MEASUREMENT OF CONDITIONS FOR KNOWLEDGE SHARING

Size: px
Start display at page:

Download "MEASUREMENT OF CONDITIONS FOR KNOWLEDGE SHARING"

Transcription

1 MEASUREMENT OF CONDITIONS FOR KNOWLEDGE SHARING Paul va de Brk Delft Uversty of Techology ad O The Brk, The Netherlads e-mal: thk@othebrk.l; webste: Publshed : Proceedgs 2d Europea Coferece o Kowledge Maagemet, Bled, ovember 2001 Ths paper descrbes a model to quatfy codtos that eable sharg a orgazato. Based o ths level of facltated sharg we are able to detfy the ext steps to be take,.e. whch codtos are most approprate to stmulate. I addto, ths measuremet provdes a dcator of the effectveess of (oe or more) actos take, ad may help steerg sharg efforts. 1 Objectve of ths artcle Ths artcle helps orgazatos to determe ther ext steps facltatg ad stmulatg sharg. The artcle s structured three ma parts. We frst troduce the codtos that we cosder eablers of sharg a orgazato. We also defe s that dfferetate betwee possble stages the developmet of sharg a orgazato ad we propose a relato of the eablg codtos to these s. The secod part of the paper descrbes a model to measure the eablg codtos based o a pragmatc quatfcato ad rakg of these codtos to determe the applcable sharg. Ths detfes whch codtos are the most approprate to stmulate. I the thrd part of ths artcle we descrbe our method as a cotuous cycle of measuremet ad acto. 2 Codtos that eable sharg We propose three ettes as key factors sharg: people, orgazato, ad techology. That s because we cosder sharg as a socal teracto betwee people. Also, orgazatoal ssues have a major mpact o sharg. Furthermore, (formato ad commucato) techology s a mportat facltator of sharg. The socal, orgazatoal, ad techologcal codtos that we recogze as eablers of sharg (see Fgure 1) are detaled below (Brk 2001). 2.1 Socal codtos Davs (1998) states that Effectve maagemet requres a fudametal chage the way most compaes do busess, ad people are at the heart of ay effectve chage. The huma factor sharg focuses o the drvers that trgger people to do what they do, o the possble skll levels of a perso, ad o the roles a dvdual ca play a orgazato. care: I a orgazatoal cotext care has the meag of warm, geue terest of oe employee aother employee, gvg atteto ad helpg hm or her wheever eeded, ad stmulates hs or her persoal growth ad developmet (Krogh 1998). Ths may costtute a foudato for people to be ope to thoughts of other people, to egage a dalogue wth each other, ad to recosder oe s ow basc belefs 1

2 apprasal: Sege (1992) observes that people should redesg ther metal models costructed tradtoally compettve evromets order to support sharg ad trasfer of ad expertse. People eed to be stmulated ad motvated to do so, they eed cetves to partcpate the sharg process (Hase 1999, Trussler 1998, Ellott 1997). empowermet: Empowermet s volvg people the chages that wll affect them (Sche 1995, Ulrch 1998). Noaka (1995) beleves that ths may mprove a dvdual s motvato to create because the autoomous dvdual strves for persoal developmet ad has the possblty to create hs or her ow cocepts. Fgure 1: Socal, orgazatoal, ad techologcal codtos for sharg trust: Trust s used to lower ucertaty regardg the behavor of other people or objects (Ladry 1992, Joes 1998). It s a to some extet emotoal cofdece the relablty of a perso or object wth respect to past, curret, ad atcpated future behavor. Trust lays the prmary bass for a socal relato ad s therefore a prerequste for people to share ther deas, formato, ad. competece leverage: Competece ca be defed as the ablty of a perso to accomplsh tasks (Weggema 1997). It s depedet o the professoal, experece, atural talet, craftsmashp, ad sklls of the dvdual. Competece leverage stmulates sharg because creato of ew sklls ad trasfer of s tetoally ecouraged. 2

3 crew: Noaka (1995) regards the crew as the project leaders of the orgazatoal -creato process. The crew structures ad matas a platform for creatg ad dstrbutg to people ad cotrols the qualty ad tegrty of the compoets. They orgaze the repostores, they hut for ew approprate, they valuate ad classfy the compoets, they support competece ceters, ad they ecourage people to make (better) use of ths platform (Stewart 1997a). 2.2 Orgazatoal codtos We explot the 7S framework by McKsey (that cossts of seve orgazatoal factors: strategy, structure, systems, staff, sklls, style, ad shared values) to dstgush whch orgazato related codtos facltate sharg. learg orgazato: We ote that orgazatos lear order to mprove ther adaptablty ad effcecy durg tmes of chage (Balasubramaa 1996). A learg orgazato has a ehaced capacty to lear, adapt, ad chage ad sees every experece (lke cotact wth a customer, formato gatherg about compettors, ad ew ways to solve problems) as a opportuty to mprove (Hamel 1994). orgacally structured orgazato: The orgazato s see as a learg orgasm: lvg systems who are depedet o the evromet whch they lve. Such orgazatos are structured as ope, adaptve systems that lve costat teracto wth ther surroudg. Because ths structure ought to be able to deal wth greater amouts of ucertaty t teds to be orgac rather tha mechastc (Gly 1996, Fol 1985, Stebbs 1998). Ths flexble, orgac structure supports ad ecourages crossfuctoal teamwork, small ad terlked (etworked) task-oreted orgazatoal uts, free formato flow, partcpatve desg, empowermet, evolutoary developmet, flatter herarchy, dstrbuto, ad mmal formalzato ad bureaucracy. These characterstcs are all favorable to cooperato, collaborato, ovato, reflectve acto-takg, ad learg wth the orgazato (Gephart 1996, Fol 1985, Powell 1997, Balasubramaa 1996). slack: Mohrma (2000) observes that the tme for eeded exchage s repeatedly crowded out by the pressure to meet the latest deadle : sharg should ot be stacked o top of everythg else. Orgazatos therefore help ther sharg actvtes by allowg ther employees slack tme to be reflectve, reframe ssues, ad lear ew competeces (Sche 1995a ad 1996a, Brow 1997, Ulrch 1998, Beath 1991). systems tegrated to daly workprocess: Kowledge sharg seems to work best whe t s a automatc part of orgazatoal lfe, so the systems that support t must work trasparetly ad seamlessly wth other elemets of the daly workprocess. metrcs: To ga sght the effectveess of actvtes coected to sharg there ought to be a way to measure ths Retur O Kowledge. Ellott (1997) observes Because someoe wll ultmately questo whether beeft s beg derved from spedg o maagemet, the value ad mpact should be motored from the begg. champo: A champo (or sposor) s a member of topmaagemet who uderstads the eed for sharg ad realzes how t ca leverage the performace of the orgazato. He or she has the authorty, the clout, ad ca commad the ecessary resources (lke people ad budget) to brg about the eeded orgazatoal chage (Ellott 1997). 3

4 clmate of opeess: It s mportat to have the rght orgazatoal clmate order for people to create, reveal, share, ad use (Daveport 1998, Choo 1995). A clmate of opeess may, accordg to Choo (1995), fluece the atttude of people to obta a ope-mdedess to deal wth the ufamlar ad the ufavorable, ad the boldess to expermet ad ovate : qury, dalogue, creatvty, expermetato, ad rsk-takg are ecouraged (Gephart 1996, Powell 1997). commutes: Stewart (1997) argues a compay eeds to foster teamwork, commutes of practce, ad other socal forms of learg. These commutes cosst of dvduals from dverse ad possbly dspersed orgazatoal uts who have a sese of coheso amog them ad are self-motvated to acheve ther goals. Commutes are mechasms ad platforms for the exchage of expereces, deas, vews, ad thoughts betwee people. collaborato: Collaborato s more tha workg together o the bass of compesato for help receved the past or atcpato of help eeded the future (Joes 1998). People share actvtes, processes, develop products together, ad share resposblty. Log (1997) expresses the vew that: Whe orms ad practces promote collaborato betwee fuctos ad operatg uts, teractos are much more lkely to create ew orgazatoal ad apply t more effectvely. dalogue: Sege (1992) otes that the Greek terpreted dalogos as a free flow of thoughts wth a group of people, whch created the possblty of elghtemet that could ot be attaed o a dvdual bass. Through free horzotal ad vertcal commucato flows a orgazato, mutual depedeces wth ad across orgazatoal fuctos ad uts crease. Ths allows for more frequet ad elaborate commucatos amog dsparate terests, ad stmulates mutual explorato across sub-culture boudares (Powell 1997, Sche 1996a). Dalogue creates a shared cotext ad atmosphere for sharg because people put forward ther belefs ad deas that are ormally kept to oeself (Tekas 1996). 2.3 Techologcal codtos A major objectve of formato ad commucato techology facltatg sharg s to coect people wth other people or wth explct (possbly rrespectve of tme ad place). We dstgush three, related dmesos. Oe dmeso s to have formato ad explct compoets ole, dexed ad mapped, wth easy access ad accurate retreval for all users ths stuato the emphass s put o explct. Aother dmeso s to mprove coordato, commucato, ad collaborato betwee people, teams, or groups to trasfer the from those who possess ths to people who eed or ca use ths (McGee 1996) here the emphass s o tact. The thrd dmeso s to offer poters to people wth a specal expertse or to documets that descrbe ths dmeso the emphass s o both tact ad explct. repostory: Kowledge repostores hold collectos of compoets that have a structured cotet lke formato from busess applcatos, mauals, reports ad artcles, or customer related databases. A cotet classfcato scheme or taxoomy s used to orgaze the repostores to facltate groupg, sortg, vsualzato, searchg, publcato, mapulato, refemet, ad avgato. routemap: Kowledge routemaps are gudes, drectores, or poters to a orgazato s teral ad exteral formato ad sources both tact ad explct. Kowledge routemaps provde poters to sources of that ca clude people wth a specal expertse or may offer lks to documets that descrbe research results, best practces, lessos leared, dagostcs tools, or lst frequetly 4

