Search results

The study addresses the crucial issue of sustainable development goals (SDGs) and institutional voids in the peri-urban geographies of India. The peri-urban geographies, though within a cosmopolitical city, lack basic amenities like drinking water, sanitation and waste management. We study social entrepreneurial strategies to address these issues and thereby illustrate strategies that could be used to address sustainable development goals.

The article uses a multiple case study method to understand how social enterprises can provide scalable solutions addressing SDG related issues in India.

The research found three strategies that can help provide scalable solutions: First, the extensive use of the latest digital technologies to decrease cost and increase reach; second, extensive partnerships across the board; and finally, a focus on social innovations and business models that are accessible, affordable, available and known to the end-users.

The research contributes to institutional voids literature, SDGs literature and scaling of social enterprise literature. The research confirms that institutional voids are entrepreneurial opportunities. The research empirically shows how social enterprises are addressing SDGs at BoP. Finally, the core findings of the article contribute to the scaling of social enterprise literature.

The purpose of this study is to explore how social entrepreneurship empowers women and how it influences the existing gender based intersectionalities in the society. This paper is based on a single case study of a social entrepreneurial startup called “Pahal,” which used social entrepreneurial strategies to encourage women to engage in economic activities, which helped them in gaining economic empowerment.

The researcher alongside the social entrepreneur visited the field for eight months from August 2016 to March 2017 and interviewed multiple stakeholder-employees (as partners) of the social enterprise. This study was done by conducting interviews with all the stakeholders in all the three social entrepreneurial phases, i.e. pre-Pahal, during-Pahal and after-Pahal. The interviews and observations were recorded and analysed using social entrepreneurial lens and intersectionality.

“Pahal Initiative” – is a social entrepreneurial intervention that helped the women in the household to start a food delivery business with the support of the social entrepreneur. Consequently, women gained confidence and self-respect. The attitude of men in the household changed when the women in the household generated additional income. It impacted their position and status which led to an increase in their participation in decision-making in the household and economic independence. The women become more interactive and expressive in a predominantly patriarchal household. Within one year, the entrepreneur had to stop the Pahal initiative. Then, this study observed and recorded that this event curtailed the economic activities undertaken by the women in their village and their social status reverted to what it was before the initiative.

First, social entrepreneurial strategies lead to economic value creation and lead overall socio-economic gains. Second, social entrepreneurial strategies address the problems of patriarchy and gender discrimination. Third, economic activities undertaken by women changed the social perceptions of the family members towards women in the families.

From this case study, one observes that social entrepreneurship has a strong potential to bring about social and economic change. This study helps policymakers and non-governmental organisations to solve poverty and gender discrimination related problems using social entrepreneurial strategies.

This study uses social entrepreneurial intervention to understand and bring about change in the socio-economic status of women in rural India. This study uses an intersectionality lens to make sense of the data, reality and reflects on how intersectional positions are altered when women are economically empowered either through training or through a proper organisation or both.

The purpose of the present study is to contribute to the existing literature by examining the nexus and the connectedness between classes S&P Green Bond Index, S&P GSCI Crude Oil Index, S&P GSCI Gold, MSCI Emerging Markets Index, MSCI World Index and Bitcoin, during the pre-and post-Covid period beginning from August 2011 to July 2021 (10 years).

The study employs time-varying parameter vector autoregression and Quantile regression methods to understand the impact of events on traditional and upcoming asset classes. To further understand the connectedness of assets under consideration, the study used Geo-Political Risk Index (GPR) and Global Economic Policy and Uncertainty index (GPEU).

Findings show that these markets are strongly linked, which will only expand in the post-pandemic future. Before the pandemic, the MSCI World and Emerging Markets indices contributed the most shocks to the remaining market variables. Green bond index shows a greater correlation and shock transmission with gold. Bitcoin can no longer be used as a good hedging instrument, validating the fact that the 21st-century technology assets. The results further opine that under extreme economic consequences with high GPR and GPEU, even gold cannot be considered a safe investment asset.

Financial markets and the players who administer and communicate their investment logics are heavily reliant on conventional asset classes such as oil, gas, coal, nuclear and allied groupings, but these emerging asset classes are attempting to diversify.

The purpose of this paper is to analyze how corporations create social and economic value through corporate social entrepreneurial activities.

This paper employs a multiple case study approach. The selected cases cover companies that have a clear corporate social enterprise model in operation and address different prevailing social problems.

This study reveals that corporate social entrepreneurship (CSE) is driven by the environmental dynamics, organizational antecedents, and organizational outcomes. In addition, the authors found that CSE provides companies with both implicit and explicit strategic benefits. Based on the findings the authors propose an integrated model of CSE.

As all cases originate from India the authors cannot rule out the possibility that the conclusions are only valid for a certain institutional and socio-economical context.

The developed model is useful for companies operating in complex environments in developing markets as it provides recommendations on how to strengthen social and public legitimacy and earn returns on their business investments. Moreover, the developed model helps companies operating in antagonistic environments with prevailing social problems to position themselves favorably.

The study attempts to legitimize the practice of CSE by highlighting the positive financial, social, and political outcomes.

This study presents an integrated model of CSE in the Indian context and outlines how corporations can draw implicit and explicit benefits.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.