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This paper aims to analyze the scientific trend of research on Islamic banking sustainability (IBS) through a bibliometric study. In particular, the paper extensively investigates all the articles issued through the Scopus database regarding the IBS.

The authors discovered 76 papers that met the function, subject and set requirements by using the phrase IBS. The authors used VOSviewer as an analytical tool and the Scopus website.

IBS publications were found in the period 2005–2022, and the publication trend of IBS research demonstrates that it is growing exponentially after 2018. Malaysia is the leading country in terms of productive authors, universities, number of documents, citations and collaboration research on IBS. The current research trends are summarized into five cluster maps for future research directions: sustainability measurement, sustainability practices, risk and governance, corporate social responsibility (CSR) and IBS theory. The Maqashid al Shariah approach conceptually influences the framework for constructing the dimensions and indicators used to measure the IBS.

The authors retrieved data for their research from the Scopus database; using other databases might result in totally different research patterns with this IBS bibliometric research.

The research encompasses valuable implications for Islamic banking as it offers valuable insights on how to assess the performance of IBS. Particularly, it contributes to identifying the dimensions and indicators needed to measure IBS performance. Furthermore, this research provides strategic initiatives to promote sustainable practices in Islamic banking in terms of green financing taxonomy, services, operations, risk management and governance.

This research is valuable for other scholars as it offers a foundation for the future growth of IBS research, focusing on important sustainability clusters obtained from selected reputable journals. This research is beneficial for regulators in enhancing the roadmap for establishing and enhancing long-term IBS with impacts on socio-economic, environmental and governance.

The study presents a concise review of the bibliometric study in IBS and provides recommendations for future research directions in cluster mapping of themes and subthemes. There is still insufficient research that examines the IBS, in particular, complete insights into the IBS literature review.

This study aims to delve into the impact of the Pradhan Mantri Jan Arogya Yojana (PMJAY) on the well-being and quality of life of beneficiaries in Surat City of India. Employing correlation and regression analyses, the study uncovers significant correlations between Awareness, Healthcare Utilisation, and Financial Burden Reduction with well-being outcomes.

The investigation employs a structured questionnaire to gather data from 250 beneficiaries, exploring the relationships between Awareness, Healthcare Utilisation, Financial Burden Reduction, Well-Being and quality of Life. The data was collected using a structured questionnaire using a survey method.

The results highlighted the crucial role of Awareness in empowering beneficiaries to make informed healthcare decisions, positively influencing their well-being. Furthermore, the study underscores how active engagement with PMJAY's healthcare services enhances well-being. The mitigation of financial burdens emerges as a pivotal factor, signifying the program's efficacy in improving beneficiaries' quality of life.

The comprehensive model presented in this study reveals that PMJAY's multifaceted approach is pivotal in promoting enhanced well-being and quality of life among beneficiaries. These findings affect public health policies seeking to create holistic interventions that holistically address vulnerable populations' healthcare access, financial burdens, and overall well-being.

This content analysis of 62 local news stories from seven US locations published between March 1 and June 30, 2020, reveals how the migration of seasonal residents and short-term renters into leisure and nature-focused amenity-rich settings during the COVID-19 pandemic changed the social meaning of home for year-round and seasonal or part-time residents. Four themes emerge relating to (a) local economies; (b) health and safety; (c) local government; and (d) insiders and outsiders. These themes are connected to each other in the larger explanatory story of second home real estate morality projects, defined as dilemmas, deliberations, and conflicting considerations made by individual and group stakeholders in the evaluation of acquisition, use, meaning, and dispossession of properties meant for residential use beyond the primary residence. Findings reveal that moral considerations of deservedness and citizenship among local residents and short-term residents are framed as deep and incompatible concerns surrounding economic stability and public health. This COVID-19-induced moral framing of the interplay between economic, health, and social concerns is situated in a cultural-relational analysis of marketplaces, using Viviana Zelizer’s (2005) “connected lives” approach to understanding how everyday economic interactions among and within families and neighborhoods are imbued with social and cultural meaning even in a time of crisis.

India has been on the pathway of improvement concerning healthcare and health outcomes of its population. However, India must overcome its unique challenges and cover a long journey ahead. This mandates a need for a high-quality, contemporary and community-based health system that promises consistent and quality healthcare, is trusted and valued by all its citizens, considers the changing population needs and should be affordable and accessible.

The study examines various dimensions and elements associated with the integrated healthcare system in India and uses input, process and output structural measures.

The present paper proposes an integrated, comprehensive healthcare system in India that endorses participation from diverse stakeholders such as the government, organizations, the community and individuals who can contribute uniquely. It also focuses on defined and measurable output that can make health a topic of social movement or “Jan Andolan” and create a sustainable and integrated care system.

