期刊,Information technology & management 2025年26卷2期_国家学术搜索

The impact of open innovation on innovation performance: the chain mediating effect of knowledge field activity and knowledge transfer

Shuang WangShukuan ZhaoXueyuan FanBochen Zhang...

139-161页

查看更多>>摘要：In the era of innovation, the application of open innovation is gradually becoming the main source of innovation. This paper investigates how degrees of variation in the depth and breadth of open innovation affect firms' innovation performance, in addition to the mechanism of the activity in the knowledge field and the chain mediating role of knowledge transfer in this process. This paper collects data from 283 Chinese firms using a questionnaire survey commissioned by Chinese industry associations, heads of relevant listed companies, and the Questionnaire Star platform, and develops a chain mediation model to test the hypotheses. The analysis results demonstrate that both the breadth and depth of open innovation have a significant positive impact on firms' innovation performance. Additionally, knowledge field activity and knowledge transfer assume the role of chain mediators in this process. This paper investigates the different effects of the depth and breadth of open innovation on innovation performance, further analyzing the mechanism of the effect on innovation performance under the influence of chain mediation of knowledge field activity and knowledge transfer, providing valuable insights for both innovation management research and practice.

原文链接:

NETL
NSTL
Springer Nature

The impact of open innovation on innovation performance: the chain mediating effect of knowledge field activity and knowledge transfer

Shuang WangShukuan ZhaoXueyuan FanBochen Zhang...

139-161页

查看更多>>摘要：In the era of innovation, the application of open innovation is gradually becoming the main source of innovation. This paper investigates how degrees of variation in the depth and breadth of open innovation affect firms' innovation performance, in addition to the mechanism of the activity in the knowledge field and the chain mediating role of knowledge transfer in this process. This paper collects data from 283 Chinese firms using a questionnaire survey commissioned by Chinese industry associations, heads of relevant listed companies, and the Questionnaire Star platform, and develops a chain mediation model to test the hypotheses. The analysis results demonstrate that both the breadth and depth of open innovation have a significant positive impact on firms' innovation performance. Additionally, knowledge field activity and knowledge transfer assume the role of chain mediators in this process. This paper investigates the different effects of the depth and breadth of open innovation on innovation performance, further analyzing the mechanism of the effect on innovation performance under the influence of chain mediation of knowledge field activity and knowledge transfer, providing valuable insights for both innovation management research and practice.

原文链接:

NETL
NSTL
Springer Nature

AI adoption and labor cost stickiness: based on natural language and machine learning

Haonan WangFangjuan Qiu

163-184页

查看更多>>摘要：Whether Artificial Intelligence (AI) displaces or augments employment is controversial. We add to this topical debate on AI-employment nexus by examining the effect of firms' AI adoption on labor force decisions through the lens of cost stickiness. Utilizing a novel machine learning technique and textual analysis, we quantify and validate a firm-level AI adoption measure based on the annual reports of Chinese A-share listed firms during the period of 2006-2020. Then we employ this measure to empirically test the impact of AI adoption on labor cost stickiness. We find that firms' AI adoption increases labor cost stickiness. The result is more significant for firms that have a higher share of employees with a higher educational degree, are more capital-intensive, and reside in regions with a higher degree of aging. Our results remain robust after addressing endogeneity concerns, controlling for alternative explanations and replacing main variables. Furthermore, our inferences persist for other cost categories, but the effect is more significant for SG&A than operating cost. This paper sheds light on AI's firm-level consequence on the labor market and cost management.

