Pple is known for its innovation. it conducts in-depth marketing research to determine what customers want. its electronic devices are constantly upgraded so customers can purchase the newest models. the company creates buzz around its product offerings by discussing the product months before it is launched. this anticipation builds up until the product is launched, resulting in wide-scale sales that often result in stores selling out of the newest product. refer to scenario 1.2. from the information provided about apple and its marketing strategies, apple most likely embraces a

4. suppose that pollution in a neighborhood comes from two factories, with marginal benefit curves given by mb1 = 12 – p1 and mb2 = 8 – p2. the level of pollution in the neighborhood is given by p = p1 + p2. the government wants to limit pollution by instituting a pollution-rights market. the government’s desired level of p is 10, so it prints 10 pollution rights and offers them for sale to the firms.a)find the equilibrium selling price of a pollution right, as well as the allocation of rights (and hence pollution levels) across the two factories. b)repeat part (a) for the case where the government’s desired level of pollution equals 14. c)comment on the usefulness of a pollution rights market in achieving efficient levels of pollution abatement.

Abbington company has a manufacturing facility in brooklyn that manufactures robotic equipment for the auto industry. for year 1, abbingtonabbington collected the following information from its main production line: actual quantity purchased-200 units, actual quantity used-110 units, units standard quantity-100 units, actual price paid-$8 per unit, standard price-$10 per unit. atlantic isolates price variances at the time of purchase. what is the materials price variance for year 1? 1. $400 favorable. 2. $400 unfavorable. 3. $220 favorable. 4. $220 unfavorable.

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?