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The purpose of the study is to examine the obstacle in doing business and determinants of credit adoption by the textile enterprises in India.

The study is based on World Bank’s Enterprises Survey, there are 571 enterprises involved in textile business. The enterprises survey has response on wide range of business obstacles which are categorized under three broad categories, namely, access to resource, business regulations and market externalities. Chi-square test and analysis of variance (ANOVA) have been used to examine the significant difference among firm’s profile and perceived business obstacles across the firm size. Furthermore, binary logistic regression model has been applied to explore the determinants of credit adoption by textile enterprises.

A statistically significant difference has been found in size of firms and legal status nature of establishment, gender of top manager, main product market and credit adoption from financial institutions. Majority of small- and medium-sized enterprises (SMEs) are sole proprietorship firm while large enterprises are limited partnership firms. Similarly, large enterprises have relatively more female as a top manager and international market for their product. ANOVA reveals equal degree of obstacles in doing textile business across the firm size. The logistic regression coefficient and marginal effects reveal that firm size, main market,gender of owner, number of establishment in the firms positive and significantly affects the credit adoption by 3 textile enterprises.

The study has some policy implications for various stakeholders such as textile business managers and promoters, government, investors and bankers for entrepreneurship development in textile sector. The study suggests that the government should incentivize small- and medium-sized businesses to increase their exports. The results show that despite government efforts to finance SMEs, fewer SMEs are receiving both short- and long-term credit. To help SMEs in the textile industry overcome financial difficulties and expand their main product market to both domestic and international levels, a soft loan should be provided based on the characteristics of textile enterprises.

The present study suggests the evidence-based understanding of textile business environment. The value and uniqueness of this study is to explore an ease of business textile sector using comprehensive enterprises survey data of World Bank.

The purpose of this paper is to assess the satisfaction of teenagers who are suffering from or are exposed to social damages of children and young adults’ publications in Iran.

A descriptive surveys approach with practical purposes is applied here. The tools used in this study include two researcher-made questionnaires. Two sets of participants constitute the statistical populations: 120 and 50 teenagers who were affected by or are at the risk of social damages. Data collection from the first set was through census, while the same from the second set is through the disproportionate stratified random sampling method. Another statistical population is the group of premier children publishers during 2006-2016.

The teenagers’ satisfaction mainly is involved with: perceived quality, expectations and perceived value. “Music” and “Recreational and performing arts”, internet-based resources, “Electronic materials” and “Real stories” are ranked as having the highest mean value in information needs, formats and literacy genre among teenagers, respectively. The findings here indicate that the teenagers participated are satisfied with children publications to a great extent.

This is the first research which used the CSI Model for assessing the satisfaction of teenagers at risk and vulnerable to social damages.

The purpose of this paper is to analyze the macroeconomic determinants of life insurance demand in India. The recent decline in life insurance activity calls for a study on the factors influencing life insurance demand in India.

This study employs econometric techniques like augmented Dickey-Fuller test, Johansen cointegration test, vector error correction models and the Granger causality test to estimate the macroeconomic predictors of life insurance demand in India, during the period 1980-1981 to 2013-2014.

Financial sector development and inflation positively influence life insurance demand in India. The real rate of interest and income are negatively related to life insurance consumption. The study finds an insignificant relation between the level of social security expenditure and life insurance buying. Financial sector development is found to Granger-cause life insurance demand.

Product-wise analysis of life insurance demand is not attempted due to lack of unit-level data. The impact of regulatory changes on life insurance demand in India is not attempted.

Intervention by the policy makers is required to arrest the decline of life insurance activity in India. Efforts are required to widen the financial sector of the Indian economy to accelerate the growth of life insurance activity.

The paper introduces a new measure of life insurance demand, the total regular new business premium, in the estimation of life insurance demand determination.

Depression is one of the most overlooked psychiatric disorders among middle-aged and elderly men. Saffron (Crocus sativus L.) stigmas are a favorite and common spice that is used as an antidepressant, an anti-inflammatory and a sexual stimulant. This systematic review aimed to provide a comprehensive survey of the effects of saffron on depression in middle-aged and elderly men.

The authors searched Web of Science, PubMed, ProQuest, Cochrane, Science Direct, Scopus and Google Scholar databases to gather any relevant studies published from 1980 to September 2022. This review included studies that examined the relationship between depression and testosterone concentration (four studies) or saffron’s effects on testosterone and depression (six studies).

Observational research showed an association between testosterone and depression in middle-aged and elderly men. Furthermore, animal studies have found that saffron increased testosterone levels and decreased depression in males. There is evidence that testosterone may contribute to the mood. Besides its antioxidant and anti-inflammatory properties, this study proposed scientific mechanisms that saffron may also play a protective role against depression through its influence on testosterone, in middle-aged and elderly men. The general use of saffron at high doses or for prolonged periods may cause side effects; therefore, it is important to consult a health-care professional before the recommended dosage and duration of saffron supplementation, especially if a person has any underlying health conditions or is taking medications.

This study provides researchers with an additional perspective for conducting clinical trials on the use of saffron to enhance the mood of elderly men with testosterone deficiency.

Increasing scarcity of natural resources and the adverse effects of unsustainable practices call for more and more efficient management strategies in the energy industry. The quality of the coke plays a significant role in the quality and durability of the output steel which is produced using the energy from the coal. This paper aims to investigate the dynamic coal blending problem under overall cost and coke quality constraints in the steel industry within a periodic cycle of operations.