原文链接:

NETL
NSTL
Springer Nature

AI adoption and labor cost stickiness: based on natural language and machine learning

Haonan WangFangjuan Qiu

163-184页

查看更多>>摘要：Whether Artificial Intelligence (AI) displaces or augments employment is controversial. We add to this topical debate on AI-employment nexus by examining the effect of firms' AI adoption on labor force decisions through the lens of cost stickiness. Utilizing a novel machine learning technique and textual analysis, we quantify and validate a firm-level AI adoption measure based on the annual reports of Chinese A-share listed firms during the period of 2006-2020. Then we employ this measure to empirically test the impact of AI adoption on labor cost stickiness. We find that firms' AI adoption increases labor cost stickiness. The result is more significant for firms that have a higher share of employees with a higher educational degree, are more capital-intensive, and reside in regions with a higher degree of aging. Our results remain robust after addressing endogeneity concerns, controlling for alternative explanations and replacing main variables. Furthermore, our inferences persist for other cost categories, but the effect is more significant for SG&A than operating cost. This paper sheds light on AI's firm-level consequence on the labor market and cost management.

原文链接:

NETL
NSTL
Springer Nature

How does competition enable social comparison? A comparison of behavior in competitive internet-based games

Yi-Hsuan LeeWen-Ying ChangShangRu Li

185-204页

查看更多>>摘要：This study investigated how different narcissistic personality types (grandiose and vulnerable) create differences in comparison behaviors. Taking social comparison theory as a starting point, this study extends the research on competitive games by exploring how different personalities operate in competitive contexts and analyzing the correlation between manifested behaviors and self-presentation tactics. This study adopted questionnaires and purposive sampling for analysis. Students from four higher education classes were the sample in the first survey, during which we hosted a Hole.io competition in order to have a preliminary understanding of participants' social comparison and impression management behaviors in the context of a competitive game. For Survey 2, we employed the well-known game League of Legends to investigate its players' social comparison and self-presentation tactics. Differences were found in the upward and downward comparison tendencies of different personalities in the first and second surveys. In the area of impression management, both surveys found that upward and downward comparison behaviors related to different self-presentation tactics.

原文链接:

NETL
NSTL
Springer Nature

How does competition enable social comparison? A comparison of behavior in competitive internet-based games

Yi-Hsuan LeeWen-Ying ChangShangRu Li

185-204页

查看更多>>摘要：This study investigated how different narcissistic personality types (grandiose and vulnerable) create differences in comparison behaviors. Taking social comparison theory as a starting point, this study extends the research on competitive games by exploring how different personalities operate in competitive contexts and analyzing the correlation between manifested behaviors and self-presentation tactics. This study adopted questionnaires and purposive sampling for analysis. Students from four higher education classes were the sample in the first survey, during which we hosted a Hole.io competition in order to have a preliminary understanding of participants' social comparison and impression management behaviors in the context of a competitive game. For Survey 2, we employed the well-known game League of Legends to investigate its players' social comparison and self-presentation tactics. Differences were found in the upward and downward comparison tendencies of different personalities in the first and second surveys. In the area of impression management, both surveys found that upward and downward comparison behaviors related to different self-presentation tactics.

原文链接:

NETL
NSTL
Springer Nature

Healthcare professionals satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study

Nisar AhmadShaofu DuFawad AhmedNoor ul Amin...

205-217页

查看更多>>摘要：The entire world's focus has shifted to a digital health management system after the COVID-19 pandemic and crisis management through information systems that provide potential health support and minimize the effects of similar healthcare emergencies. Artificial intelligence (AI) can create alternative techniques such as Clinical Decision Support System (CDSS), which can aid complex scenarios such as large volumes of data, information accuracy, patient turnover, and health management regimes. CDSS uses an Al-based health information system that is helpful, fast, effective, and offers advanced techniques in emergencies and pandemics such as COVID-19. Therefore, it is essential to analyze mechanisms that can influence the degree of health care professionals (HCP) satisfaction and intention to adopt CDSS. Based on DeLone and McLean's information system success model (D&M and ISSM), the researchers recruited 237 on-duty HCP from three major hospitals in Wuhan, China, in 2021. Data is collected through an online survey questionnaire with the consent of the hospital administration. The empirical findings show the strong influence of IS qualities (system, information, and service quality) and user satisfaction. These findings support the foundation for CDSS adoption in developing countries.

