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Strategy scholars have long argued that breakthrough innovation is generated by recombining knowledge from distant domains. Even if firms have the ability to access and absorb knowledge from distant domains, however, they may fail to pay attention to such knowledge because it is seemingly irrelevant to their tasks. We draw attention to this problem of knowledge relevance and develop a theoretical model to illuminate how ideas from seemingly irrelevant (i.e., peripheral) domains can generate breakthrough innovation through the cognitive process of analogical reasoning, as well as the conditions under which this is more likely to occur. We situate our theoretical model in the context of teams in order to develop insight into the microfoundations of knowledge recombination within firms. Our model reveals paradoxical requirements for teams that help to explain why breakthrough innovation is so difficult.

This chapter introduces the specifics of spirituality-centric management practices in service and operation focused industries. Strategic management practices are often challenged by the human factor of businesses. Consequently, businesses often waver with the fulfillment of their strategic goals and face harmful repercussions. Subsequently, strategic leadership plays a crucial role in the advancement of incorporating spirituality in the workplace and cultivating a perception of the spiritual domain at the individual, team, and organizational levels. To succeed, organizations need to overcome the challenges pertaining their members' retainment and wellness. This is because members often act on their emotional, moral, and ethical concerns that are pillared by their spirituality-centric views on colleagues and management. As the overarching term, workplace spirituality has been linked with organizational learning, togetherness, sense of nurturement, and interpersonal fulfillment with tasks and often coincidences with managerial application of strategic approaches. For the synthesis of service focused businesses, authors exemplify studies within tourism and hospitality industries.

The purpose of this paper is to devise a tool based on computational fluid dynamics (CFD) and machine learning (ML), for the assessment of potential airborne microbial transmission in enclosed spaces. A gated recurrent units neural network (GRU-NN) is presented to learn and predict the behaviour of droplets expelled through breaths via particle tracking data sets.

A computational methodology is used for investigating how infectious particles that originated in one location are transported by air and spread throughout a room. High-fidelity prediction of indoor airflow is obtained by means of an in-house parallel CFD solver, which uses a one equation Spalart–Allmaras turbulence model. Several flow scenarios are considered by varying different ventilation conditions and source locations. The CFD model is used for computing the trajectories of the particles emitted by human breath. The numerical results are used for the ML training.

In this work, it is shown that the developed ML model, based on the GRU-NN, can accurately predict the airborne particle movement across an indoor environment for different vent operation conditions and source locations. The numerical results in this paper prove that the presented methodology is able to provide accurate predictions of the time evolution of particle distribution at different locations of the enclosed space.

This study paves the way for the development of efficient and reliable tools for predicting virus airborne movement under different ventilation conditions and different human positions within an indoor environment, potentially leading to the new design. A parametric study is carried out to evaluate the impact of system settings on time variation particles emitted by human breath within the space considered.

Organizational competences are essential sources of competitive advantage and thus are key drivers of competitive strategies for knowledge-intensive companies like automotive manufacturers. In order to cope with increasing market complexity and dynamism, reduced development times, and relentless cost pressures in a highly competitive environment, knowledge-driven companies need to understand how to be proactive in building and leveraging the competences they will need to be successful in the future, especially within their product development activities.

To help managers become proactive in identifying and building useful future competences, the dynamic and systemic perspectives of competence-based strategic management provide a framework for analysis that can help managers to look beyond their organization’s current competences and identify organizational competences that will be needed in the future. Competence theory emphasizes that an organization’s competences are dynamic and constantly need to be updated and reconfigured to adjust to the competitive dynamics of an industry. Any methodology for identifying future competence needs must begin with some means for identifying strategic gaps between the competences a firm has now and the competences it will need in the future. This paper describes a technology and market roadmap-based methodology for forecasting a firm’s future competence needs – the competences a firm will need to start developing now in order to meet expected market demands in the future. The methodology proposed here is applied and, we believe, validated through application to a competence planning process in a German luxury car manufacturer.

