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The purpose of this paper is to study how actors in a network for regional development perceive the network by addressing the questions of what characterizes a network for regional development and why the actors participate in such a network.

The study focussed on using networking for regional development in Sweden, utilizing a qualitative method with a hermeneutic approach.

Regional development requires the inclusion of a participatory multi-actor process, involving a diversity of societal stakeholders. A network for regional development entails hierarchy, and may be characterized by dominance. The informal character of networks for regional development creates vagueness, and might lead to unclear results, in the end affecting the function of the network. Leadership is crucial for the outcome of networks for regional development, but leadership is challenging in the absence of formal decision making and a controlling structure.

As this was an intra-case study, generalization of the findings and conducting a cross-case analysis were not feasible.

The attributes of a network for regional development, i.e. hierarchy and dominance, constitute problems that need to be solved. The informal character of a network may create vagueness, making it difficult to produce tangible results. Hence it is vital to discuss results from different angles. An effective network requires a process leader who promotes trust and mutuality, and pushes the network in the desired direction.

The present paper integrated research on network for regional development with general network theory, offering a better understanding of a topic in which research is relatively limited.

Target prioritization is routinely done among law enforcement agencies, but the criteria to establish which targets will lead to the most crime reduction are neither systematic, nor do they take into account the networks in which offenders are embedded. The purpose of this paper is to propose network capital as a guide for prioritization exercises. The approach simultaneously considers a participant’s network centrality and their crime-affiliated attributes.

Data on all police interactions are used to map the social networks of two mutually connected police targets from a mid-size city in British Columbia, Canada. Network capital is captured by combining the extent to which individuals act as brokers between otherwise unconnected individuals (betweenness centrality), their number of contacts in the network (degree centrality), and whether they have a criminal record, gang ties, and a firearm carrier status.

The network comprises 101 associates, with nine mutual contacts amongst the two targets, and half of the network having a crime-affiliated attribute. Network capital directed the prioritization process to seven associates who stood out. Targeting strategies from two different investigative outcomes are compared.

The specific recommendations of the study can only be interpreted within the context of the initial targets around which the network was constructed. As a prioritization approach, however, network capital is generalizable to other contexts with implications for law enforcement officials and, more broadly, the community.

The study provides insights into the practical application of network analysis with already existing police data. Network capital is data driven, which comes with its own limitations, but which constitutes an improvement over purely informal approaches to target prioritization.

In the absence of well-developed, formal institutional frameworks, informal network-based strategies have been argued to be especially viable in emerging economies. However, some empirical research has challenged these earlier theoretical arguments. In light of new evidence, this chapter develops a contingency perspective differentiating firms' networks as strong ties and weak ties. It suggests that while strong-tie networks are typically found during the early phase of institutional transitions, weak-tie networks are more likely to be developed and leveraged during the late phase of transitions. The upshot is that as the performance benefits of strong ties decline during institutional transitions, emerging weak ties' impact on firm performance is likely to increase.

Business model innovation (BMI) constitutes a priority for managers across industries, but it represents a notoriously difficult innovation, with several challenges, many of which are cognitive in nature. The received literature has variously suggested that one way to overcome challenges to BMI, including cognitive ones, and support the cognitive tasks is using visual representations. Against this background, we aim at offering a contribution to the emerging line of inquiry at the nexus between business models (BMs), cognition and visual representations. Specifically, we develop a new method for visual representation of the BM in support of simplification of the cognitive effort and neutralisation of cognitive barriers. The resulting representation – a network-based representation, anchored on the activity-system perspective and offering complementarity and centrality/periphery measures – allows to visually represent an existing BM as a network (nodes and linkages) of interdependent activities and to express information related to the degree of centrality/periphery of single activities (nodes) with respect to the rest of a BM configuration. This information, we argue, is potentially very valuable in supporting the cognitive tasks involved in business model reconfiguration (BMR). We guide the reader to progressively appreciate how the development of the proposed method for visual representation is anchored to two main characteristics of BMR, namely the discovery-driven nature of BMR and the path-dependent nature of BMR. We offer initial insights on the cognitive value of such a type of representation in relationship to the simplification of the cognitive effort and the neutralisation of cognitive barriers in BMR.

