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The purpose of this paper is to investigate the impact of Islamic Shariah compliance on customer satisfaction through the mediating effect of service quality in Islamic banking services.

A total of 334 completed and usable questionnaires were collected from customers of Islamic banks in Bangladesh to test the hypotheses. The data were analyzed using SmartPLS 3.

The findings of this study indicate that Islamic Shariah compliance has a positive and significant influence on service quality and customer satisfaction of Islamic banking services. The research findings also indicate that service quality partially mediate the relationship between Islamic Shariah compliance and customer satisfaction of Islamic banking services.

This study only emphasized on the Islamic banking services of Bangladesh and thus findings of the present study may not be applicable to other service areas.

The implications of the research are twofold. First, a strong standardized effect of Islamic Shariah compliance on service quality implies that customers are very sensitive to Shariah compliance related to Islamic banking services. Next, maintaining service quality is another crucial aspect to satisfy customers of Islamic banks. Quality of services will only be materialized when all the promises made by the bank function accordingly. Therefore, strategy makers of Islamic banks should assess the customer service quality and satisfaction regularly to improve the overall service experience of customers.

Limited studies have been conducted to investigate the mediating effect of service quality on the relationship between Shariah compliance and customer satisfaction in Islamic banking services. This study provides valuable insights to Islamic bank to integrate the service quality along with Shariah compliance to enhance customer satisfaction.

The primary objective of the paper is to examine the asymmetric Cointegration and asymmetric causality between financial development and poverty alleviation on annual data in Indian context over the period from 1980 to 2019.

First nonlinearity test by Brooks et al. (1999) is applied to ascertain the nonlinear behavior of the variables used. Once the nonlinear behavior of variables is confirmed, asymmetric and nonlinear unit root tests by Kapetanios and Shin (2008) are applied to check for the order of integration of selected variables. Next, nonlinear autoregressive distributed lag model (NARDL) is employed to analyze the asymmetric Cointegration. Finally, Hatemi-j- asymmetric causality tests is applied to work out the direction of asymmetric causality.

The empirical findings document the existence of asymmetries in the short-run as well as long-run between poverty and financial development. The asymmetry reveals that negative financial development shocks leave a more profound impact on poverty alleviation than their positive equivalents. The findings of Wald's test also confirm the presence of asymmetric Cointegration. The asymmetric cumulative dynamic multipliers used to examine the behavior of asymmetries and adjustments with respect to time lend credence to the results calculated using NARDL estimator. This result exhibits the robustness of the model. Furthermore, the result emanating from recently introduced asymmetric causality test reveals a unidirectional asymmetric causality between negative shocks in financial development and poverty. The findings of the present study necessitate the need for investigating asymmetric and nonlinear effects in finance–poverty nexus, which existent literature has completely neglected, in order to have relevant policy conclusions.

The study used “Per capita consumption expenditure” as a measure for poverty due to lack of continuous time series data on headcount ratio. In future, researchers can extend this study by incorporating headcount ratio as a measure of poverty in their respective works. There is further scope of research on this issue by finding out the impact of formal and informal sources of credit on poverty separately. A panel data study for developing countries over a period of time could further confirm/negate the findings of the present study.

To the best of the authors’ knowledge none of the studies in Indian context has scrutinized asymmetric and nonlinear impact of financial development on poverty. To dredge up asymmetric structures at work, the authors have used the highly celebrated NARDL estimator. To enrich the existent body of knowledge along the lines of asymmetric (nonlinear) linkages, the authors have also used recently introduced asymmetric causality test by Hatemi-j-(2012) to find out the direction asymmetric causality.

The purpose of this study is to document and analyze the success story of YouTube as a social network site in a competitive market, offering important academic and managerial implications.

Historical methods were used for investigation. This study applies the Resource-Advantage theory to identify key events in the history of YouTube from archival documents and evaluates and synthesizes the evidence to recount the channel’s evolution.

YouTube faced challenges from competitors across various industries since its launch. It has used its global user base and technological skills to develop innovative market offerings for users, contributors and marketers. YouTube built long-term relationships with stakeholders, continuously adapted to external changes and initiated internal alignments to compete in multiple industries. Over time, despite several changes in the competitive landscape, YouTube has grown into a successful media firm, competing across traditional broadcasting, gaming, live TV streaming and SNS industries. It is an exciting tale in the history of social networking.

This study significantly contributes to the marketing history of social network sites and platform-specific scholarship by applying the Resource-Advantage theory to document the evolution of YouTube.

