Search results

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

Interactions are fundamental for successful relationships and stable cooperation in a business-to-business market. The main assumption in research on interactions, so obvious that usually not stated by researchers, is that they are set between humans. The development of artificial intelligence forces the re-examination of this assumption. This paper aims to conceptualize business virtual assistants (BVAs), a type of intelligent agent, as either a boundary object or an actor within business interactions.

Reference is made to the literature on business interactions, boundary objects and identity attribution to problematize the process of interpretation through which BVA obtains an identity. The ARA model and the model of interaction process is used to create a theoretical framework.

This paper contributes to the literature on business interactions, and to the core of the IMP discussion, in three aspects. The first provides a framework to understand the phenomenon of an artificial entity as an interlocutor in business interactions. While doing that a new type of entity, BVA, is introduced. The second contribution is the exploration and augmentation of the concept of a business actor. The third calls attention to BVA as a boundary object. These issues are seen as essential to move forward the discussion about the meaning of business interaction in the near future.

This paper conceptualizes the presence of a new entity – BVA – in the business landscape.

In every industry there are resources. Some are moving, others more fixed; some are technical, others social. People working with the resources, for example, as buyers or sellers, or users or producers, may not make much notice of them. A product sells. A facility functions. The business relationship in which we make our money has “always” been there. However, some times this picture of order is disturbed. A user having purchased a product for decades may “suddenly” say to the producer that s/he does not appreciate the product. And a producer having received an order of a product that s/he thought was well known, may find it impossible to sell it. Such disturbances may be ignored. Or they can be used as a platform for development. In this study we investigate the latter option, theoretically and through real world data. Concerning theory we draw on the industrial network approach. We see industrial actors as part of (industrial) networks. In their activities actors use and produce resources. Moreover, the actors interact − bilaterally and multilaterally. This leads to development of resources and networks. Through “thick” descriptions of two cases we illustrate and try to understand the interactive character of resource development and how actors do business on features of resources. The cases are about a certain type of resource, a product − goat milk. The main message to industrial actors is that they should pay attention to that products can be co-created. Successful co-creation of products, moreover, may require development also of business relationships and their connections (“networking”).

The present chapter expands on recent research demonstrating an empirical link between theoretical constructs within affect control theory (ACT) and expectation states theory. I explore the utility of a joint application of the two theories, employing simulated interactions to examine status organizing processes.

Although simulation results do not constitute data by which theoretical claims can be tested, they are useful for developing new research questions. I report results from a series of simulated dyadic interactions using ACT’s Interact program to investigate potential emotional and identity processes that underlie the enactment of status differences, and to explore affective responses to the legitimation and delegitimation of status orders.

Simulation results call attention to a dynamic interplay between structural elements of the situation and the agentic behavior of interactants, suggesting that behavioral attempts to reduce deflections may lead to shifts in expectations over the course of interaction. Results raise the possibility that differences in affective impressions may produce expectations that are initially asymmetrical between interaction partners. Further, results suggest that the standardized tasks commonly employed in expectation states research may unintentionally generate affective responses that encourage status convergence.

Drawing on insights and methods from ACT, expectation states researchers can improve the scientific understanding of small group interaction. Employing simulated interactions, researchers can promote theoretical advancement by uncovering new lines of inquiry at the intersection of two prominent social psychological traditions. Simulations also provide a further tool for methodological refinement within the standardized experimental setting.

This study aims to explore the role played by a formal cluster initiative in supporting small firms' internationalization processes. Taking a public–private interaction perspective, this study aims to understand interaction mechanisms within an internationalization project implemented by a formal cluster initiative.

This study uses a qualitative approach based on a case study of a Swedish formal cluster initiative involved in an internationalization project. The case is analyzed through the industrial marketing and purchasing approach, relying on the Actors–Resources–Activities (ARA) framework.

The analysis highlights the role of formal clusters as supporters and “accelerators” of internationalization processes. Based on the ARA framework, the roles of the public and private actors emerge: the cluster plays the role of orchestrator, supporter and financer, while on the businesses' side, participants assumed the role of customers, displaying various degrees of interest and commitment and giving rise to a leader–follower pattern. Activities occurred at multiple levels, interorganizational, intraproject, interprojects, through different timings and typologies. The main resources at stake were the combination of knowledge, complementary capabilities and financial incentives.

This empirical study provides novel empirical evidence and theoretical development over the phenomenon of formal clusters. This study contributes to the current debate on public–private interaction mechanisms and to the upgrading and circulation of international business knowledge.

A central question of governance in our time is how actors in complex, diverse and dynamic contexts can be harmonized, respecting the needs and limitations of their contexts. New technologies enable shaping and modelling interactions to an extent hitherto unknown. They constitute a huge potential to support and integrate interactions and to reshape governance. This paper sets out to explore a concept of interaction applicable to media which captures and addresses the specific characteristics of social systems required to ensure their viability.

The potential of cybernetics and systems theory for both the design and application of media in social contexts is explored. Building on an autopoietic concept of social systems, a notion of governance as a process of interaction is established. Beer's Viable Systems Model (VSM) and Schwaninger's Model of Systemic Control is applied to derive the characteristic elements, configurations and types of interaction required to support balancing actors' images in social systems. Links to political and social science theory are provided.

