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An understanding of business networks and the specific processes affecting change in networks is intimately connected to the understanding of the nature of relationships. Relationships constitute the core aspect which connects actors, resources and activities in a business network. Presents an overview of basic features of relationships. Groups relational concepts from the business marketing literature into structural, economic and social dimensions. Outlines a marketing model of three network layers in business networks based on different types of actors. The proposed network layers in the model constitute the production network layer, the resource network layer and the social network layer. Finally, assigns relational concepts to their related network layers in a relationship matrix.

In the context of a retailer with an international supply network, this paper develops theories of (a) how both stability and strong ties in an international supply network combine to yield a resource base that enables the development of flexible relationships with suppliers, (b) how stability and relationship flexibility in the international supply network of a retail reseller may in turn be driven both by the international diversity and by the density of the retailer’s supply network in a product category, and (c) how both the international diversity and the density of a retailer’s supply network may directly affect the likelihood of a retailer developing flexible relationships with its supplier. In doing so, this paper develops and presents six hypotheses and discusses some approaches to measurement of the underlying constructs and testing the hypothesized effects.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

This study tracked rural network activity among regional stakeholders, including government supported agencies, educational institutes, indigenous business representatives, economic support organizations and rural community groups. It explored the relationships that exist between regional stakeholders in a collaborative rural network environment, offering insights into the relationship dynamic between stakeholder organizations.

A longitudinal case study method was utilized to identify the component elements of regional stakeholder network engagement.

Communication, resource sharing and prolonged social interaction were found to be key elements in promoting stakeholder trust. Furthermore, proactive stakeholders improve commitment to network relationships over time. A cyclical flow of these criteria is necessary for congruent understanding to develop between the stakeholders resulting in collaborative network engagement.

Limitations include stakeholder willingness to participate in the research study, potential participant and researcher bias and the possibility that certain features may be particular to the observed network.

The current research demonstrated that stakeholder engagement cannot be assumed in a rural network environment, thus the implementation of the network paradigm into national strategic plans for rural regional development is recommended.

This research contributes to the under-developed area of regional stakeholder network engagement and provides a basis from which to consider the relationships that exist between regional stakeholders in a rural network. A key outcome is the development of a Framework of Regional Stakeholder Network Engagement, which offers insight into how committed network relationships evolve and highlight the factors that promote and hinder sustainable regional stakeholder engagement.

In this chapter, the authors focus on three challenges related to the attributes of the interactive business world and on the related implications for methodology. The first challenge is how to capture the continuity of business relationships, which implies: (1) Taking a two-sided (bilateral) view when researching business relationships, (2) collecting data on content and consequences of business relationships and (3) developing a research design to capture development over time. The second challenge is how to set boundaries and trace network-like structures, which implies: (1) identifying the relevant relationships that appear to affect each other in a network-like manner, (2) capturing interdependences among relationships (how they affect each other) and (3) researching forces generating network dynamics (how these interdependencies are established and change over time). The third challenge is how to observe and research interaction processes in business relationships, which leave little traces and are difficult to record. This requires the attention on (1) the choice of point(s) of observation, (2) the handling of the subjective understanding of interaction and (3) researching how interaction unfolds. The authors conclude with a discussion on the complexity of handling these challenges, and related methodological choices, when ‘research objects’ are interconnected.

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”).

Companies inevitably interact and entrench in complex organic systems of business relationships with other. These business networks are not objectively defined, instead they are shaped by the subjective perception of actors. This inherent subjectivity is associated with the notion of network pictures, that is, a research tool that researchers or managers can use to grasp practitioner theories. In this chapter, we discuss how the importance of identifying these theories results mainly from underlying principles of sense-making theory, as well as from the idea around performativity. Drawing on these theoretical groundings, this chapter has two objectives: to explore how practitioners actually perceive their business surroundings and to assess the extent of overlapping between (IMP Group) academic theories and practitioner theories. To achieve these objectives, the researchers use a dimensional network pictures model previously developed in the literature to analyze the network pictures of 49 top-level managers across 17 companies from two very distinct contexts or networks: a product-based network and a project-based network. Among other practices, findings illustrate how practitioners tend to simplify what is going on in their complex surroundings, to personalize their relationships with those surroundings, and to think in a stereotyped way. Moreover, the juxtaposition between the captured practitioner theories and academic (IMP Group) theories show that these are not always overlapping, and are in some cases quite the opposite. This research contributes to the ongoing discussion of the importance of grasping actors’ views of the world, arguing that sense-making theory and the notion of performativity are the two main conceptual drivers justifying the urgency in making those views more visible. This research also adds to the research on the impact and suitability of IMP Group theories on managerial thinking and practice. Finally, this research reinforces the current call for further practice-based research in business network contexts.

Employees play an essential role in interactive innovation activities in Open Innovation Communities (OICs). Nevertheless, the factors influencing employees' innovation behavior in OICs have not been studied in depth. This study selects personality traits and social network characteristics to explain why and how these two factors affect employees' innovation behavior in OICs.

