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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

Abstract

Details

Fractal Leadership
Type: Book
ISBN: 978-1-83797-108-4

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: 9 August 2022

Hanieh Javadi Khasraghi, Xuan Wang, Jun Sun and Bahar Javadi Khasraghi

To obtain optimal deliverables, more and more crowdsourcing platforms allow contest teams to submit tentative solutions and update scores/rankings on public leaderboards. Such…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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

Details

Information Technology & People, vol. 36 no. 6
Type: Research Article
ISSN: 0959-3845

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

Book part
Publication date: 27 November 2023

Minita Sanghvi and Nancy Hodges

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French

Abstract

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.

Details

The Emerald Handbook of Appearance in the Workplace
Type: Book
ISBN: 978-1-80071-174-7

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

Open Access
Article
Publication date: 4 January 2022

Philip Roth

Informal knowledge sharing interactions (IKSI) are of particular value for innovation projects. This is especially true for unplanned IKSI, because they are even more likely to…

1267

Abstract

Purpose

Informal knowledge sharing interactions (IKSI) are of particular value for innovation projects. This is especially true for unplanned IKSI, because they are even more likely to provide non-redundant knowledge and new perspectives than planned IKSI. Seminal studies have shown that the formation of unplanned IKSI can be explained on the basis of spatial structures. Strictly speaking, however, these studies only explain unplanned encounters. Whether unplanned IKSI result from these unplanned encounters, though, cannot be satisfactorily explained on the basis of spatial configurations alone. The purpose of this paper is to tackle this explanatory gap by unraveling the fundamental social processes by application of the symbolic interaction theory.

Design/methodology/approach

For this purpose, the formation of 132 IKSI on innovation projects from three research and development departments of large companies was recorded in detail using a combination of diaries and interviews. The data were analyzed using qualitative content analysis.

Findings

The analysis reveals that IKSI cause symbolic costs (image damages), and that these costs vary between types of social situations. Because actors anticipate situation-specific costs, their propensity to initiate IKSI can be explained in terms of the situations in which they encounter one another. Furthermore, the analysis reveals six particularly relevant characteristics of situations and further elaborates the basic argument by analyzing their functioning.

Originality/value

The paper complements previous explanations of unplanned IKSI by opening up the social processes underlying their formation.

Details

European Journal of Innovation Management, vol. 26 no. 7
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 19 October 2023

Ace Vo and Miloslava Plachkinova

The purpose of this study is to examine public perceptions and attitudes toward using artificial intelligence (AI) in the US criminal justice system.

Abstract

Purpose

The purpose of this study is to examine public perceptions and attitudes toward using artificial intelligence (AI) in the US criminal justice system.

Design/methodology/approach

The authors took a quantitative approach and administered an online survey using the Amazon Mechanical Turk platform. The instrument was developed by integrating prior literature to create multiple scales for measuring public perceptions and attitudes.

Findings

The findings suggest that despite the various attempts, there are still significant perceptions of sociodemographic bias in the criminal justice system and technology alone cannot alleviate them. However, AI can assist judges in making fairer and more objective decisions by using triangulation – offering additional data points to offset individual biases.

Social implications

Other scholars can build upon the findings and extend the work to shed more light on some problems of growing concern for society – bias and inequality in criminal sentencing. AI can be a valuable tool to assist judges in the decision-making process by offering diverse viewpoints. Furthermore, the authors bridge the gap between the fields of technology and criminal justice and demonstrate how the two can be successfully integrated for the benefit of society.

Originality/value

To the best of the authors’ knowledge, this is among the first studies to examine a complex societal problem like the introduction of technology in a high-stakes environment – the US criminal justice system. Understanding how AI is perceived by society is necessary to develop more transparent and unbiased algorithms for assisting judges in making fair and equitable sentencing decisions. In addition, the authors developed and validated a new scale that can be used to further examine this novel approach to criminal sentencing in the future.

Details

Journal of Information, Communication and Ethics in Society, vol. 21 no. 4
Type: Research Article
ISSN: 1477-996X

Keywords

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