Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social n...Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information,and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers’ social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer’s risk perceptions at middle and higher levels,respectively. Results also show that the "ripple effect" extended to effect of risk events with negative information, however,did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.展开更多
In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embed...In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embeddedness”to describe this trend.Unlike traditional strategic resources,which are constrained by high-value,relatively static,restricted flow,and exclusivity,digital resources demonstrate superior fluidity,non-rivalrous access,and high value-driven interdependencies.To bridge this theoretical gap,this study examines the distinctive attributes of digital resources through the dual lenses of resource orchestration theory and dynamic capability theory.Specifically,it proposes big data capability as a mediating mechanism and organizational structure flexibility as a critical moderating factor.Developing this integrated research framework aims to elucidate the underlying mechanisms through which digital innovation network embeddedness dynamically shapes new product development(NPD)performance.Ultimately,this study seeks to advance theoretical understanding and provide actionable insights for digitally empowered manufacturing enterprises to enhance their NPD outcomes.The framework is tested using data from 559 manufacturing enterprises located in South China.There are three findings.(1)An inverted U-shaped relationship exists between digital innovation network structure and NPD performance,and between relationship embeddedness and NPD performance,respectively.(2)Big data capability mediates the relationship between moderate levels of digital innovation network embeddedness and NPD performance.However,at high levels of digital innovation network embeddedness,big data capability does not significantly mediate the relationship between digital innovation network structure/relationship embeddedness and NPD performance,respectively.(3)Organizational structure flexibility positively moderates the relationship between digital innovation network relationship embeddedness,big data capability,and NPD performance.Moreover,while mediated moderation occurred,the direct moderation effect on digital innovation network embeddedness is nonsignificant.The conclusions of this study provide insights for manufacturing enterprises seeking to enhance NPD performance within the context of digital innovation network embeddedness.展开更多
基金support from the National Natural Science Foundation of China (71773109, 71703150 and 71633002)the support from the Fundamental Research Funds for the Central Universities, China
文摘Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information,and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers’ social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer’s risk perceptions at middle and higher levels,respectively. Results also show that the "ripple effect" extended to effect of risk events with negative information, however,did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
基金supported by the Post-Funded Project of the National Social Science Fund of China(No.23FGLB088)the General Project of the National Natural Science Foundation of China(No.71974059)+2 种基金the Ministry of Education in China Liberal Arts and Social Sciences Foundation(No.23YJA630124)the Development of Philosophy and Social Sciences in Guangzhou in 2021(No.2021GZYB12)the Guangdong Basic and Applied Basic Research Foundation(No.2024A1515030110).
文摘In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embeddedness”to describe this trend.Unlike traditional strategic resources,which are constrained by high-value,relatively static,restricted flow,and exclusivity,digital resources demonstrate superior fluidity,non-rivalrous access,and high value-driven interdependencies.To bridge this theoretical gap,this study examines the distinctive attributes of digital resources through the dual lenses of resource orchestration theory and dynamic capability theory.Specifically,it proposes big data capability as a mediating mechanism and organizational structure flexibility as a critical moderating factor.Developing this integrated research framework aims to elucidate the underlying mechanisms through which digital innovation network embeddedness dynamically shapes new product development(NPD)performance.Ultimately,this study seeks to advance theoretical understanding and provide actionable insights for digitally empowered manufacturing enterprises to enhance their NPD outcomes.The framework is tested using data from 559 manufacturing enterprises located in South China.There are three findings.(1)An inverted U-shaped relationship exists between digital innovation network structure and NPD performance,and between relationship embeddedness and NPD performance,respectively.(2)Big data capability mediates the relationship between moderate levels of digital innovation network embeddedness and NPD performance.However,at high levels of digital innovation network embeddedness,big data capability does not significantly mediate the relationship between digital innovation network structure/relationship embeddedness and NPD performance,respectively.(3)Organizational structure flexibility positively moderates the relationship between digital innovation network relationship embeddedness,big data capability,and NPD performance.Moreover,while mediated moderation occurred,the direct moderation effect on digital innovation network embeddedness is nonsignificant.The conclusions of this study provide insights for manufacturing enterprises seeking to enhance NPD performance within the context of digital innovation network embeddedness.
