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Managerial Turnover: A Problem? Health Care LaunderCare (HCLC) is a company that specializes in picking up. cleaning, and delivering laundry for health care providers, especially hospitals, nursing homes, and assisted care facilities. Basically, these health care providers have outsourced their total laundry operations to HCLC. In this very competitive business, a typical contract between HCLC and a health care provider is only two years, and HCLC experiences a contract nonrenewal rate of 10%. Most nonrenew. als occur because of dissatisfaction with service costs and especially quality (e.g. surgical garb that is not completely sterilized) HCLC has 20 laundry facilities throughout the country, mostly in large met: ropolitan areas. Each laundry facility is headed by a site manager, and there are unit supervisors for the intake, washing, drying, inspection and repair and delivery areas. An average of 100 nonexempt employees are employed at each site. The operation of the facilities is technologically sophisticated and very health- and safety-sensitive. In the intake area, for example, employees wear protective clothing, gloves, and eyewear because of all the blood, tissue, and germs on laun- dry that comes in. The washing area is composed of huge washers in 35-foot stain- less steel tunnels with screws that move the laundry through various wash cycles. Workers in this area are exposed to high temperatures and must be proficient in the operation of the computer control systems. Laundry is lifted out of the tun- nels by robots and moved to the drying room area, where it is dried, ironed, and folded by machines tended by employees. In the inspection and repair area, qual- ity inspection and assurance occurs. Laundry is inspected for germs and pinholes (pinholes in surgical garb could allow blood and fluids to come into contact with the surgeon), and employees complete repairs on torn clothing and sheets. In the delivery area, the laundry is hermetically sealed in packages and placed in delivery vans for transport. HCLC’s vice president of operations, Tyrone Williams, manages the sites-and site and unit managers-with an iron fist. Williams monitors each site with weekly reports on a set of cost, quality, and safety indicators for each of the five areas. When he spots what he thinks are problems or undesirable trends, he has a confer- ence call with both the site manager and the unit supervisor. In the decidedly one- way conversation, marching orders are delivered and are expected to be fulfilled. If a turnaround in the “numbers” does not show up in the next weekly report, Wil- liams gives the manager and the supervisor one more week to improve. If sufficient improvement is not forthcoming, various punitive actions are taken, including base pay cuts, demotions, reassignments, and terminations. Williams feels such quick and harsh justice is necessary to keep HCLC competitive and to continually drive home to all employees the importance of working “by the numbers.” Fed up with this management system, many managers have opted to say “Bye-bye, numbers!” and leave HCLC Recently, the issue of site and unit manager retention came up on the radar screen of HCLC’s president, Roman Dublinski. Dublinski glanced at a payroll report showing that 30 of 120 site and unit managers had left HCLC in the past year, though no reasons for leaving were given. In addition, Dublinski received cop- ies of a few angry resignation letters written to Williams. Having never confronted or thought about possible employee retention problems or how to deal with them, Dublinski calls to ask you (the corporate manager of staffing) to prepare a brief written analysis that will then be used as the basis for a meeting between the two of you and the vice president of HR, Debra Angle (Angle recommended this). Address the following questions in your report: 1. Is the loss of 30 managers out of 120 in one year cause for concern? 2. What additional data should be gathered to learn more about managerial 3. What are the costs of this turnover? Might there be any benefits? 4. Are there any lurking legal problems? 5. If retention is a serious problem for HCLC, what are the main ways we might turnover? address it?

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Leibling, P.C. v. Mellon PSFS (NJ) National Association

FACTS Mr. Scott D. Leibling, P.C. (hereinafter Plaintiff) is an attorney at law. Plaintiff maintains an attorney trust account (Account) at Mellon Bank (NJ) National Association (Mellon). Mellon uses a computerized system to process checks for payment.
Plaintiff represented the defendant, Fredy Winda Ramos (Ramos) in a personal injury action which resulted in a settlement. On May 19, 1995, plaintiff issued Check No. 1031 in the amount of $8,483.06 to Ramos, representing her net proceeds from the settlement. Mellon honored that check on May 26, 1995. On May 24, 1995, plaintiff mistakenly issued another check, Check No. 1043, to Ramos in the same amount of $8,483.06. Realizing his error, Plaintiff called Ramos in Puerto Rico and advised her that Check No. 1043 had been issued by mistake and instructed her to destroy the check. Plaintiff then called Mellon and ordered an oral stop payment on the check.
On December 21, 1996, some nineteen months after plaintiff issued Check No. 1043, Ramos cashed the check in Puerto Rico. Plaintiff filed this complaint against both Ramos and Mellon. Ramos defaulted. Plaintiff’s complaint against Mellon alleges breach of duty of good faith, negligence, breach of fiduciary duty, payment of a stale check, and breach of contract as a result of Mellon’s honoring the second check.

DECISION Judgment for Mellon: the bank’s conduct was fair and in accordance with reasonable commercial standards.

OPINION The issue turns on whether Mellon acted in good faith when it honored plaintiff’s check. It appears clear that the Uniform Commercial Code acknowledges that computerized check-processing systems are common and accepted banking procedures in the United States. Therefore, it cannot be said that defendant bank acted in bad faith by using a computerized system when it honored plaintiffs “stale” check. Thus, as long as the defendant bank used an adequate computer system for processing checks, it appears to have acted in good faith even though it did not consult the Plaintiff before it honored the “stale” check that had an expired oral stop payment order on it. The obligation of a bank to stop payment on a check does not continue in perpetuity once the stop payment order expires.

INTERPRETATION It is the responsibility of the banking customer either to regain possession of the mistakenly issued check or to renew the stop payment order in writing every six months for as long as the risk of payment exists.

Do you think that banks should be required to offer a permanent stop payment option? Explain.

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A bakery makes both

cakes and cookies. Each batch of cakes requires two

hours in the oven and three hours in the decorating

room. Each batch of cookies needs one and a half

hours in the oven and two-thirds of an hour in the

decorating room. The oven is available no more than

15 hours a day, while the decorating room can be used

no more than 13 hours a day. How many batches of

cakes and cookies should the bakery make in order to

maximize profits if cookies produce a profit of $20 per

batch and cakes produce a profit of $30 per batch?

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Social Well-Being and Obesity The Gallup Organization conducted a survey in 2014 asking individuals questions pertaining to social well-being such as strength of relationship with spouse, partner, or closest friend, making time for trips or vacations, and having someone who encourages them to be healthy. Social well-being scores were determined based on answers to these questions and used to categorize individuals as thriving, struggling, or suffering in their social wellbeing. In addition, body mass index (BMI) was determined based on height and weight of the individual. This allowed for classification as obese, overweight, normal weight, or underweight. The data in the following contingency table are based on the results of this survey.

(a) Researchers wanted to determine whether the sample data suggest there is an association between weight classification and social well-being. Explain why this data should be analyzed using a chi-square test for independence.

(b) Do the sample data suggest that weight classification and social well-being are related?

(c) Draw a conditional bar graph of the data by weight classification.

(d) Write some general conclusions based on the results from parts (b) and (c).

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