For over a decade, sustainability has been a major concern for organizations as awareness about environmental degradation, natural resource depletion and climate change has increased. In addition, voices raised by social organizations on various social and environmental issues in developing countries have forced organizations to focus on sustainable manufacturing practices. This research mainly focuses on socially sustainable supplier selection through social parameters by using the analytic hierarchy process (AHP) in decision making. This methodology demonstrates the development of social sustainability indicators, including equity, health, safety, wages, education, philanthropy, child and bonded labour which are validated by experts. The study also describes how the above mentioned metrics may be used to prioritize alternatives for decision making using AHP. The study further demonstrates practical applications of social sustainability dimensions in selecting suppliers for manufacturers operating in emerging economies. Three case studies illustrating this methodology have also been included. The case studies further analyse the results of the methodology along with the tradeoffs supply chain managers make. Findings show that manufacturers of electrical, automotive and cement industries were able to select suppliers based on the social sustainability score. This study helps supply chain managers integrate various social dimensions into the supply chain function. The results of the study draw the attention of all stakeholders towards social dimensions by necessitating the importance of social conditions upon suppliers

Barriers to women entrepreneurship are numerous but they are all treated with equal importance in prior research. We believe prioritisation will advance our understanding further. Hence, we start by identifying barriers from earlier studies and explore possible causality among them. A framework based on cause and effect relationship among barriers is proposed. Decision-making trial and evaluation laboratory (DEMATEL) technique was used to establish this causality. Our analysis identifies five of the 14 barriers as causal. They are as follows: lack of education, experience and training opportunities; spatial mobility and lack of family support; lack of institutional support; lack of entrepreneurial management; and problem in acquiring financial resources. Women entrepreneurs, scholars and policymakers will gain greater understanding through this causal framework of barriers. Knowledge and containment of these barriers will help in fostering a more conducive environment for enabling more women to attempt entrepreneurship.

Now a days global competitive scenario plays a critical role in success of Indian manufacturing sector. The present study argues that innovation can play a very important role in providing this competitiveness of Indian manufacturing sector. The study identifies 11 enablers for promotion of innovation in the Indian manufacturing sector. Based on the rigorous literature review 11 major innovation enablers (IEs) are obtained. The Delphi technique is applied as a potentially valuable tool for the grouping these enablers. The study, analyse the impact of innovation enablers (IEs) to enhance the manufacturing competitiveness and categories into three phases firstly, identification of innovation enablers, secondly, qualitative analysis of enablers and final quantitative analysis of the innovation enablers. The research theme has been categories into three segments, i.e. identifying the enablers from the literature, conduct interviews with directors of different departments and analysis of the manufacturing industries. The study involves 100 manufacturing companies across India and the data is gathered using a 5-point Likert scale. Interpretive Structural Modeling (ISM) has been used to analyse the relationships among these enablers as well as fuzzy MICMAC (Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement) analysis used to find out driving and the dependence power of enablers. To identify the driving and the dependence power of various IEs the final outcomes of ISM are used as input to the fuzzy MICMAC analysis. This analysis serves to identify which (IEs) is performing as the most leading one to raise the competitiveness of manufacturing industries. This study plays a vital role to enhance the competitiveness of manufacturing industries in India

Purpose: – This study aims to identify various enablers and the inter-relationships among them in adopting social sustainability measures in the supply chain. Social sustainability in the supply chain has received growing attention in the recent years, due to growing awareness on equity, health and safety, education, child and bonded labor and ethical practices in corporates.Design/methodology/approach: – Various enablers and their contextual relationships were identified. The enablers were classified based on dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the enablers to the social sustainability problem has been put forward using the interpretive structural modeling technique.Findings: – In this study, 14 relevant enablers were identified from literature review and subsequent discussions with experts from academia and the industry. Competitive pressure leads at the bottom of the digraph with high DP, followed by customers ' requirements, financial liquidity and social concern. Social sustainability awareness was found to be at the last level with less DP.Research limitations/implications: – Enablers were developed based on literature survey and expert opinions. Hence, the model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on social sustainability practices in the supply chain.Practical implications: – The development of a hierarchy not only helps the supply chain managers to understand the enablers better, based on their importance, but also helps in decision making in the supply chain, which in turn enables the corporations to be competitive.Social implications: – Findings of this article will help the corporations to be more socially sustainable by understanding the various enablers and their contextual relationships in the supply chain.Originality/value: – The structured social sustainability model helps supply chain managers and experts to understand interdependence of the enablers. This also helps in identifying different enablers with different degree of importance, which will be very much useful in adopting social sustainability measures in the supply chain.

Environmentalism has become an important social and corporate issue during the twenty-first century. Consumers are becoming more environmentally conscious and are demanding green products from manufacturers. This has resulted in the emergence of new concepts like green marketing and green consumerism. Over the years various studies have investigated the concept of green consumer behaviour and have listed out factors that work as either barriers or enablers when it comes to consumer adoption of environmentally sustainable products or lifestyles. The present study aims to identify and evaluate the enablers that facilitate consumer adoption of green products. Using Interpretive Structural Modelling a series of initial relationships was established that predict how the joint effect of these enablers affect green consumer behaviour and green product adoption.