The semantics of market and civil society: a bird’s eye view of Robert Sugden’s contribution to social sciences

In this article, we discuss some key aspects of Robert Sugden’s contribution to social sciences. We focus on both his inclination to consider social orders compatible with the real distribution of knowledge in society and his idea that the market is better seen as a network of opportunities for mutual advantage.     

Knowledge Sharing through Face‐to‐Face Communication and Labour Productivity: Evidence from British Workplaces

We investigate whether the adoption by workplaces of human resources management (HRM) practices that enhance face‐to‐face communication (FTFC) among employees is associated with productivity gains. The analysis is based on a nationally representative sample of over 500 British trading establishments drawn from the linked 2004 Workplace Employment Relations Survey and Annual Business Inquiry, for which objective measures of labour productivity (value added per employee) are available. We find a positive association between productivity and FTFC in problem‐solving groups, teams and meetings of senior or line managers and employees, provided that FTFC is adopted on a continuous basis. Our finding suggests that British workplaces in the trading sector could increase their productivity by implementing HRM practices in such a way as to enhance knowledge sharing through employees' personal interactions.     

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.     

What explains the low profitability of Chinese banks?

This paper analyzes empirically what explains the low profitability of Chinese banks for the period 1997–2004. We find that better capitalized banks tend to be more profitable. The same is true for banks with a relatively larger share of deposits and for more X-efficient banks. In addition, a less concentrated banking system increases bank profitability, which basically reflects that the four state-owned commercial banks – China’s largest banks – have been the main drag for system’s profitability. We find the same negative influence for China’s development banks (so-called Policy Banks), which are fully state-owned. Instead, more market-oriented banks, such as joint-stock commercial banks, tend to be more profitable, which again points to the influence of government intervention in explaining bank performance in China. These findings should not come as a surprise for a banking system which has long been functioning as a mechanism for transferring huge savings to meet public policy goals.     

Antecedents and consequences of adaptive selling confidence and behavior: a dyadic analysis of salespeople and their customers

Personal selling is thought to be a very effective marketing vehicle. The notion of adaptive selling suggests that it should work better than any other means of communication because salespeople are able to develop a unique message for each customer. This research proposes a model of key antecedents and consequences of adaptive selling. In particular, we distinguish, measure, and model the attitudinal and behavioral aspects of adaptive selling, something that is encouraged but not thoroughly examined in the literature. Hypotheses are tested using data from 210 salesperson-customer dyads. The results indicate that a salesperson’s perception of the firm’s customer orientation has an effect on adaptive selling behavior through the salesperson’s adaptive selling confidence, role ambiguity, intrinsic motivation and customer-qualification skills. Adaptive selling behavior increases salesperson’s outcome performance, customers’ evaluations of satisfaction with the product and with the salesperson, which enhance customers’ anticipation of future interactions with the salesperson. The implications for management and theory are discussed.     

Geometric Asian options: valuation and calibration with stochastic volatility

The scaling properties of two alternative fractal models recently proposed to characterize the dynamics of stock market prices are compared. The former is the Multifractal Model of Asset Return (MMAR) introduced in 1997 by Mandelbrot, Calvet and Fisher in three companion papers. The latter is the multifractional Brownian motion (mBm), defined in 1995 by Péltier and Lévy Véhel as an extension of the very well-known fractional Brownian motion (fBm).

We argue that, when fitted on financial time series, the partition function as well as the scaling function of the mBm, i.e. of a generally non-multifractal process, behave as those of a genuine multifractal process. The analysis, which concerns the daily closing prices of eight major stock indexes, suggests to evaluate prudently the recent findings about the multifractal behaviour in finance and economics.     

Land conversion pace under uncertainty and irreversibility: too fast or too slow?

In this paper stochastic dynamic programming is used to investigate land conversion decisions taken by a multitude of landholders under uncertainty about the value of environmental services and irreversible development. We study land conversion under competition on the market for agricultural products when voluntary and mandatory measures are combined by the Government to induce habitat conservation. We show that land conversion can be delayed by paying landholders for the provision of environmental services and by limiting the individual extent of developable land. It is found, instead, that the presence of ceilings on aggregate conversion may lead to runs which rapidly exhaust the targeted amount of land. We study the impact of uncertainty on the optimal conversion policy and discuss conversion dynamics under different policy scenarios on the basis of the relative long-run expected rate of deforestation. Interestingly, we show that uncertainty, even if it induces conversion postponement in the short-run, increases the average rate of deforestation and reduces expected time for total conversion in the long run. Finally, we illustrate our findings through some numerical simulations.     

Time overruns as opportunistic behavior in public procurement

We consider the supplier’s strategic choice on delivery time in a public procurement setting as the result of the firm’s opportunistic behavior on the optimal investment timing when production costs are uncertain. We model the supplier’s trade-off between the option value to defer the contract execution and the penalty payment in the event of delays. We also take into account the issue of penalty enforcement, which in turn depends on both the discretion of the court of law in voiding contractual clauses and the “efficiency” of the judicial system (i.e. the average length of civil trials). We test our main results on Italian public procurement data showing that the supplier’s incentive to delay is greater the higher the volatility of production costs and the lower the “efficiency” of the judicial system. We then calibrate the model using parameters that mimic the Italian scenario on public works procurement and calculate the maximum amount that a supplier is “willing to pay” (per day) to postpone the delivery date and infringe the contract provisions. Our calibration results are consistent with the theoretical model’s predictions and the empirical findings.     

The Short Period and the Long Period in Macroeconomics: An Awkward Distinction

The aim of this paper is to show that the meaning of the well-known concepts of short period and long period is often unclear and may be seriously misleading when applied to macroeconomic analysis. Evidence of this confusion emerges through reappraisal of the interpretative debate of the 1980s and 1990s, which aimed to establish whether Keynes's General Theory should be considered a short- or long-period analysis of the aggregate level of production. Further evidence is provided by the ambiguous use that seems to be made of this distinction in macroeconomics textbooks, as will be shown in the paper. Having explored some possible explanations for the difficulties in defining and applying these methodological tools at a ‘macro’ level, the conclusion is drawn that it would be preferable to abandon this terminology in classifying different aggregate models and simply to make explicit the given factors and the independent and dependent variables in each model, exactly as Keynes did in Chapter 18 of his major work.