El capital social como enfoque teórico en Dirección Estratégica

[EN] The objective of this research paper is to investigate, from a theoretical point of view, the strategic relevance of social capital. In recent years, academic literature in this field has witnessed remarkable growth, recognizing social capital as a key element for companies, due to its contribution to the creation of competitive advantages. However, it might be said that its development is still emerging, given the number of discrepancies among researchers regarding its definition, measurement, and its positive or negative impact on other variables. For this reason, a set of empirical studies that show the social capital effect on diverse types of organizational results have been reviewed, taking as a reference the definition and dimensions proposed by Nahapiet and Ghoshal (1998). Additionally, different theoretical links between social capital and four related Strategic Management approaches are presented, such as the Intellectual Capital-Based View, the Knowledge-Based View, the Resource-Based View and the Dynamic Resource-Based View. A main conclusion drawn from this review is that social capital, being a knowledge-based resource, enables access to both internal and external resources and thus a firm’s competitive advantage and, consequently, its value creation can be generated from the combination of both areas. Going in depth and clarifying this strategic linkage are thus a challenge to address in future studies.[ES] El principal objetivo de este trabajo es mostrar la relevancia estratégica del capital social organizacional desde un punto de vista teórico. En los últimos años, la literatura académica relacionada con este concepto ha experimentado un notable crecimiento, reconociendo que el capital social es un elemento fundamental para que las empresas generen ventajas competitivas. Sin embargo, se podría afirmar que su desarrollo es todavía incipiente al existir multitud de discrepaciancias entre los investigadores acerca de su conceptuación, la medición de sus dimensiones o los efectos positivos o negativos que podría tener sobre otras variables. Por este motivo, tomando como referencia la definición y dimensiones propuestas por Nahapiet y Ghoshal (1998), se ha realizado una revisión de las investigaciones que, de manera empírica, han estudiado las relaciones entre el capital social y distintos tipos de resultados organizacionales. Igualmente, se exponen diferentes nexos teóricos encontrados entre el capital social y los principales enfoques en Dirección Estratégica como son Enfoque Basado en el Capital Intelectual, el Enfoque Basado en el Conocimiento, el Enfoque Basado en los Recursos y el Enfoque Basado en las Capacidades dinámicas. Se concluye que el capital social, como recurso basado en el conocimiento, podría permitir el acceso a otros recursos internos o externos, y que la creación de valor y la generación de ventajas competitivas de una empresa puede provenir de la combinación de ambos ámbitos. Así, futuros estudios deben encaminarse hacia la profundización y clarificación de este nexo estratégico

Social Stability and Extended Social Balance - Quantifying the Role of Inactive Links in Social Networks

Structural balance in social network theory starts from signed networks with active relationships (friendly or hostile) to establish a hierarchy between four different types of triadic relationships. The lack of an active link also provides information about the network. To exploit the information that remains uncovered by structural balance, we introduce the inactive relationship that accounts for both neutral and nonexistent ties between two agents. This addition results in ten types of triads, with the advantage that the network analysis can be done with complete networks. To each type of triadic relationship, we assign an energy that is a measure for its average occupation probability. Finite temperatures account for a persistent form of disorder in the formation of the triadic relationships. We propose a Hamiltonian with three interaction terms and a chemical potential (capturing the cost of edge activation) as an underlying model for the triadic energy levels. Our model is suitable for empirical analysis of political networks and allows to uncover generative mechanisms. It is tested on an extended data set for the standings between two classes of alliances in a massively multi-player on-line game (MMOG) and on real-world data for the relationships between countries during the Cold War era. We find emergent properties in the triadic relationships between the nodes in a political network. For example, we observe a persistent hierarchy between the ten triadic energy levels across time and networks. In addition, the analysis reveals consistency in the extracted model parameters and a universal data collapse of a derived combination of global properties of the networks. We illustrate that the model has predictive power for the transition probabilities between the different triadic states.Comment: 21 pages, 10 figure

Car Travel Time Variability on Links of a Radial Route in London: Results

This working paper describes the results of a study of the variability of travel times and its causes on links of a secti.on of the A41 radial route in north London in the spring and summer of 1987. The objectives were to estimate the extent of variability of travel times of private car users and to explain the observed variability by means of models incorporating a range of traffic factors, including traffic flow, and incorporating seasonal differences. In general the spring was slower and showed more travel time variation between time periods than the summer. slower and more variable links in the spring tended to behave similarly in the summer. The models produced explained around two thirds of the travel time variation between periods, but the explanatory power and explanatory variables differed between links. Blocking of the downstream exit from links was the single variable which was significant in affecting traffic times on most links

Survival through networks: the 'grip' of the administrative links in the Russian post-Soviet context

© 2014 Taylor & Francis. Based on an analysis of the post-Soviet transformation experience of four defence sector organizations in a Russian region where the defence sector occupies a substantial part of the local economy, this article develops a typology of network relationships: Grooved Inter-relationship Patterns (Gr’ip) networks and Fluid Inter-relationship Patterns (Fl’ip) networks. This typology can be applied to a range of transition/emerging market and low system trust contexts. Gr’ip networks, in this case, represent the persisting legacy of the Soviet command-administrative system. Fl’ip networks are here an attempt by the defence companies to link into the civilian supply chains of a developing market economy. This article argues that Gr’ip networks had and still have a crucial role to play in Russian enterprises’ survival and development

Pattern Reification as the Basis for Description-Driven Systems

One of the main factors driving object-oriented software development for information systems is the requirement for systems to be tolerant to change. To address this issue in designing systems, this paper proposes a pattern-based, object-oriented, description-driven system (DDS) architecture as an extension to the standard UML four-layer meta-model. A DDS architecture is proposed in which aspects of both static and dynamic systems behavior can be captured via descriptive models and meta-models. The proposed architecture embodies four main elements - firstly, the adoption of a multi-layered meta-modeling architecture and reflective meta-level architecture, secondly the identification of four data modeling relationships that can be made explicit such that they can be modified dynamically, thirdly the identification of five design patterns which have emerged from practice and have proved essential in providing reusable building blocks for data management, and fourthly the encoding of the structural properties of the five design patterns by means of one fundamental pattern, the Graph pattern. A practical example of this philosophy, the CRISTAL project, is used to demonstrate the use of description-driven data objects to handle system evolution.Comment: 20 pages, 10 figure