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First, we explored the dynamic relationship between the economic and financial cycles under a unified endogenous framework. There is less literature on the relationship between the financial cycle and the economic cycle endogenously under a unified framework. Our research helps to fill the gap in this area. Second, there is no conclusive evidence on whether the monetary policy framework should take the financial cycle into account. Our findings provide a clear answer and a useful reference for the practice of monetary policy in other countries.

We incorporate the financial cycle equation based on the traditional new Keynesian model to construct a new Keynesian four-equation model that includes financial factors and further explores the dynamic relationship between the economic cycle and the financial cycle under a unified endogenous framework. We choose the three-stage least squares (3SLS) method for the estimation of the model. Then we utilize a time-varying parameter vector autoregression (TVP-SV-VAR) model incorporating stochastic volatility to explore the mechanism of the dynamic association between the financial cycle and monetary policy in China.

First, we explored the relationship between the economic cycle and the financial cycle. The results show that the financial cycle has a significant positive impact on the economic cycle, but the economic cycle has a limited effect on the financial cycle. Then, we examine the linkage mechanism between China’s economic cycle, financial cycle and monetary policy. The results show that the response of China’s monetary policy to economic cycle shocks and financial cycle shocks is more significant. Moreover, monetary policy is giving higher and higher weight to the financial cycle.

First, we constructed a new Keynesian four-equation model incorporating financial factors to explore the dynamic relationship between the economic and financial cycles under a unified endogenous framework. There is less literature on the relationship between the financial cycle and the economic cycle endogenously under a unified framework. Our research helps to fill the gap in this area. Second, there is no conclusive evidence on whether the monetary policy framework should take the financial cycle into account. Our findings provide a clear answer and a useful reference for the practice of monetary policy in other countries.

Demand-controlled ventilation (DCV) plays a significant role in human life by providing safe, reliable and cost-effective services that are environmentally friendly and enhance occupant satisfaction and building energy efficiency. Significant decisions are made at the early stages of building sector DCV systems, requiring effective tools to avoid measurement errors and failures in Volatile Organic Compound (VOC) generation. The continuous upgrading of this sector is necessary to respond to technological advances, environmental changes and increased ventilation demands. Integrating indoor air quality (IAQ) and machine learning algorithms (MLA) proves promising, as the scope of DCV typically does not extend beyond the footprint of the building; it does not encompass IAQ within a Corona Virus Disease 2019 (COVID-19) infection risk information. Therefore, integrating IAQ with MLA provides a comprehensive overview of the building sector’s DCV systems. However, this integration poses challenges, particularly in DCV activities, as they are among the most complex systems involving numerous processes critical for making important decisions. This study aims to identify how digitalized construction environments can integrate DCV into their processes.

This study reviews the literature on integrating IAQ with MLA systematically, aiming to analyze the DCV need for this integration and its benefits. It proposes a direction for a conceptual framework, simulation and causal explanation of the problems using the bootstrapping technique and Cronbach’s alpha factor analysis to establish the requirement for facilitating specific ventilation control processes to be incorporated into the system approaches in managing infection prevention and energy efficiency in the building sector’s DCV system.

This study proposes a conceptual framework for analyzing IAQ within a COVID-19 context and MLA embedded in systems that may impact DCV practices. The conceptual framework comprises six key constructs: virus detection, occupant ventilation behavior, DCV energy consumption, diagnostic evaluation, temperature perception cluster and indoor environmental quality. The conceptual framework underscores the importance of early integration of DCV in the design phase to identify alternative methods to cogenerate, monitor and optimize DCV.

So far, this study advances the knowledge of how digitalized construction environments can ensure DCV delivery. The testing results highlight four significant relationships between the constructs of strategies and the constructs of occupant-density factors in the Malaysian dataset within the existing conceptual framework. Hence, the framework designed for developed countries or US companies can enhance IAQ ventilation strategy options in Malaysia’s G7 contractor companies. A future study can validate the framework across the design phase with different construction stakeholders.

The 2030 Agenda for Sustainable Development underscores eradicating global poverty (Goal#1) and empowering women and girls (Goal#5) to foster sustainable, inclusive communities (Goal#11). The World Bank recognises female entrepreneurship as a catalyst for global economic growth, poverty reduction and gender equity. This chapter delves into the challenges hindering female entrepreneurship, obstructing poverty alleviation and community sustainability efforts worldwide. Public–private collaborations are crucial to support women in launching start-ups, adopting new technologies, enhancing digital skills and accessing financing in the era of Industry 4.0.