5 asked questos. Aother fuctoalty that routemaps offer s that of ole learg (computer based trag), whch access to possble teractve, multmeda educatoal materal s gve. collaboratve platform: A collaboratve platform s a fuctoalty of formato ad commucato techology that electrocally facltates group or teamwork ad collaborato. It s a dstrbuted vrtual evromet that may ecourage debate, dalogue, teracto, creatvty, ovato, ad sharg (Duffy 1996) that otherwse would have bee costraed by barrers of tme ad place. 2.4 Kowledge sharg s These eablg codtos may be clustered accordg to ther ature (Brk 2001): motvatoal (they ted to create a feelg of well beg for people), cultural (they try to crease the ablty of the orgazato to act upo sgals from the evromet), or strumetal (they supply strumets to facltate sharg). Ths leads us to beleve that some codtos are more approprate to stmulate a certa stuato tha others. We argue that ths ca be related to the developmet sharg of a orgazato. We characterze the developmet of a orgazato wth respect to sharg by several s. Gephart (1996) observes that whe a orgazato passes through each, sharg moves from beg utetoal, dvdualstc, ad ot tegrated to beg formalzed, expaded, ad coected; utl t s a collectve, strogly tegrated, ad daly part of the whole orgazato. As each reflects a partcular stage the developmet of sharg a orgazato t follows that some eablg codtos are more relevat to certa s tha to others. These s are derved from the sharg strategy of a orgazato, the ofte vsble role formato ad commucato techology ca play a orgazato wth respect to sharg, ad from the exstg lterature (Parlby 1999, Gephart 1996, Bar 1997). We propose the followg sharg s: uawareess : A orgazato the uawareess does ot realze the possble cotrbuto of to ts compettveess (Parlby 1999). Kowledge sharg s ot addressed the orgazatoal vso or strategy. repostory : The repostory s applcable to orgazatos that have become aware of the potetal value of formato ad. I ts strategy the orgazato pays atteto to formato maagemet ad t s wllg to vest formato systems. routemap : A orgazato the routemap realzes the beefts of ad udertakes creasg effort sharg. Ths focuses ot oly o sharg of explct but also o sharg of drect by meas of routemaps (Bar 1997). collaboratve platform : Orgazatos the collaboratve platform use to compete ad to address ther busess drvers. The way of workg s focused o partcpatve decso-makg, collaborato, ad learg together (Sche 1995), for stace commutes of practce. orgazatoal learg : Learg by tral ad error s sded by explct, systematc (double loop) learg. Compettve advatages are attaed through collectve learg the orgazato, through combato ad coordato of sklls, competeces ad techologes (Sche 1996, Choo 1998, Gephart 1996, Garv 1993). 5

6 The borders betwee each are ambguous for most orgazatos, but evertheless ths dstcto s wll help to dcate the status quo of a orgazato wth regard to the maturty level sharg. 2.5 Stable ad dyamc evromets I our theory we also cosder the evromet whch the orgazato operates. We dstgush betwee a stable ad dyamc evromet. Whether the evromet s stable or dyamc has ts repercussos o the sharg strategy. The sharg strategy ought to be guded by the characterstcs of the products or servces of the orgazato (Hase 1999). If the products ad servces are stadard or mature ad do ot vary much, we call ths a stable evromet ad the strategy should focus o elaborate storage ad easy access of explct. If however a orgazato sells customzed, uque, or ovatve products ad servces, about those products or servces does t have a hgh re-usage value or becomes out of date quckly. A orgazato such a evromet whch we label dyamc should cosder offerg easy access to specalsts ad experts because people eed to share formato ad that would get lost f t had bee codfed. We argue that the sharg strategy s to be reflected the sequece of the sharg s. A orgazato a stable evromet puts emphass o explct ad therefore wll go through the uawareess, the repostory, the routemap, the collaboratve platform, ad the orgazatoal learg. O the other had, a orgazato a dyamc evromet s focused o tact ad wll move from the uawareess, to the collaboratve platform, the routemap, the repostory, ad to the orgazatoal learg. We see that the dfferece the sequece of the sharg s for the two types of evromet s demostrated through a terchage of the repostory wth the routemap. 2.6 Kowledge sharg s related to eablg codtos I the table below we postulate for each type of evromet for each relatoshps wth ther most approprate socal, orgazatoal, ad techologcal codtos that eable sharg. Wth each cell we lst ts codtos a sequece that we detfy as a dcato of the fluece of such a codto o sharg whe compared to the other codtos the cell. Brk (2001) provdes a justfcato for the postog of each codto. Uawareess Kowledge repostory Kowledge routemap Collaboratve platform STABLE ENVIRONMENT Socal Orgazatoal Techologcal oe apprasal; competece leverage crew trust; care; empowermet slack; systems tegrated to daly workprocess champo; metrcs clmate of opeess; dalogue; commutes; collaborato repostory routemap collaboratve platform 6

7 Orgazatoal learg Uawareess Collaboratve platform Kowledge routemap Kowledge repostory Orgazatoal learg orgacally structured orgazato; learg orgazato DYNAMIC ENVIRONMENT Socal Orgazatoal Techologcal oe trust; care; apprasal; competece leverage; empowermet crew clmate of opeess; slack; dalogue; commutes; champo; collaborato metrcs systems tegrated to daly workprocess orgacally structured orgazato; learg orgazato Table 1: Kowledge sharg s ad eablg codtos collaboratve platform routemap repostory 3 A model for measuremet Our model to measure the eablg codtos s based o a pragmatc quatfcato ad rakg of these codtos. Frst we preset the basc formula of ths model. Next we propose a rakg of the eablg codtos to dcate a possble dfferece the sgfcace of these codtos for sharg. Ths rakg takes the ature of the evromet stable or dyamc of the orgazato to accout. We also calculate mmum, maxmum, ad threshold values for each sharg that we detfed. Usg our formula, the rakg ad a realstc quatfcato of the exstg codtos, we ca calculate the level of facltated sharg for the orgazato at had. Whe we subsequetly make use of the values defed for the sharg s, we are able to determe the applcable sharg. After cotemplato whether we eed to stregthe the curret sharg or to accomplsh a trasto to the ext, we ca establsh whch codtos usg Table 1 ad ther curret values are the most approprate to stmulate. 3.1 The basc formula Our formula for measuremet s costructed from the detfed codtos that facltate sharg. We defe the level of facltated sharg a orgazato as determed by a fucto of ts eablg codtos. Level _ of _ Facltate d _ Kowledge _ Sharg f Codtos 7

8 Multplcato of (the value of) these eablg codtos dcates that all codtos cotrbute to sharg, ad t also shows that a low score o oe codto sgfcatly reduces the overall level of facltated sharg. However, order to damp a perhaps too strog propagato of a chage a codto we propose to use the logarthm fucto, whch s of a slowly creasg ature. I ths respect a useful property of the logarthm fucto s the followg: log Codto Codto log Codto log Codto,, j 1 j Whe we thereby choose to quatfy all codtos the closed terval of 1 to 10, the logarthm fucto results a value that falls the closed terval of 0 to 1 (ad ths compactess has a practcal arthmetc value): Codto 1,10 log Codto 0,1, 1 Because we wat to create a possblty to dcate a possble varace sgfcace of these eablg codtos, we assocate weghts (.e. coeffcets) to these codtos. Ths results our basc formula: j Level _ of _ Facltate d _ Kowledge _ Sharg log Codto 1 Whe we rak the eablg codtos, we ca arrage ther coeffcets a ordal scale: 1 2 k, k 1.. Because they are all weghts, we defe the sum of these coeffcets as equal to 1: Ad applyg the expresso: Gves the followg ordal value for a arbtrary coeffcet: 1 k 1 k, k The mmum value of our basc formula s 0 ad the maxmum value equals 1: 1.. Codto logcodto 0 Level _ of _ Facltate d _ Kowledge _ Sharg m 8

