Effects of Leader Networking Behaviors and Vertical Faultlines on Support for Innovation

Chung, Yunhyung; Blasi, Joseph R.; Kruse, Douglas

doi:10.1177/1046496420915243

Cited by 11 publications

(7 citation statements)

References 87 publications

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“…The impact of these faultlines on psychological distance and intra-subgroup reciprocity was also limited at this early stage. This finding corresponds to those of Chung et al (2020) , Calabrò et al (2021) , and other scholars.…”

Section: Resultssupporting

confidence: 91%

Psychological Distance Impacts Subgroup Reciprocity in Technological Innovation Networks: The Mediating Role of Divisive Faultlines

Deng

Gao

et al. 2022

Front. Psychol.

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As information flows at ever-increasing speeds across technological innovation networks, it is crucial to optimize reciprocity among partnering enterprises. However, the impact of psychological distance on subgroup reciprocity in such networks has not yet been investigated. To address this gap, the current study drew on theories of faultlines and cohesive subgroups to model the relationship between psychological distance and subgroup reciprocity within technological innovation networks. Our hypotheses were tested using data from 174 respondents working in Yunnan Province, China. The results were as follows: first, psychological distance had negative effects on subgroup reciprocity in technological innovation networks; second, relationship-divisive and innovation-divisive faultlines negatively impacted reciprocity within and between subgroups; third, the faultlines partially mediated the negative relationship between psychological distance and intra-subgroup reciprocity; and fourth, the negative relationship between psychological distance and subgroup reciprocity was not mediated by the faultlines. The findings uncover the psychological mechanism of subgroup reciprocity within technological innovation networks. They will inform the decision-making process of enterprises when selecting partners within their technological innovation networks and support the development of effective reciprocal relationships with other innovators.

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Section: Resultssupporting

confidence: 91%

Psychological Distance Impacts Subgroup Reciprocity in Technological Innovation Networks: The Mediating Role of Divisive Faultlines

Deng

Gao

et al. 2022

Front. Psychol.

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“…For example, organizational support for innovation (OSI), namely 'the expectation, approval, and practical support of attempts to introduce new and improved ways of doing things in the work environment' [69] (p. 28), seems to be a key factor that can facilitate the adoption of new technologies [38]. Indeed, some studies found significant relationships among OSI and the usefulness/ease of use of technology [69][70][71][72], as well as intention to use [73]. On the contrary, a lack of organizational support can undermine the company's efforts to introduce new technology [38,74].…”

Section: Organizational Variablesmentioning

confidence: 99%

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Paganin

Simbula

2021

IJERPH

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Organizations are interested in finding new and more effective ways to promote the well-being of their workers, to help their workers manage work-related stress. New technologies (e.g., smartphones) are cheaper, allow more workers to be reached, and guarantee their anonymity. However, not all employees agree on the use of new technological interventions for the promotion of well-being. Consequently, organizations need to investigate technological acceptance before introducing these tools. By considering the technology acceptance model (TAM) framework, we investigate both the influence of workers’ perceived usefulness and ease of use on their intentions to use apps that help them managing work stress. Moreover, we contribute to the extension of this model by considering both personal (i.e., self-efficacy, personal innovativeness) and organizational (i.e., organizational support for innovation) variables. Our research involved 251 participants who completed an online self-report questionnaire. The results confirm the central hypothesis of the TAM and the influence of other variables that could influence acceptance of new technologies, such as apps that help manage work stress, and the intentions to use them. These results could help organizations ensure technological acceptance and usage by their workers, increasing the effectiveness of new technologies and interventions to promote well-being.

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“…They conceptualized faults as cross-job demographic dislocations and used data from a sample of 55 work units in a U.S. high-tech company to support a mediation model. In this model, the network behavior of senior leaders influenced innovativeness at the unit level through the network behavior of junior leaders [15].…”

Section: A Faultlinesmentioning

confidence: 99%

Research on Technological Divisive Faultlines in Cliques: Evidence From China’s Biomedical Industry Innovation Network

Zhao

Zheng

et al. 2022

IEEE Access

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Social identity theory and self-classification theory provide theoretical supports for explaining the formation and action of the technological divisive faultlines. The purpose of this study is to explore the effects of technological divisive faultlines on a clique's innovation performance and the moderating effects of geographical proximity and closeness centrality. The data of 119 firm alliance and 351 firms in cliques are collected in China's biomedical industry from 2010-2017. Then, we perform the negative binomial regression by STATA software with these data as samples. The results show that there is an inverted U-shaped relationship between the technological divisive faultlines and clique's innovation performance; geographical proximity has no moderating effect on the inverted U-shaped relationship; closeness centrality has a significant negative moderating effect on the inverted U-shaped relationship between them. Besides, it suggests that the clique's innovation performance under high closeness centrality is higher than that under low closeness centrality, which provides a new perspective for the previous research that forming cliques could break the relational redundancy.

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Effects of Leader Networking Behaviors and Vertical Faultlines on Support for Innovation

Cited by 11 publications

References 87 publications

Psychological Distance Impacts Subgroup Reciprocity in Technological Innovation Networks: The Mediating Role of Divisive Faultlines

Psychological Distance Impacts Subgroup Reciprocity in Technological Innovation Networks: The Mediating Role of Divisive Faultlines

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Research on Technological Divisive Faultlines in Cliques: Evidence From China’s Biomedical Industry Innovation Network

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