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This study aims to analyze the effect of service quality on trust, satisfaction and loyalty by adopting two models, namely, conventional service quality model from Parasuraman and information systems (IS) success model from Delone and McLean.

Respondents of this study were users of shared-motorcycle services who filled out a complete questionnaire totaling 507. This research used a second-order structural equation model. All question items had quite high reliability and validity based on the result of confirmatory factor analysis with a value of average variance extracted and composite reliability which was higher than 0.70. The goodness of fit was quite good with the values x²/df = 2.493, incremental fit index = 0.921, Tucker-Lewis index = 0.917, comparative fit index = 0.921 and root-mean-square error of approximation = 0.054.

Online and offline ride-sharing services reveal a strong and positive influence on trust and satisfaction. Trust reveals a strong and positive influence on satisfaction and loyalty. Finally, satisfaction reveals a strong and positive influence on loyalty. The research in general shows that the quality of offline service is more influential than the quality of online service in the case of ride-sharing service provided by two companies in Indonesia.

The sampling frame of the research was diverse, including students of various collages and junior high schools, various private company workers and government employees. So, the results cannot be generalized to all populations especially to all Indonesian customers. It is recommended to increase the number of samples by focusing on the community groups of customers of public motorbikes, so that these groups can be compared. Next, the research finds that both service quality based on IS and service quality models reveal a strong and positive influence on loyalty both directly and indirectly.

The research uses respondents who use motorcycle services both online and offline. The findings of the research are important for online and offline ride-sharing motorbike service providers. They have to maintain their excellent services to the customers.

Collaborative inter-agency working is of paramount importance for the public protection agenda worldwide. The purpose of this paper is to disseminate the findings from a research study on the inter-agency working within adult support and protection (ASP) roles in the police, health and social care.

This realistic evaluation study with two inter-related phases was funded by the Scottish Institute for Policing Research. This paper reports on Phase 1 which identified existing gaps in the implementation of effective inter-agency practice by reviewing the “state of play” in inter-agency collaboration between the police and health and social care professionals. In total, 13 focus groups comprising representatives from Police Scotland (n=52), Social Care (n=31) and Health (n=18), engaged in single profession and mixed profession groups addressing issues including referral and information exchange.

On analysing context-mechanism-outcome (CMO), gaps in joint working were identified and attributed to the professionals’ own understanding of inter-agency working and the expectations of partner agencies. It recommended the need for further research and inter-agency training on public protection.

This unique Scottish study successfully identified the inter-agency practices of health, social services and police. By means of a modified realistic evaluation approach, it provides an in-depth understanding of the challenges that professionals face on a day-to-day basis when safeguarding adults and informed strategic recommendations to overcome the barriers to good practices in organisational working. The methods used to determine CMO could benefit other researchers to develop studies exploring the complexities of multi-causal effects of cross-boundary working. The use of the same case study in each focus group helped to neutralise bias. However, the voluntary nature of participation could have resulted in biased perceptions. The limited numbers of health professionals may have resulted in less representation of health sector views.

This paper reports on a Scottish study that focused on the coordinated and integrated practices amongst the police, health and social services’ professionals who support and protect adult members of society at risk of harm and has implications for their practice.

Whilst the focus of this study has been on ASP, the conclusions and recommendations are transferable to public protection issues in many other contexts.

Studies on the joint-working practices amongst police and health and social services’ professionals who support and protect adult members of society at risk of harm are uncommon. This study investigated professionals’ perceptions of gaps and concerns pertaining to integrated working by means of a realistic evaluation approach. It recommended the need for further research and inter-agency training on public protection.

This study aims to proposes a theoretical model to understand the intention of Indonesian traditional micro businesses (MB) to continue using an e-marketplace.

This research involved the utilization and combination of habit formation and social impact theories to develop the model. A total of 162 responses were retrieved from the owners of traditional MB and used to validate the proposed model.

