Mind the gap: line managers as effective or non‐effective talent spotters

Due to the centrality of line managers’ role in the talent identification process, this qualitative study aims to determine what effective and non‐effective talent spotters do differently from one another in relation with an ‘ideal’ talent identification model offered by the literature. A double‐blind design was applied to the sample designated by the Corporate Talent Management Director of a Latin American multinational firm. 20 senior and middle managers, some effective and some others non‐effective, who work in different countries, participated in the study. Findings show that effective talent spotters perform three key stages of the talent identification model and they do it extremely well: differentiation of potential from performance, matching process and design of developmental challenges. The clear differentiation of potential from performance constitutes the crucial stage since a fuzzy differentiation taints the following stages. Not only is it necessary to perform these key stages but they should be executed in line with the principles of the talent management literature. Recommendations for practice, including specific guidelines for Talent Managers are proposed.     

An evolutionary model with best response and imitative rules

We formulate an evolutionary oligopoly model where quantity setting players produce following either the static expectation best response or a performance-proportional imitation rule. The choice on how to behave is driven by an evolutionary selection mechanism according to which the rule that brought the highest performance attracts more followers. The model has a stationary state that represents a heterogeneous population where rational and imitative rules coexist and where players produce at the Cournot–Nash level. We find that the intensity of choice, a parameter representing the evolutionary propensity to switch to the most profitable rule, the cost of the best response implementation as well as the number of players have ambiguous roles in determining the stability property of the Cournot–Nash equilibrium. This marks important differences with most of the results from evolutionary models and oligopoly competitions. Such differences should be referred to the particular imitative behavior we consider in the present modeling setup. Moreover, the global analysis of the model reveals that the above-mentioned parameters introduce further elements of complexity, conditioning the convergence toward an inner attractor. In particular, even when the Cournot–Nash equilibrium loses its stability, outputs of players little differ from the Cournot–Nash level and most of the dynamics is due to wide variations of imitators’ relative fraction. This describes dynamic scenarios where shares of players produce more or less at the same level alternating their decision mechanisms.     

The origins of external knowledge inflows and the impact of university technologies

This paper analyses how universities leverage knowledge coming from different technological, institutional, and geographical domains to develop technologies exerting a relevant impact for firms’ technological advancements. The analysis is based on a panel of 219 worldwide universities that filed, at least, a patent belonging to the alternative energy production sector in the period 2002–2010. Results show that using external knowledge originating in different technological and institutional domains exerts an inverted U‐shaped effect on the firms’ subsequent technological progress, while the geographical origin seems to do not exert any influence.     

Belief elicitation in experiments: is there a hedging problem?

Belief-elicitation experiments usually reward accuracy of stated beliefs in addition to payments for other decisions. But this allows risk-averse subjects to hedge with their stated beliefs against adverse outcomes of the other decisions. So can we trust the existing belief-elicitation results? And can we avoid potential hedging confounds? We propose an experimental design that theoretically eliminates hedging opportunities. Using this design, we test for the empirical relevance of hedging effects in the lab. Our results suggest that hedging confounds are not a major problem unless hedging opportunities are very prominent. If hedging opportunities are transparent, and incentives to hedge are strong, many subjects do spot hedging opportunities and respond to them. The bias can go beyond players actually hedging themselves, because some expect others to hedge and best respond to this.     

Public expenditure distribution,voting, and growth

In this paper, we study why the misallocation of resources across different productive sectors tends to persist over time. To this end, we propose a general equilibrium model that delivers two structural relations. On one hand, the public expenditure distribution influences the future sectoral composition of the economy. On the other hand, the distribution of vested interests across sectors determines public policy decisions. The model predicts that different initial sectoral compositions entail different future streams of public expenditure and therefore different development paths.     

Externalities in appropriation: responses to probabilistic losses

Using an appropriation game setting, we examine individual responses to changes in a groups’ vulnerability to a probabilistic loss (L) of a public good. The probabilistic loss parameter entails losing 10, 50 or 90% of the value of the public good that is maintained through cooperation, where the likelihood of the loss decreases in total group cooperation. By design, the expected marginal net benefits to an individual and the expected harm to others depends endogenously on the individuals’ expectations of group cooperation and exogenously on the magnitude of the loss parameter. We find that individual cooperation is greater when forecasts of total group cooperation are greater and where the magnitude of the probabilistic loss is larger. There is, however, an interesting asymmetry in responses by two subgroups. Subjects who are pessimistic regarding total group cooperation decrease cooperation the higher the magnitude of the probabilistic loss and their decisions are tied systematically to changes in their expectations of other’s cooperation. On the other hand, subjects who are optimistic regarding total group cooperation are found to be more cooperative, but their decisions are not systematically tied to changes in expectations of others’ cooperation.     

Trade credit and bank credit: Evidence from recent financial crises

This paper studies the effect of financial crises on trade credit for a sample of 890 firms in six emerging economies. Although the provision of trade credit increases right after a crisis, it contracts in the following months and years. Firms that are financially more vulnerable to crises extend less trade credit to their customers. We argue that the decline in aggregate trade credit ratios is driven by the reduction in the supply of trade credit that follows a bank credit crunch, consistent with the “redistribution view” of trade credit provision, whereby bank credit is redistributed via trade credit from financially stronger firms to weaker firms.     

OIL CURSE AND INSTITUTIONAL CHANGES: WHICH INSTITUTIONS ARE MOST VULNERABLE TO THE CURSE AND UNDER WHAT CIRCUMSTANCES?

This article extends recent analyses linking the alleged oil curse to a broader set of institutions (13 in number) than democracy, the institution that has received the most attention in the literature. It does so using panel data for over 100 countries between 1975 and 2005, wherever possible, and compares the effects obtained with several different measures of both the importance of oil and experience in the industry and of the interactions between them. Most importantly, instead of simply examining the effect of oil and experience in the industry on the contemporary levels of these various institutions, this study focuses on the effects on changes in the various institutional indicators from one decade to another. While not surprisingly our results reveal considerable sensitivity in the effects of oil resources, oil experience, and interactions across different specifications, they also suggest a number of important findings. The most robust of these are the significant negative effects of oil rents on bureaucratic quality and on socioeconomic conditions. We also find that the number of years since peak oil discovery has a positive effect on government stability, but a negative one on bureaucratic quality. When interactions are allowed for, still more negative effects on institutions are identified, at least partially re‐enforcing several of the institutional links in the oil curse hypothesis. (JEL O13, P16)     

Strategic technology alliances and networks

This paper briefly reviews the literature on strategic technology alliances (STAs) and networks, allocating the contributions to ‘micro’ (firm) and ‘meso’ perspectives (the network). The focus is on a logical reconstruction of important themes in the literature pertaining to the role of STAs in boosting innovation and in promoting the survival and growth of partners and their environments. Overall, the literature points to a quite important role of alliances and networks especially in knowledge-intensive industrial activities combining the production and utilization of technological knowledge for competitiveness and growth. Not unexpectedly, important differences are pointed out in terms of incentives and benefits from alliances across different types of firms and industries. Network structure evolves in accordance with the nature of the industry and with the type of technological advancement sought by participating organizations.     

The use of eLearning strategies among travel agents in the United Kingdom,India and New Zealand

ABSTRACT

This study explores the use of eLearning courses created by destination management organizations for education and certification in the travel trade. Phone interviews were conducted with travel agents based in the United Kingdom, India and New Zealand to identify knowledge upgrade strategies with regard to tourism destinations. The study evaluates the rates of current usage and awareness of eLearning courses about tourism destinations among agents in the three countries.