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.

‘Shopping Around’ for Accounting Practices: The Financial Statement Presentation of French Groups

Abstract: This article illustrates the progressive move away from traditional accounting practices through a study of the presentation of financial statements. Based on a sample of one hundred large French industrial and commercial groups over a ten-year period, and applying a logistic regression method, our survey confirms a trend among French companies, which are increasingly turning their backs on traditional national practices as regards the balance sheet format, the income statement format, the voluntary disclosure of a statement of changes in shareholders’ equity and the cash flow statement format. This move towards ‘alternative’ practices is made possible by the flexibility of French regulation, and can probably be explained by the desire of French firms to attract more investment on international capital markets. However, this trend shows no signs of a clear orientation towards any particular accounting model (IAS, U.S. or U.K.). The behaviour of the French firms observed in our study can be considered as a kind of ‘shopping around’ for accounting practices.

Subjective life horizon and portfolio choice

Abstract: Using data from a U.S. household survey, we examine the empirical relation between subjective life horizon (i.e., the self-reported expectation of remaining life span) and portfolio choice. We find that equity portfolio shares are higher for investors with longer horizons, controlling for gender-specific age effects, socio-economic characteristics, health, and optimism. Our result is robust to accounting for the endogeneity of equity market participation or instrumenting subjective life horizon with parental survival. Finally, we show that the effect of a shortening horizon on portfolio allocation is stronger for households without bequest motives.

The Influence of Observed Heterogeneity on Path Coefficient Significance: Technology Acceptance Within the Marketing Discipline

Abstract: The technology acceptance model (TAM) is arguably one of the most widely used models for studying user adoption in the information systems discipline and has started to be used increasingly within the marketing area. While two of its three main hypotheses have received consistent empirical support, the same is not true for the remaining relationship (i.e., the influence of perceived ease of use on the behavioral intention to adopt a system; PEOU-BI). Previously, this empirical contradiction has been explained by introducing the concept of task motivation borrowed from Davis, Bagozzi, and Warshaw (1992). Our paper provides a different explanation. We show that for the same task (and, hence, the same task motivation), the significance can also depend on observed population heterogeneity. We do this by applying partial least squares (PLS) structural equation modeling (SEM) to data stemming from a survey among approximately 2,000 individuals regarding their intention to adopt a customized newspaper. Our findi...

Distributionally robust workforce scheduling in call centres with uncertain arrival rates

Abstract: Call centre scheduling aims to determine the workforce so as to meet target service levels. The service level depends on the mean rate of arrival calls, which fluctuates during the day, and from day to day. The staff schedule must adjust the workforce period per period during the day, but the flexibility in doing so is limited by the workforce organization by shifts. The challenge is to balance salary costs and possible failures to meet service levels. In this paper, we consider uncertain arrival rates, that vary according to an intra-day seasonality and a global busyness factor. Both factors seasonal and global are estimated from past data and are subject to errors. We propose an approach combining stochastic programming and distributionally robust optimization to minimize the total salary costs under service level constraints. The performance of the robust solution is simulated via Monte-Carlo techniques and compared to the solution based on pure stochastic programming.