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The purpose of this paper is to study the concept of purging and present a comparative study of the existing purging methodologies prevailing in the market with a view to evolving a more effective method of capturing the entire impure income to be purged.

To illustrate the present discussion, a case study of purging based on numerical examples has been included. The argument has also been supported with empirical data related to the universe of Sharīʿah-compliant stocks listed on Indian stock exchanges.

During the study, it was found that the existing purging methodologies of calculating impure income to be purged have conceptual and practical shortcomings.

The scope of the current research is limited to calculation of impure income which accrues on account of Sharīʿah non-compliant investments directly or indirectly. It does not try to quantify the benefit which may be imputed in the form of capital gains made in trading of the investee company shares due to higher market value of the shares as a result of the impure income earned by the investee company. The paper has focused on identifying and calculating the impure income on account of interest. Impure income earned from specific Sharīʿah non-compliant products or services has not been considered directly. The reason for this is that companies dealing in such products or services are generally excluded at the business screening stage itself. In the case of those companies which derive a relatively small proportion of their total income from such activities and pass the business screening stage, the quantum of the impure income is not generally reported separately in company accounts.

The result of adopting the proposed methodology will lead to complete purging of impure income (to the extent that is possible under present Company Law and stock exchange reporting regulations). Implementation of the proposed method requires a proper understanding of the working of listed companies and either a sound mathematical background or access to a software application to calculate the impure income to be purged.

The current paper is original and based on the authors’ personal understanding and experience of providing Sharīʿah consultancy services related to Sharīʿah-compliant investments.

The purpose of this paper is to understand interest-free microfinance practices in India, identify issues and recommend possible solutions.

To achieve the proposed objectives, Bait-un-Nasr (BuN) Urban Cooperative Credit Society, located in Mumbai, India, is considered for the case study. The study is based on both primary and secondary data. The primary data are collected through questionnaires and secondary data from various sources. Performance of the institution is assessed in terms of growth and sustainability indicators.

It is found that BuN has been successful in providing interest-free microfinance services in India. A few operational issues have been highlighted and possible solutions are recommended. Moreover, it is found that in comparison to the microfinance industry standards, the performance of BuN has been lower.

BuN is evaluated from only growth and sustainability aspects and not from the aspect of the socio-economic impacts of its services on the lives of customers.

This study would become a documented source of interest-free microfinance practices in India. Moreover, the recommendations provided, if implemented, would help BuN in further growth and development.

This study would help create awareness in the society about the practices of interest-free microfinance.

This paper highlights the interest-free microfinance practices in India that have not received the needed attention. The paper also attempts to identify key issues pertaining to interest-free microfinance with possible solutions.

The purpose of this study is to understand the operations of interest-free microfinance institutions, find the issues and recommend possible solutions in the Indian context.

This paper is based on the case study of Sanghamam Multistate Cooperative Credit Society. This research uses both primary and secondary data. The institution is assessed in terms of two major performance aspects, namely, outreach indicators and financial performance indicators. A brief comparative study of Sanghamam with the aggregate performance of the Indian microfinance industry has also been included.

It is found that Sanghamam has been successfully providing interest-free microfinance services in India. The performance of Sanghamam on selected industry benchmarks is in line with the performance of the Indian microfinance industry. However, a few issues such as potential liquidity risk, lower penetration in the poorer sections of the population, Shariah issues in the method of determination of service charges on demand loans and in the structure of group deposit scheme and profit-sharing business loans have been highlighted.

Sanghamam is evaluated from only outreach and financial performance aspects and not from the aspect of the impacts of its services.

This study would help in documenting the operations of Sanghamam. Moreover, the recommendations provided, if implemented, would help Sanghamam in further growth.

This study would help create awareness in the society about the practices of interest-free microfinance.

This paper highlights the interest-free microfinance practices in India that have not received the needed attention. The authors have discussed the key issues related to the interest free microfinance and recommended the possible solutions.

Reverse logistics (RL) has gained considerable attention in the literature. The first objective of this study is to develop a comprehensive performance measurement (PM) framework and scorecard for RL enterprise. The second objective is to integrate analytical hierarchy process (AHP) approach for RL PM.

