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Nowadays, supply chain integration (SCI) is considered as an enabler of competitive firm performance. It has three important dimensions: internal, supplier and customer integration. Understanding the interaction between these dimensions and organisational strategy would pave the way for effective implementation of SCI. The famous Miles et al. (1978) strategy typology classifies firms into four strategy types: defenders, prospectors, analysers and reactors. The purpose of this paper is to explore the impact of the core company’s product-market innovation strategy on the dimensions of SCI, and to investigate the comparative strength of each dimension of SCI in defenders and prospectors.

Primary data were collected through an online survey of 112 firms in 24 countries across Africa, Asia, Europe and North America. Direct and mediated relationships were assessed by conducting structural equation modelling on the dimensions of SCI and product-market innovation strategy variables. Cluster analysis was conducted on organisational strategy variables to group the firms into different strategy types. Next, a one-way analysis of variance was applied to assess the impact of organisational strategy on each dimension of the SCI. Finally, a post hoc analysis was conducted to compare the strength of each dimension of the SCI against the different strategy types.

The results indicate that internal integration (II) mediates the positive effects of the core company’s product-market innovation strategy on supplier and customer integration. Furthermore, the results indicate that prospectors have stronger internal, supplier and customer integration as compared to defenders.

This study had two main limitations. One limitation is the lack of consideration of possible differences in the strengths of the investigated relationships across different geographical locations and cultures. The second limitation is the inability of the cross-sectional research design to capture the dynamics in the process of adopting SCI and organisational strategy.

The present study highlights to executives the need for understanding the implications of specific strategies on the SC linkages and relationships that are required to implement those strategies. Thus, it could serve as a preliminary clue in decision-making for establishing integrated SC that is compatible with the organisational strategy. Furthermore, it could serve as a guidance to managers in steering their firms in the organisational adaptive cycle, by indicating that the implementation of product-market innovation strategy requires adopting strong SCI, and by highlighting the importance of adopting II prior to external integration.

This paper tests relationships that explain how the core company’s strategy influences each dimension of SCI.

In this chapter, the utilization of Artificial Intelligence (AI) and Machine Learning (ML) tools, improved by human expertise, offers a detailed investigation into their transformative effects on Corporate Social Responsibility (CSR), Environmental, Social, and Governance (ESG) standards, and sustainability. Initial insights and structural foundations were developed using AI, specifically utilizing ChatGPT-4, with the author significantly enhancing the content through in-depth academic research and analysis. This synergistic approach provides a holistic view of AI and ML’s role in promoting ethical business practices, improving sustainability reporting efficiency, and facilitating informed decision-making within CSR and ESG frameworks. Incorporating extensively verified and expanded real-world examples, the work delves into the practical applications of these technologies and addresses the ethical considerations they raise. This collaboration highlights the evolving role of AI in research and emphasizes the critical importance of integrating AI-generated insights with scholarly research to drive forward sustainable and socially responsible corporate strategies and policies.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

Scholarly works on sex work and sex workers are mostly confined to discourses on human trafficking and the incidence of HIV/STIs among sex workers. Although crucial, this restricted focus has neglected the reality that sex workers are a diverse community, and while their challenges may appear to be linked at first glance, they differ greatly. While extensive research has been conducted on sex workers working in more open settings like brothels, hotels, and streets, there is a scarcity of research on sex workers working in more private spaces, such as, for instance, their own homes. Within the hierarchy of sex workers, home-based sex workers (HBSWs) among the indoor sex workers dominate commercial sex transactions. However, they are often overlooked due to their covert nature and invisible landscape. This chapter addresses the knowledge gap by examining the work lives and conditions of home-based female sex workers (FHBSWs) in Punjab. The study analyzes the complex lives of sex workers who use their home as both a family unit and a workplace. A detailed analysis of the risks and vulnerabilities they face in their daily lives and their coping strategies is also examined in this chapter. The study points out that although working from home may have positive outcomes for sex workers, the integration of sex work into the home environment exposes them to several challenges. Hence, the study emphasizes the need for tailoring interventions for sex workers who operate in different physical environments so that their unique needs and challenges are well addressed.

Parts that are to be used in aircraft, satellites, automobiles and ships should have sound microstructure. Components made from AA6082/Si₃N₄ and AA6082/SiC composites are in demand from industries. Hence, these components are to be fabricated by suitable technique at the appropriate value of process parameters. The purpose of this paper is Microstructure analysis of AA6082/Si3N4 and AA6082/SiC composites

AA6082/Si₃N₄ and AA6082/SiC composites are successfully fabricated using the stir casting process. Their microstructures have been analyzed. This has been done at different magnification. The effect of the addition of Si₃N₄ and SiC particles in the 6082 aluminum alloy is investigated. Microstructure of AA6082/Si₃N₄ and AA6082/SiC composites are also compared. Results show that Si₃N₄ and SiC particles have good wettability with AA6082. These reinforcement particles are homogeneously distributed in the matrix of AA6082.

