Firms Practice and Innovation Management: Case of Fujairah Emirate, United Arab Emirates

Innovation Management has received a lot of attention in the last few decades, from a vital determinant of the global competitiveness of nations over the coming decade to the primary driver of economic progress and well-being. Many countries over the world have adopted national strategic roadmaps to foster innovation and enhance its economic impact to boost productivity and growth. The United Arab Emirates (UAE) came forward with the launch of the National Innovation Strategy in 2014. Hence, this paper has investigated the strategic importance of innovation management as a need for change and firms practices in one of the UAE Emirates (Fujairah Emirate). In doing so, the paper has sought to understand whether the concept of innovation management is featured in the UAE Company's culture and strategic plans or whether the management of the business firm is highly committed to innovation management and what an essential driver for UAE to engage in innovation management. To investigate this problem, a qualitative case study methodology is used to collect and analyze the data. Results indicate that there is a clear line of innovation management strategies in UAE and business firms in Fujairah Emirates response to concerns by integrating innovation management into business structure and systems. Keywords: Innovation Management, National Innovation Strategy, UAE, Fujairah JEL Classifications: M10, M12, M13, M14, M19, L25 DOI: https://doi.org/10.32479/ijefi.908

Development of mathematical model for the prediction of microwave signal attenuation due to duststorm

Signal attenuation caused by duststorm is one of the major problems in utilization of microwave bands for terrestrial and space communication especially at desert and semi desert area. This paper presented a mathematical model developed to predict the microwave signal attenuation due to duststorm. The proposed model enables the convenient calculation of the microwave signal path attenuation which relates visibility, frequency, particle size and complex permittivity of duststorm. The predicted values from the mathematical model are compared with the measured values observed in Sudan and Saudi Arabia shows relatively close agreement

Development of duststorm attenuation model for microwave links

Duststorms are significant meteorological phenomenon occur for a significant percentage of time in arid and semi arid areas especially at African Sahara and Middle East. Measurements at existing microwave links show that the duststorms can potentially result in serious attenuation in signal level especially at Ku band and higher frequencies with direct impact on telecommunications system performance. Very limited research has been done to predict the attenuation even the scarcity of measured data forces the researcher to work for the duststorm prediction modeling

Prediction of signal attenuation due to duststorms using mie scattering

The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement

PREDICTION OF SIGNAL ATTENUATION DUE TO DUSTSTORMS USING MIE SCATTERING

The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement

Mortality of emergency abdominal surgery in high-, middle- and low-income countries

Background: Surgical mortality data are collected routinely in high-income countries, yet virtually no low- or middle-income countries have outcome surveillance in place. The aim was prospectively to collect worldwide mortality data following emergency abdominal surgery, comparing findings across countries with a low, middle or high Human Development Index (HDI). Methods: This was a prospective, multicentre, cohort study. Self-selected hospitals performing emergency surgery submitted prespecified data for consecutive patients from at least one 2-week interval during July to December 2014. Postoperative mortality was analysed by hierarchical multivariable logistic regression. Results: Data were obtained for 10 745 patients from 357 centres in 58 countries; 6538 were from high-, 2889 from middle- and 1318 from low-HDI settings. The overall mortality rate was 1⋅6 per cent at 24 h (high 1⋅1 per cent, middle 1⋅9 per cent, low 3⋅4 per cent; P < 0⋅001), increasing to 5⋅4 per cent by 30 days (high 4⋅5 per cent, middle 6⋅0 per cent, low 8⋅6 per cent; P < 0⋅001). Of the 578 patients who died, 404 (69⋅9 per cent) did so between 24 h and 30 days following surgery (high 74⋅2 per cent, middle 68⋅8 per cent, low 60⋅5 per cent). After adjustment, 30-day mortality remained higher in middle-income (odds ratio (OR) 2⋅78, 95 per cent c.i. 1⋅84 to 4⋅20) and low-income (OR 2⋅97, 1⋅84 to 4⋅81) countries. Surgical safety checklist use was less frequent in low- and middle-income countries, but when used was associated with reduced mortality at 30 days. Conclusion: Mortality is three times higher in low- compared with high-HDI countries even when adjusted for prognostic factors. Patient safety factors may have an important role. Registration number: NCT02179112 (http://www.clinicaltrials.gov)

Signal attenuation due to duststorms at KA band

The Lack of observation on microwave signal propagation during duststorm in Sahara region and Middle East stimulated the present work. Investigation on the characteristics of duststorm and its effect on microwave signal propagation have been presented. A physical model of duststorm from measured data proposed. This paper has presented a study on microwave propagation carried out in Sudan using existing microwave links monitoring by Marconi microwave monitoring system with the calibration of the meteorological data recorded in Sudan. The paper has also investigated and compared the measured attenuation with the value calculated by the mathematical prediction models

Duststorm measurements for the prediction of attenuation on microwave signals in Sudan

The Lack of observation on microwave signal propagation during duststorm in Sahara region and Middle East stimulated the present work. Investigation on the characteristics of duststorm and its effect on microwave signal propagation have been presented. A physical models of duststorm from measured data proposed. This paper has presented a study on microwave propagation carried out in Sudan using existing microwave links monitoring by Marconi microwave monitoring system with the calibration of the meteorological data recorded in Sudan. The paper has also investigated and compared the measured attenuation with the value calculated by the mathematical prediction models

Mathematical model For the prediction of microwave signal attenuation due to duststorm

The microwave signal attenuation caused by dust is one of the major problems in utilizing microwave bands for terrestrial and space communication especially at desert and semi desert area. This paper presents a mathematical model developed to characterize the microwave signal attenuation due to dust. This model enables a convenient calculation of the microwave signal path attenuation which relates attenuation to visibility, frequency, particle size and complex permittivity. The predicted values from the mathematical model, which are compared with the measured values observed by the author in Sudan show relatively optimistic agreement