Article(id=1318316541100282582, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1318316496934261092, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1742140800000, receivedDateStr=2025-03-17, revisedDate=1745942400000, revisedDateStr=2025-04-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1792240756534, onlineDateStr=2026-10-17, pubDate=1784044800000, pubDateStr=2026-07-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792240756534, onlineIssueDateStr=2026-10-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792240756534, creator=13701087609, updateTime=1792240756534, updator=13701087609, issue=Issue{id=1318316496934261092, tenantId=1146029695717560320, journalId=1308397381743640680, year='2026', volume='44', issue='7', pageStart='1345', pageEnd='1568', issueExtLink='null', onlineDate='null', pubDate='1784044800000', pubDateStr='2026-07-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792240746004, creator='13701087609', updateTime=1792240746004, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=1455, endPage=1465, ext={EN=ArticleExt(id=1318316541289026263, articleId=1318316541100282582, tenantId=1146029695717560320, journalId=1308397381743640680, language=EN, title=The impact of digital technology on the breakthroughs of key core technologies of SMEs: Evidence from first-of-a-kind and first-batch innovations, columnId=1309226334803550422, journalTitle=Studies in Science of Science, columnName=Innovation Explorations, runingTitle=null, highlight=null, articleAbstract=
In recent years, China has intensified its focus on achieving breakthroughs in key core technologies across strategic domains. However, there are still gaps in existing research. First, prior studies predominantly concentrate on large enterprises, overlooking the specialized expertise, operational flexibility, and efficiency advantages inherent to small and medium-sized enterprises (SMEs). This oversight obscures the unique role of SMEs in accomplishing significant technological advancements despite their smaller scale. In practice, many SMEs specialize in niche segments of industrial chains, accumulating technical expertise and innovative capabilities over time. Their focused positioning often enables them to outperform larger firms in breakthroughs related to critical materials, components, and manufacturing processes within specific supply chain nodes. Moreover, large enterprises’ efforts to overcome key technological bottlenecks frequently depend on collaborative support from specialized SMEs. Second, while SMEs universally face innovation constraints—including limited R&D resources, insufficient technological collaboration, and narrow innovation search scopes—digital technologies, as a novel factor of production, hold potential to mitigate these barriers and propel critical technological breakthroughs. Existing scholarship has explored pathways, outcomes, and influencing factors of SMEs’ technological advancements but pays inadequate attention to the role of digital technologies. Third, the development of “first-of-a-kind” and “first of batch”, a distinctive policy-driven innovation practice in China, represents a critical yet unexplored frontier for core technology breakthroughs, warranting deeper scholarly investigation.
To address these gaps, this study examines how digital technologies influence SMEs’ breakthroughs in key core technologies and identifies boundary conditions shaping this relationship. Utilizing a sample of SMEs in Hangzhou, Zhejiang Province, and situating the analysis within their engagement in “first-of-a-kind” and w“first of batch” innovation initiatives—a national policy context aimed at accelerating the commercialization of pioneering technologies, we investigate the mechanisms through which digital technologies facilitate of breakthroughs of key core technologies of SMEs. We further analyze the moderating roles of absorptive capacity, organizational scale, and market power.
Our empirical findings demonstrate that digital technologies significantly enhance SMEs’ capacity to achieve breakthroughs of key core technologies, but these effects are contingent on firm-specific characteristics: absorptive capacity and market power amplify the benefits of digital adoption, whereas larger organizational scale paradoxically diminishes its efficacy. This moderating effect of scale suggests that while digital tools democratize access to innovation resources, organizational growth may introduce bureaucratic rigidity that erodes the agility central to SMEs’ competitive advantage.
Our findings enrich theoretical understanding of antecedents and contextual factors in SMEs’ pursuit of key core technology breakthroughs. By challenging conventional scale-centric innovation paradigms, the study reveals how digital technologies can accelerate innovation dynamics to favor specialized, agile firms. Practically, it provides policymakers with evidence-based insights to design targeted intervention, such as enhancing digital infrastructure accessibility, fostering SME-centric innovation ecosystems, and optimizing fiscal incentives for collaborative R&D—that leverage digitalization to amplify SMEs’ disruptive potential. For SMEs, the findings emphasize strategic imperatives: cultivating dynamic capabilities to harness digital resources while maintaining organizational flexibility to avoid scale-induced inefficiencies. By bridging the digital divide and rebalancing innovation ecosystems, this research contributes to strategies that harness SMEs’s technological vitality to drive high-quality industrial development, ultimately advancing strategic goals of technological self-reliance of China.
