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The purpose of this paper is to explain the choice of Alpert multi‐wavelet as basis functions to discrete Fredholm integral equation of the second kind by using Petrov‐Galerkin method.

In this process, two kinds of matrices are obtained from inner product between basis of test space and trial space; some of them are diagonal with positive elements and some others are invertible. These matrices depend on type of selection of test and trial space basis.

In this process, solution of Fredholm integral equation of the second kind is found by solving the generated system of linear equations.

In previous work, convergence of Petrov‐Galerkin method has been discussed with some restrictions on degrees of chosen polynomial basis, but in this paper convergence is obtained for every degree. In point of computation, because of appearance of diagonal and invertible matrices, a small dimension system with a more accurate solution is obtained. The numerical examples illustrate these facts.

The purpose of this paper is to use Alpert wavelet basis and modify the integrand function approximation coefficients to solve Fredholm‐Hammerstein integral equations.

L²[0, 1] was considered as solution space and the solution was projected to the subspaces of L²[0, 1] with finite dimension so that basis elements of these subspaces were orthonormal.

In this process, solution of Fredholm‐Hammerstein integral equation is found by solving the generated system of nonlinear equations.

Comparing the method with others shows that this system has less computation. In fact, decreasing of computations result from the modification.

Financial technology (fintech) has emerged as a major player in the global financial system, providing a range of services such as payments, digital currencies, money transfers, loans, crowdsourcing, and insurance. Fintech startups in Arab countries have also gained traction due to economic openness and globalization. However, concerns remain about the safety, durability, and security of traditional financial services, especially with the increasing use of artificial intelligence (AI) and digitization. The Central Bank of Bahrain and other regulatory authorities need to balance risk avoidance with the global trend toward innovation in fintech, as well as ensure that these technologies are not used for fraud, money laundering, piracy, or terrorist financing. The Bahraini government and supervisory authorities must strike a balance between preserving the integrity and robustness of the financial and banking sector and developing innovation. This can be achieved by adjusting the rhythm of comparison, strengthening and enhancing the safety of banks, achieving financial stability, and ensuring compliance with laws and legislation. It is important to address gaps in regulatory rules, information security, and the business environment, and launch financial awareness at the community level before embracing the potential of fintech and its unseen future development at the level of cryptocurrencies and others. The current work examines the impact of Fintech on the Future of banking in Bahrain and the opportunities and challenges.

This paper aims to examine the integration of lateral transshipment and road vulnerability into the humanitarian relief chain in light of affected area priority to address equitable distribution and assess the impact of various parameters on the total average inflated distance traveled per relief item.

After identifying comprehensive critical criteria and subcriteria, a hybrid multi-criteria decision-making framework was applied to obtain the demand points’ weight and ranking in a real-life earthquake scenario. Direct shipment and lateral transshipment models were then presented and compared. The developed mathematical models are formulated as mixed-integer programming models, considering facility location, inventory prepositioning, road vulnerability and quantity of lateral transshipment.

The study found that the use of prioritization criteria and subcriteria, in conjunction with lateral transshipment and road vulnerability, resulted in a more equitable distribution of relief items by reducing the total average inflated distance traveled per relief item.

To the best of the authors’ knowledge, this study is one of the first research on equity in humanitarian response through prioritization of demand points. It also bridges the gap between two areas that are typically treated separately: multi-criteria decision-making and humanitarian logistics.

This is the first scholarly work in Shiraz focused on the equitable distribution system by prioritization of demand points and assigning relief items to them after the occurrence of a medium-scale earthquake scenario considering lateral transshipment in the upper echelon.

The paper clarifies how to prioritize demand points to promote equity in humanitarian logistics when the authors have faced multiple factors (i.e. location of relief distribution centers, inventory level, distance, lateral transshipment and road vulnerability) simultaneously.

This study seeks to investigate the interrelationships among sector reputation, purchasing stock intention, sector engagement and attitude toward the sector. Moreover, it aims to explore the moderating role of sector knowledge in the indirect relationship between sector reputation and purchasing stock intention, mediated by sector engagement and/or attitude toward the sector.

