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This paper introduces a systems‐based methodology for conducting analysis of organizational structure for health care operations. Increasingly, health care organizations must operate in turbulent environments characterized by rapid change, high levels of uncertainty, and increasing levels of complexity. A fundamental issue for effective performance in these environments is the development and maintenance of organizational structures that simultaneously provide both operational stability and agile response to environmental turbulence. Drawing from systems science, a systems‐based methodology for structural analysis of healthcare operations is developed. This methodology identifies operational deficiencies stemming from inadequate organizational structure and suggests focal areas for structural modification. The results from an application of the methodology in a health care organization are examined. Implications and limitations for use of the methodology by health care professionals are provided.

This chapter provides a comprehensive, yet, concise overview of the existing debates on policy networks. The aim of the chapter is to identify those mechanisms that encourage network collaboration among several stakeholders with different motivations, interests, and preferences throughout different stages of policy making from agenda setting to policy evaluation. A systematic review of previous studies on policy networks across various countries highlights the achievements and missing links in the literature, and at the same time, reveals three sets of causal mechanisms, which are crucial to understand Network Collaborative Capacity (NCC) along the structural, relational, and institutional dimensions. Structural and relational mechanisms explain the internal dynamics of a policy network; whereas institutional mechanisms consist of all those external factors in the broader political and economic environment within which the network is embedded. Structural, relational, and institutional mechanisms are further classified into constituting elements that serve as a blueprint for organizing and managing collaborative efforts at the network level. Ultimately this chapter contributes to the existing governance debates by offering an integrated framework for the study of NCC across country cases and policy sectors. Turkish health sector represents a case study to assess the applicability of this framework beyond the context of advanced industrialized economies and democracies with a tradition in collaborative policy making. Finally, the added value of comparative network analysis at the national and sub-national levels will be discussed.

The purpose of this study, is to deals with capacity design (strong column – weak beam) in reinforced concrete frames, slightly slender, which depends on the determination of a capacity ratio necessary to reach a structural plastic mechanism. To find the capacity ratio allowing to achieve a fairly ductile behavior in reinforced concrete frames, it is necessary to validate this concept by a non-linear static analysis (push-over). However, this analysis is carried out by the use of the ETABS software, and by the introduction into the beams and columns of plastic hinges according to FEMA-356 code.

This approach makes it possible to assess seismic performance, which facilitates the establishment of a system for detecting the plasticization mechanisms of structures. It is also necessary to use a probabilistic method allowing to treat the dimensioning by the identification of the most probable mechanisms and to take only those that contribute the most to the probability of global failure of the structural system.

In this study, three reinforced concrete frame buildings with different numbers of floors were analyzed by varying the capacity ratio of the elements. The results obtained indicate that it is strongly recommended to increase the ratio of the resistant moments of the columns on those of the beams for the Algerian seismic regulation (RPA code), knowing that the frameworks in reinforced concrete are widespread in the country.

The main interest of this paper is to criticize the resistance condition required by RPA code, which must be the subject of particular attention to reach a mechanism of favorable collapse. This study recommends, on the basis of a reliability analysis, the use of a capacity dimensioning ratio greater than or equal to two, making it possible to have a sufficiently low probability of failure to ensure a level of security for users.

The purpose of this paper is to integrate the literature on learning in the context of boundary spanning innovation in supply chains. A two-dimensional framework is proposed: the learning stage (exploration, assimilation, exploitation) and the learning facet (structural, cultural, psychological and policy). Supply chain management (SCM) practices are examined in light of this framework and propositions for further empirical research are developed.

In total, 60 empirical papers from the major journals on supply chain relationships published over an 11-year time span (2000-2010) were systematically analyzed.

The paper reveals a comprehensive set of best practices and identifies four gaps for future research. First, assimilation and exploitation are largely ignored as mediating learning stages between exploration and performance. Second, knowledge brokers and reputation management are key mechanisms that foster assimilation. Third, the iteration from exploitation back to exploration is critical though underdeveloped in efficiency seeking supply chains. Fourth, the literature stresses structural mechanisms of learning, at the expense of a more holistic view of structural, cultural, psychological and policy mechanisms.

The search could be extended to other journals that report on joint learning and innovation.

The framework provides guidelines for practitioners to develop learning capabilities and leverage the knowledge from supply chain partners in order to continuously or radically improve boundary spanning processes and products.

The study is multi-disciplinary; it applies a model developed by learning scholars to the field of SCM.

This chapter describes two change efforts involving participatory action research within the pharmacy operations division of Kaiser Permanente. Focus is on a parallel learning mechanism that has been used to support communications and change during two large-scale information technology interventions. It begins with basic background information on participatory action research in organizations. Since the case setting is Kaiser Permanente, the chapter provides some information on the U.S. healthcare industry context and then shifts to Kaiser’s communication forum, a learning mechanism that has been in place for 35 years. Cognitive, structural, and procedural aspects of the learning mechanism are explored, and the chapter features interviews with some of the key forum players. Both in the forum’s infancy and in its current more institutionalized state, the pharmacy organization has been in crisis. Implications for the use of parallel learning structures on a long-term basis to support long-term participatory action research are explored along with contributions to theory on insider/outsider action research.

