Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Weather forecasting generates significant societal benefits, which can be increased by improving accuracy and lead-time through better meteorological monitoring, modeling and computing. Forecasting relies on numerical weather prediction (NWP), which is significantly impacted by the availability of meteorological observations, with space-based observations being the most important. Surface-based observations also contribute substantially to NWP performance, but current availability in Antarctica, Africa, South America, the Pacific and parts of Asia is insufficient. More observations from these regions would improve global NWP and forecasting quality, particularly in the data-sparse regions themselves, but also over the rest of the globe. It is estimated that improvements in the coverage and exchange of surface-based observations to meet the World Meteorological Organization's Global Basic Observing Network (GBON) specification can deliver additional global socioeconomic benefits of over five billion annually. This is a conservative estimate omitting non-financial benefits such as potential lives saved and improvements to well-being, so underestimates the full benefits, particularly for developing countries. Investing in improving surface-based observations in data sparse regions is also highly economically efficient, yielding a global benefit to cost ratio of over twenty-five. Assuming sufficient observational coverage, international data exchange is a very efficient multiplier of the value of observations. However, exchange is currently insufficient across all regions. In view of the growing climate- and weather-related challenges facing humanity and recognizing that climate services similarly rely on meteorological monitoring, surface-based observations should be treated as a critical public good, with public oversight and open exchange within the meteorological and climatological communities.

Climate and Meteorology --- Climate Change and Environment --- Cost-Benefit Analysis --- Environment --- Global Public Goods --- Natural Disasters --- Science and Technology Development --- Weather Forecasting

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Avec l’avènement des big data, il devient crucial pour les entreprises de gérer leurs données à l’aide d’outils. La business intelligence (BI) permet de traiter ce volume important de données, cependant, il semble que les PME utilisent peu ces outils. 
C’est pourquoi, au travers d’une étude qualitative réalisée auprès d’utilisateurs de BI travaillant dans des PME, nous avons voulu analyser la valeur et le coût de la business intelligence pour le contrôle de gestion (CDG) en PME. Notre but est donc de fournir des éléments concrets aux PME qui s’interrogent à propos de l’utilité ou de la nécessite de mettre un outil de BI en place pour aider le CDG dans ses activités. 
La partie empirique de ce travail nous apprend que de nombreuses activités en lien avec le CDG peuvent être réalisées en PME grâce à la BI. L’utilisation de ce type d’outils offre alors des avantages (gain de temps, fiabilité, uniformisation) lors du traitement de données internes à l’entreprise. Ainsi, nous pouvons conclure que, dans les limites de notre recherche, en PME, la valeur de la BI semble établie puisque l’outil satisfait aux attentes des utilisateurs. En ce qui concerne les coûts, les différences de perceptions ne nous permettent pas de tirer des conclusions claires, cependant nous pouvons affirmer que le montant investi pour l’outil de BI (même s’il est jugé onéreux) ne dépasse jamais la valeur perçue puisque tous nos intervenants déclarent l’outil rentable. As the big data came out, it is becoming crucial for companies to manage their data by using tools. Business intelligence (BI) is used to handle this large volume of data, however, it seems that SMEs do not use these tools a lot. 
This is the reason why, through a qualitative study carried out with BI users working in SMEs, we wanted to analyse the benefit and cost of business intelligence for Management Control (MC) in SMEs. Our goal is to provide concrete elements to SMEs that are questioning themselves about the usefulness and the need to implement a BI tool to help the MC in its activities. 
The empirical part of this work teaches us that many activities related to the MC can be carried out in SMEs thanks to BI. The use of this type of tool offers advantages (time saving, reliability, standardisation) when processing internal company data. Thus, we can conclude that, within the limits of our research, in SMEs, the value of BI seems to be established since the tool meets the users' expectations. As far as costs are concerned, the differences in perceptions do not allow us to draw clear conclusions, however we can state that the amount invested for the BI tool (even if it is considered expensive) never exceeds the perceived value since all our stakeholders declare the tool profitable.

Contrôle de gestion --- Business Intelligence --- PME --- Analyse valeur-coût --- Management control --- Business Intelligence --- SME --- Cost-benefit analysis --- Sciences économiques & de gestion > Finance --- Sciences économiques & de gestion > Gestion des systèmes d'information

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue (SI) deals with different end-users’ perspectives on newly developed energy policy and technology. Although the importance of end-users’ preferences is not totally new to the energy sector, this issue needs to be urgently and consistently addressed if new policies, projects, and technologies are to be introduced successfully. The eight papers included in this SI are focused on various issues such as modeling the future energy demand, household energy consumption behavior, public perceptions of new energy technologies and projects, and ICT–energy efficiency interrelationship. Some papers also analyze end-users’ experiences with recently introduced energy technologies. Based on these eight articles with various topics, this SI will provide fruitful insights in assessing and forecasting the evolution of the future energy sector. I hope this SI can contribute to the increase in communication and cooperation among academic researchers as well as practitioners in energy fields.

