In medium- and large-sized cities, such as cincinnati, indianapolis, chicago, and new york, many residents have been getting rid of their cars. keeping a car in a city can be very expensive and quite a hassle due to a lack of parking and strong parking regulations that lead to expensive tickets for even minor parking infringements. residents have learned that they can join services, such as zipcar, that allow them to "borrow" cars from a fleet when they need them. they pay a monthly fee for the service, and they use an online application to "reserve" a car for when they need it. all of the hassle is gone; the car is ready for them when they need it; and parking is always guaranteed. zipcar and other companies like it are examples of

Last week paul, ceo of quality furniture in south carolina, traveled to europe to visit customers. while overseas, paul checked his e-mail daily and showed his company's website to customers, explaining how the website will them place orders and receive merchandise more quickly. after visiting the last customer friday morning, paul was able to return to the corporate office in south carolina to meet with his board of directors that night. is the "shrinking" of time and space with air travel and electronic media.

Acompany that makes shopping carts for supermarkets and other stores recently purchased some new equipment that reduces the labor content of the jobs needed to produce the shopping carts. prior to buying the new equipment, the company used 6 workers, who produced an average of 79 carts per hour. workers receive $16 per hour, and machine coast was $49 per hour. with the new equipment, it was possible to transfer one of the workers to another department, and equipment cost increased by $11 per hour while output increased by four carts per hour. a) compute the multifactor productivity (mfp) (labor plus equipment) under the prior to buying the new equipment. the mfp (carts/$) = (round to 4 decimal places). b) compute the productivity changes between the prior to and after buying the new equipment. the productivity growth = % (round to 2 decimal places)

You are a manager at asda. you have been given the demand data for the past 10 weeks for swim rings for children. you decide to run multiple types of forecasting methods on the data to see which gives you the best forecast. if you were to use exponential smoothing with alpha =.8, what would be your forecast for week 22? (the forecast for week 21 was 1277.) week demand 12 1317 13 1307 14 1261 15 1258 16 1267 17 1256 18 1268 19 1277 20 1277 21 1297