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This study aims to examine the impact of oil consumption on carbon dioxide (CO₂) emissions and total factor productivity (TFP) in highly oil-consuming countries of the world from 1995 to 2019.

For this purpose, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied.

FMOLS and DOLS models reveal that oil consumption, human capital, population, trade openness and nonrenewable energy have a significant positive effect on CO₂ emissions. While information and communication technology (ICT), as proxied by mobile and natural resources, has a significant negative effect on CO₂ emissions. In the case of TFP, oil consumption, ICT and natural resources have a significant positive effect on the TFP. On the other hand, trade openness, population, human capital and nonrenewable energy have a significant negative effect on TFP. The results of this study can help to provide policy recommendations to reduce CO₂ emissions in studied highly oil-consuming countries of the world.

Due to the threat to sustainable development, climate change has become a major topic for debate around the world. The influence of oil consumption on CO₂ emission and TFP is less known in the available literature. Another significance of this study is that many researchers considered aggregate energy consumption to study this relationship, but the authors have studied the effect of energy consumption, particularly from oil in the top oil-consuming countries, which is a significant shortcoming of the present research.

Taurine (2-aminoethane sulfonic acid; C2H7NO3S) is a nonprotein sulfur-containing β-amino acid present in nearly all mammalian tissues and the most ubiquitous free endogenous biomolecule in human cells. Taurine is commonly known as a conditionally essential amino acid because taurine is one of the few amino acids that are not incorporated in protein synthesis. The purpose of this study is to review the existing articles related to taurine and to give an account how useful is taurine to the different body systems. In this thorough overview, taurine is covered in terms of its essentiality, sources, advantages for neonates and the elderly, the effects of taurine deficiency, and the safety and toxicity of taurine supplements.

This is a narrative review into the subject matter. Published articles were searched on different portals like PubMed, EMBASE, Scopus, Google Scholar, PubChem etc. The authors also evaluated the availability of taurine in commercially available energy drinks.

This comprehensive review, presents the potential clinical benefits and functional properties of taurine as a conditionally essential amino acid. Energy drinks containing taurine (and their concentration) are also reported in this review.

This is the first data that the authors are aware of that shows taurine content in a variety of energy drinks on the market.

This study aims to unveil the determinants of employer branding (EB) that attracts and retains the employees working in the Indian higher education sector using the factor-analytic approach.

The study is cross-sectional, and the data were collected from 141 employees working in the higher education sector. Exploratory factor analysis and independent t-test were deployed to analyze the data.

The results of independent samples t-test explicate that perception of male and female university employees pertaining to EB factors of employee attraction (EA) and employee retention (ER) is congruent. Further, the perception of employees in public and private universities on EB factor is similar for ER and non-similar for EA.

The present research is an effort to unveil the employee attraction and retention factors that play a vital role in showcasing an employer as a great place to work in the Indian higher education sector.

The adverse interactions between disruptions can increase the supply chain's vulnerability. Accordingly, establishing supply chain resilience to deal with disruptions and employing business continuity planning to preserve risk management achievements is of considerable importance. The aforementioned idea is discussed in this study.

This study proposes a multi-objective optimization model for employing business continuity management and organizational resilience in a supply chain for responding to multiple interrelated disruptions. The improved augmented e-constraint and the scenario-based robust optimization methods are adopted for multi-objective programming and dealing with uncertainty, respectively. A case study of the automotive battery manufacturing industry is also considered to ensure real-world conformity of the model.

The results indicate that interactions between disruptions remarkably increase the supply chain's vulnerability. Choosing a higher fortification level for the supply chain and foreign suppliers reduces disruption impacts on resources and improves the supply chain's resilience and business continuity. Facilities dispersion, fortification of facilities, lateral transshipment, order deferral policy, dynamic capacity planning and direct transportation of products to markets are the most efficient resilience strategies in the under-study industry.

