Topic outline

  • The Nexus between Extrinsic Motivation and Employees’ Retention; Do Compensation Packages and Flexible Working Hours Matter?

    Submitted by: Haddad, H., El Khatib, N., & Ashaal, A.

    Published by: Open Journal of Business and Management, Vol.11 , No.2,

    Date: 16 March 2023


    Purpose:This study aims to identify the motivating factors that can help banks succeed in a highly competitive environment, and to explain the relevance of effective motivational factors that banks can utilize to encourage and retain competent personnel.Design/methodology/approach:This study was quantitative. Primary data were obtained from the BLC Bank and Fransabank, both of which are located in Beqaa, Lebanon. A questionnaire was distributed to 97 employees of two commercial banks. Descriptive statistics and t-tests were used to assess the data and validate our research hypotheses.Findings: Bank employees at the two institutions did not differ significantly in their preferences for extrinsic motivations. In addition, employees agreed that this compensation package and flexibility in working hours were critical to keeping them engaged in their work and dedicated to the bank.Research limitations/implications:The study’s findings relied entirely on extrinsic factors; they did not account for or even considered intrinsic motivation.Practical implications:Leaders in the banking sector would do well to pay attention to the remuneration packages supplied to employees and adapt the work schedule to retain staff members in an increasingly competitive job market.Social implications:If a bank provides extrinsic motivation, it may increase workers’ sentiment regarding safety, security, and belonging. Thus, satisfied customers become brand ambassadors by sharing their positive experiences.Originality:This study adds to our understanding of the role of two extrinsic factors in boosting motivation and maintaining bank personnel (pay packages and flexible work). Our study also contributes to literature on leadership and motivation.

  • Predicting Effluent Quality in Full-Scale Wastewater Treatment Plants Using Shallow and Deep Artificial Neural Networks

    Submitted by: Raed Jafar -Adel Awad - Kamel Jafar -Isam Shahrour

    Published by: Sustainability 2022, (International Journal), Volume 14, Issue (23), 15598; November 2022.

    Date:  23 November 2022

    This research focuses on applying artificial neural networks with nonlinear transformation (ANNs) models to predict the performance of wastewater treatment plant (WWTP) processes. The paper presents a novel machine learning (ML)-based approach for predicting effluent quality in WWTPs through explaining the relationships between the multiple influent and effluent pollution variables of an existing WWTP. We developed AI models such as feed-forward neural network (FFNN) and random forest (RF) as well as deep learning methods such as convolutional neural network (CNN), recurrent neural network (RNN), and pre-train stacked auto-encoder (SAE) in order to avoid various shortcomings of conventional mechanistic models. The developed models focus on providing an adaptive, functional, and alternative methodology for modeling the performance of the WWTP. They are based on pollution data collected over three years. It includes chemical oxygen demand (COD), biochemical oxygen demand (BOD5), phosphates ( P O 3 ), and nitrates ( N O ), as well as auxiliary indicators including the temperature (T), degree of acidity or alkalinity (pH), electric conductivity (EC), and the total dissolved solids (TDS). The paper presents the results of using SNN- and DNN-based models to predict the effluent concentrations. Our results show that SNN can predict plant performance with a correlation coefficient (R) up to 88%, 90%, 93%, and 96% for the single models COD, BOD5, N O , and P O 3 , respectively, and up to 88%, 96%, and 93% for the ensemble models (BOD5 and COD), ( P O 3   and N O ), and (COD, BOD5, N O , P O 3 ), respectively. The results also show that the two-hidden-layers model outperforms the one-hidden-layer model (SNN). Moreover, increasing the input parameters improves the performance of models with one and two hidden layers. We applied DNN (CNN, RNN, SAE) with three, four, and five hidden layers for WWTP modeling, but due to the small datasets, it gave a low performance and accuracy. In sum, this paper shows that SNN (one and two hidden layers) and the random forest (RF) machine learning technique provide effective modeling of the WWTP process and could be used in the WWTP management.

    Application: EP2020060809W·2020-04-17

    Publication: WO2020212547A1·2020-10-22

    Published as: WO2020212547A1


    The present invention relates to a system and a method for facilitating medical diagnosing, particularly by using health data. A data processing system us disclosed. The data processing system is configured for verifying a presence of at least one state. The verification is done based on input data.


