Search results
21 – 30 of over 146000Denise Bedford and Thomas W. Sanchez
In this chapter, the authors highlight the emerging discipline of network sciences and the evolution and adaptation of human networks. The change is considered in the context of a…
Abstract
Chapter Summary
In this chapter, the authors highlight the emerging discipline of network sciences and the evolution and adaptation of human networks. The change is considered in the context of a shifting economic landscape and the importance of knowledge in the twenty-first-century knowledge economy. The chapter offers a fundamental definition of networks and explores the shifting geography of networks. Specifically, the authors explore door-to-door, place-to-place, and person-to-person network geographies. The authors model economic systems as networks and explain the role of human, structural, and relational capital as nodes, messages, and links in networks.
Denise Bedford and Thomas W. Sanchez
This chapter provides a deep dive into knowledge networks. The authors provide an inclusive definition of a knowledge network. A knowledge network includes nodes as sources and…
Abstract
Chapter Summary
This chapter provides a deep dive into knowledge networks. The authors provide an inclusive definition of a knowledge network. A knowledge network includes nodes as sources and targets of knowledge, relationships as knowledge links, and messages as knowledge transactions and flows. The authors note how knowledge networks differ from other types of networks, specifically their dynamic and chaotic state and continuous transactions. These peculiarities reflect the economic properties and behaviors of knowledge. The elements of networks described in Chapter 2 are elaborated for knowledge networks. The chapter calls out knowledge network domains, geographies, typologies, nodes, messages, and relationships.
Denise Bedford and Thomas W. Sanchez
This chapter focuses on learning networks. The authors describe the six facets of knowledge networks for learning contexts. The importance of three facets is called out, including…
Abstract
Chapter Summary
This chapter focuses on learning networks. The authors describe the six facets of knowledge networks for learning contexts. The importance of three facets is called out, including geography, topology, and nodes. The authors provide four networks, including pedagogy networks – that is, teachers, certification and professional learning networks, school networks, and informal and collaborative learning networks.
Breda Kenny and John Fahy
The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network…
Abstract
The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.
The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.
The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.
The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.
The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.
This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.
Details
Keywords
Denise Bedford and Thomas W. Sanchez
This chapter focuses on community and social group networks. All six facets of knowledge networks are described. The importance of three of the six facets is called out, including…
Abstract
Chapter Summary
This chapter focuses on community and social group networks. All six facets of knowledge networks are described. The importance of three of the six facets is called out, including geography, domain, and the messages exchanged across the network. The authors provide profiles of five networks, including family networks, neighborhood networks, issue and support networks, community organization networks, gangs and criminal networks, and sports and gaming networks.
Denise Bedford and Thomas W. Sanchez
This chapter focuses on civic and political networks. All six facets of knowledge networks are described. The importance of three of the six facets is called out, including…
Abstract
Chapter Summary
This chapter focuses on civic and political networks. All six facets of knowledge networks are described. The importance of three of the six facets is called out, including topology, domain, and messages exchanged across the network. The authors provide three networks’ profiles, including civic and governance networks, advocacy networks, and political parties and networks.
Yunqi Chen, Liqing Zhou and Yichu Wang
The purpose of this study is to explore the knowledge network-based intellectual capital of corporate universities and its co-evolution process with knowledge management…
Abstract
Purpose
The purpose of this study is to explore the knowledge network-based intellectual capital of corporate universities and its co-evolution process with knowledge management activities.
Design/methodology/approach
An exploratory and multiple case study was conducted, investigating three Chinese corporate universities. Grounded theory was used for data analysis.
Findings
This paper finds that the intellectual capital of corporate universities comprises teacher network capital, knowledge process capital and knowledge ba. The steering wheel model is established through the synergistic interaction and promotion among these three types of intellectual capital. The interaction between intellectual capital and the knowledge network within corporate universities constructs the intellectual capital network, which plays the roles of coordinator, knowledge gatekeeper and innovation bridge. The intellectual capital of corporate universities is characterized by sequential inertia. Moreover, the intellectual capital and intellectual capital network are aligned with knowledge management activities at each stage of corporate university development, interacting and following the principles of ladder evolution.
Originality/value
A significant contribution of this paper lies in applying the concept of intellectual capital within the fourth-stage ecosystem to a broader range of knowledge networks. By exploring the dynamics and network of intellectual capital in corporate universities, especially the role of intellectual capital networks and the synergy between intellectual capital and knowledge management activities, this study enriches the existing research on knowledge management and intellectual capital of corporate universities. Furthermore, it advances the development of knowledge management promotion in corporate universities from a new perspective of intellectual capital.