9 1.. Codto logcodto 1 Level _ of _ Facltate d _ Kowledge _ Sharg max 3.2 Rakg of the socal, orgazatoal, ad techologcal codtos I ths secto we propose a rakg of the 19 eablg codtos. Ths rakg dcates a dfferece the sgfcace of these codtos for sharg. We use ther motvatoal, cultural, or strumetal ature (as addressed Brk 2001) ad ther postog Table 1 to establsh ths rakg. We argue that codtos that are focused o motvatoal aspects bear the most sgfcace o sharg because whe people are ot motvated to partcpate, ay sharg program wll most lkely fal. Next, we cosder codtos of a cultural ature to have more mpact o sharg tha strumetal codtos, because we regard these strumetal codtos the sese that s gve the structuratoal model of Orlkowsk (1992): as a facltator or medum of huma acto, ad whe the (orgazatoal) evromet s ot coducve to sharg there s o huma acto to facltate. Ths meas that the motvatoal codtos apprasal, care, ad competece leverage wll have the hghest rakg. The cultural codtos empowermet, trust, clmate of opeess, collaborato, commutes, dalogue, learg orgazato, orgacally structured orgazato, ad slack come wth respect to rakg after that. The lowest rakg wll be held by the strumetal codtos crew, champo, metrcs, systems tegrated to daly workprocess, collaboratve platform, repostory, ad routemap. We detal ths rakg usg the sequece of the sharg s, because sharg bulds o sharg -1. We saw that ths sequece s ot the same for the two types of evromet. I addto, we use the postog of the codtos each cell of Table 1, because ths order also dcates a fluece o sharg relatve to the other codtos lsted ths cell. We resolve coflcts (where more tha oe codto wll ed up wth the same rakg) by cosderg the type of these codtos (socal, orgazatoal, ad techologcal), ad we apply the same reasog as above to defe whch codto has more sgfcace o sharg: ths vew socal codtos rak hgher tha orgazatoal codtos, whch ther tur rak hgher tha techologcal codtos. Our rakg s show Fgure 2. We ca summarze our rakg method as follows: we rak the eablg codtos dfferetly for the stable ad dyamc evromet. We frst cosder the motvatoal, cultural, or strumetal ature of a codto. Subsequetly we take the sharg of that codto to accout ad use the relatve mportace of that codto. If ecessary, we also cosder the type of a codto (whether t s socal, orgazatoal, or techologcal). 3.3 Values for sharg tervals For each sharg we wll calculate a terval that gves a upper ad lower lmt of the level of facltated sharg that. We therefore dvde the terval of [0, 1] of the basc formula to tervals assocated wth the sharg 9

10 s. For each we wll defe ts terval usg the rakg of the most approprate codtos for ths, where the rakg s dcated by the ordal umber. Sce the umber of detfed eablg codtos s 19, we have the followg ordal value for a arbtrary coeffcet: k 20 k, 190 k 1,19 Whe we apply the rakg as defed the precedg secto, we ca wrte our basc formula as a scalar product of two vectors a 19-dmesoal space: the coeffcets are multpled wth the log fucto of the raked codtos. The vector that cossts of the raked codtos, for a stable or dyamc evromet respectvely, s preseted below: competece leverage care slack trust empowermet clmate of opeess dalogue commutes log collaborato orgacally apprasal structured orgazato learg orgazato tegrated to daly workprocess repostory crew champo metrcs routemap collaboratve platform apprasal competece leverage trust empowermet clmate of opeess slack dalogue commutes log collaborato orgacally care structured orgazato learg orgazato champo collaboratve platform crew metrcs routemap tegrated to daly workprocess repostory Fgure 2: Vector of raked codtos for stable (left) ad dyamc (rght) evromets The vector that arrages the coeffcets a ordal scale s as follows: Fgure 3: Vector of 19 coeffcets a ordal scale I Table 2 below we propose values for sharg tervals that quatfy ad cofe a sharg. We preset ths for both (stable ad dyamc) evromets. The table lsts the codtos most approprate to a certa (as defed Table 1 above), ad all socal, orgazatoal, ad techologcal codtos have the umerator of ther ordal umber attached (whch s derved from the vectors above). For 10

11 example: the codto slack a stable evromet has the coeffcet (or ordal umber) 16, therefore the table after slack ( the stable evromet) we lst the umber To calculate the maxmum value of a sharg terval we assg each codto that we defed Table 1 as most approprate to ths ts maxmum value of 10, whch results a value of 1 for ts logarthm fucto. Ths eables us to add all ordal umbers of these codtos to yeld the maxmum value of the sharg. For example: let us calculate the maxmum value for the repostory a stable evromet. I Table 1 above we related fve codtos wth ths : apprasal, competece leverage, slack, systems tegrated to daly workprocess, ad repostory. The ordal umbers of these codtos ths evromet are respectvely: ,,,, Whe we sum these ordal umbers we get approxmately as the maxmum value for the repostory a stable evromet. Ths maxmum value s used to calculate the threshold of the at had. We choose the threshold to be 75% of ths maxmum value, but ths percetage may be adapted to ft specfc characterstcs of a orgazato. For example: the threshold of the repostory a stable evromet s 75% * = The maxmum value s also used to determe the upper lmt of the at had: t s added to the lower lmt (whch s the upper lmt of the precedg ). The lower lmt of the frst s 0, for ths s the mmum value of the terval of the basc formula. For example: the terval of the routemap a stable evromet s [0.3474, ), because (whch s the upper lmt of the repostory ) added to (whch s the maxmum value of the routemap ) gves Uawareess Kowledge repostory Kowledge routemap Collaboratve platform Orgazatoal learg Socal Orgazatoal STABLE ENVIRONMENT Techologcal Maxmum Threshold Iterval oe oe oe ot applcable ot applcable ot applcable apprasal = 19; competece leverage = 18 crew = 5 trust = 15; care = 17; empowermet = 14 slack = 16; systems tegrated to daly workprocess = 7 champo = 4; metrcs = 3 clmate of opeess = 13; dalogue = 12; commutes = 11; collaborato = 10 orgacally structured orgazato = 9; learg orgazato = 8 repostory = 6 routemap = 2 collaboratve platform = 1 66/ / / / [0, ) [0.3474, ) [0.4211, ) [0.9106, 1] 11

12 Uawareess Collaboratve platform Kowledge routemap Kowledge repostory Orgazatoal learg Socal Orgazatoal DYNAMIC ENVIRONMENT Techologcal Maxmum Threshold Iterval oe oe oe ot applcable ot applcable ot applcable trust = 16; care = 19; apprasal = 18; competece leverage = 17; empowermet = 15 crew = 5 clmate of opeess = 14; slack = 13; dalogue = 12; commutes = 11; champo = 7; collaborato = 10 metrcs = 4 systems tegrated to daly workprocess = 2 orgacally structured orgazato = 9; learg orgazato = 8 collaboratve platform = 6 routemap = 3 repostory = 1 158/ / / / Table 2: Kowledge sharg tervals [0, ) [0.8316, ) [0.8948, ) [0.9106, 1] 3.4 The level of facltated sharg Table 2 s used to determe whch sharg s applcable to a orgazato,.e. whch wth ts specfc characterstcs typfes the developmet of that orgazato wth respect to sharg. We apply the actual value of the codtos to calculate the level of facltated sharg. These actual values as they are preset the orgazato ca be obtaed from coductg sem-structured, -depth tervews wth pre-selected tervewees who are a posto to dscuss a varety of aspects about sharg ad have a broad overvew o the way-of-workg ther orgazato. The tervew protocol cossts of askg a quatfcato for each codto o a scale from 1 to 10 (to dcate a ot preset up to a completely fulflled codto) ad a justfcato for ths percepto. However, the resultg overall value s costructed from all codtos,.e. also from codtos that are related to dfferet sharg s. To be able to determe the rght that s applcable to a orgazato, we apply thresholds (as lsted Table 2). We cosder a fulflled whe the actual value of the codtos related to that yeld a value greater tha or equal to ts threshold. Because sharg bulds o sharg -1 we always check the frst ( case of a stable evromet ths s the repostory, a dyamc evromet ths s the collaboratve platform ) to see whether t s fulflled. If so, we check the ext utl the threshold of the uder scruty ca ot be passed. The last fulflled sharg s the applcable to the orgazato at had. 12

13 The overall value ca be used whe measured perodcally to dcate a possble progress the level of facltated sharg. Whe the dcated by the overall value for the level of facltated sharg s ot the same as the applcable, ths may suggest that the sharg efforts are ufocused ad ucoected, or that a orgazatoal sharg strategy s lackg or does ot ft the characterstcs of the orgazato. It may also mea that the relatoshps betwee the eablg codtos ad the sharg s as defed our theory eed to be refed. 4 A cotuous cycle of measuremet ad acto Our method ca be characterzed as a cotuous cycle of acto ad measuremet. Acto s defed as the stmulato of approprate eablg codtos. By quatfyg codtos, before ad some tme after a codto s stmulated, a chage the level of facltated sharg may become vsble. Ths measured varato may become a dcator of the effectveess of (oe or more) actos take. Ths cotuous cycle s started by a tal measuremet ad a tal acto that cossts of the followg steps: decde o the ature of the evromet of the orgazato: stable or dyamc; quatfy all eablg codtos preset by estmatg ther degree of fulfllmet the orgazato, where the value of a codto s defed to be the terval betwee 1 ad 10; use the values of these codtos ad ther rakg (cosderg the type of evromet) to calculate the scalar product as formulated 3.4: ths results a overall value for the level of facltated sharg the orgazato at had; employ also the values of these codtos, ther rakg, ther relato wth the sharg s, the thresholds, ad the fulfllmet of the s to determe whch s applcable to the orgazato, the way as preseted 3.4; based o ths detfed sharg we decde whether we ehace the curret sharg or whether we facltate a trasto from the preset to the ext ; tha we kow whch codtos from Table 1 ad ther curret values are most approprate for stmulatg sharg ad we ca put to practce actualzatos of these codtos. The tal actos take to stmulate the detfed codtos wll have ther effect o the level of facltated sharg the orgazato. A cotuous cycle of measuremet ad acto should follow. After some tme the mpact of the actos take s assessed by calculatg the altered overall value for the level of facltated sharg usg the presumably chaged values of the eablg codtos. Ths ca be used to motor progress ad measure results. The measuremet wll gve rse to aother acto,.e. a addtoal stmulato of codtos volved. 13

