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  • 1
    Publication Date: 2018-11-30
    Type: paper
    Format: application/pdf
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  • 2
    Publication Date: 2017-08-25
    Description: This study examines the relationship between ownership structure and performance of public firms in Mexico, considering debt and the structure of the board of directors as contextual and institutional factors. This research seeks to explain the mixed results about the relationship of ownership and performance presented by other relevant studies in family and non-family businesses, mainly in emerging countries. The results confirm the positive association between family ownership concentration and performance, calculated by Tobin's Q, showing how the participation of inside shareholders on the board and a low debt level contribute to higher performance. However, the association of these variables with performance shows a contrasting effect in the case of family as compared to non-family businesses. The particular corporate legal context in Mexico could be highlighted as one of the main reasons for these results.
    Keywords: G32 ; ddc:330 ; ownership concentration ; family business ; corporate governance ; market financial performance ; Mexico
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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  • 3
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    Barcelona: Elsevier España
    Publication Date: 2019-11-08
    Description: This paper seeks to shed further light on the capital budgeting techniques used by Spanish companies. Our paper posits that the gap between theory and practice might be related to the nature of sources of value and to the efficiency of mechanisms aligning managerial and shareholder incentives, rather than to resource restrictions or model misinterpretation. We analyze data from a survey conducted in 2011, the final sample comprising 140 non-financial Spanish firms. Our findings show a behaviour pattern similar to that reported in prior research for firms in other countries. Particularly noteworthy is that payback appears to be the most widely used tool, while real options are used relatively little. Our results confirm that size and industry are related to the frequency of use of certain capital budgeting techniques. Further, we find that the relevance of growth opportunities and flexibility is an important factor explaining the use of real options."
    Keywords: ddc:650 ; Corporate investment ; NPV ; IRR ; Payback ; Real options ; Survey
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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  • 4
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    PANGAEA
    In:  Supplement to: San Martín, Valeska; Gelcich, Stefan; Lavín, Felipe Vásquez; Ponce Oliva, Roberto D; Hernández, José I; Lagos, Nelson A; Birchenough, Silvana N R; Vargas, Cristian A (2019): Linking social preferences and ocean acidification impacts in mussel aquaculture. Scientific Reports, 9(1), https://doi.org/10.1038/s41598-019-41104-5
    Publication Date: 2019-11-02
    Description: Ocean Acidification (OA) has become one of the most studied global stressors in marine science during the last fifteen years. Despite the variety of studies on the biological effects of OA with marine commercial species, estimations of these impacts over consumers' preferences have not been studied in detail, compromising our ability to undertake an assessment of market and economic impacts resulting from OA at local scales. Here, we use a novel and interdisciplinary approach to fill this gap. We experimentally test the impact of OA on commercially relevant physical and nutritional attributes of mussels, and then we use economic discrete choice models to assess the marginal effects of these impacts over consumers' preferences and wellbeing. Results showed that attributes, which were significantly affected by OA, are also those preferred by consumers. Consumers are willing to pay on average 52% less for mussels with evidences of OA and are willing to increase the price they pay to avoid negative changes in attributes due to OA. The interdisciplinary approach developed here, complements research conducted on OA by effectively informing how OA economic impacts can be analyzed under the lens of marginal changes in market price and consumer' welfare. Thereby, linking global phenomena to consumers' wellbeing, and shifting the focus of OA impacts to assess the effects of local vulnerabilities in a wider context of people and businesses.
    Type: Dataset
    Format: text/tab-separated-values, 1936 data points
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  • 5
    Publication Date: 2019-11-02
    Description: One of the business models that attracts scholars and professionals’ interest is mobile commerce. This paper applies the theory of shopping preference to this field. It analyzes the role of personal factors (perceived control and propensity to use technology), social factors (influence of a social group), and epistemic factors (compatibility) to determine consumers’ attitude toward mobile advertising (madvertising) and mobile repurchase (m-repurchase). The information of 973 mobile shoppers is analyzed in two contexts (Spain as a developed country and Mexico as a developing country). A positive attitude toward m-advertising is confirmed to increase m-repurchase through the mobile phone and the indirect influence of personal, social, and epistemic factors on shoppers m-repurchase (through the attitude toward m-advertising) varies depending on the analyzed market.
