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NMIMS Solved Assignment – Micro & Macro Economics (MBA Sem 1) 2025

NMIMS Solved Assignment – Micro & Macro Economics (MBA Sem 1) 2025

NMIMS Solved Assignment – Micro & Macro Economics (MBA Semester 1) | Dec 2025

Looking for NMIMS solved assignments for Micro and Macro Economics (MBA Semester 1)? You’re in the right place. Below are the latest Dec 2025 NMIMS assignment questions with an option to order customized plagiarism-free answers or ready-made solutions. We’ve been helping NMIMS students for over 13+ years with academic writing support.

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About NMIMS Micro & Macro Economics Assignment

The Micro and Macro Economics subject helps MBA students understand how markets, consumer behavior, inflation, and fiscal policies affect business decisions. The Dec 2025 assignment is application-based and tests your ability to connect theory with real-world scenarios.

We offer both custom-written plagiarism-free assignments and ready-made solutions prepared by experts familiar with NMIMS guidelines.

Assignment Details

  • Course: Micro & Macro Economics
  • Program: MBA Semester 1
  • Applicable For: December 2025 Examination
  • Marks: 20
  • University: NMIMS (NCDOE)

NMIMS Micro & Macro Economics – Assignment Questions (Dec 2025)

Q1. (10 Marks)

A popular coffee brand, BrewBuzz, has introduced a loyalty program offering every 6th coffee free. At the same time, a new health study revealed that moderate coffee consumption boosts productivity and reduces stress. These developments have attracted new customers and encouraged existing ones to buy more coffee. Based on the above scenario, apply your understanding to identify whether this scenario reflects a movement along the demand curve or a shift of the demand curve. Discuss the direction of the shift and how this change could influence BrewBuzz’s sales volumes and potential pricing strategy. 

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Q2 (A). (5 Marks)

A premium coffee chain, “Bean Bliss,” recently increased the price of its signature latte by 20% due to rising operational costs. Following this, the chain observed varied changes in sales across different outlets. In metropolitan cities, the sales remained almost unchanged, while in smaller towns, there was a significant drop in demand. Interestingly, customers who were highly brand loyal continued purchasing despite the price hike, whereas price-sensitive customers shifted to local coffee shops. Analyze the above scenario and identify how different determinants of elasticity of demand—such as availability of substitutes, level of income, brand loyalty, time frame, share in total expenditure, competitive nature of the industry, and preferences/habits—are influencing the elasticity of demand for “Bean Bliss” in different markets. Provide a detailed explanation linking each determinant to the observed customer behavior.

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Q2 (B). (5 Marks)

A consumer electronics company, TechNova, is preparing to launch a next-generation smart home device. With no reliable historical data available, the management is considering using a structured approach to gather forecasts from industry experts, researchers, and experienced marketers. The process involves several rounds of anonymous feedback, with each round refining the estimates until a consensus is reached. Evaluate the above demand forecasting method being used in the given scenario, and the technique in detail. You are required to justify whether this method is the most appropriate choice for TechNova, providing well-reasoned arguments supported by the nature of the product, market uncertainty, and the decision-making needs of the company. 

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Conclusion

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