网络舆论关注对企业双元创新的非对称影响研究

蒋舒阳, 庄亚明, 王虎

科研管理 ›› 2024, Vol. 45 ›› Issue (11) : 119-129.

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科研管理 ›› 2024, Vol. 45 ›› Issue (11) : 119-129. DOI: 10.19571/j.cnki.1000-2995.2024.11.012

网络舆论关注对企业双元创新的非对称影响研究

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Research on the asymmetric impacts of Internet public opinion attention on enterprises' dual innovation

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摘要

随着数字化浪潮引发信息媒介的深刻变革,以公众为主体的网络舆论关注可能为企业创新活动带来额外机会与压力。为此,结合眼球效应与压力效应构建了系统理论框架,并以2011—2019年沪深A股的5个高技术行业为样本,采用面板回归模型考察了网络舆论关注对企业双元创新的影响,以及高管社会网络嵌入带来的边界。得出以下结论:网络舆论关注与企业探索性创新之间存在倒U型关系,但对利用性创新产生持续正向影响;高管社会网络嵌入正向调节了上述关系;进一步研究表明网络舆论关注的冲击在绩效逆差企业与民营企业中更显著,且网络舆论环境是制约创新平衡模式有效性的重要外部因素。研究结论丰富了社交媒体时代双元创新的相关理论,并为企业与政府相关部门辩证应对这种外部冲击提供思路。

Abstract

With the wave of digitalization triggering profound changes in the information media, Internet public opinion attention may bring additional opportunities and pressures on enterprises' innovation activities. In order to explore the intrinsic relationship, this study constructed a systematic theoretical framework by combining the eyeball effect and the pressure effect, and used a panel regression model to examine the impact of Internet public opinion attention on enterprises' dual innovation and the boundaries brought by the embeddedness of the executives' social networks, by using a sample of five high-technology industries in the A-shares of Shanghai and Shenzhen in the period of 2011-2019. The key findings of this study are as follows: firstly, there is an inverted U-shaped relationship between Internet public opinion and enterprises' explorative innovation, but a sustained positive impact on exploitative innovation. Secondly, executive social networks embedding positively moderates the above relationship. Further research showed that the impact of Internet public opinion attention is more significant in the performance-deficit firms and non-state firms, and that the Internet public opinion environment is an important external factor constraining the effectiveness of the innovation balance model. The findings of the study will enrich the theories related to dual innovation in the social media era and will provide ideas for enterprises and relevant government departments to dialectically cope with this external shock.

关键词

网络舆论关注 / 探索性创新 / 利用性创新 / 高管社会网络

Key words

Internet public opinion attention / explorative innovation / exploitative innovation / executive social networks

引用本文

导出引用
蒋舒阳, 庄亚明, 王虎. 网络舆论关注对企业双元创新的非对称影响研究[J]. 科研管理. 2024, 45(11): 119-129 https://doi.org/10.19571/j.cnki.1000-2995.2024.11.012
Jiang Shuyang, Zhuang Yaming, Wang Hu. Research on the asymmetric impacts of Internet public opinion attention on enterprises' dual innovation[J]. Science Research Management. 2024, 45(11): 119-129 https://doi.org/10.19571/j.cnki.1000-2995.2024.11.012
中图分类号: F272.3   