Cybernetic and system theories provide a solid conceptual basis for capturing the complexity, dynamics and diversity of interaction. Identifying and addressing the relevant characteristics of interaction in social systems can be achieved through the application of cybernetic tools and vocabulary. These can be used to specify and secure the necessary and sufficient design principles for media through which the viability of social systems can be promoted.

The paper shows that requirements to the structure of media applied in social contexts can be specified. Analysing interactions in all kind of social systems does provide clues for the development, implementation, and configuration of improved media. When applied properly, these can boost up governing interactions to much more productive and sustainable forms. This turns out to be a remarkable opportunity to promote the governance of social systems.

The purpose of this paper is to develop the case for studying non-interaction in networks, particularly instances of intentional avoidance of interaction.

The paper is based on the analysis of instances of interaction avoidance across four case studies in medical technology development, food product development, food distribution network change, and regional innovation in construction.

Some answers are provided to the questions of why and how actors may seek to avoid interaction. Five modes of interaction avoidance are identified and outlined. Within these modes, interaction avoidance took place in order to protect knowledge, enforce progress, economise in business networks, avoid wasting resources, and maintain opportunities respectively. This list is not seen to be exhaustive of the theme, and further studies are encouraged.

Few inter-organisational network studies have dealt explicitly with interaction avoidance or non-interaction.

The purpose of this paper is to analyse how different policy perspectives or logics regarding industry organising affect network interaction, with particular focus on how the availability of resources is organised.

To examine this, the authors compare two cases from the Norwegian seafood industry: in the pelagic industry, the main resource (mackerel) is caught at sea by fishing vessels and trade is restricted by an auction system, whereas in the salmon industry, the main resource (farmed salmon) is an industrial product produced at fish farms and there are no such restrictions.

The results indicate that conditions under which resources are available to a network have strong effects on connected relationships: in the pelagic industry, interaction in the network becomes supplier-directed in an attempt to reduce the uncertainty created by unstable and restricted availability of resources, whereas in the salmon industry the interaction becomes customer directed as resource availability is stable and predictable. Here the actors can broaden the scope of interaction and they can direct their efforts to solve their customers’ problems, whereas this is difficult in the pelagic industry. The authors conclude that policy considerations play a major role in these effects. If the resource (fish) is seen as a commodity and the interaction is seen as a market mechanism, the policies designed to facilitate the exchange of resources will be beneficial for the actors directly involved, but may have unintended negative consequences for indirect relationships.

For policy makers this implies that whenever developing an industrial policy there are strong reasons to look beyond the single transaction in order to create policies that are effective and/or beneficial for all involved and connected parties.

The purpose of this paper is to apply an economic sociology perspective to the activity–resource–actor (ARA) interaction model for business relationships. Interaction has been chosen as a conceptual domain where economic sociology has a particularly high potential to advance business-to-business (B2B) marketing in terms of its future research directions.

The paper provides a structured account of economic sociology through the description of eight key economic sociology concepts and discussion of the structuration theory. This is followed by an overview of the usage of the eight key economic sociology concepts in current B2B marketing research, and concludes with outlining eight specific future research directions which guide future research on interaction in business relationships.

Eight economic sociology concepts are identified: embeddedness, networks, institutions, power, social capital, identity, social structures and cognition. An overview of the application of these constructs within the B2B marketing literature shows how most of them are used as metaphors with a gap in understanding their economic sociology background.

Future research directions are described individually, do not include potential interaction effects and are developed within the ARA interaction model framework. Given the conceptual nature of the paper, it does not provide any empirical data and illustrations related to any of the eight key economic sociology concepts.

The paper answers a call for a wider integration of economic sociology into the B2B marketing literature. It provides a systematic eight-concept economic sociology framework to be used by B2B marketing theorists and researchers. The paper finishes with eight concrete future research directions through which an economic sociology perspective can help advance B2B marketing theory and business relationship management practice. A brief discussion of managerial implications is also provided at the end.

Purpose: Prior work has convincingly argued that social inequalities arise from the basic human tendency to place others into social categories with different cultural meanings and to allocate resources unequally across those categories. However, few studies have sought to identify the micro-level mechanisms that sustain and justify this categorical inequality. In this research, I show how affect control theory (ACT) can be used to generate novel predictions about the interaction processes that perpetuate stratification.

Methodology/Approach: I present a series of analyses based in ACT that examine (1) whether categorical inequality is reflected in cultural sentiments for social groups, (2) whether patterns of normative behavior and social treatment vary based on category membership, and (3) whether interactions produce different emotions based on category membership.

Findings: Analysis 1 identifies four distinct patterns of cultural meanings that differentiate the groups studied. Analyses 2 and 3 show how these differences in cultural meanings produce categorical inequality through interpersonal behavior and emotional experiences in normative social encounters. Unequal cultural meanings for social groups correspond with their positionality in the social order and support patterns of situated behavior and emotions that keep groups with different levels of status and power separate and unequal.

Originality/Value: This research shows how social norms constrain and enable actions and emotions by members of different social categories, how they depend on the combinations of actors who appear together in a given social encounter, and how they contribute to the reproduction of inequality in ways not well accounted for by earlier work.