The Influence of E-Marketing Mix Strategy on Organizational Performance: An Empirical Analysis of Jordanian Smes

Purpose: The purpose of this empirical research article is to investigate the association between e-marketing mix strategy (EMMS) and organizational performance (OP) in Jordanian SMEs.   Theoretical framework: The study used a quantitative research methodology to explore the impact of EMMS factors on OP indicators, such as product development, pricing strategies, promotional activities, and online distribution channels.   Design/methodology/approach: The study's data is gathered using a survey questionnaire issued to 250 Jordanian SMEs. The dependent variables include OP indicators such as financial performance, customer happiness, market share, and innovation, whereas the independent variables are EMMS factors. Control factors including business size, firm age, and industry type are also taken into account. To evaluate the hypothesized correlations, the obtained data is analyzed using the PLS-SEM (PLS 4.0) technique.   Findings: The results of this study show that in the Jordanian context, all e-marketing techniques, including product development, price strategies, promotional activities, and online distribution channels, have a significant positive impact on OP metrics   Research implications: The findings of this study demonstrate the value of e-marketing and the necessity of sound e-marketing tactics for fostering the expansion and competitiveness of SMEs in the digital era.   Practical and social implications: The study underscores the significance of implementing e-marketing strategies for SMEs in Jordan, as they contribute to enhancing OP. Policymakers can utilize these findings to develop supportive measures for SMEs, while practitioners can gain insights into the value of e-marketing strategies in achieving growth and competitiveness.   Originality/value: This study adds to the current literature by investigating the association between EMMS and OP in Jordanian SMEs. The study adds to the field's knowledge base by providing empirical evidence and insights on the impact of various e-marketing methods on OP measures

A hybrid deep learning approach towards building an intelligent system for pneumonia detection in chest X-ray images

Pneumonia is a major cause for the death of children. In order to overcome the subjectivity and time consumption of the traditional detection of pneumonia from chest X-ray images; this work hypothesized that a hybrid deep learning system that consists of a convolutional neural network (CNN) model with another type of classifiers will improve the performance of the detection system. Three types of classifiers (support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) were used along with the traditional CNN classification system (Softmax) to automatically detect pneumonia from chest X-ray images. The performance of the hybrid systems was comparable to that of the traditional CNN model with Softmax in terms of accuracy, precision, and specificity; except for the RF hybrid system which had less performance than the others. On the other hand, KNN hybrid system had the best consumption time, followed by the SVM, Softmax, and lastly the RF system. However, this improvement in consumption time (up to 4 folds) was in the expense of the sensitivity. A new hybrid artificial intelligence methodology for pneumonia detection has been implemented using small-sized chest X-ray images. The novel system achieved a very efficient performance with a short classification consumption time

Artificial Intelligence Using a Neural Network System to Support Human Resources in the Workplace

Artificial neural networks mirror the behaviour of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of artificial intelligence, machine learning, and deep learning and from it an attempt to represent human behaviour according to learning algorithms; These artificial networks target cognitive and cognitive activities associated with brain function. The current study aims mainly to reveal the nature of the relationship between human resources and the smart organization through the neural network system and the level of its practices, the neural network resembles the sources of human mental activity as an effective resource in the functional environment, and to identify the most important what these super-intelligent applications can add to organizational behaviour. The data was analyzed using The simulation system for neural networks through mean clustering tests and to indicate the level of influence of inputs and outputs to reach the proposed model, as well as tests of accuracy and performance of the model, the level of error in training neural networks, then the strength of the relationship between layer nodes, the weights of the effect of hidden neurons (layer hidden) and the relative importance The dimensions of the inputs over the outputs of the final model. The results of the study showed that the practice of smart organizations has a greater impact on the human resources elements The study recommended that decision centres should realize the importance of the simulation system in neural networks in providing solutions for to administrative problems because of the time, effort, and money it saves, in addition to the accuracy of the results, in addition to the need to continue to Disseminate and adopt human resources because it is the basis on which to achieve an important strategic competitive advantage and The necessity of compatibility of the objectives set by the Bank with the economies of knowledge, electronic commerce, and mutual communication and innovative knowledge