参考文献

[1]
焦媛媛, 闫鑫, 李智慧. 新产品扩散视域下的同侪影响:维度厘定与量表开发:基于社交网络情境[J]. 管理工程学报, 2023, 37(2):11-21.
JIAO Yuanyuan, YAN Xin, LI Zhihui. Peer influence from the perspective of new product diffusion: Dimension determination and scale development based on the context of social networks[J]. Journal of Industrial Engineering/ Engineering Management, 2023, 37(2): 11-21.
[2]
潘红波, 杨海霞. 利益相关者“创新关注”促进了企业创新吗:来自深交所“互动易”的证据[J]. 南开管理评论, 2022, 25(3):85-96.
PAN Hongbo, YANG Haixia. Can stakeholders' attention to innovation improve corporate innovation? Evidence fromirm.cninfo.com. cn under SSE[J]. Nankai Business Review, 2022, 25(3):85-96.
[3]
杨道广, 陈汉文, 刘启亮. 媒体压力与企业创新[J]. 经济研究, 2017, 52(8):125-139.
YANG Daoguang, CHEN Hanwen, LIU Qiliang. Media pressure and corporate innovation[J]. Economic Research Journal, 2017, 52(8):125-139.
[4]
谢芳. 金融分析师关注、独立性与企业创新质量[J]. 南开经济研究, 2021(3):162-176.
XIE Fang. Analyst coverage, independence and innovation quality[J]. Nankai Economic Studies, 2021(3):162-176.
[5]
尹寒, 杨军. 试论自媒体时代网络舆论群体极化及其引导机制[J]. 湖北社会科学, 2023(2):163-168.
YIN Han, YANG Jun. On the polarization of internet public opinion group and its guiding mechanism in the era of self media[J]. Hubei Social Sciences, 2023(2):163-168.
[6]
王凤荣, 马骏, 李亚飞. 网络舆论关注能否促进企业技术创新:基于沪深上市公司的实证研究[J]. 山东社会科学, 2022(8):126-137.
WANG Rongfeng, MA Jun, LI Yafei. Can internet public opinion promote corporate technological innovation: An empirical study based on listed companies in Shanghai and Shenzhen[J]. Shandong Social Science, 2022(8):126-137.
[7]
江轩宇, 朱琳, 伊志宏. 网络舆论关注与企业创新[J]. 经济学(季刊), 2021, 21(1): 113-134.
JIANG Xuanyu, ZHU Lin, YIN Zhihong. Internet public opinion and corporate innovation[J]. China Economic Quarterly, 2021, 21(1):113-134.
[8]
AGGER N J, MATHIASSEN L, HANSEN A M. Exploration and exploitation in organizational learning: Acritical application of the 4I model[J]. British Journal of Management, 2018, 29(4):835-850.
[9]
王磊, 杨晓倩, 张鹏程, 等. 兼听则明:高管社会网络与企业投资决策同伴效应[J]. 管理科学学报, 2022, 25(6):81-99.
WANG Lei, YANG Xiaoqian, ZHANG Pengcheng, et al. Hear all parties: Executive social networks and peer effects in firm's investment decisions[J]. Journal of Management Sciences in China, 2022, 25(6):81-99.
[10]
ZHENG B, LIU H, DAVISON R M. Exploring the relationship between corporate reputation and the public's crisis communication on social media[J]. Public Relations Review, 2018, 44(1):56-64.
[11]
JADE Y L, HAIYANG L. In the eyes of the beholder: The effect of participant diversity on perceived merits of collaborative innovations[J]. Research Policy, 2018, 47(7): 1229-1242.
[12]
彭新敏, 刘电光. 基于技术追赶动态过程的后发企业市场认知演化机制研究[J]. 管理世界, 2021, 37(4):180-198.
PENG Xinmin, LIU Dianguang. Evolutionary mechanism of market cognition of latecomer firms based on the dynamic process of technological catch-up[J]. Journal of Management World, 2021, 37(4):180-198.
[13]
朱孟楠, 梁裕珩, 吴增明. 互联网信息交互网络与股价崩盘风险:舆论监督还是非理性传染[J]. 中国工业经济, 2020(10):81-99.
ZHU Mengnan, LIANG Yuheng, WU Zengming. Information interaction network and price crash risk: Public opinion supervision or irrational contagion[J]. China Industrial Economics, 2020(10):81-99.
[14]
罗琦, 宋梦薇. 市场情绪、公司投资与管理者薪酬:基于股票论坛的经验证据[J]. 经济管理, 2021, 43(9):120-136.
LUO Qi, SONG Mengwei. Market sentiment, corporate investment and executive compensation: Evidence based on stock forum[J]. Business and Management Journal, 2021, 43(9):120-136.
[15]
LI R, PENG C, KOO B, et al. Obtaining sustainable competitive advantage through collaborative dual innovation: Empirical analysis based on mature enterprises in eastern China[J]. Technology Analysis & Strategic Management, 2021, 33(6):685-699.
[16]
刘沐洋, 郁培丽, 杨淼. 颠覆性创新合法性动态演化研究:“滴滴出行”案例[J]. 科研管理, 2022, 43(8):21-31.
