An experimental analysis of team production in networks

Experimental and empirical evidence highlights the role of networks on social outcomes. This paper tests the properties of exogenously fixed networks in team production. Subjects make the same decisions in a team work environment under four different organizational networks: the line, the circle, the star, and the complete network. In all the networks, links make information available to neighbors. This design allows us to analyze decisions across networks and a variety of subject types in a standard linear team production game. Contribution levels differ significantly across networks and the star is the most efficient incomplete network. Moreover, our results suggest that subjects act as conditional cooperators with respect to the information received from the network.     

Alliances Between Brands and Social Causes: The Influence of Company Credibility on Social Responsibility Image

This research extends previous findings related to the positive influence of company credibility on a social Cause–Brand Alliance’s (CBA) persuasion mechanism. This study analyzes the mediating role of two dimensions of company credibility (trustworthiness and expertise) with regard to the influence of altruistic attributions and two types of brand–cause fit (functional and image fit) on corporate social responsibility image. A structural equation model tests the proposed framework with a sample of 299 consumers, and the results suggest that (1) image fit and altruistic attribution are cues that consumers use to evaluate company trustworthiness when linking to a social cause; (2) functional fit significantly influences perceived company expertise but not trustworthiness; and (3) trustworthiness has more weight than expertise in judgments about corporate social responsibility.     

Type of diversification and firm resources: new empirical evidence from the Spanish tourism industry

This paper analyses the diversification strategies followed by tourism firms from the perspective of the resource‐based view. More specifically, it seeks to verify whether the composition of the firms' resources has a bearing on the decision to undertake one type of diversification or another (related or unrelated). From a mail survey to 80 Spanish tourism firms, we identified 94 entries into new business areas. We applied an ordered logit regression and have statistically confirmed that intangible resources lead to a more related type of diversification. Copyright © 2008 John Wiley & Sons, Ltd.     

Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions

Since the beginning of the last century the world is experiencing an important demographic transition, which will probably impact on economic growth. Many demographers and social scientists are trying to understand the key drivers of such transition as well as its profound implications. A correct understanding will help to predict other important trends of the world primary energy demand and the carbon emission to the atmosphere, which may be leading to an important climate change. This paper proposes a set of coupled differential equations to describe the changes of population, gross domestic product, primary energy consumption and carbon emissions, modeled as competing species as in Lotka-Volterra prey-predator relations. The predator-prey model is well known in the biological, ecological and environmental literature and has also been applied successfully in other fields. This model proposes a new and simple conceptual explanation of the interactions and feedbacks among the principal driving forces leading to the present transition. The estimated results for the temporal evolution of world population, gross domestic product, primary energy consumption and carbon emissions are calculated from year 1850 to year 2150. The calculated scenarios are in good agreement with common world data and projections for the next 100 years.     

Spanning tests in return and stochastic discount factor mean–variance frontiers: A unifying approach

We propose new spanning tests that assess if the initial and additional assets share the economically meaningful cost and mean representing portfolios. We prove their asymptotic equivalence to existing tests under local alternatives. We also show that unlike two-step or iterated procedures, single-step methods such as continuously updated GMM yield numerically identical overidentifying restrictions test, so there is arguably a single spanning test. To prove these results, we extend optimal GMM inference to deal with singularities in the long run second moment matrix of the influence functions. Finally, we test for spanning using size and book-to-market sorted US stock portfolios.     

Tourism image, evaluation variables and after purchase behaviour: inter-relationship

Numerous authors have pointed out the influence of tourism image on consumer behaviour. Tourism image will also exercise some influence on the quality perceived by tourists and on the satisfaction obtained from the holiday experience. This paper focuses on the relationship between the image of a destination as perceived by tourists and their behavioural intentions, and between that same image and the post-purchase evaluation of the stay. We will also examine the relationship between quality and satisfaction and between these variables and the tourist's behaviour variables. We place the accent on a joint analysis of these relationships, using a structural equation model. The results of the empirical study show that tourism image is a direct antecedent of perceived quality, satisfaction, intention to return and willingness to recommend the destination. The role of image as a key factor in destination marketing is thus confirmed. With reference to the other relationships, on the one hand, it is confirmed that quality has a positive influence on satisfaction and intention to return and that satisfaction determines the willingness to recommend the destination. However, the influence of quality on ‘willingness to recommend’ and the influence of satisfaction on ‘intention to return’ cannot be corroborated. In this sense, further research could be necessary.     

Board‐level ethics committees in large European firms

After the approval of a code of ethics, the creation of a permanent board‐level ethics committee is the next step in the institutionalization of business ethics. This study explores how the board's structure and demographic characteristics explain the decision to form an ethics committee. The analysis is based on the constituents of the Standard and Poor's Europe 350 index. Consistent with our hypotheses, we find that ethics committees are more likely to be found in firms with a lower presence of executive directors and of directors holding MBA degrees. However, we also observe that boards chaired by executive directors seem to favor the creation of an ethics committee. Additionally, as we had anticipated, firms with stronger agency conflicts seem to be more willing to create committees. The analysis conducted with segmented samples reveals that the model has greater explanatory power when applied to firms from common‐law and French civil‐law countries than when applied to firms from the German–Scandinavian civil‐law area. Finally, our results indicate that a firm's country of origin is a more influential factor in explaining the decision to create an ethics committee than the industry to which it belongs or even the magnitude of its agency conflicts.     

GROWING LIKE SPAIN: 1995–2007

Measured total factor productivity (TFP) fell in Spain during the boom years of 1995–2007. Using administrative data from the quasi-universe of firms, we show that there was an increase in misallocation, which was more severe in sectors where connections with public officials are more important for business success. We write and estimate a simple model of cronyism in which heterogeneous firms invest in political connections. Our quantitative exercise concludes that the institutional decline over this period costed 1.9% growth in TFP per year and a 0.8% annual increase in the resources spent by firms in establishing political connections.     

Run length distributions and economic design of [`(X)]\bar X charts with unknown process variance

The run length distribution of charts with unknown process variance is analized using numerical integration. Both traditional chart limits and a method due to Hillier are considered. It is shown that setting control limits based on the pooled standard deviation, as opposed to the average sample standard deviation, provides better run length performance due to its smaller mean square error. The effect of an unknown process variance is shown to increase the area under both tails of the run length distribution. If Hillier’s method is used instead, only the right tail of the run length distribution is increased. Collani’s model for the economic design of charts is extended to the case of unknown process variance by writing his standardized objective function in terms of average run lengths.     

Determinants of website traffic: the case of European fashion apparel retailers

The globalization process together with the extraordinary growth in the use of Internet offer firms new growth opportunities. Retail firms are using a multichannel approach, involving the Internet, in their internationalization strategies. Website traffic as measured by unique users and online awareness is among the measures for assessing the success of the online channel. There is little evidence, however, linking website traffic and the characteristics of the retail multichannel internationalization process. In order to fill this gap, this paper analyses the factors explaining the retailer's international website traffic. Website traffic data for a sample of European fashion apparel retailers are modelled as dependent on characteristics of the organization and of its physical and virtual internationalization strategy. Following the results of several linear regression models, we infer the complementarity of online and offline channels in the international operation, as well as the contribution of social networks as traffic generators.