LinkedIn survey reveals competitiveness factors of container terminals: Forwarders’ view

Kaliszewski, Adam; Kozłowski, Arkadiusz; Dąbrowski, Janusz; Klimek, Hanna

doi:10.1016/j.tranpol.2021.03.024

Cited by 14 publications

(5 citation statements)

References 31 publications

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“…Nonetheless, a number of previous researchers have used similar methods to analyze seaport selection and have argued that the snowball sampling is reliable (Kaliszewski et al. , 2020, 2021; Kavirathna et al. , 2018).…”

Section: Methodsmentioning

confidence: 99%

“…Snowball sampling was used in studies 1 and 2 because there was no single directory for effectively identifying potential respondents. Nonetheless, a number of previous researchers have used similar methods to analyze seaport selection and have argued that the snowball sampling is reliable (Kaliszewski et al, 2020(Kaliszewski et al, , 2021Kavirathna et al, 2018).…”

Section: Sample Design and Data Collectionmentioning

confidence: 99%

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A longitudinal study of seaport selection: the perspective of container shipping companies

Sim

Kim²,

Yulseong

et al. 2023

MABR

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PurposeCompetition among seaports is rapidly increasing due to various factors such as the global recession, resurgence of COVID-19, tight environmental regulations of IMO, sharp rise in ocean freight charges, increasing global uncertainties and growth in ship sizes. It is essential to have precise knowledge of shipping companies' port selection factors to secure the competitive advantage of seaports. This study aims to empirically analyze recent changes in the importance of port selection factors.Design/methodology/approachBy employing a longitudinal study, this study conducted the t-test analysis. The first survey was conducted from January 2005 to April 2005. Then, the second survey was conducted in May 2021.FindingsFirst, the importance of port facilities (berth length and the number of berths, shed and terminal areas, possession of adequate equipment and maximum berth size) increased significantly. Second, while ship and cargo safety were the critical port service factors in previous studies, speed, flexibility and reliability for handling cargo and berthing schedule were found to be crucial in this study. Third, the importance of ship arrival/departure frequency, route diversity and ship arrival/departure information systems increased when shipping companies selected the port.Originality/valueThis study has academic significance in that it reveals the changing importance of port selection factors in the 2020s and has taken the form of a longitudinal study on the importance of port selection factors from 2005 to 2021, moving beyond the cross-sectional approach. This study can provide valuable insights into and implications for port policymakers and managers when developing and formulating port policies and strategies.

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Section: Methodsmentioning

confidence: 99%

Section: Sample Design and Data Collectionmentioning

confidence: 99%

A longitudinal study of seaport selection: the perspective of container shipping companies

Sim

Kim²,

Yulseong

et al. 2023

MABR

View full text Add to dashboard Cite

show abstract

“…The second study [ 9 , 10 ] concerned employees of forwarding companies. The initial query to LinkedIn Sales Navigator was based on the ControlPay Freight Audit 2018 list of top 50 ocean freight forwarders [4] .…”

Section: Methods Validationmentioning

confidence: 99%

Virtual network sampling method using LinkedIn

et al. 2021

Self Cite

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Surveying people via the Internet presents both opportunities and challenges. The opportunities include quick access to respondents all over the world enabling fast realization of surveys at low costs. The challenges include a lack of control over both the sampling process and research implementation, as well as low response rates. This article describes a method of obtaining an appropriate sample of people for survey research utilising the power of the Internet, while simultaneously allowing the researcher to minimise risk thanks to enhanced control over the sampling process and the implementation of the survey. The proposed method could be used mainly in economic and social surveys; it allows researchers to reach selected groups of respondents and to conduct surveys on a global scale. The proposed sampling method uses LinkedIn's network structure to quickly reach a dispersed population Creating a list of units belonging to the study population resembles the snowball method, though the units are selected for the sample by the researcher and not indicated by the respondents.

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“…The survey was distributed through the professional networking site "LinkedIn". Collecting data using LinkedIn is a practice that was also used in other studies; see for example Kaliszewski et al (2021). The survey was distributed through the authors' LinkedIn networks and in several groups of maritime professionals.…”

Section: Data Collectionmentioning

confidence: 99%

Cyber security risk assessment in autonomous shipping

et al. 2022

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Autonomous ships would require higher cyber-physical interaction in comparison with traditional shipping operations, thus increasing the vulnerabilities associated with cyber security. The increasing complexity surrounding the innate characteristics of the shipping industry makes it challenging to build a resilient framework for ensuring cyber security. This study proposes a multi-criteria decision-making (MCDM) framework for assessing cyber security risk in the autonomous shipping context. The research was validated through surveying subject matter experts, system designers and seafarers. Different types of equipment and systems are ranked based on their perceived vulnerability to cyber threats. Survey data from 28 subject matter experts are collected and analysed through the Bayesian best-worst method (BWM). At system level, the results indicate that navigational systems are the most vulnerable to potential cyber threats, while propulsion systems are the least vulnerable element in the context of future autonomous shipping operations. On a subsystem level, the three most vulnerable parts are Global Navigation Satellite System (GNSS), Electronic Chart Display and Information System (ECDIS) and the communication devices on shore control centres (SCC), while the least vulnerable parts are engine controls, SCC integration platforms and cargo handling at ports.

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LinkedIn survey reveals competitiveness factors of container terminals: Forwarders’ view

Cited by 14 publications

References 31 publications

A longitudinal study of seaport selection: the perspective of container shipping companies

A longitudinal study of seaport selection: the perspective of container shipping companies

Virtual network sampling method using LinkedIn

Cyber security risk assessment in autonomous shipping

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