The impact of demand-pull and technology-push policies on firms’ knowledge search

Hoppmann, Joern; Wu, Geng; Johnson, Jillian A.

doi:10.1016/j.techfore.2021.120863

Cited by 15 publications

(7 citation statements)

References 102 publications

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“…In addition, external knowledge acquired by proactive boundary-spanning search enhances firms' ability to cultivate external awareness (Barasa et al, 2018) and predict latent emergencies in advance (Hillmann, 2021), thus building precursor resilience. However, excessive proactive boundary-spanning search will lead to knowledge redundancy, and it will be difficult for firms to identify the most valuable information from redundant knowledge (Ferreras-Méndez et al, 2016), which will narrow firms' attention (Hoppmann et al, 2021) and then hamper firms' ability to predict and handle potential emergencies. Moreover, too little proactive boundary-spanning search cannot enable firms to accurately identify and predict the trend of environmental changes, which further makes it difficult for firms to take proactive actions for unexpected events, and then impede precursor resilience.…”

Section: Proactive Boundary-spanning Search and Organizational Resili...mentioning

confidence: 99%

“…Thus, radical green innovation will be fostered. Third, by conducting proactive boundary‐spanning search, firms can identify the government's green subsidies, market access, emission standards and relevant laws and regulations in advance (Hoppmann et al, 2021) and improve the sensitivity of their green activities, thereby realizing radical green innovation.…”

Section: Research Hypothesesmentioning

confidence: 99%

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Can proactive boundary‐spanning search enhance green innovation? The mediating role of organizational resilience

2022

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Green innovation is critical for firms' sustainable development, and its antecedents have attracted extensive attention. However, how proactive boundary-spanning search enhances firms' green innovation remains unclear. Building on the resourcebased view and dynamic capabilities theory, we explore the impact of proactive boundary-spanning search on firms' green innovation and investigate the mediating role of two types of organizational resilience. Survey data are collected from 218 manufacturing firms in China, and hierarchical regression and bootstrap analysis are used to test hypotheses. The results demonstrate that proactive boundaryspanning search not only has an inverted U-shaped relationship with radical green innovation and incremental green innovation, but also has an inverted U-shaped relationship with precursor resilience and improvisation resilience. Moreover, the results show that precursor resilience and improvisation resilience partially mediate the inverted U-shaped relationship between proactive boundary-spanning search and the two types of green innovation. This research reveals the nonlinear relationship between proactive boundary-spanning search and green innovation, which enriches the research of green innovation by considering organizational resilience.

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Section: Proactive Boundary-spanning Search and Organizational Resili...mentioning

confidence: 99%

Section: Research Hypothesesmentioning

confidence: 99%

Can proactive boundary‐spanning search enhance green innovation? The mediating role of organizational resilience

2022

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“…Knowledge search, referring to the process of identifying, recombining and integrating knowledge (Hoppmann et al ., 2021), is a vital guarantee for enterprises to improve innovation abilities and competitive advantages (Segarra-Ciprés and Bou-Llusar, 2018). It can convert the collected knowledge into new resources that are beneficial for enterprises to improve market information sensitivity, responding to the make changes promptly and quickly (Barrick and Spilker, 2003; Luo et al ., 2017; Xi et al.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Impact of digital capability on firm resilience: the moderating role of coopetition behavior

Chen,

Pan,

Liu

et al. 2023

BPMJ

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PurposeIn the digital economy, digital capability has become an important dynamic capability of enterprises and plays an essential role in enhancing firm resilience. This study aims to investigate the relationships among digital capability, knowledge search, coopetition behavior and firm resilience based on knowledge-based view and resource-based view.Design/methodology/approachThis study uses the hierarchical regression and bootstrapping methods to test the theoretical framework and research hypotheses. The survey data were collected from 241 Chinese enterprises.FindingsDigital capability has significantly positive effects on knowledge search and firm resilience. Knowledge search positively affects firm resilience and partially mediates the relationship between digital capability and firm resilience. Coopetition behavior weakens the relationship between digital capability and knowledge search, and the mediating effect of knowledge search in the relationship between digital capability and firm resilience. The moderating effect of coopetition behavior on the relationship between digital capability and firm resilience is insignificant.Originality/valueThis study clarifies the effect of digital capability on firm resilience and uncovers the “black box” from digital capability to firm resilience. In addition, this research enriches the literature on digital capability and firm resilience and expands the application of knowledge-based view and resource-based view in the digital context.

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“…Knowledge learning can help enterprises consciously formulate strategies to adapt to the dynamic changes of the environment, build competitive ability and enhance the competitive advantage of enterprises [41]. Knowledge learning also influences enterprises' essential innovation performance and evolution of technological trajectory [42]. The extension of knowledge learning to the environmental field is environmental knowledge learning, which includes the whole process of acquisition, absorption, and utilization of ecological resources [43][44][45].…”

Section: Literature Review and Research Hypothesis Developmentmentioning

confidence: 99%

Investigation of Nexus between Knowledge Learning and Enterprise Green Innovation Based on Meta-Analysis with a Focus on China

Zhang

Sun

et al. 2022

Energies

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Knowledge learning is a vital pre-factor and the driving force of green enterprise innovation; hence, meriting the numerous academic research and accumulated relevant literature. In this paper, the meta-analysis methodology was used to explore the direction and intensity of the influence of knowledge learning on green enterprise innovation, taking 32 independent documents as research samples. Meta-analysis results showed that the search breadth and the search depth of green resources and the green resources absorption and integration have significant positive effects on the green innovation of enterprises, among which green resources absorption and integration were the most important. Further, the research on the moderating effect found that the measurement method of green innovation affected the relationship between knowledge learning and green enterprise innovation; however, the moderating effect of the research object was not pronounced.

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The impact of demand-pull and technology-push policies on firms’ knowledge search

Cited by 15 publications

References 102 publications

Can proactive boundary‐spanning search enhance green innovation? The mediating role of organizational resilience

Can proactive boundary‐spanning search enhance green innovation? The mediating role of organizational resilience

Impact of digital capability on firm resilience: the moderating role of coopetition behavior

Investigation of Nexus between Knowledge Learning and Enterprise Green Innovation Based on Meta-Analysis with a Focus on China

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