There are no adverse effects of reactions in the microstructure of AA6082/Si₃N₄ and AA6082/SiC composites. There is not much difference between the distribution and interfacial characteristics of Si₃N₄ and SiC particles. AA6082/Si₃N₄ and AA6082/SiC composites have good properties. This is high strength at low density. Due to which they become suitable for the aircraft and space industry. So far, SiC, Al₂O₃ and tungsten carbide have been mostly used as reinforcements with different grades of aluminum alloy.

Not much experimental work is found with Si₃N₄ and SiC particles as reinforcement with AA6082. The novelty of this research work is that an effort has been made to fabricate AA6082/Si₃N₄ and AA6082/SiC composites at such values of process parameters, by stir casting process, so that sound and defect free microstructure is obtained. Microstructure of AA6082/Si₃N₄ and AA6082/SiC composites is also compared, to find which is better.

This study aims to synthesize two organic heterocyclic compounds, (2E,3E)-6-chloro-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR1) and (2E,3E)-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR2), characterize them using nuclear magnetic resonance spectroscopy (1H-NMR and 13C-NMR) and evaluate their effectiveness as corrosion inhibitors in an acidic environment (15% HCl).

The synthesized compounds, MR1 and MR2, were tested for their corrosion inhibition properties using potentiodynamic polarization and electrochemical impedance spectroscopy. Post-corrosion, the steel surface was analyzed with scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and atomic force microscopy (AFM) to confirm the adsorption of the compounds. The experimental findings were further supported by density functional theory calculations and molecular dynamics simulations.

The results indicated that both MR1 and MR2 exhibit significant anticorrosive activity in a 15% HCl environment. The analyses performed with SEM, EDX and AFM confirmed the effective adsorption of the inhibitors on the steel surface, forming a protective layer. Theoretical studies provided additional insights into the adsorption mechanisms and stability of the inhibitors.

This work introduces novel organic heterocyclic compounds based on quinoxalinone as effective corrosion inhibitors in acidic environments. The combined experimental and theoretical approach provides a comprehensive understanding of their anticorrosive behavior.

The purpose of this study is to explore the current state of knowledge of sustainable entrepreneurship (SE) and to gain more insights from the articles originated from the emerging economies. This paper also sets an agenda for future research in this knowledge domain.

The authors perform a systematic literature review by analyzing the primary studies related to SE originating from emerging economies from Asia, Africa and the Middle East. This review scrutinizes a total number of 45 studies to explore the current state of research in this knowledge domain from such economies.

Overall, this review finds that SE research is still at the nascent stage, especially in the context of emerging economies. The authors elicit a few sub-themes, within the SE research, such as individual-level factors, organizational-level factors, institutional-level factors and cultural and social factors.

The authors present a few limitations of this study. Firstly, this study uses articles from the Scopus and Web of Science only. Secondly, this systematic review is limited to the articles originated from emerging economies of Asia, Africa and the Middle East. Thirdly, this review gives overall picture of the SE research in emerging economies and the same in other economies is not in the scope of this study.

The findings of this study will be helpful to the researchers to locate avenues for future course of research in SE field. This study helps the policymakers and educational institutions of emerging economies understand and ingrain sustainability element in entrepreneurship, and thereby helps them to fulfill sustainable economy and sustainable development goals.

To the best of the authors’ knowledge, this study is the first of its kind in the field of SE in emerging economies. This review gives more insights on the state of SE in the emerging economies, as these economies can significantly contribute to the realization of Sustainable Development Goals.

This study aims to analyze the relationship between the alcohol brewing industry and the macroeconomic variables of the emerging market of Asia.

The study uses secondary data for the period of 32 years and applies the autoregressive distributed lag-error correction method (ARDL-ECM) approach to understand short- and long-run dynamics in the alcohol industry by considering macroeconomic variables.

The findings of the study confirm the existence of a long-run relationship between the alcohol brewing industry and the macroeconomic variables considered for this study.

The authors present a few limitations of this study. First, this study uses secondary data originating from one of the emerging markets of Asia. Second, the study is solely conducted from an economic perspective rather than from a social or health perspective. Finally, the study considers the data originating from the organized sector of the alcohol industry of India.

The study will be helpful to the researchers in guiding the future course of research in the area of the alcohol industry. This study can be helpful to the policymakers in framing the National Alcohol and taxation Policy. This study also helps both the producers and exporters to strategize sustainable production and trade of alcoholic beverages.

To the best of the authors’ knowledge, this study is the first of its kind to analyze the alcohol industry from the macroeconomic perspective through the ARDL-ECM approach.