Factors Influencing the Effectiveness of Human Resource Training Programmes in Hotel Sector

Most hotels invest in implementing effective training programmes to maximize the inherent value of their existing human capital. However, it should be noted that the effectiveness of the programmes depends on whether trainees apply what they learned. This is a major concern among hotel operators. The main objective of this study is to explore the relationships between three influential factors which are work environment, individuals, and training process and the effectiveness of training programmes using Kirkpatrick evaluation model (1977). It is a correlation research using a mixed design of quantitative and qualitative methods. In the former method, a survey instrument was distributed to 297 participants who had attended and completed training programmes in five and four star hotels in ASEZA. The findings reveal that factors such as work environment, social support, the opportunity to perform and reward system, with the exception of organizational culture, influence and contribute to training effectiveness. Furthermore, ability and motivation of individual influence and contribute to training effectiveness with the exclusion of attitude. In addition. statistical analysis indicates that needs and design influence training effectiveness. All the factors demonstrate a positive correlation with training effectiveness and show a positive and significant relationship between them and training effectiveness. The qualitative method is used in the study in the form of a one-to-one interview using nine open-ended questions with human resource managers and training coordinators in the hotels. The findings support the outputs of the quantitative survey and consistent with previous studies except the organizational culture and the attitude. This study has contributed in bridging the gap concerning the influence by environment. individual and training process factors on the effectiveness of human resource training programmes. It also extends the literature of using the Kirkpatrick evaluation model (1977) to evaluate the effectiveness of training programmes particularly in Jordan. Finally, the study provides researchers with guidelines on conducting effective training programmes in the service sector

Local Jordanian Materials to Produce a Bakelite-base Construction Composite Material

In this investigation, a combined experimental approach of micro-structural observation and compressive load capacity testing were followed to determine the behavior of bakelite matrix material reinforced with Jordanian silica sand. It was found that the reinforced samples gave a higher maximum load capacity than the pure matrix, because the homogeneous structure helped in distributing the applied load between the matrix and the reinforcement. Moreover, the higher the volume fraction of the reinforcement, the higher the maximum load capacity of the composite. The maximum load capacity of the samples with 75% content of Jordanian silica sand was less than that of pure bakelite. On the other hand, the higher the particle size of the reinforcement, the higher the maximum load capacity of the composite. Composites of bakelite matrix gave a higher maximum load capacity than that of polystyrene matrix. In addition, a longitudinal brittle fracture was observed for the composites

Flow injection analysis for the photometric determination of promethazine-HCl in pure and pharmaceutical preparation via oxidation by persulphate using Ayah 3SX3-3D solar micro photometer

The first flow injection spectrophotometric method is characterized by its speed and sensitivity which have been developed for the determination of promethazine-HCl in pure and pharmaceutical preparation. It is based on the in situ detection of colored cationic radicals formed via oxidation of the drug with sodium persulphate to pinkish-red species and the same species was determined by using homemade Ayah 3SX3-3D solar flow injection photometer. Optimum conditions were obtained by using the high intensive green light emitted diode as a source. Linear dynamic range for the absorbance versus promethazine-HCl concentration was 0-7 mmol.L-1, with the correlation coefficient (r) was 0.9904 while the percentage linearity (r2%) was 98.09%. the L.O.Q was 3.97 µg/sample, while L.O.D (S/N=3) = 0.2407µg/sample (5 µmol.L-1) from the stepwise dilution for the minimum concentration of lowest concentration in the linear dynamic range of the calibration graph. The R.S.D% at 2 mmol.L-1 promethazine-HCl is less than 1% (eight replicates) using 150 µL sample volume. Throughput 30 sample.hr-1. The method was applied successfully for the determination of promethazine-HCl in pharmaceutical preparation. By using paired t-test it was shown that there was no significant difference between the proposed method and official method and on that basis the new method can be accepted as an alternative analytical method

A Software Evolution Process Model: Analysis of Software Failure Causes

This paper presents a study on the degree of impact of several components on the evolvability of software systems. In particular, it focuses on failure rates, testing, and other factors which force the evolution of a software system. Also, it studies the evolution of software systems in the presence of various failure scenarios. Unlike previous studies based on the system dynamic (SD) model, this study is modeled on the basis of actor-network theory (ANT) of software evolution, using the system dynamic environment. The main index used in this study is the destabilization period after the recovery from any failure scenario. The results show that more testing and quick recovery after failure are keys to a fast system return to stability