Occluded iris classification and segmentation using self-customized artificial intelligence models and iterative randomized Hough transform

A fast and accurate iris recognition system is presented for noisy iris images, mainly the noises due to eye occlusion and from specular reflection. The proposed recognition system will adopt a self-customized support vector machine (SVM) and convolution neural network (CNN) classification models, where the models are built according to the iris texture GLCM and automated deep features datasets that are extracted exclusively from each subject individually. The image processing techniques used were optimized, whether the processing of iris region segmentation using iterative randomized Hough transform (IRHT), or the processing of the classification, where few significant features are considered, based on singular value decomposition (SVD) analysis, for testing the moving window matrix class if it is iris or non-iris. The iris segments matching techniques are optimized by extracting, first, the largest parallel-axis rectangle inscribed in the classified occluded-iris binary image, where its corresponding iris region is crosscorrelated with the same subject’s iris reference image for obtaining the most correlated iris segments in the two eye images. Finally, calculating the iriscode Hamming distance of the two most correlated segments to identify the subject’s unique iris pattern with high accuracy, security, and reliability

Motivations to Enroll in Education Graduate Programs in Jordan: A Qualitative Field Study at Yarmouk University

الملخص: هدفت الدراسة الحالية التعرف على أسباب ودوافع التحاق طلبة جامعة اليرموك ببرامج الدراسات العليا للتخصصات التربوية في الأردن، شارك في الدراسة عشرة من الطلبة (6) منهم ذكور و(4) إناث وقد استخدم في الدراسة البحث النوعي من خلال أسلوب المقابلة المعمقة حيث تم مقابلة المشاركين من الطلبة الملتحقين ببرامج الدكتوراه والماجستير في التخصصات التربوية بجامعة اليرموك، وتم طرح أسئلة متفرقة في كل جلسة، تحتمل إجابات مفتوحة ومعمقة لإعطاء معنى للظاهرة من وجهة نظر المشاركين بها. نتج عن تحليل استجابات المشاركين بتركيزها على الدوافع الآتية: التقدم الوظيفي، وإيجاد فرص عمل أوسع، والدافع الاجتماعي الذي يركز على تحسين المكانة الاجتماعية، وتكوين علاقات اجتماعية، وتشجيع الأهل والأصدقاء لمتابعة الدراسة، ثم تلاه الدافع الاقتصادي الذي ينظر إلى أن الحصول على شهادة عليا سيزيد في مستوى دخل الفرد، والترقية الوظيفية، وتحسين الظروف المعيشية الشخصية، والحصول على فرص عمل في الخارج. كما أشارت النتائج إلى دور الدافع النفسي للالتحاق بكلية الدراسات العليا والذي يعمل على توفير الاستقرار والرضا النفسي، وتحقيق الذات. كما أن هناك إشارة إلى سياسات القبول في الجامعات حيث أصبحت أكثر مرونة من السابق، وتغيرت المعايير، وهذا فتح الباب على مصراعيه للقبول، مما شجع الطلبة على تزايد الإقبال، وأضافوا إلى أن مستقبل الدراسات العليا واضح في ضوء هذه المعايير والسياسات، حيث سيتزايد الطلبة وسوف يتم فتح تخصصات أخرى في المستقبل. الكلمات المفتاحية: دوافع الإقبال، برامج، الدراسات العليا، التخصصات التربوية، دراسة نوعية، جامعة اليرموك، الأردن.The present study aimed to identify the causes and motives of Yarmouk University students to enroll in graduate programs of educational disciplines in Jordan. Ten students (6 males and 4 females) participated in the study. The study used qualitative research method by means of in-depth interviews during which the participants were given various open questions in each session so as to express their views about the issue under investigation. After the analysis of participants’ responses, it was found that they focused on the following motives: career advancement; creation of wider job opportunities; social motivation, which focuses on improving the social status; formation of social relationships; friends and family’s encouragement to pursue graduate studies. Then economic motives were brought in by the participants, who believed that to get a graduate degree would increase their income, career promotion, personal living standards, and job opportunities abroad. The results also pointed to the role of psychological motivation for admission to the College of Graduate Studies. This would provide psychological stability and satisfaction, and self-esteem. There was also a reference to the admission policies at universities which became more flexible than before, whereby standards have also changed. This made admission more open than before, which encouraged more students to apply to graduate programs. They also added that in view of these standards and policies, it is clear that more students will apply to the graduate programs in the future; and other new disciplines would be opened in the future as well. Keywords: Motivations of enrollment, Graduate studies, Programs, Educational disciplines, Qualitative study, Yarmouk University, Jordan