14 5 Dscusso ad cocluso I ths paper we developed a dagostc model to measure the level of facltated sharg level a orgazato. Ths model detfes the eablg codtos most approprate to stmulate ad t facltates measurg the effectveess of actualzatos of these codtos. Some propostos ths artcle warrat a dscusso to obta a ecessary refemet ad a perhaps better attuemet to realty: Are the 19 eablg codtos that we detfed ths paper, the key codtos that eable sharg? Is the breakdow to the sharg s as we troduced them ths artcle correct? Is t advsable for orgazatos to go through all s ad reach the ultmate or orgazatoal learg, o matter what costs are curred? Do the codtos belog to the sharg s the way that we preseted them? A related ssue s whether the sequece of the codtos as we lsted them the table-cells s deed the correct sequece? Do we apply the proper argumetato whe we defe the rakg of the codtos? Is t logcal to make use of a ordal scale whe rakg the codtos? Are the tervals of the sharg s determed a correct way? Do we defe the thresholds a realstc maer? Is the quatfcato of the eablg codtos always executed a subjectve maer? If so, ca you prevet that a persoal bas slps to ths process? Wth respect to quatfyg the perceved fluece codtos may have o sharg, we commet that the outcomes wll ofte be a approxmato of the exact, actual real-lfe stuato. Wthout ay abstracto, realty s hard to quatfy: orgazatos are of a hghly complex ature, the teractos betwee people are characterzed by pheomea that are ether drectly observable or easly dscerble, ad t s trcate to determe whether behavoral chage (of people or of orgazatos) ca be attrbuted to sharg. We argue that the possble fluece of codtos o sharg s ot clearly demostrable: sharg tself s barely quatfable ad there does ot exst a stadard or orm value to compare to. Therefore we emphasze the prmary objectve of our research: to uderstad ad ga sght to codtos related to sharg a orgazato. Measuremet as defed ths paper should always be see from ths perspectve ad should be regarded as a geeral, applcable, uderstadable, ad practcal tool. It helps orgazatos to become more aware of ther curret status wth respect to sharg ad t helps to measure the effect of actos take to stmulate sharg. Refereces Bar, J. (1997), Kowledge Maagemet, Proceedgs Garter Group Symposum ITxpo97, Caes. Balasubramaa, V. (1996), Orgazatoal Learg ad Iformato Systems, URL accessed November Beath, C.M. (1991), Supportg the Iformato Techology Champo, MIS Quarterly, Vol. 15, No. 3, September 1991, pp

15 Brk, P. va de (2001), Socal, Orgazatoal, ad Techologcal Codtos for Kowledge Sharg, Dssertato, Delft Uversty of Techology, to be publshed. Brow, S.A. (1997), Kowledge, Commucato, ad Progressve Use of Iformato Techology, Thess, Uversty of Mesota. Choo, Chu We (1995), Iformato Maagemet for the Itellget Orgazato, URL accessed September Choo, Chu We (1998), The Kowg Orgazato: How Orgazatos Use Iformato to Costruct Meag, Create Kowledge, ad Make Decsos, Oxford Uversty Press, New York. Daveport, T.H., Log, D.W. de & Beers, M.C. (1998), Successful Kowledge Maagemet Projects, Sloa Maagemet Revew, Vol. 39, No. 2, Wter 1998, pp Davs, M.C. (1998), Kowledge Maagemet, Iformato Strategy: The Executve s Joural, Vol. 15, No. 1, Fall 1998, pp Duffy, J. (1996), Collaboratve Computg, Groupware ad Kowledge, Iformato Maagemet & Computer Securty, Vol. 4, No. 2, pp Ellott, S. (edtor) (1997), Usg Iformato Techology to Support Kowledge Maagemet, Amerca Productvty & Qualty Ceter, Housto. Fol, C.M. & Lyles, M.A. (1985), Orgazatoal Learg, Academy of Maagemet Revew, Vol. 10, No. 4, pp Garv, D.A. (1993), Buldg a learg orgazato, Harvard Busess Revew, July- August 1993, pp Gephart, M.A., Marsck, V.J., Va Bure, M.E. & Spro, M.S. (1996), Learg Orgazatos Come Alve, Trag & Developmet, December 1996, pp Gly, M.A. (1996), Iovatve Geus: A Framework for Relatg Idvdual ad Orgazatoal Itellgeces to Iovato, Academy of Maagemet Revew, Vol. 21, No. 4, pp Hamel, G. & Prahalad, C.K. (1994), Competg for the Future; Breakthrough Strateges for Sezg Cotrol of Your Idustry ad Creatg the Markets of Tomorrow, Harvard Busess School Press. Hase, M.T., Nohra, N. & Terey, Th. (1999), What s Your Strategy for Maagg Kowledge?, Harvard Busess Revew, March-Aprl 1999, pp Joes, G.R. & George, J.M. (1998), The Experece ad Evoluto of Trust: Implcatos for Cooperato ad Teamwork, Academy of Maagemet Revew, Vol. 23, No. 3, July 1998, pp Krogh, G. vo (1998), Care Kowledge Creato, Calfora Maagemet Revew, Vol. 40, No. 3, Sprg 1998, pp Ladry, J. (1992), Iformato Characterstcs as Costrats to Iovato, Proceedgs of the Twety-Ffth Hawa Iteratoal Coferece o System Sceces 92, IEEE Press, CA, Vol. 4, pp Log, D.W. de (1997), Buldg the Kowledge-Based Orgazato: How Culture Drves Kowledge Behavors, Workg Paper, Erst & Youg s Ceter for Busess Iovato, Bosto. McGee, J.V. & Prusak, L. (1996), Strategsch Iformatemaagemet (Maagg Iformato Strategcally), BoekWerk Groge. Mohrma, S. & Fegold, D. (2000), Strateges for the Kowledge Ecoomy: From Rhetorc to Realty, World Ecoomc Forum, Davos, Jauary Noaka, I. & Takeuch, H. (1995), The Kowledge-Creatg Compay: How Japaese Compaes Create the Dyamcs of Iovato, New York, Oxford Uversty Press. 15

16 Orlkowsk, W.J. (1992), The Dualty of Techology: Rethkg the Cocept of Techology Orgazatos, Orgazato Scece, Vol. 3, No. 3, August 1992, pp Parlby, D. (1999), The Kowledge Jourey: A Busess Gude to Kowledge Maagemet, KPMG Cosultg, Lodo, URL pubs/jourey.html, accessed December Powell, T.C. & Det-Mcallef, A. (1997), Iformato Techology as Compettve Advatage: The Role of Huma, Busess, ad Techology Resources, Strategc Maagemet Joural, Vol. 18, No. 5, pp Sche, E.H. (1995), Buldg the Learg Cosortum, Massachusetts Isttute of Techology, Sloa School of Maagemet, URL /dex.html, accessed August Sche, E.H. (1995a), Learg Cosorta: How to Create Parallel Learg systems for Orgazato Sets, Massachusetts Isttute of Techology, Sloa School of Maagemet, URL accessed August Sche, E.H. (1996), Orgazatoal Learg as Cogtve Re-defto: Coercve Persuaso Revsted, Massachusetts Isttute of Techology, Sloa School of Maagemet, URL accessed August Sche, E.H. (1996a), Orgazatoal Learg: What s New?, Massachusetts Isttute of Techology, Sloa School of Maagemet, URL res/wp/dex. html, accessed August Sege, P.M. (1990), The Ffth Dscple: The Art ad Practce of The Learg Orgazato, Doubleday, New York. Stebbs, M.W. & Sha, A.B. (1998), Orgazato Desg ad the Kowledge Worker, Joural of Systemc Kowledge Maagemet, URL jourals/ /ssue1/artcle5.htm, accessed Aprl Stewart, Th.A. (1997), Bra Power: Who Ows It How They Proft from It, Fortue, March 17, 1997, pp Stewart, Th.A. (1997a), Itellectual Captal. The New Wealth of Orgazatos, Ncolas Brealey Publshg Ltd, Lodo. Tekas, R.V. & Bolad, R.J. (1996), Explorg Kowledge Dversty Kowledge Itesve Frms: A New Role for Iformato Systems, Joural of Orgazatoal Chage, Vol. 9, No. 1, pp Trussler, S. (1998), The Rules of the Game, Joural of Busess Strategy, Vol. 19, No. 1, Jauary/February 1998, pp ,. Ulrch, D. (1998), Itellectual Captal = Competece X Commtmet, Sloa Maagemet Revew, Vol. 39, No. 2, Wter 1998, pp Weggema, M.C.D.P. (1997), Cultuur e Maagemetstjl Kesteseve Orgasates, Hollad/Belgum Maagemet Revew, No. 54, pp