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中小企业通常聚焦产业链细分领域发展,具有突破特定领域关键核心技术的专业化基础和潜能,但普遍面临创新资源约束。数字技术作为新型要素资源,有助于中小企业破解研发资源有限、技术协同不足、创新搜寻受限等挑战,促进其关键核心技术突破。因此,本文探究数字技术对中小企业关键核心技术突破的影响以及相关边界条件。研究发现:数字技术对中小企业突破关键核心技术具有促进作用,但该促进作用要受到企业特征的调节影响,即企业的吸收能力和市场势能增强数字技术的促进作用,而企业规模实力则削弱该促进效果。本文结论丰富了中小企业关键核心技术突破的前因和情境因素研究,为中小企业借助数字技术加速关键核心技术创新、继而带动产业高质量发展提供实践启示。
, authors=邬爱其, 朱国浩, authorsList=邬爱其, 朱国浩, authorCompany=null, correspAuthors=朱国浩, authorNote=
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邬爱其(1975-),男,教授,博士。
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44(1): 26-36., articleTitle=Can digital technology improve corporate performance? Micro-evidence from Zhongguancun Haidian Science Park, refAbstract=null), Reference(id=1318316551640568639, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, doi=null, pmid=null, pmcid=null, year=2022, volume=25, issue=8, pageStart=22, pageEnd=44, url=null, language=null, rfNumber=[39], rfOrder=70, authorNames=焦豪, 杨季枫, 金宇珂, journalName=管理科学学报, refType=null, unstructuredReference=焦豪, 杨季枫, 金宇珂. 企业消极反馈对战略变革的影响机制研究——基于动态能力和冗余资源的调节效应[J].
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Jiao H,
Yang J F,
Jin Y K. The influence mechanism of negative feedback on strategic change: Moderating effects of dynamic capabilities and slack resources[J].
Journal of Management Science in China,
2022,
25(8): 22-44., articleTitle=The influence mechanism of negative feedback on strategic change: Moderating effects of dynamic capabilities and slack resources, refAbstract=null)], funds=[Fund(id=1318316544216650486, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, awardId=72332005, language=CN, fundingSource=国家自然科学基金重点项目(72332005), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1318316542308242139, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, xref=null, ext=[AuthorCompanyExt(id=1318316542316630748, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, companyId=1318316542308242139, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Management, Zhejiang University, Hangzhou 310058, China), AuthorCompanyExt(id=1318316542325019357, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, companyId=1318316542308242139, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=浙江大学管理学院, 浙江杭州 310058)])], figs=[ArticleFig(id=1318316543688168176, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, language=EN, label=Table 1, caption=
Descriptive statistics and correlation coefficient of variables
, figureFileSmall=null, figureFileBig=null, tableContent=
| 1 | 2 | 3 | 4 | 5 | 6 |
| 1.技术突破 | 1 | | | | | |
| 2.数字技术 | 0.116*** | 1 | | | | |
| 3.规模实力 | -0.003 | 0.232*** | 1 | | | |
| 4.吸收能力 | 0.030 | 0.001 | -0.304*** | 1 | | |
| 5.市场势能 | 0.011 | 0.068** | -0.039 | -0.074*** | 1 | |
| 6.企业年龄 | -0.021 | 0.034 | 0.267*** | -0.175*** | -0.034 | 1 |
| 7.员工人数 | -0.004 | 0.242*** | 0.713*** | -0.041 | -0.031 | 0.248*** |
| 8.创新能力 | 0.091*** | 0.248*** | 0.231*** | 0.149*** | -0.041 | -0.032 |
| 9.标准制订 | 0.010 | 0.157*** | 0.171*** | -0.034 | -0.004 | 0.147*** |
| 10.产学合作 | 0.126*** | 0.414*** | 0.173*** | 0.049* | 0.049* | 0.079*** |
