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Article
Publication date: 22 February 2024

Wenhao Zhou and Hailin Li

This study aims to propose a combined effect framework to explore the relationship between research and development (R&D) team networks, knowledge diversity and breakthrough…

Abstract

Purpose

This study aims to propose a combined effect framework to explore the relationship between research and development (R&D) team networks, knowledge diversity and breakthrough technological innovation. In contrast to conventional linear net effects, the article explores three possible types of team configuration within enterprises and their breakthrough innovation-driving mechanisms based on machine learning methods.

Design/methodology/approach

Based on the patent application data of 2,337 Chinese companies in the biopharmaceutical manufacturing industry to construct the R&D team network, the study uses the K-Means method to explore the configuration types of R&D teams with the principle of greatest intergroup differences. Further, a decision tree model (DT) is utilized to excavate the conditional combined relationships between diverse team network configuration factors, knowledge diversity and breakthrough innovation. The network driving mechanism of corporate breakthrough innovation is analyzed from the perspective of team configurations.

Findings

It has been discerned that in the biopharmaceutical manufacturing industry, there exist three main types of enterprise R&D team configurations: tight collaboration, knowledge expansion and scale orientation, which reflect the three resource investment preferences of enterprises in technological innovation, network relationships, knowledge resources and human capital. The results highlight both the crowding-out effects and complementary effects between knowledge diversity and team network characteristics in tight collaborative teams. Low knowledge diversity and high team structure holes (SHs) are found to be the optimal team configuration conditions for breakthrough innovation in knowledge-expanding and scale-oriented teams.

Originality/value

Previous studies have mainly focused on the relationship between the external collaboration network and corporate innovation. Moreover, traditional regression methods mainly describe the linear net effects between variables, neglecting that technological breakthroughs are a comprehensive concept that requires the combined action of multiple factors. To address the gap, this article proposes a combination effect framework between R&D teams and enterprise breakthrough innovation, further improving social network theory and expanding the applicability of data mining methods in the field of innovation management.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

Book part
Publication date: 19 January 2024

Adem Yavuz Elveren

The goal of this chapter is to reexamine the nature and structure of the military–industrial complex (MIC) through the works of John Kenneth Galbraith. MIC, or military power as…

Abstract

The goal of this chapter is to reexamine the nature and structure of the military–industrial complex (MIC) through the works of John Kenneth Galbraith. MIC, or military power as he prefers, is a coalition of vested interests within the state and industry that promoted the military power in the name of “national security” for their interests. Galbraith’s theory of giant corporations helps us understand the role of military corporations in the MIC. Moreover, he is a critical scholar in examining this topic because he was a political insider in the Roosevelt, Kennedy, and Johnson administrations and a prominent public intellectual against the Vietnam War. Against this background, this chapter has three parts. After explaining the development of military Keynesianism with respect to the main economic thoughts, it examines the history of the MIC and its impact on economic priorities during and after the Cold War through Galbraith’s works. Finally, this chapter discusses MIC’s relevancy today and evaluates Galbraith’s prophecies.

Details

Research in the History of Economic Thought and Methodology: Including a Symposium on John Kenneth Galbraith: Economic Structures and Policies for the Twenty-first Century
Type: Book
ISBN: 978-1-80455-931-4

Keywords

Article
Publication date: 26 January 2024

Charity P. Scott and Nicole Rodriguez Leach

Exploring how racism continues to persist throughout public and nonprofit organizations is central to undoing persistent society-wide injustices in the United States and around…

Abstract

Purpose

Exploring how racism continues to persist throughout public and nonprofit organizations is central to undoing persistent society-wide injustices in the United States and around the globe. The authors provide two cases for identifying and understanding the ways in which philanthropy’s whiteness does harm to K–12 students and communities of color.

Design/methodology/approach

In this article, the authors draw on critical race theory and critical whiteness studies, specifically Cheryl Harris' work to expose the whiteness of philanthropy, not as a racial identity, but in the way that philanthropy is performed. The authors characterize one of the property functions of whiteness, the right to exclude, as working through two mechanisms: neoliberal exclusion and overt exclusion. Drawing on this construction of the right to exclude, the authors present two cases: the Bill & Melinda Gates Foundation and the City Fund.

