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We study ceremonial adoption of voluntary standards, where participants adopt the standard in principle but do not change their practices. Ceremonial adoption can benefit individual participants, who may be able to reap the benefits of association with the standard at lower cost, but it can be problematic for overall levels of adoption. We conceive of ceremonial adoption as an interaction between strategic incentives of participants and social ties to their audiences, such that not all participants are likely to ceremonially adopt. Our setting is the Leadership in Energy and Environmental Design (LEED) certification for sustainable construction. We study the conditions under which projects register for LEED certification, allowing them to claim affiliation with LEED, but then do not actually finish certification. While our data are correlational in nature, our results suggest that studying the competition for audience members (in our case, occupants) can provide greater understanding of certification behavior as well as overall levels of adoption. Our findings have implications for organizations that design and maintain voluntary standards and for organization theorists who wish to understand field-level change. Thus, we provide more evidence that strategy and organizational theory interact in important and often unexamined ways.

In this chapter, we aim to analyze the housing market development in Czechia, in particular the development of housing prices over the last 25 years. We quantify and discuss three distinct periods of excessive growth of regional Czech housing prices, identified through the formation of large positive GAPs – (1) before the entrance of Czechia to the European Union (EU), (2) at the onset of the Global Financial Crisis GFC, (3) in 2021. In all these periods, we identify significant differences among regions. We find that GAPs above 15% may be considered an indication of unsustainable long-term housing price growth that will be followed by a correction.

We then employ fixed effect panel data model to determine the drivers of flat and house prices in 14 Czech regions. Our results show that wage growth, migration and crime rate are significant factors affecting the prices of both flats and houses. Nevertheless, the impact of GDP per capita and job market indicators differs between flats and houses. Moreover, we find that higher migration into the region increases the difference between the prices of houses and flats, while increasing GDP per capita growth and crime rate mitigate this difference significantly.