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Recently, the repairing of reinforced concrete (RC) structures attracted great research attentions, but the research interests were mainly concentrated on common repairing types. To this end, in this paper, a repairing of pre-loaded RC beams strengthened by aramid reinforcement polymers (AFRP) is presented. Furthermore, the purpose of this paper is to study the behavior of pre-loaded RC Deep beams under sustained load. The AFRP has many advantages such as controlling stresses distribution around the openings, controlling failure modes, and enhancing the structural capacity of pre-cracked RC beams.

Four specimens were experimentally tested: one specimen without strengthening, which is considered as control specimen, one strengthened specimen using AFRP without pre-cracking and two specimens subjected to pre-cracking load before prior to AFRP application. Furthermore, after validation of experimental data by using ANSYS software, a parametric study was conducted to investigate the effect of pre-damage level on shear capacity of RC beams. For pre-cracked beams, loading was first applied until the cracking stage, followed by specimen repairing with epoxy injection, and then the specimens were loaded again until failure point.

The result showed that pre-damage level and AFRP strengthening have great influence on the ultimate strength and failure mode. In addition, the results obtained from experimental tests were compared with those from numerical validation with ANSYS and showed good agreement.

Based on ACI guidelines, an analytical equation for calculating the shear strength of strengthened RC beams with openings subjected to pre-damage was then proposed, and the calculated results were compared with those from the tests, with differences not exceeding 10%.

Training centers and labs offer many applications suitable for beginners who want to know how to set and operate a computer numerical control (CNC) milling machine. However, few applications address a basic understanding of the machining process founded on mathematical principals in line with new high-speed and high-precision machining technologies. The purpose of this paper is to present a complex mechanism in a simplified way, explaining the subject at an elementary level.

The authors have developed an application of the CNC milling machine in a Matlab/Simulink package, obtaining the appropriate parameters mathematically. The project developed an analytical method using Matlab code to test the step response (the actual cutting force) under various parameters to ensure comparability of the designed model. The analytical results are in line with the developed model. The Matlab/Simulink user interface allows the application to better explain machining for educational purposes. Furthermore, by combining this mathematical model and the fuzzy controller, the high-speed constant-force milling control model has a user interface for data entry. The addition of two kinds of fuzzy controllers (look-up table and Mamdani) achieve a more educational environment compared with existing models.

The developed technique can be used in CNC milling machine centers and laboratories. For virtual training purposes, this paper provides a two-stage educational model, giving students the necessary feedback on what they have learned at each stage from the beginning use of the CNC milling machine, with and without the controller. The system also offers to track the step-response analysis method. This method overcomes the shortage of milling processes modeled by the traditional transfer function, which more accurately establishes the relationship between cutting force and cutting parameters.

This technique can be used in the CNC machine centers and laboratory for teaching beginner students and trainees. Real data from the workshop had been used.

The earlier versions of this manuscript were presented in: JVE International LTD. Vibroengineering Procedia. +2017. 14.; IEEE 4th International Conference on Information Science and Control Engineering (ICISCE) +2017.

This paper aims to investigate how students’ attitude (SA), students’ subjective norms (SN), students’ knowledge sharing intentions (KSI) can contribute to the enhancement of knowledge sharing behaviour (KSB) among students at higher education institutes (HEI) in Oman.

This study follows the quantitative methodology and the deductive causal research approach. The data were conveniently collected through a Web-based questionnaire (Google forms) from 285 active students who are affiliated to Omani universities. SPSS was used to statistically analyse the collected data, including partial least square-structural equation modelling (PLS-SEM V3.3) to draw the results.

The study concluded that SA has both direct and indirect positive impact on SN, KSI and KSB. Moreover, the result revealed that there is a mediation effect between SA and KSB through KSI, SA and KSI when SN is playing as a mediation role.

Although this study contributes to the existing body of knowledge, this study is limited by the scarcity of the related literature in the Omani context. It is recommended that these shortfalls be addressed together while improving the knowledge-sharing behaviour among students and administrative staff. Furthermore, the potential variation between academic staff and students in terms of factors affecting their intentions to share knowledge within HEIs should be explored.

This research provides policymakers in academic fields with the appropriate approaches to leverage the knowledge-sharing behaviour amongst Omani students with the understanding of the main factors affecting individuals’ knowledge-sharing behaviours.

This will help in improving the means of employing and practising knowledge-sharing strategies within HEIs, which can generate competitive advantages amongst students and institutions while benefiting knowledge management strategies and its members.