Impact of Thermal Maturation of the Upper Cretaceous Bituminous Limestone of Attarat Um Ghudran Central Jordan on Calcareous Nannofossil Preservation

Oil shale deposits of the Late Cretaceous from three boreholes in central Jordan were examined to assess the impact of thermal maturation on the content of nannofossils. Thermal activity has been shown to have a strong effect on organic matter content and composition but its effect on calcareous nannofossil assemblages remains inconclusive. This study aims to determine the impact of thermal maturation on nannofossil assemblages and to compare this to an estimated maturity level based on bulk geochemical analysis. Micropaleontological and geochemical analyses were conducted on 31 samples from three oil shale wells drilled in Attarat Um Ghudran central Jordan. Several types of nannofossil preservation have been recorded, including dissolution, overgrowth, and breakage. In the Jordan oil shale sections, nannofossils exhibit a variety of preservation types, with intense dissolution in the middle part of the study sections. The vast majority of the samples had high TOC enrichment, with 29 samples exceeding values of \u3e10%. Kerogen recovery and quality from the oil shale are very good, with a predominance of fluorescent amorphous organic matter (AOM) and minor algal components. The low fluorescence preservation index (FPI), which is 1 in most of the samples, indicates that alteration occurred due to intense thermal activities in the study interval. The palynomorph and AOM fluorescence, ranging from a spore coloration index (SCI) of 3 to 5, suggest that the studied samples were approaching the oil window. A correlation between the nannofossil preservation and geochemical parameters shows a predominance of poorly preserved nannofossils along with high total organic carbon contents and an elevated hydrogen index (HI). We show that low FPI values and a higher level of maturity are associated with poor nannofossil preservation, suggesting that nannofossils, in conjunction with petrographic analysis of kerogen, could be used as a rapid screening technique for estimating levels of oil-shale maturity. The nature of the tectonism in the study area, including faulting and a metamorphosed zone, enhanced the maturity, which might explain why the nannofossils were so significantly affected

Automatic identity recognition systems : a review

Rapidly changed computer technology and fast growth of communication ways, makes everyday work easy and managed. Technology takes place everywhere, in business, education, market, security... etc. However, communication between human and these technologies become the main concern of many research areas, especially for developing automatic identity recognition systems. However, biometric technologies are among the most important technologies used in this area. Biometric technology refers to the automatic identity recognition using physical or behavioral traits associated with him/her. Using biometrics, it is possible to establish physiological-based systems that depend on physiological characteristics such as fingerprint, face recognition, DNA... etc, or behavioral-based systems that depend on behavioral characteristics such as gait, voice ...etc, or even combining both of them in one system. Therefore, biometrics technologies can be excellent candidates for developing intelligent systems such as speaker identification, facial recognition, signature verification...etc. In addition, biometric technologies are flexible enough to be combined with other tools to produce more secure and easier to use verification system

Arabic automatic continuous speech recognition systems

MSA is the current formal linguistic standard of Arabic language, which is widely taught in schools and universities, and often used in the office and the media. MSA is also considered as the only acceptable form of Arabic language for all native speakers [I]. As recently, the research community has witnessed an improvement in the performance of ASR systems, there is an increasingly widespread use of this technology for several languages of the world. Similarly, research interests have grown significantly in the past few years for Arabic ASR research. It is noticed that Arabic ASR research is not only conducted and investigated by researchers in the Arab world, but also by many others located in different parts of the \vorld especially the western countries