    Application: EP2020060925W·2020-04-17
    Publication: WO2020212609A1·2020-10-22

    Published as:WO2020212604A1;WO2020212609A1;WO2020212610A1;WO2020212611A1


    Disclosed are a method and system for processing data on an end user computer device. The method comprises processing user data by an application that is executed by the end user computer device, and a user data storing step. The user data storing step comprises storing at least a part of the user data on the end user computer device, wherein the user data storing step comprises storing medical data and a technical user data storing step that comprises storing technical user data in a machine-interpretable form. The system comprises an end user computer device and a server, wherein the end user computer device comprises a data storage component, a data processing component, an input interface component, application data and user data. The application data are configured to specify an application that derives information from user data once it is executed by the end user device. The application data are furthermore configured for performing the functionality of an expert system by the application once the application data are executed. The invention relates to a corresponding computer program product.

  • The Implementation of Quality Circles in the Public -- Service Organizations . A Case Study : The Syrian Communications Company

    Submitted by: Mohammad Adrah HASSAN, Barhoum ADEEB

    QUALITY access to success- Vol. 18, No 156/February 2017


    February 2017


    This study addressed the implementation of quality Circles in public-service organizations according to a case study of the Syrian communications company, through the definition of the concept of quality Circles and the mechanism for its work, and to identify the availability of the main requirements for the implementation of quality Circles, through four main variables, which are: Organizational culture, Training, Awareness and Understanding of the higher administration of the concept of quality Circles, in response to and support of the higher administration for the implementation of quality Circles.
    The researcher has presented a number of recommendations which conform to the results reached, the most important results were: the lack of a sufficient level of organizational culture and training, the lack of a sufficient level of response and support at the higher administration about the implementation of quality Circles in Syrian Communications Company. Therefore, quality Circles can not be applied in the studied company.

  • Comparison of resource related economic sectors with non-resource sectors from the point of view of GDP growth and Dutch Disease potential, studied on the case of four resource dependent countries

    Submitted by: Haiyan Sulaiman, Ing. SAMUEL Mintah , Ali Salman

    Journal of Applied Economic Sciences


    September - 2016

    Abstract :

    The Dutch Disease phenomenon makes scholars conclude on the base of the historical empiric evidence, that natural resources can be actually a thread to the long term stability and prosperity of countries. This view of natural resources as a curse rather than a blessing was shown on many cases of national economies. No studies had however compared different commodities in order to draw a conclusion on the severity of their impact on GDP growth with other sectors and also on the lagged impact in a mid-term time span. The study compares on the base of historic longitudinal panel data analysis, selected types of resources with a Dutch Disease impact potential on GDP creation, such as crude oil and gold and compares these with agricultural and industrial output and high-tech exports in chosen countries.

  • A proposed model for applying total quality management in Syrian banks: A case study in the industrial bank of Syria

    Submitted by: Ali Salman, Ing. SAMUEL Mintah, Haiyan Sulaiman

    Investment Management and Financial Innovations, Volume 13


    May - 2016


    Syrian banks have witnessed an important changed since 2002 with applying the advanced technology. Industrial bank played a crucial role in developing the industrial sector which provides about 25% to the GDP and this sector is the main engine of the national economy in Syria. This research aims to apply total quality management (TQM) to industrial banks of Syria. A random sample of 120 bank employees from higher and middle management were selected to investigate the current situation of TQM in the bank and to develop a new suitable TQM Model. The results show the levels of implementing TQM criteria in the industrial bank, and provide a proposed TQM Model with an implementation plan that could help other Syrian banks to apply TQM in an effective way.

  • تحسين نتائج استرجاع المعلومات العربية دلالياً باستخدام الأنتولوجيا

    إعداد الطالبة: أمل الخضري

    إشراف: د. مصطفى ياسين دقاق

    الورقة البحثية موجودة في الصفحة 41

    ملخص البحث :

    نظراً لانتشار المعلومات بشكل واسع وتنوع مصادرها فيناك حاجة لاستعادة المعمومات الهامة والمختصرة فقط بحيث تكون دقيقة, متناغمة في الربط بين العبارات ومنسقة في محتوى جديد بأقل وقت وجهد. يهدف هذا البحث إلى اقتراح طريقة لتحسين نتائج استرجاع المعمومات العربية دلالياً وذلك بتلخيص النصوص تجريدياً )Summary Abstractive )باستخدام خوارزميات معالجة اللغات الطبيعية )NLP ,)حل غموض معاني الكلمات (WSD (و قياس التشابهية الدلالية )Similarity Semantic )فيما بينها باستخدام الأنتولوجيا العربية Arabic .WordNet