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Global recession is a serious issue to both the developed and developing economies. Reports published by the Ministry of Statistics and Programme Implementation (2019–20) have revealed that the growth of gross domestic products (GDPs) has shrunk significantly in the last few quarters. Due to such recession productions by many, manufacturing industries have reduced significantly, and a large number of people have lost their work, and scope of new job creations has also decreased. Food sector has also been affected by global recession (Agbedeyi & Adigwe, 2018). Food Processing Industry (FPI) is India's one of the most sunshine manufacturing industries and ranks fifth among the Indian industries in terms of production, consumption, and exports. The country ranks second in global ranking in terms of producing food products next to China. Despite the global recession, the FPIs helped the Indian economy to maintain the growth of the GDP and have created new job opportunities. Around 70 lakh persons are employed in both registered and unregistered food processing units in India. The value of food exported in the year 2018–19 was US $35.30 billion which was 10.69% of India's total export (i.e. US$330.67 billion) (MoFPI report, 2018–19). In this backdrop, the present chapter will try to find out the role of FPI in the Indian economy and will also highlight the prospects of this industry in the coming years.

The present chapter examined the behavior of relative wage rate, productivity of labor, and total factor productivity growth (TFPG) and also attempted to explore the causal relationship between relative wage rate and productivity of labor as well as relative wage rate and TFPG in food and beverage industry in India over the period 1980–1981 to 2017–2018. The result of Sen (2003) approach of endogenous structural break suggests that the series of relative wage rate, productivity of labor, and TFPG follows trend stationary process. A significant break is found for all the three aforementioned variables, being 1984–1985 for relative wage rate and productivity of labor whereas 2007–2008 for TFPG. For the three variables, growth rate has increased after the break. Bidirectional causality between relative wage rate and productivity of labor as well as relative wage rate and TFPG is evident.

Workplace temporalities are being reshaped under globalization. Some scholars argue that work time is becoming more flexible, de-territorializing, and even disappearing. I provide an alternative picture of what is happening to work time by focusing on the customer service call center industry in India. Through case studies of three firms, and interviews with 80 employees, managers, and officials, I show how this industry involves a “reversal” of work time in which organizations and their employees shift their schedules entirely to the night. Rather than liberation from time, workers experience a hyper-management, rigidification, and re-territorialization of temporalities. This temporal order pervades both the physical and virtual tasks of the job, and has consequences for workers’ health, families, future careers, and the wider community of New Delhi. I argue that this trend is prompted by capital mobility within the information economy, expansion of the service sector, and global inequalities of time, and is reflective of an emerging stratification of employment temporalities across lines of the Global North and South.

Research on international experience notes its positive influence on subsequent international expansion by firms. We test this relationship in the context of the Indian software industry whose offerings, unlike many other services, are storable implying that delivery can be separated from production.

We analyzed the domestic expansion of a sample of publicly listed Indian software firms over the period 2000–2009 with help of Poisson regression.

We find that even internationally experienced Indian software firms might prefer to expand domestically because of limited financial and managerial resources and concerns about diluting their cost advantage. The storable and separable nature of software services will support this strategy of serving clients remotely. The domestic expansion of assets will, however, be slower for firms with the highest level of industry accreditation. It will also be slower if there are institutional pressures in the form of rivals locating development centers near clients in developed countries.

Our results demonstrate that international experience alone is not sufficient for firms to expand overseas.

The role of social networks is central to the phenomenon of employment and ownership in ethnic businesses, ethnic enclaves, and more generally ethnic economies. Social capital within migrant or co-ethnic social networks is generally viewed as an aid to niche employment, in other words as processes of network inclusion. This article examines both processes of inclusion and exclusion in the social networks of Asian Indian migrants in and outside of ethnic economies. Evidence from the life histories of these migrants in New York and London allows us to see the role of social networks in producing cooperation and conflict within modes of economic inclusion and exclusion.

Pharmaceutical industry is one of the sunrise industries in the Indian manufacturing sector. It has flourished in the recent past. This chapter makes a comparative analysis of the productivity growth of Indian pharmaceutical industry using production function approach and adopting two distinct measures of labour input and also explains whether the growth and productivity is eco-friendly or not. Annual Survey of Industries (ASI) data is considered as data base and the time period 1980–1981 to 2016–2017 is considered which is sub-divided into four periods (1980–1981 to 1989–1990; 1990–1991 to 1999–2000; 2000–2001 to 2009–2010; and rest of the period). The pattern of result for both the measures are more or less in the same direction. A remarkable growth in total factor productivity (TFP) is observed after the initiation of new economic policy for both the method used. So far as the environmental issues are concerned, this industry seems to have been polluting the environment, as per unit use of energy is increasing over time.

Background: Insurance was discovered many centuries before Christ (BC). In the second and third millennia BC, Chinese and Babylonian traders traded risks. Insurance is now the backbone of the economy, but penetration is low in developing countries. Big data, internet of things (IoT), and InsurTech have recently ushered in the fourth industrial revolution in insurance.

Objective: This study examines the Indian challenges and solutions of using Big Data Analytics (BDA).

methodology: A SLR was used to extract themes/variables related to challenges and solutions in adopting BDA in the Indian insurance sector. Google Scholar was searched for relevant literature using keywords. Inclusion and exclusion criteria were used to filter the studies.

Findings: This study identified several barriers to BDA adoption in the Indian insurance industry. Policymakers could use the suggestions to improve insurance service delivery.

Practical implication: Insurers can understand the challenges, and accordingly, they can adopt the proposed solution in this study to enhance the insurance penetration in India.