Discussion Paper Number: JHD-2014-02 Discussion Paper Regional
and Product Diversification and the Performance of Retail
Multinationals March 2014 Chang Hoon Oh Beedie School of Business,
Simon Fraser University Timo Sohl IESE Business School and
University of St. Gallen Alan M Rugman Henley Business School,
University of Reading ii Oh, Sol and Rugman, March
2014Theaimofthisdiscussionpaperseriesisto
disseminatenewresearchofacademic
distinction.Papersarepreliminarydrafts,
circulatedtostimulatediscussionandcritical
comment.HenleyBusinessSchoolistriple
accreditedandhometoover100academic
faculty,whoundertakeresearchinawiderange
offieldsfromethicsandfinancetointernational business and marketing.
[email protected] www.henley.reading.ac.uk/dunning Oh,
Sol and Rugman, March 2014 Henley Discussion Paper Series Oh, Sohl
and Rugman, March 20141
RegionalandProductDiversificationandthePerformance of Retail
Multinationals Abstract
Despitetheimportanceofgeographicexpansionintheservicessector,fewstudieshave
analyzedtherelationshipsbetweeninternationaldiversification,productdiversificationand
performanceforservicesfirms.Hereweinvestigatewhetherandhowfirmsintheretail-trade
sector may benefit by spreading their boundaries within and across
regional boundaries. Using a panel data set of 68 large European
retailers from 19 countries for the period between 1997 and
2010,wefindthatintra-regionaldiversificationhasahorizontalS-curverelationshipandinter-regional
diversification has an S-curve relationship with firm performance.
Moreover, the results show that unrelated product diversification
has a negative moderating effect on the relationship
betweeninter-regionaldiversificationandfirmperformance.Overall,theseresultsaddsupport
intheservicessectorforthethree-stageparadigmofinternationaldiversificationand
performance. Keywords
retailfirms,geographicdiversification,productdiversification,regionaldiversification,
performance, S curve Contact
ChangHoonOh:[email protected],BeedieSchoolofBusiness,SimonFraserUniversity,500Granville
Street, Vancouver, B.C., V6C 1W6, Canada. Tel: 1 905 401 3137. Fax:
1 905 378 5716. Timo Sohl: [email protected], IESE Business School,
Av. Pearson 21, 08034 Barcelona, Spain. Tel: 34
936026422.Fax:34932534343.Also:[email protected],UniversityofSt.Gallen,Dufoustr.
40a, 9000 St. Gallen, Switerland. Tel: 41 71 224 2856. Fax: 41 71
224 7194. Alan M Rugman: [email protected], Henley Business
School, University of Reading,
Henley-on-Thames,Oxon,RG93AU,UnitedKingdom.Tel:44(0)1183787340.Fax:44(0)118378
6229. John H Dunning Centre for International Business 2Oh, Sohl
and Rugman, March 2014 1Introduction
OfthefirmsonthemostrecentFortuneGlobal500list,242firmsaremanufacturingfirms,111
firms are financial firms, 100 firms are services firms and 47
firms are utility firms, based on their listed main industry
sectors in 2012. The combined revenue of the 100 services firms was
$5,431 billion. Thus, the services sector makes up a substantial
part of the global economy, and its rapid growth deserves more
scholarly attention (Kundu and Merchant, 2008).
Amongthese100servicesfirms,45firmsarefromtheretail-tradesectorwithcombined
revenueof2,627billionU.S.dollars.Thesenumbersincreasedfrom40firmswhosecombined
revenuewas1,399U.S.dollarsin2003.Mostoftheseretailfirmsaremultinationalenterprises
(MNEs),buttheirinternationalfootprintisrelativelyweakcomparedtoMNEsinotherindustry
sectors(RugmanandOh,2010;CorstjensandLal,2012).AccordingtoRugmanandGirod
(2003),retailMNEsmainlyfocusontheirdomesticmarketsorhome-regionmarkets.Possible
explanationsforthishome-regionfocusarethehighcapitalintensity(RugmanandVerbeke,
2008), asset specificity and government regulations (Campbell and
Verbeke, 1994) in the retail-trade sector.