The importance of the study stems from its context being conducted in Oman as a developing country. In addition, this study is one of the initial attempts to investigate KSB by considering SA, SN and KSI and its applicability on HEI in Oman. The findings of the study can serve as inputs to HEI in developing best practices across KSB dimensions and expanding the knowledge-sharing culture amongst HEI’s students in Oman. One of the developed strategies is the spreading of the knowledge-sharing culture among students by positively directing their attitude towards the practices of knowledge exchange.

Implementing the 17 Sustainable Development Goals (SDGs) unarguably demands huge financial investments. However, the United Nations has acknowledged the huge financial gap militating against the implementation of the SDGs worldwide, leading experts to question the possibility of complete implementation of the goals by their terminal dateline of 2030. While the bulk of the finance currently outlaid on the SDGs comes from traditional sources including foreign direct investments (FDIs), there is the need to focus more attention on developing and exploiting impact investments that are more suitable for financing development programmes and projects. In this chapter, the SDG implementation profiles of the 12 Arab West Asia countries concerning the five most targeted SDGs were evaluated and sustainable finance issues were discussed. Secondary data were retrieved from World Bank's DataBank. The data were descriptively analyzed. Based on the profiles generated, debt relief is put forward as a possible impact investment mechanism suitable for funding the SDGs. Specifically, this chapter recommends that outright cancellation of debts based on the debt-for-SGD swap could serve as some of the impact investments needed to boost the global drive for a developed, peaceful, and just world.

In the COVID-19 pandemic, students were subjected to high pressure when they were forced to move to distance learning in a lockdown environment. Such a drastic move for communities living in groups with solid relationship ties comes at a price. This study aims to investigate the acceptance of distance learning amongst Omani higher education institutions (HEI) students during COVID-19 lockdown.

This is a quantitative research based on an online survey designed to study participants’ acceptance of distance learning during COVID-19 lockdown.

A sample of 757 Omani students was selected, of which 81.2% were female. About 60% of the students’ Age lies 15–20 years. The highest percentage (38.8%) of students belongs to the College of Arts and Humanities. A total of 80% of the students reported a moderate level of information technology skills, and also more than 80% of the students had never attended eLearning calls. Most of the students affirm the eLearning acceptance (students’ willingness to use eLearning tools for the tasks they are designed for), eLearning usefulness (using eLearning would enhance students’ performance), eLearning ease of use (the degree to which a student believes that using eLearning tools are free from effort), learning from home during COVID-19 and eLearning effectiveness (student’s satisfaction and the benefits student will gain from learning via online platforms). Multiple regression analysis confirms that more than 81% of the variation in the eLearning acceptance was explained by eLearning usefulness, eLearning ease of use, learning from home during COVID-19 and eLearning effectiveness independent variables. Moreover, these independent predictors have a positive association with eLearning acceptance.

This research intends to fill the gap in Omani HEI students’ acceptance of distance learning during the COVID-19 pandemic.

This article presents a general equilibrium model capable of assessing the impact of foreign price shocks on the real side of the oil‐based developing economies. The theoretical model departs from previous work in this area at least in that (1) the model takes into account endogenous income and price responses in all sectors of the economy; (2) it has two traded goods (exports and imports) and a non‐traded good; (3) it explicitly addresses the inherent open and small economic nature of developing countries; and (4) besides adjustments in the endogenous domestic prices, the model also allows for other structural adjustments. As such, the model combines the neoclassical macro theory with the structural micro approach. Empirical evidence deduced from an important oil‐based developing economy (Saudi Arabia) appears quite consistent with the model theoretical implications.

Growing environmental challenge awareness among consumers is today's business reality that pushes for sustainable product development. Governments, industries, and consumers' attention are significantly moved from traditional products to eco-friendly product development. Green product development is the future for manufacturing businesses' survival in most markets. Green product development is an emerging phenomenon and, unfortunately, lacks theoretical and empirical research regarding effective organizational policies and practices for green product development. This study aims at filling research gaps towards green product development by highlighting green employee aspects influenced by leadership for sustainable business growth. The study hypothesized relations between the green effect of transformational leadership on green product development as an outcome through green behaviour, green climate, and green innovative creativity. Data was collected from small and medium enterprises (SMEs) of Karachi through a self-administered survey questionnaire. Results revealed significant support for hypothesized relations through the partial least square statistical tool. This study contributes theoretical and empirical advancement in past literature wherein leadership style influences employee behaviour that leads to predict product development from an environmental perspective. Study inferences suggest for visionary green leadership style for sustainable business growth. Limitations of this study regarding other variable inclusiveness, sampling, and geography are potential extensions for further scholarly investigation.