原文链接:

NETL
NSTL
Springer Nature

Healthcare professionals satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study

Nisar AhmadShaofu DuFawad AhmedNoor ul Amin...

205-217页

查看更多>>摘要：The entire world's focus has shifted to a digital health management system after the COVID-19 pandemic and crisis management through information systems that provide potential health support and minimize the effects of similar healthcare emergencies. Artificial intelligence (AI) can create alternative techniques such as Clinical Decision Support System (CDSS), which can aid complex scenarios such as large volumes of data, information accuracy, patient turnover, and health management regimes. CDSS uses an Al-based health information system that is helpful, fast, effective, and offers advanced techniques in emergencies and pandemics such as COVID-19. Therefore, it is essential to analyze mechanisms that can influence the degree of health care professionals (HCP) satisfaction and intention to adopt CDSS. Based on DeLone and McLean's information system success model (D&M and ISSM), the researchers recruited 237 on-duty HCP from three major hospitals in Wuhan, China, in 2021. Data is collected through an online survey questionnaire with the consent of the hospital administration. The empirical findings show the strong influence of IS qualities (system, information, and service quality) and user satisfaction. These findings support the foundation for CDSS adoption in developing countries.

原文链接:

NETL
NSTL
Springer Nature

Coping or threat? Unraveling the mechanisms enabling user acceptance of blockchain technologies

Soo Jung OhShufeng (Simon) XiaoByung Il ParkTaewoo Ron...

219-233页

查看更多>>摘要：Blockchain technology is rapidly emerging as one of the leading-edge technologies with various advantages that are highly applicable in various sectors. However, such benefits of blockchain also involve security and privacy concerns and could thus hinder the use of technology. Existing studies have made considerable efforts to understand the main aspects of blockchain adoption and acceptance using various theoretical models. However, studies considering users' privacy and security concerns are considerably more scarce. To fill this important gap, we analyze factors influencing users' intention to use blockchain regarding privacy and security concerns by bridging two theories, namely protection motivation theory (PMT) and task-technology fit (TTF) theory. Using survey data from 306 blockchain users in China, we employed structural equation modeling to empirically test our hypotheses. Results show that TTF positively impacts users' invulnerability and self-efficacy, leading to blockchain transparency and increasing users' intention to use the blockchain. This study provides useful theoretical and practical implications by suggesting that the relationship between TTF and PMT can serve as a theoretical background for adopting blockchain, and TTF can help business managers manage users' security and privacy concerns.

原文链接:

NETL
NSTL
Springer Nature

Coping or threat? Unraveling the mechanisms enabling user acceptance of blockchain technologies

Soo Jung OhShufeng (Simon) XiaoByung Il ParkTaewoo Ron...

219-233页

查看更多>>摘要：Blockchain technology is rapidly emerging as one of the leading-edge technologies with various advantages that are highly applicable in various sectors. However, such benefits of blockchain also involve security and privacy concerns and could thus hinder the use of technology. Existing studies have made considerable efforts to understand the main aspects of blockchain adoption and acceptance using various theoretical models. However, studies considering users' privacy and security concerns are considerably more scarce. To fill this important gap, we analyze factors influencing users' intention to use blockchain regarding privacy and security concerns by bridging two theories, namely protection motivation theory (PMT) and task-technology fit (TTF) theory. Using survey data from 306 blockchain users in China, we employed structural equation modeling to empirically test our hypotheses. Results show that TTF positively impacts users' invulnerability and self-efficacy, leading to blockchain transparency and increasing users' intention to use the blockchain. This study provides useful theoretical and practical implications by suggesting that the relationship between TTF and PMT can serve as a theoretical background for adopting blockchain, and TTF can help business managers manage users' security and privacy concerns.

原文链接:

NETL
NSTL
Springer Nature