An empirical analysis of maritime cluster evolution from the port development perspective – Cases of London and Hong Kong

Zhang, Wei; Lam, Jasmine Siu Lee

doi:10.1016/j.tra.2017.05.015

Cited by 39 publications

(31 citation statements)

References 28 publications

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“…The Lotka-Volterra (L-V) model proposed by Vito Volterra in the early 20th century has long been used to characterize population dynamics of ecological competitors and in the past few decades has been widely introduced to simulate connections between two species [1][2][3]. In the latest century, the L-V model has been widely introduced into social science fields to explore the evolution of strategies when two participants decide between two choices, such as for technological substitution [4][5][6][7], diffusion and competition analysis of the TV and smart phone industries [8], interaction effects between two retailers' competing formats [9], feasibility of using low carbon energy to reduce fossil fuel consumption [10], forecasting the intensity of retailers' competition [11], maritime cluster development [7], armed confrontation [12], and competition in the knowledge diffusion market [13]. Currently, some researchers have shown that an L-V model equation for n-1 species is equivalent to a replicator equation in an evolutionary game for n strategies to create a linkage between the evolutionary game and a fundamental equation of theoretical ecology [14,15].…”

Section: Introductionmentioning

confidence: 99%

An Improved Lotka–Volterra Model Using Quantum Game Theory

Huang

Delang

et al. 2021

Mathematics

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Human decision-making does not conform to the independent decision-making hypothesis from classical decision-making theory. Thus, we introduce quantum decision-making theory into the Lotka–Volterra model (L–V model), to investigate player population dynamics while incorporating the initial strategy, game payoffs and interactive strategies in an open social system. Simulation results show that: (1) initial strategy, entanglement intensity of strategy interaction, and payoffs impact population dynamics; (2) In cooperative coexistence, game players mutually exceed the initial environmental capacity in an open system, but not in competitive coexistence; (3) In competitive coexistence, an initial strategy containing an entanglement intensity of strategies plays a vital role in game outcomes. Furthermore, our proposed model more realistically delineates the characteristics of population dynamics in competitive or cooperative coexistence scenarios.

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Section: Introductionmentioning

confidence: 99%

An Improved Lotka–Volterra Model Using Quantum Game Theory

Huang

Delang

et al. 2021

Mathematics

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“…Ports have been in the centre of the attention in more recent studies examining maritime clusters. Characteristic is the study of Zhang and Lam (2017), who examined the role of ports in maritime cluster development, using the cases of London and Hong Kong. Similar works focusing on different aspects of cluster on different locations around the globe are present such as, Panama (Pagano et al, 2016), Canada (Doloreux et al, 2015), Malaysia (Othman et al, 2011) and Japan (Shinohara, 2010).…”

Section: Maritimementioning

confidence: 99%

Maritime Cluster Attractiveness Index

Lagoudis

Madentzoglou

Theotokas

et al. 2019

MABR

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Purpose The role of clusters in the development and growth of local and national economies has been extensively studied and discussed in global literature. Different methodologies are used for analysing the impact these have in national and regional economies, such as the input–output (IO) and gravity models. This paper aims to detail the methodologies present in the literature and propose a new robust theoretical framework, which facilitates the evaluation and comparison among maritime clusters in terms of attractiveness assisting stakeholders to devise strategies, which will attract companies. Design/methodology/approach An index is created composed of five key categories, namely, infrastructure, financing, governance, manpower and institution/legislation. For the analysis of the index, multi-attribute utility theory (MAUT) is used as a tool to evaluate the importance and performance of the different attributes using both quantitative and qualitative criteria. The methodology has been tested via the use the Piraeus maritime cluster. Findings The framework has been tested on its robustness and friendliness to the user providing useful insights to the stakeholders. Among the results has been the importance of the finance, manpower and infrastructure attributes, which appear to promote the cluster’s attractiveness. In addition, legislation and institutional partnerships, along with Government support, need to take place improve the performance of the cluster. Research limitations/implications A key limitation is the fact that the methodology has been tested in a single case. Applying the methodological framework in a wider sample of clusters will significantly improve the present work. Originality/value The proposed model takes further existing research in the field via adopting the philosophy of the World Bank’s Logistics Performance Index. Among the benefits of the proposed index is that it offers the flexibility and robustness to compare among different maritime clusters globally and can be readily used as a benchmarking policy tool at national, regional and global levels at any given point in time and attribute dimension.

