Suchergebnisse

A new paradigm for commercial relationships -- Behavioral economics in deal-making -- The trust factor : the keystone of negoeconomics -- Rules of the game : defining and setting expectations -- Preparation and analysis prior to bargaining : the first 5 phases of the negotiation process -- Creating a culture of trust and openness -- Where the "bigger" comes from: expanding the range of negoeconomic potential -- Style choices -- Sealing the deal : the second 5 phases of the negotiation process -- How big is my piece? : how the added value is shared -- Dealing with stress, threats, and bluffing -- Make the pie bigger and nobody loses -- Conclusion : restoring trust to the marketplace : it all starts with you

"Deal-makers who are stuck on the traditional path define success as concluding a transaction at the cheapest possible acquisition cost. This approach takes only two variables into account: price and quantity. Haggling for the cheapest price is really not negotiation at all, according to Jensen's way of thinking. He suggests these people are not really aware of the process that can yield a mutually beneficial result, enhancing the value of the take-away for both parties. Haggling for the deepest discount eliminates the magic ingredients that expand the room to negotiate and, consequently, the range of variables the delegates have to work with in order to make the pie bigger. The magic ingredients are trust and cooperation."--

Denmark was heavily militarized until the Napoleonic wars. After heavy territorial losses to Sweden in 1814 and to Prussia in 1864, it concluded that only the Copenhagen area could be defended and spent much on fortifications there before World War I. The interwar period combined isolated neutrality with a low Danish military profile (about 1% of GNP); after the German occupation during World War II it joined NATO and rearmed. Its arms expenditures have quadrupled in absolute terms since about 1950, but have receded from about 3 to about 2% of GNP. This rearmament has been at about NATO pace and slightly slower than European NATO. It also indicates that Denmark has taken a more relaxed view since the 1960s than Norway and Finland. If military expenditures are reduced, the conversion problems will primarily concern manpower: some 40,000 persons are directly employed by the defence ministry. A reduction of some 3% per annum could be absorbed without anybody losing employment, but a slower reduction might be called for to avoid demographical problems in the armed forces. In addition, the closing of air and naval bases and regiments would create local problems. Most defence materiel is imported; domestic orders — and some compensation purchases linked to import — employ some 5,000 persons in Denmark. Lost orders would normally create conversion problems. Some 5,000 additional persons produce goods and services to the ministry other than `defence materiel proper' (construction, maintenance, etc.). There would often be an alternative civilian market, but closing major bases down may in some cases make the local market too small to absorb the lost military demand.

Abstract

Objectives
Work and research with nanomaterials (NMs) has primarily focused on innovation, toxicity, governance, safety management tools, and public perceptions. The aim of this study was to identify academia and industry occupational safety and health (OSH) managers' perceptions and handling of NMs, in relation to safety culture.


Methods
Semistructured interviews were carried out with OSH managers at six academic institutions and six industrial companies. The interview statements were coded into five topics regarding NMs: risk comprehension, information gathering, actions, communication, and compliance. The statements were then coded according to a five-step safety culture maturity model reflecting increasing occupational safety maturity from passive, to reactive, active, proactive, and exemplary occupational safety.


Results
The safety culture maturity of the academic institutions were primarily active and proactive, whereas the industry group were primarily active and reactive. None of the statements were rated as exemplary, with the majority reflecting an active safety culture. The topics varied from a passive approach of having no focus on NMs and regarding risks as a part of the job, to applying proactive measures in the design, production, application, and waste management phases. Communication and introduction to OSH issues regarding NMs as well as compliance provided challenges in both academia and industry, given the increasing cultural and linguistic diversity of students/staff and employees. Workplace leaders played a crucial role in establishing a legitimate approach to working safely with NMs, however, the currently available OSH information for NMs were described as insufficient, impractical, and inaccessible. There was an embedded problem in solely relying on safety data sheets, which were often not nanospecific, as this may have led to underprotection.


Conclusions
There is a need for more structured, up-to-date, easily accessible, and user-friendly tools and information regarding toxicity and threshold limit values, relevant OSH promotion information, legislation, and other rules. The study underscores the need for politicians and engineers to collaborate with communication experts and both natural and social scientists in effectively framing information on NMs. Such a collaboration should allow for flexible deployment of multilevel and integrated safety culture initiatives to support sustainable nanotechnology and operational excellence.

Abstract
Several exposure assessment models use dustiness as an input parameter for scaling or estimating exposure during powder handling. Use of different dustiness methods will result in considerable differences in the dustiness values as they are based on different emission generation principles. EN17199:2019 offers 4 different dustiness test methods considering different dust release scenarios (e.g. powder pouring, mixing and gentle agitation, and vibration). Conceptually, the dustiness value by a given method can be multiplied with a scenario-specific modifier, called a handling energy factor (Hi), that allows conversion of a dustiness value to a release constant. Therefore, a Hi, scaling the effective mechanical energy in the process to the energy supplied in the specific dustiness test, needs to be applied. To improve the accuracy in predictive exposure modelling, we derived experimental Hi to be used in exposure algorithms considering both the mass- and number-based dust release fraction determined by the EN17199-3 continuous drop (CD) and the EN17199-4 small rotating drum (SRD) test methods. Three materials were used to evaluate the relationship between dustiness and dust levels during pouring powder from different heights in a controlled environment.
The results showed increasing scatter and difference between the Hi derived for the 2 test methods with increasing pouring height. Nearly all the Hi values obtained for both SRD and CD were <1 indicating that the dustiness tests involved more energy input than the simulated pouring activity and consequently de-agglomeration and dust generation were higher. This effect was most pronounced in CD method showing that SRD mechanistically resembles more closely the powder pouring.