The results showed subjective norms to be the most substantial direct predictor of continuous usage, followed by usefulness, satisfaction and promotion proneness. Meanwhile, compatibility was found to have only an indirect effect through usefulness as a mediator. Moreover, moderating effect analysis also showed that the impact of herd behaviour was only significant for male and younger traditional MB owners.

The emphasis on the seller perspective using habit formation as well as the social impact theory to explain continuance behaviour is an alternative approach observed not to have been widely explored, especially for traditional businesses such as indigenous industry rather than organizations.

This paper aims to examine mobile banking adoption in Islamic banks by integrating technology adoption model (TAM) and Religiosity-Behavioural Intention Model.

This study uses a sample of 300 mobile banking customers of Islamic banks from West Java Province, Indonesia. Partial least square was applied to assess the association between perceived usefulness, perceived ease-of-use, religiosity, satisfaction, and adoption.

The results of this study disclosed that the integration of TAM and Religiosity-Intention model provides a more complete explanation of Islamic bank consumers’ adoption of mobile banking. Besides perceived usefulness and perceived ease-of-use, the results of this study emphasise the importance of religiosity in mobile banking adoption.

This study offers an opportunity for Islamic bank managers to increase the adoption of their mobile banking services. To increase the adoption of mobile banking services, Islamic banks must not only provide an application that is useful and easy to use but also consider the customer’s religiosity. All of their mobile banking marketing strategies should focus on providing high-quality mobile service while ensuring the bank’s operations are compliant with the Islamic law.

This study is the first attempt to integrate TAM and Religiosity-Intention Model to assess mobile banking adoption.

Optimization involves changing the input parameters of a process that is experimented with different conditions to obtain the maximum or minimum result. Increasing interest is shown by antenna researchers in finding the optimum solution for designing complex antenna arrays which are possible by optimization techniques.

Design of antenna array is a significant electro-magnetic problem of optimization in the current era. The philosophy of optimization is to find the best solution among several available alternatives. In an antenna array, energy is wasted due to side lobe levels which can be reduced by various optimization techniques. Currently, developing optimization techniques applicable for various types of antenna arrays is focused on by researchers.

In the paper, different optimization algorithms for reducing the side lobe level of the antenna array are presented. Specifically, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), cuckoo search algorithm (CSA), invasive weed optimization (IWO), whale optimization algorithm (WOA), fruitfly optimization algorithm (FOA), firefly algorithm (FA), cat swarm optimization (CSO), dragonfly algorithm (DA), enhanced firefly algorithm (EFA) and bat flower pollinator (BFP) are the most popular optimization techniques. Various metrics such as gain enhancement, reduction of side lobe, speed of convergence and the directivity of these algorithms are discussed. Faster convergence is provided by the GA which is used for genetic operator randomization. GA provides improved efficiency of computation with the extreme optimal result as well as outperforming other algorithms of optimization in finding the best solution.

The originality of the paper includes a study that reveals the usage of the different antennas and their importance in various applications.

The primary goal of this research is to introduce a data-driven Problem-Solving Approach for Performance Improvement in Healthcare Systems (DPAPIH). This approach combines process mining and data mining techniques to enhance operational efficiency by identifying bottlenecks in Coronary Artery Bypass Grafting (CABG) procedures, particularly focusing on variability in Length of Stay (LOS) in the Intensive Care Unit (ICU). The study, implemented at Tehran Heart Center, aims to optimize patient flow, reduce ICU congestion and improve hospital efficiency by predicting and managing the occurrence of postoperative Atrial Fibrillation (AF), a significant cause of prolonged ICU stays.

The study introduces a data-driven problem-solving approach that integrates process mining and data mining techniques to improve performance in healthcare systems. Focusing on coronary artery bypass grafting (CABG) at Tehran Heart Center, the approach identifies bottlenecks, particularly variability in ICU length of stay (LOS) and predicts postoperative atrial fibrillation (AF). A mixed-methods approach is employed, combining quantitative process mining analyses with qualitative insights from expert consultations. The CHAID decision tree algorithm, alongside other models, is used to predict AF, enabling preemptive interventions, improving patient flow and optimizing resource allocation to reduce hospital congestion and costs.

