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This study aims to conduct a comprehensive bibliometric analysis, assessing studies related to service quality and customer satisfaction in Islamic banking.

Using a bibliometric approach, this research draws from literature samples retrieved in April 2023 from the SCOPUS database. The sample encompasses 138 articles published between 1999 and 2023, adhering to specific selection criteria. Analytical tools such as R program, VOSviewer and Microsoft Excel were used to categorise the data into three primary domains: productivity, citation patterns and network analysis. These categories further include the identification of research flows and prospective areas for further investigation.

The results indicate a substantial surge in publications between 2011 and 2022 involving 372 authors. This study identifies the primary contributors in terms of countries, affiliations, publications, sources and researchers. Seven distinct clusters emerged from the 138 papers, encompassing customer attitude, comparison studies, digital banking, customer loyalty, customer trust, consumer determinants and service quality. Additionally, the study outlines a future research agenda, posing specific research questions.

Recognising the limitations inherent in focusing solely on Scopus-indexed publications, future studies may benefit from incorporating various databases, such as the Web of Science, for a more expansive exploration of study units. A systematic review of articles on a specific topic could also enhance the comprehensiveness of the study.

This investigation empowers Islamic bank managers to devise targeted marketing plans, differentiating themselves from competitors. By implementing relevant improvements in operational and service processes, managers can enhance the customer experience, fostering a lasting competitive advantage. For academics, this study lays a robust foundation for further research, encouraging the development of a comprehensive conceptual model and empirical testing. The identification of current research gaps enables researchers to focus on areas that remain underexplored.

This study not only illuminates critical gaps in existing research but also proposes a research agenda to guide future researchers in remaining pertinent, particularly within the context of Islamic banking marketing.

The purpose of this study is to examine how halal marketing affects intention and to assess the mediating effects of halal awareness and halal attitude on the relationship between halal marketing and intention towards halal cosmetics.

This study adopted a quantitative methodology and used a convenience sampling approach to acquire data from 266 respondents from different regions of Bangladesh. The survey was conducted from December 2022 to February 2023. The data were analysed and hypotheses were tested using partial least square structural equation modelling.

The findings suggested that all the formulated hypotheses were significant, indicating that halal marketing positively influenced intention towards halal cosmetics. Moreover, the relationship between halal marketing and consumers’ intentions to buy halal cosmetics was mediated by halal awareness and attitude.

The practical implications of this study are pertinent for Bangladeshi marketers of halal cosmetics. The results of this study will enable the manufacturers and marketers in the halal cosmetics industry to better target their respective customer base. The findings suggest that marketers of halal cosmetics should focus on creating awareness and fostering positive attitudes towards halal products among consumers.

This research has incorporated and tested the impact of halal awareness and halal attitudes as mediating constructs on intention towards halal cosmetics and found both constructs exert a statistically significant impact. Moreover, this paper investigated the halal marketing construct as a higher-order construct consisting of different components of marketing, while previous studies have been found to consider halal marketing as a first-order construct.

User-generated content was explored to understand the public discourse surrounding the Vessel, a star architecture in New York. Through text analytics, the study aims to uncover topics, sentiments and themes in public opinion regarding this controversial building from social media data.

This study utilized a big data and text analytics approach, employing topic modeling with the BERTopic technique, sentiment analysis with roBERTa and thematic analysis on 10,259 Reddit comments pertaining to the Vessel.

The comments were grouped into 20 topics and seven themes, shedding light on discussions regarding the Vessel’s philosophy of existence, critiques of the architect’s approach, evaluations of project success or failure and considerations of the project’s future. Negative sentiments dominate the discourse, reflecting widespread criticism and skepticism towards the project.

The manual data collection method, due to API restrictions, precluded tracking evolving trends over time. Nevertheless, the study provides insights for architects, urban planners, policymakers and stakeholders involved in public space design and management, highlighting the importance of considering user feedback from social media platforms.

This study enriches our comprehension of how users perceive star architecture in the age of social media, focusing on hidden layers of discourse surrounding a controversial iconic building. By combining topic modeling and sentiment analysis, the study offers a novel approach to analyzing architectural public debates on social media platforms like Reddit.