Considering the variability of the natural properties over a periodic cycle, this study proposes a multi-period mixed-integer non-linear programming formulation to optimize the total blending costs while taking various coke quality constraints into account. Besides, this study applies factorial design to investigate about the significant effect of coal proportions as well as improvement into the overall cost of blending.

In this case study, utilizing real data from a coal blending facility in India, through a factorial design, the authors obtain optimal desirable levels of coal proportions and their criticality levels towards the total cost of blending (TCB) or objective function. This analysis reflects the role of the coke quality constraints in the objective function value while characterizing the price of sustainability for the case study among other critical insights.

Objective function (or TCB) includes basic coal cost, movement cost and environmental costs during the coal and coke processing at a coke-oven and blast furnace of steel industry. The price of sustainability provides managerial insights on that sacrifices the industry has to make in order to become more “sustainable”.

This paper aims to examine the factors associated with a household business entrepreneur’s decisions to formalise the firm at a multidimensions level.

The data set is a panel of 2,336 SMEs and household businesses from Vietnamese SME surveys during the 2005–2015 period.

This study elucidates how firm-level resources, entrepreneur characteristics and costs of doing business influence an entrepreneur’s decision to enter, the speed and the degree of formality.

This study provides insight into the origins of an entrepreneur’s decisions to the multidimensions of business formality through the lenses of the resource-based view, entrepreneurship and institution theories.

From a synthesis of empirical findings and literature, the aim of this paper is to present a conceptual framework for managing retail reverse logistics operations. The framework is designed to assist both practitioners and academics in better understanding the key management aspects involved. The paper also identifies some future research directions that are derived from this conceptual framework.

The study was exploratory and motivated by a grounded theory approach aimed at providing a conceptual framework for managing retail reverse logistics.

Retail reverse logistics operations are multi‐faceted and need to be managed as an integrated supply chain activity. Three overarching management dimensions are proposed; operational performance, organisational integration and management reporting and control.

This is an inductive piece of research and it is important to recognise that only analytical generalisation is claimed rather than any statistical generalisation. Also, the study was undertaken in the context of the UK retail sector and therefore further comparative work could be undertaken in different international contexts.

The adoption of the framework will have impact on practitioners by assisting them in reducing the volumes of products being returned, lower their reverse logistics operational costs and increase their product asset recovery values.

Although there is a growing body of literature relating to retail reverse logistics it is fragmented by multiple perspectives. There is little in terms of frameworks that embody the management aspects involved. Having reviewed the literature the authors' empirical results show that, in some areas, practice leads theory and therefore the findings will add to academic discourse.

Although manufacturers have traditionally viewed reverse supply chain (RSC) activities as a costly nuisance, more recent research has found that the RSC can contribute to the firm’s financial performance. The purpose of this paper is to identify how the RSC can contribute to the firm’s financial performance and examine the exogenous contingency factors decisive for the contribution’s size. Because the exogenous factors are outside the control of the firm’s operations and supply chain management, the factors influence the RSC’s financial contribution irrespective of managerial policies and design decisions.

The paper applies a systematic literature review using the sequence of planning the review, searching and screening literature, extracting information from the selected literature, and synthesizing and analyzing findings. In total, 112 papers were included.

The study has identified 15 distinct opportunities for RSC-contribution to the firm’s financial performance. The study has identified 56 contingency factors. These are related to market segmentation, customer behavior, product design, and the firm’s distributor network. The study includes an interrelationship network between factors and the RSC’s contribution.

For managers, the paper shows how the RSC can increase the firm’s financial performance and which contingency factors determine whether operating a RSC will be financially viable if implemented.

While extant literature includes several reviews about RSC-related managerial policies and design decisions, this paper contains the very first collection of RSC-contribution opportunities available to manufacturers as well as the first review of exogenous contingency factors.

In today′s competitive global economy, every business can benefit from managing its operations in a cost‐efficient manner. Managing materials should be no exception and the effect of inflation on ordering policies for purchased materials and supplies should be carefully analysed. It is very likely that a business can place itself in an advantageous position by changing its ordering policies in response to unfavourable economic conditions in its future operating environment. Presents a total cost model and, through simulation analysis, shows that inflationary conditions do affect lot sizes. Also shows that there are instances where lot sizes stay stable before changing again in response to increase in inflationary rates.

Pier scour is one of the main causes of damage to the columns of the river bridges. It is essential to select the best method among various repair methods based on different evaluation indices. However, there is no procedure for ranking these repair methods based on their attributes. The present study seeks to set an approach for this ranking.

In this paper, a multi-attribute decision-making (MADM) model is presented for ranking the repair techniques, in which alternatives are examined using the most important evaluation criteria. In addition, a combination of entropy and eigenvector methods has been proposed for weighting these attributes. A case study is then used to demonstrate the applicability and the validity of the method.

The execution of the model using two multi-criteria methods yielded similar results, which confirms its accuracy and precision. Moreover, the research findings showed the consistency of the objective and subjective weighting methods and the conformity of the weights obtained for the attributes from the combination of these methods to the nature of the problem.

The selection of the proper method for repairing the bridge columns plays an essential role in success of the bridge restoration. The proposed model introduces an approach for ranking repair methods and selecting the best one that has not been presented so far. Also, the weighing method for attributes is an innovative method for ranking restoration methods that has been proven in a case study.