Recent disasters have emphasized the need for further action to protect businesses and society from long-term sustainability threats. We believe that the crisis is hastening nascent ESG trends, and that the increased focus on a company’s environmental and social impact will last long after crises have passed. We refined three fundamental concepts that guide our thinking on investing based on environmental, social, and governance factors as our approach to sustainable investing has evolved. The ESG factor assessments are more of an inherent aspect of a sound investment process than a separate investment discipline. When ESG variables are considered, the focus is on long-term risk adjusted investment returns. Investors should choose the strategy that best matches with their goals and interests. ESG investing is not a simple yes or no answer. The research gap extracted from the previous studies is to determine the relationship among the influencing factors of ESG and its priority with their driving and dependence capabilities. We used an ISM Approach to uncover the interrelationships and influencing behavior among the elements for considering ESG in investment after conducting a thorough literature research and consulting with experts. Here interpretive structural modeling (ISM) was used to explore the links among such extracted factors and its interdependencies. There was also focus on the short-term and long-term factors to achieve our desired objective. Our research will assist businesses in attracting and obtaining finance. The results of this analysis will be helpful for leaders to understand the impact of ESG on the investment aspects of an organization.

Purpose: Acceptance of remanufactured products by the consumers is highly essential for the success of closed loop supply chain and for achieving the goal of circular economy. However, the literature shows that consumers are reluctant to purchase remanufactured products. Therefore, the study of attitude and purchase intention (PI) of the consumers toward remanufactured products becomes inevitable for popularizing these products. The paper aims to discuss this issue.Design/methodology/approach: This research proposes a conceptual model to examine the critical factors influencing the PI of Indian consumers toward remanufactured products. Further, this model is empirically tested, using structural equation modeling technique, based on the data obtained from 1,534 respondents.Findings: The findings of this research suggest that PI of consumers is influenced by attitude, personal benefits, remanufactured product knowledge, risk perception, subjective norm and market strategy. However, perceived behavior control and green awareness have a non-significant impact on the PI of Indian consumers.Research limitations/implications: The proposed conceptual model is tested only against the data received from the students of Indian universities who possess electronic gadgets.Practical implications: The circular economy can be realized through remanufacturing if the attitude of consumers is shaped positively toward remanufactured products through the dissemination of comprehensive product information.Originality/value: This research is the first attempt to assess the PI of Indian consumers by developing and testing the conceptual model. Further, this research provides guidelines to remanufacturing firms for attracting the consumers toward the purchase of remanufactured products.

Purpose: – The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors. Design/methodology/approach: – There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs. Findings: – In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India. Research limitations/implications: – The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors. Practical implications: – Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India. Originality/value: – The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.

Purpose: In order to enhance the performance of R&D in manufacturing organizations, the R&D managers need to identify the internal as well as the external factors that affect the R&D performance of manufacturing organizations in India. They need to understand the inter‐dependencies of these factors. This paper seeks to identify the critical success factors for R&D in Indian manufacturing firms.Design/methodology/approach: There may be a number of factors that are critical for achieving acceptable R&D performance and these factors have been identified by a number of instruments or means, such as questionnaire surveys, brainstorming, and consolidation by Principal Component Analysis (PCA). A total of 14 factors have been identified by using principal component analysis and finally we have developed a structure of interrelationship among the identified critical success factors using an interpretive structural model.Findings: The results show that R&D vision and direction and R&D oriented culture are the most important critical success factors (CSFs) and they have a great influence on the other CSFs. Though R&D vision and direction and R&D oriented culture are the short‐term objectives, Indian manufacturing firms should be equipped with proper R&D management strategy to achieve the long‐term objectives, such as achievement of revenue and profitability within a quick time frame.Practical implications: Although R&D managers of Indian manufacturing firms are aware of various critical success factors, a systematic approach is required for identifying them, and as these factors may have complex interrelations between them for analyzing R&D performance in a manufacturing firm, it is essential that such an approach is in place. The hierarchy based ISM further defines those factors which are really critical and need more focus on the root causes of the success. In addition to that, the proposed ISM model acts as a good guideline in order to improve the performance of the manufacturing R&D organizations in India.Originality/value: The paper provides an interpretive structural model to develop a map of the complex relationships and magnitude among identified critical success factors.