This paper aims to define the socio-spatial considerations of apartment users in Cairo, during their decision-making process. It provides a set of socio-spatial guidelines for professional architecture designers that are based on regionalist sociological theories and the evaluation of participant responses. These guidelines can also help users choose better plan configurations or make socially conscious adjustments as formal residential interiors in Egypt are not arranged based on social interaction at home or the cultural specificity of the region. On the other hand, users have little clue about choosing better plan configurations for sustainable social relationships. Moreover, the private housing sector has mostly neglected the social boundaries that traditionally shaped home interiors. This is because the designers focus on physical attributes to satisfy market demand and economic aspects.

The research reviewed past literature on the impact of different home arrangements relative to inhabitant and social relationships. Simultaneously, preliminary open-ended sorting surveys were undertaken at the Cityscape 2020 exhibition. Based on the results, a comprehensive online survey was developed to map the socio-spatial preferences of users. Finally, a sample of 150 apartment plans was analyzed by using the justified plan graph (JPG) theory to reveal the most common arrangements in the speculative market, measuring unit depth.

The findings of this study will benefit the following: practitioners, including architects and real estate developers, will be able to learn about end-user preferences and offer better products (residential units). Designers can rely on a reference that visualizes recommended home arrangements in the form of justified graphs. This research will expose the academic theories that currently shape residential plans and those that are overlooked and need to be applied. Academics, on the other hand, will learn about the market, and the extent of the influence of architectural theory.

The value of this paper lies in the gathering of theoretical recommendations on traditional home arrangements and investigating the preferences of both professionals and laypeople when choosing between apartments. The open-ended study in this research will test its efficiency in the Egyptian context and serve as a reference for future social studies. It highlights the importance of cultural adequacy and how to design homes related to local residents’ natural lifestyle, by doing so, people will be able to overview the options available in the market and how to manipulate their own houses to control or encourage different social interactions.

The proposed model has been aimed to predict stock market signals by designing an accurate model. In this sense, the stock market is analysed by the technical analysis of Japanese Candlestick, which is combined by the following meta heuristic algorithms: support vector machine (SVM), meta-heuristic algorithms, particle swarm optimization (PSO), imperialist competition algorithm (ICA) and genetic algorithm (GA).

In addition, among the developed algorithms, the most effective one is chosen to determine probable sell and buy signals. Moreover, the authors have proposed comparative results to validate the designed model in this study with the same basic models of three articles in the past. Hence, PSO is used as a classification method to search the solution space absolutelyand with the high speed of running. In terms of the second model, SVM and ICA are examined by the time. Where the ICA is an improver for the SVM parameters. Finally, in the third model, SVM and GA are studied, where GA acts as optimizer and feature selection agent.

Results have been indicated that, the prediction accuracy of all new models are high for only six days, however, with respect to the confusion matrixes results, it is understood that the SVM-GA and SVM-ICA models have correctly predicted more sell signals, and the SCM-PSO model has correctly predicted more buy signals. However, SVM-ICA has shown better performance than other models considering executing the implemented models.

In this study, the authors to analyze the data the long length of time between the years 2013–2021, makes the input data analysis challenging. They must be changed with respect to the conditions.

In this study, two methods have been developed in a candlestick model, they are raw based and signal-based approaches which the hit rate is determined by the percentage of correct evaluations of the stock market for a 16-day period.

Running advertising campaigns and attracting the traffic, as well as collecting information from users who have entered the website once, provides the conditions to perform retargeting campaigns and consequently increases website visit rates and sales. The purpose of this research is to design a roadmap of retargeting campaign for small and medium enterprises (SMEs), as well as to compare normal and retargeting advertising campaigns in order to confirm the effectiveness of retargeting campaigns.

A single-case-study strategy was adopted by choosing advertising Company-X to design the roadmap of retargeting campaigns and evaluate its effectiveness. Using a purposive sampling, semi-structured interviews were conducted with 14 experts of advertising Company-X. Furthermore, the documents and reports available in the company were also analyzed. Thematic analysis was employed to analyze the interviews and documents. Next, a one-way ANOVA test and a two-sample t-test were used to measure the effectiveness of retargeting campaigns of the Company-X compared to normal campaigns with secondary data of 22 SMEs for a six-month period.