This paper introduces a conceptual framework to assess the foreign market entry behavior of emerging market multinationals (EMMs). By introducing strategic cognition as the underlying theoretical perspective, this paper postulates that different levels of institutional voids in home markets shape the strategic cognition of EMMs, influencing their market entry behavior due to the prevalence of organizational imprinting in the early stages of internationalization. The paper aims to contribute to the strategic cognition literature by introducing emerging markets as a relevant context in which to apply and extend current thinking. Additionally, it aims to contribute to the institutional voids literature by providing a cognitive framework of behavioral patterns that is rationalized by institutional voids. Finally, the paper contributes to the entry mode literature by proposing strategic cognition as a relevant moderator for foreign entry mode choices, particularly those of EMMs.

The goal of this study was to examine individual, relational, and organizational determinants of negotiation behavior (problem solving, contending, yielding, and avoiding) between planning and marketing departments in manufacturing organizations. Results from a study among 41 managers and 85 planning and marketing employees within 11 firms showed that individual personality, perceived interdepartmental interdependence, and organizational strategy were each related to the negotiation behavior of department members. Desirable negotiation behavior—specifically, the problem‐solving approach—was more likely when individuals were extraverted and agreeable, when employees perceived high interdepartmental interdependence, and when organizations did not have a low‐cost strategy. Contending was more likely when individuals were extraverted and disagreeable, and yielding was more likely when department members perceived a power advantage vis‐à‐vis the other department. All four styles of negotiation behavior were more likely the less the organizations had a low‐cost strategy. These findings provide guidance to organizations in their efforts to encourage constructive negotiation behavior between departments.

I aim to understand how informal relationships at work provide a supportive context for individuals and contribute to their engagement in an environment of disruptive change when they are likely to be stressed.

The research was conducted in three UK public service organizations during pre-Brexit disruption. An app was used to capture 400+ transient emotions, reactions, and diary entries of employees about their interactions with co-workers, colleagues, and close colleagues. This was followed by 25 interviews to reflect more deeply on those relationships documented in the app.

Interactions with co-workers, colleagues, and close colleagues are shown to contribute in different ways to emotions felt and different aspects of engagement. Closer relationships, less transactional and more emotional in nature, contribute to feelings of trust, significance, and mutual reliance. A typology of four close colleague relationship types also emerged variously driven by the depth of the relationship and sense of shared mutuality.

This research documents employees' lived experience during disruption to show that relationships provide support for the meaningfulness, psychological safety, and availability aspects of personal engagement. It maps the process of developing supportive workplace relationships that form the relational context with four sub-contexts, distinguishing work, and personal engagement by their different foci. Practical and social implications are discussed.

This paper presents the results of a numerical simulation of measured heat losses from a real building. In particular, the thermal response of a concrete ground floor slab and the underlying foundation soils has been analysed and the results calibrated against data acquired from a comprehensive long term in‐situ monitoring experiment. A numerical solution of a heat conduction model is obtained by use of the finite element method. Finite differences are used to accommodate the time varying nature of the problem. The model has been applied to the simulation of transient one‐dimensional behaviour. Diurnal and seasonal variations in temperature are considered. Good correlation between predicted and measured thermal response has been achieved. It is, therefore, claimed that the modelling approach adopted is capable of representing real in‐situ behaviour.

Managers are often asked to consolidate and improve their organization's strengths without taking undue risks. The techniques and models of risk analysis can help managers chart a course through today's increasing uncertainty.

Investigates the importance of English language sources of Friedrich Theodor Althoff (1839‐1908), a German of great influence both in his own country and, indirectly, in the United States. Explores some measures of his influence in education and international understanding. Examines a wide variety of sources. Explains how it could happen that an influential person would end up in intellectual history with almost no recognition. Challenges several conventional assessments. Althoff′s most important contributions are in print and more almost certainly exist in university archives, but the material is scattered and unorganized. Because we do not yet have the full story of this remarkable and complex man, firm conclusions about his influence are not yet possible.