The primary objective of the present study is to figure out the relative effectiveness of alternate public expenditure with regard to agricultural development particularly in the context of input subsidies vis-a-vis investment. Besides, the authors also endeavour to test the applicability of crowding-out hypothesis in the present context.

Initially, unit root tests are applied for checking stationarity of the underlying data using Augmented Dickey-Fuller (ADF) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests. Further, the highly celebrated autoregressive distributive lag (ARDL) model is applied on annual time series data for the period 1991–2020 to investigate the long-run and short-run impact of the said relationship.

The authors observe that public investment is more productive than input subsidies for overall agricultural development. Besides, the findings document the existence of crowding-in hypothesis, i.e. complementarity between public investment and private investment in case of the agricultural sector in India.

The outcome of the research recommends to reprioritize state expenditure and reformulate agricultural policy regarding the public financing of agriculture. More to invest and less to subsidize seems a better policy intervention to achieve desirable outcomes from the Indian agriculture in the long run.

This study is novel in the sense that the subsidies vs investment debate is revisited in the current scenario of agricultural development so that resource allocation be optimized. To ensure robustness of the study, the authors specifically took four proxies of agricultural development, namely, productivity growth, private investment, food security and farmers’ income.

The main objective of the present study is to figure out the effect of agricultural development on environmental pollution in the Indian context over the period 1970 to 2018. The study also tests the applicability of pollution haven hypothesis.

To begin with, the authors test the stationarity of the variables by using the DF-GLS and KPSS tests. To examine the relationship between agricultural development and carbon emissions, the study applies nonlinear autoregressive distributed lag cointegration test developed by Shin et al. (2014). The study also applies Wald test to test the asymmetry between agriculture and environmental pollution.

The findings of this study indicate that agricultural development in India is good for carbon mitigation in the long run whereas energy consumption degrades the environment. The findings document the existence of an asymmetric association between agricultural development and environmental pollution. Furthermore, the results did not find any presence of pollution haven hypothesis for India.

This is the only empirical work that assesses the contribution of agricultural sector to carbon mitigation in the Indian context. The novelty of the study is further ensured by the very nature that it is the first study that examines the effect of agricultural sector on environment in an asymmetric configuration.

The genesis of Environmental Kuznets curve (EKC) of “grow now clean later” has led to a substantial deterioration of local as well as the global environment. India has not been spared of this malaise and accounts for the third-largest carbon dioxide emitter in the world. Thus, the present study revisits the curvilinear relationship between economic growth and environmental pollution in case of India over the period of 1971-2014.

Dickey–Fuller generalised least square (DF-GLS) test developed by Elliott et al. is used to ensure that none of the variables is I(2). The study applies the autoregressive distributed lag (ARDL) bounds estimation technique to test for the existence of cointegration among variables and estimate long-run and short-run parameters. The study also applies the Bai–Perron structural break test with unknown break date to determine the threshold point. The study further uses the vector error correction model (VECM) Granger causality test to check the direction of causality between variables.

The ARDL bounds estimation technique confirms the cointegration among variables. The long-run coefficients of energy consumption, economic growth and financial development are found to have an adverse impact on environmental quality. The results also validate the existence of conventional EKC hypothesis. Bai–Perron structural break test, along with t-test and scatter graph, shows that inverted U-shaped relationship between environmental pollution and economic growth holds true. The VECM-based causality results support “growth hypothesis” both in the long run and short run.

This study refrained from considering a variety of variables, as the main intention of the study is to investigate whether any threshold or turnaround point exists for India. The future studies should consider a new set of variables (e.g. population, corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, public investment towards alternate energy exploration, etc.) in the estimation of EKC hypothesis.

The results validate the existence of conventional EKC hypothesis. Thereby the study argues that instead of being a threat to environmental quality, economic growth is observed to generate a sustainable environment to live in. Further, bi-directional causality is found between carbon emissions and economic growth. Thus, any effort to mitigate CO₂ or environment conservation policy will impede economic growth. Consequently, controlling primary energy consumption and supply and replacing it with renewable and clean energy could be desirable for climate change mitigation.

The data set has been refined so that the EKC estimation issues raised by Stern (2004) are addressed. In particular, statistical properties of the data set such as serial correlation, presence of a stochastic or deterministic trend, has been adequately taken care of to remove any spurious correlation. Finally, various control variables have been included to provide consideration to issues of model adequacy, such as the possibility of omitted variables bias. To the authors’ best knowledge, there is no India-specific study which has taken care of data-related issues, as suggested by Stern, in the estimation of a curvilinear relationship between environmental degradation and economic growth in India. Further, this is the first study which has used Bai–Perron structural break test with unknown break date to identify the threshold point while estimating EKC in India.