The study reveals that postoperative Atrial Fibrillation (AF) significantly increases the length of stay (LOS) in the Intensive Care Unit (ICU), creating bottlenecks that delay subsequent surgeries and elevate hospital costs. A predictive model developed using CHAID decision tree algorithms achieved a prediction accuracy of 71.4%, allowing healthcare providers to anticipate AF occurrences. This capability enables proactive measures to reduce ICU congestion, improve patient flow and optimize resource allocation. The findings emphasize the importance of AF management in enhancing operational efficiency and improving patient outcomes in Coronary Artery Bypass Grafting (CABG) procedures.

This study presents an innovative integration of fuzzy process mining and data mining algorithms to address performance bottlenecks in healthcare systems, specifically within the coronary artery bypass surgery process. By identifying atrial fibrillation as a key factor in length of stay fluctuations and developing a robust predictive model, the research offers a novel, data-driven approach to performance improvement. The implementation at Tehran Heart Center validates the model’s practical applicability, demonstrating significant potential for enhancing patient outcomes, optimizing resource allocation and informing decision-making in healthcare management.

This study aims to theoretically investigate the effect of activating corporate governance (CG) mechanisms on the association between adopting corporate social responsibility (CSR) and tax avoidance (TA). Based on the analyzing of the previous studies, the authors support the results of studies that found a positive effect for activating CG on the adoption of CSR. Also, they found that there is a negative impact of activating CG mechanisms on TA, as CG includes controls and procedures that contribute to limiting opportunistic behaviors of management and ensures making decisions that maximize value for shareholders. To the best of the authors' knowledge, it is the only chapter that examines the effect of activating CG mechanisms on the association between CSR and TA.

Mangroves constitute an important ecosystem because of their global extent and high productivity. These plants thrive in the intertidal zones of the tropics and subtropics that are characterized by regular tidal inundation and fluctuating salinity. Mangrove species are well adapted, both morphologically and physiologically, to survive under saline conditions, but in hypersaline environment their growth is reduced. The present chapter is a critical analysis on the impact of salinity on the growth of a common mangrove species (Hertiera fomes). The analysis has been carried out in the framework of Indian Sundarbans, which has contrasting salinity profiles in different segments owing to barrage discharge and siltation phenomena. Analysis of the decadal profile of salinity indicates a gradual lowering in the western Indian Sundarbans due to Farrakka barrage discharge and run-off from catchments. The central sector, however, exhibits a contrasting picture of increment of aquatic salinity through time, mainly due to disconnection of the Bidyadhari River with the Ganga–Bhagrirathi–Hooghly River system (in the western part). This has made the Matla River in the central Indian Sundarbans hypersaline in nature (that used to get water from the Bidyadhari River) finally leading to an insecure ecological condition for the growth and survival of mangroves. The possible remedial measures to combat the situation have also been listed considering the ecological framework of the study zone.

The police service in London report a commitment to inspiring confidence from, and responding to the needs of black and minority ethnic communities. They are also committed to tackling the supply of crack cocaine and heroin, with which members of the Jamaican and Turkish communities respectively are strongly identified. Members of these communities report concerns about drug supply issues, but are extremely reluctant to co‐operate with the police to address them because they perceive that they are unfairly targeted, particularly by the stop and search strategy. The challenge is to implement a long‐term, community engagement programme with strategic level commitment.

This paper examines the social and institutional context of barriers to drug service throughcare and aftercare for prisoners in England and Wales, including those that specifically affect Black and minority ethnic prisoners. A research project in 2004 reviewed relevant literature and statistical data, mapped prison drug services, and sought the perspectives of relevant stakeholders: in total, 334 individuals were recruited to the study. The methodology facilitates analysis of the structure of services and the agency prisoner in accessing them. Recommendations are made for changes to the structure and delivery of prison drug services.