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Taking into consideration the current human need for agricultural produce such as rice that requires water for growth, the optimal consumption of this valuable liquid is important. Unfortunately, the traditional use of water by humans for agricultural purposes contradicts the concept of optimal consumption. Therefore, designing and implementing a mechanized irrigation system is of the highest importance. This system includes hardware equipment such as liquid altimeter sensors, valves and pumps which have a failure phenomenon as an integral part, causing faults in the system. Naturally, these faults occur at probable time intervals, and the probability function with exponential distribution is used to simulate this interval. Thus, before the implementation of such high-cost systems, its evaluation is essential during the design phase.

The proposed approach included two main steps: offline and online. The offline phase included the simulation of the studied system (i.e. the irrigation system of paddy fields) and the acquisition of a data set for training machine learning algorithms such as decision trees to detect, locate (classification) and evaluate faults. In the online phase, C5.0 decision trees trained in the offline phase were used on a stream of data generated by the system.

The proposed approach is a comprehensive online component-oriented method, which is a combination of supervised machine learning methods to investigate system faults. Each of these methods is considered a component determined by the dimensions and complexity of the case study (to discover, classify and evaluate fault tolerance). These components are placed together in the form of a process framework so that the appropriate method for each component is obtained based on comparison with other machine learning methods. As a result, depending on the conditions under study, the most efficient method is selected in the components. Before the system implementation phase, its reliability is checked by evaluating the predicted faults (in the system design phase). Therefore, this approach avoids the construction of a high-risk system. Compared to existing methods, the proposed approach is more comprehensive and has greater flexibility.

By expanding the dimensions of the problem, the model verification space grows exponentially using automata.

Unlike the existing methods that only examine one or two aspects of fault analysis such as fault detection, classification and fault-tolerance evaluation, this paper proposes a comprehensive process-oriented approach that investigates all three aspects of fault analysis concurrently.

This study aims to investigate the role of e-service quality and e-trust for achieving e-loyalty among digital library users in the digital economy. The current study examined the mediation effect of e-trust in the connection between e-service quality and e-loyalty.

Cross-sectional design was applied for the purpose of data collection and empirical findings of the study. Survey method was used for the purpose of data collection from 783 online digital libraries users.

Results reveal that e-service quality positively predicts e-trust in digital economy. Moreover, in digital economy e-trust predicts the e-loyalty. The findings also reveal that e-trust mediates the relationship between e-service quality and e-loyalty links.

The finding of study suggested that individual level e-trust have a strong effect on e-loyalty in digital economy. Individual level aspects in term of e-service quality have a direct effect on e-trust to improve their e-loyalty. The finding indicated that digital libraries users in future will be more loyal toward e-service quality providers. The results are useful for the management of digital libraries and academia for future. This is the first study that includes e-service quality, e-trust and e-loyalty in the context of digital economy.

The purpose of this study is to examine the impact of Islamic tourism intention on local tourists.

This research used quantitative methods. Online questionnaires were distributed and collected from those who know about Islamic tourism, have visited Islamic tourism in Padang, West Sumatra, Indonesia, and people who have the intention to visit Padang City as an Islamic destination. A total of 405 valid responses were gathered using non-probability purposive sampling and snowball sampling methods.

The results show that reputation significantly affects brand equity in terms of Islamic tourism for the satisfaction of local tourist. In addition, reputation significantly affects trust, intention significantly affects reputation and intention significantly affects trust regarding the impact of Islamic tourism on local tourist satisfaction.

To the best of the authors’ knowledge, the originality of this research is that it is the first to integrate the dimensions of brand equity (awareness, image, quality, value and loyalty) mediated by trust and reputation towards Islamic tourism intention.

Despite the significant growth in Islamic economies and the increasing number of Muslim youths inclining digital services, empirical-based research addressing the adoption of digital Islamic services is still scarce. Particularly, as a new term in the Islamic finance industry, ZakaTech has recently emerged as a modern term describing novel technologies adopted by zakat (compulsory levy on all believing and practicing high-net-worth Muslims) institutions; yet, it has largely been neglected in the literature. Therefore, this paper aims to propose an integrated model that scrutinizes the factors of unified model of acceptance and use of technology (UTAUT) of ZakaTech, combined with social cognitive theory (SCT), especially in a time of COVID-19 social distancing.

The UTAUT–SCT model was validated via SmartPLS structural equation modeling by using a valid sample of 510 users (individual zakat payers) from Saudi Arabia.

