Search results for "network structure"

showing 5 items of 25 documents

The contribution of human migration to tourism: The VFR travel between the EU28 member states

2017

This study explores the correlation between human migration and that part of tourism due to people visiting friends and relatives in a foreign country. We first compared the network structure of migration stocks and tourism flows between the 28 member countries of the European Union over the period 2000–2012. Then, we performed several econometric analyses to study the main tourism determinants and the correlations between migration to tourism. The paper derives from the discussion of the results an estimate of the contribution to the overall tourism phenomenon due to visiting friends and relatives. Complex network analysis and gravity models were the investigation methods preferred.

Visiting friends and relativesGeography Planning and DevelopmentNetwork structureTransportationGRAVITY MODELHUMAN MIGRATIONSettore SECS-P/06 - Economia ApplicataSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.0502 economics and businessmedia_common.cataloged_instanceEconomic geographyEuropean unionComplex network analysisVFR TRAVELNature and Landscape Conservationmedia_commonTOURISMHuman migrationbusiness.industryMember states05 social sciencescomplex network analysis gravity model human migration tourism VFR travelGeographyInvestigation methodsEconomyTourism Leisure and Hospitality Management050211 marketingbusiness050212 sport leisure & tourismTourismCOMPLEX NETWORK ANALYSIS
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How do different network positions affect crowd members' success in crowdsourcing challenges?

2023

In the crowdsourcing challenges, crowd members can interact with each other by, for example, chatting, exchanging feedback, providing advice, discussing, and commenting on ideas. These social interactions shape a network structure, which is a set of social relationships developed by crowd members. This study aims at investigating how occupying diverse network positions within a crowdsourcing challenge network increases the members' likelihood to succeed in a competition. Leveraging prior literature on social networks and crowdsourcing research, we theorize how central and structural hole network positions influence the crowd members' likelihood of winning crowdsourcing challenges by leverag…

crowd members' success crowdsourcing crowdsourcing challenges network structureManagement of Technology and InnovationStrategy and ManagementSettore ING-IND/35 - Ingegneria Economico-GestionaleJournal of Product Innovation Management
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Poly[1-ethyl-3-methylimidazolium [tri-μ-isothiocyanato-manganate(II)]]

2019

The title compound, {(C9H11N2)[Mn(NCS)3]} n , has been obtained as a side product of the salt metathesis reaction of 1-ethyl-3-methylimidazolium bromide, (EMIm)Br, and K2[Mn(NCS)4]. The structure consists of discrete 1-ethyl-3-methylimidazolium cations and an anionic two-dimensional network of manganese(II)-based complex anions, interconnected by thiocyanate ions. Every Mn2+ ion is coordinated by three S atoms of three NCS− ions and three N atoms of further three NCS− ions in a meridional octahedral fashion.

crystal structurethiocyanateThiocyanateManganatechemistry.chemical_elementThio-02 engineering and technologyCrystal structureManganese010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesMedicinal chemistry0104 chemical scienceschemistry.chemical_compoundnetwork structurechemistryBromideIonic liquidmanganeselcsh:QD901-999Salt metathesis reactionlcsh:Crystallography0210 nano-technologyionic liquidIUCrData
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External Changes and R&I Inter-Organizational Network Dynamics: The Case of EU R&I Policy Change

2022

The paper seeks to understand in what way changes in EU innovation policy incentives affect the EU R&I inter-organizational network dynamics. In particular, the study’s empirical settings are the two innovative inter-organizational networks that connect knowledge actors financed through two EU Framework Programs: the 7th Framework Program (or FP7), and the 8th Framework Program, named HORIZON 2020 (or H2020). Using a dataset of more than 22,228 unique projects in FP7 and 22,153 in H2020, we constructed two collaboration networks. We apply network analysis as a research instrument to identify and measure the fundamental structural properties and evolutionary dynamics of whole networks. I…

external changenetwork clusters or communitiesR&ampI inter-organizational networkEU Framework Programnetwork structure evolutionary network dynamicSettore SECS-P/08 - Economia E Gestione Delle Imprese
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Structural Dynamics of Interfirm Knowledge Networks

2016

In this chapter, we investigate the drivers of interfirm network structural dynamics and their influence on knowledge creation and diffusion processes that occur in such networks over time. Interfirm knowledge networks are complex webs of linkages connecting a variety of idiosyncratic firms within and across industries. Aimed to contribute to answer the recent calls for a more dynamic and multilevel view to understand network structures and processes, we leverage the complex network research to formulate a multilevel theoretical framework that clarifies the structural dynamics and knowledge creation and diffusion potential of interfirm networks.

knowledgeKnowledge managementOperations researchbusiness.industryNetwork structureComplex networkDegree distributionstructural dynamicsAverage path lengthVariety (cybernetics)Knowledge creationLeverage (negotiation)Dynamics (music)Interfirm networkSociologybusinessSettore SECS-P/08 - Economia E Gestione Delle Imprese
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