Tobothacademicscholarsandmanagers,akeyquestioninregardtoaretailfirm'srelatively
weakinternationalactivitiesiswhetherandhowitmaybenefitbyspreadingitsboundaries
within and across regional boundaries. In other words, what are the
performance implications of
intra-andinter-regionalgeographicdiversificationofretailMNEs?Previousresearchonthe
relationshipbetweeninternationaldiversification(ormultinationality)andperformance
providesimportantguidanceinansweringthiscriticalquestion.Inparticular,thethree-stage
paradigmofinternationalization(Contractor,Kundu,andHsu,2003)generalizesdifferent
argumentsandfindings,andimpliesthattheperformanceofMNEsmaydependupontheir
international trajectory.
Recentstudieshavesharpenedthetheoreticalandempiricalapproachofthethree-stage
paradigm by accommodating regional characteristics of MNEs (Li,
2005; Rugman and Oh, 2010;
OhandContractor,2012,2014).ThesestudiesfocusedonU.S.manufacturingfirmsandfound
thathome-regionexpansionimprovedtheperformanceofU.S.firms,whileforeigntriadregion
expansionreducedtheirperformance,aspredictedbythethree-stageparadigm(Contractoret
al.,2003;Contractor,2007)andregionalMNEperspective(RugmanandVerbeke,2004).Triad
regions arewell-defined geographicblocksofNorth America,Europe
andAsia-Pacific (Rugman,
2005).Thesestudiesalsoshowedtheimportanceofproductdiversificationasamoderating
effect on the relationship between international expansion and
performance. Henley Discussion Paper Series Oh, Sohl and Rugman,
March 20143
Inordertoanswertheresearchquestion,weuseinformationon68Europeanretailersforthe
periodbetween1997and2010,whichtotal385observations.WefocusonEuropeanretailers
becausetheyarethemostinternationalizedamongtheworldwideleadingretailfirms,with
comparativelyhighoperationsoutsidetheslow-growingEuropeanhomemarket(Deloitte,
2014).Still,despitetheirincreasinginternationalactivities,manyEuropeanretailersare
struggling to break even and survive in global markets (Gielens and
Dekimpe, 2007).
Whileourresultssupportedathree-stageparadigmforinternationalexpansion(Contractoret
al.,2004),theyalsoprovidedadditionalinsightsintotheinternationaldiversification-performancerelationship.Ourfindingsshowedthatintra-regionaldiversificationoflarge
EuropeanretailMNEshadahorizontalS-curverelationshipwithperformance,whileinter-regionaldiversificationhadanS-curverelationship.Moreover,theresultsindicatedthatthis
relationshipwasmoderatedbyproductdiversificationinthatunrelatedproductdiversification
had a negative moderating effectonthe relationship between
inter-regional diversification and performance in the case of
European retail MNEs. Interestingly, related product
diversification of
retailMNEsdidnothaveasignificantmoderatingeffectandintra-regionaldiversificationwas
not affected by either related or unrelated product
diversification. Thus, our study contributes to the literature in
three ways. First, we extend the existing literature that focuseson
U.S. manufacturing firms toEuropean service (retail) firms,
providing additional insight into the three-stage paradigm and
regional diversification. Second, we divide geographic
diversificationintointra-regionalandinter-regionaldiversificationandproductdiversification
intorelatedandunrelateddiversification.Third,weanalyzetheinteractionbetweenthetwo
types of geographic and product diversification.
Theremainingportionsofthispaperareorganizedasfollows.Thenextsectionprovidesa
literaturereviewanddevelopsourhypotheses.InSection3,weexplainourdataandmethod.
The empirical results appear in Section 4. In Section 5, we provide
a discussion of our results, the limitations of our study, future
research avenues and a conclusion. 2Theory and hypotheses 2.1Intra-
and inter-regional diversification
Afirmsdiversificationstrategyanditsperformanceimplicationshavebeenatthecenterof
researchinstrategicmanagement,internationalbusinessandfinancialeconomics.Thegaining
John H Dunning Centre for International Business 4Oh, Sohl and
Rugman, March 2014
importanceofthisresearchtopicisreflectedinthegrowingphenomenonoffirmsproducing
multiple lines of products and serving various geographical markets
(Kim, 1999).