Abstract
The plastics industry is a major contributor to the world economy, and in 2019 alone, there were some 480 million metric tons of plastic produced worldwide. Although a great deal of attention has been given to measuring and understanding the extent of plastic in the environment and its associated human exposure, much less is known about the human exposure to plastics during its production. The aim of this study is to characterize in detail the particulate matter (PM) emitted from various processes involved in the manufacturing and recycling of plastics. Here we report our findings from an initial campaign carried out at a Danish plastics factory. Online instruments were used to determine the particle number and mass concentrations for particles in the range of 10nm to 10µm, over the course of five hours, at both near- and far-field positions with respect to activities associated with the processing of plastics, including extruding, thermoforming, mixing, crushing, and rolling. For fine particles (<300nm), the average total particle number concentrations associated with these activities were 3.3x104, 4.0x103, 2.8x104, 3.5x104, and 6.9x104 #/cm3, respectively. Respirable dust concentrations were 13, 7, 9, 7 (calculated), and 12 µg/m3, respectively, and total dust concentrations were similar or slightly higher. These data suggest that the principal contributions to human exposure in the facility are fine and ultrafine particles. In addition to the real-time data and mass concentrations, samples are also analyzed for elemental composition and plastics. This research was supported by FFIKA, a grant from the Danish government.

One- and two-box models have been pointed out as useful tools for modelling indoor particle exposure. However, model performance still needs further testing if they are to be implemented as trustworthy tools for exposure assessment. The objective of this work is to evaluate the performance, applicability and reproducibility of one- and two-box models on real-world industrial scenarios. A study on filling of seven materials in three filling lines with different levels of energy and mitigation strategies was used. Inhalable and respirable mass concentrations were calculated with one- and two-box models. The continuous drop and rotating drum methods were used for emission rate calculation, and ranges from a one-at-a-time methodology were applied for local exhaust ventilation efficiency and inter-zonal air flows. When using both dustiness methods, large differences were observed for modelled inhalable concentrations but not for respirable, which showed the importance to study the linkage between dustiness and processes. Higher model accuracy (ratio modelled vs. measured concentrations 0.5–5) was obtained for the two- (87%) than the one-box model (53%). Large effects on modelled concentrations were seen when local exhausts ventilation and inter-zonal variations where parametrized in the models. However, a certain degree of variation (10–20%) seems acceptable, as similar conclusions are reached. ; This research was funded by the Spanish MINECO (CGL2015-66777-C2–1-R, 2-R and 679 RTI2018-098095-B-C21) and Danish Government (FFIKA, Focused Research Effort on Chemicals in 680 the Working Environment). Additional support was provided by the Spanish Ministry of Science and Innovation (Project CEX2018-000794-S), Generalitat de Catalunya AGAUR 2017 SGR41, and 682 FEDER (European Regional Development Fund) "Una manera de hacer Europa". ; Peer reviewed

Abstract
The HARMLESS project focusses upon assessment approaches to support Safe-and-Sustainable-by-Design (SSbD) development of advanced materials (AdMa). Case studies comprise several industry sectors. Specifically for the construction sector we study façade insulation by fibre-aerogel-mats. Beyond the relatively simpler mono-component organic aerogels presented earlier (Keller et al. 2021), here we deal with multi-component materials: Glass fibers provide structural integrity for the silica-based aerogel that provides the thermal insulation performance, though is coated by organosilane as a hydrophobizing agent to prevent moisture uptake. Optionally, an additional inorganic coating can be applied to enhance mechanical stability. Here we explored this wide SSbD design space by four industrially relevant SSbD-versions of fibre-aerogel-mats; these were ranked and compared against each other as well as conventional insulation material (i.e. stone wool). We assessed the release by performing several typical occupational operations under clean-air conditions within a laboratory setting. Up to 106/ccm particles are released, with respirable aerodynamic diameters. We collected the dust and assessed the structure and behavior with respect to its biological reactivity and biodissolution, focusing on the screening and ranking of inhalation hazards. The data on exposure and hazard was complemented by data on functionality in the intended use, where all SSbD versions performed significantly better than the conventional alternative. The new data refines the risk screening and categorisation schemes for advanced materials, including Early4AdMa (RIVM 2022), AdmGRID (Kennedy et al. 2019), InnoMat.Life (Wohlleben et al. 2022) and an environmental risk screening (Arvidsson et al. 2022).

Abstract
Dustiness is a key parameter describing the ability of powder materials to generate dust during agitation. The main goal of this work was to generate and assess the scientific basis for the validation and applicability of 6 dustiness methods to nanomaterials, and development of a subsequent OECD testing guideline. Six dustiness methods (rotating drum, small rotating drum, continuous drop, vortex shaker, fluidizer and venturi) were subjected to an intra- and inter-laboratory comparison (ILC) in which 15 international laboratories participated. ILC tests were conducted for 6 materials (3 TiO2 and 3 SiO2) of different chemical natures and dustiness levels. Each participating laboratory conducted at least 3 replicates per material. Harmonization of procedures, methods and data treatment took place prior to testing. Results from the ILC were assessed considering the different reported metrics such as respirable mass and particle number dustiness index. Overall, the intralaboratory variability for the different methods and metrics was under 30%. Variation between laboratories was generally higher for respirable mass than particle number dustiness index. These variations were mostly attributed to differences in setups such as tubing length or instrumentation. All methods except the venturi, which was characteristic for presenting low differences between materials and opposed classification to the rest of the methods, showed relatively similar material ranking. For all methods and laboratories the calculated z-score (measure of the deviation of each laboratory from the true value) was <2 as based on ISO 13528, which indicates gratifying results.
Funding: EU H2020 Research and Innovation Programme under Grant Agreement 814401.