Taking Responsible Innovation to China: The Dalian Port Development Case

2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Ping Yan ◽  
QianWang ◽  
Carl Mitcham
2015 ◽  
Vol 72 (5) ◽  
pp. 665-677 ◽  
Author(s):  
Wim Ravesteijn ◽  
Yi Liu ◽  
Ping Yan

The paper outlines and specifies ‘responsible port innovation’, introducing the development of a methodological and procedural step-by-step plan for the implementation and evaluation of (responsible) innovations. Subsequently, it uses this as a guideline for the analysis and evaluation of two case-studies. The construction of the Rotterdam Maasvlakte 2 Port meets most of the formulated requirements, though making values more explicit and treating it as a process right from the start could have benefitted the project. The Dalian Dayao Port could improve its decision-making procedures in several respects, including the introduction of new methods to handle value tensions. Both projects show that public support is crucial in responsible port innovation and that it should be not only a multi-faceted but also a multi-level strategy.


2019 ◽  
Vol 19 (2) ◽  
pp. 101-110
Author(s):  
Adrian Firdaus ◽  
M. Dwi Yoga Sutanto ◽  
Rajin Sihombing ◽  
M. Weldy Hermawan

Abstract Every port in Indonesia must have a Port Master Plan that contains an integrated port development plan. This study discusses one important aspect in the preparation of the Port Master Plan, namely the projected movement of goods and passengers, which can be used as a reference in determining the need for facilities at each stage of port development. The case study was conducted at a port located in a district in Maluku Province and aims to evaluate the analysis of projected demand for goods and passengers occurring at the port. The projection method used is time series and econometric projection. The projection results are then compared with the existing data in 2018. The results of this study show that the econometric projection gives adequate results in predicting loading and unloading activities as well as the number of passenger arrival and departure in 2018. This is indicated by the difference in the percentage of projection results towards the existing data, which is smaller than 10%. Whereas for loading and unloading activities, time series projections with logarithmic trends give better results than econometric projections. Keywords: port, port master plan, port development, unloading activities  Abstrak Setiap pelabuhan di Indonesia harus memiliki sebuah Rencana Induk Pelabuhan yang memuat rencana pengem-bangan pelabuhan secara terpadu. Studi ini membahas salah satu aspek penting dalam penyusunan Rencana Induk Pelabuhan, yaitu proyeksi pergerakan barang dan penumpang, yang dapat dipakai sebagai acuan dalam penentuan kebutuhan fasilitas di setiap tahap pengembangan pelabuhan. Studi kasus dilakukan pada sebuah pelabuhan yang terletak di sebuah kabupaten di Provinsi Maluku dan bertujuan untuk melakukan evaluasi ter-hadap analisis proyeksi demand barang dan penumpang yang terjadi di pelabuhan tersebut. Metode proyeksi yang dipakai adalah proyeksi deret waktu dan ekonometrik. Hasil proyeksi selanjutnya dibandingkan dengan data eksisting tahun 2018. Hasil studi ini menunjukkan bahwa proyeksi ekonometrik memberikan hasil yang cukup baik dalam memprediksi aktivitas bongkar barang serta jumlah penumpang naik dan turun di tahun 2018. Hal ini diindikasikan dengan selisih persentase hasil proyeksi terhadap data eksisting yang lebih kecil dari 10%. Sedangkan untuk aktivitas muat barang, proyeksi deret waktu dengan tren logaritmik memberikan hasil yang lebih baik daripada proyeksi ekonometrik. Kata-kata kunci: pelabuhan, rencana induk pelabuhan, pengembangan pelauhan, aktivitas bongkar barang


2021 ◽  
Author(s):  
Gita Ghiasi ◽  
Catherine Beaudry ◽  
Vincent Larivière ◽  
Carl St-Pierre ◽  
Andrea Schiffauerova ◽  
...  

2021 ◽  
pp. 000765032110018
Author(s):  
Farley Simon Nobre ◽  
Rodrigo L. Morais-da-Silva

Bottom of the Pyramid (BoP) organizations are the ones that develop a set of capabilities that contribute to create short- and long-term sustainability values inside and outside the boundaries of BoP ecosystems. Capabilities have an important role in BoP organizations’ strategies that aim to solve BoP issues. Notwithstanding its developments, BoP research still lacks theoretical contributions for the analysis of organizations. We suggest special attention to the need of advancing knowledge on capabilities of BoP organizations because this field is scattered and fragmented, misinterpreted, and still underdeveloped in the literature. We oriented our research formulating and seeking answers to our main question on what are the capabilities needed to enable organizations to create sustainability values in BoP ecosystems? We conducted an integrative review of BoP research for the period from 1998 to 2019, and we found 22 key capabilities of BoP organizations. We organized the capabilities into four major categories including BoP Responsible Consumption, BoP Responsible Business Model, BoP Responsible Management, and BoP Responsible Innovation. We advanced propositions and discussions regarding the capabilities and major categories’ popularity, interdependence and combination, short- and long-term temporal functions, sustainability roles, and effectiveness to address BoP issues. Our article organizes the field of capabilities of BoP organizations; advances contributions and implications for management, organizations, and policymaking; and opens fruitful avenues for future research.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Marc Steen ◽  
Tjerk Timan ◽  
Ibo van de Poel

AbstractThe collection and use of personal data on citizens in the design and deployment of algorithms in the domain of justice and security is a sensitive topic. Values like fairness, autonomy, privacy, accuracy, transparency and property are at stake. Negative examples of algorithms that propagate or exacerbate biases, inequalities or injustices have received ample attention, both in academia and in popular media. To supplement this view, we will discuss two positive examples of Responsible Innovation (RI): the design and deployment of algorithms in decision support, with good intentions and careful approaches. We then explore potential, unintended, undesirable, higher-order effects of algorithms—effects that may occur despite good intentions and careful approaches. We do that by engaging with anticipation and responsiveness, two key dimensions of Responsible Innovation. We close the paper with proposing a framework and a series of tentative recommendations to promote anticipation and responsiveness in the design and deployment of algorithms in decision support in the domain of justice and security.


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