Applying resource allocation planning and portfolio selection to adopt preventive and reactive resilience strategies simultaneously to manage multiple interrelated disruptions in a real-world automotive battery manufacturing industry, maintaining the long-term achievements of supply chain resilience using business continuity management and dynamic capacity planning are the main contributions of the presented paper.

It is difficult for anyone to implement all the lean tools simultaneously. One of the core issues is identifying critical criteria for the successful implementation of lean manufacturing (LM) and evaluating them. The purpose of this paper is to analyze the causal relationships of LM criteria in a machine tool manufacturing firm located in national capital region of India using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The research paper presents a blend of theoretical framework and practical applications. Based on literature review, 17 LM criteria were extracted that were validated by experts. A questionnaire was developed that was answered by experts serving in the XYZ machine tool manufacturing firm. Then, the DEMATEL method was applied to analyze the importance of criteria and the casual relations among the criteria were developed.

Using DEMATEL, the lean criteria were divided into cause group and effect group. In this study, information technology, computer-integrated manufacturing, enterprise resource planning, training, fixed position layout, smart processes and automation and concurrent engineering were classified in the cause group. Just in time, value stream mapping, 5-S, single minute exchange of die, visual control, job scheduling, standardized work, cellular manufacturing, poka-yoke, and total quality management were categorized in the effect group. The DEMATEL framework indicates that “training” is the most influencing factor for the lean implementation process in machine tool sector.

To know the key lean criteria and relationship among them can help many organizations to develop lean competencies. If the authors want to obtain high performance in terms of the effect group factors, it would be necessary to control and pay a great deal of attention to the cause group factors beforehand. This study is perhaps among the first few with focus on segmenting the set of lean criteria into some meaningful portions in order to effectively facilitate its implementation. The paper provides useful insights to the lean production implementers, consultants, and researchers.

This paper aims to extend employer branding research by investigating the role of job satisfaction and organizational identification as predictors of employee retention, and their mediating role between employer branding and employee retention.

A cross-sectional survey is utilized to gather data from 352 employees working in top Indian IT organizations. Hypotheses were tested and analyzed utilizing SPSS PROCESS Macro.

The results reveal that employer branding is positively related to job satisfaction, organizational identification and employee retention. The analysis provides support for the mediating effects on employee retention of employer branding through job satisfaction and organizational identification. In addition, results also provide support for the serial mediation model, where employer branding was found to influence employee retention via job satisfaction and organizational identification in a sequential manner. The findings connote that the enhanced positive identity of satisfied employees suppresses the intention to leave among IT professionals.

The findings suggest that an employer branding strategy with a unique set of attributes can provide a competitive advantage to employers in terms of high retention levels. The findings also highlight the fact that the importance of employer branding strategy should not be merely confined to the issue of retention as it can also play a vital role in enhancing job satisfaction and employees' identification level. Hence, managers are required to devise an employer branding strategy with a long-term intent that focuses on gaining a competitive advantage and aiming to improve relationships with employees.

The researchers have enriched social identity and social exchange theory as a theoretical paradigm, examining antecedents of employee retention. The study has extended the foregoing direct or simple mediation models by integrating social identity theory and job satisfaction in a sequential mediation model.

This study aims to examine the effect of entrepreneurial orientation (EO) on the export performance of apparel small- and medium-sized enterprises (SMEs) and the role of multiple differentiation strategy as a mediation effect between their relationships. It has also investigated the moderation impact of export market category between EO and performance relationship. The multiple differentiation strategy comprises the product (PDD), customer (CTD), service (SVD) and brand (BDD) differentiations.

A cross-sectional survey was carried out by providing a questionnaire to senior managers and owners of the apparel SMEs from the developed and developing markets exporters. The primary data of 550 was treated by the partial least squares-structural equation modelling) technique for final analysis.

