Outsourcing Service Processes to a Common Service Provider under Price and Time Competition

Size: px
Start display at page:

Download "Outsourcing Service Processes to a Common Service Provider under Price and Time Competition"

Transcription

1 Submtted to manuscrpt (Please, provde the mansucrpt number!) Outsourcng Servce Processes to a Common Servce Provder under Prce and Tme Competton Gad Allon Kellogg School of Management, 2001 Sherdan Road Evanston, IL , g-allon@kellogg.northwestern.edu Aw Federgruen Columba Busness School, 3022 Broadway, New York, NY 10027, af7@columba.edu In many ndustres, frms consder the opton of outsourcng an mportant servce process assocated wth the goods or servces they brng to the market. Often, competng frms outsource ths servce process to one or more common servce supplers. When they outsource to a common servce provder, ths gves rse to a servce supply chan. We develop analytcal models to characterze the benefts and dsadvantages of outsourcng n servce ndustres n whch the retalers compete wth each other n terms of the prce they charge and/or the watng tme expectatons and standards whch they adopt and sometmes advertse. We show that the benefts of outsourcng are affected by the suppler s ablty to explot the benefts of servce poolng as well as dfferences n the cost rates themselves. 1. Introducton In many ndustres, frms consder the opton of outsourcng an mportant servce process assocated wth the goods or servces they brng to the market. Often, competng frms outsource ths servce process to one of more common servce supplers. For example, nternet retalers such as Amazon, Barnes and Noble and other book dstrbuters use common carrers to delver the merchandse to ther customers. After-sales support and mantenance servces of applances and electronc equpment are often outsourced by competng frms to a common mantenance or repar servce provder. The same apples to (part of) the techncal support functon of software vendors. For make-to-order consumer goods, the potentally outsourced servce process may refer to the fnal producton or assembly stage of the product tself. Japanese automoble manufacturers, for example, have adopted make-to-order assembly systems to cut nventory costs for themselves and ther dealers, and to reduce the need for rebates for slow sellng vehcles. The outsourced servce process s often of crtcal strategc mportance to the competng frms, as the above examples ndcate: nternet book dstrbuters dfferentate themselves to a large extent n terms of the 1

2 2 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) delvery tme guarantees or expectatons they are specfyng to ther customers ( along wth prce advantages.) In many ndustres, the product tself becomes ncreasngly commodtzed and frms dfferentate themselves n terms of the qualty of the after-sales servce they provde, even though mantenance, repar and techncal support functons may fal to be part of the frms core competency and, as a consequence, are often outsourced. A recent survey by AMR, (see Bjesse et al. (2002)) estmates that after-sales servces represent, on average, 24% of the revenues and no less than 45% of the profts earned by consumer goods merchandsers. Denns and Kambl (2003) and Wse and Baumgartner (1999) report smlar results for a large verty of ndustres. (see also Cohen et al. (2006).) The attractveness of the after-sales servce process s, once agan, often determned by the watng tme customers experence before ther problem s solved, along wth the prce they pay for ther servce contract. Fnally, n the automoble ndustry, customer watng tmes become an ncreasngly mportant component of the frms compettve strateges, along wth the purchasng prce of the automoble tself, n partcular now that the qualty gap between Japanese manufacturers and ther Amercan and European compettors has shrunk sgnfcantly. For example, Toyota s goal s to reduce the average watng tme between dealer order and delvery to fourteen days; see e.g. Fay (2004). In ths paper, we develop analytcal models to characterze the benefts and dsadvantages of outsourcng n servce ndustres n whch the retalers compete wth each other n terms of the prce they charge and/or the watng tme expectatons and standards whch they adopt and sometme advertse. When some or all of the frms outsource the servce process to a common servce provder, ths gves rse to a servce supply chan. The competng retalers may represent ndependent companes or dvsons of the same corporaton. Stayng wth the example of the automoble ndustry, we have observed that most domestc, European and Japanese manufacturers have chosen to brng the market nto the frm by creatng separate and competng dvsons wth broad manageral autonomy. Perhaps surprsngly, dfferent dvsons often sell smlar cars wth dentcal chasss and engnes, often produced-to-order n a common plant. An example s Toyota whch sells, the Senna and Lexus Rx-30, wth dentcal chasss and engnes, va two ndependent dvsons, whch outsource the assembly process to common plants n West Vrgna and Canada 0. Several papers n the 0 Baye et al. (1996) document smlar practces n the md nnetes among the bg three domestc manufacturers: For example, General Motors produced the LeSabre (Buck Motor Dvson) and the Olds 88 (Oldsmoble Dvson) whch, whle dfferng n

3 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 3 economc lterature provde theoretcal frameworks to characterze the benefts of dvsonalzaton, see e.g. Baye et al. (1996), Baker et al. (2001) and the references theren. In the general strategy lterature, several reasons are mentoned as to why frms may beneft from outsourcng: frst, the servce provder to whom the servce process s outsourced, may enjoy lower operatng cost rates, as the servce process represents hs core competency rather than that of the servce retalers. A second explanaton relates to possble economes of scale and economes of scope. The former consst of reduced per unt costs as the customer volume ncreases whle the latter ponts at the benefts of poolng demand streams nto a common servce faclty. Benson and Ieoronmo (1996) and Lacty and Hrschhem (1993), for example, dentfy cost effcences as the prncple factor drvng outsourcng decsons for mantenance functons and nformaton systems, respectvely. Gupta and Zhender (1994) emphasze economes of scale n the cost structure as a prme reason why outsourcng s often benefcal. To assess the benefts of outsourcng strateges, we need to address the followng questons: (I) When are frms better off f all of them choose to outsource rather than perform the servce n-house? Gven a unque equlbrum under n-house servce, the frms profts are unambguously specfed. Under outsourcng, these depend on () what fracton e 1 of frst best aggregate performance the servce chan acheves, and () what (mnmum) partcpaton profts P the outsde servce provder demands. For the sake of brevty and smplcty only, we present all of our results where e = 1 and P = 0, thus portrayng the outsourcng opton n the best possble lght. (In 7, we show that frst best performance can ndeed be acheved by a decentralzed servce chan, under specfc prcng schemes, the structure of whch depends on the type of competton the frms engage n.) (II) when wll a servce chan n whch all frms choose to outsource to a common provder be stable n the sense that no frm has an ncentve to unlaterally abandon the chan and provde n-house servce nstead? More generally, assumng dentcal retalers, how large a servce chan of outsourcng frms s stable? How do the answers to these questons depend on the ntensty of the competton, the number of frms n the ndustry and the sales volume of the frms? stylng, are bult on the same chasss and, comparable equpped, sell for vrtually dentcal prces. Smlarly, the Ford Motor Co. produced the Sable (Lncoln- Mercurey Dvson) and the Taurus (Ford Dvson), whch are effectvely the same car wth dfferent name plates, as are the Chrysler Corporaton s Plymouth Voyager and Dodge Caravan. Indeed, n just about every prce range, all the major domestc manufacturers have several dvsons producng competng products.

4 4 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) (III) In what drecton do equlbrum prces, watng tme standards and demand volumes change when all frms move from n-house servce to outsourcng? (IV) How do the answers to the questons rased n (I) -(III) depend on whether the outsde suppler pools the servce processes completely or n part, and whether t s able to operate at lower cost rates than the servce retalers themselves? Each of these above questons s analyzed under each of three types of competton: () Prce competton, n whch all watng tme standards are exogenously gven and the frms compete on the bass of ther prces only, () Watng tme competton: here all prces are exogenously gven and the competton s n terms of watng tme standards, and () Smultaneous competton: all prces and watng tme standards are selected smultaneously by the varous servce retalers. We represent a frm s demand rate as a general functon of all prces and all watng tme standards n the ndustry. We focus prmarly on two mportant classes of demand models: The frst class uses a separable specfcaton whch, n addton, s lnear n the prce vector. The second class s that of the attracton models. Here, each frm s characterzed by an attracton value gven by a general functon of ts prce and watng tme standard. A frm s market share, s gven by the rato of ts attracton value and the attracton values of all frms n the ndustry, that of the no-purchase opton ncluded. These broad classes of demand models allow us to represent general tradeoffs for potental customers among the prces, watng tme standards and other servce attrbutes. Prce and watng tme are treated as truly ndependent attrbutes, n that, n general, a change n a frm s watng tme standard can not be compensated by a prce change that leaves all market effects unchanged. 1 The system of demand functons determnes the rates at whch customers arrve to the dfferent servce retalers. We assume all servce retalers face Posson demand processes whle servce tmes are exponentally dstrbuted, wth a rate to be determned by the servce provder. Under outsourcng, the common servce provder may employ general dynamc prorty schemes to prortze among customers referred by 1 We refer to Allon and Federgruen (2007) for a dscusson of why t s mportant to treat prces and watng tme standards as ndependent strategc nstruments, n contrast to the tradtonal approach n the lterature on servce competton, n whch the prce and watng tme are aggregated nto a sngle, so called, full prce measure.

