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Purpose - The purpose of the article is to identify and analyze the challenges of B2B research relevance from the point of view of top executives. Design/methodology/approach - Ten in-depth interviews with top executives from different B2B industries were conducted and analyzed by using Arndt’s (1985) elements of a healthy discipline, i.e. Knowledge, Problems, and Instruments. Findings - The findings reveal 12 challenges that characterize contemporary B2B research relevance from a top executive perspective. Research limitations/implications - The research offers genuine top executive insight. More research from different perspectives is needed to broaden the understanding of B2B research relevance. Originality/value - Reflecting B2B research with the identified challenges can contribute to better research designs, narrowing the gap between B2B scholars and practitioners. Altogether, it contributes to the health of the B2B discipline. The study also introduces a new approach to analysing research relevance by using the elements of scientific balance.

Purpose: In business markets, working with customers and users has become increasingly important to get knowledge about customer needs and to develop new products. The purpose of this article is twofold: (1) to develop a framework for analyzing customer involvement in product development in a business market context, and (2) to apply this framework to a particular company to describe and analyze how it practices customer involvement. Methodology/approach: The article takes its main theoretical starting point in the industrial network approach, but also uses other literature from the innovation and product development field. The empirical study applies a qualitative case study approach and focuses on one company in the truck business. Findings: The suggested framework deals with four key aspects of customer involvement: Why, when, how, and who. The observed pattern of the truck manufacturer shows how dealers, hauliers, and truck drivers are all part of the overall understanding of the customer. These actors are involved for different, typically very clear, purposes at different points in time through surveys, product clinics, and field testing. The pattern, referred to as mixed facilitative, is not one of close collaboration with individual customers, but one of broad involvement of several customers through business intelligence and direct involvement. Research implications: First, the article provides researchers with a framework and method for studying customer involvement in product development. Second, the case study provides an illustrative example of the customer involvement pattern pursued by a leading company in a major industry. This enhances the understanding of the focal phenomenon, leads to managerial implications, and gives ideas for future research. Practical implications: There are several managerial implications related to the why, when, how, and who questions. For example, it is pointed out that managers should consider involving customers more exte

Many group-living animals construct transportation networks of trails, galleries and burrows by modifying the environment to facilitate faster, safer or more efficient movement. Animal transportation networks can have direct influences on the fitness of individuals, whereas the shape and structure of transportation networks can influence community dynamics by facilitating contacts between different individuals and species. In this review, we discuss three key areas in the study of animal transportation networks: the topological properties of networks, network morphogenesis and growth, and the behaviour of network users. We present a brief primer on elements of network theory, and then discuss the different ways in which animal groups deal with the fundamental trade-off between the competing network properties of travel efficiency, robustness and infrastructure cost. We consider how the behaviour of network users can impact network efficiency, and call for studies that integrate both network topology and user behaviour. We finish with a prospectus for future research., The authors contributed equally to this study.

This paper deals with a small Italian company in the automotive business attempting to enter an existing business network in order to sell cars in the Italian market. The analysis focuses on the process of embedding the new venture in an existing business network and on the interaction strategies such embedding requires between the businesses involved. We identify and discuss the critical issues a new venture faces as a new entrant in developing a position in the relevant network. Drawing on an empirical case regarding the development of a distribution network, we discuss how firm’s development strategy is always contingent on the involvement of external actors and their resources and activities. This paper contributes to the discussion on strategizing by analysing the interactive nature of strategizing at the actors level and by focusing on an overlooked case of strategizing, namely when a new venture tries to acquire a position in an existing network. We argue that strategy development in business networks is dependent on other actors co-operating in creating new solutions and conceding space to the new entrant.

Travelling in groups gives animals opportunities to share route information by following cues from each other's movement. The outcome of group navigation will depend on how individuals respond to each other within a flock, school, swarm or herd. Despite the abundance of modelling studies, only recently have researchers developed techniques to determine the interaction rules among real animals. Here, we use high-resolution GPS (global positioning system) tracking to study these interactions in pairs of pigeons flying home from a familiar site. Momentary changes in velocity indicate alignment with the neighbour's direction, as well as attraction or avoidance depending on distance. Responses were stronger when the neighbour was in front. From the flocking behaviour, we develop a model to predict features of group navigation. Specifically, we show that the interactions between pigeons stabilize a side-by-side configuration, promoting bidirectional information transfer and reducing the risk of separation. However, if one bird gets in front it will lead directional choices. Our model further predicts, and observations confirm, that a faster bird (as measured from solo flights) will fly slightly in front and thus dominate the choice of homing route. Our results explain how group decisions emerge from individual differences in homing flight behaviour.

Inference of interaction rules of animals moving in groups usually relies on an analysis of large scale system behaviour. Models are tuned through repeated simulation until they match the observed behaviour. More recent work has used the fine scale motions of animals to validate and fit the rules of interaction of animals in groups. Here, we use a Bayesian methodology to compare a variety of models to the collective motion of glass prawns (Paratya australiensis). We show that these exhibit a stereotypical 'phase transition', whereby an increase in density leads to the onset of collective motion in one direction. We fit models to this data, which range from: a mean-field model where all prawns interact globally; to a spatial Markovian model where prawns are self-propelled particles influenced only by the current positions and directions of their neighbours; up to non-Markovian models where prawns have 'memory' of previous interactions, integrating their experiences over time when deciding to change behaviour. We show that the mean-field model fits the large scale behaviour of the system, but does not capture the observed locality of interactions. Traditional self-propelled particle models fail to capture the fine scale dynamics of the system. The most sophisticated model, the non-Markovian model, provides a good match to the data at both the fine scale and in terms of reproducing global dynamics, while maintaining a biologically plausible perceptual range. We conclude that prawns' movements are influenced by not just the current direction of nearby conspecifics, but also those encountered in the recent past. Given the simplicity of prawns as a study system our research suggests that self-propelled particle models of collective motion should, if they are to be realistic at multiple biological scales, include memory of previous interactions and other non-Markovian effects.