Cognitive resilience in Emergency Room operations: A theoretical framework.

System resilience implies practitioners\u2019 capacity to cope with unexpected events, i.e. cognitive resilience. To address it, we outline a framework based on the Skill-Rule-Knowledge model grounding it in the operators\u2019 sensitivity to the variety that normally occurs in complex systems activities. This variety can hide information enabling the organization to be proactive and to manage unexpected events. Each situation can be described with a SRK profile, according to the cognitive processes necessary to control it. Operators\u2019 reliability can therefore be analyzed by evaluating the match between their cognitive SRK profile and that demanded by the current situation. System resilience is ensured by the capacity of operators to: (i) choose the most suitable cognitive level; (ii) freely move along these levels according to the situation; (iii) be mindful towards variety; (iv) transfer their personal mindfulness into group dynamic adaptation. The outcome of these behaviors is a balance of mindfulness (constant attention to anomalous signals) and dynamic adaptation (organizational adjustment of existing rules according to the new information). This continuous equilibrium between chaos and order is the strategy followed by adaptive complex systems in order to evolve and can be successfully applied to high-risk organizations to enhance the emergence of resilient behaviors

The impact of information technology resources on SMEs' innovation performance

This work aims to develop a research framework to examine the impact of information technology resources on the innovation performance of Saudi small-and-medium enterprises (SMEs). SMEs innovation capability influences growth and technological progress (Bruque & Moyano, 2007). However, many developing countries exhibit moderate or even low innovation performance. For instance, Saudi Arabia is ranked 54th by the Global Innovation Index (GII 2011). Innovation systems studies focus on the alignment between the interactions of innovation actors with their constantly changing environment toward better innovation performance (Etzkowitz & Leydesdorff, 2000). The dynamic capabilities of organisations have been highlighted as a crucial characteristic that helps to achieve a sustainable competitive advantage (Teece et al., 1997). The indirect impact IT resources on innovation performance represents an attractive research area (Benitez-Amado et al., 2010). Therefore, we argue that a closer look at Saudi SMEs information technology resources and their impact on the firm dynamic capabilities and innovation performance would make a significant contribution to existing knowledge. Areas such as the organisation strategies of developing countries, innovation management, dynamic capabilities, open innovation and strategic information systems are few examples of areas that might benefit from this work

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

Overview of methods to analyse dynamic data

This book gives an overview of existing data analysis methods to analyse the dynamic data obtained from full scale testing, with their advantages and drawbacks. The overview of full scale testing and dynamic data analysis is limited to energy performance characterization of either building components or whole buildings. The methods range from averaging and regression methods to dynamic approaches based on system identification techniques. These methods are discussed in relation to their application in following in situ measurements: -measurement of thermal transmittance of building components based on heat flux meters; -measurement of thermal and solar transmittance of building components tested in outdoor calorimetric test cells; -measurement of heat transfer coefficient and solar aperture of whole buildings based on co-heating or transient heating tests; -characterisation of the energy performance of whole buildings based on energy use monitoring

Modelling dynamic decision making with the ACT-R cognitive architecture

This paper describes a model of dynamic decision making in the Dynamic Stocks and Flows (DSF) task, developed using the ACT-R cognitive architecture. This task is a simple simulation of a water tank in which the water level must be kept constant whilst the inflow and outflow changes at varying rates. The basic functions of the model are based around three steps. Firstly, the model predicts the water level in the next cycle by adding the current water level to the predicted net inflow of water. Secondly, based on this projection, the net outflow of the water is adjusted to bring the water level back to the target. Thirdly, the predicted net inflow of water is adjusted to improve its accuracy in the future. If the prediction has overestimated net inflow then it is reduced, if it has underestimated net inflow it is increased. The model was entered into a model comparison competition-the Dynamic Stocks and Flows Challenge-to model human performance on four conditions of the DSF task and then subject the model to testing on five unseen transfer conditions. The model reproduced the main features of the development data reasonably well but did not reproduce human performance well under the transfer conditions. This suggests that the principles underlying human performance across the different conditions differ considerably despite their apparent similarity. Further lessons for the future development of our model and model comparison challenges are considered

Dynamic capabilities and knowledge management: an integrative role for learning?

Modern strategic management theories try to explain why firms differ, because new sources of competitive advantage are keenly sought in the dynamic and complex environment of global competition. Two areas in particular have attracted the attention of researchers: the role of dynamic capabilities, and the firm's abilities for knowledge management. In this paper, we argue that there is a link between these two concepts, which has not been fully articulated in the literature. The aim of the paper is therefore to ascertain the conceptual connection between them as a basis for future research. Our proposed framework acknowledges and critiques the distinct roots of each field, identifies boundaries, and proposes relationships between the constructs and firm performance