5 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 5 the dfferent frms. Whoever provdes the servce ncurs two types of costs: Frst, a cost per unt of tme proportonal to the adopted capacty level and a second, transacton/handlng cost per customer served. In 3-6, we analyze the specal case where (a) all servce retalers share dentcal characterstcs, and (b) the demand functons are affne n both the prce and servce level. Ths specal case permts analytcal characterzatons of the benefts of outsourcng. The followng represent some of our man nsghts: startng wth the case where the retal frms engage n prce competton, under a gven watng tme standard, we show that they may earn lower profts under outsourcng, even f the resultng servce chan operates at maxmum effcency. The potental for such proft reductons arses, even when the servce chan under outsourcng operates at maxmum effcency (e = 1) and even f economes of scope are exploted under outsourcng, by poolng of the servce processes, and as long as the cost rates of the external suppler are not excessvely below those faced under n-house servce. More specfcally, assumng the suppler operates under dentcal cost rates as the retalers, they beneft from outsourcng f and only f ther sales volume, when prcng at cost, falls below a gven threshold. Ths threshold s a decreasng functon of the watng tme standard,.e., the more ambtous the frms are regardng ther servce level, the more lkely t s that the frms beneft from outsourcng. Only n the extreme case, where the retalers reap all the profts of the servce chan - and the suppler merely breaks even (P = 0) - are the retalers guaranteed to beneft from outsourcng. Moreover, even under ths best case scenaro for the outsourcng opton, the servce chan may fal to be mmune to unlateral defectons by one or more retalers. Such defectons wll not occur when there are up to 3 frms n the ndustry. When the number of frms N 4, defectons can be avoded f a certan ndex whch measures the ntensty of the prce competton and vares between 0 and 1, s above a threshold, gven by a functon of N alone. Ths threshold s ncreasng n N and converges to the maxmum value of one as N goes to nfnty. If the compettve ntensty s below the threshold value, defecton can be avoded f and only f the frms demand volume, when prcng at cost, s below a crtcal value, whch ncreases wth the degree to whch benefts of servce poolng are exploted under outsourcng. In other words, n an ndustry wth a large number of frms, there s an ncentve for a sngle frm to leave the servce chan, even under ths most favorable servce chan desgn, unless the prce competton s very ntense or the frm s sales volume value suffcently small. We

6 6 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) also show that there s always a chan sze m o, such that a servce chan wth m o frms s stable n the sense that no frm outsde the chan has an ncentve to jon the chan and no frm n the chan has an ncentve to brng servce n-house. When the suppler s margnal cost rate per customer s lower than under n-house servce, the ncreased benefts of outsourcng manfest themselves, for example, n that the break-even sales volume (between outsourcng and n-house servce) shfts upwards as a roughly affne functon of the suppler s cost rate advantage. Smlar conclusons preval when the frms compete n terms of ther watng tme standards and under smultaneous prce and watng tme competton. In the absence of servce poolng or the suppler enjoyng lower cost rates, whether the retalers beneft from outsourcng depends on whch fee combnaton s used, but sometmes the retalers are worse off under any of these coordnatng schemes (whch avod perodc fxed transfer payments). For example, under watng tme competton, f the external suppler servces the dfferent retalers wth dedcated facltes, the servce chan s, even n the above best case scenaro for outsourcng, always stable when N 3, never stable when N 5, and under N = 4, t s stable f and only of a smlar ndex of the ntensty of the watng tme competton s above In contrast, f the servce chan fully explots the benefts of servce poolng, the chan s always stable. More generally, under partal explotaton of the benefts of servce poolng, there exsts, as n the case of prce competton, a chan sze m o, such that a chan wth m o frms s stable. We gve a general condton under whch ths chan sze s unque, and show that t only depends on the number of frms n the ndustry and the compettve ntensty. In 7, we dentfy for the general model, payment schemes for the retalers such that, under outsourcng, the servce supply chan can operate at a frst best level (e = 1), as assumed n many of the companes n 3-6. Under prce competton, t suffces to charge each retaler a constant fee per customer, but under watng tme competton and smultaneous competton, t s necessary to add a second perodc fee whch s nversely proportonal to the watng tme standard requested. (We also show how the exact fee levels can be determned.) Alternatvely, the second perodc fee may be set to be proportonal to the capacty level whch the suppler would need to adopt f he were to serve the retalers customers n a dedcated M/M/1 faclty. In the case of smultaneous competton, a unque volume based fee and capacty based fee are

7 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 7 requred to acheve frst best profts but under watng tme competton, a contnuum of such fee pars may coordnate the servce chan. The above fee structures may be complemented wth a perodc fxed fee to be pad by the retalers to the suppler (or vce versa). Outsourcng contracts often nclude volume based and capacty based fees, see K Djah.com and Jackson (1999), and Hasja et al. (2006) and Chander (2007). In 8 we use a numercal study to demonstrate how the above fndngs carry over n asymmetrc ndustres and when the demand functons are gven by an attracton model. 9 completes the paper wth a bref outlne of how our analyss can be extended to systems wth more general servce processes, represented by general queueng systems. The lterature on outsourcng n servce ndustres s recent. Aksn et al. (2006) and Gans and Zhou (2003) consder a sngle server retaler (e.g. call center) who can outsource part of ts busness to an outsde suppler. In Aksn et al. (2006), both frms ncur costs proportonal to ther selected capacty level, but the outsde suppler enjoys a lower capacty cost rate. Demand n any gven tme nterval can be satsfed f t falls below the total avalable capacty, wth any excess beng lost. The authors state that for tractablty reasons they do not model the servce faclty as a queue. Aksn et al. (2006) consder the followng two arrangements between the outsde suppler and the servce retaler whch are closely related to the above volume- and capacty- based fees: n the frst, the retaler buys a certan capacty level from the suppler, for whch t s charged a gven fee per unt of capacty. All demand s frst drected to the suppler wth any excess overflowng to the retaler s own faclty. In the second arrangement, demand s frst drected to the retaler s own faclty whle any excess s handled by the outsde retaler, at a gven fee per customer referred. Under ths arrangement the servce retaler and outsde suppler choose ther capacty levels noncooperatvely and the authors establsh the exstence of a unque Nash equlbrum. Gans and Zhou (2003), model the servce facltes as queueng processes, but assume that both the capacty level of the retaler and that of the outsde suppler are determned by the former. (Two customer classes are consdered; outsourcng s an opton for one of them accordng to a queue-sze dependent strategy.) To our knowledge, Cachon and Harker (2002) s the only paper whch addresses an ndustry of two competng servce retalers, modeled as M/M/1 systems. In the outsourcng part of the paper, demand rates are lnear functons of the frms full prce (= prce + multple of the expected sojourn tme). Moreover, the

8 8 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) demand of a frm s equally senstve to a change n ts own prce as to that of ts compettor. Both frms may outsource to a common suppler, who faces the same cost structure as the retalers themselves, and who serves the customers of each retaler n a dedcated faclty, for a gven fee per customer. The authors show that both frms beneft when they both outsource, compared to when they servce the customers nhouse, rrespectve of the fee charged by the suppler. But, f ths fee s set at a suffcently hgh level, one of the retalers may beneft by keepng ts servce process n-house, assumng the compettor contnues to outsource. As mentoned, these results contrast wth ours, where frms do not necessarly beneft from outsourcng, even when the servce chan operates at a frst best level (e = 1), unless the suppler s proft s reduced to zero (P = 0). Hassn and Havv (2003) and Allon and Federgruen (2007) offer surveys of competton models n servce ndustres. See also the nascent lterature on competton models n whch watng tme senstve customers are segmented nto multple classes. e.g. Loch (1991), Lederer and L (1997), Armony and Havv (2001), Afeche (2004), and Allon and Federgruen (2004). 2. Model and Notaton We consder a servce ndustry wth N competng servce retalers each actng as an M/M/1 faclty when provdng n-house servce. Each frm dfferentates tself n the market by selectng a prce p, as well as a watng tme standard w. The watng tme standard s defned as the expected steady state watng tme experenced by the customers,.e. w = E(W ). ( Alternatvely, the watng tme standard may be specfed as a gven fractle of the watng tme dstrbuton. All of our results contnue to apply, snce the structural form of all proft functons remans unchanged.) When frm serves ts customers n-house, t faces two types of cost: frst, t ncurs a cost c per customer served, and, second, t ncurs a capacty cost, at a rate γ per unt of capacty nstalled. Smlarly, when the servce processes are outsourced to an outsde suppler, ths suppler ncurs the same two types of costs, at rates c 0 and γ 0 respectvely. The capacty of a servce faclty s defned as the faclty s servce rate. Let µ,µ 0 denote the capacty levels chosen by frm and the outsde suppler respectvely. Under n-house servce, the followng smple relatonshp exsts between µ, w and λ, the frm s demand rate. Assumng λ > 0, we have µ = λ + 1 w (1)

