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The purpose of this paper is to apply a multi‐objective Bayesian artificial immune system (MOBAIS) to feature selection in classification problems aiming at minimizing both the classification error and cardinality of the subset of features. The algorithm is able to perform a multimodal search maintaining population diversity and controlling automatically the population size according to the problem. In addition, it is capable of identifying and preserving building blocks (partial components of the whole solution) effectively.

The algorithm evolves candidate subsets of features by replacing the traditional mutation operator in immune‐inspired algorithms with a probabilistic model which represents the probability distribution of the promising solutions found so far. Then, the probabilistic model is used to generate new individuals. A Bayesian network is adopted as the probabilistic model due to its capability of capturing expressive interactions among the variables of the problem. In order to evaluate the proposal, it was applied to ten datasets and the results compared with those generated by state‐of‐the‐art algorithms.

The experiments demonstrate the effectiveness of the multi‐objective approach to feature selection. The algorithm found parsimonious subsets of features and the classifiers produced a significant improvement in the accuracy. In addition, the maintenance of building blocks avoids the disruption of partial solutions, leading to a quick convergence.

The originality of this paper relies on the proposal of a novel algorithm to multi‐objective feature selection.

The contribution revisits existing research on human impacts on the performance of mergers and acquisitions. Findings are grouped into three categories: individual-, organizational- and managerial-related factors. Results show that while research seems various and abounding, influential factors are often studied as static setting approached in isolation, without measuring their direct relation to post-acquisition outcomes.

This paper builds upon the growing research on both privatization and entrepreneurship and provides a model to predict outcomes of privatization of state‐owned enterprises. Previous research has concentrated on the change in ownership as the principal driver of post‐privatization increases in firm performance and wealth creation. We suggest that structural conditions of the state‐owned enterprise and the privatization process, in combination with characteristics of the new owners, lead to performance changes because they determine the firm’s ability to transform from a state agency to an entrepreneurial organization.

This study aims to examine the association of knowledge-oriented leadership (KOL), knowledge management (KM) behaviour and innovation performance in project-based small and medium-sized enterprises. It investigates the moderation of goal-orientation in the relationship of KOL with knowledge-acquisition, transfer, documentation and application.

Data are collected from 215 employees in 32 small project-based software firms in Pakistan. Partial least square is used to test the hypotheses.

KOL is positively associated with KM behaviour and innovation performance. KM mediates the relationship of KOL and innovation performance. Furthermore, goal orientations play a moderating role in the relationship of KOL with knowledge acquisition, transfer and application activities.

This study extends the literature on knowledge-based dynamic capabilities, by examining the relationship of KOL, KM behaviour and project-based innovation performance. Investigating the moderation of goal-orientation in the relationship of KOL with KM behaviour is also an original contribution.

The main goal of the paper is to explore the origins and developments of the first community cellular network in Mexico.

Data were gathered in 2015 and 2016 through in-depth interviews, participant observation, workshops, photos, official documents, and informal interviews in the state of Oaxaca in southern Mexico. Data was also drawn from the work of two activists, P. Bloom and E. Huerta, working with the community assemblies of a number of Indígena communities: Villa Talea de Castro, Santa María Yaviche, San Juan Yaee, San Ildefonso Villa Alta, San Bernardo Mixetepec, Santa Ana Tlahuitoltepec, San Jerónimo Progreso, Santiago Ayuquililla, San Miguel Huautla, Santa Inés de Zaragoza, Santo Domingo Xagacia, San Pablo Yaganiza, San Pedro Cajonos, San Francisco Cajonos, San Miguel Cajonos, San Mateo Cajonos, Santa María Alotepec, and San Juan Tabaá. To analyze the data, using codes created in Atlas.TI and relying on an inductive approach, we analyzed the history of this network within a theoretical framework informed by Actor-Network Theory.

Participants in the enactment of this cellular network followed two programs of actions, one technical and one legal. Together, the community assemblies and activists took advantage of available devices, free software and ordinary computers, on the one hand, and communal rules, national laws, constitutional reforms and tacit knowledge, on the other hand. They brought about a new, non-profit, communitarian, and self-organized network that allows for inexpensive communication between members of small, marginalized Indígena communities in the state of Oaxaca in Mexico.