Althoughtheincreasingvolumeandvalueofinternationaltradeandforeigninvestmentsover
thepastseveraldecadesareundeniablefacts,recentevidenceshowsthatthedestinationof
suchtradeandinvestmentshavebeenmostlygeographicallyboundedintohome-region
countriesandneighboringcountries(RugmanandVerbeke,2004;Ghemawat,2007).In
addition,pastresearchwasunabletoprovidestrongevidenceastowhethergeographic
boundaries of MNEs are expanding or contracting (Rugman and Oh,
2009). Thus, the majority of
MNEactivitieshaveremainedwithintheirhome-regionboundariesinthepasttenplusyears
(Akhter and Beno, 2011; Rugman, Oh, and Lim, 2012). In regard to
services or retail firms, home-region orientation is substantially
stronger than for manufacturing firms (Rugman and Verbeke, 2008).
Despiteitsimportanceforservicesfirmsintodayseconomy,fewstudieshaveanalyzedthe
relationshipbetweeninternationaldiversificationandperformanceforfirmsfromtheservices
sector.Forexample,CaparandKotabe(2003)foundaU-shapedrelationshipforGerman
servicesfirms,whileContractoretal.(2003)foundanS-shapedrelationshipforknowledge-based
services firms and a horizontal S-shaped relationship for capital
intensive services firms by
usingasampleoflargeservicesfirmsfrom12countries.UsingaregionalMNEperspective,
SukpanichandRugman(2007)andMohretal.(2014)providedevidenceoftheperformance
superiorityofhome-regionorientationforretailfirms.Li(2005)foundthatahome-region
strategy provides better performance outcomes for U.S. MNEs in
various service industry sectors, but his study excluded retail and
food service sectors.
Forservicesfirms,diversificationisassociatedwithvaluecreationorriskminimizationatthe
customerend,whileformanufacturingfirmsitisassociatedwithknowledgeadoptionorcost
minimizationattheproductionend(RugmanandVerbeke,2008).Thus,customer
characteristicsareimportantdeterminantsingeographicdiversificationdecisionsofservices
firms,supportingthenatureofhome-regionorientationintheservicessector.Inorderto
considerthesimilaritiesanddifferencesofsuchdemand-basedcharacteristics,wedivided
geographicdiversificationintotwoaspects:intra-regionalandinter-regionaldiversification.
Intra-regionaldiversificationreflectsafirm'sdiversificationtoothercountrieswithinitshome
triadregion,whereasinter-regionaldiversificationisitsdiversificationtoconsumermarkets
outsideofitshometriadregion.Recentstudies(Qianetal.,2010;Qian,Li,andRugman,2013)
haveanalyzedtheeffectofintra-andinter-regionaldiversificationonasampleofU.S.-and
Canada-basedfirms.Forexample,usingasampleofU.S.-basedmanufacturingfirms,Qianetal.
Henley Discussion Paper Series Oh, Sohl and Rugman, March 20145
(2010)foundalinearpositiveeffectofintra-regionaldiversificationonperformanceandan
invertedU-shapedrelationshipbetweeninter-regionaldiversificationandperformance.
However,thesestudiesneitherfocusedonservicesMNEsnoronEuropeanfirms.Moreover,
thesestudiesdidnotexaminehowproductdiversificationmaymoderateperformance
implications of intra- and inter-regional diversification.
Inthisstudy,wefocusonretail-tradewithintheservicesectorandarguethatimportant
differencesexistbetweentheinternationalizationofmanufacturingandretailfirms.For
example,whilemanufacturingfirmsareabletointernationalizesalesbyexportingproductsto
foreign markets, retail firms need to significantly invest into the
development of a store network to achieve sales in foreign markets.
Building a network of retailstores involves activitiessuch as
selectingandmanaginglocalrealestate,suppliers,humanresourcesandlogisticschannels.
Moreover,retailfirmsneedtodevelopadeepunderstandingofshoppingbehaviorsinforeign
markets,beyondpurelyproduct-relatedconsumerpreferences.Asthisprocessinvolves
considerable investments and learning processes, retail firms
typically need several years before
theycanreachbreak-evenvolumesinforeignmarkets(CorstjensandLal,2012).Previous
researchhassuggestedthatfewretailerssucceedinachievingsimilarprofitmarginsin
internationalmarketswhencomparedtotheirhomemarkets(GielensandDekimpe,2007).By
distinguishingbetweenintra-andinter-regionaldiversification,wedescribethepotential
performance implications of retail internationalization in more
detail.
