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The purpose of this paper is to obtain analytic solutions of the (1+1) and (2+1)‐dimensional dispersive long wave equations by the homotopy analysis and the homotopy Padé methods.

The obtained approximation by using homotopy method contains an auxiliary parameter which is a simple way to control and adjust the convergence region and rate of solution series.

The approximation solutions by [m,m] homotopy Padé technique is often independent of auxiliary parameter ℏ and this technique accelerates the convergence of the related series.

In this paper, analytic solutions of the (1+1) and (2+1)‐dimensional dispersive long wave equations are obtained by the homotopy analysis and the homotopy Padé methods. The obtained approximation by using homotopy method contains an auxiliary parameter which is a simple way to control and adjust the convergence region and rate of solution series. The approximation solutions by [m,m] homotopy Padé technique are often independent of auxiliary parameter ℏ and this technique accelerates the convergence of the related series.

The purpose of this paper is to obtain analytic solutions of telegraph equation by the homotopy Padé method.

The authors used Maple Package to calculate the solutions obtained from the homotopy Padé method.

The obtained approximation by using homotopy method contains an auxiliary parameter which is a simple way to control and adjust the convergence region and rate of solution series. The approximation solutions by [m, m] homotopy Padé technique are often independent of auxiliary parameter h and this technique accelerates the convergence of the related series. Finally, numerical results for some test problems with known solutions are presented and the numerical results are given to show the efficiency of the proposed techniques.

The paper is shown that homotopy Padé technique is a promising tool with accelerated convergence for complicated nonlinear differential equations.

The purpose of this paper is to identify and prioritize the causes of delay in development projects and present strategies to reduce the delay.

The discussion includes the failure mode and effects analysis (FMEA) method for converting survey data, fuzzy risk priority number (FRPN) for prioritizing the delay factors, and the proposed solutions to reduce the delay of projects.

The research provided prioritized delay factors to show the importance of each delay factor in the projects by analyzing the survey data. Results show that lack of proper contract price to win the tender has the most impact on the delay of development project between delay factors.

This study offered some guidelines for people who are involved with contracts and development projects, so that they can use these suggestions to prevent possible factors that may cause delay in projects. This paper also demonstrated a process of analyzing the data which was provided by FMEA and FRPN methods.

This study aims to examine and validate the impact of marketing knowledge management (MKM) (assets and capabilities) on business performance (BP) via the mediating role of the digital financial innovation in Jordanian commercial banks.

Based on a literature review, recourses-based theory, knowledge-based theory and financial innovation theory, an integrated conceptual framework has been developed to guide the study. A quantitative survey approach was used, and the data was collected from 336 managers and employees in all 13 Jordanian commercial banks using online and in hand instruments. Structural equation modeling was used to analyze and verify the study variables.

The main findings revealed that the MKM had a significant positive influence on BP. Digital financial innovation acted as a partial mediators in this relationship.

This paper contributes to theory by filling a gap in the literature regarding the role of MKM assets and capabilities in commercial banks operating in developing countries such as Jordan. It empirically examines and validates the role of digital financial innovation as mediators between MKM and BP.

The purpose of this paper is to propose the use of case studies in teaching an undergraduate course of Internet for Business in class, based on the revised Bloom’s taxonomy. The study provides the empirical evidence about the effect of case-based teaching method integrated the revised Bloom’s taxonomy on students’ incremental learning, measured by the four constructs: knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement.

In this study, learning activities associated with the revised taxonomy-based learning strategy were proposed to support the development of higher-level cognitive skills. Revised application scale, higher-order thinking scale, practice evaluation knowledge scale and knowledge improvement scale were used to measure students’ perception of skills corresponding to their level of application, analysis, evaluation and creation, respectively. After completing each task pertinent to case studies, students were encouraged to complete the survey questionnaire. Structural equation modelling (SEM) was employed to examine the relationships between constructs. Students participate in a course where case studies are employed as the main learning activities to promote higher-order thinking. Upon completing the course, they fill in a survey to evaluate the four constructs of incremental learning: level of knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement. The relationships between the four constructs are then examined using SEM.

Analysis reveals that with the use of case-based learning activities, knowledge application creates a positive impact on higher-order thinking. Higher-order thinking has positive influence on practice evaluation knowledge. Eventually, practice evaluation knowledge produces a positive effect on knowledge improvement. The results show the desired effects of incremental learning.

The case studies designed for teaching the Internet for Business course might not be suitable in terms of content for other courses, which limit the implication of the findings.

The key implication is that cognitive process is enhanced by using case studies where learning activities are designed, based on the revised Bloom’s taxonomy.

The paper offers a comprehensive perspective on incremental learning where students’ knowledge of Internet for Business moves developmentally towards the higher-order cognitive process dimension of the revised Bloom’s taxonomy.

The purpose of this paper is to show that the meshless method based on radial basis functions (RBFs) collocation method is powerful, suitable and simple for solving one and two dimensional time fractional telegraph equation.

In this method the authors first approximate the time fractional derivatives of mentioned equation by two schemes of orders O(τ3−α) and O(τ2−α), 1/2<α<1, then the authors will use the Kansa approach to approximate the spatial derivatives.