Our focus is on women entrepreneurship in BRICS nations due to their diverse growth trajectories and global economic significance. Employing a qualitative approach, we analyse public and private initiatives promoting female entrepreneurship in BRICS countries. Our findings highlight both commonalities and distinctions in their strategies and policies, implicitly contributing to poverty reduction and social and economic growth. This chapter not only identifies barriers faced by women entrepreneurs but also underscores factors fuelling their ventures. It offers a practical toolkit for scholars, policymakers and practitioners (entrepreneurs and consultants) to devise tailored strategies and actions for local growth and intervention. The study comprises four parts: the introduction, setting the chapter's goal and previewing outcomes; the second part, exploring female entrepreneurship as a key to poverty alleviation and community sustainability; the core, the third part, unveiling in-depth BRICS country analysis; and the conclusion, summarising implications and highlighting avenues for further research.

This academic analysis explores the dynamic landscape of wellness tourism from 1998 to September 2021, emphasizing the surge in scholarly publications post-2010, primarily contributed by the United States. Key findings identify major authors, significant papers, and evolving trends while acknowledging research limitations and offering recommendations. Additionally, the 2022 study highlights 10 pivotal elements enriching holistic health resorts, coupled with strategic marketing and DMO influence. A comprehensive review utilizing the PRISMA methodology reveals two significant research clusters, focusing on tourist motivations and behavior, anticipating post-pandemic research and the need for diverse data sources. Wellness tourism embodies dynamism and diversity, driven by an ever-growing yearning for well-being, relaxation, and self-care. Travelers can choose from a broad spectrum of dimensions and destinations to personalize their wellness journeys according to their unique aspirations and goals, making it an exceptionally adaptable and customized form of travel. The industry's trajectory is set for continued expansion and transformation as more individuals acknowledge the paramount importance of nurturing their holistic well-being. However, a notable research gap is identified: the incorporation of cutting-edge technologies like wearable technology, virtual reality, and artificial intelligence in wellness tourism remains underexplored. This study addresses this void by investigating the utilization of technology to craft personalized and immersive wellness experiences, its impact on traveler preferences and behavior, and its role in destination management and marketing strategies. Recognizing technology's pivotal role in wellness tourism, this study seeks to bridge the gap between traditional wellness practices and contemporary technological advancements, fostering a holistic approach to well-being in the modern era.

As per the vision of promoting agricultural collectives, the government of India promoted the farmer producer organization (FPO). However, with the fast growth of FPOs, there is an issue with performance measurement. This study is aimed at the development of performance metrics for the FPOs.

In the first stage, we selected the measures from a secondary literature review and identified 11 parameters. Further, the Delphi round was conducted in the second stage with 26 experts working with FPOs and they were asked to rank these parameters. Based on the weightage of each parameter, the most important parameters were decided. The mean ranks and deviations of the performance parameters were analyzed. The hypothesis test and Kendall’s coefficient of concordance have been further used to validate the performance parameters. In the third stage, based on the inputs from the experts, a questionnaire was designed, and the data was collected from chief executive officers (CEOs) of the FPOs to identify the most important performance parameters.

The experts identified governance, financial support and professional management as important measures for FPOs. In the second round of the study, finance and governance were identified as the most important factors. It is important to note that finance and governance were the two most important factors in making an FPO successful. Finally, a 100-point metric was developed in seven major heads.

This study will be advantageous for all the stakeholders involved in the promotion of FPOs, including FPOs themselves, funding agencies providing funds to FPOs, skill-building organizations, etc.

This paper is one of its kind to develop a 100 points metrics for performance evaluation of FPOs.

Digitalization is one of the major factors that fosters economic growth across the world. However, the level of digitalization varies significantly between developed and developing countries, with the latter often lagging behind. To bridge this gap, it is crucial to pinpoint the drivers of digitalization, specifically from the macroeconomic and country-level governance dimensions. Therefore, this study aims to investigate the determinants of digitalization, particularly for countries in Asia and the Pacific region.

