Opinion convergence in location: A spatial version of the Delphi method

This paper proposes a modified version of the Delphi method, starting from the assumption that in many situations the convergence of opinions can be considered in a spatial context. The Spatial Delphi we suggest is based, like the classical Delphi, on the judgments of experts, and it is useful in the consultations for decision and/or forecast purposes, provided that they concern matters of spatial location. The basis for the questionnaire is a map, on which each expert provides, as answer(s), one or more opinion-points, i.e., locations that, according to their opinion, are best for a specific purpose. We propose a method for narrowing the area of convergence along a multi-step procedure so that the final result of the consultation is a small portion of the initial territory with respect to the initial area considered. Besides a simulation study, we report also a prototype application with a panel of twelve experts.     

Beyond Contracts: Love in Firms

The traditional theories of the firm leave no room for love in business organizations, perhaps because it is thought that love is only an emotion or feeling, not a virtue, or because economic efficiency and profit making are considered to be incompatible with the practice of charity or love. In this article, we show based on an approach to the human action within the organization, that love can and must be lived in firms for firms to operate efficiently, be attractive to those who take part in them, and act consistently in the long run.     

Improving Group Attention: An Experiment with Synchronous Brainstorming

In this paper we address the problem of information overload in synchronous group work: the large quantity of information, multiple information sources, and the need to sustain reciprocal interdependence have a negative impact on the capacity to attend to the group. We propose a group attention model characterizing the dynamic coupling between the group members and the mediating technology. Based on that model, we developed a compensation mechanism capable to estimate the most adequate time to raise the users?? attention to the group. We describe how this compensation mechanism was applied to synchronous brainstorming and present results from a laboratory experiment. The obtained results indicate that groups using the compensation mechanism produced 9.6% more ideas when compared to the control groups. A detailed post-hoc analysis of the data obtained in the experiment also indicates that users using the compensation mechanism had 7.5 s of extra uninterrupted time to think about and type an idea, which they began to write 6.4 s sooner, and completed in 4.2 s less time.     

The political determinants of liberalization: do ideological cleavages still matter?

We investigate the political determinants of liberalization in OECD network industries, performing a panel estimation over 30 years, through the largest and most updated sample available. Our results contrast with the traditional wisdom according to which right-wing governments do promote market-oriented policies more intensively than left-wing ones. Our findings reveal a neglected role of the so-called neoliberalism in promoting left-wing market-oriented policy. As a result, we claim that ideological cleavages ceased to act as determinants of the liberalization wave observed in network industries. This result is confirmed when controlling for the existing regulatory conditions that executives find when elected. Furthermore, we find that the country’s exposure to other countries’ policy initiatives acts as a positive stimulus for liberalization policies.     

EMPLOYEE PARTICIPATION IN POLLUTION REDUCTION: A SOCIO-TECHNICAL PERSPECTIVE

Is industrial pollution reduction solely a matter of applying technical solutions to technical problems, or do organizational strategies and human factors also play an important part? In 1991 the US Environmental Protection Agency began collecting data on organizational strategies in pollution control as part of its Toxic Release Inventory database. An exploratory analysis of the 1991–1992 Toxic Release Inventory data revealed evidence that internally based, socially driven organizational strategies such as employee participation can have a dramatic impact on pollution reduction. The results are reported here of the second phase of this research: the approach is broadened to define general ‘internal’ versus ‘external’ strategies, and ‘social’ versus ‘technical’ approaches. There is strong evidence that the combination of internal and external strategies is superior to either alone; there is even stronger evidence that a socio-technical approach is better than either alone, and still stronger support for a combination of all of these criteria.     

Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry

International Entrepreneurship and Management Journal - With a surge in communication channels increasing the complexity of today’s media landscape, companies face new challenges concerning...     

Forecasting commodity price indexes using macroeconomic and financial predictors

Using a long sample of commodity spot price indexes over the period 1947–2010, we examine the out-of-sample predictability of commodity prices by means of macroeconomic and financial variables. Commodity currencies are found to have some predictive power at short (monthly and quarterly) forecast horizons, while growth in industrial production and the investment–capital ratio have some predictive power at longer (yearly) horizons. Commodity price predictability is strongest when based on multivariate approaches that account for parameter estimation error. Commodity price predictability varies substantially across economic states, being strongest during economic recessions.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

Is Oil Palm Expansion a Challenge to Agroecology? Smallholders Practising Industrial Farming in Mexico

Agroecology has become a powerful alternative paradigm for rural development. In contrast to conventional approaches, this paradigm shifts the emphasis from technology and markets to local knowledge, social justice and food sovereignty, to overcome rural poverty and environmental degradation. However, the spread of this approach faces several obstacles. This paper deals with one of these obstacles: the ‘preference’ of smallholders for industrial farming. We specifically analyse the widespread uptake up of oil palm by smallholders in Chiapas. Contrary to agro‐ecological assumptions, oil palm proved favourable to smallholders in Chiapas because of historical and contemporary state–peasant relations and the advantageous economic circumstances within the oil palm sector. Based on this research, we identify four challenges for agroecology: (i) the existence of contradictory interests within the peasantry as a result of social differentiation; (ii) the role of the state in making conventional development models relatively favourable to smallholders; (iii) the prevalence of modernization ideologies in many rural areas; and (iv) the need for this paradigm to acknowledge smallholders' agency also when engaged in industrial farming. These challenges need to be tackled for agroecology to offer viable alternatives in a context of agro‐industrialization.     

Analysis of the Service Dominant Logic network,authors, and articles

The present study analyses research conducted in Service Dominant Logic (S-D logic), providing an overview of its intellectual structure. For that purpose, a structured approach was adopted through the implementation of bibliometric methods, using co-citation analysis combined with performance analysis and an integrative science mapping approach, which considered a timeline, a graph, and a distance-based perspective. This allowed the identification of the leading authors and of six clusters of articles based on bibliographic coupling, along with the most prominent research themes clustered in five subdomains of research based on co-occurrence of terms. The networks extracted show the associations between the main articles and concepts treated by the S-D logic community, unveiling the salient challenges and prospective expansion facing its future theoretical and practical context.