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The purpose of this paper is to examine the relationship of gender-sensitive practices and family support in predicting psychological well-being of women assessed as stress, job satisfaction, commitment and intent to leave. Using the crossover theory, it also examines how gender-sensitive practices lead to family support, which in turn leads to reduced stress leading to high satisfaction and commitment and reduced intention to leave.

Data were obtained from a sample of 302 women employees working in call centers in NCR, India on psychometrically sound scales.

Analysis revealed that gender-sensitive practices are positively related to family support through the mechanism of crossover. Amply supported by data, the study exhibits the complementary relationship between gender-sensitive practices and family support, and their impact on psychological well-being of women employees.

The sample may reflect same source bias as the data are collected from a single source.

The implementation of effective gender-sensitive practices might invite strong family support and then, both can be a source of great happiness to women employees and can lead to reduction in stress and, hence, greater job satisfaction, commitment and lesser intent to leave.

Very few research exist which have taken up the issue together. So, this study is an endeavor toward understanding the relationship between gender-sensitive practices and family support and their effect on job outcomes in a novel socio-cultural environment.

This paper aims to investigate the impact of geopolitical events of the Russia–Ukraine conflict on the stock market volatility of G20 countries. Furthermore, the paper also investigates the possible reasons for any similarities or differences in the results of the three sectors.

This paper measures the impact of the stock market sectoral index price (SIP) by using the daily closing price as a dependent variable. In addition, this study uses three independent variables: geopolitical risk (GPR), commodity price (CP) and foreign exchange rate (FER). Seventeen countries from the G20 are analyzed using a daily timeframe from September 2021 to August 2022 (before and during the Russian invasion).

The results revealed that FER, CP and GPR all affect SIP, but the level of significance and positive/negative signs vary in all three sectors. The positive FER affects SIP in all sectors, while the negative CP and GPR significantly impact SIP in the energy and transportation sectors.

This study’s research model is more suited for transportation and energy than consumer goods. Future researchers can enhance the research model for the consumer goods sector by incorporating additional variables to understand their relationship with SIP better.

This study explores the impact of the Russia–Ukraine conflict on the stock market in G20 countries, focusing on the top three most affected sectors.

Introduction: Micro, small, and medium enterprises (MSME) have long been viable in the Indian economy. In the case of post-COVID-19, 20–40% of MSMEs in government can be permanently closed. The state should pay special attention to MSMEs for survival (Min, 2023).

Purpose: This chapter provides a framework for MSMEs to study industry challenges in Punjab and to discuss the conceptual framework and road map for future MSMEs in Punjab.

Need for This Study: The COVID-19 pandemic has drastically impacted the variable economic activities within the world. This study is responsible for explaining the different vulnerable sectors related to small- and medium-sized enterprises. On the other hand, this study is an analytical and descriptive research in nature.

Methodology: A mixed method of data collection has been used in this chapter. The data have been collected by floating a questionnaire to the various entrepreneurs of MSMEs. Secondary data have been collected through the Internet.

Findings: Through this research, we could analyse the MSMEs’ conceptual framework, the challenges they face, and the industrial units’ future roadmap.

Practical Implications: This research is mainly considered a clear explanation of current competition and market access challenges that small- and medium-sized enterprises face. This situation is derived due to the COVID-19 pandemic, so many enterprises are trying to find their exit ways. On the other hand, some MSMEs are trying to focus on the online business market to make some profit and to overcome the loss.

Children are becoming consumers at younger ages; a variety of influences and experiences shape their as well as their family’s consumer habits. With the changing economic scenario, power has been shifting toward the new emerging economies. These nations are rapidly developing, where the children population is high, parents are young and have money to spend. This study aims at exploring family’s consumer decision-making process to understand the influencing role of young Indian children in a family setting.

This study analyzes young children and their parents through semi-structured interviews with the families. The phenomenological interviews with six families in the National Capital Region of India capturing 23 informants were conducted.

Children’s influence is omnipresent, in all the product categories as well as buying stages. For products of their direct use like books, clothes and snacks items, they are very much involved and their level of influence is highest from both the parents’ and children’s perception. Role of siblings and joint collaboration with the grandparents are also parts of the findings.

This study attempts to actively listen to young children’s voices. However, it is acknowledged that in some families, the parent’s presence may have affected the results.

There are just few studies that have tapped the family’s consumer decision-making intricacies. There exists an enormous research gap which needs to be filled by more empirical research into the arena of family consumer decision-making. Also, India has a distinct cultural entity as compared to Western nations; to understand how children influences in such traditional setting is insightful.

This chapter studies the effects of the COVID-19 pandemic on the economic structure of the US and EU economies by measuring its impact on some reference macro-economic variables. We use a factor model approach on a set of variables available at different frequencies (daily, weekly, monthly, and quarterly) and provide evidence of instability in the primary factors driving the economy. A sequential analysis of the factors allows us to evaluate the model's forecasting performance and extract some instability measures based on the factor model's eigenvalues. Finally, we show how to use COVID-related variables, such as policy, economic, and health indicators, to compute conditional forecasts with factor models, and perform a scenario analysis on the variables of interest to understand economic instability.

This chapter examines how Maragoli women farmers’ plot-level crop control, individual, and household variables affect yields. This chapter contributes to a holistic understanding of the ramifications of quantitative and qualitative factors informing women farmers’ plot-level undertakings and yields as well as their innovative and creative strategies for optimizing output. It broadens the existing debate in the sub-Saharan African agricultural production literature by suggesting a composite measure of plot-level crop control as one factor influencing women farmers’ yields even in situations where land is owned by someone else. It also provides a rich discussion of the various and interlocking qualitative factors distorting women farmers’ incentive structures, efforts to increase plot-level yields and their strategies for minimizing the detrimental effects of the same.

