An empirical investigation of consumers’ willingness-to-pay and the demand function: The cumulative effect of individual differences in anchored willingness-to-pay responses

Extant literature on anchoring demonstrates that priming affects willingness-to-pay (WTP), but it mainly focuses on average WTP values, neglecting the aggregate effects of priming on WTP distributions. In this research, we argue that when priming is in effect, WTP distribution rather than the average should be analyzed because important pricing decisions, such as optimal price determination or price customization, require an assessment of distributions. Therefore, the objective of this research is to uncover how priming affects WTP distributions and, consequently, the demand curve. The results of these two studies suggest that priming affects not only the average but also the whole distribution and that this effect is in the form of a shift/stretch to the right for high-priming manipulations and to the left for low-priming manipulations.     

Construction cost map of European countries

Abstract

In the globalized business world, construction companies start to seek new opportunities to invest on an international basis in order to gain profit. Therefore, construction companies have to conduct not only national projects but also international projects to be competitive. However, although these international projects can be profitable, the construction companies face many challenges in the management of these projects due to the country-specific problems and conditions. This can lead to variation in the management of similar projects conducted in different countries. In particular, cost estimation in different countries is a challenging task for construction companies. Therefore, in order to provide insights about construction cost in different countries, different organizations publish construction cost indices. However, some criticisms related to the reliability and usability of these indices are stated. In this study, a new concept, called a cost map, is proposed by developing a framework based on twelve macro level parameters. The cost map is applied to 37 European countries. The data related to these parameters are collected using different databases. European countries are clustered by using a self-organizing map. As a result of this study, the cost map is determined as a reliable and convenient tool for a cost comparison.