The qualitative phase led to the presentation of a roadmap for the retargeting campaigns in three stages: preparation, process and implementation. The results of the quantitative phase revealed that the ratio of clicks to impressions (click-through rate) and the ratio of successful purchase tags to clicks (conversion rate) are much higher in the retargeting product campaign. Therefore, the performance of selected SMEs as an example in the product retargeting campaign was better than that of the non-retargeting campaigns. Also, the ratio of cost to the successful purchase tag was higher for the product retargeting campaigns.

This study contributes to the literature of retargeting. First, this study provides SMEs with a successful roadmap for retargeting campaigns. Second, this research reveals the effectiveness and mechanism of retargeting for SMEs.

Financial technologies form the heart of considerable disruptive innovation. Fintech is the emerging financial infrastructure for modern business. Big data are the feedstock for artificial intelligence (AI) that drives many fintech sectors – start-up finance, commodities and investment instrumentation, payment systems, currencies, exchange markets/trading platforms, market-failure response forensics, underwriting, syndication, risk assessment, advisory services, banking, financial intermediaries, transaction settlement, corporate disclosure, and decentralized finance. This chapter demonstrates how analyzing big data, largely processed through cloud computing, drives fintech innovations, scholarship, forensics, and public policy. Despite their apparent virtues, some fintech mechanisms can externalize various social costs: flawed designs, opacity/obscurity, social media (SM) influences, cyber(in)security, and other malfunctions. Fintech suffers regulatory lag, the delay following the introduction of novel fintechs and later assessment, development, and deployment of reliable regulatory mechanisms. Big data can improve fintech practices by balancing three key influences: (1) fintech incentives, (2) market failure forensics, and (3) developing balanced public policy resolutions to fintech challenges.

Drawing on institutional theory analytical perspectives of theorisation and translation, this study aims to explore the institutionalisation of eXtensible Business Reporting Language (XBRL) in Indonesia from a regulatory and filer perspective.

The Indonesian capital market offers a unique case of the integration of XBRL regulatory reporting between multiple regulators and a transfer from capital market regulation to state-level regulation. This study uses semi-structured interviews with key actors employed with Indonesian XBRL-regulatory bodies and listed companies (filers).

External pressures, monitoring issues and tensions in the implementation process were instrumental in the theorisation and translation of XBRL in Indonesia. Specifically, the findings show that choices made with respect to XBRL regulation and implementation created tensions between XBRL reporting fulfilling a monitoring purpose and serving stakeholders’ interests. The findings also indicate that the Indonesian approach to XBRL regulation and implementation had distinct characteristics compared to XBRL implementation in other jurisdictions.

This study emphasises the necessity for robust regulatory support and strict enforcement to navigate the complexities and tensions arising from a multi-regulatory approach. Additionally, it stresses the importance of firms’ readiness and expertise in XBRL as more sophisticated implementation strategies are considered.

Using the analytical lens of theorisation and translation, the study provides a deeper understanding of how a globally diffused accounting technology was institutionalised and legitimised in a developing country. Specifically, this study explains why a conversion approach to XBRL implementation was favoured and how XBRL implementation and reporting were managed and coordinated between different Indonesian regulators.

Organizations remain a vital sociological topic, but organizational sociology, as a subfield, has evolved significantly since its inception. In this paper, I argue that organization sociology is becoming increasingly disconnected from organizational theory, as currently conceived. The focus of sociological research on organizations has become more empirically grounded in the study of social problems and how organizations contribute to them. Sociologists continue to see organizations as important actors in society that play a role in shaping social order and as contexts in which social processes play out. I propose two main sociological approaches for organizational research, which I describe as “organizations within society” and “society within organizations.” The first approach examines the role of organizations as building blocks of social structure and as social actors in their own right. The second approach treats organizations as platforms and locations of social interactions and the building of community. These approaches are somewhat disconnected from the sort of grand theorizing that characterizes much of organizational theory. I argue that the problem-oriented sociology of these two approaches offers a vital way for organizational scholars to expand and theoretically revitalize the field.