9 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 9 (When λ = 0,µ = 0 as well). The frst term n ths expresson s the base capacty level, ensurng stablty of the system, whle the second term s the servce based capacty requred to guarantee a gven watng tme standard. If an outsde suppler servces the customers of the dfferent frms n separate (dedcated) facltes, the requred capacty s, therefore gven by: µ B 0 = ) N =1 (λ + 1w. Allon and Federgruen (2004) have shown that, under pooled servce, the mnmum requred capacty level, consderng all non-antcpatng dynamc prorty schemes, s gven by: µ P 0 = max S {1,...,N} { λ + S S λ S λ w } = max S {1,...,N} λ + S 1 λ w S j S λ j (2) (Note, under non-dentcal watng tmes, t s no longer feasble to serve all customers on a FIFO bass) Proposton 1(a) bd show that µ P 0 µb 0, reflectng economes of scope. (More generally, the poolng of any two groups results n cost savngs.) Ths observaton, n tself, bodes well for the ncreased benefts of outsourcng under pooled servce versus servce wth dedcated facltes. The presence of economes of scope do not mply that the cost structure (2) exhbts economes of scale as well: as demonstrated n Allon and Federgruen (2004), both margnal and average costs per customer may ncrease f the demand volume of a sngle frm s ncreased. The prce p s chosen from an nterval [p mn,p max ], = 1,...,N. Clearly, frm selects a prce p whch results n a non-negatve gross proft margn p c γ. (By (1), c + γ s the margnal cost per unt of demand.) Thus, wthout loss of generalty, we select p mn to be suffcently large as to have no mpact on the equlbrum behavor. = c +γ, = 1,...,N. As to p max, t s chosen The demand rate λ may depend on all of the ndustry s prces and watng tme standards, accordng to a general set of twce dfferentable functons:λ = λ (p,w), = 1,...,N, wth λ p 0, λ w 0 and λ varyng concavely wth w,.e. 2 λ w 2 0. In our base models, we focus on the followng class of demand functons whch are lnear n the prces: (In 8, when addressng the general model, we do consder demand functons gven by attracton models.)

10 10 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) [ λ = a (w ) α j (w j ) b p + ] + β j p j, = 1,...,N (3) =j =j where x + = max(x,0). a s a decreasng concave functon, reflectng the fact that reductons of a frm s watng tme standard result n ncreases of ts demand volume; however, these ncreases become progressvely smaller as the watng tme standard contnues to be cut. The functons α j are general decreasng functons, snce a reducton of a compettor s watng tme standard results n a decrease of the frm s demand volume. The prce coeffcents b > 0, β j > 0, j satsfy the well known domnant dagonal condtons (D) b > j β j, (D ) b > j β j, = 1,...,N These condtons are generally satsfed; they merely stpulate that a unform prce ncrease by all N frms cannot result n an ncrease n any frm s demand volume, and that a prce ncrease by a gven frm cannot result n an ncrease of the ndustry s aggregate demand. 2 Let b = b β j j > 0 denote the total prce senstvty of frm s demand,.e., the (absolute value of the) margnal change n frm s demand volume due a to unform prce ncrease by all frms. In contrast, (3), n addton to enjoyng analytcal smplfcatons, specfes a frm s demand to be zero under such extreme choces. Allon and Federgruen (2007) show that under (3) the frms equlbrum choces nduce a postve market share for each. To guarantee that ths s the case, t suffces n the Prce Competton model to assume, λ (c +γ,w) > 0, = 1,...,N, w [0,w max ] N, (4).e., any frm can acheve a postve market share at least when wllng to operate wth zero varable proft margn,.e. when p = p mn = c + γ. (4) guarantees that under ths prce, λ > 0, regardless of the compettors choces. 3 However, other prce-servce level combnatons may result n zero demand. In the 2 As s well known from the lterature on olgopoly models wth product dfferentaton, systems of demand equatons need not, but often can be obtaned from one of several underlyng consumer utlty models, n partcular the representatve consumer model, the random utlty model and the address model. Smlarly, (3) may, e.g. be derved from a representatve consumer model wth utlty functon U(λ,θ) C λt B 1 λ + λ T B 1 a(w) where the N N matrx B has B = b and B j = β j, j, a(w) a (w ) j αj(wj) and C > 0. ( (D) ensures that B 1 exsts and s negatve sem-defnte, gvng rse to a jontly concave utlty functon). The demand functons (3) arse by optmzng the utlty functon subject to a budget constrant. 3 (4) reduces to lower bounds for the ntercept values: a (0) > j αj(w)+b(c + γ) j βj(cj + γj).

11 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 11 two remanng competton models (Watng Tme Competton and Smultaneous Competton),Allon and Federgruen (2007) show that a somewhat stronger condton s needed, namely λ (p,w) > 0, p N =1 [ p mn ],p max,w [0,w max ] N 4 (5) 3. Identcal Retalers: Prce Competton We ntally focus on a basc class of models wth dentcal servce retalers, and demand functons of the quas-separable type (3). Ths allows for analytcal comparsons of the equlbra and coordnatng prcng schemes under each of the three types of competton and each of the varous outsourcng optons. Thus, assume the frms face dentcal cost parameters {c,γ } N =1 = (c,γ). Consder frm ndependent demand functons wth prce lnearty as n (3), and assume that the functons a ( ) and α j ( ) are affne as well. Thus, for postve constants a 0,a,α,b and β: [ λ = a 0 aw +α w j bp +β ] + p j, = 1,...,N. (6) j j Smlar to condton (D), we assume wthout practcal loss of generalty, that a > (N 1)α (7),.e., no frm experences an ncrease n ts demand volume when all frms ncrease ther watng tme standards by the same amount. Defne the ntensty of the prce competton by ρ (N 1)β b and the ntensty of the watng tme competton by θ (N 1)α. Note that both ρ and θ are dmensonless ndces, wth a 0 < ρ < 1 and 0 < θ < 1, by (D) and (7). In the symmetrc model, condton (5) can be replaced by a consderably weaker requrement, namely: λ (p,...,p;w,...,w) > 0 for all c +γ p p max and w mn w w max (8) In other words, when the frms offer dentcal terms to the customers, each faces an dentcal and postve 4 (5) reduces to smlar lower bounds for the ntercept values a (0).

12 12 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) demand volume. ((8) s dentcal to the followng lower bound for a 0 : a 0 b(1 ρ)p max +a(1 θ)w max.) When all N frms provde n-house servce, the proft functon for frm s, by 1, gven by ) π = λ (p c) γµ = λ (p c) γ (λ + 1w. (9) Assume frst that the frms engage n prce competton, under dentcal watng tme standards w = w. Theorem 1 n Allon and Federgruen (2007) establshes that, lke wth all prce-lnear demand functons, for dentcal as well as non-dentcal frms, the prce competton model has a unque prce equlbrum p whch satsfes the set of lnear equatons λ = b(p c γ), = 1...,N (10) where λ = λ (p,w) > 0. It s easly verfed, by substtuton n (6) and (9), that p = p a0 w(a (N 1)α) +b(c +γ) ; π = b (p c γ) 2 γ 2b (N 1)β w. (11) In partcular, by (10), the model has a unque symmetrc equlbrum, wth p = p > c +γ. We now compare the decentralzed system wth n-house servce at the servce retalers, wth varous outsourcng scenaros. We start wth a base model n whch a common suppler faces the same cost rates as the retalers encounter when provdng n-house servce. To put the outsourcng opton n the best possble lght, we assume the resultng servce chan, whle contnung to be decentralzed, operates at maxmum effcency. The profts n a centralzed chan, under outsourcng, are unaffected by transfer payments between the retalers and the suppler, and are gven by Π(p) = N λ =1 p c ( N λ N ) =1 γ λ =1 + ν. Here w 1 ν N represents an neffcency ndex. The extreme values ν = 1 and ν = N arse when the supplers explot economes of scope maxmally, or not at all. When servng the customers of dfferent retalers n dedcated facltes, ν = N, see (1); when poolng all servce processes nto a sngle faclty, ν = 1. (When the same watng tme standards and the servce tme dstrbutons apply to all customers, there s no advantage to gve prorty to some frms over others..e., customers are optmally served on a FIFO bass and the