Details
Keywords
Raphael Lissillour, Yuting Cui, Khaled Guesmi, Weijian Chen and Qianran Chen
This study aims to empirically examine the relationships among perceived environmental uncertainty (EV), the level of knowledge distance (KD) and the impact of value network on…
Abstract
Purpose
This study aims to empirically examine the relationships among perceived environmental uncertainty (EV), the level of knowledge distance (KD) and the impact of value network on firm performance.
Design/methodology/approach
The quantitative analysis is based on data from 243 Chinese companies with engineering, procurement and construction (EPC) business in the context of the COVID-19 pandemic.
Findings
The two dimensions of value network [network centrality (NC) and network openness (NO)] have a different impact on firm performance [financial performance (FP) and market performance (MP)]. NC has a positive impact on FP, but not on MP. NO has a positive effect on MP, but not on FP. A reduced KD mediates the relationship between value network and firm performance. Moreover, it fully mediates the relationship between NC and MP, NO and FP. Finally, during the COVID-19 pandemic, only EV has a moderating effect on KD and MP.
Research limitations/implications
This study is limited in terms of data set because it relies on a limited amount of cross-sectional data from one specific country. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
The present findings suggest that EPC professionals should pay more attention to the EV, which may be impacted by policy, technology and the economy. This research has actionable implications for the reform of EPC in the construction industry, and practical recommendations for EPC firms to improve their corporate performance.
Originality/value
The results measure the complementary effects of both dimensions of value network (NC and NO) on two distinct aspects of firm performance (MP and FP) and assess the moderating effect of EV and KD in the context of the COVID-19 pandemics.
Details
Keywords
This study aims to reveal the contribution mechanism of various types of intrafirm networks formed among inventors to firms’ searching for new knowledge. This study also intends…
Abstract
Purpose
This study aims to reveal the contribution mechanism of various types of intrafirm networks formed among inventors to firms’ searching for new knowledge. This study also intends to show how this mechanism is influenced by the geographic dispersion of inventors and the external alliance of firms.
Design/methodology/approach
This study develops an analytical framework building on social network theory to explain the collective search among inventors within the firm. The authors validate the hypotheses using the data from 316 publicly traded biotechnology firms in the USA.
Findings
As demonstrated by the findings, intrafirm network clustering facilitates the search for new knowledge. The geographic dispersion of inventors’ location has a negative moderating effect on this relation, whereas the number of alliance partners has a positive moderating effect on this relation. By contrast, the search for new knowledge is hampered by the intrafirm network average path length. The geographic dispersion of inventors positively moderates this relation, whereas a firm’s alliance partner number negatively moderates this relation.
Originality/value
To the best of the authors’ knowledge, this study is the first to examine the joint effect of intrafirm networks, inventors’ geographic locations and external alliances on the new knowledge-searching process. This study points out that new knowledge acquired through inventors’ geographic locations and alliance partners is internalized efficiently according to different types of internal networks.
Details
Keywords
Elena-Mădălina Vătămănescu, Constantin Bratianu, Dan-Cristian Dabija and Simona Popa
This paper aims to explore the relationships among several key constructs which link the individual’s motivation for knowledge acquisition to his affiliation with online knowledge…
Abstract
Purpose
This paper aims to explore the relationships among several key constructs which link the individual’s motivation for knowledge acquisition to his affiliation with online knowledge networks, to further access the intellectual capital of the network as a prerequisite for organizational achievement.
Design/methodology/approach
An online survey with 227 members of higher education and research centers from 30 countries was carried out between July and September 2021. The data were analyzed by means of partial least squares structural equation modeling technique, using the statistics software package SmartPLS 3.0.
Findings
Individual motivation to acquire knowledge has a significant influence on the affiliation with online academic networks approached as online knowledge networks. Further, active engagement with the network’s intangible resources leads to a significant harnessing of the three-component intellectual capital, that is, human, structural and relational capital. Human and relational capital is proven to exert a significant effect on organizational achievements, whereas structural capital falls short of reporting a meaningful influence on the dependent variable.
Research limitations/implications
This research adds new knowledge to the capitalization of online knowledge networks and its influence on organizational achievements via intellectual capital.
Originality/value
A novel perspective is advanced in which online knowledge networks are acknowledged as a pivotal bond and nonlinear integrator between the individual level of knowledge fields and organizational knowledge leveraged into organizational achievements.
Details