Patent intelligence and its implications for patent productivity

The prevailing hypercompetitive environment has made it essential for organizations to gather competitive intelligence from environmental scanning. The knowledge gained leads to organizational learning, which stimulates increased patent productivity. This paper highlights five practices that aid in developing patenting intelligence and empirically verifies to what extent this organizational learning leads to knowledge gains and financial gains realized from consequent higher patent productivity. The model is validated based on the perceptions of professionals with patenting experience from two of the most aggressively patenting sectors in today’s economy, viz., IT and pharmaceutical sectors (n=119). The key finding of our study suggests that although organizational learning from environmental scanning exists, the application of this knowledge for increasing patent productivity lacks due appreciation. This missing link in strategic analysis and strategy implementation has serious implications for managers which are briefly discussed in this paper.

Supervised matching of comments with news article segments

Comments constitute an important part of Web 2.0. In this paper, we consider comments on news articles. To simplify the task of relating the comment content to the article content the comments are about, we propose the idea of showing comments alongside article segments and explore automatic mapping of comments to article segments. This task is challenging because of the vocabulary mismatch between the articles and the comments. We present supervised and unsupervised techniques for aligning comments to segments the of article the comments are about. More specifically, we provide a novel formulation of supervised alignment problem using the framework of structured classification. Our experimental results show that structured classification model performs better than unsupervised matching and binary classification model.

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset

In the design of practical web page classification systems one often encounters a situation in which the labeled training set is created by choosing some examples from each class; but, the class proportions in this set are not the same as those in the test distribution to which the classifier will be actually applied. The problem is made worse when the amount of training data is also small. In this paper we explore and adapt binary SVM methods that make use of unlabeled data from the test distribution, viz., Transductive SVMs (TSVMs) and expectation regularization/constraint (ER/EC) methods to deal with this situation. We empirically show that when the labeled training data is small, TSVM designed using the class ratio tuned by minimizing the loss on the labeled set yields the best performance; its performance is good even when the deviation between the class ratios of the labeled training set and the test set is quite large. When the labeled training data is sufficiently large, an unsupervised Gaussian mixture model can be used to get a very good estimate of the class ratio in the test set; also, when this estimate is used, both TSVM and EC/ER give their best possible performance, with TSVM coming out superior. The ideas in the paper can be easily extended to multi-class SVMs and MaxEnt models.

Sufficient conditions for formation of a network topology by self-interested agents

Networks such as organizational network of a global company play an important role in a variety of knowledge management and information diffusion tasks. The nodes in these networks correspond to individuals who are self-interested. The topology of these networks often plays a crucial role in deciding the ease and speed with which certain tasks can be accomplished using these networks. Consequently, growing a stable network having a certain topology is of interest. Motivated by this, we study the following important problem: given a certain desired network topology, under what conditions would best response (link addition/deletion) strategies played by self-interested agents lead to formation of a pairwise stable network with only that topology. We study this interesting reverse engineering problem by proposing a natural model of recursive network formation. In this model, nodes enter the network sequentially and the utility of a node captures principal determinants of network formation, namely (1) benefits from immediate neighbors, (2) costs of maintaining links with immediate neighbors, (3) benefits from indirect neighbors, (4) bridging benefits, and (5) network entry fee. Based on this model, we analyze relevant network topologies such as star graph, complete graph, bipartite Turan graph, and multiple stars with interconnected centers, and derive a set of sufficient conditions under which these topologies emerge as pairwise stable networks. We also study the social welfare properties of the above topologies.

Gestão do conhecimento estratégico : uma proposta de modelo integrado

Pesquisa focada na definição de um modelo teórico-sistêmico de Gestão do Conhecimento Estratégico (GCE), estando inserida nos estudos da Gestão do Conhecimento (GC) e da Gestão da Informação (GI), considerando conceitos relacionados ao conhecimento (tácito e explícito), a estratégias (perspectivas e abordagens) e aos agentes envolvidos (decisores e estrategistas; novatos e experientes). A construção do modelo se vale de visões da Ciência da Informação, da Administração e da Psicologia Cognitiva. A metodologia empregada utiliza o método abdutivo de pesquisa (uso concomitante dos métodos indutivo e dedutivo), valendo-se da análise bibliográfica (para sustentação teórica do modelo), do estudo comparado (para a avaliação de diferentes modelos de GC e de abordagens e perspectivas estratégicas) e da pesquisa descritiva ou de campo (para validação do modelo junto a profissionais da área em estudo). Os resultados indicam que é possível definir-se um modelo de Gestão do Conhecimento estratégico e que muitos trabalhos podem ser desenvolvidos, derivados da proposta apresentada nesta tese.

La gestión del conocimiento científico-técnico en la universidad: un caso y un proyecto

[ES] Actualmente, las universidades se enfrentan a aumentos en sus necesidades de financiación, cuando el criterio predominante es que los poderes públicos tengan una menor presencia en la misma. Por otra parte, algunos investigadores indican que la Universidad parece estar perdiendo posiciones como centro de generación de conocimiento, el cual, como recurso en s. mismo, este siendo objeto de creciente atención por parte de las empresas y los gobiernos, considerándose le el recurso clave en la consecución de ventajas competitivas. En estas circunstancias, estimamos que la Universidad debe hacer mayores esfuerzos en orientar su investigación a la aplicación del conocimiento científico-técnico, en colaboración con las empresas y las administraciones públicas, como indica el modelo de la triple hélice de Etzkowitz y Leydesdorff. En este trabajo se presenta también como se afronta en la Universidad del País Vasco/Euskal Herriko Unibertsitatea la gestión del conocimiento científico técnico, as. como un proyecto de investigación cuya finalidad consiste en la búsqueda de un modelo de gestión de este conocimiento en el contexto descrito.

