Science and technological developments in the material field have been currently dedicated to a super strong material potential based on nanotechnology. The super strong material can be created from the mixture of epoxy-resin polymer and SiO₂ (silicon dioxide) nanoparticles. Polymers exist as a nanoparticle adhesive due to nano-SiO₂, which possesses a high amorphic level, resulting in a stronger, more flexible, and stiffer combination than the current super strong material. The advantages of nanocomposite polymer using epoxy- resin and nano-SiO₂ produce strong and light products with an easier production process, utilizing local materials that can improve the following material quality. This study used four material variations, namely P30, P35, P40, and P45, combined with nanoparticles at 0%, 1%, 2%, 3%, and 4%. Based on the results, the highest compressive strength level was found on the PNK 40 EH2:1N1 mixture at 53.18 MPa with 1627 kg/m3 weight density. From the X-Ray Diffraction (XRD) test results, the following mixture had the lowest amorphic phase, while Fourier Transform Infra-Red (FTIR) test results showed that the following mixture absorbed more hydrogen elements, and Scanning Electron Microscope (SEM) observation on the following material mixture had more organized particle distribution.

Success key elements are crucial for the improvement and preservation of competitiveness in the ho-tel sector. Hotels thus need efficient employees with best possible quality of work life to remain competitive. This paper investigated the impact of organisational structure (OS) and leadership style (LS) on quality of work life (QWL) among five-star hotels employees in Jordan with job satisfac-tion (JS) as mediator. Questionnaires were distributed among 430 five-star hotel employees to ob-tain the study data. The levels of relationships among the constructs (OS, LS, JS, and QWL) were analysed using partial least squares structural equation modelling (PL-SEM). The results showed a positive relationship of JS and OS with QWL, while JS showed a partial mediating role on the rela-tionship among LS, OS and QWL. Similar studies should be carried out on other sectors in Jordan and in other settings using different perspectives.

Solid waste generation in Malaysia is one of the challenging environmental issues which are often neglected by local households. The main purpose of this research is to ascertain the mediating effect of environmental concerns (i.e., egoistic, altruistic, and biospheric concerns) between households’ descriptive norm and injunctive norm to practice the segregation-at-source of solid waste. A total of 400 residents living in townships in nine districts in the state of Selangor were selected via a multi-stage sampling method. A self-administrated bilingual questionnaire was used to collect the research data. As for the mediation test, the present research found that egoistic concern and altruistic con-cern mediated the significant relationship between injunctive norm and intention to practice the seg-regation-at-source of solid waste among the households in Selangor. The present research con-cludes with research implications and provides several avenues for future research in order to create a comprehensive understanding of the segregation-at-source of solid waste policy among Malaysian citizens.

The aim of this research is to investigate the gap or SERVQUAL scale amongst the findings of the previous studies for missing investigations and the impression to apply for overall standard quality management of three variables such as independent variable (Service quality), mediator variable (Patients’ Satisfaction) and dependent variable (Patients’ Loyalty) in Jordanian health care sector. Moreover, the current study aims to clarify the effects of the Total Quality Management (TQM) represented collectively by a specific strategy, leadership management, human resource focus information, client focus, method management, and analysis method management on customer loyalty. In order to test the objectives, a random sample size consisting of 800 national and international patient’s expectations from the private and public hospitals in the central region of Jordan was collected. The quantitative analysis was designed to conduct the survey, questionnaires, and gather the primary information to determine the category of data and techniques of data collection. The response data were analyzed using the IBM SPSS 19.00 version and Amos 20.00 version to assess the response value, descriptive statistic, screenings of the data composed of linearity and homoscedasticity, correlations, reliability, and validity. Multiple reliability results indicated that the dimensions of each experimental variables were considered reliable and satisfactory. Based on the outcome, this study verified that customer satisfaction carries a weak mediating effect. Moreover, the results exhibited that TQM had had a significant impact on both customer loyalty and customer satisfaction.

Most global studies have, to a greater extent, underscored the importance of Total Quality Management (TQM) practices and some marketing aspects concerning the organizational performance. Most studies have focused on establishing the level to which TQM practices influence customer satisfaction and not the whole organization. There is also little evidence on how marketing practices influence organizational performance. This study therefore seeks to assess the impact of TQM practices and marketing on organizational performance. Data was collected from a sample size of 289 respondents who were employees of the different manufacturing industries in Saudi Arabia. Data was analyzed using SPSS and Pearson’s rank correlation coefficient was used to establish the relationship between study variables. The study findings confirmed the presence of a relationship between TQM practices and organizational performance. Similarly, there was a positive relationship between marketing practices and organizational performance. The study concluded that the TQM practices and marketing are great influencers of quality hence should always be applied in organizations.

