Browsing by Type "conference poster"

To estimate the bid-ask spread, we propose a new method that resembles the Roll measure (1984) but has some key advantages: it is fully independent of bid-ask bounces and benefits from a wider information set, namely, close, high, and low prices, which are readily available. Assessed against other low-frequency estimates, our estimator generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Finally, our estimator improves the measurement of systematic liquidity risk and commonality in liquidity for individual stocks and sorted portfolios.

While customer journeys increasingly shift online, research suggest that offline interaction between customers and companies is decreasing. However, a literature review indicates that due to a lower amount of physical experiences, offline touchpoints regain importance. To investigate this issue, the role of the retail space in the value creation process is discussed. Further, the impact of non-financial value on perceived price and price acceptance is elaborated against the background of sociological capital theory. The author argues that the store-end provides significant opportunities for added-value creation. More precisely, offline experiences can produce non-financial value which is convertible into financial capital, thereby increasing perceived price and price acceptance among customers. The author develops first managerial implications for a strategic use of retail space and provides theoretical grounds for analyzing the impact of experience-based retail marketing on price acceptance in large qualitative and quantitative data sets.

This research project aims to describe and identify the effects that AI technologies will have on the field of pricing. As the technology and its possibilities are widely discussed and the extensive benefit companies could hold using these technologies in pricing, the details about implementation and feasibility still prevent the technology’s market penetration. However, technological process is knowingly extremely fast and in order to keep pace (future) managers have to educate themselves and develop a very different set of skills, which on the other hand is a process with long-term scope. This dilemma can only be solved by taking a look in the future and focus resources on the most promising capabilities. The closest we can get to this would be by consolidating expert opinions and make them reflect on accordances as well as using differences for deeper reflection. This procedure is called Delphi study design and will be explained in detail in the next chapters.

No behavior has an impact on human health as great as physical activity (PA). We therefore developed Ally, a smartphone-based 6-week PA intervention. Ally seeks to exploit the ubiquity and sensing capabilities of mobile phones to adapt the provision of PA interventions to the context of the user. In this research we investigate the following research questions: (1) What are effective components of Ally, a mHealth physical activity intervention? and (2) Can mobile sensor data predict opportune moments for interventions?