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This work focused on a basic building block of an allocation unit that carries out the critical job of deciding between the conflicting requests, i.e. an arbiter unit. The purpose of this work is to implement an improved hybrid arbiter while harnessing the basic advantages of a matrix arbiter.

The basic approach of the design methodology involves the extraction of traffic information from buffer signals of each port. As the traffic arrives in the buffer of respective ports, information from these buffers acts as a source of differentiation between the ports receiving low traffic rates and ports receiving high traffic rates. A logic circuit is devised that enables an arbiter to dynamically assign priorities to different ports based on the information from buffers. For implementation and verification of the proposed design, a two-stage approach was used. Stage I comprises comparing the proposed arbiter with other arbiters in the literature using Vivado integrated design environment platform. Stage II demonstrates the implementation of the proposed design in Cadence design environment for application-specific integrated chip level implementation. By using such a strategy, this study aims to have a special focus on the feasibility of the design for very large-scale integration implementation.

According to the simulation results, the proposed hybrid arbiter maintains the advantage of a basic matrix arbiter and also possesses the additional feature of fault-tolerant traffic awareness. These features for a hybrid arbiter are achieved with a 19% increase in throughput, a 1.5% decrease in delay and a 19% area increase in comparison to a conventional matrix arbiter.

This paper proposes a traffic-aware mechanism that increases the throughput of an arbiter unit with some area trade-off. The key feature of this hybrid arbiter is that it can assign priorities to the requesting ports based upon the real-time traffic requirements of each port. As a result of this, the arbiter is dynamically able to make arbitration decisions. Now because buffer information is valuable in winning the priority, the presence of a fault-tolerant policy ensures that none of the priority is assigned falsely to a requesting port. By this, wastage of arbitration cycles is avoided and an increase in throughput is also achieved.

The purpose of this paper is to study the important factors which help explain consumer intention and use behavior in mobile banking (m-banking) adoption. All constructs of the unified theory of acceptance and use of technology 2 are studied. Non-monetary value is studied through perceived value. Trust and perceived risk are also included to predict intention.

A questionnaire was utilized to evaluate customer responses on a five-point Likert scale. A convenience sampling technique was used to collect data from a sample of 490 respondents in Pakistan. The data were analyzed using AMOS and SPSS for Cronbach’s α, CR, CMV, AVE, Harmon’s single factor test, correlation and structural equation modeling.

The results of the study show that most of the predictors of intention, including perceived value, performance expectancy, habit, social influence, effort expectancy, hedonic motivation (except for facilitating condition), perceived risk and trust, are significant. All predictors of usage behavior are significant.

A cross-sectional study was conducted due to time constraints.

Bank managers must focus on improving customers’ intentions to use m-banking as well as on providing facilitating conditions to increase its actual use. To boost mobile banking, banks’ management must consider the customers’ habits while designing their m-banking products.

The findings of this paper are not only interesting in terms of boosting m-banking diffusion rate, but also in terms of financial inclusion of the vast majority of mobile users. Further the impact of intention, facilitating condition and habit were checked on actual use behavior since people tend not always to act upon their intentions.

This study aims to propose and examine a research model where work engagement mediates the impacts of high-involvement work practices (HIWPs) on bank employees' turnover intentions. Specifically, the paper assesses: (a) the effects of empowerment, information sharing, rewards and training on work engagement and turnover intention, (b) work engagement as a mediator of the effects of these HIWPs on turnover intention (c) and functional competence as a moderator of the effects of these HIWPs on work engagement.

An online survey was employed to gather data from 343 employees working in commercial banks in Bangladesh. The authors applied partial least squares structural equation modeling to assess the aforesaid linkages.

Empowerment and information sharing increase bank employees' work engagement, while training and rewards reduce their proclivity to leave. Work engagement partly mediates the relationships of empowerment and information sharing to turnover intention. Functional competence moderates the relationship between three HIWPs (empowerment, information sharing and rewards) on work engagement.

The paper examines the association between HIWPs and turnover intention, which has been subjected to little empirical inquiry among bank employees during a crisis (e.g. Covid-19 pandemic). The paper provides new insights into the underlying mechanism linking HIWPs and turnover intention and highlights the moderating effect of functional competence. Additionally, the study offers new knowledge on the impact of the pandemic on bank employees' HIWPs. Finally, this paper used data gathered from bank employees in Bangladesh, which is an underrepresented Asian country in the extant service research.

