Dynamic pricing models for ERP systems under network externality

Enterprise Resource Planning (ERP) systems vendors face great challenges to enhance their market position and maximize their profits. Being able to simultaneously predict the diffusion of an ERP and to determine the right price to charge to a customer is a complex task. Earlier work has demonstrated evidence of network effect in the diffusion of ERP software in industries. In light of this evidence, we investigate in this paper the benefit of a dynamic pricing strategy for ERP systems vendors in a business network governed by a quantitative diffusion model. Based on a real scenario in the automotive industry, those quantitative models are integrated into a simulation-based optimization approach to tackle the problem. Our findings are promising and establish the foundation of a powerful decision support tool for ERP systems vendors.     

Condorcet cycles in bipartite populations

Summary. Simple majority voting between pairs of alternatives is used to aggregate individual preferences. The occurence of Condorcet cycles is limited thanks to a principle of homogeneity on individual preferences. The restrictions induced on the domain of the latters are weak: among the n! possible orderings of n alternatives, more than one half are admissible within a domain. The resulting aggregated preference has then a neglectable probability of showing up cycles. We show moreover that the set of individual preferences can be `naturally' partitioned into two such domains. Received: June 17, 1996; revised version: April 15, 1997     

Are risk‐averse agents more optimistic? A Bayesian estimation approach

Our aim is to analyze the link between optimism and risk aversion in a subjective expected utility setting and to estimate the average level of optimism when weighted by risk tolerance. Its estimation leads to a non‐trivial statistical problem. We start from a large lottery survey (1536 individuals). We assume that individuals have true unobservable characteristics. We adopt a Bayesian approach and use a hybrid MCMC approximation method to numerically estimate the distributions of the unobservable characteristics. We find that individuals are on average pessimistic and that pessimism and risk tolerance are positively correlated. Copyright © 2008 John Wiley & Sons, Ltd.     

Entrepreneurial motivation and business performance: evidence from a French Microfinance Institution

This article examines the link between entrepreneurial motivation and business performance in the French microfinance context. Using hand-collected data on business microcredits from a Microfinance Institution (MFI), we provide an indirect measure of entrepreneurial success through loan repayment performance. Controlling for the endogeneity of entrepreneurial motivation in a bivariate probit model, we find that “necessity entrepreneurs” are more likely to have difficulty repaying their microcredits than “opportunity entrepreneurs”. However, type of motivation does not appear to make a difference to business survival. We test for the robustness of our results using parametric duration models and show that necessity entrepreneurs experience difficulties in loan repayment earlier than their opportunity counterparts, corroborating our initial findings. Our results are also robust to a sharper analysis of motivation, focusing on unemployment (on the necessity side) and non-pecuniary benefits from success (on the opportunity side).     

Crowdfunding for the development of smart cities

In recent years, many cities have experienced new forms of collaboration that have an impact on citizens and entrepreneurs. The integration of this field of study with civic crowdfunding can influence economic growth and community building, which may be beneficial for both policymakers and practitioners alike. Civic crowdfunding is a financial model through which citizens, in collaboration with government and local authorities, fund projects to provide a community service. The development of smart cities is related to civic engagement, empowerment, and participation intended to be part of crowdsourcing or entrepreneurial activities. In this sense, cities play a vital role as drivers of (open) innovation and entrepreneurship. Based on these considerations, this study proposes an explorative and qualitative approach to investigate the civic crowdfunding phenomenon and its ability to promote community development. Our exploratory analysis of six projects highlights the challenges and opportunities of civic crowdfunding for the creation, development, and improvement of more inclusive cities.     

How Do Price Perceptions of Different Brand Types Affect Shopping Value and Store Loyalty?

This research investigates the relationships among price perceptions for different brand types (national brands, standard store brands, regional store brands, organic store brands), shopping value dimensions (quality, price, social, and emotion value), and store loyalty (retention and word of mouth (WOM)). A comprehensive model depicts determinants of customer store loyalty. Using structural equation modeling, the model test includes 671 consumers intercepted during shopping trips. The data analysis yields several surprising results. In particular, low product price perceptions do not necessarily signal negative store quality evaluations. Shopping value dimensions influence store retention loyalty and WOM behavior differently. Furthermore, different brand types exert distinct effects on the value creation process. Favorable prices for national and standard store brands have comparable positive effects on store price value and emotional value creation; appealing prices of regional store brands instead reduce the emotional value of the store, and low prices for organic store brand products significantly increase social value creation.     

How Likely are Employers to Rehire Older Workers After Mandatory Retirement? A Vignette Study Among Managers

With a vignette experiment among Dutch managers we examine employers’ considerations in the decision to rehire employees after mandatory retirement. We specifically focus on the effects of the employee’s downward wage flexibility (i.e., the willingness to accept a lower wage) and contract flexibility (i.e., preference for a contract which allows flexible hours or employment). The results show that employers are strongly affected by employees who offer to work for a significantly lower wage, but not by the employees’ preference for a particular labor contract. Employers are overall quite disinclined to rehire employees after mandatory retirement, although large differences exist between employees. Part of these differences can be explained by employers having higher retirement age norms (i.e., the maximum age at which employers consider employees suited for work in their organization).     

CVaR HEDGING USING QUANTIZATION‐BASED STOCHASTIC APPROXIMATION ALGORITHM

In this paper, we investigate a method based on risk minimization to hedge observable but nontradable source of risk on financial or energy markets. The optimal portfolio strategy is obtained by minimizing dynamically the conditional value‐at‐risk (CVaR) using three main tools: a stochastic approximation algorithm, optimal quantization, and variance reduction techniques (importance sampling and linear control variable), as the quantities of interest are naturally related to rare events. As a first step, we investigate the problem of CVaR regression, which corresponds to a static portfolio strategy where the number of units of each tradable assets is fixed at time 0 and remains unchanged till maturity. We devise a stochastic approximation algorithm and study its a.s. convergence and weak convergence rate. Then, we extend our approach to the dynamic case under the assumption that the process modeling the nontradable source of risk and financial assets prices is Markovian. Finally, we illustrate our approach by considering several portfolios in connection with energy markets.