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Gordon H. Copp - One of the best experts on this subject based on the ideXlab platform.
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Risk assessment of non-native fishes in the catchment of the largest Central-European shallow lake (Lake Balaton, Hungary)
Hydrobiologia, 2016Co-Authors: Árpád Ferincz, Ádám Staszny, András Weiperth, Péter Takács, Béla Urbányi, Lorenzo Vilizzi, Gábor Paulovits, Gordon H. CoppAbstract:The Fish Invasiveness Screening Kit (FISK) has proved to be a useful tool for assessing and screening the Risk posed by potentially invasive fish species in larger Risk assessment (RA) areas (i.e. country or multi-country level). In the present study, non-native freshwater fishes were screened for a smaller RA area, the closed and vulnerable but economically important drainage basin of Lake Balaton (Hungary). Receiver operator characteristic analysis of FISK scores for 26 fish species screened by four assessors identified 21 species with scores of ≥11.4 to pose a ‘high Risk’ of being invasive, with five species ranked as ‘medium Risk’ and none as ‘low Risk’. The highest scoring species were gibel carp Carassius gibelio and black bullhead Ameiurus melas, with three Ponto-Caspian Gobiidae identified as amongst the species posing the potentially greatest threat to the catchment. The results of the present study indicate that FISK can be applied to Risk assessment areas of smaller geographical scale.
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Risk screening of non native freshwater fishes at the frontier between asia and europe first application in turkey of the fish invasiveness screening kit
Journal of Applied Ichthyology, 2014Co-Authors: Ali Serhan Tarkan, Lorenzo Vilizzi, Gordon H. Copp, Guler F EkmekciAbstract:Summary The aim of the present study was to assess the invasive potential of introduced non-native and translocated fishes in Turkey (Anatolia and Thrace) by applying the Fish Invasiveness Screening Kit (FISK), a Risk identification tool for freshwater fishes. From independent evaluations by two assessors of 35 species, calibration of FISK for Turkey identified a threshold score of 23, which reliably distinguished between potentially invasive (high Risk) and potentially non-invasive (medium to low Risk) fishes for Anatolia (Asia) and Thrace (Europe). No species was categorized as ‘low Risk’, 18 species were categorized as ‘medium Risk’ and 17 as ‘high Risk’ (two being ‘moderately high Risk’, nine ‘high Risk’, and six ‘very high Risk’). The highest scoring species was gibel carp Carassius gibelio, whereas the lowest scoring species was Caucasian dwarf goby Knipowitschia caucasica, a translocated species. Assessor certainty in their responses averaged overall between ‘mostly uncertain’ and ‘mostly certain’, with red piranha Pygocentrus nattereri and topmouth gudgeon Pseudorasbora parva achieving the lowest and highest certainty values, respectively, and with overall significant differences in certainty between assessors. The results of the present study indicate that FISK is a useful and viable tool for identifying potentially invasive non-native fishes in Turkey, a country characterized by natural biogeographical frontiers.
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Risk screening of non‐native freshwater fishes at the frontier between Asia and Europe: first application in Turkey of the fish invasiveness screening kit
Journal of Applied Ichthyology, 2013Co-Authors: Ali Serhan Tarkan, Lorenzo Vilizzi, F. Güler Ekmekçi, Gordon H. CoppAbstract:Summary The aim of the present study was to assess the invasive potential of introduced non-native and translocated fishes in Turkey (Anatolia and Thrace) by applying the Fish Invasiveness Screening Kit (FISK), a Risk identification tool for freshwater fishes. From independent evaluations by two assessors of 35 species, calibration of FISK for Turkey identified a threshold score of 23, which reliably distinguished between potentially invasive (high Risk) and potentially non-invasive (medium to low Risk) fishes for Anatolia (Asia) and Thrace (Europe). No species was categorized as ‘low Risk’, 18 species were categorized as ‘medium Risk’ and 17 as ‘high Risk’ (two being ‘moderately high Risk’, nine ‘high Risk’, and six ‘very high Risk’). The highest scoring species was gibel carp Carassius gibelio, whereas the lowest scoring species was Caucasian dwarf goby Knipowitschia caucasica, a translocated species. Assessor certainty in their responses averaged overall between ‘mostly uncertain’ and ‘mostly certain’, with red piranha Pygocentrus nattereri and topmouth gudgeon Pseudorasbora parva achieving the lowest and highest certainty values, respectively, and with overall significant differences in certainty between assessors. The results of the present study indicate that FISK is a useful and viable tool for identifying potentially invasive non-native fishes in Turkey, a country characterized by natural biogeographical frontiers.