13 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 13 suppler s servce process s an M/M/1 system wth arrval rate N λ =1. The capacty related cost s thus ( N ) gven by γ λ =1 + 1.) More generally, the potental for economes of scale may only be exercsed n w part, gvng rse to an ntermedate value for the neffcency ndex. The functon Π s a strctly jontly concave quadratc functon of p. (In ts Hessan, the dagonal elements equal 2b, whle the off-dagonal elements equal β. Ths matrx s negatve sem-defnte,snce by (D), the absolute value of the dagonal element domnates the sum of the absolute values of the off dagonal elements n each row.) Thus, the unque optmal prce vector p CB s the one that satsfes the set of frst order condtons: b(p c γ) +λ +β j (p j c γ) = 0, (12) Ths system of equatons has a symmetrc soluton, p CB, whch s ndependent for p CB = p CB a0 w(a (N 1)α) 2(b (N 1)β) + c +γ 2 = a0 w(a (N 1)α) 2b + c +γ 2. (13) Let λ CB = λ(p CB,w) and Π CB = Π(p CB ) denotes the optmal chan-wde profts n the servce chan. Note that p,p CB,λ and λ CB are all ndependent of the neffcency ndex. Proposton 3.1 shows that each frm s optmal prce level s hgher and ts demand volume lower than under n-sourcng. Proposton 3.1(Comparng decentralzed system vs centralzed system) Assume (4). (a) p < p CB ; (b) λ > λ CB, (c) For a fxed value of b, the total prce senstvty of demand, Π CB s ndependent of ρ, whle, under n-house servce, each retaler s profts decreases wth ρ: π = ( 1 b [a 0 w(a (N 1)α)] (c +γ)b ) 2 1 ρ. (2 ρ) 2 As shown n 7 the servce chan, under outsourcng, may acheve frst best level aggregate profts (e = 1), whenever a specfc per customer fee c WB s charged to each retaler. The retalers share of these profts depends on whether a fxed per perod payment or subsdy K s added to the volume based fee. Hasja et al. (2006) s survey shows that such fxed payments are added to some of the contracts, but not to others. In the next theorem, we therefore consder three potental values for a fxed payment K: () K=0, () K s set to compensate the suppler for the cost of the servce based capacty, and () K s set to ensure that

14 14 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) the suppler merely breaks even. We are partcularly nterested n () as t reflects a best case scenaro for outsourcng: a maxmally effcent servce chan n whch the retalers share of the profts s maxmzed. Theorem 3.1(Proft comparsons between n-house servce and outsourcng) Assume the servce chan under outsourcng acheves frst best aggregate profts. For suffcently large w max : (a) N =0 π OB N =1 π regardless of what fxed transfer payments are used. Under any fxed payment K, π OB s ndependent of the suppler s neffcency ndex ν, = 1,...,N. π OB 0 decreases wth ν. (b) In the absence of fxed transfer payments (K = 0) () π OB π ff λ(c +γ,w) λ0 2 ρ = 4γb 1 ρ 4ρ ρ 2 w () π OP 0 0 for w suffcently small,.e., w < w(ν), wth w(ν) ncreasng n ν. (c) Assume K = γ,.e., each retaler compensates the suppler perodcally for the servce based capac- w ty he mposes (f served by herself): π OB 0 > 0, π OB π rrespectve of the watng tme standard w. (d) Assume the fxed payment K s set to ensure that the suppler breaks even. Then 0 π OB (ν) π = λ 2 (c+γ,w) b ρ 2 + (N ν)γ 4(2 ρ) 2 Nw Thus, wthout fxed transfer payments, whether or not the retal frms beneft from outsourcng depends on the gven watng tme standard. For any gven value of w, outsourcng s benefcal f and only f the frms demand volume, when prcng at cost (p = c + γ), s less than a gven break even value, and ths break-even volume s nversely proportonal wth the square-root of the watng tme standard. Outsourcng s benefcal only when the demand volume falls below a gven break-even pont, snce the frm s cost functon, under n house servce, s affne wth a per unt cost gven by c + γ + ( γ 1 w). In other words, the λ average cost functon exhbts economes of scale, even though the margnal cost s constant. In addton, the smaller the watng tme standard w, the more pronounced the economes of scale are, and the larger the break even volume. In the absence of fxed transfer payments, the break even volume s ndependent of the suppler s neffcency ndex ν. If the coordnatng volume based fee c WB s complemented wth a perodc fee K = γ,.e., the cost of w the servce based capacty whch the retaler mposes on the suppler, f served by hmself, the retalers are always worse off under outsourcng, rrespectve of ther demand volume. However, Theorem 3.1(d) shows

15 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 15 that there are payment schemes under whch all retalers beneft from outsourcng and the suppler breaks at least even. The expresson, there, denotes the maxmum beneft retalers can reap when outsourcng,.e., assumng the servce chan, under outsourcng, s maxmally effcent and the retalers are able to squeeze the suppler s profts down to zero. The expresson for these maxmum benefts conssts of two parts. The frst term represents the benefts, f the suppler makes no use of the potental for servce poolng, whle the second term denotes the addtonal benefts that accrue when the suppler apples full or partal servce poolng. The benefts ncrease as the compettve ntensty ρ ncreases, for a fxed smple prce senstvty b, and even, for a fxed total prce senstvty b and hence for a fxed demand volume, when prcng at cost. They grow n proporton to the square of ths demand volume. Not surprsngly, the more effcent the suppler, the larger the maxmum benefts assocated wuth outsourcng: ndeed the maxmum benefts depend lnearly on the neffcency ndex ν. As mentoned n the ntroducton, beyond the outsde suppler s ablty to explot economes of scope by poolng the servce processes for the dfferent retal frms, a second drver behnd the benefts of outsourcng often results from the suppler s ablty to operate wth lower cost rates than the retalers. (The servce process often represents the suppler s core competency rather than that of the retalers.) We refer to the on-lne Appendx for Theorem A.1, whch generalzes Theorem 4.1 to allow for arbtrary cost dfferentals between the suppler and the retalers. (To smplfy the exposton, we confne ourselves, there, to the case where the suppler uses a dedcated faclty for each of the retalers. All results can be extended to the general case wth a general effcency ndex ν. ) Theorem 4.1 showed that n the base outsourcng model wthout fxed transfer payments, the retalng frms are better off outsourcng ff ther demand volume, when prcng at cost, s below a crtcal value. The same characterzaton apples to the case where the suppler enjoys lower cost rates. The break even value for ths demand volume ncreases wth, the dfferental n the total cost rate enjoyed by the suppler. The break even value s also decreasng n the watng tme standard w. Thus, the hgher the servce level, the hgher the mnmum demand under whch a retaler prefers preformng servce n-house. Whle ths phenomenon occurs n the base model (see Theorem 1(b)), t s all the more pronounced when the suppler operates under lower cost rates.

16 16 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 4. Prce Competton: Stablty of Servce Chan Even f all retalers beneft from collectve outsourcng compared to all of them provdng n-house servce, t s not clear whether the servce chan, under outsourcng, s mmune to defectons by ndvdual retalers, or, whether collectve outsourcng arses as an equlbrum, when each frm has an upfront choce whether to outsource or to keep servce n-house. Ths apples even when outsourcng s portrayed n the best possble lght,.e., the servce chan acheves frst best level profts, all of whch are earned by the retalers. Thus, consder the followng two-stage game: n the frst stage each retaler decdes whether to outsource the servce process or to perform t n-house. For the frms who opt for outsourcng, the resultng chan s assumed to guarantee maxmum possble profts for ts partcpatng retalers,.e., t operates under a perfectly coordnatng prcng scheme wth fxed transfer payments, reducng the suppler s profts to zero. In the second stage game, the servce chan competes wth each of the retalers that have chosen to perform the servce n-house, once agan ensurng the frms nsde the chan of frst-best level profts, gven the competton of the frms outsde the chan. Theorem 4.1 characterzes under what condtons the soluton where all retalers decde to outsource n the frst stage, s a Sub game Perfect Nash Equlbrum (SPNE). Theorem 4.1(Sustanablty of servce chans under prce competton) (a) Let 0 ρ (N) 2(N 2 4N +5)+2 (N 2 4N +5) 2 +(N 1)(N 3) 1, and λ(ρ,n,ν) ( ) ( ) γ w 1 ν 2b+ N 1 b N+1 ρ 1. The soluton where all frms decde to outsource n stage one N 4 b2 1 ρ ρ 2 1 ρ N 1 4b and adopt the prce vector p CB n stage two s a SPNE f and only f one of the followng three condtons s satsfed: () N 3, () N 4, ρ ρ (N) () N 4,ρ ρ (N) and λ(c +γ,w) λ(ρ,n,ν) (b) ρ (N) s non-decreasng n N wth lm N ρ (N) = 1. As mentoned, the proft values n Theorem 4.1(d) s arguably the best a partcpatng servce retaler can hope for, as t maxmzes chan-wde profts whle preservng all such profts for the servce retalers and reducng those of the outsde suppler to zero. When N 3, the servce chan, under outsourcng, s mmune to defectons. However, when N 4 and the suppler fals to explot economes of scope (ν = N),

17 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 17 Fgure 1 Stablty of the Servce Chan ρ * (N) Compettve Intensty ρ Number of Frms N an ndvdual servce retaler has an ncentve to leave the chan and brng the servce process n-house f and only f the compettve ntensty s below the crtcal value ρ (N). In other words, whether the chan s stable or not depends on whether the par of ndustry characterstcs (N, ρ) les below or above the swtchng curve {ρ (N) : N = 2,3,...} depcted n Fgure 1. (Defne ρ (2) = ρ (3) = 0.) Ths phenomenon occurs because the unmtgated competton a frm faces when defectng, acts less as a deterrent when the compettve ntensty s lower. Cachon and Harker (2002), n ther duopoly model, establshed the exstence of a lnear wholesale prcng scheme under whch both servce retalers beneft from outsourcng, the outsde suppler earns a proft and the chan s mmune for defectons. Theorem 4.1 shows that stablty of the chan, whle guaranteed under a small number of compettors, N 3, becomes ncreasngly more dffcult to acheve as the number of competng frms ncreases. The reason defecton from the servce chan may be benefcal s that the chan adopts a sgnfcantly larger prce than, say, the prce p n a decentralzed system so as to drve the profts of the partcpatng retalers to ther maxmal level. A defectng retaler, may, when ρ < ρ (N) explot ths by adoptng a sgnfcantly lower prce and thus attractng a sgnfcantly larger market share. Paradoxcally, the chan can prevent defectons, by nducng the partcpatng retalers to adopt the prce p nstead of p CB, even though the resultng profts for the retalers are lower than under the coordnaton scheme of Theorem 4.1(d) (As shown n 7, the chan may nduce the retalers to adopt any desred prce c + γ, by chargng a specfc volume based fee c W.) Stablty of the servce chan under outsourcng s enhanced to the extent the suppler explots the benefts

