Innovation-based Nets as Collective Actors: A Heterarchization Case Study from the Automotive Industry

Cooperation and collaboration between companies represents a key issue within the conceptual framework developed by the IMP Group. However, little attention has been paid to a phenomenon which can result from such collaboration, i.e. collective action. This involves cooperative activities undertaken by a significant number of actors sharing a common aim. This research uses the concept of issue-based net to open new avenues to understand collective action in the context of innovation activities, specifically by analyzing a case study of an innovation-based net in the automotive industry. Two main objectives are addressed in this study: Related to this discussion of different development paths of collective actors, the case study analysis focuses on how issue-based nets emerge and evolve in situations of innovation, specifically, what kind of structure and process issues characterize a heterarchization development path. Furthermore, the analysis addressed how issue-based nets change the positioning of individual member firms, a well as that of the collective actor within the overall network.Innovation, collective actor, issue-based nets, heterarchization, case study, automotive industry

Inter-cognitive representations in business networks

This study aims at conceptualizing the different outcomes of inter-cognitive representations, such as manifestations of agreements between business actors, legally binding contracts, and industry standards and regulations which are developed through interactions between actors in business networks. Inter-cognitive representations inscribe shared understandings and thus prove an objectified basis for further interactions within the business network. To advance the study of inter-cognitive representations in business networks, we develop conceptual framework that integrates two conceptual dimensions, namely, 1) ‘shared understanding of rules’ and 2) ‘interaction among interdependent actors’. The framework allows us to formulate four theoretical propositions that provide alternative hypotheses, which deserve further research and empirical testing

Services networks: concept and research agenda

Service networks represent an often used but less often defined construct. As part of the Industrial Marketing Management Special Issue on Services Networks we provide an overview of different ways of understanding services networks, particularly from a business marketing and a services systems perspective. We provide our own definition of services networks and introduce three different conceptual layers. These layers are used to describe the different articles in the special issue. A discussion of a tentative research agenda concludes our argument

Complaint resolution management expectations in an asymmetric business-to-business context

Purpose – The purpose of this paper is to gain a deeper understanding of the attributes of effective complaint management in business-to-business relationships, and to reveal the underlying benefits that buying organizations are looking for when complaining. Design/methodology/approach – A semi-standardized qualitative technique called laddering was applied successfully to an online environment with 22 representatives of companies in the manufacturing industry participating. Findings – The resulting hierarchical value map displays 13 attributes which exemplify the complaint resolution management expectations. A total of 14 constructs represent consequences of such resolution activities, while four constructs can be interpreted as values. Take “Quick action” is the most important of the expected attributes and behaviours of complaint resolution management. Four consequences seem to dominate the assessment: Financial benefits, Prevention of future problems, Solution, and Effective resolution handling. “Maintain supplier relationships” appears as a dominant value in the perceptions of respondents, with half of them mentioning this as an end. Research limitations/implications – Owing to the exploratory nature of the study in general and the scope and size of its sample in particular, the findings are tentative in nature. The study involved a group of representatives of large UK manufacturing companies with complaint handling responsibilities and so the results cannot be generalised. Originality/value – The findings enrich the existing limited stock of knowledge on complaint management in business relationships by developing a deeper understanding of the attributes that complaining customer companies desire from suppliers, as well as the underlying business logic (i.e. values) for these expectations. The quality of the results also suggests that the laddering questionnaire technique can be transferred effectively to an online environment

Complaint management expectations: an online laddering analysis of small versus large firms

This study explores complaint management expectations in business relationships, particularly the qualities and behaviours that affect buying companies as part of the complaint handling encounter with a supplier. An exploratory empirical study uses a hard laddering approach which also allows us to compare the expectations of large and small companies to understand size-effects. The research indicates that complaining companies perceive disruptions of their supplier relationships in the context of the business network within which they are embedded, especially vis-à-vis the benefits associated with long-term supplier ties. However, these network concerns are more pronounced for large companies. Issues of effective complaint management in business-to-business settings therefore need to be addressed not just as isolated managerial activities with limited benefits for the parties involved, but should be seen as being part of a wider activity set of strategic networking activities with an impact on whole business systems. Thus, the findings enrich the existing limited stock of knowledge on the context of complaint management in business relationships and networks

An empirical investigation of Network-Oriented Behaviors in Business-to-Business Markets

