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The literature on precarious and insecure work rarely examines how workers with jobs in large bureaucratic firms experience insecurity. Current theories suggest two approaches. First, workers might focus on their individual occupation and detach their commitment from firms that no longer reciprocate long-term commitments. Second, employees might respond with increased organizational commitment because leaving an employer creates risks of uncertainty. Based on in-depth interviews with 22 financial services professionals, this paper refines our understanding of when workers focus on intra-organizational career development. This happens when large firms offer opportunities for advancement and foster loyalty. I develop the terms spiral staircase and serial monogamy career. A spiral staircase career results when workers take entrepreneurial approaches to advancement that include lateral job changes and vertical promotions within a firm. When the local labor market has multiple firms in their sector, career advancement may take an intermediate form, in which workers spend medium-to-long-term stints with multiple organizations. I call this the serial monogamy career. My research shows how sector characteristics and geography can impact worker commitment and mobility in insecure environments.

Purpose: Significant structural changes are currently occurring in the Indian labour sector. Artificial intelligence (AI) and other emerging technologies are redefining the activities and skill requirements for various jobs in the healthcare sector. These adjustments have been accelerated by the economic crisis brought on by COVID-19, along with other considerations.

Need for the Study: Skills shortages, job transitions, and the deployment of AI at the company level are the three main challenges confronting the Indian labour market. This chapter aims to discuss policy alternatives to address a rising need for health workers and provide an overview of changes to the healthcare sector’s labour market.

Methodology: A review of the available literature was conducted to determine the causes of the widening skill gap despite a vibrant and prodigious young population. The background of the sustainable labour market is examined in this chapter, with a focus on workforce migration and mobility.

Findings: This chapter gives a comparative review of recent policy papers and evidence, as well as estimates of the health workforce and present Indian datasets. Furthermore, it highlights how important it is for all people concerned to invest in today’s workforce to close the skill gap and create better future opportunities.

Practical Implications: This chapter’s findings imply a severe shortage of human intellectual capital in India and a need to bridge this gap in the Indian labour market.

Family involvement is traditionally conceptualized as the role parents assume in formal early childhood education (ECE) settings, such as preschool. However, family involvement in early learning is not limited to formal, school-like experiences. For many children, much of their early learning occurs with parents, family members, and other informal caregivers within the home and during outings into their local communities. Therefore, finding innovative ways for communities to engage families in their young children’s early learning process is very important. Public libraries are well-established community resources that are recognized by families as reliable institutions with trustworthy information. This chapter suggests that public libraries hold great potential to provide early education experiences that naturally encourage family involvement in early learning. First, we review how public libraries are well positioned to support family involvement in children’s early learning. We also highlight recent library-based efforts to reach families with research-informed learning experiences that support children’s school readiness. A case study of one public library’s partnership with university researchers to deliver library-based interactive parent-child programming is presented. Finally, we address national efforts to include public libraries within statewide early childhood comprehensive systems and important considerations for building upon the potential of public libraries to support families with young children.

The role of parental involvement in their child’s education and academic success has been widely acknowledged in recent educational theories, policies, and practices. Parental beliefs and expectations concerning their child’s learning and success have been shown to be reflected in the parents’ involvement in their child’s education and their practices with their offspring, thereby shaping the child’s motivational development in school. In addition, parental trust in their child’s teacher is a key factor in enhancing the home–school partnership and in supporting a child’s academic motivation and successful schooling. However, political, economical, and technological changes in society and uncertainty about the future may present several challenges for raising children in the twenty-first century. The aim of this chapter is to present recent theories and empirical research focusing on the role of parental beliefs, expectations, and trust in their child’s teacher in supporting children’s interest in learning, self-concept of ability, and achievement behaviors in the challenging and unpredictable future. We will also reflect on how the changing world and uncertainty in society may influence parental beliefs and expectations in their child’s success.

Reasonable compensation is a highly scrutinized area of taxation by the Internal Revenue Service because of the tax impact on both corporations and employees. The guidance provided via statutory and administrative authority does not fully address this issue. Specifically, there is a lack of clarity and consistency in this arena of tax. Our study examines reasonable compensation in closely held corporations and the impact of gender, political affiliation, and family makeup on decisions made in the US Tax Court. The time frame of judicial decisions covers 1983 through 2014. We use regression models and chi-square tests to analyze the effect of gender, political affiliation, and family composition on US Tax Court decisions in reasonable compensation cases. We find that the judge’s gender and tenure/experience are significant. Our results also suggest a relationship between the duration of the case and the judge’s decision. Our significant variables include judge’s gender, number of tax years covered by the case, taxpayer’s gender, and tenure/experience of the judge.

The purpose of this chapter is to optimize multi-criteria formulation for green vehicle routing problems by mixed integer programming. This research is about the road freight transportation of a Spanish company of groceries. This company has more power in the north of Spain and hence it was founded there. The data used for the computational experiments are focused in the northern region of Spain. The data have been used to decide the best route in order to obtain a minimization of costs for the company. The problem focused on the distance traveled and the altitude difference; by studying these parameters, the best solution of route transportation has been made. The software used to solve this model is CPLEX solver with AMPL programming language. This has been helpful to obtain the results for the research and some conclusions have been obtained from them.

The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.