Findings

Whether intentional or not, the Gates Foundation and the City Fund each exclude communities of color in several ways: from changes to schools and districts, parents' experiences navigating school enrollment due to these changes, to academic assessments and political lobbying.

Originality/value

These cases provide a way for researchers and practitioners to see how organizations in real time reify the extant racial hierarchy so as to disrupt such organizational processes and practices for racial justice.

Details

Equality, Diversity and Inclusion: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7149

Keywords

Article
Publication date: 25 March 2024

Robert Ford and Lindsay Schakenbach Regele

This historical example of the creation of the arms industry in the Connecticut River Valley in the 1800s provides new insights into the value of government venture capital (GVC…

Abstract

Purpose

This historical example of the creation of the arms industry in the Connecticut River Valley in the 1800s provides new insights into the value of government venture capital (GVC) and government demand in creating a new industry. Since current theoretical explanations of the best uses of governmental venture capital are still under development, there is considerable need for further theory development to explain and predict the creation of an industry and especially those industries where failures in private capital supply necessitates governmental involvement in new firm creation. The purpose of this paper is to provide an in depth historical review of how the arms industry evolved spurred by GVC and government created demand.

Design/methodology/approach

This study uses abductive inference as the best way to build and test emerging theories and advancing theoretical explanations of the best uses of GVC and governmental demand to achieve socially required outcomes.

Findings

By observing this specific historical example in detail, the authors add to the understanding of value creation caused by governmental venture capital funding of existing theory. A major contribution of this paper is to advance theory based on detailed observation.

Originality/value

The relatively limited research literature and theory development on governmental venture capital funding and the critical success factors in startups are enriched by this abductive investigation of the creation of the historically important arms industry and its spillover into creating the specialized machine industry.

Details

Journal of Management History, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1751-1348

Keywords

Article
Publication date: 15 June 2023

Xi Zhang, Tianxue Xu, Xin Wei, Jiaxin Tang and Patricia Ordonez de Pablos

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge…

Abstract

Purpose

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

Design/methodology/approach

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

Findings

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

Originality/value

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

Details

Journal of Knowledge Management, vol. 28 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 15 December 2022

Jun Yang, Demei Kong and Hongjun Huang

Nowadays, online platforms which provide products or services try to implement their homegrown communities to facilitate users' social interactions. Reviewers' activities in these…

Abstract

Purpose

Nowadays, online platforms which provide products or services try to implement their homegrown communities to facilitate users' social interactions. Reviewers' activities in these communities can reflect their interests. Based on the theory of homophily, the authors aim to explore the impacts of the reviewer preference similarity and opinion similarity on the rate of product diffusion.

Design/methodology/approach

First, the authors construct reviewer similarity network based on their common interests and propose typical network metrics to measure reviewer preference similarity. Second, the authors measure reviewer opinion similarity with natural language processing. Finally, based on a panel data from an online video platform in China, both the fixed-effect and random-effect panel data models are constructed.

Findings

The authors find that reviewer preference similarity has a positive effect on the product diffusion, whereas reviewer opinion similarity has a negative effect on the diffusion. Furthermore, temporal distance moderates the relationship between reviewer similarity and the product diffusion. As a double-edged sword, review preference similarity hinders product diffusion in the initial phase, whereas benefits it in the later phase. Reviewer opinion similarity is always detrimental to product diffusion, especially in the initial phase.

Originality/value

This paper extends the understanding of homophily from the micro peer level to the group level by constructing reviewers' similarity network and highlights the important role of reviewer preference similarity and opinion similarity in product diffusion. The results also provide important insights for managers to design and implement diversity strategies for better product adoption in the community context.

Details

Information Technology & People, vol. 37 no. 1
Type: Research Article
ISSN: 0959-3845

Keywords

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