LIU Muyang, YU Peili, YANG Miao. Dynamic evolution of the legitimacy of disruptive innovation: A case study of "Didi Chuxing"[J]. Science Research Management, 2022, 43(8):21-31.
[17]
PINTO S, ALBANESE F, DORSO C O, et al. Quantifying time-dependent media agenda and public opinion by topic modeling[J]. Physica A: Statistical Mechanics and its Applications, 2019, 524:614-624.
[18]
李晨辰, 吴冲锋. 证券交易的移动化:眼球效应与乐观偏差[J]. 管理科学学报, 2022, 25(10):1-20.
LI Chenchen, WU Chongfeng. Mobile trading trend in the stock market: Attention-grabbing effect and optimistic bias[J]. Journal of Management Sciences in China, 2022, 25(10): 1-20.
[19]
DEBMALYA M, SOMNATH L, STEVEN R A, et al. Search motives, local embeddedness, and knowledge outcomes in offshoring[J]. Journal of Business Research, 2019, 103:365-375.
In this paper we explicate the role of external knowledge search motives and host country context (local embeddedness) in driving different knowledge outcomes in offshoring. Drawing on the offshoring/offshore outsourcing literature, we develop a classification scheme based on different knowledge search motives (exploitation vs. exploration) and local embeddedness (low vs. deep). Utilizing this classification scheme, we discuss four important knowledge outcomes in offshoring: knowledge replication, refinement, renewal, and recombination. Additionally, we highlight how client-supplier relational governance, and offshoring knowledge, skills and abilities (KSAs) may accentuate the effectiveness of various knowledge outcomes and value creation potential.
[20]
GIUSTIZIERO G, KRETSCHMER T, SOMAYA D, et al. Hyperspecialization and hyperscaling: A resource-based theory of the digital firm[J]. Strategic Management Journal, 2023, 44(6):1391-1424.
[21]
WU X, ZHAO Z, ZHOU B. Legitimacy in adaptive business model innovation: An investigation of academic ebook platforms in China[J]. Emerging Markets Finance and Trade, 2019, 55(4):719-742.
[22]
PUGLIESE A, BEZEMER P J, ZATTONI A, et al. Boards of directors' contribution to strategy: A literature review and research agenda[J]. Corporate Governance: An International Review, 2009, 17(3):292-306.
[23]
MULLER E, PERES R. The effect of social networks structure on innovation performance: A review and directions for research[J]. International Journal of Research in Marketing, 2019, 36(1):3-19.
[24]
XIONG J, SUN D. What role does enterprise social network play? A study on enterprise social network use, knowledge acquisition and innovation performance[J]. Journal of Enterprise Information Management, 2023, 36(1):151-171.
In order to explore the role of enterprise social network (ESN), this study examines how the different dimensions of ESN use – within teams and across teams – facilitate knowledge acquisition in organizations and how knowledge acquisition, in turn, impacts exploitative and exploratory innovation performance.
[25]
张晶, 陈志龙. 城市知识产权治理与企业创新[J]. 统计研究, 2023, 40(8):110-121.
ZHANG Jing, CHEN Zhilong. Urban intellectual property governance and firm innovation[J]. Statistical Research, 2023, 40(8):110-121.
[26]
潘子成, 易志高. 内部薪酬差距、高管团队社会资本与企业双元创新[J]. 管理工程学报, 2023, 37(3):26-41.
PAN Zicheng, YI Zhigao. Internal pay gap, the social capital of TMT and enterprise ambidextrous innovation[J]. Journal of Industrial Engineering / Engineering Management, 2023, 37(3):26-41.
[27]
陈庆江, 王彦萌, 万茂丰. 企业数字化转型的同群效应及其影响因素研究[J]. 管理学报, 2021, 18(5):653-663.
摘要
以2008~2019年中国A股制造业上市公司数据为基础,通过分析师跟踪网络识别同群群体,并利用面板固定效应模型等方法,考察企业数字化转型中的同群效应以及这种企业间行为互动的影响因素。研究发现:企业数字化转型过程中存在显著的同群效应;受模仿学习的主观动机与现实条件两方面因素共同影响,数字化转型的同群效应在资源基础和动态能力处于中间水平的企业中更为显著;网络嵌入、市场竞争以及环境不确定性均会强化企业数字化转型的同群效应;同群效应引发了群体成员数字化转型水平的向上趋同。
CHEN Qingjiang, WANG Yanmeng, WAN Maofeng. Research on peer effect of enterprise digital transformation and influencing factors[J]. Chinese Journal of Management, 2021, 18(5):653-663.
