Decision-making model to assess organizational climate in healthcare organizations

Organizational climate impacts on the employee’s well-being, commitment and positive behavior. Most studies to assess climate in healthcare organizations use qualitative and/or statistical methods. Here, we propose a general framework, based on a multiple criteria decision making/aid (MCDM / A) method, which considers different objectives in a single problem. Such framework includes internal and external factors to assess organizational climate and presented adequate results when tested in a particular case. To assess the organizational climate, we use the ELECTRE TRI method, an outranking method that combine the decision-maker (DM) preferences and his value judgments. We conclude that MCDM methods can improve agility, provide a systemic vision on organizational climate assessment and contribute to the decision-making process

Domestic Structures, Misalignment, and Defining the Climate Displacement Problem

This paper contrasts how climate reports describe displacement with how analyses of moving after disaster have described whether people move. The paper argues that domestic structures govern displacement, and are likely to continue to. Domestically, people have different legal statuses and access to resources, which shape the ability to move. Authoritative governance documents on climate change, including the United States National Climate Assessment, argue that climate change will lead to increasing numbers of displaced people. On the other hand, demographers and economists who study where people move to after disaster have argued that climate reports overstate the risk of mass displacement, based in what has happened after past disasters. Domestic governance processes influence resettlement, and they can change. Studies of whether people move after disaster do not take into account how changes in insurance rates or other rules shaping where people live could reshape resettlement. On the other hand, analyses of governing potential climate displacement draw on international agreements and documents. has often centered on islands advocates argue will disappear, not the changing habitability of places that also depends on the resources people have. The image of disappearing islands misdirects from the risks of climate displacement in wealthier countries, where some people have extensive resources and others do not. This paper argues that the risk of displacement requires turning to follow the domestic governance processes that shape people’s decisions now. This approach fits with calls to work from people’s claims up to governance processes, rather than from processes downward.

A NEW SAFETY CLIMATE ASSESSMENT TOOL FOR GULF CONSTRUCTION

One of the methods which could improve the safety performance of construction organizations is the safety climate approach which is helpful to know the existing maturity level of the safety climate and to develop plans to achieve the required level of maturity. Most of the existing safety climate tools were developed considering different industries in developed countries while construction was based only on few tools. Construction projects in the Gulf Cooperation Council (GCC) member countries are at a peak. This article, therefore, attempts to develop a safety climate assessment tool for the Gulf Cooperation Council (GCC) construction industry. A mixed research method consisting of a systematic review (N = 32), structured questionnaire (N = 102) and email interview (N = 19) was adopted in this research. A new assessment tool that has seven factors including (i) Aligning and Integrating Safety As Value (ii) Training At All Level (iii) Improving Site Safety Leadership (iv) Management Commitment (v) Empowering And Involving Workers (vi) Ensuring Accountability At All Level and (vii) Improving Communication has been finally developed. Each factor is supported by a number of simple questions that the participants have to answer on a Likert scale of 1 to 5 is finally developed. Although, the newly developed tool is validated through email interviews held with the construction industry professionals, however, longitudinal studies are recommended to gauge to the effectiveness of the tool.

Safety Climate and the Impact of the COVID-19 Pandemic: An Investigation on Safety Perceptions among Farmers in Italy

The diffusion of the COVID-19 pandemic has generated numerous interventions aimed at reducing the contagion by means of specific prevention measures, also characterized by stricter occupational health and safety (OHS) procedures at the workplace. To better understand how this novel working context has impacted on farmers’ safety behavior and attitude, a safety climate assessment was carried out by means of the Nordic Safety Climate Questionnaire (NOSACQ-50), which was augmented to include specific items related to the modifications of working conditions due to COVID-19. This allowed us to analyze changes in safety climate perceptions, pointing out worker-manager discrepancies in safety behavior and attitude. Additionally, the COVID-19 questionnaire contributed to analyzing the effects of the specific OHS measures due to the pandemic from the workers’ standpoint. Results showed that concerns related to the COVID-19 pandemic have augmented the attention paid to OHS, demonstrating a correlation between the safety climate dimensions and the OHS measures due to COVID-19. Besides, farmers’ risk-taking behavior and attitude appeared still critical, highlighting the need for more specific and contextual interventions in terms of safety information and training. Overall, this study aims to expand knowledge on shared safety awareness and perceptions in the COVID-19 period.

