Transformação tecnológica e estratégia competitiva: um estudo multicaso

O objetivo principal desta pesquisa é investigar como a inovação tecnológica ajuda a moldar estratégias, para obtenção de vantagens competitivas sustentáveis, em um contexto de globalização. Com base em extensa revisão bibliográfica, compreendendo competitividade, tecnologia, estratégia e alianças estratégicas é explorado o fenômeno da inovação tecnológica e sua inserção na gestão estratégica de quatro empresas dos setores de celulose, siderurgia, químico-farmacêutico e de aplicações médicas da energia nuclear. Inicialmente, o conceito de competitividade e a estrutura industrial brasileira são analisados a luz de três modelos distintos. Também é realizada uma avaliação do conceito de competências essenciais das organizações e arquiteturas estratégicas. Posteriormente é avaliada a relação entre vantagem competitiva e inovação tecnológica e as dimensões estratégicas da tecnologia. Finalmente são descritas as escolas de pensamento estratégico e as relações entre alianças estratégicas e transferência de tecnologia. São analisadas as características estruturais e competitivas de cada um dos setores estudados, bem como apresentados perfis das empresas representantes de cada setor. Os dados de cada uma das empresas foram obtidos por meio de entrevistas semi-estruturadas. Os resultados são analisados individualmente e posteriormente consolidados. Os resultados do estudo permitiram identificar que a variável tecnológica é inserida na gestão estratégica das empresas em três níveis distintos. O primeiro nível é o de análise; o segundo é o de decisões estratégicas e finalmente o terceiro nível é o de implementação estratégica. Também foram identificadas as fontes de tecnologia normalmente utilizadas pelas organizações objeto do estudo. Por fim, é sugerido que o modelo de estrutura industrial de Porter pode receber contribuições no sentido de incorporar as estratégias cooperativas das empresas por meio de indicadores de cooperatividade.

Fostering economic policy coordination in Latin America: the REDIMA approach to escaping the prisoner's dilemma

Includes bibliography

The role of municipalities in air toxics regulation: The Houston experience

The federal regulatory regime for addressing airborne toxic pollutants functions fairly well in most of the country. However, it has proved deficient in addressing local risk issues, especially in urban areas with densely concentrated sources. The problem is especially pronounced in Houston, which is home to one of the world's biggest petrochemical complexes and a major port, both located near a large metropolitan center. Despite the fact that local government's role in regulating air toxics is typically quite limited, from 2004-2009, the City of Houston implemented a novel municipality-based air toxics reduction strategy. The initiatives ranged from voluntary agreements to litigation and legislation. This case study considers why the city chose the policy tools it did, how the tools performed relative to the designers' intentions, and how the debate among actors with conflicting values and goals shaped the policy landscape. The city's unconventional approach to controlling hazardous air pollution has not yet been examined rigorously. The case study was developed through reviews of publicly available documents and quasi-public documents obtained through public record requests, as well as interviews with key informants. The informants represented a range of experience and perspectives. They included current and former public officials at the city (including Mayor White), former Texas Commission on Environmental Quality staff, faculty at local universities, industry representatives, and environmental public health advocates. Some of the city's tools were successful in meeting their designers' intent, some were less successful. Ultimately, even those tools that did not achieve their stated purpose were nonetheless successful in bringing attention and resources to the air quality issue. Through a series of pleas and prods, the city managed to draw attention to the problem locally and get reluctant policymakers at higher levels of government to respond. This work demonstrates the potential for local government to overcome limitations in the federal regulatory regime for air toxics control, shifting the balance of local, state, and federal initiative. It also highlights the importance of flexible, cooperative strategies in local environmental protection.^

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors

The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

Working memory constrains human cooperation in the Prisoner’s Dilemma

Many problems in human society reflect the inability of selfish parties to cooperate. The “Iterated Prisoner’s Dilemma” has been used widely as a model for the evolution of cooperation in societies. Axelrod’s computer tournaments and the extensive simulations of evolution by Nowak and Sigmund and others have shown that natural selection can favor cooperative strategies in the Prisoner’s Dilemma. Rigorous empirical tests, however, lag behind the progress made by theorists. Clear predictions differ depending on the players’ capacity to remember previous rounds of the game. To test whether humans use the kind of cooperative strategies predicted, we asked students to play the iterated Prisoner’s Dilemma game either continuously or interrupted after each round by a secondary memory task (i.e., playing the game “Memory”) that constrained the students’ working-memory capacity. When playing without interruption, most students used “Pavlovian” strategies, as predicted, for greater memory capacity, and the rest used “generous tit-for-tat” strategies. The proportion of generous tit-for-tat strategies increased when games of Memory interfered with the subjects’ working memory, as predicted. Students who continued to use complex Pavlovian strategies were less successful in the Memory game, but more successful in the Prisoner’s Dilemma, which indicates a trade-off in memory capacity for the two tasks. Our results suggest that the set of strategies predicted by game theorists approximates human reality.

