Search results

To obtain optimal deliverables, more and more crowdsourcing platforms allow contest teams to submit tentative solutions and update scores/rankings on public leaderboards. Such feedback-seeking behavior for progress benchmarking pertains to the team representation activity of boundary spanning. The literature on virtual team performance primarily focuses on team characteristics, among which network closure is generally considered a positive factor. This study further examines how boundary spanning helps mitigate the negative impact of network closure.

This study collected data of 9,793 teams in 246 contests from Kaggle.com. Negative binomial regression modeling and linear regression modeling are employed to investigate the relationships among network closure, boundary spanning and team performance in crowdsourcing contests.

Whereas network closure turns out to be a negative asset for virtual teams to seek platform feedback, boundary spanning mitigates its impact on team performance. On top of such a partial mediation, boundary spanning experience and previous contest performance serve as potential moderators.

The findings offer helpful implications for researchers and practitioners on how to break network closure and encourage boundary spanning with the establishment of facilitating structures in crowdsourcing contests.

The study advances the understanding of theoretical relationships among network closure, boundary spanning and team performance in crowdsourcing contests.

This study aims to investigate how companies’ understanding of the business network influences the creation of value in business-to-business relationships. The authors do this by analysing dimensions in actors’ “network pictures” and illustrating how value perception and network understanding influence actors’ mutual effort to create value. Approaching relationship value from the point of actors’ cognitive understanding of their business network has so far been largely overlooked in relationship value research.

This study applies a qualitative case study methodology whereby dyadic data from a well-established business-to-business relationship is collected from 18 company representatives through personal interviews and group interviews supplemented by participant observations and company data.

The findings contribute with new insight into how companies’ understanding of their surrounding network influence (facilitates or limits) relationship value creation. The authors find that companies continuously reflect on changes in their networks and the related changes in partners’ value perceptions. Through value articulations, companies seek to explicitly express their value perception. Value reflections and value articulations create a dynamic process formed not only by the individual actor but also through their relationship and engagement in their network environment. This requires companies to develop their networking capabilities.

This paper presents findings, insights and contributions limited to a case study of a particular business relationship within an industrial setting. Although the findings and contributions are valid and in line with the criteria for rigorous qualitative research, the authors advocate and call for additional studies that investigate relationships value creation and address the interplay between actors’ network understanding and their actions and behaviour. One way to approach this would be to test the four propositions derived and presented as part of the present study.

The findings imply that management needs to be aware not only of the value created and delivered to a specific partner but also of how the partner’s understanding of the wider network will influence the value delivering and capturing process.

This study contributes to the growing literature on relationship value creation by outlining a dynamic process where relationship partners reflect upon and articulate value. Such activities are influenced by the partners’ network understanding and form the basis of the mutual relationship value creation effort. The findings also contribute to the network pictures literature by emphasizing insights into the formation of value perceptions through actors’ understanding of their surrounding networks.

The purpose of this paper is to conceptualize the notion of thin crossing points from a social network perspective and to outline the concrete networking strategies that enable salespeople to foster mutually valuable resource exchange (i.e. to thin crossing points) across a selling ecosystem.

The authors integrate extant theoretical perspectives to advance a conceptual framework of sales-related networking across three key actors in a selling ecosystem: intraorganizational selling actors and actors in customers and external partner organizations.

Thin crossing points are defined as figurative transaction points at the boundary between organizations or organizational subunits at which actors engage in mutually valuable resource exchange in the process of value cocreation. To thin crossing points with key ecosystem actors, salespeople must adapt networking strategies considering the time and trust constraints inherent in a network relationship. Such constraints inform the most advantageous network centralities (degree, eigenvector and betweenness) and actions to impact key network properties (tie strength, contact diversity) that enable salespeople to efficiently develop social capital and thus to optimally thin crossing points across a selling ecosystem.

To the best of the authors’ knowledge, this study is the first social network-based exploration of salespeople’s role in thinning crossing points with key ecosystem actors. It advances a novel conceptual framework of sales-related networking strategies that foster social capital development and optimally thin crossing points across a selling ecosystem.

This study aims to investigate the dynamics of knowledge sharing in health care, exploring some of the factors that are more likely to influence the evolution of idea sharing and advice seeking in health care.

The authors engaged 50 pediatricians representing many subspecialties at a mid-size US children’s hospital using a social network survey to map and measure advice seeking and idea sharing networks. Through the application of Stochastic Actor-Oriented Models, the authors compared the structure of the two networks prior to a leadership program and eight weeks post conclusion.

The models indicate that health-care professionals carefully and intentionally choose with whom they share ideas and from whom to seek advice. The process is fluid, non-hierarchical and open to changing partners. Significant transitivity effects indicate that the processes of knowledge sharing can be supported by mediation and brokerage.

Hospital administrators can use this method to assess knowledge-sharing dynamics, design and evaluate professional development initiatives and promote new organizational structures that break down communication silos. This work contributes to the literature on knowledge sharing in health care by adopting a social network approach, going beyond the dyadic level and assessing the indirect influence of peers’ relationships on individual networks.

