbehaviorallpatterns.
True False
1-4
l l l l l l l l
altzan
1-1
,Management Information Systems: Business Driven MIS
l l l l l
Truel/lFalselQuestions
1. Companiesltodaylarelsuccessfullwhenltheylcombinelthelpowerloflthelinformationlagelwith
traditionallbusinesslmethods.
True False
2. Competitivelintelligencelislinformationlcollectedlfromlmultiplelsourceslsuchlaslsuppliers,
customers,lcompetitors,lpartners,landlindustrieslthatlanalyzeslpatterns,ltrends,landlrelationshipslforls
trategicldecisionlmaking.
True False
3. Businesslintelligencelislinformationlcollectedlfromlmultiplelsourceslsuchlaslsuppliers,lcustomers,
competitors,lpartners,landlindustrieslthatlanalyzeslpatterns,ltrends,landlrelationshipslforlstrategicldeci
sionlmaking.
True False
4. Thelinformationlagelislthelpresentltime,lduringlwhichlinfinitelquantitiesloflfactslarelwidely
availableltolanyonelwholcanluselalcomputer.
True False
5. Technologylprovideslcountlesslbusinesslopportunities,lbutlcanlalsolleadltolpitfallslandltrapslforla
business.
True False
1-2
,6. Toplmanagersluselsociallintelligenceltoldefinelthelfutureloflthelbusiness,lanalyzinglmarkets,
industrieslandleconomiesltoldeterminelthelstrategicldirectionlthelcompanylmustlfollowltolremainlunpr
ofitable.
True False
7. Alvariablelislalbusinesslintelligencelcharacteristiclthatlstandslforlalvaluelthatlcannotlchangelover
time.
True False
8. Alfactlislthelconfirmationlorlvalidationloflanleventlorlobject.lInlthelpast,lpeoplelprimarilyllearned
factslfromlbooks.
True False
9. Zapposlislnotlaltechnologylcompany;litslprimarylbusinesslfocuslisltolselllbooks.
True False
10. Orderldate,lamountlsold,landlcustomerlnumberlarelalllformslofldata.
True False
11. Choosinglnotltolfirelalsaleslrepresentativelwholislunderperforminglknowinglthatlpersonlis
experiencinglfamilylproblemslislalformloflknowledge.
True False
12. Informationlisldatalconvertedlintolalmeaningfullandlusefullcontext.lTheltruthlaboutlinformationlis
thatlitslvaluelislonlylaslgoodlaslthelpeoplelwholuselit.lPeoplelusinglthelsamelinformationlcanlmakeldiffer
entldecisionsldependinglonlhowltheylinterpretlorlanalyzelthelinformation.
True False
1-3
, 13. ThelInternetloflThingsl(IoT)lislalworldlwherelinterconnected,lInternet-enabledldeviceslorl"things"
canlcollectlandlshareldatalwithoutlhumanlintervention.
True False
14. Machineltolmachinel(M2M)lrefersltoldeviceslthatlconnectldirectlyltolotherldevices.
True False
15. ThelInternetloflThingsl(IoT)lrefersltoldeviceslthatlconnectldirectlyltolotherldevices.
True False
16. Predictivelanalyticslextractslinformationlfromldatalandluseslitltolpredictlfutureltrendslandlidentify
behaviorallpatterns.
True False
17. Predictivelanalyticslislalworldlwherelinterconnected,lInternet-enabledldeviceslorl"things"lcan
collectlandlshareldatalwithoutlhumanlintervention.
True False
18. Toplmanagersluselpredictivelanalyticsltoldefinelthelfutureloflthelbusiness,lanalyzinglmarkets,
industries,landleconomiesltoldeterminelthelstrategicldirectionlthelcompanylmustlfollowltolremainlprofit
able.lTonylwilllsetlthelstrategicldirectionlforlhislfirm,lwhichlmightlincludelintroducinglnewlflavorsloflpota
tolchipslorlsportsldrinkslaslnewlproductllineslorlschoolslandlhospitalslaslnewlmarketlsegments.
True False
19. Machineltolmachinel(M2M)lextractslinformationlfromldatalandluseslitltolpredictlfutureltrendsland
identifylbehaviorallpatterns.
True False
1-4