The results demonstrated the suitability of the integrated UTAUT–SCT model in predicting zakat payers’ intention to use ZakaTech services. This proposed model has 70% explanatory power to explain variance in intention. All UTAUT constructs are statistically significant, except for effort expectancy. Social isolation caused by the pandemic and trust in e-zakat system exerted a significant influence on the inclination to uptake ZakaTech services.

To the best of the authors’ knowledge, this research is among the first research that studies Muslims’ adoption of ZakaTech during COVID-19. Particularly, this study could add value to FinTech acceptance literature by empirically examining an integrated framework of UTAUT–SCT in a context as modern and unique as ZakaTech.

The purpose of this study is to investigate the determinants that likely influence the intention of using digital payment systems such as the Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. To achieve the purpose of the current study, the authors developed a new research model based on the extended unified theory of acceptance and use of technology (UTAUT2), with one of Hofstede’s cross-cultural dimension scales [uncertainty avoidance (UA)] to provide a further understanding of the JoMoPay system acceptance in Jordan.

A partial least squares-structural equation modeling approach was used to analyze the data collected by self-administration from the 270 employees working in the Jordanian public sector located in Amman city, the capital city of Jordan. Because most main public sectors are located in Amman and because of the cost and time considerations, the current study applied a non-probability sampling with the purposive sampling technique.

The empirical results reveal that the evident drivers of behavioral intention to use the JoMoPay system are significantly and positively influenced by social influence, UA, performance expectancy, price value and effort expectancy; therefore, the H1, H2, H3, H5 and H6 were supported. Conversely, the results show no significant relationship between facilitating conditions and the behavioral intention to use the JoMoPay system, and hence, the related hypothesis (H4) was not supported.

The results of this study provide beneficial information to the Central Bank of Jordan and other service providers in Jordan about employee intentions to adopt JoMoPay system and increase decision-makers’ knowledge on factors that have an important impact in UTAUT2 model.

The results of this study enable policymakers to understand the important factors that will enhance savings, investments and living standards, create job opportunities as well as reduce the poverty, the paper money printing cost, risks of money transportation cost and the risk of human errors.

The outcomes obtained will help both practitioners and researchers elucidate and understand the situation of digital payment systems acceptance among Jordanian public sector employees, as well as help them formulate plans to expedite the adoption process of digital payment systems in the case of UA.

This study aims to investigate consumer brand loyalty toward halal cosmetics using the theory of planned behavior through repurchase intention, which is primarily relying on the consumer’s attitude toward halal cosmetics. Important predictors such as trust on halal cosmetics, quality of halal cosmetics and religious beliefs of millennial Muslim female consumers shape consumer attitude.

The present study used the quantitative research design and deductive approach to collect the data from 275 halal cosmetics users in Pakistan by using a judgmental sampling approach.

Findings of the study provide useful insights for both theory and practice. The results support product quality, religious belief and trust on halal cosmetics as predictors of consumer’s attitude toward halal cosmetics that further develop consumers’ repurchase intention, which in turn enhances their overall brand loyalty. Besides, the findings also show that consumer repurchase intention has a mediating effect between consumer attitude toward halal cosmetics and consumer brand loyalty.

The current study helps in advancing practitioners’ understanding of female consumers’ brand loyalty in the halal cosmetics context. This study is considered to be greatly helpful for managers to gain knowledge about how repurchase intention and brand loyalty of millennial Muslim female consumers can be developed in the halal cosmetics segment, especially in the case of Pakistan.

Brand loyalty has been investigated by previous studies through different predictors and antecedents. This study contributes to the literature of brand loyalty by empirically examining and validating the different antecedents of consumer attitude that are accountable for creating consumer brand loyalty in the domain of halal cosmetics within the Pakistani cultural context. The current study also enhances the previous scholarly understanding on halal cosmetics by investigating the mediating role of consumer repurchase intention of halal cosmetics that further extends the discussion for both theory and practice.

This research studies the impact of introducing distributed generators (DGs) into a distribution network. The aim of this paper is to optimally site DGs based on economic, environmental and reliability indices are presented.

The considered network was modelled by using the network’s line parameters and capacity of the load bus with the help of Power System Analysis Toolbox. The location of the DG is based on voltage stability index and power loss reduction index. The DG energy sources considered are the diesel generator, solar photo-voltaic (PV) and wind generator, and the objectives were to minimize cumulative cost while maximizing reliability of the network. The Advanced Interactive Multidimensional Modelling System was used for the mathematical modelling.

The obtained results in the cases of introducing renewable energy into a network improves network performance. The benefits of renewable energy on the distribution network measured in terms of electricity production cost, gas emission cost, fuel cost and value of energy not supplied were positive. The research also showed that the total benefit of renewable energy reduces as the price of the renewable generators increases.