Tremendous growth and worldwide expansion of Islamic banking industry has gained widespread attention of economist, bankers, investors and financial experts regardless of economic and political volatility in global banking industry. To compete with conventional banking, Islamic banks are setting up themselves with innovative technologies to gain competitive edge and market share. The establishment of mobile banking has been proven a technological wonder by eliminating time and space boundaries, and one can access financial services anywhere and at any time. For effective market segmentation, recognizing gender differences in factors affecting the adoption patterns of m-banking may provide competitive edge. Therefore, this paper aims to investigate how gender differences impact the intention to adopt Islamic mobile banking in Pakistan.

The study uses extended technology acceptance model (TAM) on final 243 participants from Pakistan. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) methodology has been applied for data analysis using SPSS 21 and AMOS 21.

Results have identified two interesting and different models for males and females in intention to adopt Islamic mobile banking. It is inferred that males are more task driven and desire for personality, value and status, so their intention is significantly impacted by perceived usefulness and perceived self-expressiveness. Whereas, females have found lack of IT knowledge and trust; therefore, their intention is significantly impacted by perceived credibility. However, the perceived financial cost was found of no concern for both males and females and social norms influenced the adoption, but there existed no significant gender differences.

The contribution of this study to existing literature is twofold. First, the existing research on mobile banking has mainly applied TAM on conventional banking overlooking the important ethnic group, the Muslims, who prefer Islamic banking. Second, the impact of gender differences is investigated in factors affecting intention to adopt Islamic mobile banking that has not been studied previously. The study fills the gap.

The purpose of this study is to examine the factors which affect mobile banking (M-banking) acceptance in Islamic banks of Pakistan by using the modified unified theory of acceptance and use of technology (UTAUT) model. The performance expectancy, facilitating conditions, social influence, effort expectancy, perceived value, habit and hedonic motivation are taken as independent variables. Similarly, the intention to adopt M-banking is taken as the mediator, and actual usage is used as the dependent variable.

The data are collected by using the survey method, and the five-point Likert scale is used for this purpose. The statistical techniques applied to the dataset were confirmatory factor analysis and partial least square structure equation modeling.

The empirical evidence shows that all the variables except for social influence have a significant positive effect on the intention which results in actual usage.

This study will help the Islamic banks in boosting the M-banking growth and decision-makers in crafting those strategies that increase the M-banking acceptance.

This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors which affect M-banking acceptance in Islamic banks of Pakistan by using the modified UTAUT model.

In the ever fast-changing modern world, through the use of digital banking services (DBS), the old concept of banking in a traditional way has been completely changed. It was made possible through the use of modern artificial intelligence embedded technologies. It was done to meet the ever-growing demands of customers through more user-friendly and time-saving uses of technologies. This paper aims to uncover and analyse the factors affecting the adoption of digital banking services by rural micro small and medium enterprises (MSMEs). MSME is one of the most active sectors in India. It plays an important role in the economic development of the country through exports and domestic supplies and by creating employment opportunities.

The study was conducted using a questionnaire survey. In total, 148 rural MSME owners were considered for the analysis in this study. Rural MSMEs in India are way behind in using digital banking services than their urban counterparts. The present study uses IBM SPSS and AMOS to shed light on the prevalent factors that influence the attitude to use digital banking services.

It is found out that convenience (which includes perceived usefulness and perceived ease of use), perceived self-efficacy, demonetization, performance expectancy and pandemic effect have a significant effect on the attitude to adopt DBS. The findings of the study will provide deeper insights for the banks as well as different government agencies to revamp their strategies in changing the financial landscape of the country through a “cashless economy”.

Demonetization, a boom in eCommerce in India, pandemic-related lockdowns or restrictions and the government’s push for the digital economy will aid the use of DBS at a faster pace. The outcome of the study will help both the government and the financial institutions to chalk out strategies to cater to the rural MSMEs in embracing DBS.

The use of digital services for banking in India is in a nascent stage, but the rate of adoption is increasing at a cyclonic speed. Affordable electronic devices, cheap internet and different medium of using DBS are fuelling the rapid increase; yet, limited research focuses on the differences in the rate of acceptance of digital banking services concerning rural MSMEs.

The purpose of this study is to propose an extended model of technology acceptance model (TAM) in the use of financial technology (Fintech) in the context of Islamic philanthropy, especially by studying and exploring the role of trust, image and religiosity in TAM, and to provide policy recommendation for the authorized organizations in Indonesia regarding several crucial factors that need to be considered so that Indonesian Muslims are willing to use Fintech for philanthropic purposes.

