Maritime cluster is a well-established and productively researched theme by maritime policy and economics scholars. Maritime cluster＇s evolution is an under-investigated area, with ramifications in maritime policy an...Maritime cluster is a well-established and productively researched theme by maritime policy and economics scholars. Maritime cluster＇s evolution is an under-investigated area, with ramifications in maritime policy and business decision-making. In this paper, we study the evolutionary formation of maritime clusters, in the contemporary European blue economy context. We examine pertinent factors for the sustainable development of maritime clusters, with a strong technical, service and market innovation orientation. We merely examine the significance of legislative, financial, business networking and knowledge management related components. Qualitative empirical testing of the theoretical premises is performed for the Spanish, Italian, Greek and Cypriot cluster entities.展开更多
With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in thi...With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in this paper. The hot issues of studies on DIR and the relationship between those subjects are analyzed in this investigation as well.展开更多
oceanographic data files on the China Seas prepared by the National Marine Data and Information Service, SOA, China and the '30-year (1953-1982) Reports of Sea Surface Monthly Mean Temperature in the East China Se...oceanographic data files on the China Seas prepared by the National Marine Data and Information Service, SOA, China and the '30-year (1953-1982) Reports of Sea Surface Monthly Mean Temperature in the East China Sea by the Meteorological Agency, Japan,' were used to calculate the digital characteristics of frequency distribution of sea and air temperature in 153 areas in the China Seas. Principal factor analysis and fuzzy cluster ISODATA were used to divide the China hydroclimatic area into three climatic zones including ten climatic regions. It is concluded that the characteristic values derived by this method may completely show the characteristics of frequency distribution of sea and air temperature in the studied area and the final division of hydroclimatic area is fully coincident with the author's former result [2].展开更多
This study explores the impact of digital literacy on adopting e-government services in Rwanda, focusing on the Irembo platform. The study addresses key gaps in the literature related to the digital divide and applies...This study explores the impact of digital literacy on adopting e-government services in Rwanda, focusing on the Irembo platform. The study addresses key gaps in the literature related to the digital divide and applies the Technology Acceptance Model (TAM) and Rogers’ Diffusion of Innovations theory. Using data from 2022 and 2023, This study employs k-means and hierarchical clustering to analyze application attributes processed through Irembo, including types, states, and prices. The findings reveal that, despite advancements in digital service delivery, disparities in access and digital literacy persist, particularly in rural areas. The study concludes with recommendations for enhancing digital literacy initiatives and improving e-government platform usability, which is essential for promoting inclusive access to public services and supporting Rwanda’s socio-economic development goals.展开更多
文摘Maritime cluster is a well-established and productively researched theme by maritime policy and economics scholars. Maritime cluster＇s evolution is an under-investigated area, with ramifications in maritime policy and business decision-making. In this paper, we study the evolutionary formation of maritime clusters, in the contemporary European blue economy context. We examine pertinent factors for the sustainable development of maritime clusters, with a strong technical, service and market innovation orientation. We merely examine the significance of legislative, financial, business networking and knowledge management related components. Qualitative empirical testing of the theoretical premises is performed for the Spanish, Italian, Greek and Cypriot cluster entities.
基金supported by the Fund for Philosophy and Social Sciences,Ministry of Education of China(Grant No.05JZD00024)
文摘With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in this paper. The hot issues of studies on DIR and the relationship between those subjects are analyzed in this investigation as well.
文摘oceanographic data files on the China Seas prepared by the National Marine Data and Information Service, SOA, China and the '30-year (1953-1982) Reports of Sea Surface Monthly Mean Temperature in the East China Sea by the Meteorological Agency, Japan,' were used to calculate the digital characteristics of frequency distribution of sea and air temperature in 153 areas in the China Seas. Principal factor analysis and fuzzy cluster ISODATA were used to divide the China hydroclimatic area into three climatic zones including ten climatic regions. It is concluded that the characteristic values derived by this method may completely show the characteristics of frequency distribution of sea and air temperature in the studied area and the final division of hydroclimatic area is fully coincident with the author's former result [2].
文摘This study explores the impact of digital literacy on adopting e-government services in Rwanda, focusing on the Irembo platform. The study addresses key gaps in the literature related to the digital divide and applies the Technology Acceptance Model (TAM) and Rogers’ Diffusion of Innovations theory. Using data from 2022 and 2023, This study employs k-means and hierarchical clustering to analyze application attributes processed through Irembo, including types, states, and prices. The findings reveal that, despite advancements in digital service delivery, disparities in access and digital literacy persist, particularly in rural areas. The study concludes with recommendations for enhancing digital literacy initiatives and improving e-government platform usability, which is essential for promoting inclusive access to public services and supporting Rwanda’s socio-economic development goals.
