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The paper aims to use part of the distributed cognition literature to study how employees cope with organizational plasticity, in an attempt to identify the characteristics of cognitive plasticity.

Evidence is collected by designing and implementing an agent-based computational simulation model (the IOP 2.0) where employees have the option to use external resources and the social environment to perform tasks. As plasticity is more effective when change and uncertainty are high, the simulation features an increase in the difficulty and number of tasks to which employees need to cope.

Cooperation and sharing of competence and ability are key to cognitive plasticity. Being able to master the use of some resources, together with other employees’ competencies, make some achieve the most efficient task performance.

The findings suggest that under conditions of change and plasticity, human resource management (HRM) shall attempt to develop measures to support employees' cognitive skills necessary to cope with it, for example, mostly through diagnosis, training and facilitating on-the-job dialogue.

This is the first study that attempts a merger between organizational cognition and plasticity, and it is the first to match its results to HRM policy recommendations.

The article examines strategies of human resource management in the absence of institutional hedging by norm-enforcing institutions such as a state monopoly of violence by using case studies of criminal organizations. This condition provides a test-bed for studying the effects of human relations management strategies on organizational performance.

For this purpose, a case study methodology is applied. Three cases are selected to build a scale from complete plasticity of an undifferentiated network via a status differentiated gang to a hierarchical organization that provides social positions. The case studies are analysed by qualitative content analysis, network analysis and agent-based simulation.

An undifferentiated network based on informal trust lacks mechanisms for conflict resolution. This is a highly vulnerable organizational structure. While a status differentiated gang is more resilient towards internal conflicts, its activities remain dependent on individually accumulated social capital. This organizational structure is not resilient over generations of actors. A hierarchical organization provides highest degree of structural resilience up to a level of a system of self-organized criticality.

The study of human relations management outside the legal world provides insights into the basic mechanisms and functional effects of organizational activity.

The purpose of this paper is to explore what organizational adaptability means in the digitized context and to discuss how manufacturing companies achieve organizational adaptability during the digital transformation process.

By conducting semi-structured interviews and acquiring archive data from a typical Chinese manufacturing company, this paper gathers extensive data. Based on this, a single-case study methodology is used to investigate organizational adaptability in digital transformation.

This study identifies the process by which companies achieve organizational adaptability during digital transformation and deconstructs organizational adaptability into three dimensions: structural adaptability, operational adaptability and governance adaptability. This study also explores how organizational adaptability is affected by digital capabilities.

This study proposes a process model to demonstrate how organizational adaptability may be attained during digital transformation and redefines organizational adaptability in the context of digitization.

The ability for an organisation to adapt and respond to external pressures is a beneficial activity towards optimising efficiency and increasing the likelihood of achieving set goals. It can also be suggested that this very ability to adapt to one's surroundings is one of the key factors of resilience. The nature of dynamically responding to sudden change and then to return to a state that is efficient may be termed as possessing the characteristic of plasticity. Uses of agent-based systems in assisting in organisational processes may have a hand in facilitating an organisations' plasticity, and computational modelling has often been used to try and predict both agent and human behaviour. Such models also promise the ability to examine the dynamics of organisational plasticity through the direct manipulation of key factors. This paper discusses the use of such models in application to organisational plasticity and in particular the relevance to human behaviour and perception of agent-based modelling. The uses of analogies for explaining organisational plasticity is also discussed, with particular discussion around the use of modelling. When the authors consider the means by which the authors can adopt theories to explain this type of behaviour, models tend to focus on aspects of predictability. This in turn loses a degree of realism when we consider the complex nature of human behaviour, and more so that of human–agent behaviour.

The methodology and approach used for this paper is reflected in the review of the literature and research.

The use of human–agent behaviour models in organisational plasticity is discussed in this paper.

The originality of this paper is based on the importance of considering the human–agent-based models. When compared to agent-based model approaches, analogy is used as a narrative in this paper.

This viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community.

The authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation.

The PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering.

Through information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.

The purpose of this paper is to explore possible connections between brain functioning and quality management.

Five central principles regarding brain functioning according to neuroscience are conceptually described and related to principles and major concepts in quality management with a special emphasis on Deming’s system of profound knowledge.

The principles are shown to be related in a profound way. The first principle of coherence is closely related to appreciation for a system. The principle of homeostatic feedback loops concerns events that disturb the equilibrium of a system and is related to knowledge about variation. Neural plasticity is related to a theory of knowledge. The last two principles involve emotional and cognitive contributions to decision-making. They are closely related to the element psychology and one of them could lead to a further development of Deming’s system of profound knowledge.

The paper adds to the understanding of the role brain integration has for success in quality management efforts. A limitation is that it is difficult to localise higher-order thinking in brain function. Nonetheless, the research is indicative and provocative as a window to stimulate research into the fundamental basis of quality management success.

The findings provide a deeper understanding of profound knowledge in quality management through relating it to how the brain is functioning, which is of value for quality managers and leaders striving for excellence for their organisations.

The connection of brain principles with Deming’s profound knowledge has not been elaborated in the literature before.