Modelling inter-firm competitive rivalry in a port logistics cluster: a case study of Melbourne, Australia

DOIhttps://doi.org/10.1108/IJLM-01-2021-0053
Published date10 January 2022
Date10 January 2022
Pages455-476
Subject MatterManagement science & operations,Logistics
AuthorAmanpreet Singh,Prem Chhetri,Rajiv Padhye
Modelling inter-firm competitive
rivalry in a port logistics cluster:
acasestudyofMelbourne,Australia
Amanpreet Singh
College of Vocational Education, RMIT University, Melbourne, Australia
Prem Chhetri
School of Business IT and Logistics, RMIT University, Melbourne, Australia, and
Rajiv Padhye
School of Fashion and Textiles, RMIT University, Melbourne, Australia
Abstract
Purpose The paper models the effect of spatial clustering on various dimensions of inter-firm competitive
rivalry among port logistics firms using Porters five forces model.
Design/methodology/approach A survey-based quantitative approach is adopted to collect data from
logistics firms, which are directly or indirectly dependent on the Port of Melbourne in Australia. A structural
equation modelling (SEM) technique is used to examine the theorised relationships between various
dimensions of inter-firm competitive rivalry and the tendency of spatial clustering of logistics firms in the
vicinity of Port of Melbourne.
Findings The results indicate that the inter-firm competitive rivalry increases significantly when logistics
firms are spatially clustered. This effect is further augmented when they cluster around the port. Co-location of
firms near the port tends to increase bargaining power of buyers, whilst indirectly affecting competitive
rivalryvia threats of substitutes. This indicates that co-location enhances the bargaining power of buyers
through the greater availability of substitute services that in turn promotes competitive rivalry among firms.
However, co-location has an insignificant effect on barriers to entryand bargaining power of suppliers. Low
entry barrier thus favours high competitive rivalry among firms. Hence, this paper validates the Porters
cluster and five forces models that confirm the positive effect of port logistics clusters (PLCs) on bargaining
power of buyers and indirect effect on competitive rivalry partially mediated through threats of substitutes.
Practical implications This study provides empirically grounded evidence for firms to evaluate
co-location decision choices and help buyers and sellers to devise business strategies to enhance inter-firm
competitive rivalry and bargaining power.
Originality/value This is the first systematic attempt to empirically validate Porters five forces model in
the context of PLC. Furthermore, the conceptualisation of PLC concept both as spatial and functional
constructs (i.e. dependency on port) is novel. This study thus has broadened the meaning of cluster from a
geographic entity to a more useful functional construct to reflect inter-firm dependencies.
Keywords Logistics cluster, Competition, Agglomeration, Inter-firm network, Port centric logistics
Paper type Research paper
1. Introduction
Port logistics clusters (PLCs) are increasingly becoming global, strategically inter-connected and
functionally nodal to seamlessly integrate geographically fragmented supply chains. Logistics
clusters are spatial agglomerations of interconnected and interdependent logistics firms that
collaborate and compete within the globalised marketplace (Sheffi, 2013;Singh, 2020). The
advent of globalisation and the concomitant geographic dispersion of production activities has
enabled logistics firms to relocate closer to key intermodal hubs and growth centres to gain
location-b ased benefits along major t rade routes (Pettit and Beresford, 2009).
The effect of
spatial
clustering
455
This paper forms part of a special section Resilient supply chains through innovative logistics
management, guest edited by Peggy S. Chen and Jiangang Fei.
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/0957-4093.htm
Received 27 January 2021
Revised 2 August 2021
26 October 2021
Accepted 10 December 2021
The International Journal of
Logistics Management
Vol. 33 No. 2, 2022
pp. 455-476
© Emerald Publishing Limited
0957-4093
DOI 10.1108/IJLM-01-2021-0053
The growingimportance of PLC is attributed to theirgeostrategic locations to helpenhance
operational efficiency and resource utilisation (Rodrigue et al.,2016). Maritime clusters in
Rotterdam, Dubai, Singapore and Shanghai; logistics clusters in Memphis, Antwerp and
Zaragoza; and industrial clusters inHollywood, Northern Italy, California and Manhattanare
widely known production or service clusters of global significance. This phenomenon of
geographic clustering of firms is explained by the classical theories, such as economies of
agglomeration (Marshal, 1890), the localisation of economies through to industrial complexes
(Isard,1975) and innovation milieu(Maillat et al., 1993). Morerecently, Porter (2000) arguesthat
the success of an industry cluster lies in the broader context of competition and competitive
strategy in a globalised economy. Although globalisation has contributed to geographic
dispersionof the production network, nonetheless,the location is still one of the key driversof
inter-firm competitive rivalry.
Inter-firm competitive rivalry is a local phenomenon where geographical distance has a
greater influence on market dynamics and firm behaviour. Co-location of logistics firms within a
cluster is more likely to enable better and efficient utilisation of resources through increased
inter-firm competitive rivalry (Sheffi, 2013;Chhetriet al., 2014;Singh et al., 2016). Co-located firms
will have a better opportunity through observability and availability to compare cost
effectiveness within a clustered ecosystem. Through observability, firms will be much more
noticeable due to closer spatial proximity. Information and resources may also become readily
accessible and available for firms in a business cluster when compared to an isolated location.
Further, inter-firm competitive rivalry within a cluster may also create internal downward
pressure on firms to reduce cost through improved resource utilisation. In addition, closer spatial
proximity of firms provides conducive business conditions for frequent interaction s and closer
monitoring through collaborative work practices, relationship building between suppliers and
buyersand building trust(Tallman et al., 2004). This symbiotic busin essenv ironmentfacilitates
firms to collaborate and share resources to expand the market and improve operational
efficiency (e.g. full-truck load).
The spatial dispersion of production activities due to higher production cost, trade
liberalisation and the broader effects of globalisation has resulted in a greater spatial
concentration of logistics activities in strategic locations in Australia. This sp atial clustering of
logistics services creates operational efficiency by seamlessly connecting the local market with
global production networks (Chhetri et al., 2014). Sheffi (2013) identified thisbehaviour whenthe
firms work within geographic proximity and near to the major transport hubs, such as ports,
airports, major rail or road networks (Sheffi, 2013). This spatial arrangement may lead to
operational efficiencies, innovation opportunities and higher productivity that are driven by
high inter-firm competition and collaboration (Sheffi, 2013;Chhetriet al., 2014;Rivera et al., 2014;
Singh et al.,2016).How ever, there is scant evidence that empirically supports this argument in
the context of the port.
Spatial clustering of firms promotes the coexistence of both inter-firm competitive rivalry
and collaboration (Porter, 1998). Co-location enables firms to be more competitive in an
environment created by intense inter-firm rivalry and collaborative practices. Although there
is an assumption that localisation stimulates both inter-firm collaboration and competition,
yet, most studies have paid attention to collaboration benefits, such as offering value-added
services, career mobility, trust-building and sharing of resources and information (S
olvell
et al., 2003;Li and Geng, 2012;Sheffi, 2013;Rivera Virg
uez, 2014;Rivera et al., 2014), whilst the
probing of competitive rivalry is largely neglected until recent years.
Hence, this study aims to examine whether port logistics firms exhibit higher inter-firm
competitive rivalry when clustered within the geographic proximity of port than those that
are located away from the port. The geographic proximity of the firms to the port in this study
refers to the spatial co-location of firms operation near or at a distance from the port. To
accomplish this aim, the following two key questions are set out in this study:
IJLM
33,2
456

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