Evaluation of the Tourism Climate Index in the Canary Islands

In this study, we performed a diagnostic and evolutive analysis of the bioclimatology of the Canary Islands, an Atlantic archipelago where the climate itself is a main feature promoting tourism. Among all the tourist-climate indices described in the literature, we evaluated the most widely used, which is the Tourism Climate Index (TCI) proposed by Mieczkowski (1985). Monthly mean TCI time series were calculated using meteorological data from the Spanish State Meteorological Agency database and the European Climate Assessment and Dataset. Our results show TCI values greater than 50 during almost every month in the period 1950–2018, with mean values over the entire time series between 70 and 80. According to the TCI classification scheme, these values correspond to a very good thermal comfort along all of the period. Our results also point to spring as the season with the best TCI, with maximum values around 80 for this index in April—excellent according to the TCI classification. However, we did not find a correlation between inbound arrivals and the TCI index, which might point to a lack of information available to tourists. This opens an opportunity for policymakers and tour operators to better publicize the best seasons for holidays in the islands.

Satellite-derived sunshine duration data in the CM SAF SARAH-3 climate data record

<p>Sunshine Duration (SDU) is an important parameter in climate monitoring (e.g., due to the availability of long term measurements) and weather application. The exceptional sunny years in Europe since 2018 have raised also the attention of the general public towards this parameter.</p><p>The definition of SDU by WMO via the threshold of 120 W/m<sup>2</sup> for the Direct Normal Irradiance (DNI) allows the estimation of sunshine duration from satellite-derived surface irradiance data. Sunshine duration is part of the climate data record (CDR) “Surface Solar Radiation data set – Heliosat” (SARAH-2.1, doi: 10.5676/EUM_SAF_CM/SARAH/V002_01) by EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which is based on observations from the series of Meteosat satellites. The provided temporal resolutions are daily and monthly sums with a grid space of 0.05°; the data are available from 1983 to 2017 at www.cmsaf.eu. This climate data record is temporally extended by the so-called SARAH-ICDR (Interim Climate Data record) with an average timeliness of 3 days to allow climate monitoring. An updated, improved, and extended version of the SARAH-2.1 CDR is currently being developed and will be made available in early 2022. The SARAH-3 CDR of sunshine duration, covering 1983 to 2020, will be improved compared to the current version, in particular during situations with snow-covered surfaces.</p><p>Here, the algorithm, improvements compared to SARAH-2.1 and a first validation will be presented for sunshine duration, especially for Germany and Europe. The validation is based on station data from Climate Data Center (CDC) for Germany and European Climate Assessment & Dataset (ECA&D) for Europe.</p>

Assessment and Intercomparison of NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) version 2.1

NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) has recently been updated to v2.1 (January 2016–present). Its accuracy may impact the climate assessment, monitoring and prediction, and environment-related applications. Its performance, together with those of seven other well-known sea surface temperature (SST) products, is assessed by comparison with buoy and Argo observations in the global oceans on daily 0.25°×0.25° resolution from January 2016 to June 2020. These seven SST products are NASA MUR25, GHRSST GMPE, BoM GAMSSA, UKMO OSTIA, NOAA GPB, ESA CCI, and CMC.Our assessments indicate that biases and root-mean-square-difference (RMSDs) in reference to all buoys and all Argo floats are low in DOISST. The bias in reference to the independent 10% of buoy SSTs remains low in DOISST, but the RMSD is slightly higher in DOISST than in OSTIA and CMC. The biases in reference to the independent 10% of Argo observations are low in CMC, DOISST, and GMPE; and RMSDs are low in GMPE and CMC. The biases are similar in GAMSSA, OSTIA, GPB, and CCI whether they are compared against all buoys, all Argo, or the 10% of buoy or 10% of Argo observations, while the RMSDs against Argo observations are slightly smaller than those against buoy observations. These features indicate a good performance of DOISST v2.1 among the eight products, which may benefit from ingesting the Argo observations by expanding global and regional spatial coverage of in situ observations for effective bias correction of satellite data.