Ysory Annany - One of the best experts on this subject based on the ideXlab platform.
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special studies in management of construction project Risks Risk concept plan building Risk quantitative and qualitative analysis Risk response strategies
alexandria engineering journal, 2018Co-Authors: Ahmed Mohamed Keshk, Ibrahim Maarouf, Ysory AnnanyAbstract:Abstract Project management includes several managements, such as time management, cost management, and quality management…etc. Project Risk management is one of the most important management, especially in this time, which has many unexpected events. This management means with classification, analyzing, planning, identification, assessment, and response and avoidance strategies of Risks. Therefore, it should be too interested in Risk management, to avoid many losses.
Jiju Antony - One of the best experts on this subject based on the ideXlab platform.
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Supply chain Risk assessment approach for process quality Risks
International Journal of Quality & Reliability Management, 2017Co-Authors: Abhijeet Ghadge, Samir Dani, Xie Fang, Jiju AntonyAbstract:Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security Risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights. Findings Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated Risks for products and processes. Today’s managers should conduct robust Risk assessment during the design stage to avoid product safety and security Risks such as recalls. Research limitations/implications The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights. Originality/value The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.
Richard A Milliman - One of the best experts on this subject based on the ideXlab platform.
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perceived Risk attitudes relating Risk perception to Risky choice
Management Science, 1997Co-Authors: Elke U Weber, Richard A MillimanAbstract:This paper provides empirical evidence that distinguishes between alternative conceptualizations of the Risky decision making process. Two studies investigate whether cross-situational differences in choice behavior should be interpreted in the expected utility framework as differences in Risk attitude (as measured by Risk-averse vs. Risk-seeking utility functions) or as differences in the perception of the relative Riskiness of choice alternatives as permitted by Risk-return interpretations of utility functions, leaving open the possibility of stable cross-situational Risk preference as a personality trait. To this end, we propose a way of assessing a person's inherent Risk preference that factors out individual and situational differences in Risk perception. We document that a definition of Risk aversion and Risk seeking as the preference for options perceived to be more Risky or less Risky, respectively, provides the cross-situational stability to a person's Risk preference that has eluded more traditional definitions. In Experiment 1, commuters changed their preferences for trains with Risky arrival times when the alternatives involved gains in commuting time rather than losses. However, changes in preference coincided with changes in the perception of the Riskiness of the choice alternatives, leaving the perceived Risk attitudes of a majority of commuters unchanged. Experiment 2, a stockmarket investment task, investigated changes in Risk perception, information acquisition, and stock selection as a function of outcome feedback. Investors' stock selections and their perception of the Risk of the same stocks were different in a series of decisions in which they lost money than in a series in which they made money. As in Experiment 1, differences in choice and in Risk perception were systematically related, such that the majority of investors had the same preference for perceived Risk in both series of decisions. Our results provide empirical support for the usefulness of recent Risk-return conceptualizations of Risky choice (Bell [Bell, D. E. 1995. Risk, return, and utility. Management Sci. 41 23--30.], Jia and Dyer [Jia, J., J. S. Dyer. 1994. A standard measure of Risk and Risk-value models. Working paper, University of Texas at Austin.], M. Weber and Sarin 1993).
Ahmed Mohamed Keshk - One of the best experts on this subject based on the ideXlab platform.
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special studies in management of construction project Risks Risk concept plan building Risk quantitative and qualitative analysis Risk response strategies
alexandria engineering journal, 2018Co-Authors: Ahmed Mohamed Keshk, Ibrahim Maarouf, Ysory AnnanyAbstract:Abstract Project management includes several managements, such as time management, cost management, and quality management…etc. Project Risk management is one of the most important management, especially in this time, which has many unexpected events. This management means with classification, analyzing, planning, identification, assessment, and response and avoidance strategies of Risks. Therefore, it should be too interested in Risk management, to avoid many losses.