Our study utilizes unbalanced panel data from 46 Asian and Pacific countries for the period of 2001–2021. Initially, we analyzed the data using conventional econometric methods, such as pooled ordinary least squares (POLS), random-effects model (REM) and fixed-effects model (FEM). Moreover, we employed endogeneity-corrected techniques and alternative proxies to enhance the robustness and reliability of our findings.

Our findings reveal that economic development progress, government expenditure relative to country size and political stability are key drivers of digitalization. In contrast, corruption at the country level emerges as a significant impediment. Notably, our results remain robust to endogeneity-corrected techniques and alternative proxies of digitalization. Overall, these insights can inform policymakers, helping them to understand the macroeconomic and governance factors shaping digitalization and guide their decision-making toward effective policy interventions.

This study’s empirical findings add significant value to the existing literature by quantifying the impact of macroeconomic and governance factors on digitalization in selected countries. This offers valuable insights for policymakers, particularly in nations with lower levels of digitalization.

Given the sudden increase in plant investments across the manufacturing sector due to recent disruptions in the global supply chain caused by the COVID pandemic, the Ukraine/Russian war, ocean piracy incidents, and others, there is a need to strategically align the investments decisions with the overall business strategy. This study aims to establish whether strategic alignment enhances the effect of plant investments on operational performance.

Using the fifth version of the Global Manufacturing Research Group (GMRG V) dataset, we employ a structural equation model (SEM) to establish the moderating role of strategic alignment in plant investments-operational performance relationships.

The results suggest that strategic alignment enhances the positive effect of plant investments on operational performance, especially in cost, delivery, flexibility, and innovation. However, we found partial support for the moderating role of strategic alignment on quality performance.

Although the study was based on the GMRG global dataset and numerous papers have been published using the same dataset, the use of a convenience sample on a select group of companies may limit the generalizability of the results. With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

The study comprehensively demonstrates that the extent of improvement in operational performance depends on how closely plant investment decisions align with the overall company strategy. Manufacturers should align major investment decisions with competitive priorities driven by market requirements to enhance operational performance.

The study aims to study the extent of research done in luxury marketing in an emerging economy like India by conducting a bibliometric analysis. A period of 21 years has been considered to present a comprehensive picture for results and analysis. Key findings indicate the gaps and scope of further research for academics in India and abroad. The findings indicate a dearth of research by scholars and academicians in luxury, counterfeit and masstige, especially when there is a surge of the upper middle class in India. More specifically, Indian-grown luxury brands also present a massive scope for future research.

In recent years, the emergence of Industry 4.0 technologies as a way of increasing productivity has attracted the attention of the manufacturing industry. This study aims to investigate the relationship between Industry 4.0 technologies and lean tools (LTs) by measuring how the internalisation of LTs influences the adoption of Industry 4.0 technologies and how the synergy between them helps improve productivity in European manufacturing firms.

Results from 1,298 responses were used to analyse linear regression and study the correlation between the use of LTs and Industry 4.0 technologies.

Results show that the companies analysed tend to implement more Industry 4.0 technologies when their level of lean internalisation is high.

This study provides useful information for managers of manufacturing firms by showing the correlation between LT internalisation and Industry 4.0 technologies, corroborating that optimal implementation of these technologies is preceded by a high level of LT internalisation. Furthermore, although there are studies showing the relationship between LTs and Industry 4.0 technologies, none consider the intensity of their implementation.

The purpose of this paper is to investigate how the rising domestic food price inflation in India is influenced by global macroeconomic factors like crude oil, exchange rate, foreign aid, global food prices and trade openness from January 1993 to December 2022.

The study has employed the structural break, autoregressive distributed lag cointegration tests to assess the stationarity and long-term relationship between the variables and the Toda–Yamamoto Granger causality test to demonstrate the causal relationship between the variables.

The study highlights the long-term relationships among variables, shedding light on the influence of global macroeconomic factors on domestic food price inflation in India. It reveals that food price inflation in India is positively influenced by crude oil prices and global food prices while being negatively affected by currency rates, foreign direct investment and trade openness.

Based on the findings, the study suggests that initiatives to reduce demand for crude oil and imported food products could help mitigate domestic food price inflation in India. Addressing the depreciation of the exchange rate is crucial to combat significant inflation in domestic food prices, calling for specific government interventions. Furthermore, promoting trade liberalization and foreign direct investment in the agricultural sector could help alleviate domestic food price inflation, emphasizing the importance of reducing customary trade barriers to encourage investment and trade openness.