Online surveys were conducted to collect the data, of which 425 respondents have completed and returned the questionnaire. Multiple linear regression model and multi-variate analysis of variance are applied to test the statistical hypotheses.

This study supports the theory of reasoned action and the TAM. In which, the relationship between perceived ease of use and perceived usefulness with TAM is determined by trust and religiosity.

It is worth to note the limitation of this study lies in the sampling technique and data collection. Indonesia is a fast archipelago country and consists of 34 provinces, but not all of the provinces are represented in the sample. The selected respondent heavily depends on the previous respondent’s willingness to share the questionnaire. So that the number of respondents does not proportionate to region or province.

This study offers an extended model of TAM that has never been done before, namely, by exploring the role of trust, religiosity and image, in the context of Islamic philanthropy.

In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition, making customer satisfaction more challenging. As a result, it has become imperative for the industry to deftly navigate such ongoing challenges.

This study examines textile production efficiency methodically. Customer requirements like quality, on-time delivery, better working conditions, cost-effectiveness and facility safety audits are understood first. Quality function deployment (QFD) turns client requirements into technical requirements. Prioritise and analyse risks using Monte Carlo simulation and Pareto charts. Consequently, experts and literature propose corrective measures, which are tested in a pilot run to see how they affect production.

QFD, define, measure, analyse, improve and control (DMAIC) and Monte Carlo simulation were used to reduce high-priority risks and meet client requirements in this study. The house of quality helped relate customers’ requirements and technical requirements. Monte Carlo simulation has also improved risk prioritisation by providing a flexible mathematical structure for identifying and managing the most important risks.

This study is novel in the way it applies this integrated approach to the understudied home textile sector. Unlike traditional DMAIC, this study introduces a novel matrix encompassing all defects. This study offers a data-driven approach to improve product quality, meet customer expectations and reduce prioritised risks in home textile manufacturing.

The efficiency of each of an organization’s individual workers determines its effectiveness. The study aims to explore the relationship between human resource management (HRM) practices and organizational effectiveness with employee performance as a mediating variable.

Data were collected from 800 police officers in the Greater Accra and Tema regions. The data were supported by the hypothesized relationship. Construct reliability and validity was established through confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

The results show that career planning and employee performance were significantly related. Self-managed teams and employee performance were shown to be nonsignificantly related. Similarly, performance management and employee performance were shown to be nonsignificantly related. Employee performance significantly influenced organizational effectiveness. The results further indicate that employee performance mediates the relationship between HRM practices and organizational effectiveness.

The generalizability of the findings will be constrained due to the research’s police service focus and cross-sectional data.

The study’s findings will serve as valuable pointers for the police administration in the adoption, design and implementation of well-articulated and proactive HRM practices to improve the abilities, skills, knowledge and motivation of officer’s to inordinately enhance the effectiveness of the service.

By evidencing empirically that employee performance mediates the relationship between HRM practice and organizational effectiveness, the study extends the literature.

Corporate Social Responsibility (CSR) Implementation and Disclosure in the Banking Sector: the case of banks with Islamic identity in Syria. This study aims to explore Corporate Social Responsibility Disclosure (CSRD) in Syrian banks which have an Islamic identity, investigating their motivations when implementing and disclosing CSR and the challenges banks have faced. This study employed content analysis to extract knowledge from 33 annual reports published by three banks which have Islamic identity in Syria over the period 2008–2020. Semi-structured interviews were then conducted with five participants who are aware of CSRD policy in the banks in the sample, in order to gain a fuller understanding of their motivations in relation to CSR and any challenges they faced. This article draws on the overlap between Stakeholder and Legitimacy theories in order to explain the motivations of the banks in question. The study found that banks which have an Islamic identity increased their levels of CSR implementation during the conflict crisis but were not publishing details on these activities because of a concern regarding the Islamic modesty around charitable actions and to avoid upsetting the sensibility of beneficiaries. Interviewees commented that in the time of conflict crisis, many Syrians needed relief and support. Because of this, banks in our research sample decided to take responsibility to lessen the negative impact of the conflict crisis on the Syrian community. In addition, the analysis revealed that banks engaged with Environment and Human Right issues after 2013 because they wanted to fulfil the requirements of their national partners.