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Article: A tenant-mix model for shopping malls

TitleA tenant-mix model for shopping malls
Authors
KeywordsEcology
Retail management
Retail trade
Shopping centres
Issue Date2012
PublisherEmerald Group Publishing Ltd.. The Journal's web site is located at http://www.emeraldinsight.com/info/journals/ejm/ejm.jsp
Citation
European Journal Of Marketing, 2012, v. 46 n. 3-4, p. 524-541 How to Cite?
AbstractPurpose: The purpose of this paper is to develop a novel tenant mix model for shopping malls based on an analogy from ecological theories. Design/methodology/approach: This study empirically investigates the tenant species-area relationship and tenant species-abundance distribution in shopping malls. In this study, the tests on species-area relationship and species-abundance distribution in shopping malls are derived from ecological theories. Empirical tests by a sample of 18 shopping malls for the species-area relationship and of five malls for the species-abundance distribution are carried out in Hong Kong Findings: It shows that, in line with the findings of biogeography, the tenant species-area relationship follows a power law of exponent of about 0.20. Furthermore, the species-abundance distributions of the five large-scale malls are found to be closely in track with a geometric distribution as commonly found in ecology. These results imply that tenant mix strategies are governed by two principles: the number of tenant species is related to the mall size; and the shop area allocation follows a geometric distribution. Research limitations/implications: The study provides the first quantitative tenant mix model on the number of tenant species in a particular mall size, and on the tenant species abundance distribution pattern. These results provide far-reaching implications for research and practice, including a quantitative benchmarking of tenant mix strategy and an optimal design of shopping malls. Practical implications: The model is the first tenant mix model for practitioners to formulate quantitative tenant mix strategy, and evaluate the effects of tenant mix on the performance of a shopping mall. Originality/value: It is the first quantitative model for tenant mix, and would open up a novel agenda for research on tenant mix strategies. © Emerald Group Publishing Limited.
Persistent Identifierhttp://hdl.handle.net/10722/125352
ISSN
2015 Impact Factor: 1.088
2015 SCImago Journal Rankings: 0.933
SSRN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYiu, CYen_HK
dc.contributor.authorXu, SYSen_HK
dc.date.accessioned2010-10-31T11:26:19Z-
dc.date.available2010-10-31T11:26:19Z-
dc.date.issued2012en_HK
dc.identifier.citationEuropean Journal Of Marketing, 2012, v. 46 n. 3-4, p. 524-541en_HK
dc.identifier.issn0309-0566en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125352-
dc.description.abstractPurpose: The purpose of this paper is to develop a novel tenant mix model for shopping malls based on an analogy from ecological theories. Design/methodology/approach: This study empirically investigates the tenant species-area relationship and tenant species-abundance distribution in shopping malls. In this study, the tests on species-area relationship and species-abundance distribution in shopping malls are derived from ecological theories. Empirical tests by a sample of 18 shopping malls for the species-area relationship and of five malls for the species-abundance distribution are carried out in Hong Kong Findings: It shows that, in line with the findings of biogeography, the tenant species-area relationship follows a power law of exponent of about 0.20. Furthermore, the species-abundance distributions of the five large-scale malls are found to be closely in track with a geometric distribution as commonly found in ecology. These results imply that tenant mix strategies are governed by two principles: the number of tenant species is related to the mall size; and the shop area allocation follows a geometric distribution. Research limitations/implications: The study provides the first quantitative tenant mix model on the number of tenant species in a particular mall size, and on the tenant species abundance distribution pattern. These results provide far-reaching implications for research and practice, including a quantitative benchmarking of tenant mix strategy and an optimal design of shopping malls. Practical implications: The model is the first tenant mix model for practitioners to formulate quantitative tenant mix strategy, and evaluate the effects of tenant mix on the performance of a shopping mall. Originality/value: It is the first quantitative model for tenant mix, and would open up a novel agenda for research on tenant mix strategies. © Emerald Group Publishing Limited.en_HK
dc.languageengen_HK
dc.publisherEmerald Group Publishing Ltd.. The Journal's web site is located at http://www.emeraldinsight.com/info/journals/ejm/ejm.jspen_HK
dc.relation.ispartofEuropean Journal of Marketingen_HK
dc.subjectEcologyen_HK
dc.subjectRetail managementen_HK
dc.subjectRetail tradeen_HK
dc.subjectShopping centresen_HK
dc.titleA tenant-mix model for shopping mallsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0309-0566&volume=&spage=&epage=&date=2010&atitle=A+Tenant-Mix+Modelen_HK
dc.identifier.emailYiu, CY: ecyyiu@hkucc.hku.hken_HK
dc.identifier.authorityYiu, CY=rp01035en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1108/03090561211202594en_HK
dc.identifier.scopuseid_2-s2.0-84858859103en_HK
dc.identifier.hkuros175580en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84858859103&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume46en_HK
dc.identifier.issue3-4en_HK
dc.identifier.spage524en_HK
dc.identifier.epage541en_HK
dc.identifier.isiWOS:000303369000011-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.ssrn1484568-
dc.identifier.scopusauthoridYiu, CY=9248825800en_HK
dc.identifier.scopusauthoridXu, SYS=55132222500en_HK

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