Search results

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

One of the several claims that Seligman makes for Rooke is that he should be accorded priority in the discovery of the correct, that is Ricardian, doctrine of rent:there seems little doubt that the doctrine of rent was developed practically simultaneously by Malthus, West, Torrens and Rooke in 1814, but so far as the priority of actual publication is concerned, the above list should be reversed. And in the interests of historical accuracy, Rooke and Torrens must hereafter be accorded the position which they deserve. (Seligman, 1903, p. 512)¹

The purpose of this paper is twofold. First, the author aims to explore if there is a curvilinear relationship between the network rent, generated as a combination of the relational performance of two dyads and the network profile of the triadic supply chains. Second, the author seek to recognize the ideal network profile, consisting of the properties at the node and relationship level, that provides the highest network rents, and thus enables to increase the competitive advantage of supply chains.

The paper opted for an exploratory study using a survey of triads forming supply chains. In order to reveal the capability of yielding the network rent in the examined triads, multiple regression analysis with interaction effects was employed. Having confirmed the existence of supernormal profit, the author investigated the relationship between the network rent and the network index. Finally, a cluster analysis was conducted to compare the network profile in the group of triads generating higher network rents with the cluster yielding relatively lower network rents.

The obtained findings show that a combination of the relational performance of two dyads contributes to generating the network rent, and thus ensures a more favorable competitive position of supply chains. The results of the study also indicate that there is a significant curvilinear, inverted U-shaped relationship between the network profile and the competitive advantage of triadic supply chains. In addition, the following network properties appear to be particularly important for yielding higher network rents: network centrality, betweenness, network density and network size.

The study contributes to the theory by testing if the network rent can be yielded as a combination of the relational performance of two dyads in the triadic supply chains. The research also indicates that there is a curvilinear relationship between the network rent and the network profile of examined supply chains. Moreover, the study also addresses the link between the network profile, consisting of the multiple network properties simultaneously, in relation to the competitive advantage of supply chains.