A multimethod quantitative and qualitative ethnographic case study approach was used in this study.

This chapter demonstrates that women strategically bargained and invested more of their productive resources on the plots where they anticipated the greatest individual gains.

This chapter underscores women farmers’ ability to boost agricultural output when there are appropriate incentives for them to do so and suggests the theoretical and practical relevance of secure control and property rights over the products of the land not for the household (head), but for the cultivator. The chapter demonstrates and reaffirms that Africa women farmers respond appropriately to incentives and suggests that there is need for a customized, renewed, and sustained emphasis on women farmers’ empowerment and inclusion in all levels in the agricultural sector in order to actualize increased yields. Investing in women farmers and implementing policies that narrow existing gender disparities in African agricultural production systems is holistically beneficial.

This study aims to identify the influence exerted by the performance of human resources (HR) through effectiveness and efficiency in the success of business projects in Mexico.

The methodological design was quantitative, explanatory, observational and transversal, where a sample of 502 was used. A structural equation model (SEM) was developed using the statistical software AMOS v25 to test the hypothesis. SPSS v25 was used for data analysis. Regarding the goodness and fit indices of the SEM, χ² = 388.83/df = 143; χ²/df = 2.71; p < 0.001; GFI = 0.92; AGFI = 0.91; CFI = 0.96; TLI = 0.95; NFI = 0.94; IFI = 0.96; RMSEA = 0.05; RMR = 0.04; SRMR = 0.03, which turned out to be acceptable.

Through the results obtained through the SEM, it is shown that there is a positive and significant relationship between the performance of HR through their effectiveness (r = 0.65, p < 0.01) and efficiency (r = 0.64, p < 0.01) with respect to the success of the business projects. Likewise, the effectiveness of HR has a positive and significant influence on the efficiency (ß₂ = 0.46; p < 0.001) and the success of business projects (ß₃ = 0.89; p < 0.001) in Mexico. In the same way, efficiency positively and significantly influences the success of enterprises (ß₄ = 0.35; p < 0.001) in Mexico.

In this research, only the performance of the HR was assessed through efficiency and effectiveness as one of the variables that intervene in the development of the business project, and that is one of the main factors of analysis to achieve the success of the enterprise. In this sense, the results are limited to the extent that the findings can be generalized to business projects that are developed in different entities such as universities, incubators and other instances that promote the development of business projects and thereby guarantee success. In this sense, it is considered to carry out more research regarding these variables and others that can study the phenomenon and generate new scientific research.

HR performance is considered as one of the main factors that allow the success of business projects. However, some practical limitations are determined by the vision, strategies, as well as the orientation that entities such as universities, and incubators, among other organizations, determine to develop the business project and thus guarantee its success. Other practical implications lie in the leadership that the entrepreneur exercises in his/her work team and collaborators to generate synergy between them considering culture and identity, as well as the commitment to the business project.

The findings are relevant and of great value because they support entrepreneurship models, giving an alternative focus in the study to achieve success, specifically in the state of Guanajuato, which represents one of the main states that have with a greater number of ventures focused on the automotive, food, leather and footwear cluster, among other SMEs that promote business projects and is one of the main states of the Mexican Republic that contributes to the economic development of the region as well as the nation. Likewise, the study is relevant because there is currently not enough research focused on the variables analyzed on the success of business projects in the Mexican context.

Creating visibility in the supply chain (SC) helps in making it resilient. Integrating the SC with Industry 4.0 key enabling technologies creates visibility and sustainability in SCs. It also fosters intelligent decision-making, thereby making a SC smart. However, how Industry 4.0 technologies affect key performance indicators (KPIs) of a resilient SC and may help achieve sustainability is rarely studied.

Sixteen KPIs were identified from the literature review and analyzed using fuzzy analytic hierarchy process (FAHP) using expert opinions. Further, a sensitivity analysis was conducted for the KPIs by varying the weightage of the criteria. Later, KPIs results were analyzed, and (1) how and which Industry 4.0 technology helps improve the KPI? (2) Resilience relationship with sustainability? were discussed.

The analyses show that the time-oriented (TO) is an essential criterion and organizational (OR) is the less important comparatively. Lead time, time to market and risk assessment frequency are the top KPIs that need a focus. Blockchain, Big Data and Cyber-physical systems enhance KPI's value and, in turn, foster economic, environmental and social sustainability of the SC and help in better decision making in terms of smart contracts, better forecasting and enhanced real-time information sharing.

Identification of the KPIs, the impact of Industry 4.0 technologies and the impact on sustainability; this kind of interplay is rarely evident in the literature. Understanding the findings of this research will help managers develop smart systems that may work intelligently to overcome risks associated and enhance sustainability. Academicians can use the findings and conduct future research that can overcome the limitations of this research.

This paper aims to apply a multidimensional approach to assessing the financial well-being of European countries.

Financial well-being is a very complex phenomenon to measure because it is composed of different dimensions. Therefore, this paper uses a multidimensional and fuzzy methodology to assess financial well-being in Europe. The financial well-being fuzzy indicator was calculated using European Quality of Life Survey data.

Financial well-being is heterogeneous across European countries. This evidence is confirmed both at the level of overall financial well-being and at the level of sub-indices. The degree of financial well-being is not directly related to wealth as traditionally measured (i.e. GDP), but shows some correspondence with socio-economic characteristics of the population and with governance and cultural elements of a country.

Understanding financial well-being could help financial institutions to transition from a one-size-fits-all approach to a more tailored approach when they provide financial services and could help policy makers to consider financial well-being when they decide how and where to allocate public spending.

To the best of authors’ knowledge, this study is the first to employ a fuzzy methodology for the analysis of financial well-being in Europe.