Describes how IS (information systems) units are currently applying balancing mechanisms to help them address the limitations of organizational structure. IS units require organizational structures that both facilitate partnerships with business unit clients and enable tight co‐ordination of computing platforms to strengthen the technology infrastructure. For years, IS executives have recognized that the structure that best supports each objective is counterproductive for the other objective. Thus, they have periodically undertaken major restructuring, which has the effect of alternating between the objectives rather than addressing them simultaneously. Today’s IS executives, however, are increasingly attempting to achieve partnership and infrastructure development simultaneously by implementing balancing mechanisms: structural overlays and process enhancements that leverage the strengths of an existing organizational structure while compensating for its limitations. Balancing mechanisms enable the IS function to work towards those dual IS management goals simultaneously, as well as to respond more quickly to today’s competitive environment. Also describes individual balancing mechanisms used in Fortune 500 firms and a strategy for implementing suites of mechanisms to achieve IS management goals.

The purpose of this paper is to develop the concept of a high performance alliance macro-culture as a multilevel construct reflective of resilient collaborative systems of exchange within strategic alliances and explores the distinct capabilities of this multilevel approach in predicting alliance outcomes.

The hypotheses developed in this study are tested using primary data collected from 650 members of 15 non-profit organizations in two multi-organizational collaborative networks. Considering the multilevel nature of the study the structural hypotheses are tested using a multilevel confirmatory factor analysis and the predictive hypotheses are tested using multilevel structural equation modeling.

All but one structural hypothesis are supported and all predictive hypotheses are supported suggesting that a multilevel macro-cultural conceptualization is effective in exploring the relationship between collaborative exchange systems and their outcomes.

Limitations stem from the generalizability of the data collected as the alliances formed by non-profit firms may not be wholly reflective of the alliance structures and goals of other firm types.

This study primarily contributes to multilevel study of strategic alliances and the study of collaborative norms and structures of allied groupings. The results of this study lend support to the importance of taking a network governance perspective and illustrate the limitations of traditional single-level approaches when studying interfirm collaborative networks and structural resilience therein.

The purpose of this paper is to provide empirical evidence of open innovation mechanism specific to aesthetic innovation. Prior research have drawn its research attention to technological innovation and focussed on the biopharmaceutical and technological sectors as the main research contexts. Thus, to gain a wider picture of the structural characteristics of innovation ecosystem, this paper aims to complement the existing technological-centred literature and provides understanding of aesthetic innovation by focussing on exploring the role of actors and intermediaries in either facilitating or inhibiting innovation in the creative sector.

This is an exploratory study and the qualitative method was employed. With aim to explore aesthetic innovation in the creative sector, this research grounded its context in the UK designer fashion sector, which is part of the creative industries. Data were collected through a series of semi-structured interviews with respondents being purposely selected so as to ensure representativeness. A wider range of participants within the designer fashion sector was covered. Such multiple-sourced data collection approach allowed this research to triangulate data so that research trustworthiness was enhanced.

The result suggests the role of a broker in beyond traditionally facilitating knowledge exchange. This paper provides empirical evidence regarding the critical role of a broker in shaping the open innovation mechanism when it comes to aesthetic innovation. A broker in fact occupies a strategic position that allows it to negotiate relationships among the connected organisations and thus to govern the interaction mechanism of the innovation ecosystem as a whole. Given the empowered broker in such setting, the relationship between innovation creators and innovation seekers is controlled by a broker, which leads to risk that an innovation creator may not fully appropriate the value that it creates.

The main limitation of this study is its specific context, that is, the UK designer fashion industry. Such focus limits the scope of generalisation particularly its application to the entire creative sector. Thus, it is suggested that future research may consider to explore other creative industries so that the understanding of the open innovation mechanism from a structural perspective applied to aesthetic innovation can be enhanced.

This paper outlines the structural mechanism of open innovation applied to aesthetic innovation. The result contributes to the literature by complementing the findings derived from technology-centred research. Also, empirical evidence of this study is particularly of value to policy makers in the aspect of creative sector development. The suggested implications provide strategies of innovation ecosystem that could benefit individual actors involved in this open innovation setting and ensure prosper of the sector as a whole.

Why do some ventures grow to become dominant market players while most new ventures that do not fail limp along more modest trajectories? In comparison with our knowledge regarding determinants of venture creation or survival, the phenomenon of venture growth has been relatively neglected, both theoretically and empirically. Venture growth is a multi-level phenomenon co-occurring at different analytical and temporal levels. In this chapter we develop a theoretical model that accounts for venture growth as a process, drawing upon the mechanism-based theorizing approach. We offer nine social mechanisms that lead to venture growth, providing a foundation for empirical exploration and further theory building.