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“…More attention towards clustering is directed to the work of Porter (1990Porter ( , 1998 as cited by Zhang and Lam (2017) by policy makers and researchers who argue that clustering is a new frontier for national economic thinking which gives the nation's insight on the advantages of maintaining assets that offer competitive edge to firms. This is also supported by Bergman and Feser (1999) who recognize that the majority of clustering adopted Porter's work as the starting point including Porter's notion of diamond model for national competitiveness as a key tool for policy makers even though not all clusters can utilize this model for all clusters.…”

Section: Critique Of Existing Literaturementioning

confidence: 99%

Influence Of Strategy Implementation On The Performance Of Maritime Cluster Firms In Kenya

Shimengah¹,

Gathenya²,

Otieno³

2019

ABR

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The study of strategy implementation on the performance of maritime cluster firms has not been fully exhausted for economic growth despite its vast potential resources. In recent times, many countries near the oceans, seas, lakes, rivers and dams are exploiting their natural resources both off shore and on shore (for blue economy) with an aim of increasing their competitive advantage to create employment opportunities, wealth as new frontier by implementing maritime clusters strategy for economic growth and sustainability. This process helps them strengthen their national and regional competitiveness through clustering for their industrial development through processing, manufacturing and value addition of their products. This study seeks to stir up an academic curiosity in the field of maritime academic discipline and anticipates enhancing both policy and knowledge gaps in maritime related cluster firms. The findings of the research will be of importance to policy makers within the government and the maritime cluster firms as well as contribute to the body of knowledge as a reference material for future research works. The main objective of this study is to establish the influence of strategy implementation on performance of Maritime Cluster firms in Kenya and the specific objectives of this study are to establish the influence of strategic policies, strategic direction, organization structure, resource capability, technology innovation, firms' size and years of operation on the performance of maritime cluster firms in Kenya. The research will allow collection of both quantitative and qualitative data and adopt descriptive research (statistical research) as well as inferential statistics designs in which variables of interest will not be controlled or manipulated. The target population of the study is 1386 maritime firms and the sample size of 94 firms which will be randomly selected as a basis for unit of analysis. Thus, the study will perform a pilot test to support reliability and validity tests based on 10% of the sample size of about 10 firms out of 94 firms which will not be included in the main study sample. Both primary and secondary data will be collected by use of questionnaires, structured interviews as instrument of data collection. Both factor analysis and correlation analysis will be used to determine the magnitude and direction of the association between research variables. The study will further perform hypothesis testing using ANOVA. The quantitative data collected will be analysed further through descriptive statistics such as mean, median, standard deviation supported by the statistical package for social science SPSS version 22 whereas the qualitative data will be analysed by use thematic analysis.Scholars of strategic management assert that between 50% and 80% of strategy implementations fail because of the managements' inability to follow up on the strategy execution processes Jonk and Ungerath, (2013) and as confirmed also by (Rajasekar, 2014). According to Sorooshian, Norzima, Yusuf and R...

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An empirical analysis of maritime cluster evolution from the port development perspective – Cases of London and Hong Kong

Cited by 39 publications

References 28 publications

An Improved Lotka–Volterra Model Using Quantum Game Theory

An Improved Lotka–Volterra Model Using Quantum Game Theory

Maritime Cluster Attractiveness Index

Influence Of Strategy Implementation On The Performance Of Maritime Cluster Firms In Kenya

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