A CONCEPTUALIZATION OF KNOWLEDGE MANAGEMENT STRATEGY TOWARD ORGANIZATION PERFORMANCE IN THE LIBYAN TRANSPORTATION INDUSTRY

This conceptual paper aims to examine the relationship between the knowledge management strategy and organizational performance in Libya transportation industry. Libya’s government policy proposals for public organisation reform have largely failed to encourage the development of information. The transport industry is suffering from a shortage of backward-integrated equipment. Most Arab nations have inherited their transparent authoritative practises from their previous founder legacies. This is despite the way in which the region needs knowledge management as never before due to the evolving way of global aggression. Also, the introduction and use of different information technologies in an enterprise will be the key to conducting knowledge management activities in the transport industry. The promotion of trust among members of intra- and inter-organizational teams is of primary concern for the establishment of a strong and sound knowledge base. It takes some time to establish a desired knowledge culture for the sharing of knowledge and exchange of knowledge. However, only a small section of the public would appreciate gains and any aspect of it could be overlooked by the rest. It should strive to develop the academic resources of the general public and involve people in basic leadership in general. JEL: L10; L25; L91 Article visualizations

MEASURING STRATEGIES FOR KNOWLEDGE MANAGEMENT AND ORGANIZATIONAL PERFORMANCE IN LIBYAN TRANSPORTATION INDUSTRY: STRUCTURAL EQUATION MODELLING

The purpose of this research is to measure the strategies for knowledge management and organisational performance in Libya using an approach to structural equation modelling (SEM). The research method of this analysis is a quantitative method only, where the total sample size is assumed to be 453 using simple random sampling. The structural model for this analysis showed the relationships between the variables. The results show that the framework of knowledge management is significantly related to the strategy of knowledge management, while knowledge management practise is significantly related to the strategy of knowledge management. However, the framework of knowledge management was found not to be very positively linked to organisational performance. Unexpectedly, in terms of significantly related to organisational performance, knowledge management activity has also not been considered relevant. Knowledge management approach, on the other hand, is positively linked to organisational performance and to the reciprocal relationship between the system of knowledge management and the practise of knowledge management. By offering an empirically validated model that could be used to forecast organisational performance as a whole, this study has added to established knowledge. JEL: L10; L25; L91 Article visualizations

DETERMINANTS OF KNOWLEDGE MANAGEMENT STRATEGIES ON ORGANIZATIONAL PERFORMANCE IN LIBYAN TRANSPORTATION INDUSTRY

The aim of this study is to identify the determinants of knowledge management strategies in the Libyan transportation industry for organizational performance. This study began to propose the research method through an Exploratory Factor Analysis (EFA), after proposing a testable conceptual framework, where the items of further research can have some light to move forward. For this analysis, the sample size was 529 and simple random sampling was employed. The results of this research indicate that the main aspects of organizational performance in the Libyan Transportation Industry are the knowledge management system, knowledge management process, knowledge management strategy, organizational performance. Through proposing an empirically validated research model that could be an important implementation tool for the success of the performance of the Transportation Industry, this research has added to established knowledge. JEL: L10; L25; L91 Article visualizations

Effect of different parameters controlling the flexural behavior of RC beams strengthened with NSM using nonlinear finite element analysis

Near surface mounted technique become the most attractive technique for strengthening RC structures. Several researches had been conducted to study experimentally the flexural behavior of RC members strengthened with NSM technique unlike the numerical researches. In this paper a numerical investigation utilizes the non-linear finite element (FE) modeling using ANSYS was performed. The developed FE model considers the behavior of the epoxy-concrete interface using a particular continuum damage approach, called cohesive zone model (CZM) which is capable of predicting the failure mode of the strengthened beams. The modified model study the effect of different parameters such as NSM bar number, NSM bar length, end inclination angle and end inclination leg length on the flexural behavior of strengthened beams. The results showed that, The developed FE model able to predict the expected modes of failure in NSM technique, the NSM bar length was effective till 0.5 of beam span, beams strengthened with end inclined angle 45º NSM bar gives the highest improvement in load carrying capacity, this improvement was very close in case of using end inclined angle of 60º and 90º

The Debt-Equity Ratio Choice: Risk Sharing Instruments, a Viable Alternative

Evidence has been documented in the literature that the interest based debt financing system is experiencing continuous discomfort. The outcome of the 2008 global financial crisis has further create fresh vigor to the assertion. Also, these authors have submitted that debt and leveraging are the two major causes of financial instability in the present system. This paper claims that the existence of the interest-based debt regime is becoming less acceptable, as excessive debt can affect the whole economic system, even in a developed country like United States. From an economic viewpoint, therefore, by banning interest rate-based contracts and decreeing exchange contracts, Islamic financeinspires risk sharing and prohibits risk transfer, risk shedding, and risk shifting. The paper proposes risk sharing based Islamic financing as a suitable alternative to the interest based debt financing. This study concludes that risk-sharing finance has several benefits, especially its potential to minimize, if not circumvent, the debt prompted financial crises that have beset the world.

Sterilization and extraction of palm oil from screw pressed palm fruit fiber using supercritical carbon dioxide

The supercritical carbon dioxide (SC-CO2) was successfully used in the complete sterilization as well as simultaneous extraction of oil from screw pressed palm fruit fiber. The studies were conducted at different temperatures (40, 50, 70 °C) and pressures (13.7, 20.7 MPa) for 60 min of extraction period. The bacteria, gram negative (Bacillus), present in the sample was completely killed at 20.7 MPa and 50 °C. Palmitic and oleic acid were found to be the major fatty acids in extracted oil. More saturated fatty acid were extracted at 50 °C and lower operating pressure (13.7 MPa). The unsaturated components, such as linoleic and oleic acids were extracted at higher pressures of 27.6 and 34.5 MPa, respectively. The fatty acids composition of the extracted oil analyzed using gas chromatography–mass spectrometry (GC/MS) includes caprylic, capric, lauric, myristic, palmitic, margaric, stearic, oleic, linoleic, linolenic, arachidic and gadoleic acids

A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: Study case on Malay word recognition

An off-line handwriting recognition (OFHR) system is a computerized system that is capable of intelligently converting human handwritten data extracted from scanned paper documents into an equivalent text format. This paper studies a proposed OFHR for Malaysian bank cheques written in the Malay language. The proposed system comprised of three components, namely a character recognition system (CRS), a hybrid decision system and lexical word classification system. Two types of feature extraction techniques have been used in the system, namely statistical and geometrical. Experiments show that the statistical feature is reliable, accessible and offers results that are more accurate. The CRS in this system was implemented using two individual classifiers, namely an adaptive multilayer feed-forward back-propagation neural network and support vector machine. The results of this study are very promising and could generalize to the entire Malay lexical dictionary in future work toward scaled-up applications