The results of numerical experiments are compared with analytical solution, revealing that the obtained numerical solutions have acceptance accuracy.

The results show that the meshless method based on the RBFs and collocation approach is also suitable for the treatment of the time fractional telegraph equation.

Computing seepage discharge in earth dams involves inherent complexities and challenges that require the use of probabilistic algorithms to accurately capture their uncertain characteristics and identify optimal solutions. This study aims to investigate the impact of uncertainty in seepage flow estimation using a novel hybrid approach, combining the analysis of Laplacian equations with the probabilistic finite element method (PFEM) and a metaheuristic algorithm.

To achieve this purpose, a finite element-based FORTRAN program was developed to model the problem using the Galerkin finite element method, which was validated using laboratory findings. Subsequently, Monte Carlo loops were incorporated into each model, consisting of 2000 iterations and the probability distribution function and cumulative distribution function were computed for each sub-model. A total of 138 earth dams were analysed to investigate the influence of different characteristics on seepage, including variations in dam geometry, soil permeability and water levels (both downstream and upstream). Effective seepage flow (ESF), was introduced in both deterministic and probabilistic models.

The findings indicated that the downstream slope has a more significant impact on ESF than the upstream slope, with a difference of 1.29%. Additionally, the ratio of dam height to bottom width (H/B) directly affects the ESF, resulting in a 20% increase in ESF for every 16% increase in H/B.

This study introduces a novel hybrid approach for estimating seepage flow in earth dams by integrating the Unlike traditional deterministic models, which often overlook the inherent .PFEM with a metaheuristic algorithman advanced uncertainties in seepage characteristics, this research effectively captures these uncertainties throughprobabilistic framework.

Due to the rapid increase in global warming and environmental disasters, destination management and tourists' environmental awareness have increased. This increase in environmental awareness has led destinations to prioritize green practices that reduce environmental pollution. Moreover, in recent years, with the rapid development of technology, artificial intelligence technology has also been used in applications that reduce environmental pollution in destinations. This is because environmentally friendly products and services offered by destinations have started to have an impact on tourists' travel choices. Additionally, tourists' awareness and loyalty towards environmentally friendly destinations have started to increase, resulting in the formation of brand value for destinations. Therefore, green practices and AI technologies play a role in the formation of consumer-based destination green brand value.

Farmland transfer choice is strongly associated with the livelihood strategies of rural households. The 2014 Three Property Rights Separation (TPRS) reform has legalized farmland transfer practices in rural China, hence stimulating the farmland transfer market at the national scale. This paper aims to determine the extent to which rural family livelihood strategies are influenced by their participation decision in farmland transfer practices. Further, the authors examined the effectiveness of the TPRS reform on the impact of farmland transfer participation on rural household livelihood strategy choices.

Based on the sustainable livelihood approach (SLA) using data from a national rural household survey, the authors employ the logit model and the propensity score matching (PSM) method to estimate the impact of household farmland transfer participation. Its interaction effects with household livelihood capital on their livelihood strategy choices and diversification level are also investigated. The difference-in-difference (DID) model is employed to assess the effectiveness of the TPRS reform.

The results indicate that the participation in transferred-out farmland could improve rural households' non-agricultural livelihood strategies. While the participation in transferred-in farmland could improve the probability of rural families' engaging in pure-agricultural (PA) or agricultural-dependent (AD) livelihood strategies, the TPRS reform can attract specialized farmers to increase their farm size through the market solutions and encourage small farmers to leave their farmland to engage in more off-farm work.

This study contributes to the literature on farmers' livelihood by exploring the role of farmland transfer decision and the effectiveness of 2014 TPRS reform through the SLA approach.

The purpose of this paper is to examine the role of employees’ behavioural factors in increasing students’ loyalty. It specifically examines the direct and indirect mediations between employees’ service quality, trust and intimacy. The focus is on the effects of constructs of service quality (SQLTY), trust (TRUS) and intimacy (INTIMACY) on student loyalty (STLOY).

This study depended on a positivist research paradigm. A total of 800 structured questionnaires were administered. However, 743 were retrieved and coded for the final analysis. The analytical tool used in this study is the ADANCO 2.0.1 software and in terms of statistical processing, the PLS–SEM technique was utilised.

The findings on direct relationships reveal that INTIMACY is a strong predictor of STLOY, whereas service quality (SQLTY) is a predictor of trust (TRUS). The effect of indirect mediation between service quality (SQLTY), trust (TRUS) and intimacy (INTIMACY) on STLOY was not confirmed.

The study like any academic work has limitations. Despite these limitations, this study offers theoretical as well as practical value for the research community and administrators of universities and higher educational administrators as a whole.

The study emphasises the critical need for administrators of higher educational institutions to understand that the behaviours of their employees during the service encounter significantly affect intimacy and student loyalty.

The present study is unique because it quantitatively examined how the above-mentioned behavioural factors of employees lead to INTIMACY and STLOY. The use of a university for the research helped to develop a much better explanation of some of the salient considerations for STLOY. The value of this work rests in the complex quantitative relationships studied.