18 18 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) of servce poolng: when ν < N, the chan remans stable, even when N 4, and ρ ρ (N) as long as the sales volume, when prcng at cost, s below a gven threshold value λ(ρ,n,ν). The more effcent the suppler, the lower the neffcency ndex ν, and the larger the threshold λ. Smlarly, the strcter the watng tme standard or the larger the cost of capacty γ, the larger the sales volume threshold to ensure stablty, when the suppler apples partal of complete servce poolng. Fnally, t s easly verfed that any cost rate advantages for the suppler, see Appendx B, reduce the potental for defectons of ndvdual frms from a servce chan wth outsourcng: when N 3 or N 4 and ρ > ρ (N), such defectons are precluded n the base model and contnue to be precluded f the suppler enjoys cost rate advantages. At the same tme, the stablty of the servce chan contnues to preval under such cost rate advantages, even when N 4 and ρ ρ provded equlbrum demands are not too large. Theorem 5.1 dentfes the necessary and suffcent condtons for unversal outsourcng,.e., for a servce chan wth all N frms, to arse as a SPNE n the two-stage game. We now address the more general queston, when a Nash equlbrum arses wth m frms mantanng n house servce, and the remanng m o = N m frms outsourcng ther servce processes, for any 0 m N 1. In other words, when s a servce chan wth m o partcpatng frms stable, n the sense that none of the frms nsde the chan has an ncentve to brng the servce process n house, whle any of the frms provdng n house servce ncurs a strct proft loss by outsourcng and jonng the servce chan. 5 The followng Theorem shows that a (pure) SPNE exsts, for at least one value of m o, and t provdes a suffcent condton for m o, the sze of the outsourced servce chan, to be unque among all Nash equlbra. (Clearly, f a Nash equlbrum exsts wth 1 m o N frms n the chan, any of the ( N o ) m nets of o mo frms among the ndustry of N, gves rse to a Nash equlbrum.) We have observed that, except when the number of frms n the ndustry s very small (N 3), or when the compettve ntensty ρ s very large, equlbra arse wth partal outsourcng,.e. 1 < m o < N; ths, even n an ndustry where all frms have dentcal characterstcs. Let π o (,m o )[π o (o,m o )] = the proft of a frm currently n a servce chan wth m o frms, when swtchng to n-house servce [ when contnung to outsource]. 5 Ths asymmetrc defnton favors the outsourcng opton, n case of a te.

19 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 19 π (,m )[π (o,m )] = the proft of a frm, currently among m frms provdng n house servce, when contnung to do so [ when swtchng to outsource]. Note, π o (,m o ) = π (,N m o + 1); π o (o,m o ) = π (o,n m o + 1), 1 m o N. A SPNE, wth m o frms outsourcng, exsts ff π o (o,m o ) π o (,m o ) and π (,N m o ) > π(o,n m o ) (14) Fnally, let X be a lattce wth partal order and T an ordered set. Mlgrom and Shannon (1994) defne a functon f : X T R as havng the strct sngle crossng pont property f for all x x and t T, f(x,t) > f(x,t) f(x,t ) > f(x,t ) f for all t t. Theorem 4.2 (a) The two stage outsourcng game has a (pure) SPNE (b) Assume the functon π o : X N 0 R wth X = {,o} and o has the strct sngle crossng pont property. Then, a SPNE exsts for a sngle value of outsourcng frms m o, whch decreases wth the neffcency ndex ν. Thus, under the sngle crossng pont property, the more the servce supply chan s able to explot the benefts of servce poolng, the larger a servce chan arses n the two stage outsourcng game. We now show that the sze m o of a stable outsourcng chan, depends crtcally on N, the number of frms n the ndustry, and the compettve ntensty ρ, smlar to the stablty condtons for unversal outsourcng (m o = N) n Theorem 5.3. To do so, we confne ourselves to the case where the common suppler servces each of the partcpatng frms n a dedcated faclty. In ths case, the condton for a stable chan wth m o frms reduces to a par of nequaltes, merely nvolvng m o,n, and ρ. Theorem 4.3Assume the suppler n the servce chan serves each of the partcpatng frms n a dedcated faclty. In the two stage game, an SPNE wth m o outsourcng frm arses ff ( 2 ( 2 1 (N m 1) ρ N ρ N+1 ) ρ N 1 )( 2 (m 1) ρ N 1 (N m) ) (N m)m ( ) 2 ρ N 1 2 > (15)

20 20 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) Fgure 2 Stablty of the Servce Chan Equlbrum Chan Sze Compettve ntensty ( ) ρ 2 + ρ N 1 1 (N m) ( )( ) ( N (N m) ρ 2 (m 2) ρ N 1 N 1 2 ρ N 1) (m 1)(N m + 1) 2 ( 2 ( 2 1 (N m 2) ρ N ρ N+1 ) ρ N 1 )( 2 m ρ N 1 (N m 1) ) (N m 1)(m + 1) ( ) ρ 2 + ρ N 1 1 (N m 1) ( )( ) ( N (N m 1) ρ 2 (m 1) ρ N 1 N 1 ( ρ N 1 ) ρ N 1) m(n m) < (16) We have observed that for almost all values of N and ρ, the functon π o has the sngle crossng pont property so that the equlbrum sze of the servce chan s unque. However, for some very hgh compettve ntenstes, the property may fal to hold, and multple equlbrum chan szes may arse. Fgure 2 shows for an ndustry wth N = 10 frms, how the equlbrum value(s) of m o vary as a functon of ρ; even under a low compettve ntensty, m o = 3; as ρ ncreases so does m o. When ρ ρ (N), a chan wth m o = N frms s stable, but so s one wth m o = 6 frms Identcal Retalers: Watng Tme Competton In ths secton we assess the benefts of outsourcng when the retalers compete by selectng ther watng tme standards, under a gven, exogenously specfed, prce level p. Corollary 2 n Allon and Federgruen (2007) establshes for general systems wth possbly non-dentcal retalers, that a unque equlbrum vector w exsts. In our case, ths equlbrum satsfes the frst order

21 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) 21 condtons π w = a(p c γ) + γ w 2 = 0,.e. w1 = = w N = γ. Allon and Federgruen (2007) a(p c γ) show, n fact, that ths equlbrum s a domnant soluton,.e. t s optmal for each frm to adopt ths watng tme standard regardless of the choces made by ts compettors. In comparng the case of n-house servce wth the equlbrum under outsourcng we portray the latter agan n the best possble lght,.e., we assume the servce chan under outsourcng operates n the most effcent possble way. We frst need to followng Lemma: Lemma 5.1A servce chan acheves frst-best performance, when all frms adopt a common watng tme standard w CB, both when the suppler serves the dfferent frms n dedcated facltes and when t pools the servce process. In the former case w CB = 1 1 θ w 1 γ =, n the latter case 1 θ a(p c γ) wcb = 1 1 N 1 θ w 1 γ = N(1 θ) a(p c γ) Thus, aggregate profts n the servce chan, under an optmal (common) watng tme standard w, are gven by Π CB (w) = (p c γ) N =1 λ γ N w when dedcated facltes are used, and by ΠCB (w) = (p c γ) N λ =1 γ, under servce poolng. As n the case of prce competton, we gve a unfed w treatment to both settngs, as well as ntermedate ones wth partal poolng, gvng rse to proft functon Π CB (w) = (p c γ) N λ =1 γ ν, for a general neffcency ndex 1 ν(n) N wth a correspondng w optmal watng tme standard w CB γν(n) =. Thus, N(1 θ)a(p c γ) wcb w ff θ 1 ν and N wcb ncreases n proporton to the square root of the neffcency ndex. In 7, we show that the servce chan can acheve frst best level aggregate profts under a contnuum of volume based and capacty based fee pars. We also show how the retalers and the suppler s profts are affected by the choce of a coordnatng fee par. We now show that, even when the retalers reap maxmum benefts from outsourcng the servce chan may fal to be mmune to defectons. Even more pronounced than n the case of prce competton, the ablty of the suppler n a servce chan to explot the benefts of servce poolng, has fundamental mplcatons for the stablty of the chan: wthout servce poolng the chan s stable only when N 4 (and for N = 4 only when the compettve ntensty θ 0.96). Under full servce poolng, the chan s always stable. Theorem 5.2(Sustanablty of servce chans under watng tme competton)