    Keywords: M3 ; ddc:650 ; Attitude ; Mobile ; M-repurchase
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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  • 6
    Publication Date: 2015-10-09
    Description: A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron Scientific Reports, Published online: 8 October 2015; doi:10.1038/srep14945
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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  • 7
    Publication Date: 2019
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 8
    Publication Date: 2019
    Description: The necessity of transport electrification is already undeniable due to, among other facts, global Greenhouse Gas (GHG) emissions and fossil-fuel dependency. In this context, electric vehicles (EVs) play a fundamental role. Such vehicles are usually seen by the network as simple loads whose needs have to be supplied. However, they can contribute to the correct operation of the network or a microgrid and the provision of ancillary services and delay the need to reinforce the power lines. These concepts are referred to as Vehicle-to-Grid (V2G), Vehicle-to-Building (V2B) and Vehicle-to-Home (V2H). In paper, a deep classification and analysis of published charging strategies is provided. In addition, optimal charging strategies must minimise the degradation of the batteries to increase their lifetime, since it is considered that the life of a battery ends when its capacity is reduced by 20% with respect to its nominal capacity. Therefore, an optimal integration of EVs must consider both grid and batteries impact. Finally, some guidelines are proposed for further research considering the current limitations of electric vehicle technology. Thus, these proposed guidelines are focused on V2G optimal management, enabling new business models while keeping economic viability for all parts involved.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 9
    Publication Date: 2019
    Description: In the present work, the streaming potential of A. ferrooxidans and pyrite was measured in two environments: fresh and saline water (water with 35 g/L of NaCl) at different pH values. Also, attachment kinetics of A. ferrooxidans to pyrite was studied in fresh and saline water at pH 4. The results show that A. ferrooxidans and pyrite had lower streaming potentials (comparing absolute values) in saline water than in fresh water, indicating the compression in the electrical double layer caused by Cl− and Na+ ions. It was also determined that the bacteria had a higher level of attachment to pyrite in fresh water than in saline water. The high ionic strength of saline water reduced the attractive force between A. ferrooxidans and pyrite, which in turn reduced bacterial attachment. Electrostatic interactions were determined to be mainly repulsive, since the bacteria and mineral had the same charge at pH 4. Despite this, the bacteria adhered to pyrite, indicating that hydrophobic attraction forces and Lifshitz–van der Waals interactions were stronger than electrostatic interactions, which caused the adhesion of A. ferrooxidans to pyrite.
    Electronic ISSN: 2075-163X
    Topics: Geosciences
    Published by MDPI
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  • 10
    Publication Date: 2017-08-19
    Description: ABSTRACT Temporal variability is an important feature of climate, comprising systematic variations such as the annual cycle, as well as residual temporal variations such as short-term variations, spells and variability from interannual to long-term trends. The EU-COST Action VALUE developed a comprehensive framework to evaluate downscaling methods. Here we present the evaluation of the perfect predictor experiment for temporal variability. Overall, the behaviour of the different approaches turned out to be as expected from their structure and implementation. The chosen regional climate model adds value to reanalysis data for most considered aspects, for all seasons and for both temperature and precipitation. Bias correction methods do not directly modify temporal variability apart from the annual cycle. However, wet day corrections substantially improve transition probabilities and spell length distributions, whereas interannual variability is in some cases deteriorated by quantile mapping. The performance of perfect prognosis (PP) statistical downscaling methods varies strongly from aspect to aspect and method to method, and depends strongly on the predictor choice. Unconditional weather generators tend to perform well for the aspects they have been calibrated for, but underrepresent long spells and interannual variability. Long-term temperature trends of the driving model are essentially unchanged by bias correction methods. If precipitation trends are not well simulated by the driving model, bias correction further deteriorates these trends. The performance of PP methods to simulate trends depends strongly on the chosen predictors. This paper presents the results of the comprehensive VALUE perfect predictor experiment, a downscaling exercise for Europe with predictors and boundary conditions from reanalysis data. The performance of a wide range of statistical downscaling, bias correction and weather generator methods to represent temporal aspects of local weather is evaluated and compared with reanalysis data as well as regional climate model simulations.
    Print ISSN: 0899-8418
    Electronic ISSN: 1097-0088
    Topics: Geosciences , Physics
    Published by Wiley
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