The present work presents understanding RL performance and proposes a conceptual comprehensive reverse logistics PM framework and scorecard for managing RL enterprise. The framework developed in the paper is based on an extensive review of literature on RL, PM frameworks such as Balanced Scorecard and performance prism. It is further supported by AHP for calculation of overall comprehensive performance index (OCPI).

The scorecard consists of six performance perspectives, as well as key performance measures. The relevance of these perspectives, especially from the reverse logistics viewpoint, has been authenticated. With respect to each perspective, measures have been proposed that efficiently and effectively address the vital facets of an enterprise's business excellence. The paper further proposes a method to prioritize the different performance levels using AHP methodology. It also suggests an OCPI of the enterprise reflecting its relative position and benchmark in the industry sector.

This study provides a comprehensive PM system and scorecard for measuring and managing RL performance. The integrated AHP methodology developed provides useful guidance for practical managers in evaluation and measuring of RL in a complete and holistic way.

This paper proposes a comprehensive PM system and scorecard for RL. While suggesting scorecard, different performance measures have been assigned into six different perspectives. The OCPI has been calculated and prioritized performance measures are determined to focus on for continuous improvement.

The structural behavior of reinforced concrete (RC) beams made with waste foundry sand (WFS) was examined in this study by using investigational data. Five RC beams were tested in this present work, four beams with varying WFS content and one beam with natural aggregates. The factors considered for studying the flexural performance of RC beams were WFS content (10%, 20%, 30% and 40%), 15% Ground Granulated Blast Furnace Slag (GGBS) is used as supplementary cementitious (SCM) content for all beams and tension reinforcement ratio (0.95%). The crack pattern of the RC beams with WFS (RCB1, RCB2, RCB3 and RCB4) was similar to that of referral beam–RCB0. The RC beams made with WFS (RCB1, RCB2, RCB3 and RCB4) show lesser number of cracks than referral beam–RCB0. It is observed that RCB1 beam shows higher ultimate moment carrying capacity than other RC beams. A detailed assessment of the investigational results and calculations based on IS: 456-2000 code for flexural strength exhibited that the present provisions conservatively predicts the flexural strength and crack width of RC beams with WFS and 15% GGBS. It is suggested that 10% WFS can be used to make RC beam.

In this present work, four RC beams made WFS and one RC beam made with natural aggregates. 15% GGBS is used as SCM for all RC beams. After casting of RC beams, the specimens were cured with wetted gunny bags for 28 days. After curing, RC beams like RCB0, RCB1, RCB2, RCB3 and RCB4 were tested under a four-point loading simply supported condition. An assessment of investigational results and calculations as per IS: 456-2000 code provisions has been made for flexural strength and crack width of RC beams with WFS and 15% GGBS. The crack pattern is also studied.

From this experimental results, it is found that 10% WFS can be used for making RC beam. The RCB1 with 10% WFS shows better flexural performance than other RC beams. RC beams made with WFS show lesser number of cracks than referral beam–RCB0. IS: 456-2000 code provisions can be safely used to predict the moment capacity and crack width of RC beams with WFS and 15% GGBS.

By utilization of WFS, the dumping of waste and environmental pollution can be reduced. By experimental investigation, it is suggested that 10% WFS can be used to make RC structural members for low cost housing projects.

Today, engineers are faced with engaging the construction option that not only provides the best cost advantage, but also considers environmental sensitivities to create the most sustainable solution. The purpose of this paper is to identify a methodology to determine the pollutant emissions from utility construction methods.

A survey of the literature was conducted to determine the need and developments in the area of emissions from construction industry. With the use of approved methodologies, an application program that is simple and user friendly was designed to estimate emissions from utility construction projects.

The results of the research shows that the emissions can be calculated from standard equations using details available at any project site. With minimum effort, construction industry personnel can use available historical project data to determine and quantify emissions from their construction activities.

The research examines the major air pollutants from equipment/trucks burning diesel fuel. The impact of existing climatic conditions, weather and maintenance of machineries is not considered in the emission calculations.

Estimation of emissions during the design phase of a project will help regulators and decision makers choose a construction methodology that not only incorporates time, cost, and social benefits, but also environmental benefits.