Green Master based on MapReduce Cluster

Green Master based on MapReduce Cluster Gree Master based o MapReduce Cluster Mg-Zh Wu, Yu-Chag L, We-Tsog Lee, Yu-Su L, Fog-Hao Lu Dept of Electrcal Egeerg Tamkag Uversty, Tawa, ROC Dept of Electrcal Egeerg Tamkag Uversty, Tawa, ROC Dept of

More information

Models for Selecting an ERP System with Intuitionistic Trapezoidal Fuzzy Information

Models for Selecting an ERP System with Intuitionistic Trapezoidal Fuzzy Information JOURNAL OF SOFWARE, VOL 5, NO 3, MARCH 00 75 Models for Selectg a ERP System wth Itutostc rapezodal Fuzzy Iformato Guwu We, Ru L Departmet of Ecoomcs ad Maagemet, Chogqg Uversty of Arts ad Sceces, Yogchua,

More information

IDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki

IDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki IDENIFICAION OF HE DYNAMICS OF HE GOOGLE S RANKING ALGORIHM A. Khak Sedgh, Mehd Roudak Cotrol Dvso, Departmet of Electrcal Egeerg, K.N.oos Uversty of echology P. O. Box: 16315-1355, ehra, Ira sedgh@eetd.ktu.ac.r,

More information

Projection model for Computer Network Security Evaluation with interval-valued intuitionistic fuzzy information. Qingxiang Li

Projection model for Computer Network Security Evaluation with interval-valued intuitionistic fuzzy information. Qingxiang Li Iteratoal Joural of Scece Vol No7 05 ISSN: 83-4890 Proecto model for Computer Network Securty Evaluato wth terval-valued tutostc fuzzy formato Qgxag L School of Software Egeerg Chogqg Uversty of rts ad

More information

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability Egeerg, 203, 5, 4-8 http://dx.do.org/0.4236/eg.203.59b003 Publshed Ole September 203 (http://www.scrp.org/joural/eg) Mateace Schedulg of Dstrbuto System wth Optmal Ecoomy ad Relablty Syua Hog, Hafeg L,

More information

The Analysis of Development of Insurance Contract Premiums of General Liability Insurance in the Business Insurance Risk

The Analysis of Development of Insurance Contract Premiums of General Liability Insurance in the Business Insurance Risk The Aalyss of Developmet of Isurace Cotract Premums of Geeral Lablty Isurace the Busess Isurace Rsk the Frame of the Czech Isurace Market 1998 011 Scetfc Coferece Jue, 10. - 14. 013 Pavla Kubová Departmet

More information

Report 52 Fixed Maturity EUR Industrial Bond Funds

Report 52 Fixed Maturity EUR Industrial Bond Funds Rep52, Computed & Prted: 17/06/2015 11:53 Report 52 Fxed Maturty EUR Idustral Bod Fuds From Dec 2008 to Dec 2014 31/12/2008 31 December 1999 31/12/2014 Bechmark Noe Defto of the frm ad geeral formato:

More information

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis 6.7 Network aalyss Le data that explctly store topologcal formato are called etwork data. Besdes spatal operatos, several methods of spatal aalyss are applcable to etwork data. Fgure: Network data Refereces

More information

Research on Matching Degree of Resources and Capabilities of Enterprise Transformation Based on the Spatial Points Distance

Research on Matching Degree of Resources and Capabilities of Enterprise Transformation Based on the Spatial Points Distance Sed Orders for Reprts to reprts@bethamscece.ae The Ope Cyberetcs & Systemcs Joural, 05, 9, 77-8 77 Ope Access Research o Matchg Degree of Resources ad Capabltes of Eterprse Trasformato Based o the Spatal

More information

A Parallel Transmission Remote Backup System

A Parallel Transmission Remote Backup System 2012 2d Iteratoal Coferece o Idustral Techology ad Maagemet (ICITM 2012) IPCSIT vol 49 (2012) (2012) IACSIT Press, Sgapore DOI: 107763/IPCSIT2012V495 2 A Parallel Trasmsso Remote Backup System Che Yu College

More information

The Application of Intuitionistic Fuzzy Set TOPSIS Method in Employee Performance Appraisal

The Application of Intuitionistic Fuzzy Set TOPSIS Method in Employee Performance Appraisal Vol.8, No.3 (05), pp.39-344 http://dx.do.org/0.457/uesst.05.8.3.3 The pplcato of Itutostc Fuzzy Set TOPSIS Method Employee Performace pprasal Wag Yghu ad L Welu * School of Ecoomcs ad Maagemet, Shazhuag

More information

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are :

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are : Bullets bods Let s descrbe frst a fxed rate bod wthout amortzg a more geeral way : Let s ote : C the aual fxed rate t s a percetage N the otoal freq ( 2 4 ) the umber of coupo per year R the redempto of

More information

The impact of service-oriented architecture on the scheduling algorithm in cloud computing

The impact of service-oriented architecture on the scheduling algorithm in cloud computing Iteratoal Research Joural of Appled ad Basc Sceces 2015 Avalable ole at www.rjabs.com ISSN 2251-838X / Vol, 9 (3): 387-392 Scece Explorer Publcatos The mpact of servce-oreted archtecture o the schedulg

More information

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data ANOVA Notes Page Aalss of Varace for a Oe-Wa Classfcato of Data Cosder a sgle factor or treatmet doe at levels (e, there are,, 3, dfferet varatos o the prescrbed treatmet) Wth a gve treatmet level there

More information

Applications of Support Vector Machine Based on Boolean Kernel to Spam Filtering

Applications of Support Vector Machine Based on Boolean Kernel to Spam Filtering Moder Appled Scece October, 2009 Applcatos of Support Vector Mache Based o Boolea Kerel to Spam Flterg Shugag Lu & Keb Cu School of Computer scece ad techology, North Cha Electrc Power Uversty Hebe 071003,

More information

Banking (Early Repayment of Housing Loans) Order, 5762 2002 1

Banking (Early Repayment of Housing Loans) Order, 5762 2002 1 akg (Early Repaymet of Housg Loas) Order, 5762 2002 y vrtue of the power vested me uder Secto 3 of the akg Ordace 94 (hereafter, the Ordace ), followg cosultato wth the Commttee, ad wth the approval of

More information

A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS

A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS L et al.: A Dstrbuted Reputato Broker Framework for Web Servce Applcatos A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS Kwe-Jay L Departmet of Electrcal Egeerg ad Computer Scece

More information

An Effectiveness of Integrated Portfolio in Bancassurance

An Effectiveness of Integrated Portfolio in Bancassurance A Effectveess of Itegrated Portfolo Bacassurace Taea Karya Research Ceter for Facal Egeerg Isttute of Ecoomc Research Kyoto versty Sayouu Kyoto 606-850 Japa arya@eryoto-uacp Itroducto As s well ow the

More information

IP Network Topology Link Prediction Based on Improved Local Information Similarity Algorithm

IP Network Topology Link Prediction Based on Improved Local Information Similarity Algorithm Iteratoal Joural of Grd Dstrbuto Computg, pp.141-150 http://dx.do.org/10.14257/jgdc.2015.8.6.14 IP Network Topology Lk Predcto Based o Improved Local Iformato mlarty Algorthm Che Yu* 1, 2 ad Dua Zhem 1

More information

An Approach to Evaluating the Computer Network Security with Hesitant Fuzzy Information

An Approach to Evaluating the Computer Network Security with Hesitant Fuzzy Information A Approach to Evaluatg the Computer Network Securty wth Hestat Fuzzy Iformato Jafeg Dog A Approach to Evaluatg the Computer Network Securty wth Hestat Fuzzy Iformato Jafeg Dog, Frst ad Correspodg Author

More information

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract Preset Value of Autes Uder Radom Rates of Iterest By Abraham Zas Techo I.I.T. Hafa ISRAEL ad Uversty of Hafa, Hafa ISRAEL Abstract Some attempts were made to evaluate the future value (FV) of the expected

More information

APPENDIX III THE ENVELOPE PROPERTY

APPENDIX III THE ENVELOPE PROPERTY Apped III APPENDIX III THE ENVELOPE PROPERTY Optmzato mposes a very strog structure o the problem cosdered Ths s the reaso why eoclasscal ecoomcs whch assumes optmzg behavour has bee the most successful

More information

Commercial Pension Insurance Program Design and Estimated of Tax Incentives---- Based on Analysis of Enterprise Annuity Tax Incentives

Commercial Pension Insurance Program Design and Estimated of Tax Incentives---- Based on Analysis of Enterprise Annuity Tax Incentives Iteratoal Joural of Busess ad Socal Scece Vol 5, No ; October 204 Commercal Peso Isurace Program Desg ad Estmated of Tax Icetves---- Based o Aalyss of Eterprse Auty Tax Icetves Huag Xue, Lu Yatg School

More information

1. The Time Value of Money

1. The Time Value of Money Corporate Face [00-0345]. The Tme Value of Moey. Compoudg ad Dscoutg Captalzato (compoudg, fdg future values) s a process of movg a value forward tme. It yelds the future value gve the relevat compoudg

More information

Average Price Ratios

Average Price Ratios Average Prce Ratos Morgstar Methodology Paper August 3, 2005 2005 Morgstar, Ic. All rghts reserved. The formato ths documet s the property of Morgstar, Ic. Reproducto or trascrpto by ay meas, whole or