Whenaretailfirmdiversifiesitsoperationsacrosscountrieswithinitshome-regionmarket,it
maybeabletoquicklylearnaboutnewconsumerneedsandshoppingbehaviorsduetotheir
similaritiestodomesticconsumerbehaviors.Accordingtotheinternationalizationprocess
theory(JohansonandVahlne,1977),aservicesfirmfirstentersintofewkeymarketsthatare
culturally,geographically,economically,andpoliticallyclosetoitshomemarket.Inaddition,
productstandards,consumertastesandsuppliercharacteristicsinsuchcountriesdonotmuch
differfromthoseinthefirmshomecountry.Thus,theretailfirmdoesnotneedtoextensively
changeitsbusinessmodelandmayevenusethesamesuppliersasinitsdomesticmarket.
Indeed,theretailerwillachievecriticalsuccessfactors,suchaseconomiesofscalein
procurement and low transportation and coordination costs. Further,
since the firm's entry into
home-regioncountriesistypicallyearlierthanitscompetitorsfromforeignregions(Ohand
Rugman,2007),itlikelyenjoysafirstmoveradvantage.Thesebenefitsleadtoapositive
performance effect at the beginning stage of a retailer's
intra-regional diversification.
Whenaretailfirmfurtherdiversifiesintoadditionalcountriesinitshome-region,itmust
coordinate its operations in these countries, requiring extra
administrative costs. If the retail firm John H Dunning Centre for
International Business 6Oh, Sohl and Rugman, March 2014
decidestoexpanditsoperationsintoafewkeyforeigncountriesinwhichitoperatedinitially,
then it needs to start building its own supply chain in each
foreign market due to the growth of
itsoperationsize.Thus,itseconomiesofscaleshouldbeconsideredseparatelyineachcountry
(e.g.,Hennart,2007),althoughitstillshareseconomiesofscopeinthehome-region.These
factorsmayleadtonegativeperformanceeffectsinthesecondstageofintra-regional
diversification. In the last stage of intra-regional
diversification, a retail firm may reach a critical size for its
store
networkoperationsineachcountry.Eachlocalmarketstartsgainingitsownscalebenefitsina
retailer'ssourcing,logisticsandmarketingactivities.Theadditionaladministrativeand
marketing costs may be offset by economies of scale. At this stage,
the retail firm finds the most
efficientandreliablesuppliers,integratesthemandachievesaregionalsupplychainnetwork
(Doner,1991;Rugman,Li,andOh,2009).Retailersmaybeabletobuild,integrate,and
reconfigure various resources located in proximate countries and
transfer and leverage them to
countriesinthehome-region(Qianetal.,2008;Qianetal.,2010).Thesebenefitsturnintoa
superior performance. Thus, we hypothesize as follows.
Hypothesis1:Intra-regionaldiversificationofretailfirmhasahorizontalS-curvefit
relationship with the firms performance.
Theperformanceimplicationsofinter-regionaldiversificationaredifferentfromthatofintra-regionaldiversification.Atthebeginningstageofinter-regionaldiversification,aretailfirmwill
servenewcustomerswhosecharacteristicsaresubstantiallydifferentfromthoseoftheir
existingcustomersinthehomecountryorregion.Theretailfirmwillfaceaconsiderably
differentsetofcompetitorsandmaysufferfromlatecomerdisadvantages.Inordertoserve
these different markets, the companymayneed to utilize
verydifferent kinds of storenetworks
thanthoseusedinthehome-regionduetointer-regionalvariationsinshoppingbehaviorsand
infrastructures(e.g.,Gereffi,1999;Qian,Li,andRugman,2013).Developingsuchanewstore
networkrequiresadditionalcosts.Yet,theeconomiesofscalemaynotoffsetsuchcosts.
Although the retail firm will likely choose few, large, key
countries in foreign regions, it needs to
recombineitsexistingpartnersandnewpartnersinitssupplychain.Therecombinationwill
increasetransportationandadministrativecosts.Thus,theretailerwillsufferfromthese
negative aspects of foreignness and newness.
Inthelaterstageofinter-regionaldiversification,asthesizeoftheoperationineachcountry
grows,theretailfirmmaystartbenefitingfromeconomiesofscaleinprocurementandsales.