The purpose of this paper is to inquire into how conceptualising is done in the industrial network approach (INA).

The description and analysis of conceptualising is based on key INA references and an example illustrating the characteristics of conceptualising in individual studies.

The paper concludes that there is an open and interactive way of conceptualising in the INA. The empirical and theoretical grounding achieved through combining concepts in individual empirical studies interplays with conceptual development in the research community over time.

Three paradoxes are suggested for further discussion of conceptualising as a key element in theorising in the INA community.

By explicating how INA researchers engage in conceptualising both in individual empirical studies and as a community, the authors identify characteristics similar to the empirical phenomena in focus of the research: interaction, combining and heterogeneity of concepts.

The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.

A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.

Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.

The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.

The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.

Effective project learning can prevent projects from repeating the same mistakes; however, knowledge codification is required for project-to-project learning to be up-scaled across the temporal, geographical and organisational barriers that constrain personalised learning. This paper explores the state of practice for the structuring of codified project learnings as concrete boundary objects with the capacity to enable externalised project-to-project learning across complex boundaries. Cross-domain reconceptualisation is proposed to enable further research and support the future development of standardised recommendations for boundary objects that can enable project-to-project learning at scale.

An integrative literature review method has been applied, considering knowledge, project learning and boundary object scholarship as state-of-practice sources.

It is found that the extensive body of boundary object literature developed over the last three decades has not yet examined the internal structural characteristics of concrete boundary objects for project-to-project learning and boundary-spanning capacity. Through a synthesis of the dispersed structural characteristic recommendations that have been made across examined domains, a reconceptualised schema of 30 discrete characteristics associated with boundary-spanning capacity for project-to-project learning is proposed to support further investigation.

This review makes a novel contribution as a first cross-domain examination of the internal structural characteristics of concrete boundary objects for project-to-project learning. The authors provide directions for future research through the reconceptualisation of a novel schema and the identification of important and previously unidentified research gaps.

This study aims to explore the resource development process implemented by a small consulting firm, active in a traditional industrial context, pursuing the innovation path to develop solutions within the Industry 4.0 (I4.0) domain.

This study undertakes a single qualitative case study of Sinergia, an Italian innovative small consulting firm. The case study is analyzed through critical events and adopting the 4 R model, developed within the industrial marketing and purchasing (IMP) approach.

The analysis highlights a transition from knowledge broker to solution provider, based on a process of networking, with a relevant strategizing effort, and of assembling internal, external and shared resources. Three patterns in the evolution of the company’s innovation path emerge: resource-oriented networking, hybrid resource development and resource assembly.

The empirical study provides novel empirical evidence over localized innovation processes in I4.0 by exploring the innovation path pursued by a small consulting firm in connection with the local business. The study represents a theoretical development in terms of the 4 R model as it suggests the need to further conceptualize the category of technical resources – including products and facilities – in the increasingly complex I4.0 domain and provides insights on the changing role of actors in networks underpinned by emerging resource structures.

Leader–member exchange (LMX) relationship is a crucial context for individuals’ generation of creative ideas. Unlike the fruit research between LMX quality and employee creativity, the relationship between LMX ambivalence and employee creativity is scarce. This study thus aims to examine the effect of LMX ambivalence on employee creativity.

This study conducted an on-site survey of research and development teams in China and distributed paired questionnaires with a time lag of one month. Data from 116 leaders and 484 subordinates were collected and analyzed.

The results showed that LMX ambivalence was directly negatively or indirectly negatively related to employee creativity via self-efficacy. Employee cynicism acted as a potential personal moderator of the effect of LMX ambivalence, specifically, employee cynicism attenuated the negative influence of LMX ambivalence on employee creativity via self-efficacy.

This study extends our knowledge of the complex effects of LMX relationships by empirically exploring whether and how LMX ambivalence influences employee creativity, with self-efficacy introduced as one crucial underlying mechanism. Meanwhile, this study enriches the existing cynicism literature by demonstrating the role of employee cynicism as a buffer in the relationship between LMX ambivalence and employee creativity.

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

The authors used a pooled panel dataset of 12,111 self-organizing innovation groups in 463 game product creative workshop communities from Steam support to test the hypothesis. The pooled ordinary least squares (OLS) model is used for analyzing the data.

The results show that network constraint is negatively associated with the innovation performance of online groups. The average path length of the inter-community group network negatively moderates the relationship between network constraint and group innovation, while the average path length of the intra-community group network positively moderates the relationship between network constraint and group innovation. In addition, both the network density of inter-community group networks and intra-community group networks can negatively moderate the negative relationship between network constraint and group innovation.

The findings of this study suggest that network structural characteristics of inter-community networks and intra-community networks have different effects on online groups’ product innovation, and therefore, group members should consider their inter- and intra-community connections when choosing other groups to form a collaborative innovation relationship.