The chapter is structured as follows: in the first part, we provide the framework for the analysis of the formation of the born global firm, whereas the entrepreneurial, strategic, and network-based factors are conceptually linked and leading toward a global champion. The analytical model proposes the analysis of strategic choices as defining factors at the level of entrepreneurial behavior, firm strategy, and network. The case study methodology is provided in the second part of the chapter. The third part provides the empirical linkages of entrepreneurial, strategy based, and network factors’ manifestations and underpinnings in R&D intensive entrepreneurial born global firms. These are followed by discussion and conclusions enclosing empirically grounded framework that explains the emergence of R&D intensive entrepreneurial-hidden champions from the perspective of entrepreneurial firm and network theories.

As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data.

The authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”.

The authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering).

The big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.

The purpose of this paper is to establish a connection between the business model (BM) and B2B marketing research by developing a new approach to the BM analysis and improvement, which is based on inter-organizational networks and value chains.

The methodology is based on mutual enrichment of methods and results of BM and business-to-business marketing studies that are relatively isolated from each other, and on integration of them to the unified structured approach that could be applied to analyze both BM and a set of interfirm relationships of networked market players. This paper is based on extensive literature review in the areas of BM and relationship/industrial marketing. The review is based on most cited and contemporary articles found in the Scopus and EBSCO databases.

This paper formulates the key BM research directions and visualizes their development over time. It is demonstrated in the paper that currently, there is little involvement of marketing researchers in the study of BM; however, there are multiple touchpoints between these areas of knowledge, which can help in further developing BM studies. On the basis of these findings, a conceptual model and new network-based approach to BM analysis is offered, which allows addressing the complex nature of networked interaction among BM participants. The approach includes stepwise algorithm for BM analysis designed for business practitioners.

The proposed approach can be applied by business practitioners to analyze and improve their BM via managing the interactions of inter-organizational network participants with a focus on customer interests. While the approach is of a universal character, the specific tools for evaluating BM on each stage may vary across different markets.

This research contributes to the current conceptual knowledge on BM studies development and their relationship with marketing. It also contributes to theory and practice by the development of a new marketing-based approach to the BM analysis focused on managing business relationships, which allows evaluation of the current state of a BM and provides directions for its improvement. This approach evaluates the alignment of interfirm relationships along the value chain and orients it toward the final consumer.

Seeks to understand the inter‐organisational networks that influence events tourism strategy making by public‐sector event development agencies in Australia.

A qualitative methodology of convergent interviews, followed by multiple case research across six Australian states and territories, was employed. The inter‐organisational relationships and networks of events agencies that impact on their strategy processes for events tourism were the “cases” in focus.

Strategies of a reactive‐proactive nature mostly guide events tourism development by Australia's corporatised event development agencies. These agencies maintain “soft”, loosely formed networks that consist of relatively stable clusters of intra‐governmental and corporate membership with a peripheral, ad hoc membership of other stakeholders.

Although the paper studies perceptions of strategy making at a single point in time, it provides valuable insights into the public sector environment, institutional settings and key relationships that impact on events tourism strategies.

Event development agencies should consider how the unique requirements of event bidding, event development and expansion might facilitate different types of stakeholder engagement and network formation. Integration of regional, metropolitan and state strategies for events tourism may also widen the network of influence on strategies.

The paper informs public sector operatives establishing or managing event development agencies, where tourist generation is a primary marketing goal. It contributes new knowledge in a tourism field that is under‐researched.

In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance.

A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0.

The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable.

The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology.

The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

A great deal of international research has been focussed on the client briefing stage of projects and facilities. The authors have studied this research and propose a method of advising clients at the strategic or pre‐design stage. This approach is termed strategic needs analysis. This technique analyses and reviews client objectives, proposes alternatives and confronts participants with making choices. A case study based on testing the technique in Melbourne, Australia, is presented. Management briefings, participant selection, interactive workshops, and the use of neural network‐based software forms part of the structure for strategic decision making. Facilities managers can provide vital information to this process and inform decision making at this critical stage. The role of the construction disciplines in this process is discussed and the new skills required by this profession are presented.