Utilization of the tool created by this research should make contractors conscious towards the impact of their activities on their environment by showing them a methodology for estimating such emissions. The research shows the path to promulgate their methodologies in a world that is going “Green”.

The study aims to develop an integrated model for three-dimensional (3D) printing adoption in the Gulf Cooperation Council (GCC) context to form a baseline for more theoretical and empirical debate from emerging markets.

A qualitative approach with a convenience sample is adopted since there is no formal body that has accurate data about the number of companies, governmental bodies, nongovernmental organizations, universities, labs, etc. that already have adopted 3D printing.

The results indicate that the technological usefulness of 3D printing and its ease-of-use factor were found to be lacking among community members and governmental officials. Yet, these factors were the most influential factor affecting the spread of 3D printing technology adoption in the GCC countries. Nevertheless, the adaptation of 3D printing is not yet at the level of its global markets, nor is it used within leading companies’ assembly lines. In addition, the 3D printing awareness and use increased during the COVID-19 pandemic. Yet, the adaptation rate is still below expectations due to several challenges that face the growth of the 3D printing market in the GCC countries. The most vital challenge facing 3D printing growth is manifested in governmental policies and regulations.

Companies’ managers can benefit from the current study results by focusing on the factors that facilitate 3D adoption and avoiding bottle-neck factors that hinder the speed of the 3D adoption. 3D providers can also benefit by understanding the factors that affect 3D adoption and designing their machine and marketing strategy in a way that helps the intended companies to easily adopt 3D printing.

To the best of the authors’ knowledge, this is the first study that explored 3D printing adoption on the GCC countries’ level. It also adds a new flavor to the literature by exploring 3D adoption during the COVID-19 crisis.

This paper attempts to investigate the impact of the Russia–Ukraine war on the returns and volatility of the United States (US) natural gas futures market.

The study uses secondary data of 996 trading day provided by the US Department of Energy and investing.com websites and applies the event study methodology in addition to the generalized autoregressive conditional heteroscedastic (GARCH) family models.

The findings from the exponential EGARCH (1,1) estimate are the best indication of a significant positive effects of the Ukraine–Russia war on the returns and volatility of the US natural gas futures prices. The cumulative abnormal returns (CARs) of the event study show that the natural gas futures prices reacted negatively but not significantly to the Russian–Ukraine war at the event date window [−1,1] and the [−15, −4] event window. CARs for the longer pre and post-event window display significant positive values and coincides with the standard finance theory for the case of the US natural gas futures over the Russia–Ukraine conflict.

This is the first study to examine the impact of the Russia–Ukraine war on natural gas futures prices in the United States. Thus, it provides indications on the behavior of investors in this market and proposes new empirical evidence that help in investment analyses and decisions.

The purpose of this paper is to identify the factors that determine demand for crop insurance in Poland.

To examine the determinants of decisions regarding crop insurance, the authors used logistic regression. The base source of data for the analysis was the 2013 FADN sample. The scale of yield losses, the indemnities received and the Arrow-Pratt risk aversion coefficient were examined in a representative sample of farms in consecutive years in the period 2004-2013.

Losses are the major determinants of crop insurance uptake. Additionally, it was observed that the economic determinants are in line with the expected utility theory, while contrary to expectations, farmer’s characteristics such as education level, age or even risk aversion did not prove to have any influence on crop insurance uptake.

The FADN sample is representative as regards the type of farming, economic size of farm and location of the farm. Every farm in the sample represents a specific number of similar farms in the population. However, it must be emphasised that the representativeness of the sample with respect to other determinants, e.g., yield losses in previous years, using crop insurance or the farmers’ age and education has not been verified due to lack of data characterizing the general population with regard to these factors.

It could be argued that the system of crop insurance subsidies should be targeted to encourage the farmers who previously had not used insurance to join the system.

The paper presents the analysis of crop insurance uptake in a country with a strongly polarised agriculture. The Polish farm sector consists of 1.4 million farms with sizes ranging from 1 ha to over a few thousands hectares. The research is based on a data set of 5,202 farms which contains data from ten years (2004-2013). The novelty of the methodological approach is that it includes information on the number of farms represented by every farm in the FADN sample in the Horvitz-Thompson estimator in order to achieve results which are valid for the general population of Polish farms.