More information

RESEARCH ON PERFORMANCE MODELING OF TRANSACTIONAL CLOUD APPLICATIONS

RESEARCH ON PERFORMANCE MODELING OF TRANSACTIONAL CLOUD APPLICATIONS Joural of Theoretcal ad Appled Iformato Techology 3 st October 22. Vol. 44 No.2 25-22 JATIT & LLS. All rghts reserved. ISSN: 992-8645 www.jatt.org E-ISSN: 87-395 RESEARCH ON PERFORMANCE MODELING OF TRANSACTIONAL

More information

Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R =

Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R = Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS Objectves of the Topc: Beg able to formalse ad solve practcal ad mathematcal problems, whch the subjects of loa amortsato ad maagemet of cumulatve fuds are

More information

AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM ON CLOUD SERVICE PROVIDER BASED ON GENETIC

AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM ON CLOUD SERVICE PROVIDER BASED ON GENETIC Joural of Theoretcal ad Appled Iformato Techology 0 th Aprl 204. Vol. 62 No. 2005-204 JATIT & LLS. All rghts reserved. ISSN: 992-8645 www.jatt.org E-ISSN: 87-395 AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM

More information

Application of Grey Relational Analysis in Computer Communication

Application of Grey Relational Analysis in Computer Communication Applcato of Grey Relatoal Aalyss Computer Commucato Network Securty Evaluato Jgcha J Applcato of Grey Relatoal Aalyss Computer Commucato Network Securty Evaluato *1 Jgcha J *1, Frst ad Correspodg Author

More information

A New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree

A New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree , pp.277-288 http://dx.do.org/10.14257/juesst.2015.8.1.25 A New Bayesa Network Method for Computg Bottom Evet's Structural Importace Degree usg Jotree Wag Yao ad Su Q School of Aeroautcs, Northwester Polytechcal

More information

Online Appendix: Measured Aggregate Gains from International Trade

Online Appendix: Measured Aggregate Gains from International Trade Ole Appedx: Measured Aggregate Gas from Iteratoal Trade Arel Burste UCLA ad NBER Javer Cravo Uversty of Mchga March 3, 2014 I ths ole appedx we derve addtoal results dscussed the paper. I the frst secto,

More information

Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software

Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software J. Software Egeerg & Applcatos 3 63-69 do:.436/jsea..367 Publshed Ole Jue (http://www.scrp.org/joural/jsea) Dyamc Two-phase Trucated Raylegh Model for Release Date Predcto of Software Lafe Qa Qgchua Yao

More information

Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts

Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts Optmal replacemet ad overhaul decsos wth mperfect mateace ad warraty cotracts R. Pascual Departmet of Mechacal Egeerg, Uversdad de Chle, Caslla 2777, Satago, Chle Phoe: +56-2-6784591 Fax:+56-2-689657 rpascual@g.uchle.cl

More information

of the relationship between time and the value of money.

of the relationship between time and the value of money. TIME AND THE VALUE OF MONEY Most agrbusess maagers are famlar wth the terms compoudg, dscoutg, auty, ad captalzato. That s, most agrbusess maagers have a tutve uderstadg that each term mples some relatoshp

More information

Numerical Methods with MS Excel

Numerical Methods with MS Excel TMME, vol4, o.1, p.84 Numercal Methods wth MS Excel M. El-Gebely & B. Yushau 1 Departmet of Mathematcal Sceces Kg Fahd Uversty of Petroleum & Merals. Dhahra, Saud Araba. Abstract: I ths ote we show how

More information

Statistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology

Statistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology I The Name of God, The Compassoate, The ercful Name: Problems' eys Studet ID#:. Statstcal Patter Recogto (CE-725) Departmet of Computer Egeerg Sharf Uversty of Techology Fal Exam Soluto - Sprg 202 (50

More information

Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), January Edition, 2011

Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), January Edition, 2011 Cyber Jourals: Multdscplary Jourals cece ad Techology, Joural of elected Areas Telecommucatos (JAT), Jauary dto, 2011 A ovel rtual etwork Mappg Algorthm for Cost Mmzg ZHAG hu-l, QIU Xue-sog tate Key Laboratory

More information

Load and Resistance Factor Design (LRFD)

Load and Resistance Factor Design (LRFD) 53:134 Structural Desg II Load ad Resstace Factor Desg (LRFD) Specfcatos ad Buldg Codes: Structural steel desg of buldgs the US s prcpally based o the specfcatos of the Amerca Isttute of Steel Costructo

More information

Optimal multi-degree reduction of Bézier curves with constraints of endpoints continuity

Optimal multi-degree reduction of Bézier curves with constraints of endpoints continuity Computer Aded Geometrc Desg 19 (2002 365 377 wwwelsevercom/locate/comad Optmal mult-degree reducto of Bézer curves wth costrats of edpots cotuty Guo-Dog Che, Guo-J Wag State Key Laboratory of CAD&CG, Isttute

More information

Optimization Model in Human Resource Management for Job Allocation in ICT Project

Optimization Model in Human Resource Management for Job Allocation in ICT Project Optmzato Model Huma Resource Maagemet for Job Allocato ICT Project Optmzato Model Huma Resource Maagemet for Job Allocato ICT Project Saghamtra Mohaty Malaya Kumar Nayak 2 2 Professor ad Head Research

More information

Performance Attribution. Methodology Overview

Performance Attribution. Methodology Overview erformace Attrbuto Methodology Overvew Faba SUAREZ March 2004 erformace Attrbuto Methodology 1.1 Itroducto erformace Attrbuto s a set of techques that performace aalysts use to expla why a portfolo's performace

More information

DECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT

DECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT ESTYLF08, Cuecas Meras (Meres - Lagreo), 7-9 de Septembre de 2008 DECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT José M. Mergó Aa M. Gl-Lafuete Departmet of Busess Admstrato, Uversty of Barceloa

More information

Automated Event Registration System in Corporation

Automated Event Registration System in Corporation teratoal Joural of Advaces Computer Scece ad Techology JACST), Vol., No., Pages : 0-0 0) Specal ssue of CACST 0 - Held durg 09-0 May, 0 Malaysa Automated Evet Regstrato System Corporato Zafer Al-Makhadmee

More information

Report 19 Euroland Corporate Bonds

Report 19 Euroland Corporate Bonds Rep19, Computed & Prted: 17/06/2015 11:38 Report 19 Eurolad Corporate Bods From Dec 1999 to Dec 2014 31/12/1999 31 December 1999 31/12/2014 Bechmark 100% IBOXX Euro Corp All Mats. TR Defto of the frm ad

More information

10.5 Future Value and Present Value of a General Annuity Due

10.5 Future Value and Present Value of a General Annuity Due Chapter 10 Autes 371 5. Thomas leases a car worth $4,000 at.99% compouded mothly. He agrees to make 36 lease paymets of $330 each at the begg of every moth. What s the buyout prce (resdual value of the

More information

Agent-based modeling and simulation of multiproject

Agent-based modeling and simulation of multiproject Aget-based modelg ad smulato of multproject schedulg José Alberto Araúzo, Javer Pajares, Adolfo Lopez- Paredes Socal Systems Egeerg Cetre (INSISOC) Uversty of Valladold Valladold (Spa) {arauzo,pajares,adolfo}ssoc.es

More information

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0 Chapter 2 Autes ad loas A auty s a sequece of paymets wth fxed frequecy. The term auty orgally referred to aual paymets (hece the ame), but t s ow also used for paymets wth ay frequecy. Autes appear may

More information

Optimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks

Optimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks Optmal Packetzato Iterval for VoIP Applcatos Over IEEE 802.16 Networks Sheha Perera Harsha Srsea Krzysztof Pawlkowsk Departmet of Electrcal & Computer Egeerg Uversty of Caterbury New Zealad sheha@elec.caterbury.ac.z

More information

SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN

SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN Wojcech Zelńsk Departmet of Ecoometrcs ad Statstcs Warsaw Uversty of Lfe Sceces Nowoursyowska 66, -787 Warszawa e-mal: wojtekzelsk@statystykafo Zofa Hausz,

More information

AP Statistics 2006 Free-Response Questions Form B

AP Statistics 2006 Free-Response Questions Form B AP Statstcs 006 Free-Respose Questos Form B The College Board: Coectg Studets to College Success The College Board s a ot-for-proft membershp assocato whose msso s to coect studets to college success ad

More information

How To Make A Supply Chain System Work

How To Make A Supply Chain System Work Iteratoal Joural of Iformato Techology ad Kowledge Maagemet July-December 200, Volume 2, No. 2, pp. 3-35 LATERAL TRANSHIPMENT-A TECHNIQUE FOR INVENTORY CONTROL IN MULTI RETAILER SUPPLY CHAIN SYSTEM Dharamvr

More information

Impact of Interference on the GPRS Multislot Link Level Performance

Impact of Interference on the GPRS Multislot Link Level Performance Impact of Iterferece o the GPRS Multslot Lk Level Performace Javer Gozalvez ad Joh Dulop Uversty of Strathclyde - Departmet of Electroc ad Electrcal Egeerg - George St - Glasgow G-XW- Scotlad Ph.: + 8

