Who is responsible for making wake-up calls? A. housekeeping staff
B. reservations agents
C. room service staff
D. telephone operators
E. front office manager

Who is better at multi-tasking? in business, employees are often asked to perform a complex task when their atten-tion is divided (i. e., multi-tasking). human factors (may 2014) published a study designed to determine whether video game players are better than non–video game play-ers at multi-tasking. each in a sample of 60 college stu-dents was classified as a video game player or a non-player. participants entered a street crossing simulator and were asked to cross a busy street at an unsigned intersec-tion. the simulator was designed to have cars traveling at various high rates of speed in both directions. during the crossing, the students also performed a memory task as a distraction. two variables were measured for each student: (1) a street crossing performance score (measured out of 100 points) and (2) a memory task score (measured out of 20 points). the researchers found no differences in either the street crossing performance or memory task score of video game players and non-gamers. “these results,” say the researchers, “suggest that action video game players [and non-gamers] are equally susceptible to the costs of dividing attention in a complex task”

About 20 years ago, sturdy light, inc., produced a sturdy, lightweight backpack in a market that was rapidly growing. sturdy light became a leader in this market. eventually, the backpack market reached the maturity stage and slowed down. however, by this time, sturdy light had developed a strong brand name and continued to steadily lead the market. which of the following describes this scenario? a. sturdy light was a star that developed into a cash cow. b. sturdy light was a question mark that developed into a star. c. sturdy light was a dog that developed into a question mark. d. sturdy light was a cash cow that developed into a star.

Amanager of a store that sells and installs spas wants to prepare a forecast for january and june of next year. her forecasts are a combination of trend and seasonality. she uses the following equation to estimate the trend component of monthly demand: ft = 30+5t, where t = 1 in january of this year. seasonal relatives are 0.60 for january and 1.50 for june. what demands should she predict for january and june of next year