Human cooperation in the simultaneous and the alternating Prisoner's Dilemma: Pavlov versus Generous Tit-for-Tat.

The iterated Prisoner's Dilemma has become the paradigm for the evolution of cooperation among egoists. Since Axelrod's classic computer tournaments and Nowak and Sigmund's extensive simulations of evolution, we know that natural selection can favor cooperative strategies in the Prisoner's Dilemma. According to recent developments of theory the last champion strategy of "win--stay, lose--shift" ("Pavlov") is the winner only if the players act simultaneously. In the more natural situation of players alternating the roles of donor and recipient a strategy of "Generous Tit-for-Tat" wins computer simulations of short-term memory strategies. We show here by experiments with humans that cooperation dominated in both the simultaneous and the alternating Prisoner's Dilemma. Subjects were consistent in their strategies: 30% adopted a Generous Tit-for-Tat-like strategy, whereas 70% used a Pavlovian strategy in both the alternating and the simultaneous game. As predicted for unconditional strategies, Pavlovian players appeared to be more successful in the simultaneous game whereas Generous Tit-for-Tat-like players achieved higher payoffs in the alternating game. However, the Pavlovian players were smarter than predicted: they suffered less from defectors and exploited cooperators more readily. Humans appear to cooperate either with a Generous Tit-for-Tat-like strategy or with a strategy that appreciates Pavlov's advantages but minimizes its handicaps.

Types of evolutionary stability and the problem of cooperation.

The evolutionary stability of cooperation is a problem of fundamental importance for the biological and social sciences. Different claims have been made about this issue: whereas Axelrod and Hamilton's [Axelrod, R. & Hamilton, W. (1981) Science 211, 1390-1398] widely recognized conclusion is that cooperative rules such as "tit for tat" are evolutionarily stable strategies in the iterated prisoner's dilemma (IPD), Boyd and Lorberbaum [Boyd, R. & Lorberbaum, J. (1987) Nature (London) 327, 58-59] have claimed that no pure strategy is evolutionarily stable in this game. Here we explain why these claims are not contradictory by showing in what sense strategies in the IPD can and cannot be stable and by creating a conceptual framework that yields the type of evolutionary stability attainable in the IPD and in repeated games in general. Having established the relevant concept of stability, we report theorems on some basic properties of strategies that are stable in this sense. We first show that the IPD has "too many" such strategies, so that being stable does not discriminate among behavioral rules. Stable strategies differ, however, on a property that is crucial for their evolutionary survival--the size of the invasion they can resist. This property can be interpreted as a strategy's evolutionary robustness. Conditionally cooperative strategies such as tit for tat are the most robust. Cooperative behavior supported by these strategies is the most robust evolutionary equilibrium: the easiest to attain, and the hardest to disrupt.

Agro-estratégias através do tempo

No início dos anos 2000 consolidou-se o quadro de significativas alterações e ajustes nas estratégias das organizações agrícolas. Destacam-se: a consolidação das organizações, a internacionalização dos sistemas de base agrícola, a inovação presente em processos e produtos e de natureza organizacional, a introdução da variável socioambiental, e a adoção de estratégias de transparência. A cooperação pode exigir investimentos especializados, e os incentivos para a sua realização dependem de mecanismos de controle de custos de transação. Com a presença de incerteza no ambiente econômico e nas transações, a flexibilidade planejada visa eventuais ajustes em face de eventos inesperados. Arranjos institucionais complexos (leia-se, contratos) são observados como forma de responder a necessidades apontadas. Além de confiança, reputação, e mecanismos relacionais, a evolução dos mecanismos sociais por trás dos contratos de sociedade é algo a ser desenvolvido. O presente estudo propõe que as cooperativas agrícolas podem desenvolver mecanismos de governança que geram uma competência adaptativa para enfrentar eventos inesperados. O presente estudo explorou uma visão retrospectiva de estratégias adotadas por cooperativas brasileiras. Assumiu-se aqui uma nova vertente analítica da \"História de Negócios\" e suas implicações voltadas ao sistema agroindustrial. Como diretriz de método, foram seguidas as etapas de identificação das principais estratégias relatadas nos estudos de casos escolhidos, sobre cooperativas, desenvolvidos entre 1991 e 2002. Na sequência compararam-se as estratégias com as diretrizes apresentadas no capítulo teórico. Admite-se que as estratégias que implicam em maiores investimentos em ativos específicos tendem a tornarem mais rígidos os arranjos e dificultam a plasticidade, ou adaptação, das cooperativas agrícolas - onde naturalmente as mudanças ocorrem de forma mais lenta - frente a choques ou eventos externos.