Henley Discussion Paper Series Oh, Sohl and Rugman, March 20147
Sourcingfromlocalsupplierswillenabletheretailertoreducetransportationandfactorcosts,
improveresponsetime,andlowerseveraltradebarriersinforeignoperations(Kogutand
Kulatilaka,1994;Arntzenetal.,1995).Inaddition,theretailfirmwillreceivebenefitsfrom
productandindustrylifecycles,whichenableittoefficientlyuseitsinventories.Atthisstage,
therefore,thefirm'sperformancemayimproveascomparedtothebeginningstageofinter-regional
diversification. In the last stage of inter-regional
diversification, the retail firm has to control and coordinate its
extensively dispersed worldwide operations. Global competitiveness
is hard to achieve (Rugman et al., 2012). Although a retailer may
be able to find the most efficient suppliers and build a new
supplychainnetwork,itwillnotlikelyimplementglobalsupplychainintegrationduetohigh
transportationcostsbetweentriadregionsanddifferentregulationsandbusinesspractices
across regions (Li, 2005; Oh and Rugman, 2011). Thus, the supply
chain network and distribution
systemswillbeorganizedandcontrolledthrougheachregionalheadquarters,requiring
additionaladministrativecosts.Inaddition,duetodecreasingmarginalreturnstoscale,the
scalebenefitsinthisstagearenotsignificantlyhigherthanthoseinthepreviousstage.Thus,
overallperformanceinthelaststagewilldecline.Combiningtheperformanceimplicationsof
each stage of inter-regional diversification, we hypothesize as
follows. Hypothesis 2: Inter-regional diversification of retail
firm has an S-curve fit relationship with the firms performance.
2.2Moderating effects of product diversification
TallmanandLi(1996)developedatheoreticalframeworkthatsuggeststhatthesimilaritiesof
geographicandproductdiversificationsproposepotentialinteractioneffectsonafirm's
performance.Accordingly,severalstudieshaveinvestigatedtheinteractionsbetween
geographicandproductdiversifications(e.g.,TallmanandLi,1996;Hitt,Hoskisson,andKim,
1997;Geringer,Tallman,andOlsen,2000;SukpanichandRugman,2007;OhandContractor,
2012, 2014). While the results in the existing studies are
inconsistent, a study by Sukpanich and
Rugman(2007),whichiscloselyrelatedtothispaper,foundthathigherlevelsofhome-region
salesenhancethepositiveimpactofproductdiversityontheperformanceoflarge
merchandizers.Previous research referred to a retail format based
on its specific product assortment and service offering, store
design, and location, aiming to match specific consumer segments
and shopping
situations(e.g.,Gonzales-Benito,Munoz-Gallego,andKopalle,2005).Accordingly,Keep,
John H Dunning Centre for International Business 8Oh, Sohl and
Rugman, March 2014
HollanderandCalantone(1995)arguedthatintheretail-tradesector,productdiversification
indicatesthataretailfirmhasdiversifiedacrossretailformats.1Overthepastdecades,most
worldwide leading retailers have started to diversify their retail
formats, indicating that retailers market an increasingly
diversified portfolio of product lines (Deloitte, 2014).
Wearguethatproductdiversificationofaretailfirmdoesnotrequiresubstantialcoordination
andcontrolcostswhenthefirmdiversifiesitsretailformatswithinitshome-region.Thisis
becausegeographic,cultural,economic,andinstitutionalproximitywithinthehome-region
enablesaretailertoefficientlytransferitsknowledgeandcapabilitiesfromoneretailformatto
theothersandexploitmarketinefficiencyandconsumertrendsthroughretailformat
diversification(e.g.,KediaandBhagat,1988).Thus,experientialknowledgefromaretailformat
ismorevaluablewhenitappliestootherretailformatswhenmarketcharacteristicsaresimilar
withthoseofexistingones(Barkema,Bell,andPennings,1996;KostovaandRoth,2002).In
addition,geographicadjacencyprovidesmoreopportunitiestocreateintensiveinteractions,
which are required when a firm diversifies its product lines (Jones
and Hill, 1988). Economies of
scaleandscopeinprocurementandlogisticscanimproveafirm'sbenefitsinproduct
diversificationthrougharegionallyintegratedsupplychaininitshome-region.Indeed,product
diversificationmayincreasethemonopolypoweroflargeretailersintheirhome-region.
