“…Social media serves as an instant communication channel that enables prompt feedback on newly created knowledge from collaborators (Chen et al, 2021), facilitating its dissemination, refinement, and development (Sigala & Chalkiti, 2015). This iterative cycle of knowledge generation and refinement motivates participants to engage in collaborative endeavors with the intention of strategically allocating knowledge resources and collectively formulating inventive outcomes (Ode & Ayavoo, 2020;Pigola & Da Costa, 2022), leading to a heightened level of collaborative innovation capability. Organizations with lower levels of social media use may experience relative isolation of knowledge within departments or teams, hindering its spread (Van Osch & Steinfield, 2016).…”
Section: Moderating Role Of Social Media Usementioning
confidence: 99%
“…For example, Skippari et al (2017) delved into relations and networks (which increase firms' accessibility to new knowledge sources). Pigola and Da Costa (2022) put forth organizational learning (where experience-based learning triggers knowledge utilization), whereas Wang and Hu (2020) proposed partnering orientation (which ensures knowledge sharing in a shared-vision culture).…”
“…Effectively utilizing knowledge is indeed the requirement for building resilient supply chains. Organizations leverage their knowledge of historical cases and events to proactively identify and assess potential risks in the supply chain, drawing insights from past experiences to understand the causes and consequences of disruptions (Pigola & Da Costa, 2022;Shujahat et al, 2019). This knowledge aids in forecasting market trends and environmental dynamism (Deng et al, 2023), enabling organizations to anticipate and mitigate risks and thus maintain operational flow even amid disruptions.…”
Section: Hypothesis Development Km Positively Influences Scrmentioning
Disruption events highlight the importance of supply chain resilience (SCR) and leave managers wondering what characteristics can help firms survive and recover. This study employs the knowledge-based theory to investigate factors contributing to SCR. Using data collected from 220 manufacturing firms in China, this study empirically examines the proposed research model. Results indicate KM processes (i.e., creation, sharing, utilization) significantly influence SCR, with collaborative innovation capability (CIC) mediating the relationship between KM and SCR. Interestingly, social media use positively moderates the relationship between knowledge sharing/utilization and CIC, while this effect is absent for the relationship between knowledge creation and CIC. These findings enrich the existing literature on knowledge management and supply chain management, offering managerial insights for effective knowledge strategies and resilience improvement.
“…Social media serves as an instant communication channel that enables prompt feedback on newly created knowledge from collaborators (Chen et al, 2021), facilitating its dissemination, refinement, and development (Sigala & Chalkiti, 2015). This iterative cycle of knowledge generation and refinement motivates participants to engage in collaborative endeavors with the intention of strategically allocating knowledge resources and collectively formulating inventive outcomes (Ode & Ayavoo, 2020;Pigola & Da Costa, 2022), leading to a heightened level of collaborative innovation capability. Organizations with lower levels of social media use may experience relative isolation of knowledge within departments or teams, hindering its spread (Van Osch & Steinfield, 2016).…”
Section: Moderating Role Of Social Media Usementioning
confidence: 99%
“…For example, Skippari et al (2017) delved into relations and networks (which increase firms' accessibility to new knowledge sources). Pigola and Da Costa (2022) put forth organizational learning (where experience-based learning triggers knowledge utilization), whereas Wang and Hu (2020) proposed partnering orientation (which ensures knowledge sharing in a shared-vision culture).…”
“…Effectively utilizing knowledge is indeed the requirement for building resilient supply chains. Organizations leverage their knowledge of historical cases and events to proactively identify and assess potential risks in the supply chain, drawing insights from past experiences to understand the causes and consequences of disruptions (Pigola & Da Costa, 2022;Shujahat et al, 2019). This knowledge aids in forecasting market trends and environmental dynamism (Deng et al, 2023), enabling organizations to anticipate and mitigate risks and thus maintain operational flow even amid disruptions.…”
Section: Hypothesis Development Km Positively Influences Scrmentioning
Disruption events highlight the importance of supply chain resilience (SCR) and leave managers wondering what characteristics can help firms survive and recover. This study employs the knowledge-based theory to investigate factors contributing to SCR. Using data collected from 220 manufacturing firms in China, this study empirically examines the proposed research model. Results indicate KM processes (i.e., creation, sharing, utilization) significantly influence SCR, with collaborative innovation capability (CIC) mediating the relationship between KM and SCR. Interestingly, social media use positively moderates the relationship between knowledge sharing/utilization and CIC, while this effect is absent for the relationship between knowledge creation and CIC. These findings enrich the existing literature on knowledge management and supply chain management, offering managerial insights for effective knowledge strategies and resilience improvement.
“…Team learning climate is defined as a shared perception of team members that the organization promotes, supports, and rewards their learning behaviors ( Peng and Chen, 2022 ). It has been suggested that the learning climate is a precursor to producing valuable outcomes ( Cangialosi et al, 2020 ) and an important potential mechanism for innovative behavior ( Pigola and Da Costa, 2022 ). There are few corresponding studies on the mechanisms of team learning climate on innovation performance.…”
To address the fierce competition for corporate innovation in the digital economy, this study introduces knowledge integration capability as a mediating variable in light of social information processing theory, and explores the mechanism of team learning climate on innovation performance. Data were collected from a sample of 184 team members for statistical analysis, and Statistical methods such as descriptive statistical analysis, correlation analysis, and regression analysis were used to verify the study hypotheses through SPSS and Amos software, and the results showed that: (1) Team learning climate has a significant positive effect on knowledge integration capability. (2) Team learning climate has a significant positive effect on innovation performance. (3) Knowledge integration capability has a significant positive effect on innovation performance. (4) Knowledge integration capability partially mediates the role between team learning climate and innovation performance. The results proved the perspective of knowledge integration capability for the mechanism of team learning climate on innovation performance from the perspective of knowledge integration capability, and provided theoretical references for creating a learning climate in companies to promote members’ knowledge learning and enhance innovation performance.
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