Un marco para la evaluación de los factores críticos en el proceso de adopción de I+D externa

[ES] En el entorno actual, la obtención de innovaciones en la gestión, en el producto y en el proceso, resulta una herramienta competitiva fundamental para las empresas. Éstas, para garantizarse fuentes de innovación, deben recurrir a mecanismos de captación y generación de conocimiento. Un mecanismo fundamental a este respecto es la captación de conocimientos del exterior, en especial los de tipo científico y tecnológico.

Maturity and Fecundity in the Rockfishes, Sebastes spp., a Review

Literature was reviewed for data describing fecundity, maturity, and growth in the ovoviviparous genus Sebastes (rockfishes). Assembled data were examined for patterns associated with geographic location and fish length. Rockfishes display great range in length at maturity (9-52 cm total length) and estimated fecundity at maturity (1,700-417,000 eggs or embryos). Within species, length at maturity usually increases at higher latitudes and tends to be greater for females than males. Among species, length at maturity of females is positively and significantly correlated with maximum length and with the ratio of fecundity at maturity to fecundity at maximum length. Fecundity of rockfishes is not notably lower than oviparous fishes such as snappers (Lutjanidae) andcods (Gadidae).

A model for assessing the likelihood of self-sustaining populations resulting from commercial production of triploid Suminoe oysters (Crassostrea ariakensis) in Chesapeake Bay

Culture of a non-native species, such as the Suminoe oyster (Crassostrea ariakensis), could offset the harvest of the declining native eastern oyster (Crassostrea virginica) fishery in Chesapeake Bay. Because of possible ecological impacts from introducing a fertile non-native species, introduction of sterile triploid oysters has been proposed. However, recent data show that a small percentage of triploid individuals progressively revert toward diploidy, introducing the possibility that Suminoe oysters might establish self-sustaining populations. To assess the risk of Suminoe oyster populations becoming established in Chesapeake Bay, a demographic population model was developed. Parameters modeled were salinity, stocking density, reversion rate, reproductive potential, natural and harvest-induced mortality, growth rates, and effects of various management strategies, including harvest strategies. The probability of a Suminoe oyster population becoming self-sustaining decreased in the model when oysters are grown at low salinity sites, certainty of harvest is high, mini-mum shell length-at-harvest is small, and stocking density is low. From the results of the model, we suggest adopting the proposed management strategies shown by the model to decrease the probability of a Suminoe oyster population becoming self-sustaining. Policy makers and fishery managers can use the model to predict potential outcomes of policy decisions, supporting the ability to make science-based policy decisions about the proposed introduction of triploid Suminoe oysters into the Chesapeake Bay.

IS/IT resources and business value: Operationalization of an information oriented framework

Several studies have highlighted the importance of information and information quality in organisations and thus information is regarded as key determinant for the success and organisational performance. In this paper, we review selected contributions and introduce a model that shows how IS/IT resources and capabilities could be interlinked with IS/IT utilization, organizational performance and business value. Complementing other models and frameworks, we explicitly consider information from a management maturity, quality and risk perspective and show how the new framework can be operationalized with existing assessment approaches by using empirical data from four industrial case studies. © 2012 Springer-Verlag.

An information oriented framework for relating IS/IT resources and business value

Several studies have highlighted the importance of information and information quality in organisations and thus information is regarded as key determinant for the success and organisational performance. At the same time, there are numerous studies, frameworks and case studies examining the impact of information technology and systems to business value. Recently, several studies have proposed maturity models for information management capabilities in the literature, which claim that a higher maturity results in a higher organizational performance. Although these studies provide valuable information about the underlying relations, most are limited in specifying the relationship in more detail. Furthermore, most prominent approaches do not or at least not explicitly consider information as important influencing factor for organisational performance. In this paper, we aim to review selected contributions and introduce a model that shows how IS/IT resources and capabilties could be interlinked with IS/IT utilization, organizational performance and business value. Complementing other models and frameworks, we explicitly consider information from a management maturity, quality and risk perspective. Moreover, the paper discusses how each part of the model can be assessed in order to validate the model in future studies.

Analysis of document-mining techniques and tools for technology intelligence: Discovering knowledge from technical documents

This research proposes a method for extracting technology intelligence (TI) systematically from a large set of document data. To do this, the internal and external sources in the form of documents, which might be valuable for TI, are first identified. Then the existing techniques and software systems applicable to document analysis are examined. Finally, based on the reviews, a document-mining framework designed for TI is suggested and guidelines for software selection are proposed. The research output is expected to support intelligence operatives in finding suitable techniques and software systems for getting value from document-mining and thus facilitate effective knowledge management. Copyright © 2012 Inderscience Enterprises Ltd.