No abstract

No abstract

No abstract

Some customers might have negative behavior that harms a company's benefit. In this study, we emphasize on incorporating negative behavior incurred by these customers into the calculation of customer lifetime value (CLV) when doing business with them. Data from a railway e-booking system was adopted for a case study. The invisible cost of cancellation was incorporated along with the revenue of ticket selling into the calculation of CLV. From the results, we conclude that our model has a good estimation about the customers' real values and can cherry-pick out customers with higher values than the traditional CLV models. By cherry-picking customers, lower cancellation rate and higher customer satisfaction are expected.

No abstract

How to develop a better patient safety culture has been an important goal for healthcare organizations, but the effects of safety culture on psychosocial factors, such as emotional exhaustion and stress, have not been fully addressed. This study aimed to reconfigure important dimensions affecting safety culture and examine the associations between safety culture and psychosocial factors (emotional exhaustion and work-life balance). The partial least squaring technique was used to analyze the data, showing that job satisfaction (β = 0.320, P < 0.001), working conditions (β = 0.307, P < 0.001), and perception of management (β = 0.282, P < 0.001) positively affected the safety climate. The safety climate and work-life balance could reduce the occurrence of emotional exhaustion, whereas a high-stress environment would cause a higher level of emotional exhaustion. Given these findings, hospitals should endeavor to help employees feel safe and not threatened, reduce stress, and advise them to maintain a good work-life balance.

Crossdocks play an important role in supply chain operations. Due to the need to decrease transportation lead time to coordinate with other supply chain activities such as just-in-time, make-to-order, or merge-in-transit strategies, shortening the total transfer time at crossdocks is increasingly important. In this research, we use real-time information about freight transferring within a crossdock to schedule waiting inbound trailers in order to reduce the time freight spends in a crossdock. We use dynamic simulation models to compare the performance of several strategies. These are first-come, first-served, look-ahead, minimum processing time, and minimum total time policies. We examine these under different trailer arrival headways, crossdock layouts, and destination distributions. Our simulation results show that our time-based algorithms save more time than the first-come, first-served and look-ahead policies. In addition, these algorithms appear to result in higher service reliability and productivity.

No abstract