This study is concerned with the extent to which network-oriented behaviors directly and/or indirectly affect firm performance. It argues that a firm's interaction behaviors in relation to an embedded network structure are key mechanisms that facilitate the development of important organizational capabilities in dealing with business partners. Such network-oriented behaviors, which are aimed at affecting the position of a company in the network, are consequently important drivers of firm performance, rather than the network structure alone. We develop a conceptual model that captures network-oriented behaviors as a driving force of firm performance in relation to three other key organizational behaviors, i.e., customer-oriented, competitor-oriented and relationship-oriented behaviors. We test the hypothesized model using a dataset of 354 responses collected via an on-line questionnaire from UK managers, whose organizations operate in business-to-business markets in either the manufacturing or services sectors. This study provides four key findings. First, a firm's networkoriented behaviors positively affect the development of customer-oriented and competitor-oriented behaviors. Secondly, they also foster relationship coordination with its important business partners within the network. Thirdly, the effective management of the firm's portfolio of relationships is found to mediate the positive impact of network-oriented behaviors on firm profitability. Lastly, closeness to end-users amplifies the positive effect of network-oriented behaviors on relationship portfolio effectiveness

Net versus combinatory effects of firm and industry antecedents of sales growth

This study examines antecedents of sales growth using a two-step mixed-method approach including analyses of net effects and combinatory effects. Based on a sample of 453 respondents from manufacturing and service firms, this article shows how the combination of structural equation modeling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) provides more detailed insights into the causal patterns of factors to explain sales growth. This article contributes to the extant literature by highlighting fsQCA as a useful method to analyze complex causality (specifically combinatory effects of antecedent conditions) and by discussing options regarding how this approach can be used to complement findings from conventional causal data analysis procedures that analyze net effects

Dyadic Operationalization in Business Relationships: The Empirical Example of Marketing-Purchasing Collaboration

Purpose: The purpose of this paper is to explore whether dyadic operationalization within business relationships is feasible and sensible in a rigorous way. It aims to introduce quantitative operationalizations of business relationship characteristics from both monadic and dyadic datasets, and to introduce aggregation techniques for utilizing the richness of dyadic data. It compares and contrasts the effectiveness of different techniques in terms of explaining business relationship phenomena, using an empirical exemplification. Methodology/Approach: The paper reviews the relevant literature and summarizes various dyadic operationalization and aggregation approaches. It furthermore illustrates such operationalization and aggregation by utilizing an empirical example. A nomological model of marketing-purchasing collaboration is developed and tested based upon internal dyadic data. Using alternative model comparisons, we contrast several different ways of operationalizing dyadic data (combined, dyadic, and dyadic with asymmetry), and compare the outcomes utilizing structural equation modeling. Findings: The study of business relationships typically makes use of a variety of data types, ranging from simple monadic to perceived dyadic, through to rigorous dyadic data. The various aggregation methods include value, asymmetry, and directional asymmetry approaches. Pertinent sub-constructs are developed based on these aggregation methods and relevant hypotheses incorporating and reflecting on the role of the sub-constructs are suggested to develop a more meaningful and rich quantitative analysis of business relationship phenomena. Research Implications: This paper explores the different ways in which data assessing the relationship between two interacting parties can be operationalized. Dyadic operationalization within the context of business relationships is sensible and recommended. Researchers can adopt approaches to conduct dyadic data operationalization including data collection methods such as perceived dyadic and rigorous dyadic. They should benefit from rich dyadic aggregation approaches such as value, asymmetry, and directional asymmetry, noting the strengths and weaknesses of each approach discussed in this paper. Practical Implications: Businesses are recommended to increase customer orientation and marketing-purchasing interaction to improve collaboration between marketing and purchasing departments and thus their overall performance. Businesses should also develop an alignment between the collaboration perceptions of the involved departments, and note that perceptual symmetry improves collaboration. Perception matching in a dyadic relationship plays a role in enhancing the overall firm performance. Managers should note that all involved parties’ perspectives are to be included to ensure a positive and collaborative liaison. An all-encompassing attitude and perspective (as opposed to an asymmetric, unbalanced one) ensures an effective relationship. Originality/Value/Contribution of the paper: The contribution of the research lies in outlining different ways to accomplish more insightful analytics regarding data operationalization, and their different strengths and weaknesses in terms of explaining relationship characteristics, and therefore enriches research on business relationships by making better sense of quantitative dyadic data