This study aims to investigate the effect of green value on attitude and sustainable transportation engagement and the mediating role of attitude on the relationship between green value and sustainable transportation engagement. A survey was carried out on students in a public university. A sample of 107 students was obtained for this study. The data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings show that green value and attitude had a significant influence on sustainable transportation engagement. In addition, attitude played a mediating role in the relationship between green value and sustainable transportation engagement. The study provides valuable contributions for both theory and practice in the area of eco-campus. Theoretically, the study extends the value-attitude-behavior model in the context of sustainable transportation and adds to the body of literature of eco-campus. This is among the first studies conducted in Malaysia that investigates factors that contribute towards sustainable transportation engagement among students. In terms of managerial significance, the results provide guidance to policymakers to help them plan for strategies to enhance students’ engagement in sustainable transportation in the future.

Idiosyncratic deals have been used by many organizations to achieve desirable employees’ behavior and work-related positive outcomes. Drawing upon the social exchange theory, this study aims at investigating the connections between idiosyncratic deals and work engagement. Besides, this study also scrutinizes the mediating role of psychological empowerment in the relationship between idiosyncratic deals and work engagement. This study applied smart PLS-SEM v.3.2 for the data analysis to ascertain the relationship between the study variables. Using an online survey, data are collected from 310 academicians working in the public higher education institutions of Pakistan. The finding of this study shows a significant positive relationship between idiosyncratic deals and work engagement. Furthermore, finding of the study also divulges that psychological empowerment mediates the relationship between idiosyncratic deals and work engagement. Hence the management and the policy makers in the public higher education institutions should focus on the provision of idiosyncratic deals based on the personal and professional needs of academicians to strengthen their feeling of psychological empowerment which subsequently results in fostering their engagement at work.

The field of strategic innovation (SI) has been garnering increasing research interest, with studies adopting and employing varying definitions and creating different methods for its measurement. Despite the innumerable studies, few have addressed manufacturing and small and medium-sized enterprises (SMEs), particularly those focused on Middle East countries, in light of the relationship between structural capital (SC) and SI. Hence, the present work is primarily aimed at examining the role of SC in SI and the performance of manufacturing SMEs. It employed the survey method to gather data from the study sample of 284 Yemeni manufacturing SMEs and the hypotheses were tested using Partial Least Squares-Structural Equation Modelling (PLS-SEM). On the basis of the results, there is a significant influence of SI on performance; SC also has a moderating role of on this relationship. The present study is expected to contribute to the creation of a measurement system for SI in SMEs, stressing each component of SI in enhancing the performance of such enterprises.

Ratcheting is a second failure mode in low cycle fatigue loading where plastic strain accumulates in each cycle. It is difficult to precisely estimate component deformation due to the complexities of cyclic hardening. In order to study the deformation, all types of hardening rules must be determined priorly. In this study, the determination procedures of combined hardening parameters are presented using Abaqus software. The experiment data of API-5L X80 from the past research have been utilized. Lastly, the different inputs of non-linear kinematic hardening choices are analyzed and presented.

COVID-19 has spread to more than a hundred countries worldwide since the first case reported in late 2019 in Wuhan, China. As one of the countries affected by the spread of COVID-19 cases, the local government of Malaysia has issued several policies to reduce the spread of this outbreak. One of the measures taken by the Malaysian government, namely the Movement Control Order, has been carried out since March 18, 2020. In order to provide precise information to the government so that it can take the appropriate measures, many researchers have attempted to predict and create the model for these cases to identify the number of cases each day and the peak of this pandemic. Therefore, hospitals and health workers can anticipate a surge in COVID-19 patients. In this research, confirmed, recovered, and death cases prediction was performed using the neural network as one of the machine learning methods with high accuracy. The neural network model used is the Multi-Layer Perceptron, Neural Network Auto-Regressive, and Extreme Learning Machine. The three models calculated the average percentage error (APE) values for 7 days and obtained APE values for most cases less than 10%; only 1 case in the last day of one method had an APE value of approximately 11%. Furthermore, based on the best model, then the forecast is made for the next 7 days. In conclusion, this study identified that the MLP model is the best model for 7-step ahead forecasting for confirmed, recovered, and death cases in Malaysia. However, according to the result of testing data, the ELM performs better than the MLP model.