A multiple pheromone ant clustering algorithm

Ant colony optimisation algorithms model the way ants use pheromones for marking paths to important locations in their environment. Pheromone traces are picked up, followed, and reinforced by other ants but also evaporate over time. Optimal paths attract more pheromone and less useful paths fade away. The main innovation of the proposed Multiple Pheromone Ant Clustering Algorithm (MPACA) is to mark objects using many pheromones, one for each value of each attribute describing the objects in multidimensional space. Every object has one or more ants assigned to each attribute value and the ants then try to find other objects with matching values, depositing pheromone traces that link them. Encounters between ants are used to determine when ants should combine their features to look for conjunctions and whether they should belong to the same colony. This paper explains the algorithm and explores its potential effectiveness for cluster analysis. © 2014 Springer International Publishing Switzerland.

Patterns of local R&D cooperation of foreign subsidiaries in an intermediate country: innovative and structural factors

We attempt to contribute to a better understanding of cooperative innovation patterns of foreign subsidiaries (FS) in Spain as a representative intermediate country, going deeply into three main aspects: firstly, a sectoral taxonomy which combines international technological dynamism and revealed technological advantage as a way to understand such patterns. Secondly we focus our attention on innovative intensive subsidiaries, assuming they are the most important ones for hosting countries. Thirdly, we combine innovation and structural-competitive variables to explain local cooperation. We found more intense cooperation of FS with local agents in dynamic specialization sectors, as well as the fact that this is mostly carried out in a complementary mode with inner knowledge capabilities of the companies. Cooperative activities are influenced by economicstructural factors of the Spanish economy, particularly in highly innovative companies. Cooperative strategies of domestic firms might also have an influence on those of foreign subsidiaries.

Do we need to rethink our waterways? Values of ageing waterways in current and future society

In the past canals were developed, and some rivers were heavily altered, driven by the need for good transportation infrastructure. Major investments were made in navigation locks, weirs and artificial embankments, and many of these assets are now reaching the end of their technical lifetime. Since then the concept of integrated water resource management (IWRM) emerged as a concept to manage and develop water-bodies in general. Two pressing problems arise from these developments: (1) major reinvestment is needed in order to maintain the transportation function of these waterways, and (2), it is not clear how the implementation of the concept of IWRM can be brought into harmony with such reinvestment. This paper aims to illustrate the problems in capital-intensive parts of waterway systems, and argues for exploring value-driven solutions that rely on the inclusion of multiple values, thus solving both funding problems and stakeholder conflicts. The focus on value in cooperative strategies is key to defining viable implementation strategies for waterway projects.

Evaluation of cooperative exploration strategies using full system simulation

This paper compares different state-of-the-art exploration strategies for teams of mobile robots exploring an unknown environment. The goal is to help in determining a best strategy for a given multi-robot scenario and optimization target. Experiments are done in a 2D-simulation environment with 5 robots that are equipped with a horizontal laser range finder. Required components like SLAM, path planning and obstacle avoidance of every robot are included in a full-system simulation. To evaluate different strategies the time to finish exploration, the number of measurements that have been integrated into the map and the development in size of the explored area over time are used. The results of extensive test runs on three environments with different characteristics show that simple strategies can perform fairly well in many situations but specialized strategies can improve performance with regards to their targeted evaluation measure.

Inter layer and cooperative design strategies for green mobile networks

The promise of a truly mobile experience is to have the freedom to roam around anywhere and not be bound to a single location. However, the energy required to keep mobile devices connected to the network over extended periods of time quickly dissipates. In fact, energy is a critical resource in the design of wireless networks since wireless devices are usually powered by batteries. Furthermore, multi-standard mobile devices are allowing users to enjoy higher data rates with ubiquitous connectivity. However, the bene ts gained from multiple interfaces come at a cost in terms of energy consumption having profound e ect on the mobile battery lifetime and standby time. This concern is rea rmed by the fact that battery lifetime is one of the top reasons why consumers are deterred from using advanced multimedia services on their mobile on a frequent basis. In order to secure market penetration for next generation services energy e ciency needs to be placed at the forefront of system design. However, despite recent e orts, energy compliant features in legacy technologies are still in its infancy, and new disruptive architectures coupled with interdisciplinary design approaches are required in order to not only promote the energy gain within a single protocol layer, but to enhance the energy gain from a holistic perspective. A promising approach is cooperative smart systems, that in addition to exploiting context information, are entities that are able to form a coalition and cooperate in order to achieve a common goal. Migrating from this baseline, this thesis investigates how these technology paradigm can be applied towards reducing the energy consumption in mobile networks. In addition, we introduce an additional energy saving dimension by adopting an interlayer design so that protocol layers are designed to work in synergy with the host system, rather than independently, for harnessing energy. In this work, we exploit context information, cooperation and inter-layer design for developing new energy e cient and technology agnostic building blocks for mobile networks. These technology enablers include energy e cient node discovery and short-range cooperation for energy saving in mobile handsets, complemented by energy-aware smart scheduling for promoting energy saving on the network side. Analytical and simulations results were obtained, and veri ed in the lab on a real hardware testbed. Results have shown that up to 50% energy saving could be obtained.