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The purpose of this paper is to clarify the underdeveloped conceptualization of a particular type network rents, defined as knowledge recombination rents, related to the possibility for a firm to transfer and recombine knowledge within and across its portfolio of inter-organizational relationships.

Adopting a contingency approach, the authors develop a comprehensive model with propositions drawn from an original synthesis of the extant literature on the management of inter-organizational relationships.

The authors summarize the most important internal and external variables that explain how knowledge recombination rents arise within a firm’s portfolio of inter-organizational relationships. The authors create a seven-proposition model that considers: an “internal fit,” related to internal contingencies of the firm, specifically life stage and its strategy; an “external fit,” related to external contingencies of the network of the firm, specifically past experience and current portfolio structure.

The model is theory driven. Future research should validate empirically the relations proposed, especially in different industries and contexts.

The model, beyond the fact of being theoretically sounded, is also completely practical oriented. Indeed, the authors developed a comprehensive model articulated in seven propositions which relationship managers can easily use to analyze and manage their portfolios of inter-organizational relationships.

The model allows us to assert that the value of an inter-organizational relationship is neither fixed nor just related to the single dyadic interaction; rather before engaging with a relationship is crucial to ponder possible benefits and harms. This is the central element in the contribution that develops an easy-to-use and comprehensive model based on best practices.

We address the following research questions: (1) Is the innovation trajectory of the acquirer affected by previous acquisitions? (2) In which direction knowledge recombination from the acquisition is pushed further? (3) Is the technological acquisition more a means for knowledge exploration and radical innovation or, on the contrary, a way for consolidating previous technological specialization?

The nature of this study is exploratory; therefore, we opted for an inductive approach based on the L'Oréal case study analysis. Data were triangulated from different sources: (a) the L'Oréal website and press releases collected in the 2009–2015 period; (b) journal articles and books on the global cosmetics industry and the insightful work of Jones (2010); (c) the Questel Orbit database containing data on patents; and (d) the Zephyr – Bureau van Dijk database containing information on the acquisitions of firms.

Empirical evidence from a patent data analysis reveals a paradoxical path. On the one hand, acquisitions enable the company to explore new technological spaces; on the other hand, they allow it to reinforce a preexisting technological trajectory, even when the knowledge base of the target is distant from that of the acquirer. Thus, in our case study, the absorption and recombination of knowledge from a variety of domains support specialization more than diversification technology strategies.

We add to innovation management literature a new perspective, by offering a detailed analysis, through patent data, of the knowledge recombination process, led by technological acquisitions.

In this paper we consider the effects of recombination during polarization on passing a current through SiN4 and SiO2. In the literature, some works have been devoted to the problem of the passage of a current through MNOS‐structures. However, these studies related mainly to monopolar injection or bipolar injection but ignored recombination.

This paper aims to examine how multinational enterprises (MNEs) and local partners, including suppliers, customers and competitors in China, improve their innovation capabilities through collaboration. This collaboration was analysed as a three-way interaction between the ownership-specific (O) advantages or firm-specific assets (FSAs) of the MNE subsidiary, the FSAs of the local partner and the location-specific assets of the host location.

The propositions are examined through a survey of 320 firms, supplemented with 30 in-depth case studies, based in Mainland China.

It is found that the recombination of asset-type (Oa) FSAs and transaction-type (Ot) FSAs from both partners leads to new innovation-related ownership advantages, or “recombinant advantages”. Ot FSAs, in the form of access to local suppliers, customers or government networks are particularly important for reducing the liability of foreignness for MNEs.

The study reveals important patterns of reciprocal transfer, sharing and integration for different asset categories (tacit, codified) and different forms of FSA and explicitly links these to different innovation performance outcomes. The paper reports on these findings, making an empirical contribution in an important context (China-based partnerships). This paper also contributes to conceptual developments, connecting various kinds of FSA, tacit and codifiable assets and “recombinant advantages”. Limited conceptual, methodological and empirical contributions are made in linking asset integration with (measurable) innovation performance outcomes in international partnerships.

In evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.

A new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.

The framework is capable of robustly evolving the benchmark behaviors. The memory genome and the number of parents for reproduction highly influence the quality of the results; the recombination operator leads to an improvement in certain parameter combinations only.

Future studies should focus on further improving mutation and recombination. Generality statements should be made by studying more behaviors and there is a need for experimental studies with real robots.

The design of decentralized ER frameworks is improved.

The framework is robust and has the advantage that the resulting controllers are easier to analyze than in approaches based on artificial neural networks. The findings suggest improvements in the general design of decentralized ER frameworks.

