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The purpose of this paper is to propose an interpolation-based projection framework for model reduction of quadratic-bilinear systems. The approach constructs projection matrices from the bilinear part of the original quadratic-bilinear descriptor system and uses these matrices to project the original system.

The projection matrices are constructed by viewing the bilinear system as a linear parametric system, where the input associated with the bilinear part is treated as a parameter. The advantage of this approach is that the projection matrices can be constructed reliably by using an a posteriori error bound for linear parametric systems. The use of the error bound allows us to select a good choice of interpolation points and parameter samples for the construction of the projection matrices by using a greedy-type framework.

The results are compared with the standard quadratic-bilinear projection methods and it is observed that the approximations through the proposed method are comparable to the standard method but at a lower computational cost (offline time).

In addition to the proposed model order reduction framework, the authors extend the one-sided moment matching parametric model order reduction (PMOR) method to a two-sided method that doubles the number of moments matched in the PMOR method.

The Reduced Basis Method (RBM) generates low-order models of parametrized PDEs to allow for efficient evaluation of parametrized models in many-query and real-time contexts. The purpose of this paper is to investigate the performance of the RBM in microwave semiconductor devices, governed by Maxwell's equations.

The paper shows the theoretical framework in which the RBM is applied to Maxwell's equations and present numerical results for model reduction under geometry variation.

The RBM reduces model order by a factor of $1,000 and more with guaranteed error bounds.

Exponential convergence speed can be observed by numerical experiments, which makes the RBM a suitable method for parametric model reduction (PMOR).

University reforms have been pervasive in European higher education over decades. Analyses of these reforms are still incomplete, however. To find a more comprehensive approach in explaining the relentless transformation of public universities, this paper suggests a novel, interactionist point of view. Drawing on ideational aspects of universities as institutions, the paper first explores the differentiation of basic, influential ideas of change. A recently developed typology is then used to further elaborate upon the composition and relation of these ideas. Finally, evidence is provided that supports a non-linear dynamic consisting of reciprocal influences, which overall indicates a recursive contingency between institutional context and coexistent frames of change.

Presents a review on implementing finite element methods on supercomputers, workstations and PCs and gives main trends in hardware and software developments. An appendix included at the end of the paper presents a bibliography on the subjects retrospectively to 1985 and approximately 1,100 references are listed.

The competitive arena in business environments has changed in many ways. The globalization of markets, rapid technological change, shortening of product life cycles, and the increasing aggressiveness of competitors require firms to respond flexibly and rapidly (Grant, 1996; Volberda, 1996). Not just fast-moving, high-tech industries have been facing these changes; even industries that were supposed to be stable are heating up (D’Aveni, 1994). As competition intensifies and the pace of change accelerates, firms are increasingly confronted with a tension between exploiting existing competences and exploring new ones (Floyd & Lane, 2000; Levinthal & March, 1993; March, 1991). Firms seek to adapt to environmental changes, explore new ideas or processes, and develop new products and services for emerging markets. In addition, they need stability to leverage current competences and exploit existing products and services (Benner & Tushman, 2003; Sanchez & Heene, 1996).

This paper aims to enhance the understanding of the essence of product innovation capability (PIC) as a dynamic capability by systematically assessing its conceptualization and construct validity. The paper answers the call by numerous researchers to undertake research efforts to better understand and operationalize dynamic capability constructs.

A priori and scholarly contentions based on complementarities between the tenets of three prominent frameworks (Dynamic Capability View, Process Management and Organizational Ambidexterity) were utilized for conducting a theoretical triangulation, as presented in the paper. Established approaches to explication and measurement of multi-dimensional latent constructs were used for guiding this paper.

This paper enhances the conceptualization of dynamic capabilities and identifies a lacuna in frequently adopted PIC operationalization approaches that is pertinent to other dynamic capabilities. It presents substantive and specific prescriptions for enabling the development of superior capability (both dynamic and operational) measurement models in empirical research.

The diverse implications for research and practice are discussed in the paper alongside suggestions for future research.

This paper guides future theoretical and empirical research by reviewing the conception and validity of PIC. It presents a comprehensive conception of dynamic capabilities by extending the dynamic capability definition to address the identified problems. The arguments presented have wide-ranging applications and broad generalizability across multiple research fields.

Establishing a competitive advantage in today's dynamic environment involves optimizing an organization's exploration and exploitation strategy. This paper aims to explore how an open innovation strategy complements the organization's ambidextrous strategy in attaining a competitive advantage. Organizational ambidexterity and dynamic capability theories are also explored to investigate the impact of open innovation on the organization's ambidextrous strategy and competitive advantage – especially inbound and outbound open innovation.

The authors conducted a systematic literature review using Boolean search techniques, which was focused on the research fields of the sub-areas of general management, strategy, innovation, organization studies, information management, entrepreneurship, international business, marketing, and economics, supplemented by the snowball technique.

Organizations that combine their ambidextrous strategy with open innovation attributes achieve a competitive advantage through developing their dynamic capabilities by which organizations change their value proposition. This study also shows that an ambidextrous strategy should no longer be viewed as a structural solution implemented by management, but also as a bottom-up intervention. Additionally, the authors found that the organization's dynamic capabilities establish a feedback loop, which changes the organization's ambidextrous strategy to resolve the efficiency–agility paradox.

Previous research has focused on strategic orientation; however, hardly any research has investigated how the interrelatedness of open innovation, organizational ambidexterity and dynamic capabilities support a competitive advantage. The authors present a conceptual model that inspires new research avenues.

This study sets out to examine the relationship between firms' learning orientation and network collaboration. The aim is to investigate how learning orientation enhances network collaboration and to discuss the role of the co‐innovation focus in the learning orientation‐network collaboration relationship.

Based on a partial least squares (PLS) structural equation modeling analysis of 90 small and medium‐sized industrial firms (SMEs), the study tests hypotheses regarding how two diverse learning orientations – i.e. exploration and exploitation – precede firms' network collaboration.

The analysis shows that learning drives firms' co‐innovation focus in terms of product and process co‐innovation. In particular, the explorative learning orientation is found to foster firms' network collaboration through product co‐innovation. Exploitative learning orientation promotes process innovations but discourages networking.

A key implication for business practitioners is the understanding that SMEs' explorative learning approaches drive their network collaboration. The development of novel product innovation calls for learning with partners in inter‐organizational networks, whereas process improvements rely on the firm's intra‐organizational learning.

The paper provides evidence of the connection between firms' learning orientation, co‐innovation focus, and networking. Thus, it contributes to the literature on organizational learning, innovation management, and business networks by explicating how learning drives a firm's networking through its co‐innovation focus.