Research & information: general --- energy demand --- CO2 emissions --- Indonesia --- households --- energy consumption --- pro-environmental behavior --- conceptual framework --- energy technology --- energy security --- public opinion --- cost-benefit analysis --- energy strategy --- improved cook stoves --- Honduras --- occupant behaviour --- socio-economic profile --- survey --- energy efficiency --- persuasion --- intervention --- pro-environmental behaviour change --- workplace --- choice experiment --- renewable energy --- willingness to accept --- multinomial logit models --- LCOE --- stochastic --- solar PV --- South Korea --- data center --- thermal characteristics analysis --- machine learning --- clustering --- unsupervised learning --- energy demand --- CO2 emissions --- Indonesia --- households --- energy consumption --- pro-environmental behavior --- conceptual framework --- energy technology --- energy security --- public opinion --- cost-benefit analysis --- energy strategy --- improved cook stoves --- Honduras --- occupant behaviour --- socio-economic profile --- survey --- energy efficiency --- persuasion --- intervention --- pro-environmental behaviour change --- workplace --- choice experiment --- renewable energy --- willingness to accept --- multinomial logit models --- LCOE --- stochastic --- solar PV --- South Korea --- data center --- thermal characteristics analysis --- machine learning --- clustering --- unsupervised learning

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue (SI) deals with different end-users’ perspectives on newly developed energy policy and technology. Although the importance of end-users’ preferences is not totally new to the energy sector, this issue needs to be urgently and consistently addressed if new policies, projects, and technologies are to be introduced successfully. The eight papers included in this SI are focused on various issues such as modeling the future energy demand, household energy consumption behavior, public perceptions of new energy technologies and projects, and ICT–energy efficiency interrelationship. Some papers also analyze end-users’ experiences with recently introduced energy technologies. Based on these eight articles with various topics, this SI will provide fruitful insights in assessing and forecasting the evolution of the future energy sector. I hope this SI can contribute to the increase in communication and cooperation among academic researchers as well as practitioners in energy fields.

energy demand --- CO2 emissions --- Indonesia --- households --- energy consumption --- pro-environmental behavior --- conceptual framework --- energy technology --- energy security --- public opinion --- cost-benefit analysis --- energy strategy --- improved cook stoves --- Honduras --- occupant behaviour --- socio-economic profile --- survey --- energy efficiency --- persuasion --- intervention --- pro-environmental behaviour change --- workplace --- choice experiment --- renewable energy --- willingness to accept --- multinomial logit models --- LCOE --- stochastic --- solar PV --- South Korea --- data center --- thermal characteristics analysis --- machine learning --- clustering --- unsupervised learning

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue opens a new field of research in certain emerging innovative instruments, because it provides an in-depth revision of the main aspects of institutions and instruments available for the management and governance of droughts and water scarcity. The key aspects that institutions may tackle not only include the increasing water scarcity in many regions around the world but also the increasing frequency and impact of droughts on economic and natural systems. Some of the included papers analyze critical issues, such as the state and future trends of water markets; the estimation of transaction costs when dealing with drought management; and the use of new instruments, such as insurance and water-rights entitlements, which include water security, water-pricing effects on the whole basin level, and intra- and inter-sectorial re-allocation. The important issues regarding non-conventional water supply and the governance of the new resources also feature as the focus of some of the contributions.

Technology: general issues --- Baiyangdian Lake --- Landsat --- complex water extraction --- SMDPSO --- dynamic changes --- drought risk --- water supply risk --- irrigation insurance --- water use --- Spain --- drought --- water markets --- Western US --- hydro-economic modelling --- water policy --- climate change --- river basin management --- water scarcity --- water supply --- risk reduction --- risk curves --- cost-benefit analysis --- water management --- water rights --- water supply reliability --- irrigation agriculture --- allocation rules --- priority rights --- Po River Basin --- institutional economics --- climate change adaptation --- cost of adaptation --- water pricing --- water-use efficiency --- economic model --- inter-sectoral --- river basin --- good water practices --- tourist accommodation --- tourist --- Mediterranean --- water reuse --- reclaimed water --- SWOT analysis --- cluster analysis --- n/a