03347nam 22006135 450 991040771020332120240628122447.09783030410155303041015310.1007/978-3-030-41015-5(CKB)5310000000016783(MiAaPQ)EBC6229424(DE-He213)978-3-030-41015-5(PPN)248597620(Perlego)3481545(EXLCZ)99531000000001678320200615d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStrategic Motivations of Inward R&D FDI An Empirical Analysis of the UK /by Osagie Igbinigie, Mark Cook, Lucy Zheng1st ed. 2020.Cham :Springer International Publishing :Imprint: Palgrave Pivot,2020.1 online resource (124 pages)Palgrave pivot9783030410148 3030410145 1. Background and Research Rationale -- 2. Strategic Choice of R&D FDI -- 3. Empirical Literature on the Specific Motivations of FDI -- 4. Conceptual Framework - A Model of R&D FDI Motivations in the UK -- 5. Dynamic Panel Data Analysis Techniques -- 6. Motivations of R&D FDI in the UK - Analysis, Discussion and Conclusion -- 7. Research Conclusions and Emerging Agenda.This book explores the motivations of R&D foreign direct investment (FDI) in a developed country, placing a particular emphasis on the United Kingdom. Multinational enterprises operate in increasingly competitive and complex environments, and the role of R&D can be vital in the creation, adaptation or adoption of knowledge across different foreign locations. This book offers valuable insight into the similarity and distinction between strategic and specific motivations of R&D FDI at the country level, addressing a key gap in previous research on the topic. Based on an empirical study, the authors challenge current thinking in international business studies by shifting focus from R&D FDI globalisation to the concentration of R&D FDI in a single location, conceptualising the interplay of strategic and location-specific motivations. This book is a vital read for students, researchers and practitioners interested in understanding the motivations behind R&D FDI decisions in the UK and beyond.Palgrave pivot.International business enterprisesStrategic planningLeadershipInternational BusinessBusiness Strategy and LeadershipInternational business enterprises.Strategic planning.Leadership.International Business.Business Strategy and Leadership.330.94650 (edition:22)Igbinigie Osagieauthttp://id.loc.gov/vocabulary/relators/aut922660Cook Markauthttp://id.loc.gov/vocabulary/relators/autZheng Lucyauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910407710203321Strategic Motivations of Inward R&D FDI2070437UNINA05320nam 2201117z- 450 991055777940332120210501(CKB)5400000000045595(oapen)https://directory.doabooks.org/handle/20.500.12854/68302(oapen)doab68302(EXLCZ)99540000000004559520202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSmart Wireless Acoustic Sensor Network Design for Noise Monitoring in Smart CitiesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (240 p.)3-03943-280-X 3-03943-281-8 The Environmental Noise Directive (END) requires that a five-year updating of noise maps is carried out to check and report on the changes that have occurred during the reference period. The updating process is usually achieved using a standardized approach consisting of collecting and processing information through acoustic models to produce the updated noise maps. This procedure is time consuming and costly, and has a significant impact on the financial statement of the authorities responsible for providing the maps. Furthermore, the END requires that easy-to-read noise maps are made available to the public to provide information on noise levels and the subsequent actions to be undertaken by local and central authorities to reduce noise impacts. In order to update the noise maps more easily and in a more effective way, it is convenient to design an integrated system incorporating real-time noise measurement and signal processing to identify and analyze the noise sources present in the mapping area (e.g., road traffic noise, leisure noise, etc.) as well as to automatically generate and present the corresponding noise maps. This wireless acoustic sensor network design requires transversal knowledge, from accurate hardware design for acoustic sensors to network structure design and management of the information with signal processing to identify the origin of the measured noise and graphical user interface application design to present the results to end users. This book is collection in which several views of methodology and technologies required for the development of an efficient wireless acoustic sensor network from the first stages of its design to the tests conducted during deployment, its final performance, and possible subsequent implications for authorities in terms of the definition of policies. Contributions include several LIFE and H2020 projects aimed at the design and implementation of intelligent acoustic sensor networks with a focus on the publication of good practices for the design and deployment of intelligent networks in other locations.History of engineering and technologybicsscacoustic event detectionacoustic impedanceacoustic sensor designacousticsAdrienneaggregate impactanomalous noise eventsbearingCNOSSOS-EUcontribution analysisdampingdeep learningdetectiondigital signal processingdrillDYNAMAP projectdynamic modeldynamic noise mapsENDfanindividual impactintermittency ratiolong short-term memorylow-cost sensorsmap generationmechanical faultmotormultirate filtersnetworksnoisenoise controlnoise eventsnoise mappingnoise mitigationnoise monitoringnoise sourcesoutdoors noisep-p sensorp-u sensorpatternpublic informationreal-time noise mappingregression analysisRMSroad surfacesroad traffic noiseroad traffic noise modelsafetysensor conceptsensor nodesshaftsmart citiessoundsound level meterstabilizationtemporal forecasturban and suburban environmentsurban sites classificationvehicle interior noiseWASNwireless sensor networksHistory of engineering and technologyAlsina-Pagès Rosa Maedt1279926Bellucci PatriziaedtZambon GiovanniedtAlsina-Pagès Rosa MaothBellucci PatriziaothZambon GiovanniothBOOK9910557779403321Smart Wireless Acoustic Sensor Network Design for Noise Monitoring in Smart Cities3016206UNINA