| 11.上市公司 | 0.056** | 0.070*** | 0.181*** | -0.012 | -0.010 | 0.120*** |
| 12.制造业 | -0.001 | 0.080*** | 0.206*** | -0.088*** | -0.010 | 0.241*** |
| 均值 | 0.050 | 1.512 | 3.917 | 0.220 | 0.075 | 1.111 |
| 标准差 | 0.222 | 1.803 | 0.506 | 0.795 | 2.912 | 0.240 |
| 7 | 8 | 9 | 10 | 11 | 12 |
| 7.员工人数 | 1 | | | | | |
| 8.创新能力 | 0.289*** | 1 | | | | |
| 9.标准制订 | 0.162*** | 0.184*** | 1 | | | |
| 10.产学合作 | 0.171*** | 0.209*** | 0.107*** | 1 | | |
| 11.上市公司 | 0.164*** | 0.206*** | 0.158*** | 0.050** | 1 | |
| 12.制造业 | 0.146*** | 0.005 | 0.084*** | 0.028 | 0.010 | 1 |
| 均值 | 1.993 | 0.718 | 0.620 | 0.590 | 0.040 | 0.718 |
| 标准差 | 0.396 | 0.472 | 2.085 | 0.493 | 0.200 | 0.450 |
), ArticleFig(id=1318316543780442865, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, language=CN, label=表1, caption=
描述性统计和相关性分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 1 | 2 | 3 | 4 | 5 | 6 |
| 1.技术突破 | 1 | | | | | |
| 2.数字技术 | 0.116*** | 1 | | | | |
| 3.规模实力 | -0.003 | 0.232*** | 1 | | | |
| 4.吸收能力 | 0.030 | 0.001 | -0.304*** | 1 | | |
| 5.市场势能 | 0.011 | 0.068** | -0.039 | -0.074*** | 1 | |
| 6.企业年龄 | -0.021 | 0.034 | 0.267*** | -0.175*** | -0.034 | 1 |
| 7.员工人数 | -0.004 | 0.242*** | 0.713*** | -0.041 | -0.031 | 0.248*** |
| 8.创新能力 | 0.091*** | 0.248*** | 0.231*** | 0.149*** | -0.041 | -0.032 |
| 9.标准制订 | 0.010 | 0.157*** | 0.171*** | -0.034 | -0.004 | 0.147*** |
| 10.产学合作 | 0.126*** | 0.414*** | 0.173*** | 0.049* | 0.049* | 0.079*** |
| 11.上市公司 | 0.056** | 0.070*** | 0.181*** | -0.012 | -0.010 | 0.120*** |
| 12.制造业 | -0.001 | 0.080*** | 0.206*** | -0.088*** | -0.010 | 0.241*** |
| 均值 | 0.050 | 1.512 | 3.917 | 0.220 | 0.075 | 1.111 |
| 标准差 | 0.222 | 1.803 | 0.506 | 0.795 | 2.912 | 0.240 |
| 7 | 8 | 9 | 10 | 11 | 12 |
| 7.员工人数 | 1 | | | | | |
| 8.创新能力 | 0.289*** | 1 | | | | |
| 9.标准制订 | 0.162*** | 0.184*** | 1 | | | |
| 10.产学合作 | 0.171*** | 0.209*** | 0.107*** | 1 | | |
| 11.上市公司 | 0.164*** | 0.206*** | 0.158*** | 0.050** | 1 | |
| 12.制造业 | 0.146*** | 0.005 | 0.084*** | 0.028 | 0.010 | 1 |
| 均值 | 1.993 | 0.718 | 0.620 | 0.590 | 0.040 | 0.718 |
| 标准差 | 0.396 | 0.472 | 2.085 | 0.493 | 0.200 | 0.450 |
), ArticleFig(id=1318316543860134642, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, language=EN, label=Table 2, caption=
Logistic regression results
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| 模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | 模型7 | 模型8 | 模型9 |
| 数字技术 | | 0.172**
(0.073) | | 0.195**
(0.076) | | 0.202***
(0.072) | | 0.158**
(0.074) | 0.194**
(0.076) |
| 吸收能力 | | | 0.020
(0.108) | -0.912*
(0.521) | | | | | -0.662
(0.500) |
| 数字技术Χ吸收能力 | | | | 0.710**
(0.297) | | | | | 0.463
(0.288) |
| 规模实力 | | | | | -0.182
(0.344) | 0.087
(0.373) | | | -0.006
(0.437) |
| 数字技术Χ规模实力 | | | | | | -0.472***
(0.137) | | | -0.332**
(0.149) |
| 市场势能 | | | | | | | 0.009
(0.052) | 0.003
(0.030) | -0.006
(0.035) |
| 数字技术Χ市场势能 | | | | | | | | 0.037**
(0.016) | 0.042**
(0.019) |
| 企业年龄 | -0.372
(0.561) | -0.284
(0.565) | -0.359
(0.566) | -0.153
(0.578) | -0.350
(0.564) | -0.297
(0.574) | -0.371
(0.561) | -0.282
(0.568) | -0.250
(0.590) |
| 员工人数 | -0.542