Based on the data of China’s A-share manufacturing listed companies of the year from 2008 to 2019, this paper identifies the peer group through analysts’tracking network, and investigates the peer effect and the influencing factors of this social interact in the digital transformation of enterprises by using panel fixed effect model and other methods. The study shows that: there is a significant peer effect in the enterprise’s digital transformation; influenced by both the subjective motivation of imitation learning and realistic conditions, the peer effect of digital transformation is more significant in the enterprises whose resource base and dynamic capacity are in the middle level; network embedding, market competition, and environmental uncertainty strengthen the peer effect of enterprise digital transformation; the peer group effect leads to the upward convergence of digital transformation level.
[28]
许志勇, 王瑾, 张娜, 等. 资产结构错配、激励机制与企业双元创新[J]. 南开管理评论, 2024, 27(3):106-119.
XU Zhiyong, WANG Jin, ZHANG Na, et al. Mismatch of asset structure, incentive mechanism and dual innovation of enterprises[J]. Nankai Business Review, 2024, 27(3):106-119.
[29]
SARAF N, DASGUPTA S, BLETTNER D P. How do managerial perceptions of performance feedback affect innovation?[J]. Strategic Organization, 2022, 20(3): 451-480.
Although managers’ perceptions are core to the Performance Feedback Theory, few empirical studies measure managerial perceptions of their organization’s performance and theorize on the (in)consistency between perceptual and objective performance feedback. Based on longitudinal survey data of Canadian organizations, we examine how this (in)consistency affects the propensity for innovation in organizations. Our analysis broadly validates that inconsistency between the two types of feedback dampens innovation. Second, positive perceptions strengthen the relationship between positive objective performance feedback and innovation, leading to increased innovation, whereas negative perceptions strengthen the relationship between negative performance feedback and innovation, echoing the problemistic search hypothesis. We also find that perceptions moderate the effect of objective performance feedback differently in the social and historical dimensions as well above and below the aspiration thresholds.
[30]
王垒, 曲晶, 赵忠超, 等. 组织绩效期望差距与异质机构投资者行为选择:双重委托代理视角[J]. 管理世界, 2020, 36(7):132-153.
WANG Lei, QU Jing, ZHAO Zhongchao, et al. Organizational performance aspiration gap and heterogeneous institutional investor behavior choices: Double principal-agent perspective[J]. Journal of Management World, 2020, 36(7):132-153.
[31]
欧阳资生, 陈世丽, 杨希特, 等. 经济政策不确定性、网络舆情与金融机构系统性风险[J]. 管理科学学报, 2023, 26(4):62-86.
OUYANG Zisheng, CHEN Shili, YANG Xite, et al. Economic policy uncertainty, network public opinion and systemic risk of financial institutions[J]. Journal of Management Sciences in China, 2023, 26(4):62-86.
[32]
蒋舒阳, 庄亚明. 企业生命周期与创新平衡适应性成长:CAS视角[J]. 科研管理, 2019, 40(2):164-174.
JIANG Shuyang, ZHUANG Yaming. Enterprise life cycle and adaptive growth of innovation balance from the perspective of Complex Adaptive System (CAS)[J]. Science Research Management, 2019, 40(2):164-174.
[33]
KO W W, LIU G. How information technology assimilation promotes exploratory and exploitative innovation in the small- and medium-sized firm context: The role of contextual ambidexterity and knowledge base[J]. Journal of Product Innovation Management, 2019, 36(4):442-466.

基金

国家自然科学基金面上项目:“情感模型视阈下舆情传播的引导和阻断机制研究”(72271128,2023.01—2025.12)
江苏高校哲社科研究一般项目:“后发企业技术追赶的市场认知偏差与风险应对策略研究”(2023SJYB0119,2024.01—2026.12)

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