22 22 Artcle submtted to ; manuscrpt no. (Please, provde the mansucrpt number!) (a) The servce chan s stable,.e., the soluton where all frms decde to outsource n stage one of the outsourcng game, and adopt the watng tme standard w CB n stage 2 s an SPNE ff θ ν(n 2) (1 θ)ν(n) +2 2 (17) (N 1) (N 2)θ N In partcular, stablty s enhanced whenever the neffcency ndex ν( ) s decreased. (b) Wth dedcated facltes (ν = N), the chan s stable f N 3 or N = 4 and θ The chan s never stable when N 5. (c) Wth full servce poolng (ν = 1), the chan s always stable. Fnally, t s easly verfed, along the lnes of the above proof, that for example wth dedcated facltes, an SPNE exsts wth m o outsourcng frms ff θ N mo 1 N 1 1 θ N mo θ N mo > 2 and 2 > N 1 N 1 θ N mo θ N mo 2 N 1 N θ N mo 2 N 1 In general, Theorem 4.2 contnues to apply,.e. a pure SPNE always exsts n the two-stage outsourcng game. It nduces a unque chan sze m o f the functon π o has the sngle pont crossng property. 6. Identcal Retalers: Smultaneous Competton When the retalers compete smultaneously n terms of ther prces and watng tmes, the benefts of outsourcng are somewhat more dffcult to assess. For one, a suffcent condton s requred to ensure that a decentralzed system has a unque equlbrum whch s symmetrc and that the centralzed system has a symmetrc optmal soluton as well. We start wth the case where an outsde suppler serves the customers of each frm n a dedcated faclty. For = 1,...,N, let π (p,w) denote the equlbrum proft for retaler, under the prce vector p and the vector of watng tme standards w, and let Π CB (p,w) denote the optmal aggregate proft of the servce chan under outsourcng. Theorem (Comparson of prce and watng tme choces, wth and wthout outsourcng, under smultaneous competton) There exsts a value γ such that for all γ γ: 6 The parameter condtons are overly restrctve. They provde guarantees under the smplest verfable condton that the Nash equlbrum under n-house servce and the optmal soluton under outsourcng are symmetrc

The literature on many-server approximations provides significant simplifications toward the optimal capacity

The literature on many-server approximations provides significant simplifications toward the optimal capacity Publshed onlne ahead of prnt November 13, 2009 Copyrght: INFORMS holds copyrght to ths Artcles n Advance verson, whch s made avalable to nsttutonal subscrbers. The fle may not be posted on any other webste,

More information

Economic Models for Cloud Service Markets

Economic Models for Cloud Service Markets Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng

More information

Capacity Reservation for Time-Sensitive Service Providers: An Application in Seaport Management

Capacity Reservation for Time-Sensitive Service Providers: An Application in Seaport Management Capacty Reservaton for Tme-Senstve Servce Provders: An Applcaton n Seaport Management L. Jeff Hong Department of Industral Engneerng and Logstcs Management The Hong Kong Unversty of Scence and Technology

More information

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Economic Models for Cloud Service Markets Pricing and Capacity Planning

Economic Models for Cloud Service Markets Pricing and Capacity Planning Economc Models for Cloud Servce Markets Prcng and Capacty Plannng Ranjan Pal 1 and Pan Hu 2 1 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de

More information

Coordinating Supply Chains with Simple Pricing Schemes: TheRoleofVendorManagedInventories

Coordinating Supply Chains with Simple Pricing Schemes: TheRoleofVendorManagedInventories Coordnatng Supply Chans wth Smple Prcng Schemes: TheRoleofVendorManagedInventores Fernando Bernsten Fangruo Chen Aw Federgruen The Fuqua School of Busness Graduate School of Busness Graduate School of

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers Prce Competton n an Olgopoly Market wth Multple IaaS Cloud Provders Yuan Feng, Baochun L, Bo L Department of Computng, Hong Kong Polytechnc Unversty Department of Electrcal and Computer Engneerng, Unversty

More information

Addendum to: Importing Skill-Biased Technology

Addendum to: Importing Skill-Biased Technology Addendum to: Importng Skll-Based Technology Arel Bursten UCLA and NBER Javer Cravno UCLA August 202 Jonathan Vogel Columba and NBER Abstract Ths Addendum derves the results dscussed n secton 3.3 of our

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and Ths artcle appeared n a ournal publshed by Elsever. The attached copy s furnshed to the author for nternal non-commercal research educaton use, ncludng for nstructon at the authors nsttuton sharng wth

More information

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:

More information

No 144. Bundling and Joint Marketing by Rival Firms. Thomas D. Jeitschko, Yeonjei Jung, Jaesoo Kim

No 144. Bundling and Joint Marketing by Rival Firms. Thomas D. Jeitschko, Yeonjei Jung, Jaesoo Kim No 144 Bundlng and Jont Marketng by Rval Frms Thomas D. Jetschko, Yeonje Jung, Jaesoo Km May 014 IMPRINT DICE DISCUSSION PAPER Publshed by düsseldorf unversty press (dup) on behalf of Henrch Hene Unverstät

More information

Pricing Model of Cloud Computing Service with Partial Multihoming

Pricing Model of Cloud Computing Service with Partial Multihoming Prcng Model of Cloud Computng Servce wth Partal Multhomng Zhang Ru 1 Tang Bng-yong 1 1.Glorous Sun School of Busness and Managment Donghua Unversty Shangha 251 Chna E-mal:ru528369@mal.dhu.edu.cn Abstract

More information

Equlbra Exst and Trade S effcent proportionally

Equlbra Exst and Trade S effcent proportionally On Compettve Nonlnear Prcng Andrea Attar Thomas Marott Franços Salané February 27, 2013 Abstract A buyer of a dvsble good faces several dentcal sellers. The buyer s preferences are her prvate nformaton,

More information

Cross-Selling in a Call Center with a Heterogeneous Customer Population

Cross-Selling in a Call Center with a Heterogeneous Customer Population OPERATIONS RESEARCH Vol. 57, No. 2, March Aprl 29, pp. 299 313 ssn 3-364X essn 1526-5463 9 572 299 nforms do 1.1287/opre.18.568 29 INFORMS Cross-Sellng n a Call Center wth a Heterogeneous Customer Populaton

More information

Managing Cycle Inventories. Matching Supply and Demand

Managing Cycle Inventories. Matching Supply and Demand Managng Cycle Inventores Matchng Supply and Demand 1 Outlne Why to hold cycle nventores? Economes of scale to reduce fxed costs per unt. Jont fxed costs for multple products Long term quantty dscounts

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

Evolution of Internet Infrastructure in the 21 st century: The Role of Private Interconnection Agreements

Evolution of Internet Infrastructure in the 21 st century: The Role of Private Interconnection Agreements Evoluton of Internet Infrastructure n the 21 st century: The Role of Prvate Interconnecton Agreements Rajv Dewan*, Marshall Fremer, and Pavan Gundepud {dewan, fremer, gundepudpa}@ssb.rochester.edu Smon

More information

Chapter 7: Answers to Questions and Problems

Chapter 7: Answers to Questions and Problems 19. Based on the nformaton contaned n Table 7-3 of the text, the food and apparel ndustres are most compettve and therefore probably represent the best match for the expertse of these managers. Chapter

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Understanding the Impact of Marketing Actions in Traditional Channels on the Internet: Evidence from a Large Scale Field Experiment

Understanding the Impact of Marketing Actions in Traditional Channels on the Internet: Evidence from a Large Scale Field Experiment A research and educaton ntatve at the MT Sloan School of Management Understandng the mpact of Marketng Actons n Tradtonal Channels on the nternet: Evdence from a Large Scale Feld Experment Paper 216 Erc

More information

PRODUCTION AND OPERATIONS MANAGEMENT

PRODUCTION AND OPERATIONS MANAGEMENT PRODUCTION AND OPERATIONS MANAGEMENT Vol. 17, No. 5, September October 2008, pp. 532 542 ssn 1059-1478 essn 1937-5956 08 1705 0532 POMS do 10.3401/poms.1080.0054 2008 Producton and Operatons Management

More information

Substitution Effects in Supply Chains with Asymmetric Information Distribution and Upstream Competition

Substitution Effects in Supply Chains with Asymmetric Information Distribution and Upstream Competition Substtuton Effects n Supply Chans wth Asymmetrc Informaton Dstrbuton and Upstream Competton Jochen Schlapp, Mortz Fleschmann Department of Busness, Unversty of Mannhem, 68163 Mannhem, Germany, jschlapp@bwl.un-mannhem.de,

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

In some supply chains, materials are ordered periodically according to local information. This paper investigates

In some supply chains, materials are ordered periodically according to local information. This paper investigates MANUFACTURING & SRVIC OPRATIONS MANAGMNT Vol. 12, No. 3, Summer 2010, pp. 430 448 ssn 1523-4614 essn 1526-5498 10 1203 0430 nforms do 10.1287/msom.1090.0277 2010 INFORMS Improvng Supply Chan Performance:

More information

On the Role of Consumer Expectations in Markets with Network Effects

On the Role of Consumer Expectations in Markets with Network Effects No 13 On the Role of Consumer Expectatons n Markets wth Network Effects Irna Suleymanova, Chrstan Wey November 2010 (frst verson: July 2010) IMPRINT DICE DISCUSSION PAPER Publshed by Henrch Hene Unverstät

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Cross-Selling in a Call Center with a Heterogeneous Customer Population

Cross-Selling in a Call Center with a Heterogeneous Customer Population OPERATIONS RESEARCH Vol. 57, No. 2, March Aprl 2009, pp. 299 313 ssn 0030-364X essn 1526-5463 09 5702 0299 nforms do 10.1287/opre.1080.0568 2009 INFORMS Cross-Sellng n a Call Center wth a Heterogeneous

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

An Empirical Study of Search Engine Advertising Effectiveness

An Empirical Study of Search Engine Advertising Effectiveness An Emprcal Study of Search Engne Advertsng Effectveness Sanjog Msra, Smon School of Busness Unversty of Rochester Edeal Pnker, Smon School of Busness Unversty of Rochester Alan Rmm-Kaufman, Rmm-Kaufman

More information

The Economics of Two-sided Markets 2. Platform competition!

The Economics of Two-sided Markets 2. Platform competition! U. Porto Doctoral Programme n Economcs The Economcs of Two-sded Markets 2. Platform competton! Paul Belleflamme, CORE & LSM! Unversté catholque de Louvan! Aprl 10-13, 2012 Learnng objectves At the end

More information

Game theory in Oligopoly

Game theory in Oligopoly Game theory n Olgopoly Prof. Marx Boopath, Nkolaj Sujen. Abstract The game theory technques are used to fnd the equlbrum of a market. Game theory refers to the ways n whch strategc nteractons among economc

More information

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence 1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh

More information

Internet companies extensively use the practice of drop-shipping, where the wholesaler stocks and owns the

Internet companies extensively use the practice of drop-shipping, where the wholesaler stocks and owns the MANAGEMENT SIENE Vol. 52, No. 6, June 26, pp. 844 864 ssn 25-199 essn 1526-551 6 526 844 nforms do 1.1287/mnsc.16.512 26 INFORMS Supply han hoce on the Internet Sergue Netessne The Wharton School, Unversty

More information

Strategic segmentation of a market

Strategic segmentation of a market Internatonal Journal of Industral Organzaton 18 (000) 179 190 www.elsever.com/ locate/ econbase Strategc segmentaton of a maret Santanu Roy* Department of Economcs, Florda Internatonal Unversty, Unversty

More information

When Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services

When Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services When Network Effect Meets Congeston Effect: Leveragng Socal Servces for Wreless Servces aowen Gong School of Electrcal, Computer and Energy Engeerng Arzona State Unversty Tempe, AZ 8587, USA xgong9@asuedu

More information

PRICING AND REPLENISHMENT STRATEGIES IN A DISTRIBUTION SYSTEM WITH COMPETING RETAILERS

PRICING AND REPLENISHMENT STRATEGIES IN A DISTRIBUTION SYSTEM WITH COMPETING RETAILERS PRICING AND REPLENISHMENT STRATEGIES IN A DISTRIBUTION SYSTEM WITH COMPETING RETAILERS FERNANDO BERNSTEIN The Fuqua School of Busness, Duke Unversty, Durham, North Carolna 27708, fernando@duke.edu AWI

More information

Organizational Structure and Coordination in Electronic Retailing: A Competitive Analysis

Organizational Structure and Coordination in Electronic Retailing: A Competitive Analysis Organzatonal Structure and Coordnaton n Electronc Retalng: A Compettve Analyss Abstract Ths study examnes coordnaton ssues that occur between the Marketng department and the Informaton Technology (IT department

More information

On the Interaction between Load Balancing and Speed Scaling

On the Interaction between Load Balancing and Speed Scaling On the Interacton between Load Balancng and Speed Scalng Ljun Chen, Na L and Steven H. Low Engneerng & Appled Scence Dvson, Calforna Insttute of Technology, USA Abstract Speed scalng has been wdely adopted

More information

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy Fnancal Tme Seres Analyss Patrck McSharry patrck@mcsharry.net www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton

More information

This paper concerns the evaluation and analysis of order

This paper concerns the evaluation and analysis of order ORDER-FULFILLMENT PERFORMANCE MEASURES IN AN ASSEMBLE- TO-ORDER SYSTEM WITH STOCHASTIC LEADTIMES JING-SHENG SONG Unversty of Calforna, Irvne, Calforna SUSAN H. XU Penn State Unversty, Unversty Park, Pennsylvana

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

reduce competition increase market power cost savings economies of scale and scope cost savings Oliver Williamson: the efficiency defense

reduce competition increase market power cost savings economies of scale and scope cost savings Oliver Williamson: the efficiency defense Mergers Why merge? reduce competton ncrease market power cost savngs economes of scale and scope Why allow mergers? cost savngs Olver Wllamson: the effcency defense Merger wthout cost savngs Before merger:

More information

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA ) February 17, 2011 Andrew J. Hatnay ahatnay@kmlaw.ca Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative. Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When

More information

Robert Wilson for their comments on the a predecessor version of this paper.

Robert Wilson for their comments on the a predecessor version of this paper. Procurng Unversal Telephone ervce Paul Mlgrom 1 tanford Unversty, August, 1997 Reprnted from 1997 Industry Economcs Conference Proceedngs, AGP Canberra Introducton One of the hallmarks of modern socety

More information

This paper looks into the effects of information transparency on market participants in an online trading

This paper looks into the effects of information transparency on market participants in an online trading Vol. 29, No. 6, November December 2010, pp. 1125 1137 ssn 0732-2399 essn 1526-548X 10 2906 1125 nforms do 10.1287/mksc.1100.0585 2010 INFORMS The Effects of Informaton Transparency on Supplers, Manufacturers,

More information

Necessary Of A Retaler-Operator

Necessary Of A Retaler-Operator Decentralzed Inventory Sharng wth Asymmetrc Informaton Xnghao Yan Hu Zhao 1 xyan@vey.uwo.ca zhaoh@purdue.edu Rchard Ivey School of Busness The Unversty of Western Ontaro Krannert School of Management Purdue

More information

A Novel Auction Mechanism for Selling Time-Sensitive E-Services

A Novel Auction Mechanism for Selling Time-Sensitive E-Services A ovel Aucton Mechansm for Sellng Tme-Senstve E-Servces Juong-Sk Lee and Boleslaw K. Szymansk Optmaret Inc. and Department of Computer Scence Rensselaer Polytechnc Insttute 110 8 th Street, Troy, Y 12180,

More information

Enabling P2P One-view Multi-party Video Conferencing

Enabling P2P One-view Multi-party Video Conferencing Enablng P2P One-vew Mult-party Vdeo Conferencng Yongxang Zhao, Yong Lu, Changja Chen, and JanYn Zhang Abstract Mult-Party Vdeo Conferencng (MPVC) facltates realtme group nteracton between users. Whle P2P

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

General Auction Mechanism for Search Advertising

General Auction Mechanism for Search Advertising General Aucton Mechansm for Search Advertsng Gagan Aggarwal S. Muthukrshnan Dávd Pál Martn Pál Keywords game theory, onlne auctons, stable matchngs ABSTRACT Internet search advertsng s often sold by an

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

Trade Adjustment and Productivity in Large Crises. Online Appendix May 2013. Appendix A: Derivation of Equations for Productivity

Trade Adjustment and Productivity in Large Crises. Online Appendix May 2013. Appendix A: Derivation of Equations for Productivity Trade Adjustment Productvty n Large Crses Gta Gopnath Department of Economcs Harvard Unversty NBER Brent Neman Booth School of Busness Unversty of Chcago NBER Onlne Appendx May 2013 Appendx A: Dervaton

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

How To Compare Frm To An Isac

How To Compare Frm To An Isac Informaton Systems Research Vol. 16, No. 2, June 2005, pp. 186 208 ssn 1047-7047 essn 1526-5536 05 1602 0186 nforms do 10.1287/sre.1050.0053 2005 INFORMS The Economc Incentves for Sharng Securty Informaton

More information

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120 Kel Insttute for World Economcs Duesternbrooker Weg 45 Kel (Germany) Kel Workng Paper No. Path Dependences n enture Captal Markets by Andrea Schertler July The responsblty for the contents of the workng

More information

On the Interaction between Load Balancing and Speed Scaling

On the Interaction between Load Balancing and Speed Scaling On the Interacton between Load Balancng and Speed Scalng Ljun Chen and Na L Abstract Speed scalng has been wdely adopted n computer and communcaton systems, n partcular, to reduce energy consumpton. An

More information

The Pricing Strategy of the Manufacturer with Dual Channel under Multiple Competitions