Electrical behavior and Optical Properties of Copper oxide thin Films

In this work the structural, electrical and optical Properties of CuO semiconductor films had been studied, which prepared at three thickness (100, 200 and 500 nm) by spray pyrolysis method at 573K substrate temperatures on glass substrates from 0.2M CuCl2•2H2O dissolved in alcohol. Structural Properties shows that the films have only a polycrystalline CuO phase with preferential orientation in the (111) direction, the dc conductivity shows that all films have two activation energies, Ea1 (0.45-0.66 eV) and Ea2 (0.055-.0185 eV), CuO films have CBH (Correlated Barrier Hopping) mechanism for ac-conductivity. The energy gap between (1.5-1.85 eV)

A Software Evolution Process Model: Analysis of Software Failure Causes

This paper presents a study on the degree of impact of several components on the evolvability of software systems. In particular, it focuses on failure rates, testing, and other factors which force the evolution of a software system. Also, it studies the evolution of software systems in the presence of various failure scenarios. Unlike previous studies based on the system dynamic (SD) model, this study is modeled on the basis of actor-network theory (ANT) of software evolution, using the system dynamic environment. The main index used in this study is the destabilization period after the recovery from any failure scenario. The results show that more testing and quick recovery after failure are keys to a fast system return to stability

The Impact of Microfinance and its Role in Easing Poverty of Rural Households: Estimations from Pakistan

This study examines if household access to microfinance reduces poverty in Pakistan, and if so, to what extent and across which dimensions of well-being by taking account of the multi-dimensional aspect of poverty. The study draws on first-hand observations and empirical data gathered through the interviews of 1,132 households across eleven districts in the rural areas of the province of Punjab in Pakistan. We employ a quasi-experimental research design and make use of the data collected by interviewing both borrower (treatment) and non-borrower (control) households and control for sample selection biases by using propensity score matching. It has been confirmed that microfinance programmes had a positive impact on the welfare of participating households, that is, the poverty reducing-effects were observed and statistically significant on a number of indicators, including expenditure on healthcare or clothing, monthly household income, and certain dwelling characteristics, such as water supply and quality of roofing and walls.Microfinance, Poverty, Impact assessment, Propensity score matching, Pakistan

Learning-Augmented K-Means Clustering Using Dimensional Reduction

Learning augmented is a machine learning concept built to improve the performance of a method or model, such as enhancing its ability to predict and generalize data or features, or testing the reliability of the method by introducing noise and other factors. On the other hand, clustering is a fundamental aspect of data analysis and has long been used to understand the structure of large datasets. Despite its long history, the k-means algorithm still faces challenges. One approach, as suggested by Ergun et al,is to use a predictor to minimize the sum of squared distances between each data point and a specified centroid. However, it is known that the computational cost of this algorithm increases with the value of k, and it often gets stuck in local minima. In response to these challenges, we propose a solution to reduce the dimensionality of the dataset using Principal Component Analysis (PCA). It is worth noting that when using k values of 10 and 25, the proposed algorithm yields lower cost results compared to running it without PCA. "Principal component analysis (PCA) is the problem of fitting a low-dimensional affine subspace to a set of data points in a high-dimensional space. PCA is well-established in the literature and has become one of the most useful tools for data modeling, compression, and visualization."Comment: acmart-LaTeX2e v1.84 17 pages with 12 figure

Which diameter and angle rule provides optimal flow patterns in a coronary bifurcation?

The branching angle and diameter ratio in epicardial coronary artery bifurcations are two important determinants of atherogenesis. Murray's cubed diameter law and bifurcation angle have been assumed to yield optimal flows through a bifurcation. In contrast, we have recently shown a 7/3 diameter law (HK diameter model), based on minimum energy hypothesis in an entire tree structure. Here, we derive a bifurcation angle rule corresponding to the HK diameter model and critically evaluate the streamline flow through HK and Murray-type bifurcations. The bifurcations from coronary casts were found to obey the HK diameter model and angle rule much more than Murray's model. A finite element model was used to investigate flow patterns for coronary artery bifurcations of various types. The inlet velocity and pressure boundary conditions were measured by ComboWire. Y-bifurcation of Murray type decreased wall shear stress-WSS (10%-40%) and created an increased oscillatory shear index-OSI in atherosclerosis-prone regions as compared with HK-type bifurcations. The HK-type bifurcations were found to have more optimal flow patterns (i.e., higher WSS and lower OSI) than Murray-type bifurcations which have been traditionally believed to be optimized. This study has implications for changes in bifurcation angles and diameters in percutaneous coronary intervention