Shows how a sensitivity analysis of different mobility models was carried out in order to reach the best fit of simulation results to measured data. Simulated data were compared to both electrical (IV‐characteristics) and optical (excess charge carrier distribution) results. The simulations included both steady state and transient investigations on a temperature scale ranging from room temperature up to 150°C. Concerning lifetimes, a two‐trap Shockley‐Read‐Hall (SRH) recombination model was implemented into the simulation code to be able to model the local lifetime variations of the irradiated samples. At high carrier concentration, the overall dominating recombination process is the Auger process. From experimental data the Auger coefficients seem to be concentration dependent too, and in addition, proposes a temperature dependence to the Auger coefficient.

An energy‐momentum transport model for sub‐micron silicon devices is modified to include new sets of simple interband scattering models representing impact ionization, auger recombination, trapping and photo generation. These have been developed using a simplified physical modelling approach. A discretization scheme suitable for application to an irregular spatial grid is presented. The resulting model is suitable for the study of small geometry effects in silicon devices.

This paper aims to synthesize the literature on embeddedness of MNE subsidiaries, rethinking the concept of “multiple embeddedness” in order to clarify the importance of the subsidiary-specific advantages.

A new and innovative framework based on four key relationships: home country-specific advantages (CSAs)-Headquarters (HQ); HQ-subsidiary; subsidiary-host CSAs; and subsidiary-HQ. This framework is used to discuss the complex phenomenon of “multiple embeddedness”.

The framework proposed sheds light on the subsidiary's need to develop and sustain over time its subsidiary-specific advantages (SSAs) and, where possible, to “upgrade” these SSAs and to integrate them across the entire network of the MNE. The framework is based on two pillars. The first one is the “creation and development” of firm-specific advantages (FSAs) (in the home country) and SSAs (in the host country); the second one is the “transfer” of these advantages from the parent to the subsidiary and vice versa. In addition, several interesting interrelations are found between the four main relationships, and the central role of the recombination capabilities and the importance of distance are highlighted.

This paper is one of the first to develop a framework incorporating all the relevant relationships in multiple embeddedness. The framework is innovative and “embeddedness” is analyzed in a novel way, as many studies only partially analyze this complex phenomenon and neglect one or more of these relationships.

The purpose of this paper is to provide an improved genetic algorithm to solve 0/1 multidimensional knapsack problem (0/1 MKP), by proposing new selection and crossover operators that cooperate to explore the search space.

The authors first present a new sexual selection strategy that significantly improves the one proposed by (Varnamkhasti and Lee, 2012), while working in phenotype space. Then they propose two variants of the two-stage recombination operator of (Aghezzaf and Naimi, 2009), while they adapt the latter in the context of 0/1 MKP. The authors evaluate the efficiency of both proposed operators on a large set of 0/1 MKP benchmark instances. The obtained results are compared against that of conventional selection and crossover operators, in terms of solution quality and computing time.

The paper shows that the proposed selection respects the two major factors of any metaheuristic: exploration and exploitation aspects. Furthermore, the first variant of the two-stage recombination operator pushes the search space towards exploitation, while the second variant increases the genetic diversity. The paper then demonstrates that the improved genetic algorithm combining the two proposed operators is a competitive method for solving the 0/1 MKP.

Although only 0/1 MKP standard instances were tested in the empirical experiments in this paper, the improved genetic algorithm can be used as a powerful tool to solve many real-world applications of 0/1 MKP, as the latter models several industrial and investment issues. Moreover, the proposed selection and crossover operators can be incorporated into other bio-inspired algorithms to improve their performance. Furthermore, the two proposed operators can be adapted to solve other binary combinatorial optimization problems.

This research study provides an effective solution for a well-known non-deterministic polynomial-time (NP)-hard combinatorial optimization problem; that is 0/1 MKP, by tackling it with an improved genetic algorithm. The proposed evolutionary mechanism is based on two new genetic operators. The first proposed operator is a new and deeply different variant of the so-called sexual selection that has been rarely addressed in the literature. The second proposed operator is an adaptation of the two-stage recombination operator in the 0/1 MKP context. This adaptation results in two variants of the two-stage recombination operator that aim to improve the quality of encountered solutions, while taking advantage of the sexual selection criteria to prevent the classical issue of genetic algorithm that is premature convergence.

This paper proposes a new typology of Ownership (O) advantages as a function of their differential managerial implications in established multinational enterprises (MNEs). We argue that the mainstream typology of O advantages proposed in Dunning’s eclectic paradigm does not recognize the uniqueness of individual firms. We therefore propose a new typology of O advantages, which distinguishes among four types, based on the geographic source of such advantages and their transferability across borders. Moreover, we acknowledge the importance of resource recombination advantages. Two case examples illustrate the implications of the new typology for established MNEs.