Therefore,productdiversificationstrengthensthepositivebenefitsofintra-regional
diversification. Specifically,
Hypothesis3:Productdiversificationhasapositivemoderatingeffectonthe
relationship between intra-regional diversification and
performance, in a way that it hardens the positive slopes and
softens the negative slope in the horizontal S-curve
fit.Whenaretailermarketsitsretailformatportfolioindistantforeignregions,theretailermay
sufferfromincreasedcomplexityintheformofaddedcoordinationandmarketingcosts.In
addition, increasing differences between existing and new markets
may make the firm unable to use learning benefits from experiences
in existing markets because accumulated knowledge is a
location-boundcapability(Li,2005).Thus,eachnewretailformatmayrequiresubstantial
1Intheretail-tradesector,productmarketswithintwo-digitStandardIndustrialClassification(SIC)
industry groups are classified by retail formats. For example, the
two-digit industry "food stores" (SIC 54)
encompassesretailformatssuchconveniencestores,supermarkets,hypermarketsandsuperstores.
Moreover,inthetwo-digitnon-foodretailindustries,productmarketsareclassifiedbyretailformats
suchasdepartmentstores(withinSIC53"generalmerchandisestores"),clothingstores(withinSIC56
"apparelandaccessorystores")andconsumerelectronicsstores(withinSIC57"homefurniture,
furnishings and equipment stores"). Henley Discussion Paper Series
Oh, Sohl and Rugman, March 20149 market research in each foreign
region. Further, retail format diversification increases the level
of
competitionandnumberofcompetitorsinforeignregions(GreenwaldandKahn,2005).In
general,becauseincumbentdomesticorhome-regionretailershavealreadyachievedhigher
levels of economies of scale and scope as first movers
(Bhattacharya and Michael, 2008), it is not
easyforlatemoverstoachievesuchscaleandscopeeconomiesinforeignregions.Therefore,
product diversification aggravates the negative effects of
inter-regional diversification. Hence,
Hypothesis4:Productdiversificationhasanegativemoderatingeffectonthe
relationship between inter-regional diversification and
performance, in a way that it hardens the negative slopes and
softens the positive slope in the S-curve fit. 3Methodology
3.1Sample and data
Inordertotestthesehypotheses,weobtainedpaneldataon68leadingEuropeanretailfirms
over a time period of 14 years (1997 2010) from the database of
Planet Retail, a leading private retail research
company.2Specifically, based on Planet Retail's ranking lists of
1997 and 2010, we
extractedpaneldataonthelargestEuropeanretailfirmsforwhichprofitabilitydatawere
available.ThePlanetRetaildatabasehasalsobeenusedbypreviousresearchtoinvestigate
topics of international diversification in the retail-trade sector
(e.g., Gielens and Dekimpe, 2007; Gielens and Dekimpe, 2001; Mohr
et al.,
2014).Oursampledfirmsoriginatefrom19Europeancountriesindifferentretailindustries.For
example,oursampleincludedleadingEuropeanretailfirms,suchasFrance-basedCarrefour,
Netherlands-basedAhold,andU.K.-basedTescoforsupermarketsandhypermarkets;Spain-basedInditex,Sweden-basedH&M,andIreland-basedPrimarkforclothingstores;andSweden-based
IKEA, U.K.-based Kingfisher, and Germany-based Hornbach for home
and garden stores. Of
thesampledfirms,26%originatedfromtheU.K.,9%fromSweden,7%fromGermanyandthe
remainder from countries such as Croatia, France or Italy.
Moreover, 60% of these firms had their core business in food retail
(e.g., convenience stores, supermarkets and hypermarkets), while
the
remainderhadtheircorebusinessinnon-foodretail(e.g.,consumerelectronics,homeand
garden stores, and department stores).
