Generational differences: An examination of work values and generational gaps in the hospitality workforce

The purpose of this study is to identify generational differences and similarities among hospitality employees and managers in order to develop leadership strategies and management styles that can be utilized to increase employee morale and productivity while enhancing recruitment and retention rates of highly qualified workers. Data for this study were collected through a series of in-depth focus group discussions. Findings indicated significant generational differences in world views, attitudes toward authority and perspectives on work. Findings suggested the Baby Boomers respect authority and hierarchy, while the Generation X-ers (Gen X-ers) rebel against authority. Findings also suggested while Baby Boomers live to work, Gen X-ers work to live. The Baby Boomers are willing to wait their turn for promotions and rewards, and are very loyal. On the other hand, Gen X-ers expect immediate recognition through title, praise, promotion, and pay. They also want a life outside of work—they are not likely to sacrifice theirs for the company. The Millennial Generation believes in collective action, with optimism of the future, and trust in centralized authority. They like teamwork, showing a strong will to get things done with a great spirit.     

Time series momentum

We document significant “time series momentum” in equity index, currency, commodity, and bond futures for each of the 58 liquid instruments we consider. We find persistence in returns for one to 12 months that partially reverses over longer horizons, consistent with sentiment theories of initial under-reaction and delayed over-reaction. A diversified portfolio of time series momentum strategies across all asset classes delivers substantial abnormal returns with little exposure to standard asset pricing factors and performs best during extreme markets. Examining the trading activities of speculators and hedgers, we find that speculators profit from time series momentum at the expense of hedgers.     

Competition versus cooperation: How technology-facilitated social interdependence initiates the self-improvement chain

Consumers are increasingly using technologies such as wearables or mobile apps to achieve their self-improvement goals. Such technologies often contain features that enable social interdependence (competition or cooperation) among users to support them in improving their engagement, performance, and well-being (life satisfaction and personal growth). However, the critical question remains: does competition or cooperation best serve users in attaining these self-improvement goals? Evidence from an online experiment and a field study reveals that competition is more effective in driving performance and personal growth, while cooperation is superior in terms of behavioral engagement and life satisfaction. Furthermore, the results indicate that the effects are mediated by strive for success and fear of failure, two counteracting psychological processes. While competition is the stronger trigger for both pathways, downstream effects vary depending on the self-improvement goal considered. This research thus provides insights into whether and how users can best realize their self-improvement goals using technologies that include social features.     

Separation of small and large claims on the basis of collective models

This paper is inspired by two papers of Riegel who proposed to consider the paid and incurred loss development of the individual claims and to use a filter in order to separate small and large claims and to construct loss development squares for the paid or incurred small or large claims and for the numbers of large claims. We show that such loss development squares can be constructed from collective models for the accident years. Moreover, under certain assumptions on these collective models, we show that a development pattern exists for each of these loss development squares, which implies that various methods of loss reserving can be used for prediction and that the chain ladder method is a natural method for the prediction of future numbers of large claims.     

A field experiment on intertemporal enforcement spillovers

Enforcement can affect compliance directly and indirectly, through spillovers. We study intertemporal enforcement spillovers by conducting a randomized field experiment in a university exam. The initial phase of the experiment is the exam itself. We induce variation in enforcement by randomly assigning students to rooms with different monitoring levels. The second phase is post-exam. In this phase, all students are subject to the same low level of monitoring. Our outcome variable is the probability that students steal a pen in the post-exam phase. We find that enforcement in the exam phase has a strong intertemporal spillover on compliance in the post-exam phase: students subject to a high monitoring level in the initial phase are about 33% less likely to steal the pen than students subject to low initial monitoring.