The study is unique as it focuses on the role of stakeholders in health care. The research emphasized the involvement of the government, community, people and organizations in developing an integrated healthcare ecosystem that includes modern technology, skilled employees, enough finance, governance, efficient delivery platforms and top-tier infrastructure. The model’s output is focused on healthcare that is inexpensive, accessible, available, accountable and user-centered. This would gradually improve everyone’s health and well-being.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

This qualitative study aims to examine bankers’ perspectives regarding financial inclusion, the challenges it faces and the scope for improvement. This research proposes a financial inclusion model, considering the inputs received by bankers. Financial exclusion of different sections is an issue common to emerging countries.

Data for qualitative research were collected through interviews with bank officials. The information was gathered from 32 bankers from India’s several zones (North, South, West and East). The data were collected from bankers from different public and private sector banks. Thematic analysis was performed up to the point of saturation to study the response received from bankers.

Bank-related issues such as frequent computer problems, network connectivity problems, costs, a shortage of bank branches, fewer transactions through automated teller machines and a shortage of banking staff affect customers’ confidence in formal banking. Banking services are disrupted by a lack of trust in banking correspondents (BCs), as they are not regular employees of banks. Limits on daily transactions discourage high-value customers from using BCs and kiosks. The time spent on administrative formalities impacts customers. Financial inclusion is affected by availability, accessibility, usage and affordability. Digital financial literacy is essential for ease of transaction, but awareness about financial products helps protect customers from cyber scams. The findings of this research would benefit financial institutions globally in developing their businesses and helping to achieve financial inclusion and the United Nation’s sustainable development goals (SDGs).

This research paper undertakes a qualitative analysis of the views collected from bankers. Bankers are crucial stakeholders in the successful implementation of the National Financial Inclusion Policy of the Government of India. Bankers’ perspectives will be important not only for India and its researchers but also in the global context, as the UN’s SDGs focus on leaving no one behind.

The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. They challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

Islamic banking has undergone significant adaption since its inception. This study aims to investigate why and how Islamic banks adapt their services, using participatory financing as evidence.

A qualitative study is designed, using working capital financing and commodity operations financing in Pakistan as analytical units. The data for each analytical unit is analyzed using a qualitative content analysis, while the findings are synthesized using a cross-case synthesis method.

Findings suggest that participatory financing has undergone extensive adaptation in the Islamic banking industry of Pakistan, in the wake of resolving constraints to participatory financing and increasing its viability. Consequently, participatory finance has emerged as an attractive and viable option in Pakistan. These findings suggest that unlike in the past, where Islamic banks used to buffer themselves from the environment and ignore the market demands, they have learned to respond effectively to the market demands and the challenges posed by the environment.

Findings suggest that the adaptation strategy is more effective than the migration strategy, because it enables the financial service systems to reduce the underlying risks by avoiding emergent threats and eradicating the inherent weaknesses.

The extant literature provides a generalized view on the adaptation process that Islamic banks undergo to comply with their environment. However, it is limited in terms of conceptualizing the adaptations and innovations in their products and the underlying structural variations. The present study fills this gap.

This paper aims to present an overview of permanent magnet linear flux-switching machines (PMLFSM), field excited LFSM and hybrid excited LFSM (HELFSM) topologies as presented in literature for transportation systems such as high-speed trains and maglev systems.

The structural designs of different configurations are thoroughly investigated, and their respective advantages and disadvantages are examined. Based on the geometry and excitation sources, a detailed survey is carried out. Specific design and space issues, such as solid and modular structures, structure strength, excitation sources placement, utilization of PM materials, and flux leakage are investigated.

PMLFSM provide higher power density and efficiency than induction and DC machines because of the superior excitation capability of PMs. The cost of rare-earth PMs has risen sharply in the past few decades because of their frequent use, so the manufacturing cost of PMLFSM is increasing. Owing to the influence of high-energy PMs and magnetic flux concentration, the efficiency and power density are higher in such machines. PM is the only excitation source in PMLFSM and has constant remanence, limiting its applications in a wide speed operation range. Therefore, the field winding is added in the PMLFSM to flexibly regulate the magnetic field, making it a hybrid excited one. The HELFSM possess better flux linkage, high thrust force density and better flux controlling ability, leading to a wide speed range. However, the HELFSM have problems with the crowded mover, as PM, field excited and armature excitation are housed on a short mover. So, for better performance, the area of each excitation component has to compete with each other.

Transportation of goods and people by vehicles is becoming increasingly prevalent. As railways play a significant role in the transportation system and are an integral part of intercity transportation. So, this paper presents an overview of various linear machines that are presented in literature for rail transit systems to promote sustainable urban planning practices.

The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.