2 http://www1.planetretail.net/ John H Dunning Centre for
International Business 10Oh, Sohl and Rugman, March 2014
3.1.1Dependent variable We used return on sales (ROS) as a
performance measure. In accordance with previous studies of
firmsintheservicessector(e.g.,CaparandKotabe,2003;Contractoretal.,2003;Mohretal.,
2014),wechoseROSmainlyduetodataavailability.Asthefirmsinoursamplehavedifferent
capitalstructuresandtaxrequirementsthatvaryacrosstheirhomecountries,wecomputed
ROSbytakingafirm'searningsbeforeinterestsandtaxes(EBIT)dividedbyitsnetsales.We
lagged the ROS data by one year (t + 1) to facilitate causal
inference (Lu and Beamish, 2004). 3.1.2Independent variables We
operationalized geographic diversification in several ways. First,
following previous research,
wecalculatedafirm'sforeigntototalsalestooperationalizeitsdegreeofinternational
diversification (e.g., Geringer, Beamish, and daCosta, 1989).
Second, we calculated a firm's
home-regiontototalsalestooperationalizeitsdegreeofdiversificationwithintheEuropeanhome-region(e.g.,OhandRugman,2010).Third,wecomputedinternationaldiversificationusingthe
entropyindex(e.g.,Vachani,1991;Hittetal.,2006).Theentropyindexof(total)geographic
diversification is expressed by the following equation: Geographic
diversification = 1ln(1/ )Ni iiP P
wherePi=proportionofsalesincountryiforafirmwithoperationsinNdifferentcountries.
Accordingly, the entropy measure captures a firms degree of
geographic diversification in terms
ofbreath(i.e.,numberofforeigncountries)anddepth(i.e.,relativeimportanceofeachforeign
country).Fourth,wemeasuredintra-regionaldiversification(home-regionaldiversification)using
the entropy index. Intra-regional diversification captures a firms
degree of diversification across
countrieswithintheEuropeanhome-region.Finally,weoperationalizedafirm'sdegreeof
inter-regionaldiversification.Inordertoclassifygeographicalregions,wefollowedRugmans(2005)
triad region classification. We then calculated inter-regional
diversification by using the entropy index on a firm's
diversification across these regions. Figure 1 shows changes in
intra- and
inter-regionaldiversificationforoursampledfirms,asmeasuredbytheentropyindex.AsFigure1
illustrates, European retail firms tended to spread their store
operations throughout their
home-region,Europe,between1997and2010,whiletheirextentofinter-regionaldiversification
remained relatively unchanged.
Followingpreviousresearch,weoperationalizedproductdiversificationusingtheabove
describedentropyindex(JacqueminandBerry,1979;Palepu,1985).Specifically,we
operationalizedretailfirms'productdiversificationinthreeways.First,sincetheretailformats
Henley Discussion Paper Series Oh, Sohl and Rugman, March 201411
reported in the Planet Retail database correspond to product
markets in the Standard Industrial
Classification(SIC)system,wemeasuredafirm's(total)formatdiversificationbycapturingits
diversificationacrossretailformats,suchassupermarkets,electronicssuperstoresandclothing
stores. Second, since Planet Retail also provides data on a
retailer's percentage of food and
non-foodproductsales,wemeasuredafirm'sdegreeofassortmentdiversificationbycapturingits
diversification across food and non-food products. Third, we
distinguished between related and
unrelatedformatdiversification.Followingpreviousresearch,wecalculatedaretailfirm's
unrelatedformatdiversificationacrosstwo-digitSICgroups,suchasgeneralmerchandisestores
(SIC53),foodstores(SIC54)andapparelandaccessorystores(SIC56).Relatedformat
diversificationwasthencomputedasthedifferencebetweenaretailfirm'stotalformat
diversificationandunrelatedformatdiversification(Palepu,1985).Finally,wemean-centered
theintra-andinter-regionaldiversificationas
wellasourproductdiversificationvariableswhen we calculated the
interaction terms (Aiken and West, 1991). 3.1.3Control variables
Consistent with previous studies (e.g., Mayer and Whittington,
2003; Wan and Hoskisson, 2003; Qian et al., 2010), we used several
firm- and home country-specific control variables in order to
addressalternativeexplanationsforourresults.First,wecontrolledforfirmsizeusingthe
logarithmofafirm'ssales.Second,wecontrolledforfirmgrowthbycomputingafirmsannual
sales growth.3 Third, in order to account for differences in
investments between small and large
chainstoreretailers,wefollowedGielensandDekimpes(2001)exampleandcomputedfirm
efficiency by taking a retail firm's sales over investments (i.e.,
sales per unit of selling area). Fourth,
wecontrolledforretailindustrysizepercapitaandretailindustrygrowthinaretailershome
country.Weobtainedthishomecountry-specificdatafromtheEuromonitordatabase.Fifth,we
includeddummyvariablesforeachyearinordertocontrolforunobservedseasonaland
macroeconomictrendsintheeconomy.Finally,wewerealsointerestedinaccountingforfirm-specific
resources that are difficult to approximate with control variables.
