Gender differences in socially responsible consumption. An experimental investigation

We report on a simple experimental study designed to investigate the different gender attitudes towards socially responsible consumption. We use the Vote-with-the-Wallet Game, (VWG), a version of a repeated multiplayer prisoner’s dilemma that mimics the characteristics of the choice between a conventional and a socially responsible product. More precisely we test the effect of three factors: two different frames and an ex-post redistribution mechanism that transfers resources from purely self-interested consumers to responsible ones. We find that women remain significantly more cooperative (choosing more often the responsible good) when the redistribution mechanism is interrupted and are significantly less satisfied about the behaviour of the other players in that treatment.     

Testing for heterogeneity of preferences in randomized experiments: a satisfaction-based approach applied to multiplayer prisoners’ dilemmas

We use experimental data from the ‘vote with the wallet’ multiplayer prisoner’s dilemma to investigate with a finite mixture approach the effect of a responsible purchase on players’ satisfaction. We find clear-cut evidence of heterogeneity of preferences with two groups of players that differ significantly in terms of effects of the responsible choice on satisfaction.     

Performance measurement in R&D: exploring the interplay between measurement objectives, dimensions of performance and contextual factors

Measuring research and development (R&D) performance has become a fundamental concern for R&D managers and executives in the last decades. As a result, the issue has been extensively debated in innovation and R&D management literature. The paper contributes to this growing body of knowledge, adopting a systemic and contextual perspective to look into the problem of measuring R&D performance. In particular, it explores the interplay between measurement objectives, performance dimensions and contextual factors in the design of a performance measurement system (PMS) for R&D activities. The paper relies on a multiple case study analysis that involved 15 Italian technology-intensive firms. The results indicate that firms measure R&D performance with different purposes, i.e. motivate researchers and engineers, monitor the progress of activities, evaluate the profitability of R&D projects, favour coordination and communication and stimulate organisational learning. These objectives are pursued in clusters, and the importance firms attach to each cluster is influenced by the context (type of R&D, industry belonging, size) in which measurement takes place. Furthermore, a firm's choice to measure R&D performance along a particular perspective (i.e. financial, customer, business processes or innovation and learning) is influenced by the classes of objectives (diagnostic, motivational or interactive) that are given higher priority. The implications of these results for R&D managers and scholars are discussed in the paper.     

Unravelling the design process of business models from linear to circular: An empirical investigation

In the last years, circular economy has represented one of the most-debated topics in management research. Although the understanding of this industrial paradigm has significantly improved over the last decade, a number of important research questions still remain unanswered. Among them, the design process of business model through which established firms evolve from being linear to circular deserves further investigation. Existing research still falls short to investigate how companies design the dimensions of value creation, value transfer, and value capture of their business models to launch circular products into the market. By leveraging a multiple case study analysis of four companies in the paper and beverage industries that have launched six circular products, the paper examines the process that these companies have followed to face the transition toward a circular business model. The paper contributes to the research field in the intersection between new product development and circular business models, by showing that the process toward a circular business model occurs along three major phases, that is, idea generation, product development, and commercialization. In each phase, companies implement peculiar managerial practices for launching circular products into the market, which typically address all the dimensions of the business model and follows a recurrent path over time.     

Towards a framework for dynamic technology strategy

This paper attempts to set up a framework for formulating a dynamic technology strategy. Competitive enviroments are increasingly dynamic, and this makes traditional methodologies and approaches to the strategy obsolete or inadequate. Empirical research has been conducted on the technology strategy process of three large companies operating in highly dynamic and technology-intensive environments. On the basis of the results of this, the authors attempte to put forward a framework which should help firms to conceive their technology strategy.     

A Multiagent Model for Coordinated Distribution Chain Planning

The aim of this article is to show the advantages that the use of a multiagent model can provide in implementing vertical and lateral coordination among the components of a noncentralized distribution chain. This model has been implemented in Java language in order to allow for the development of a Web-based decision support system that can perform the coordination strategies, simulated in this article in a real logistics chain.

This article, after introducing the main concepts related to the adoption of coordination mechanisms within a supply chain, the main issues of agent-oriented technology, and a brief review of the related literature, presents the structure of the proposed model and the static and dynamic behaviors of the decision-making agents. The design issues of specific coordination models, the negotiation mechanisms introduced, and their proper tuning are then discussed. The models have been applied to a real two-level distribution system of an electromechanical company, made up of a supplier and a geographically distributed network of retailers. Experimental results showed the benefits derived from the adoption of coordination-based models, above all in supply contexts, characterized by relevant information sharing among the main tiers of the chain.     

Path-dependent scenario trees for multistage stochastic programmes in finance

The formulation of dynamic stochastic programmes for financial applications generally requires the definition of a risk–reward objective function and a financial stochastic model to represent the uncertainty underlying the decision problem. The solution of the optimization problem and the quality of the resulting strategy will depend critically on the adopted financial model and its consistency with observed market dynamics. We present a recursive scenario approximation approach suitable for financial management problems, leading to a minimal yet sufficient representation of the randomness underlying the decision problem. The method relies on the definition of a benchmark probability space generated through Monte Carlo simulation and the implementation of a scenario reduction scheme. The procedure is tested on an interest rate vector process capturing market and credit risk dynamics in the fixed income market. The collected results show that a limited number of scenarios is sufficient to capture the exposure of the decision maker to interest rate and default risk.     

Retail investors and financial advisors: New evidence on trust and advice taking heuristics

This paper investigates factors that influence trust and advice taking among retail investors when consulting with financial advisors and making real-world portfolio decisions. The data reveal that non-expert retail investors trust their advisors a lot. Trust formation appears to be well described by a simple heuristic that relies substantially on the advisor's communication style when deciding how much to trust and delegate investment decisions. Portfolio decisions appear to depend more on investors' perceptions about the investor–advisor relationship than on the risk and return characteristics of investments comprising the portfolio choice set. This evidence supports Pentland's (2008) “honest signals” as a more powerful mechanism underlying investor trust than standard metrics based on past performance. Trust and advice-taking heuristics can be interpreted as well adapted to the environment of the non-profit bank cooperatives in which they are observed, implying that trusting based on simple honest signals, although vulnerable to exploitation, can be interpreted as ecologically rational. Features of the investor's environment typical of non-profit cooperative banks imply that the heuristics investors use can perform rather well without requiring investment experience or financial sophistication, which most investors in our sample are well aware they lack.