Drawing upon the theory of planned behavior, the research framework is empirically tested. A survey involving 300 potential and actual investors was conducted, representing individuals investing in tourism brands within the Egyptian stock market. The validity and reliability of the constructs were assessed using AMOS, while Hayes’s PROCESS macro was employed to examine the mediation and moderated mediation effects.

The findings reveal that sector reputation significantly influences sector engagement, attitude toward the sector and purchasing stock intention. Furthermore, the attitude toward the sector serves as an explanatory factor for investors’ propensity to purchase stocks of tourism brands. The study confirms the serial mediation effect of sector engagement and attitude toward the sector, respectively, in the relationship between sector reputation and purchasing stock intention. Additionally, it confirms the moderated mediation role of sector knowledge in the relationship between sector reputation and purchasing stock intention, mediated by attitude toward the sector.

The research outcomes suggest that executives in the tourism industry should identify key determinants to enhance purchasing stock intention by fostering greater sector engagement and fostering positive attitudes toward the tourism sector.

This study contributes to the existing literature by shedding light on the importance of maintaining a positive brand reputation and emphasizing the influential role of investors’ knowledge, engagement and attitude in shaping investment decisions in the stock market. These insights contribute to the understanding of investor behavior and have practical implications for organizations in managing their brand reputation and fostering positive customer–brand interactions in the stock market context, thus the current study was conducted.

This study aims to give a glimpse of the existing blockchain applications across industries and add to a complete knowledge of the blockchain’s properties.

Systematic literature review is used as the research strategy for this investigation and other aspects of the preferred reporting items for systematic reviews and meta-analyses framework have been incorporated to create a scholarly publications evaluation of the blockchain-based application in the financial arena and its future. The research looks at 86 studies published between 2018 and 2022.

There has been a steady but noticeable increase in the study of blockchain’s potential in many application domains over the past few of years. This rising tendency illustrates the newness and potential of blockchain technology, as well as the increasing attention from academics. According to the findings, blockchain is an appropriate solution for processing transactions using cryptocurrencies; nevertheless, it still has significant technical issues and limits that require to be exploring and solving before it can be considered a viable option. It is therefore, necessary to have a high level of reliability for payments and confidentiality, in addition to maintaining the anonymity of nodes, to stop assaults and efforts to disrupt transactions in the blockchain.

This study has several important theoretical and practical implications. First, it adds to the body of knowledge on blockchain and Fintech, focusing on the transaction side. While much blockchain research has focused on how the technology may affect strategic choices, this study has shed light on its potential from the perspective of financial reporting. Second, by highlighting the importance of the demand for the prompt identification of losses, this work adds to the body of knowledge on the factors that influence transaction frauds involving paper money. Additionally, by establishing the link between transparency and virtual transactions, the author backs up the asymmetric responses of investors to different investment possibilities. It looks at the evolution of financial technology (Fintech) and shows how it can be used to take the advantage of unique opportunities.

The study is different and novel from the previously published literature on this topic mainly because of its comprehensiveness, as it revolves around all industrial and commercial areas. The three main lines of research have been outlined, namely, classifying the many blockchain-based innovations that will alter the financial landscape in many industries; identifying whether these industries are a good fit for blockchain’s wealth creation potential; and directing researchers by outlining prospective study pathways.

Assembly lines are one of the places where energy consumption is intensive in manufacturing enterprises. The use of robots in assembly lines not only increases productivity but also increases energy consumption and carbon emissions. The purpose of this paper is to minimize the cycle time and total energy consumption simultaneously in parallel robotic assembly lines (PRAL).

Due to the NP-hardness of the problem, A Pareto hybrid discrete firefly algorithm based on probability attraction (PHDFA-PA) is developed. The algorithm parameters are optimized using the Taguchi method. To evaluate the results of the algorithm, a multi-objective programming model and a restarted simulated annealing (RSA) algorithm are used.

According to the comparative study, the PHDFA-PA has a competitive performance with the RSA. Thus, it is possible to achieve a sustainable PRAL through the proposed method by addressing the cycle time and total energy consumption simultaneously.

To the best knowledge of the authors, this is the first study addressing energy consumption in PRAL. The proposed method for PRAL is efficient in solving the multi-objective balancing problem.