Therefore, we decided
touseafirmfixed-effectsmodelforcoefficientestimation.Thefixed-effectsmodelconsiders
unobserved heterogeneity across sampled firms.
3 For our robustness checks, we alternatively used the selling
area in square meters as firm size and annual
growthofthesellingareaasfirmgrowth.Theresultsshowedthatourkeyfindingswererobusttothis
alternative measures. John H Dunning Centre for International
Business 12Oh, Sohl and Rugman, March 2014 3.2Model
Theequationexplainingtherelationshipbetweeninternationaldiversificationandfirm
performance is expressed as: Yit = + Xit + Zit + i + it where Yit
is the vector of performance observations for firm i (i = 1,,68)
and time t (t = 1,,14); Xit is the vector of the international and
product diversification measures and their interactions;
andZitisthevectorofthecontrolvariables.Furthermore,i+itistheresidualwithi
asthe
fixed-effectthatdiffersbetweenfirms,butisconstantovertimeforeachsinglefirm.Thus,the
fixed-effects model relates changes in profitability (ROS) for a
given retail firm to changes in the
independentandcontrolvariablesforthesamefirm.Wealsoestimatedarandom-effects
model,buttheHausmanspecificationtestwassignificant,suggestingthatthefixed-effects
model should be preferred to obtain consistent coefficient
estimates. 4Results Table 1 illustrates the descriptive statistics
and Pearson correlations for the variables used in our study. The
descriptive statistics show that, on average, the sampled firms
achieve less than 9% of
theirsalesoutsidetheirhome-region,indicatingthatcross-regionalmovesarestillrareamong
Europeanretailfirms.Allofthecorrelationcoefficientsbetweenexplanatoryvariablesusedin
ourregressionswerebelowtherecommendedthresholdof0.8(MasonandPerreault,1991).
Moreover,weperformedpooledestimationsofourmodelsinordertocalculatethevariance
inflationfactor(VIF)andfoundthatthemaineffectsandcontrolvariableshadaVIFlowerthan
thesuggestedcriticallimitof10.OurresultsrevealedthatthemodelVIFsassociatedwithour
independentvariablesdidnotexceed2.8andtheVIFsofthe
individualvariabledidnotexceed
5.4.4Thus,weconcludedthatmulticollinearitywasnotasignificantconcernbetweenour
variables.
Table2showsourresultsforHypotheses1and2.Inordertochecktheconsistencyofour
results,wefirsttestedourmodelwithforeigntototalsalesasameasureofgeographic
diversification. Column 1 of Table 1 shows an S-curve fit between
geographic diversification and
performance(ROS),whichsupportstheseminalfindingofthethree-stageparadigmof
internationalization(Contractoretal.,2003).InColumn2ofTable1,weusedhome-regionto
totalsalesandfoundahorizontalS-curvefit,whichsupportstheregionalnatureofgeographic
4TheVIFsweretestedforallofthemodelsinTables2and3,includingtheinteractionmodels.When
calculating the VIFs, we did not take into account the quadratic
and cubic terms. Henley Discussion Paper Series Oh, Sohl and
Rugman, March 201413 diversification and performance relationship
(Rugman and Oh, 2010). We note here that
home-regiontototalsalesincludesdomesticsalesandthatthefindingofhome-regiontototalsales
(horizontalS-curve)shouldbeoppositefromthefindingofforeigntototalsales(S-curve).In
Column3,weusedtheentropymeasureofglobaldiversification(Vachani,1991)andallofthe
diversification variables were insignificant. In Column 4 of Table
2, we included the intra-regional and inter-regional
diversification variables and their quadratic and cubic terms to
test our Hypotheses 1 and 2. The results showed that the
lineartermoftheintra-regionaldiversificationvariablewaspositiveandsignificant(=0.061,
p