The purpose of this paper is to investigate service quality, patient satisfaction and loyalty in Bangladesh’s healthcare sector. It identifies healthcare quality conformance, patient satisfaction and loyalty based on demographics such as gender, age and marital status. It examines the differences between public and private healthcare sectors regarding service quality, patient satisfaction and loyalty.

The authors distributed 450 self-administered questionnaires to hospital patients resulting in 204 useful responses (45.3 per cent response rate). Data were analysed based on reliability analysis, exploratory factor analysis, independent samples t-tests, ANOVA and discriminant analysis using SPSS version 23.

Findings indicate that single patients perceive tangibles, reliability, empathy and loyalty higher compared to married patients. Young patients (⩽20 years) have a higher tangibles, empathy and loyalty scores compared to other age groups. The authors observed that private hospital patients perceive healthcare service quality performance higher compared to patients in public hospitals.

The authors focussed solely on the Bangladesh health sector, so the results might not be applicable to other countries.

The findings provide guidelines for enhancing service quality, patient satisfaction and loyalty in the Bangladesh healthcare sector and other countries.

The purpose of this paper is to develop and subsequently validate a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.

Initially, a comprehensive review of the existing and relevant literature is carried out and a prototype evaluation model has been developed. This has been augmented and refined through in-depth interviews of Shari’ah scholars and banking experts. Afterwards, the modified model has been validated by taking inputs from academics and Islamic banking practitioners through a focus group discussion.

The major outcome of the present work is a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks. At the inception of the work, the Maqasid frameworks of Imam al-Ghazali and Abu Zahrah were combined. The combined model incorporates various dimensions, elements and the corresponding measures of three components, namely, justice, education and maslahah.

Not being able to test the model statistically or empirically can be considered as a limitation.

The comprehensive theoretical framework of the developed model addresses all aspects of human well-being. Thus, if implemented the model will ensure welfare for all the stakeholders. It will also encourage the regulators to introduce new reporting standards which will be more reflective of Maqasid al-Shari’ah.

Fulfilling Maqasid will create a positive brand image for Islamic banks, which will attract more customers both Muslims and non-Muslims. Thus, this will create a wider scope for earning more revenues.

There has been concern that Islamic banks are converging towards conventional banking systems and the same performance measure instrument is being used to evaluate the performance of both Islamic and conventional banks. The present work has developed a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.

The Takāful (Islamic insurance) industry operates on the principles of Maqāṣid al-Sharī’ah, and of late, the industry has witnessed significant market growth. The purpose of this study is to develop a performance measurement model based on Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms.

A mixed-method research approach was adopted to conduct the present study. Priorities were assigned to various dimensions of the Maqāṣid model using analytic hierarchy process and by taking inputs from 18 Takāful experts. On the contrary, six experts were involved in identifying the elements and measures for the operationalization of the Maqāṣid dimensions.

Maṣlaḥa (0.359) was found to possess the highest priority, followed by Justice (0.345) and Educating Individuals (0.295). Furthermore, under Necessity, protection of religion (0.398) and protection of life (0.388) are assigned almost similar priorities. These two are followed by the protection of progeny (0.107), protection of wealth (0.058) and protection of intellect (0.047). The final outcome of this study is a hierarchical model for the evaluation of performance of Takāful firms.

The application of the performance evaluation model will provide information to the management of Takāful firms on where they stand in terms of fulfilling Maqāṣid al-Sharī’ah principles. If any firms are found to have a deficiency in a certain part of Maqāṣid components, then proper and adequate measures can be taken to ameliorate the situation.

It is necessary to have a performance evaluation model based upon Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms as these firms operate on the principles of Maqāṣid al-Sharī’ah. Because there does not exist any such model, this study fills up this gap. Details of the measures that can be used to evaluate the performance of Takāful firms are also provided.

One of the biggest challenges in markets where products have ambiguous values (like fine art, specialty coffee, and wine) is to determine the structure of the market. As products in these markets are unique and values are private, it is difficult to determine its market structure using traditional methods. In this chapter, we present a method to determine the market structure of ambiguously valued products using bidding data from auctions. We create a sociomatrix of artists based on bidders revealed bidding preferences and uncover the market structure with artists as the unit of analysis. We demonstrate our approach using bidding data from an online auction of Modern Indian Art. This approach resulted in the extraction of a two-dimensional art market structure with color and price being the two dimensions. This chapter concludes with a discussion on the implications and limitations of our approach, and directions for future research.