The study revealed EO’s positive and significant effect on SMEs’ export performance. The study has found the mediation effect of product, customer and brand differentiation strategies between EO and export performance relationships from the mediation analysis. In contrast, service differentiation has found no mediation effect. However, the moderation effect (export market category) has revealed an insignificant effect between EO and performance association.

The findings of this study are based on one country data analysis. This study has been conducted in the SMEs of the apparel industry in Bangladesh, considering only owners and senior-level managers of the firms.

This research has drawn the attention of managers/owners to EO and multiple differentiation strategies enhancing export performance from the developing country context, such as Bangladesh. Multiple differentiation as a competitive strategy is the pioneer application of mediating effect between EO and export performance relationships. Moreover, this research has investigated the effect of the export market category as a moderator. Dearth research has applied the export market category to investigate the moderation effect between EO-performance models. Therefore, current research has theoretical and practical contributions to the international entrepreneurship and strategic management literature.

God promised pious individuals who obey to His commandments, to increase their economic well-being. Although it is difficult to demonstrate with figures in hand this causality relationship, Muslims must believe in its existence and robustness at both the individual and collective levels, as it is argued in Qur'an and the Prophetic Narration. We aim in this paper to model this positive relationship between Islamic work ethics and economic growth and prove theoretically its existence.

We develop an endogenous growth model very close technically to Lucas–Uzawa model (1988) in which the human capital defined as the individual's skill level acquired through formal education and learning by doing is replaced by ethical capital (piety).

The model proves theoretically that Islamic ethics are a key engine of endogenous economic growth and that the underdevelopment of Muslim populations is due to their low ethical capital (lack of piety).

The study recommends some policies such as providing formal religious education at all educational levels (elementary, secondary and higher levels) and promoting ethical values such as piety, sincerity, transparency, etc., through media and cultural institutions. Also, managers could provide courses and training to their workers to teach them Islamic work ethics.

This paper is the first to mathematically model Islamic work ethics as endogenous phenomena in socioeconomic systems and study theoretically their contributions to economic growth.

A long history of literature has considered the role of information risk in determining the cost of equity. The question that has remained unanswered is whether information risk plays any systematic role in determining the cost of equity. One of the fundamental decisions that every business needs to make is to assess where to invest its funds and to re-evaluate, at regular intervals, the quality of its existing investments. The cost of capital is the most important yardstick to evaluate such decisions. Greater information is associated with the lower cost of capital via mitigating transaction costs and/or reducing estimation risk and stock returns. This study aims to investigate the impact of information risk on the cost of equity and corporate stock returns.

The research sample consists of 960 firm-year observations for companies listed on the Tehran Stock Exchange from 2009 to 2018. The research hypotheses were tested using multivariate regression models based on panel data.

The results reveal that information risk has a significant positive impact on the firm’s cost of equity. However, the impact of information risk on stock returns is not statistically significant.

To the best of the knowledge, the current study is almost the first of its kind in the Iranian literature which investigates the subject matter; therefore, the findings of the study not only extend the extant theoretical literature concerning the information risk in developing countries including the emerging capital market of Iran but also help investors, capital market regulators and accounting standard setters to make timely decisions.

The purpose of the study is to investigate the impact of automation on library management services of four selected management institutes at Aligarh.

The investigators used a fashioned questionnaire and informal interviews. They chose samples on the basis of a stratified sampling method and administered the questionnaire according to a random method for collecting the data.

The study revealed that 3 of 4 libraries are partially automated, with the exception of Al-Barkaat which is completely automated. Seventy per cent of librarians believe that automation has improved their library’s services, while 85 per cent of users believe that an automated library system is better than the traditional manual system. Of the four libraries, three have a shortage of general staff and three also lack qualified specialized staff to deal with automation.

The investigators could only select four management institutes because of time and logistic constraints, despite Aligarh being the educational hub of western Uttar Pradesh.

Although many studies of the same kind have already been conducted on library automation in different areas of world, this paper revealed the current status of automation in libraries of selected management institutes at Aligarh.