The Pricing Strategy of the Manufacturer with Dual Channel under Multiple Competitions Internatonal Journal of u-and e-servce, Scence and Technology Vol.7, No.4 (04), pp.3-4 http://dx.do.org/0.457/junnesst.04.7.4. The Prcng Strategy of the Manufacturer wth Dual Channel under Multple Compettons

More information

Multi-Product Price Optimization and Competition under the Nested Logit Model with Product-Differentiated Price Sensitivities

Multi-Product Price Optimization and Competition under the Nested Logit Model with Product-Differentiated Price Sensitivities Mult-Product Prce Optmzaton and Competton under the Nested Logt Model wth Product-Dfferentated Prce Senstvtes Gullermo Gallego Department of Industral Engneerng and Operatons Research, Columba Unversty,

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

Supply network formation as a biform game

Supply network formation as a biform game Supply network formaton as a bform game Jean-Claude Hennet*. Sona Mahjoub*,** * LSIS, CNRS-UMR 6168, Unversté Paul Cézanne, Faculté Sant Jérôme, Avenue Escadrlle Normande Némen, 13397 Marselle Cedex 20,

More information

Oligopoly Theory Made Simple

Oligopoly Theory Made Simple Olgopoly Theory Made Smple Huw Dxon Chapter 6, Surfng Economcs, pp 5-60. Olgopoly made smple Chapter 6. Olgopoly Theory Made Smple 6. Introducton. Olgopoly theory les at the heart of ndustral organsaton

More information

Structural Estimation of Variety Gains from Trade Integration in a Heterogeneous Firms Framework

Structural Estimation of Variety Gains from Trade Integration in a Heterogeneous Firms Framework Journal of Economcs and Econometrcs Vol. 55, No.2, 202 pp. 78-93 SSN 2032-9652 E-SSN 2032-9660 Structural Estmaton of Varety Gans from Trade ntegraton n a Heterogeneous Frms Framework VCTOR RVAS ABSTRACT

More information

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE Yu-L Huang Industral Engneerng Department New Mexco State Unversty Las Cruces, New Mexco 88003, U.S.A. Abstract Patent

More information

Awell-known result in the Bayesian inventory management literature is: If lost sales are not observed, the

Awell-known result in the Bayesian inventory management literature is: If lost sales are not observed, the MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol. 10, No. 2, Sprng 2008, pp. 236 256 ssn 1523-4614 essn 1526-5498 08 1002 0236 nforms do 10.1287/msom.1070.0165 2008 INFORMS Dynamc Inventory Management

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

17 Capital tax competition

17 Capital tax competition 17 Captal tax competton 17.1 Introducton Governments would lke to tax a varety of transactons that ncreasngly appear to be moble across jursdctonal boundares. Ths creates one obvous problem: tax base flght.

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Network Formation and the Structure of the Commercial World Wide Web

Network Formation and the Structure of the Commercial World Wide Web Network Formaton and the Structure of the Commercal World Wde Web Zsolt Katona and Mklos Sarvary September 5, 2007 Zsolt Katona s a Ph.D. student and Mklos Sarvary s Professor of Marketng at INSEAD, Bd.

More information

The Choice of Direct Dealing or Electronic Brokerage in Foreign Exchange Trading

The Choice of Direct Dealing or Electronic Brokerage in Foreign Exchange Trading The Choce of Drect Dealng or Electronc Brokerage n Foregn Exchange Tradng Mchael Melvn Arzona State Unversty & Ln Wen Unversty of Redlands MARKET PARTICIPANTS: Customers End-users Multnatonal frms Central

More information

Pricing Internet Access for Disloyal Users: A Game-Theoretic Analysis

Pricing Internet Access for Disloyal Users: A Game-Theoretic Analysis Prcng Internet Access for Dsloyal Users: A Game-Theoretc Analyss Gergely Bczók, Sándor Kardos and Tuan Anh Trnh Hgh Speed Networks Lab, Dept. of Telecommuncatons & Meda Informatcs Budapest Unversty of

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

Cautiousness and Measuring An Investor s Tendency to Buy Options

Cautiousness and Measuring An Investor s Tendency to Buy Options Cautousness and Measurng An Investor s Tendency to Buy Optons James Huang October 18, 2005 Abstract As s well known, Arrow-Pratt measure of rsk averson explans a ratonal nvestor s behavor n stock markets

More information

Discriminatory versus Uniform-Price Electricity Auctions with Supply Function Equilibrium

Discriminatory versus Uniform-Price Electricity Auctions with Supply Function Equilibrium Dscrmnatory versus Unform-Prce Electrcty Auctons wth Supply Functon Equlbrum Talat S. Genc a December, 007 Abstract. A goal of ths paper s to compare results for dscrmnatory auctons to results for unform-prce

More information

Production. 2. Y is closed A set is closed if it contains its boundary. We need this for the solution existence in the profit maximization problem.

Production. 2. Y is closed A set is closed if it contains its boundary. We need this for the solution existence in the profit maximization problem. Producer Theory Producton ASSUMPTION 2.1 Propertes of the Producton Set The producton set Y satsfes the followng propertes 1. Y s non-empty If Y s empty, we have nothng to talk about 2. Y s closed A set

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

Buy-side Analysts, Sell-side Analysts and Private Information Production Activities

Buy-side Analysts, Sell-side Analysts and Private Information Production Activities Buy-sde Analysts, Sell-sde Analysts and Prvate Informaton Producton Actvtes Glad Lvne London Busness School Regent s Park London NW1 4SA Unted Kngdom Telephone: +44 (0)0 76 5050 Fax: +44 (0)0 774 7875

More information

Architectures and competitive models in fibre networks

Architectures and competitive models in fibre networks WIK-Consult Report Study for Vodafone Archtectures and compettve models n fbre networks Authors: Prof. Dr. Steffen Hoerng Stephan Jay Dr. Karl-Henz Neumann Prof. Dr. Martn Petz Dr. Thomas Plückebaum Prof.

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

Distributed Optimal Contention Window Control for Elastic Traffic in Wireless LANs

Distributed Optimal Contention Window Control for Elastic Traffic in Wireless LANs Dstrbuted Optmal Contenton Wndow Control for Elastc Traffc n Wreless LANs Yalng Yang, Jun Wang and Robn Kravets Unversty of Illnos at Urbana-Champagn { yyang8, junwang3, rhk@cs.uuc.edu} Abstract Ths paper

More information

What should (public) health insurance cover?

What should (public) health insurance cover? Journal of Health Economcs 26 (27) 251 262 What should (publc) health nsurance cover? Mchael Hoel Department of Economcs, Unversty of Oslo, P.O. Box 195 Blndern, N-317 Oslo, Norway Receved 29 Aprl 25;

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

When Talk is Free : The Effect of Tariff Structure on Usage under Two- and Three-Part Tariffs

When Talk is Free : The Effect of Tariff Structure on Usage under Two- and Three-Part Tariffs 0 When Talk s Free : The Effect of Tarff Structure on Usage under Two- and Three-Part Tarffs Eva Ascarza Ana Lambrecht Naufel Vlcassm July 2012 (Forthcomng at Journal of Marketng Research) Eva Ascarza

More information

A Lyapunov Optimization Approach to Repeated Stochastic Games

A Lyapunov Optimization Approach to Repeated Stochastic Games PROC. ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, OCT. 2013 1 A Lyapunov Optmzaton Approach to Repeated Stochastc Games Mchael J. Neely Unversty of Southern Calforna http://www-bcf.usc.edu/

More information

Leveraged Firms, Patent Licensing, and Limited Liability

Leveraged Firms, Patent Licensing, and Limited Liability Leveraged Frms, Patent Lcensng, and Lmted Lablty Kuang-Cheng Andy Wang Socal Scence Dvson Center for General Educaton Chang Gung Unversty and Y-Je Wang Department of Economcs Natonal Dong Hwa Unversty

More information

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent

More information

Retailers must constantly strive for excellence in operations; extremely narrow profit margins

Retailers must constantly strive for excellence in operations; extremely narrow profit margins Managng a Retaler s Shelf Space, Inventory, and Transportaton Gerard Cachon 300 SH/DH, The Wharton School, Unversty of Pennsylvana, Phladelpha, Pennsylvana 90 cachon@wharton.upenn.edu http://opm.wharton.upenn.edu/cachon/

More information

Second-Best Combinatorial Auctions The Case of the Pricing-Per-Column Mechanism

Second-Best Combinatorial Auctions The Case of the Pricing-Per-Column Mechanism Proceedngs of the 4th Hawa Internatonal Conference on System Scences - 27 Second-Best Combnatoral Auctons The Case of the Prcng-Per-Column Mechansm Drk Neumann, Börn Schnzler, Ilka Weber, Chrstof Wenhardt

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

Combinatorial Agency of Threshold Functions

Combinatorial Agency of Threshold Functions Combnatoral Agency of Threshold Functons Shal Jan Computer Scence Department Yale Unversty New Haven, CT 06520 shal.jan@yale.edu Davd C. Parkes School of Engneerng and Appled Scences Harvard Unversty Cambrdge,

More information