Three regression models were constructed to test the relationship between personality traits, social network characteristics, and interactive innovation behaviors. The authors examined how employees' personality traits (Big Five personality traits) influence employees' innovative behavior (initiating and supporting innovation) directly in OICs and explored whether social network characteristics (social group) mediate the relationship between employees' personality traits and employees' innovation behavior.

Using empirical data on 162 employees from Salesforce's IdeaExchange, the authors found that extraversion and openness to experience have significant positive effects on employees' interactive innovation behaviors, while conscientiousness has a significant negative effect on employees' interactive innovation behaviors in OICs. Furthermore, the mediation effect test results indicated that social network characteristics have a mediating effect on the relationship between extraversion and innovative behavior, and between openness and innovative behavior.

This study analyzes how personality traits influence innovation behavior in an open innovation environment, thus enriching research related to the factors influencing interactive innovation behavior. Meanwhile, the study integrates personality, social network, and innovative behavior research streams and clearly explains the relationship between the three variables. The research findings assist firms in selecting suitable employees to participate in interactive innovation behaviors in OICs.

This research paper aims to understand how givers characterise and manage their gift giving networks by drawing on attachment theory (AT). This responds to the need to illuminate the givers–receivers’ networks beyond traditional role-based taxonomies and explore their changing dynamics.

A multi-method, qualitative approach was used involving 158 gift experiences captured in online diaries and 27 follow-up interviews.

Results show that givers organise receivers into gifting networks that are grounded in a contextual understanding of their relationships. The identification of direct, surrogate and mediated bonds reflects three different dimensions that inform gift-giving networks of support, care or belongingness rooted in AT. The relative position of gift receivers in this network influences the nature of support, the type of social influences and relationship stability in the network.

This study illustrates the complexity of relationships based on the data collected over two specific periods of time; thus, there might be further types of receivers within a giver’s network that the data did not capture. This limitation was minimised by asking about other possible receivers in interviews.

The findings set a foundation for gift retailers to assist gift givers in finding gifts that match their perceived relations to the receivers by adapting communication messages and offering advice aligned with specific relationship contexts.

This study illuminates gift-giving networks by proposing a taxonomy of gifting networks underpinned by AT that can be applied to study different relationship contexts from the perspective of the giver. This conceptualisation captures different levels of emotional support, social influences and relationship stability, which have an impact on the receivers’ roles within the giver’s network. Importantly, results reveal that the gift receiver is not always the target of gift-giving. The target can be someone whom the giver wants to please or an acquaintance they share with the receiver with whom they wish to reinforce bonds.

With the development of regional economy, innovation network plays an increasingly prominent role in reducing regional innovation cost and enabling information, knowledge and capital flow and diffusion. Building an efficient innovation network has become a feasible way to improve regional innovation capabilities and performance. Thus, under the background of Chinese special triple helix structure, the specific mechanism of innovation network characteristics on regional innovation performance is still an issue that needs to be studied urgently.

This study conducts a multi-level regression analysis regional innovation panel data of China from the past four years to explore how the three dimensions of innovation network characteristics (i.e. network density, openness and strength) affect regional innovation performance.

The results show that there is an inverted-U relationship exists between network density and regional innovation performance. The network openness and regional innovation performance show a significantly positive relationship and a U-shaped relationship exists between network strength and regional innovation performance.

First, this study examines the relationship between network density, openness, strength and innovation ability in the network variable structure. However, this study does not analyze how absorptive capacity impacts the network structure and innovation performance of regional innovators. Second, innovation network intensity largely varies according to different types of enterprises or industries. Therefore, future studies can attempt to analyze the relationship between innovation network and innovation performance on the basis of the industry or the enterprise itself. Fourth, this study does not consider the change in the influence of innovation network structure on innovation ability.

The results of this study provide insights for the formulation of the regional innovation policy. First, enterprises must maintain good contact with research institutes, universities and technology intermediaries and promote resource, information and money flow between networks through formal and informal interactions. Enterprises can currently only interact with a limited number of innovative subjects due to their limited resources. Therefore, we should continue implementing the open policy of foreign capital utilization and absorb the technology, knowledge, management, ideas, talent and other resource advantages in the world. The investment environment in the central and western regions should be improved as soon as possible to guide foreign direct investments to the middle and the west part of China, thereby promoting the coordinated development of regional innovation ability and economy.

In 2015, the Chinese Government proposed “public entrepreneurship and innovation,” including technological, institutional, management and mode innovations. This study suggests that innovation subjects in the region should establish an interactive and dynamic innovation network among innovators.

The innovation of this study lies in the analysis of the characteristics of innovation network that significantly affect regional innovation performance, the exploration of different stages of innovation network construction path and provide theoretical guidance for the construction of innovation network.