Analysing Port Community System Network Evolution
Mayanti, Bening; Kantola, Jussi; Natali, Matteo; Kytola, Juha (2020-01-23)
Mayanti, Bening
Kantola, Jussi
Natali, Matteo
Kytola, Juha
Editori(t)
Carpenter, Angela
Lozano, Rodrigo
Springer
23.01.2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2023051143590
https://urn.fi/URN:NBN:fi-fe2023051143590
Kuvaus
vertaisarvioitu
© 2020 Springer. This is a post-peer-review, pre-copyedit version of an article published in European Port Cities in Transition: Moving Towards More Sustainable Sea Transport Hubs. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-36464-9_10
© 2020 Springer. This is a post-peer-review, pre-copyedit version of an article published in European Port Cities in Transition: Moving Towards More Sustainable Sea Transport Hubs. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-36464-9_10
Tiivistelmä
Ports have played an important role in facilitating exchanges among countries since the day when inland transportation was poor. As ports become hubs for global supply chain, they have to maintain their competitiveness not only by reassuring their efficiency, reliability, accessibility to hinterland, and sustainability. In addition, there is a constant challenge from all operational parties of the port to acquire needed information or to trust information received, due to multiple legacy systems and platforms that do not integrate with each other, and to the lack of real time updates. There are differing agendas between parties and, sometimes, distrust within the multi-stakeholder ecosystem leads to working in silos. This jeopardises seamless data exchange and cooperation across the port value chain, resulting in significant inefficiencies. Port community system (PCS) can enhance communication and simplify administrative process resulting economic and environmental benefit for actors in the supply chain. The invisibility of the benefit, actors’ heterogeneity and significant investment to develop the system resulting a reluctance in implementing PCS. This chapter aims to study the evolution mechanism behind the process of PCS network development using lessons learned from industrial symbiosis network development and network trajectories theory. The PCS network development follows a serendipitous and goal-oriented process that can be categorised into three stages: pre-PCS network, PCS network emergence, and PCS network expansion. This chapter contributes to the exploration of network evolution and documents lesson learned to foster PCS implementation.
Kokoelmat
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