23873 Ergebnisse
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In: Environmental science and pollution research: ESPR, Band 30, Heft 10, S. 26218-26233
ISSN: 1614-7499
In: Materials and design, Band 182, S. 108062
ISSN: 1873-4197
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 128, S. 52-60
ISSN: 1090-2414
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 80, S. 1-5
ISSN: 1090-2414
In: Materials and design, Band 229, S. 111892
ISSN: 1873-4197
In: Environmental science and pollution research: ESPR, Band 27, Heft 10, S. 10415-10424
ISSN: 1614-7499
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 162, S. 17-28
ISSN: 1090-2414
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 72, Heft 5, S. 1587-1593
ISSN: 1090-2414
In: Materials and design, Band 244, S. 113115
ISSN: 1873-4197
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 75, S. 213-222
ISSN: 1090-2414
In: Peart, NS, Protecting Children's Interests in Relationship Property Proceedings, Otago Law Review 13(1), pp 27-55 [2013].
SSRN
In: European review of contract law: ERCL, Band 9, Heft 4
ISSN: 1614-9939
In: Materials & Design, Band 47, S. 557-565
In: Peart, NS, Henaghan, M and Kelly, G, Trusts and relationship property in New Zealand, Trusts and Trustees 17 (9), pp 866-882 (2011)
SSRN
In: The journal of business & industrial marketing, Band 15, Heft 7, S. 491-506
ISSN: 2052-1189
Although many authors examine relationships, few attempt to classify alternative structures. In this research a relationship strength construct is developed to distinguish among alternative relationship structures based on a key mediating variable set derived from an assessment of the dominant behavior process and economic content variables underlying important buyer‐seller relationships. Results using a cluster analysis procedure based on a sample of 200 industrial company respondents from the UK engineering, electronic and telecommunications sectors support the classification. This allows us to discriminate between four relationship structures in main buyer‐supplier relationships, which are labeled: bilateral, recurrent, dominant partner, and discrete. Such a classification can provide managers with a mechanism for analyzing and planning for the development of their inter‐firm relationships.