Stanford Graduate School of Business (USA)
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Managing Local Political Risk: Parking the Tata Nano (A) - (C) - Teaching note
Jha, S, Schifrin, DTeaching Note SGSB-P78TN-EEconomicsManaging Local Political Risk: Parking the Tata Nano highlights the role of political geography in shaping risks to businesses. The case has three parts: an (A) case, (B) case, and (C) case. The (A) case is set in 2006 and discusses the decision Tata Motors must make about where in India to locate a manufacturing plant to build the Nano – the world’s cheapest car. The (A) case presents four possible locations, and the students must evaluate which...Starting at €0.00
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Managing Local Political Risk: Parking the Tata Nano (A)
Jha, S, Schifrin, DCase SGSB-P78A-EEconomicsManaging Local Political Risk: Parking the Tata Nano highlights the role of political geography in shaping risks to businesses. The case has three parts: an (A) case, (B) case, and (C) case. The (A) case is set in 2006 and discusses the decision Tata Motors must make about where in India to locate a manufacturing plant to build the Nano – the world’s cheapest car. The (A) case presents four possible locations, and the students must evaluate which...Starting at €8.20
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Managing Local Political Risk: Parking the Tata Nano (B)
Jha, S, Schifrin, DCase SGSB-P78B-EEconomicsManaging Local Political Risk: Parking the Tata Nano highlights the role of political geography in shaping risks to businesses. The case has three parts: an (A) case, (B) case, and (C) case. The (A) case is set in 2006 and discusses the decision Tata Motors must make about where in India to locate a manufacturing plant to build the Nano – the world’s cheapest car. The (A) case presents four possible locations, and the students must evaluate which...Starting at €5.74
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Managing Local Political Risk: Parking the Tata Nano (C)
Jha, S, Schifrin, DCase SGSB-P78C-EEconomicsManaging Local Political Risk: Parking the Tata Nano highlights the role of political geography in shaping risks to businesses. The case has three parts: an (A) case, (B) case, and (C) case. The (A) case is set in 2006 and discusses the decision Tata Motors must make about where in India to locate a manufacturing plant to build the Nano – the world’s cheapest car. The (A) case presents four possible locations, and the students must evaluate which...Starting at €5.74
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Willkommen to Europe: The Political Economy of Migration Policy in Germany
Scheve, K; , Gaikwad, NCase SGSB-P85-EEconomicsIn December 2015, Angela Merkel, Chancellor of Germany and the de facto leader of the EU, faced the challenge of formulating an effective policy response to Europe’s migration crisis. Merkel must decide whether Germany can continue to host large numbers of new refugees in 2016, keeping in mind that over a million had arrived in 2015. Merkel could continue Germany’s relatively open refugee policy, but would need to decide how many more refugees to...Starting at €8.20
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India: Liberalise in the Face of Crisis?
Scheve, K; , Gaikwad, NCase SGSB-P86-EEconomicsIn June 1991, India was in the midst of a currency and balance of payments crisis the likes the country had not seen since independence in 1947. The country’s foreign exchange reserves were barely enough to finance 13 days worth of imports. In the face of the crisis, India was forced to consider external help from the International Monetary Fund (IMF), which was accompanied by market-oriented conditionalities. The prospect of IMF support was a do...Starting at €8.20
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To Grexit or Not? Politic and Greece's Sovereign Debt
Scheve, K; , Gaikwad, N; , Weinreb, JCase SGSB-P88-EEconomicsIn November 2012, the Greek economy was on the precipice of collapse. Antonis Samaras, Greece’s newly elected Prime Minister, faced a difficult decision regarding the harsh terms of austerity proposed by the European Commission, European Central Bank, and the International Monetary Fund, in exchange for external support in the form of a financial bailout. If accepted, the bailout would prevent the country from defaulting on its sovereign debts, b...Starting at €8.20