This paper introduces a new approach to determining the optimal location of DG for reducing line losses and improved voltage profile. A new cost modelling function based on external grid power transfer cost, technical losses and cost because of the various energies source is also introduced.

Environmental performance (EnPerf) needs to be critically studied so organizations can understand enhancing it. The purpose of this study is mainly to examine and explain the influence of beliefs and values of the human resources regarding religiosity (REL) and workplace spirituality (WS) on shaping an environmentally friendly work culture comprising environmental ethics (EE) and environmental passion (EP), to enhance EnPerf.

A survey methodology was used, and 316 responses were collected from the employees working in industries on the top list of polluting the environment using purposive sampling. Structural equation modeling was deployed to test the hypotheses.

This research is conducted to identify specific relationships of variables with the environment. It was discovered that WS affected EP and EE, positively affecting EnPerf.

This study guides organizations and their management to adopt WS, EE and EP, as these all increase EnPerf in the organization.

Not much work has been conducted on the environmental culture based on REL and WS, using the ability-motivation-opportunity theory. This research analyzes employees’ intrinsic factors, such as REL and WS, to develop EP and EE. Thus helping to comprehend how they can use to enhance EnPerf, which is the current priority for the organizations.

The concept of banking reputation has gained significant attention due to its relevance in the banking industry. A strong reputation has become crucial for a bank’s success, as it affects trust, credibility and stakeholders' perceptions. However, understanding and managing reputation in the banking sector involves several challenges. This study aims to analyze the field of banking reputation research through bibliometric analysis.

It explores the evolution of research in this area, identifies key journals, articles and authors, examines the main research streams, and identifies research fronts and opportunities for future advancement.

The findings reveal that banking reputation research has evolved over time, with multiple perspectives and viewpoints. Key journals and authors in the field are identified, and leading research streams are highlighted. The study also uncovers the conceptual and intellectual structure of the research domain, providing insights into the complex and multidimensional nature of banking reputation. Furthermore, the study emphasizes the importance of corporate social responsibility, sustainability practices and gender diversity in shaping a bank’s reputation. These factors play a significant role in attracting and retaining customers, accessing financial markets and securing funding.

The results contribute to the existing body of knowledge and provide researchers and practitioners with valuable insights for further exploration.

The paper concludes by outlining potential avenues for future research in the field of banking reputation.

This paper aims to investigate the influence of Islamic marketing ethics and convergence marketing on competitive advantage and bank performance.

This study is based on a survey of 204 Indonesian branch managers from the Islamic banking industry. Results were produced with the partial least square approach.

Results revealed that Islamic marketing ethics and convergence marketing have sufficient confidence to have significant influences on competitive advantage, producing a positive association with a competitive advantage. However, Islamic marketing ethics and convergence marketing did not influence bank performance directly. Competitive advantage positively mediated the relationship. Furthermore, organizational digital literacy did not moderate the relationship between convergence marketing and bank performance.

This study contributes to the conceptualization of convergence marketing and the identification of its effects on competitive advantage and bank performance. The identification of convergence marketing in this dissertation contains dimensions of mobile, security, foreign currency, holistic and interactivity as different aspects from the steps of Islamic banks to digitize their services to the internet in a single application. The results also indicate that convergence marketing does not have a direct effect on bank performance but has an indirect effect through competitive advantage. Convergence marketing must first create a bank advantage over its competitors to have a good effect on bank performance.

This study offers many opportunities for Islamic bank marketers to improve performance. Many Islamic banks currently do not implement Islamic marketing ethics consistently and thoroughly. The results of this study encourage Islamic banks by showing that the more intensive and consistent they are in implementing Islamic marketing ethics, the better their competitive advantage and the higher the performance. This effort can be done in various ways, such as offering tariffs/ratios of services transparently to customers, not exaggerating the benefits of the products offered to distort customer expectations, building brands that can strengthen customer confidence in Islamic banks and only offering products and services with high-quality standards.

This study uses a sample of Islamic banking so that it is still limited to certain types of banks. Future research needs to conduct model testing in different contexts such as conventional banking. In addition, further research needs to use the capabilities or capabilities of bank IT as a moderator in the effect of convergence marketing on bank performance. Future research also needs to control for more variables and use a scale that is more complex than the binary scale (for example, the percentage of share ownership or territory in the scope of the province or district/city).

This research views the Islamic bank competitiveness through the lenses of Islamic ethical theory and convergence marketing theory.