Taking strategy seriously:responsibility and reform for an important social practice

Strategy is a pervasive and consequential practice in most Western societies. We respond to strategy's importance by drawing an initial map of strategy as an organizational field that embraces not just firms, but consultancies, business schools, the state and financial institutions. Using the example of Enron, we show how the strategy field is prone to manipulations in which other actors in the field can easily become entrapped, with grave consequences. Given these consequences, we argue that it is time to take strategy seriously in three senses: undertaking systematic research on the field itself; developing appropriate responses to recent failures in the field; and building more heedful interrelationships between actors within the field, particularly between business schools and practitioners.

Optimal design of the renewable energy map of Greece using weighted goal-programming and data envelopment analysis

Renewable energy forms have been widely used in the past decades highlighting a "green" shift in energy production. An actual reason behind this turn to renewable energy production is EU directives which set the Union's targets for energy production from renewable sources, greenhouse gas emissions and increase in energy efficiency. All member countries are obligated to apply harmonized legislation and practices and restructure their energy production networks in order to meet EU targets. Towards the fulfillment of 20-20-20 EU targets, in Greece a specific strategy which promotes the construction of large scale Renewable Energy Source plants is promoted. In this paper, we present an optimal design of the Greek renewable energy production network applying a 0-1 Weighted Goal Programming model, considering social, environmental and economic criteria. In the absence of a panel of experts Data Envelopment Analysis (DEA) approach is used in order to filter the best out of the possible network structures, seeking for the maximum technical efficiency. Super-Efficiency DEA model is also used in order to reduce the solutions and find the best out of all the possible. The results showed that in order to achieve maximum efficiency, the social and environmental criteria must be weighted more than the economic ones.