HEC Paris

About: HEC Paris is a education organization based out in Jouy-en-Josas, France. It is known for research contribution in the topics: Investment (macroeconomics) & Market liquidity. The organization has 584 authors who have published 2756 publications receiving 104467 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales & HEC School of Management Paris.

Channel design, coordination, and performance: Future research directions

Abstract: The marketing literature has made significant progress toward a better understanding of how firms can effectively design and manage their channels of distribution. However, the complexity of today’s channel systems raises additional issues that remain unaddressed. The purpose of this article is to suggest promising research directions in this domain. We suggest several possible avenues to relate multiple channel design and management to channel-system, channel-relationship, and customer-level outcomes. In particular, we see a great opportunity to integrate multichannel customer management and traditional channel design research. We argue that future research should account for cross-level effects and incorporate variables at more than one relationship level.

SAfeDJ: A Crowd-Cloud Codesign Approach to Situation-Aware Music Delivery for Drivers

Abstract: Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could lead to an improved mood and a more relaxed body state, which could improve driving performance and promote safe driving significantly. In this article, we propose SAfeDJ, a smartphone-based situation-aware music recommendation system, which is designed to turn driving into a safe and enjoyable experience. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion. Its design is based on novel interactive methods, which enable in-car smartphones to orchestrate multiple sources of sensing data and the drivers' social context, in collaboration with cloud computing to form a seamless crowdsensing solution. This solution enables different smartphones to collaboratively recommend preferable music to drivers according to each driver's specific situations in an automated and intelligent manner. Practical experiments of SAfeDJ have proved its effectiveness in music-mood analysis, and mood-fatigue detections of drivers with reasonable computation and communication overheads on smartphones. Also, our user studies have demonstrated that SAfeDJ helps to decrease fatigue degree and negative mood degree of drivers by 49.09p and 36.35p, respectively, compared to traditional smartphone-based music player under similar driving situations.

Banks Exposure to Interest Rate Risk and The Transmission of Monetary Policy

Abstract: We show empirically that banks' exposure to interest rate risk, or income gap, plays a crucial role in monetary policy transmission. In a first step, we show that banks typically retain a large exposure to interest rates that can be predicted with income gap. Secondly, we show that income gap also predicts the sensitivity of bank lending to interest rates. Quantitatively, a 100 basis point increase in the Fed funds rate leads a bank at the 75th percentile of the income gap distribution to increase lending by about 1.6 percentage points annually relative to a bank at the 25th percentile.

Evolution of Shares in a Proof-of-Stake Cryptocurrency

Abstract: Do the rich always get richer by investing in a cryptocurrency for which new coins are issued according to a proof-of-stake (PoS) protocol? We answer this question in the negative: Without trading,...