The proponents of cash waqf speak highly about its huge potential for mobilizing the third sector of the economy to fund the socio-economic development agenda. However, the under-collection issue has been characterizing the cash waqf movement globally. This study aims to examine how understanding the distinct cash waqf donating behavior across different generations has the potential to address the problem.

This study extends the theory of planned behavior by adding religiosity and knowledge variables into the standard model, using the partial least square structural equation modeling. A survey is conducted on 684 respondents representing the main provinces in Indonesia and four major generations (Baby Boomers [BB], Generations X, Y and Z).

Religiosity, Knowledge, Attitude, Subjective Norms and Perceived Behavioral Control directly or indirectly affect cash waqf intention. The effect is contingent on the characteristics of generations.

This study covers only the Indonesian case with limited coverage of the more heterogeneous provinces in the country. The sample distribution for BB can also be enlarged.

Cash waqf institutions (government and private) should apply the dynamic segmenting strategy, where the diversification of the promotion, marketing, awareness and approaches are contingent on the different characteristics of each generation.

To the best of the authors’ knowledge, this is the first study evaluating the intergenerational determinants of Intention toward cash waqf, particularly in Indonesia.

The purpose of this paper is to examine the direct and indirect effects of demographic factors on employee compensation, job satisfaction and organizational commitment in private higher educational institutes in Bangladesh. Specifically, how do compensation structure and job satisfaction mediate in the link between demographic factors and organizational commitment? To answer this question, a theoretical framework using the theory of employee retention provided by Martin and Kaufman, as its basis was established.

Data (n = 515) were collected from faculty members of the private universities in Bangladesh. Structural equation modeling was used to analyze the data.

Findings indicate that though demographic factors have no direct impact on organizational commitment, they have indirect impacts on organizational commitment through the mediation of compensation structure and faculty job satisfaction. Besides, compensation structure also has a significant mediating role in the link between demographic structure and faculty job satisfaction.

One possible drawback is the number of private universities from which the data were collected. In the sample used here, only 20 private universities were selected to conduct the survey. Besides, the study could not include public universities that are also a significant part and parcel of higher education in the country. So, if more private and public universities were taken into consideration to collect the data, the results might be improved. Thus, the usual cautions about overgeneralizing findings from this sample, to populations for which it is not strictly representative, apply.

From a practical perspective, as a cumulative body of work on organizational commitment, we will be better able to advise policymakers and educators on the elements they need to address to increase the longer engagement of the faculty members in their institutes. In this study, the one area of findings that may help policymakers and educators the most concerns compensation package that affects job satisfaction and organizational commitment. We found that demographic factors and compensation packages are the most important factors for the faculty members to impact on organizational commitment in this study.

The social implication is that policymakers of the private universities can focus on fair justice in terms of demographic factors and compensation package for job satisfaction, motivation and organizational commitment of the faculty members in their universities.

The findings of the study are important for the policymakers of the higher education institutes.

This study aims to evaluate the users’ behavioral intention toward the acceptance and adoption of digital payment FinTech services in India. The study also compares the differences in Gen Y and Gen Z’s intention to adopt digital payment FinTech services.

The present study adopted both the unified theory of acceptance and use of technology (UTAUT) and the technology acceptance model (TAM) as its theoretical base and also added financial literacy and customer satisfaction. The data was analyzed by applying structural equation modeling using SmartPLS 4.

The outcomes of the study imply that customer satisfaction, effort expectancy and performance expectancy had a significant effect on behavioral intention. Moreover, effort expectancy, performance expectancy and perceived enjoyment had a significant influence on customer satisfaction, and effort expectancy and performance expectancy is significantly influenced by perceived enjoyment, while self-efficacy significantly influenced perceived enjoyment. Also, financial literacy does not moderate the relationship between effort expectancy, performance expectancy, facilitating condition and behavioral intention. Furthermore, the association of effort expectancy → customer satisfaction; perceived enjoyment → customer satisfaction; and perceived enjoyment → effort expectancy is moderated by age factor.

This study contributes by developing a more cohesive and unified model for assessing users’ behavioral intention toward acceptance and adoption of FinTech services by adopting constructs from the UTUAT and TAM and incorporating financial literacy and customer satisfaction to expand and enhance the theoretical prospect of the existing literature.