More information

Discrete-Event Simulation of Network Systems Using Distributed Object Computing

Discrete-Event Simulation of Network Systems Using Distributed Object Computing Dscrete-Evet Smulato of Network Systems Usg Dstrbuted Object Computg Welog Hu Arzoa Ceter for Itegratve M&S Computer Scece & Egeerg Dept. Fulto School of Egeerg Arzoa State Uversty, Tempe, Arzoa, 85281-8809

More information

A particle Swarm Optimization-based Framework for Agile Software Effort Estimation

A particle Swarm Optimization-based Framework for Agile Software Effort Estimation The Iteratoal Joural Of Egeerg Ad Scece (IJES) olume 3 Issue 6 Pages 30-36 204 ISSN (e): 239 83 ISSN (p): 239 805 A partcle Swarm Optmzato-based Framework for Agle Software Effort Estmato Maga I, & 2 Blamah

More information

Integrating Production Scheduling and Maintenance: Practical Implications

Integrating Production Scheduling and Maintenance: Practical Implications Proceedgs of the 2012 Iteratoal Coferece o Idustral Egeerg ad Operatos Maagemet Istabul, Turkey, uly 3 6, 2012 Itegratg Producto Schedulg ad Mateace: Practcal Implcatos Lath A. Hadd ad Umar M. Al-Turk

More information

ECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil

ECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil ECONOMIC CHOICE OF OPTIMUM FEEDER CABE CONSIDERING RISK ANAYSIS I Camargo, F Fgueredo, M De Olvera Uversty of Brasla (UB) ad The Brazla Regulatory Agecy (ANEE), Brazl The choce of the approprate cable

More information

An IG-RS-SVM classifier for analyzing reviews of E-commerce product

An IG-RS-SVM classifier for analyzing reviews of E-commerce product Iteratoal Coferece o Iformato Techology ad Maagemet Iovato (ICITMI 205) A IG-RS-SVM classfer for aalyzg revews of E-commerce product Jaju Ye a, Hua Re b ad Hagxa Zhou c * College of Iformato Egeerg, Cha

More information

Credibility Premium Calculation in Motor Third-Party Liability Insurance

Credibility Premium Calculation in Motor Third-Party Liability Insurance Advaces Mathematcal ad Computatoal Methods Credblty remum Calculato Motor Thrd-arty Lablty Isurace BOHA LIA, JAA KUBAOVÁ epartmet of Mathematcs ad Quattatve Methods Uversty of ardubce Studetská 95, 53

More information

n. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom.

n. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom. UMEÅ UNIVERSITET Matematsk-statstska sttutoe Multvarat dataaalys för tekologer MSTB0 PA TENTAMEN 004-0-9 LÖSNINGSFÖRSLAG TILL TENTAMEN I MATEMATISK STATISTIK Multvarat dataaalys för tekologer B, 5 poäg.

More information

An Evaluation of Naïve Bayesian Anti-Spam Filtering Techniques

An Evaluation of Naïve Bayesian Anti-Spam Filtering Techniques Proceedgs of the 2007 IEEE Workshop o Iformato Assurace Uted tates Mltary Academy, West Pot, Y 20-22 Jue 2007 A Evaluato of aïve Bayesa At-pam Flterg Techques Vkas P. Deshpade, Robert F. Erbacher, ad Chrs

More information

DYNAMIC FACTOR ANALYSIS OF FINANCIAL VIABILITY OF LATVIAN SERVICE SECTOR COMPANIES

DYNAMIC FACTOR ANALYSIS OF FINANCIAL VIABILITY OF LATVIAN SERVICE SECTOR COMPANIES DYNAMIC FACTOR ANALYSIS OF FINANCIAL VIABILITY OF LATVIAN SERVICE SECTOR COMPANIES Nadezhda Koleda 1, Natalja Lace 2 1 Rga Techcal Uversty, Latva, adezhda.koleda@ge.com 2 Rga Techcal Uversty, Latva, atalja.lace@rtu.lv

More information

The Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev

The Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev The Gompertz-Makeham dstrbuto by Fredrk Norström Master s thess Mathematcal Statstcs, Umeå Uversty, 997 Supervsor: Yur Belyaev Abstract Ths work s about the Gompertz-Makeham dstrbuto. The dstrbuto has

More information

Managing Interdependent Information Security Risks: Cyberinsurance, Managed Security Services, and Risk Pooling Arrangements

Managing Interdependent Information Security Risks: Cyberinsurance, Managed Security Services, and Risk Pooling Arrangements Maagg Iterdepedet Iformato Securty Rsks: Cybersurace, Maaged Securty Servces, ad Rsk Poolg Arragemets Xa Zhao Assstat Professor Departmet of Iformato Systems ad Supply Cha Maagemet Brya School of Busess

More information

Simple Linear Regression

Simple Linear Regression Smple Lear Regresso Regresso equato a equato that descrbes the average relatoshp betwee a respose (depedet) ad a eplaator (depedet) varable. 6 8 Slope-tercept equato for a le m b (,6) slope. (,) 6 6 8

More information

Classic Problems at a Glance using the TVM Solver

Classic Problems at a Glance using the TVM Solver C H A P T E R 2 Classc Problems at a Glace usg the TVM Solver The table below llustrates the most commo types of classc face problems. The formulas are gve for each calculato. A bref troducto to usg the

More information

Capacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy

Capacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy SCHOOL OF OPERATIONS RESEARCH AND INDUSTRIAL ENGINEERING COLLEGE OF ENGINEERING CORNELL UNIVERSITY ITHACA, NY 4853-380 TECHNICAL REPORT Jue 200 Capactated Producto Plag ad Ivetory Cotrol whe Demad s Upredctable

More information

CHAPTER 2. Time Value of Money 6-1

CHAPTER 2. Time Value of Money 6-1 CHAPTER 2 Tme Value of Moey 6- Tme Value of Moey (TVM) Tme Les Future value & Preset value Rates of retur Autes & Perpetutes Ueve cash Flow Streams Amortzato 6-2 Tme les 0 2 3 % CF 0 CF CF 2 CF 3 Show

More information

TESTING AND SECURITY IN DISTRIBUTED ECONOMETRIC APPLICATIONS REENGINEERING VIA SOFTWARE EVOLUTION

TESTING AND SECURITY IN DISTRIBUTED ECONOMETRIC APPLICATIONS REENGINEERING VIA SOFTWARE EVOLUTION TESTING AND SECURITY IN DISTRIBUTED ECONOMETRIC APPLICATIONS REENGINEERING VIA SOFTWARE EVOLUTION Cosm TOMOZEI 1 Assstat-Lecturer, PhD C. Vasle Alecsadr Uversty of Bacău, Romaa Departmet of Mathematcs

More information

Common p-belief: The General Case

Common p-belief: The General Case GAMES AND ECONOMIC BEHAVIOR 8, 738 997 ARTICLE NO. GA97053 Commo p-belef: The Geeral Case Atsush Kaj* ad Stephe Morrs Departmet of Ecoomcs, Uersty of Pesylaa Receved February, 995 We develop belef operators

More information

Research on the Evaluation of Information Security Management under Intuitionisitc Fuzzy Environment

Research on the Evaluation of Information Security Management under Intuitionisitc Fuzzy Environment Iteratoal Joural of Securty ad Its Applcatos, pp. 43-54 http://dx.do.org/10.14257/sa.2015.9.5.04 Research o the Evaluato of Iformato Securty Maagemet uder Itutostc Fuzzy Evromet LI Feg-Qua College of techology,

More information

Reinsurance and the distribution of term insurance claims

Reinsurance and the distribution of term insurance claims Resurace ad the dstrbuto of term surace clams By Rchard Bruyel FIAA, FNZSA Preseted to the NZ Socety of Actuares Coferece Queestow - November 006 1 1 Itroducto Ths paper vestgates the effect of resurace

More information

A Novel Resource Pricing Mechanism based on Multi-Player Gaming Model in Cloud Environments

A Novel Resource Pricing Mechanism based on Multi-Player Gaming Model in Cloud Environments 1574 JOURNAL OF SOFTWARE, VOL. 9, NO. 6, JUNE 2014 A Novel Resource Prcg Mechasm based o Mult-Player Gamg Model Cloud Evromets Tea Zhag, Peg Xao School of Computer ad Commucato, Hua Isttute of Egeerg,

More information

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ  1 STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ

More information

Real-Time Scheduling Models: an Experimental Approach

Real-Time Scheduling Models: an Experimental Approach Real-Tme Schedulg Models: a Expermetal Approach (Techcal Report - Nov. 2000) Atóo J. Pessoa de Magalhães a.p.magalhaes@fe.up.pt Fax: 22 207 4247 SAI DEMEGI Faculdade de Egehara da Uversdade do Porto -

More information

Fault Tree Analysis of Software Reliability Allocation

Fault Tree Analysis of Software Reliability Allocation Fault Tree Aalyss of Software Relablty Allocato Jawe XIANG, Kokch FUTATSUGI School of Iformato Scece, Japa Advaced Isttute of Scece ad Techology - Asahda, Tatsuokuch, Ishkawa, 92-292 Japa ad Yaxag HE Computer

More information

The Time Value of Money

The Time Value of Money The Tme Value of Moey 1 Iversemet Optos Year: 1624 Property Traded: Mahatta Islad Prce : $24.00, FV of $24 @ 6%: FV = $24 (1+0.06) 388 = $158.08 bllo Opto 1 0 1 2 3 4 5 t ($519.37) 0 0 0 0 $1,000 Opto

