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There has recently been an increase in interest in the notion of 'network pictures' amongst researchers in the field of business-to-business marketing. Network pictures are managers' subjective mental representations of their relevant business environment. They are posited to work as 'sense-making' devices, and consequently shape managerial decisions, actions, and evaluations. However, while interest in this concept has been reported in a range of literature that we identify and discuss, there has been no attempt to rigorously conceptualise the underlying dimensions of such pictures. Based upon an extensive review of previous work, we propose a parsimonious set of interrelated dimensions, and initially test this approach. We show the model's face validity, but also argue that not all dimensions are perceived as being equally useful: utilisation of the different dimensions is determined more by what it is that managers wish to represent. The implications of the concept of network pictures, as well as further research propositions, are discussed.

Endogeneity bias represents a critical issue for the analysis of cause and effect relationships. Although the existence of endogeneity can produce severely biased results, it has hitherto received only limited attention from researchers in marketing and related disciplines. Thus, this article aims to sensitize researchers intending to publish in the Industrial Marketing Management (IMM) journal to the topic of endogeneity. It outlines the problem of endogeneity bias, and provides an overview of potential sources, i.e. omission of variables, errors-invariables, and simultaneous causality. Furthermore, the article shows ways to deal with endogeneity, including techniques based on instrumental variables as well as instrument-free approaches. Our methodological contribution relates to providing researchers aiming to publish in IMM with an initial overview of the causes of and remedies for endogeneity bias, which should be considered in designing research projects as well as when analysing data to obtain insights into cause and effect relationships (causal models).

Purpose The purpose of this paper is to propose and empirically investigate the concept of networking capability (NC) for the management of supplier relationships and their dynamics in order to leverage product innovations. NC in the context of supplier relationships is conceptualized based on dynamic capabilities aimed at relationship initiation, relationship development, and relationship ending. Furthermore, the study tests the interaction of NC with relationship proclivity as an organizational feature, and analyzes latent classes of NC affecting product innovation. Design/methodology/approach This study brings together prior research on company routines related to inter-firm networking, the dynamic capability approach to strategy, and literature on inter-firm innovation. The study utilizes multiple informant survey data gathered from 156 firms operating in the automotive parts industry in Iran. Data are analyzed with partial least square structural equation modeling, as well as latent class analysis using finite mixture modeling (FIMIX-PLS). Findings This research provides evidence for the positive influence of NC with respect to supplier relationships on firm product innovation, as well as overall firm performance. Relationship proclivity is shown to amplify this effect. At the same time, the research illustrates that NC may be applied in different combinations in the context of supplier relationship portfolio management. Two mechanisms are tentatively identified: firms using “static optimization” focus mainly on supplier relationship development capabilities, while those using “dynamic optimization” utilize supplier relationship initiation and ending capabilities. Research limitations/implications This research focuses on one setting (i.e. the automotive parts industry in Iran). Further studies need to broaden these findings to other industries and countries, specifically those which show a different cultural make-up from Iran. Furthermore, this research indicates the existence of two distinct mechanisms as to how different aspects of NC impact product innovation. While it is reasonable to identify these mechanisms as networking “strategies,” this study does not clarify whether this represents intended strategies by firms or relates to emerging capability patterns. Practical implications The study contributes to managerial knowledge by illustrating the need for a dynamic approach with regard to networking-related routines in supplier relationships in the context of product innovation. This study suggests that managers should devote equal attention to strengthening existing supplier relationships as well as to initiating new supplier relationships (e.g. screening for promising partners and signaling firm’s relationship value to attract new counterparts) and managing non-performing supplier relationships (e.g. by developing routines to exit from those supplier relationships). Originality/value The paper contributes to a better understanding of dynamic approaches to networking with suppliers and their impact on product innovation from the perspective of the focal firm. It furthermore provides a fine-grained understanding of different latent classes of firms in terms of how they utilize networking capabilities.