Downsizing and Stakeholder Orientation Among the Fortune 500: Does Family Ownership Matter?

While downsizing has been widely studied, its connection to firm ownership status and the reasons behind it are missing from extant research. We explore the relationship between downsizing and family ownership status among Fortune 500 firms. We␣propose that family firms downsize less than non-family firms, irrespective of performance, because their relationship with employees is based on normative commitments rather than financial performance alone. We suggest that their actions are related to employee- and community-friendly policies. We find that family businesses do downsize less irrespective of financial performance considerations. However, their actions are not related to their employee- or community-friendly practices. The results raise issues related to the motivations of large multinationals to␣downsize and the drivers of their stakeholder management practices. Eleni T. Stavrou is an Assistant Professor of Management and Organization at the Department of Public and Business Administration of the University of Cyprus. She received her Ph.D. in Management and Organization from George Washington University, USA. Her work has been published in various academic journals including Entrepreneurship Theory and Practice, Journal of Applied Social Psychology, Journal of Organizational Behavior, Journal of Small Business Management, International Small Business Journal and Journal of European Industrial Training. Her research interests are: flexibility at work, strategic human resource management, succession planning, group and family dynamics, intergenerational transitions, and organizational culture. George I. Kassinis is an Assistant Professor of Management at the Department of Public and Business Administration of the University of Cyprus. He received his Ph.D. from Princeton University, USA. His work has been published in various academic journals including the Academy of Management Journal, Production and Operations Management and Strategic Management Journal. His research focuses on stakeholders, organizations and the natural environment, environmental management issues in services, social networks, and industrial ecology. He serves on the editorial board of Organisation Studies. Alexis Filotheou holds an MSc in Finance from the University of Cyprus and is currently employed in the private sector in Cyprus.     

顾客在寻求一种身份象征

我们的工作就是希望将美、力量和财富结合在一起。对于高级定制而言,顾客像是购买一个艺术品,我们要保证产品的精益求精。所以有的时候顾客要等一周或一个月的时间。除了服务顾客,我们还会举办一些非常有意思的时装秀,鼓励设计师以更加高端地方式来进行设计。     

Skill-biased technological change and homeownership

In the United States, the residential housing market went through important changes over the period from the 1970s to the mid-1990s. Although the aggregate homeownership rate was relatively stable during that period, the distribution of homeownership rates by age changed in remarkable ways. While younger households saw substantial declines in homeownership rates, the opposite happened for older households. In this paper, we argue that the skill-biased technological change (SBTC) that began during the 1970s has been an important factor behind the observed change in the distribution of homeownership rates by age. We build a life cycle model in which skills are accumulated on-the-job through experience: learning by doing. Early in life, households have lower levels of skills and therefore lower earnings. SBTC increases the returns to skill, widening the wage gap between young and old ages. As a consequence, it takes more time for young households to become homeowners given frictions in financial markets (e.g. downpayment requirements) and housing markets (e.g. large and indivisible houses), in line with consumption smoothing behavior. On the other hand, older households that could not afford a house before may now become homeowners, given higher returns to skill. Our analysis confirms this conjecture, namely, that SBTC shifts the distribution of homeownership from the young to the old.     

The effect of social distancing on the reach of an epidemic in social networks

How does social distancing affect the reach of an epidemic in social networks? We present Monte Carlo simulation results of a susceptible–infected–removed with social distancing model. The key feature of the model is that individuals are limited in the number of acquaintances that they can interact with, thereby constraining disease transmission to an infectious subnetwork of the original social network. While increased social distancing typically reduces the spread of an infectious disease, the magnitude varies greatly depending on the topology of the network, indicating the need for policies that are network dependent. Our results also reveal the importance of coordinating policies at the ‘global’ level. In particular, the public health benefits from social distancing to a group (e.g. a country) may be completely undone if that group maintains connections with outside groups that are not following suit.

     

High-Frequency Trading,Liquidity Withdrawal,and the Breakdown of Conventions in Foreign Exchange Markets

Conventions, or “that the existing state of affairs will continue indefinitely, except in so far as we have specific reasons to expect a change” (Keynes 1936), play a central role in over-the-counter markets. For instance, by allowing expectations about the future to become more harmonized and orderly, they act as stabilizers for the provision of liquidity. Conventions might, of course, change at any time. Nonetheless, by being attached to the daily trading routine and/or integrated within the institutional structure, the confidence in their relevance and validity can be long-lasting. In the foreign exchange market, in particular, where prices are quoted to end-users on demand, market-making banks rely on a convention to quote prices to each other to maintain liquidity. However, the rise of algorithmic and high-frequency trading poses a practical as well as a theoretical challenge to such conventions. By reacting ultra-fast to new information, including to new limit orders submitted by others, markets largely populated with algorithmic traders have become susceptible to a withdrawal of liquidity at an unprecedented speed and scale. Using a high-frequency dataset provided by Electronic Broking Services (EBS), we investigate the process of liquidity withdrawal from the foreign exchange spot market. By doing so, we consider the crowding out of conventions associated with liquidity provision, traditionally upheld through mutual understanding among financial institutions – in other words, reciprocity and trust among humans.