More information

Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center

Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center 200 IEEE 3rd Iteratoal Coferece o Cloud Computg Dyamc Provsog Modelg for Vrtualzed Mult-ter Applcatos Cloud Data Ceter Jg B 3 Zhlag Zhu 2 Ruxog Ta 3 Qgbo Wag 3 School of Iformato Scece ad Egeerg College

More information

An Automated Selecting Subcontractor Model In E-Commerce by Pao-Hung Lin

An Automated Selecting Subcontractor Model In E-Commerce by Pao-Hung Lin A Automated Selectg Subcotractor Model I E-Commerce by Pao-Hug L Asst. Prof., Dept. of Cvl Egeerg, Feg-Cha Uversty, Tachug, Tawa E-mal: paol@fcu.edu.tw Abstract: From the observato of orgazato chages dgtal

More information

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. Proceedgs of the 21 Wter Smulato Coferece B. Johasso, S. Ja, J. Motoya-Torres, J. Huga, ad E. Yücesa, eds. EMPIRICAL METHODS OR TWO-ECHELON INVENTORY MANAGEMENT WITH SERVICE LEVEL CONSTRAINTS BASED ON

More information

Load Balancing Algorithm based Virtual Machine Dynamic Migration Scheme for Datacenter Application with Optical Networks

Load Balancing Algorithm based Virtual Machine Dynamic Migration Scheme for Datacenter Application with Optical Networks 0 7th Iteratoal ICST Coferece o Commucatos ad Networkg Cha (CHINACOM) Load Balacg Algorthm based Vrtual Mache Dyamc Mgrato Scheme for Dataceter Applcato wth Optcal Networks Xyu Zhag, Yogl Zhao, X Su, Ruyg

More information

FINANCIAL MATHEMATICS 12 MARCH 2014

FINANCIAL MATHEMATICS 12 MARCH 2014 FINNCIL MTHEMTICS 12 MRCH 2014 I ths lesso we: Lesso Descrpto Make use of logarthms to calculate the value of, the tme perod, the equato P1 or P1. Solve problems volvg preset value ad future value autes.

More information

Software Reliability Index Reasonable Allocation Based on UML

Software Reliability Index Reasonable Allocation Based on UML Sotware Relablty Idex Reasoable Allocato Based o UML esheg Hu, M.Zhao, Jaeg Yag, Guorog Ja Sotware Relablty Idex Reasoable Allocato Based o UML 1 esheg Hu, 2 M.Zhao, 3 Jaeg Yag, 4 Guorog Ja 1, Frst Author

More information

Report 06 Global High Yield Bonds

Report 06 Global High Yield Bonds Rep06, Computed & Prted: 17/06/2015 11:25 Report 06 Global Hgh Yeld Bods From Dec 2000 to Dec 2014 31/12/2000 31 December 1999 31/12/2014 New Bechmark (01/01/13) 80% Barclays Euro HY Ex Facals 3% Capped

More information

The Digital Signature Scheme MQQ-SIG

The Digital Signature Scheme MQQ-SIG The Dgtal Sgature Scheme MQQ-SIG Itellectual Property Statemet ad Techcal Descrpto Frst publshed: 10 October 2010, Last update: 20 December 2010 Dalo Glgorosk 1 ad Rue Stesmo Ødegård 2 ad Rue Erled Jese

More information

Chapter Eight. f : R R

Chapter Eight. f : R R Chapter Eght f : R R 8. Itroducto We shall ow tur our atteto to the very mportat specal case of fuctos that are real, or scalar, valued. These are sometmes called scalar felds. I the very, but mportat,

More information

Speeding up k-means Clustering by Bootstrap Averaging

Speeding up k-means Clustering by Bootstrap Averaging Speedg up -meas Clusterg by Bootstrap Averagg Ia Davdso ad Ashw Satyaarayaa Computer Scece Dept, SUNY Albay, NY, USA,. {davdso, ashw}@cs.albay.edu Abstract K-meas clusterg s oe of the most popular clusterg

More information

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Colloquum Bometrcum 4 ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Zofa Hausz, Joaa Tarasńska Departmet of Appled Mathematcs ad Computer Scece Uversty of Lfe Sceces Lubl Akademcka 3, -95 Lubl

More information

Using Phase Swapping to Solve Load Phase Balancing by ADSCHNN in LV Distribution Network

Using Phase Swapping to Solve Load Phase Balancing by ADSCHNN in LV Distribution Network Iteratoal Joural of Cotrol ad Automato Vol.7, No.7 (204), pp.-4 http://dx.do.org/0.4257/jca.204.7.7.0 Usg Phase Swappg to Solve Load Phase Balacg by ADSCHNN LV Dstrbuto Network Chu-guo Fe ad Ru Wag College

More information

Mobile Agents in Telecommunications Networks A Simulative Approach to Load Balancing

Mobile Agents in Telecommunications Networks A Simulative Approach to Load Balancing Moble Agets Telecommucatos Networks A Smulatve Approach to Load Balacg Steffe Lpperts Departmet of Computer Scece (4), Uversty of Techology Aache Aache, 52056, Germay Ad Brgt Kreller Corporate Techology

More information

RQM: A new rate-based active queue management algorithm

RQM: A new rate-based active queue management algorithm : A ew rate-based actve queue maagemet algorthm Jeff Edmods, Suprakash Datta, Patrck Dymod, Kashf Al Computer Scece ad Egeerg Departmet, York Uversty, Toroto, Caada Abstract I ths paper, we propose a ew

More information

One way to organize workers that lies between traditional assembly lines, where workers are specialists,

One way to organize workers that lies between traditional assembly lines, where workers are specialists, MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol. 7, No. 2, Sprg 2005, pp. 121 129 ss 1523-4614 ess 1526-5498 05 0702 0121 forms do 10.1287/msom.1040.0059 2005 INFORMS Usg Bucket Brgades to Mgrate from

More information

How To Value An Annuity

How To Value An Annuity Future Value of a Auty After payg all your blls, you have $200 left each payday (at the ed of each moth) that you wll put to savgs order to save up a dow paymet for a house. If you vest ths moey at 5%

More information

Analysis of real underkeel clearance for Świnoujście Szczecin waterway in years 2009 2011

Analysis of real underkeel clearance for Świnoujście Szczecin waterway in years 2009 2011 Scetfc Jourals Martme Uversty of Szczec Zeszyty Naukowe Akadema Morska w Szczece 2012, 32(104) z. 2 pp. 162 166 2012, 32(104) z. 2 s. 162 166 Aalyss of real uderkeel clearace for Śwoujśce Szczec waterway

More information

The simple linear Regression Model

The simple linear Regression Model The smple lear Regresso Model Correlato coeffcet s o-parametrc ad just dcates that two varables are assocated wth oe aother, but t does ot gve a deas of the kd of relatoshp. Regresso models help vestgatg

More information

Network dimensioning for elastic traffic based on flow-level QoS

Network dimensioning for elastic traffic based on flow-level QoS Network dmesog for elastc traffc based o flow-level QoS 1(10) Network dmesog for elastc traffc based o flow-level QoS Pas Lassla ad Jorma Vrtamo Networkg Laboratory Helsk Uversty of Techology Itroducto

More information

Australian Climate Change Adaptation Network for Settlements and Infrastructure. Discussion Paper February 2010

Australian Climate Change Adaptation Network for Settlements and Infrastructure. Discussion Paper February 2010 Australa Clmate Chage Adaptato Network for Settlemets ad Ifrastructure Dscusso Paper February 2010 The corporato of ucertaty assocated wth clmate chage to frastructure vestmet apprasal Davd G. Carmchael

More information

Security Analysis of RAPP: An RFID Authentication Protocol based on Permutation

Security Analysis of RAPP: An RFID Authentication Protocol based on Permutation Securty Aalyss of RAPP: A RFID Authetcato Protocol based o Permutato Wag Shao-hu,,, Ha Zhje,, Lu Sujua,, Che Da-we, {College of Computer, Najg Uversty of Posts ad Telecommucatos, Najg 004, Cha Jagsu Hgh

More information

On Error Detection with Block Codes

On Error Detection with Block Codes BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 9, No 3 Sofa 2009 O Error Detecto wth Block Codes Rostza Doduekova Chalmers Uversty of Techology ad the Uversty of Gotheburg,

More information

RUSSIAN ROULETTE AND PARTICLE SPLITTING

RUSSIAN ROULETTE AND PARTICLE SPLITTING RUSSAN ROULETTE AND PARTCLE SPLTTNG M. Ragheb 3/7/203 NTRODUCTON To stuatos are ecoutered partcle trasport smulatos:. a multplyg medum, a partcle such as a eutro a cosmc ray partcle or a photo may geerate

More information

Algorithm Optimization of Resources Scheduling Based on Cloud Computing

Algorithm Optimization of Resources Scheduling Based on Cloud Computing JOURNAL OF MULTIMEDIA, VOL. 9, NO. 7, JULY 014 977 Algorm Optmzato of Resources Schedulg Based o Cloud Computg Zhogl Lu, Hagu Zhou, Sha Fu, ad Chaoqu Lu Departmet of Iformato Maagemet, Hua Uversty of Face

More information