Digital Platform for Maritime Port Ecosystem: Port of Hamburg Case

Kapkaeva, Natalia; Gurzhiy, Anastasia; Maydanova, Svetlana; Levina, Anastasia

doi:10.1016/j.trpro.2021.02.146

Cited by 29 publications

(22 citation statements)

References 12 publications

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“…Port community systems (PCS) have been implemented by many ports so far (Deloitte, 2017;UNCTAD, 2021b), but not all of them feature an equivalent level of sophistication. Case-studies on the ports of Hamburg (Kapkaeva, Gurzhiy, Maydanova, & Levina, 2021) and Rotterdam (Simoni, Schiavone, Risitano, Leone, & Chen, 2020) identify the enhancement of information flows through more sophisticated PCS as the core element of a successful digital transformation strategy.…”

Section: New Value Creationmentioning

confidence: 99%

Technological drivers of seaports' business model innovation: An exploratory case study on the port of Barcelona

Henríquez

Osés

Marín

2022

Research in Transportation Business & Management

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Section: New Value Creationmentioning

confidence: 99%

Technological drivers of seaports' business model innovation: An exploratory case study on the port of Barcelona

Henríquez

Osés

Marín

2022

Research in Transportation Business & Management

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“…(Carlan et al, 2016 ; Fedi et al, 2019 ; Heilig & Voß, 2017 ; Kapkaeva et al, 2021 ; Matczak, 2013 ; Simushkov & Korovyakovsky, 2008 )…”

Section: Appendixmentioning

confidence: 99%

Multi-sided platforms in competitive B2B networks with varying governmental influence – a taxonomy of Port and Cargo Community System business models

Teßmann

Elbert

2022

Electron Markets

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Our knowledge on differences in business model characteristics of thriving and failing Multi-Sided Platforms in competitive B2B networks (B2B-MSP) and potential influences of increasing governmental involvement remains fragmented. This study develops a taxonomy to classify special B2B-MSP with varying governmental influence in the supply chain and transportation context, viz. Port and Cargo Community Systems (CS). Based on the classification of 44 international CS, we identify four archetypes using cluster analysis. The taxonomy provides practitioners with a differentiated view on the configuration options of CS business models including the involvement of governmental institutions, while the presented archetypes contribute an aggregated view of CS business models. The statistical analysis of our results provides initial explanatory approaches on CS business model dimension interdependencies, thereby laying the basis for a deeper understanding of sectoral and geographic differences of B2B-MSP and their diffusion dynamics as well as facilitating a higher contextualization of future research.

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“…As mentioned in Section I in the motivation part, the port studied has only some attributes of smart industry and it still needs to develop more advanced technology such as BC, Crowdsourcing and CrowdBC [44], [82]. This is difficult to implement in the short term since it requires a high investment in innovation, and depends on the approval of a State public committee in addition to being decreed by law.…”

Section: A Port Technology Strategiesmentioning

confidence: 99%

Boosting the Decision-Making in Smart Ports by Using Blockchain

et al. 2021

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Blockchain technology (BC) offers an innovation platform for decentralized and transparent transactions in the maritime port industry. This technology allows guaranteeing trust, transparency and traceability of cargo and data to be tracked. Today, in the port systems of emerging market countries, BC technology is increasingly being incorporated into information and communication processes. In parallel, the social domain has begun to be explored due to the lack of link between the port and the city it occupies, and the need to incorporate public actors in decision-making at the governance level. In this sense, the present work aims to promote BC technology in order to transform data and information into useful knowledge for effective decision making, through the use of Crowdsourcing. A Crowdsourcing Blockchain (CrowdBC) conceptual framework and its architecture are generated for a port system in which the cybertechnological, social and cognitive domains (CSTC) of smart ports, the knowledge generation process and Crowdsourcing technology are interrelated. Finally, opportunities are discussed for ports that are in permanent development to reduce the gaps with the smart industry. As a discussion, two possible scenarios and recommendations for future implementations that consider the social and cognitive aspects of Industry 4.0 are presented.

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Digital Platform for Maritime Port Ecosystem: Port of Hamburg Case

Cited by 29 publications

References 12 publications

Technological drivers of seaports' business model innovation: An exploratory case study on the port of Barcelona

Technological drivers of seaports' business model innovation: An exploratory case study on the port of Barcelona

Multi-sided platforms in competitive B2B networks with varying governmental influence – a taxonomy of Port and Cargo Community System business models

Boosting the Decision-Making in Smart Ports by Using Blockchain

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