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Emerging Market Multinationals (EMNCs) are often seen as firms with singular identity. While they may share certain characteristics, EMNCs are seldom orchestrated and managed in the same manner. Through a cluster analysis of outward foreign direct investment data of EMNCs from India, we propose taxonomy of EMNCs based on their mode of operation, industry in which they operate, region where they invest and the amount invested. We use a dataset spread over 2007–2013, constituting investment data of 4,824 Indian firms into 7,238 foreign entities. Based on a two-step clustering approach, we propose three strategic archetypes of EMNCs: Global Service Providers, Integrated Manufacturers, and Established Internationalizers. The Global Service Providers mainly consists of firms operating in developed markets with an intention to serve their client needs through wholly owned subsidiaries. Integrated Manufacturers are firms that are primarily operating in other developing markets to sell their products through joint ventures and also present in developed markets through wholly owned subsidiaries – to acquire technology and other resources. The Established Internationalizers are large EMNCs with highest levels of investments, and relatively similar to the Western multinationals. We analyze the characteristics of these three groups of EMNCs based on their strategy and investment behavior, to derive insights into the heterogeneity across EMNCs. We discuss our findings and lay out future directions for research in the area.

The contribution of the Indian Automobile industry in the economic growth of the country is significantly high. Besides catering to a large domestic market, the automobile industry in India has also captured market shares in many foreign countries successfully in the last few decades. Not only is it an important export-oriented industry of the nation but also the fourth largest exporter of automobiles in Asia. However, in the recent years (2018–2019), it has faced an unprecedented slump. This chapter captures this fact by calculating the growth of car selling for the four quarters of the period 2018–2019 across the Indian states. It primarily tries to find out whether the variation in income and tax levied on petrol and diesel has an impact on the variation in the car selling across the states for the abovementioned time period. It has been proven from our study that higher income of a state has a positive impact, whereas higher tax on petrol and diesel which varies across the states has a negative impact on car selling. Apart from this, this study then distinctively tries to find out whether there exists any neighborhood impact on growth rate of car selling and different tax rate on petrol and diesel on the basis of Moran's Index. It is witnessed that there exists a high level of spatial autocorrelation among the different states in case of growth of a car selling and tax imposition on diesel as well as on petrol. This fact necessitates some degree of regional orientation in formulating an effective policy to revive the automobile industry on the part of the Government.