The arrangement of actants that the case illustrates is replicable in other parts of the country and outside of Mexico. The new community cellular network reduces the economic costs of communication, facilitates some jobs and family bonds, expands the range of community-owned projects, encourages self-organization and ways of situated conflict resolution, and empowers communities in relation to external powerful telecommunication corporations.

This is a novel account of a highly unusual set of community-led institutional innovations based on firsthand information drawn from the main actants of the new network.

The purpose of this paper is to develop a case study of niche governance to analyze the governance of rainwater systems in the Amazon.

A visualization of the interactions of stakeholders was made with the use of social network analysis, where data were collected through interviews to experts from the region. A framework based on niche management and the safe, resilient and sustainable (Safe and SuRe) principles were used to interpret the results.

The work identifies key players and issues influencing governance for the implementation of rainwater systems; and capture of decision-making powers by agents making evident redundancies in the management of rainwater in the region; highlighting issues of lack of inclusion in the decision-making process, planning and implementation; threatening the sustainability, resilience and governance of rainwater systems in Belem.

Methodologically, this work is the first of its kind for the amazon and contributes to the exploration of tools and frameworks to assess governance in the implementation of rainwater systems.

The purpose of this is to explore the potential of the combined use of the viable system model (VSM) and social network analysis (SNA) to identify organizational pathologies.

Using a well-documented case study based on an academic consultancy intervention and Action Research Project, participative methods for the diagnostic of the VSM and questionnaires for the collection of connectivity data for the SNA were used to develop a heuristic to integrate these two tools and identify organizational pathologies.

This study provides empirical evidence of the benefits of the combined use of SNA to enhance the identification of organizational pathologies in VSM interventions, by providing an additional qualitative and quantitative framework for the interpretation of findings coming from VSM organizational diagnostics.

This work explores some analytic routines of SNA frequently used in management. The validation is constrained to the nature of the data set from a case study. The document invites to a discussion of further and more advanced applications on the integration of the VSM and SNA.

The enhanced identification of organizational pathologies can contribute to the emerging new interest in applications of the VSM in management, providing robustness to the structural analysis of organizations.

This paper proposes a guideline to exploit the potential of the combined use of SNA and VSM. It opens new avenues for the study of organizational pathologies.

The purpose of this paper is to analyse the convenience of the Viable System Model (VSM) as a framework to guide organisational adaptive response and resilience in times of instability and change.

A thought experiment based on the case study of an eco-village where a project based on action research was conducted following the introduction of the VSM.

This paper provides evidence of the efficacy of the VSM and its recursive structure to facilitate resilience and organisational adaptation and provides evidence of its advantages over conventional management tools to deal with uncertainty in complex environments.

Based on a case study, the scope of this paper is limited and context specific. The comparison of tools is also limited to the ones related to the allocation of resources aiming to provide resilience, viability and adaptive response to critical events, used by the observed community.

The case study invites to revisit and discuss the fitness of conventionally used management tools to cope with complexity – from an organisational perspective.

This paper invites to a reflection on the nature of dominant management tools used in contemporary management to cope with complexity. This paper provides insights on the value of organisational cybernetics and its capability to guide organisations in times of instability and change while facilitating resilience and adaptation through the management of variety.

Despite the extensive research on the determinants and consequences of firm growth, research focusing on how the actual process unfolds is still evolving. An important part of firm growth process research is entrepreneurial cognition. The purpose of this chapter is to explore the relationship between entrepreneurial cognition and firm growth intentions. Specifically, we propose a theoretical model of entrepreneurial cognitive interpretation and categorization of market information as it relates to firm growth intentions. Drawing from the strategic cognition literature in general and strategic issue interpretation literature in particular, we propose that entrepreneurs’ interpretation of market information as opportunity or threat, gain or loss, and controllable or uncontrollable influences their firm growth intentions. Furthermore, our theoretical model discusses the condition under which favorable interpretation of market information leads to higher growth intentions by incorporating insights from the Entrepreneurial Orientation (EO) construct. This chapter extends our understanding of firm growth processes by highlighting the important role cognitive interpretation and categorization play in facilitating or hindering entrepreneurial firm growth.