Patterns of strategic alliances between rival firms

This article describes the results of a research project which examined 171 alliances set up by competing firms in an international context. It presents an empirically-based taxonomy of such alliances constructed on the basis of a set of variables chosen for their demonstrated or assumed influence on the evolution and outcomes of strategic partnerships. Three contrasted types of alliances are identified: quasi-concentration alliances, market penetration alliances and shared supply alliances. They differ according to two fundamental dimensions: their symmetrical or dissymmetrical nature and the way in which they alter competition. Legal structure, often emphasized in previous research on the subject, does not emerge as a strongly discriminating factor. Hypotheses on the likely evolution and outcomes of each type of alliance are derived from the taxonomy.We are grateful to Barbara Gray, Stuart Hart, Aneel Karnani, Will Mitchell, Michel Tenenhaus, and to two anonymous reviewers for their very valuable and helpful comments on earlier drafts of this article. Our research project was funded by Fondation HEC, whose support we gratefully acknowledge.     

Designing sales force satisfying selling positions: a conjoint measurement approach

To design selling positions that appeal to both new and incumbent salespersons, management needs to understand salespersons' preferences for job characteristics. The study reported here exemplifies an effort to operationalize salespersons' preferences for job and task characteristics that takes account of both career stage and gender. Findings indicate that salespeople in the sample prefer salary-based compensation and that female salespeople prefer sales jobs that are fixed in location.     

Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty

The notional defined contribution model combines pay-as-you-go financing and a defined contribution pension formula. This paper aims to demonstrate the extent to which liquidity and solvency indicators are affected by fluctuations in economic and demographic conditions and to explore the introduction of an automatic balancing mechanism (ABM) into the pension scheme. We demonstrate that the introduction of an ABM reduces the volatility of the buffer fund and that, in most cases, the automatic mechanism that re-establishes solvency produces the highest value of the risk-adjusted notional factor.     

Participating Insurance Contracts and the Rothschild-Stiglitz Equilibrium Puzzle

We extend the Rothschild-Stiglitz (RS) insurance market model with adverse selection by allowing insurers to offer either non-participating or participating policies, that is, insurance contracts with policy dividends or supplementary calls for premium. It is shown that an equilibrium always exists in such a setting. Participating policies act as an implicit threat that dissuades deviant insurers who aim to attract low-risk individuals only. The model predicts that the mutual corporate form should be prevalent in insurance markets where second-best Pareto efficiency requires cross-subsidisation between risk types.     

A critical overview of privacy-preserving approaches for collaborative forecasting

Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations.     

Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends*

This article makes an analytical study of the effects of the presence of both common and idiosyncratic stochastic trends on the pooled least squares estimator. The results suggest that the usual result of asymptotic normality depends critically on the absence of the common stochastic trend.     

Sustainability marketing research: past,present and future

Abstract

This paper provides a synthesis and critical assessment of the sustainability marketing literature, from the period 1998–2013, building on a previous assessment from 1971 to 1998. It details research within major marketing journals and critically assesses this research in relation to the on-going conversation which focuses on marketing’s relationship with the natural environment. Differences in the content and depth of sustainability coverage in marketing journals are considered. Potential avenues for future sustainability marketing research are proposed, with a particular call for theoretical and managerial reflections which tackle broader systemic and institutional issues within the discipline.     

Regulation of relationships between heterogeneous farmers and an aquifer accounting for lag effects

Many environmental problems are due to damage caused by pollutants that accumulate with a time lag following their emission. In this study, we focus on nitrates used in agriculture, which can pollute groundwater many years after their initial application. A dynamic optimal control problem with heterogeneous farmers is proposed. The usual structural parameters such as the discount rate, the natural clearing rate and the lagged time interval between the occurrence of soil‐level pollution and the impact on groundwater are taken into account. We also examine pollution as caused by a continuous set of farms characterised by their individual performance index and by their individual marginal contribution to the pollution. The issue is further investigated by taking account of change in the information context, successively related to perfect information and to asymmetric information. As a result, when the delay between the spreading of N‐fertilizer and the impact on the aquifer increases, that is, the longer the lag, the steady‐state pollution stock and the steady‐state shadow price of the stock both increase. Moreover, we show that the optimal regulation may require a decreasing amount of fertilizer over time, even in the case of initial underpollution.     

Reducing the distance: financial services education in web-extended learning environments

It is estimated that financial services comprise around 15% of the global economy. From the supply side, one key to meeting this demand is being able to educate and certify the people who provide these services. With the advent of the internet and related technologies, the ability to deliver financial services education synchronously to both online and on-campus attendees has become a viable alternative to pure face-to-face or pure online asynchronous education. Nonetheless, one question remains: can virtual technology deliver comparable quality of financial services educational experience as face-to-face teaching? It is this question our paper addresses using the theory of transactional distance. The theory of transactional distance postulates that for optimal learning, the cognitive gap between instructor(s) and learner(s) needs to be minimized. We explore how transactional distance in financial services education varies by attendance modality (in-class, online and mixed) in a synchronous, web-extended classroom. The implications for managers and researchers are explored.