(0.356) | -0.711*
(0.369) | -0.540
(0.356) | -0.697*
(0.370) | -0.391
(0.459) | -0.557
(0.470) | -0.539
(0.355) | -0.733**
(0.369) | -0.592
(0.503) |
| 创新能力 | 0.626**
(0.298) | 0.563*
(0.304) | 0.618**
(0.301) | 0.584
(0.312) | 0.628**
(0.297) | 0.558*
(0.308) | 0.624**
(0.298) | 0.594*
(0.306) | 0.655**
(0.320) |
| 产学合作 | 1.360***
(0.357) | 1.136***
(0.372) | 1.358***
(0.357) | 1.137***
(0.375) | 1.372***
(0.358) | 1.133***
(0.370) | 1.357***
(0.358) | 1.157***
(0.377) | 1.131***
(0.376) |
| 上市公司 | 0.799*
(0.485) | 0.807*
(0.491) | 0.800*
(0.485) | 0.794
(0.494) | 0.829*
(0.488) | 0.950*
(0.492) | 0.796
(0.485) | 0.823*
(0.492) | 0.920*
(0.495) |
| 标准制定 | -0.020
(0.061) | -0.037
(0.062) | -0.019
(0.061) | -0.029
(0.063) | -0.018
(0.061) | -0.006
(0.067) | -0.020
(0.061) | -0.032
(0.061) | -0.002
(0.065) |
| 制造业 | 0.060
(0.292) | -0.003
(0.295) | 0.061
(0.292) | 0.007
(0.305) | 0.077
(0.294) | 0.076
(0.301) | 0.061
(0.292) | -0.043
(0.297) | 0.010
(0.308) |
| 常数项 | -2.986***
(0.817) | -2.813***
(0.821) | -3.006***
(0.824) | -2.839***
(0.868) | -2.629**
(1.056) | -2.902***
(1.096) | -2.993***
(0.817) | -2.562***
(0.839) | -2.995***
(1.143) |
| Hosmer和Lemeshow检验 | 5.866 | 4.422 | 5.852 | 8.554 | 9.068 | 6.381 | 5.882 | 6.031 | 5.454 |
| 对数似然值 | 494.197 | 488.673 | 494.165 | 478.491 | 493.920 | 475.605 | 494.071 | 484.252 | 467.688 |
| 模型系数综合检验卡方 | 32.487*** | 38.011*** | 32.519*** | 48.193*** | 32.764*** | 51.079*** | 32.506*** | 42.326*** | 58.889*** |
), ArticleFig(id=1318316543939826419, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, language=CN, label=表2, caption=
logistic回归结果
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| 模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | 模型7 | 模型8 | 模型9 |
| 数字技术 | | 0.172**
(0.073) | | 0.195**
(0.076) | | 0.202***
(0.072) | | 0.158**
(0.074) | 0.194**
(0.076) |
| 吸收能力 | | | 0.020
(0.108) | -0.912*
(0.521) | | | | | -0.662
(0.500) |
| 数字技术Χ吸收能力 | | | | 0.710**
(0.297) | | | | | 0.463
(0.288) |
| 规模实力 | | | | | -0.182
(0.344) | 0.087
(0.373) | | | -0.006
(0.437) |
| 数字技术Χ规模实力 | | | | | | -0.472***
(0.137) | | | -0.332**
(0.149) |
| 市场势能 | | | | | | | 0.009
(0.052) | 0.003
(0.030) | -0.006
(0.035) |
| 数字技术Χ市场势能 | | | | | | | | 0.037**
(0.016) | 0.042**
(0.019) |
| 企业年龄 | -0.372
(0.561) | -0.284
(0.565) | -0.359
(0.566) | -0.153
(0.578) | -0.350
(0.564) | -0.297
(0.574) | -0.371
(0.561) | -0.282
(0.568) | -0.250
(0.590) |
| 员工人数 | -0.542
(0.356) | -0.711*
(0.369) | -0.540
(0.356) | -0.697*
(0.370) | -0.391
(0.459) | -0.557
(0.470) | -0.539
(0.355) | -0.733**
(0.369) | -0.592
(0.503) |
| 创新能力 | 0.626**
(0.298) | 0.563*
(0.304) | 0.618**
(0.301) | 0.584
(0.312) | 0.628**
(0.297) | 0.558*
(0.308) | 0.624**
(0.298) | 0.594*
(0.306) | 0.655**
(0.320) |
| 产学合作 | 1.360***
(0.357) | 1.136***
(0.372) | 1.358***
(0.357) | 1.137***
(0.375) | 1.372***
(0.358) | 1.133***
(0.370) | 1.357***
(0.358) | 1.157***
(0.377) | 1.131***
(0.376) |
| 上市公司 | 0.799*
(0.485) | 0.807*
(0.491) | 0.800*
(0.485) | 0.794
(0.494) | 0.829*
(0.488) | 0.950*
(0.492) | 0.796
(0.485) | 0.823*
(0.492) | 0.920*
(0.495) |
| 标准制定 | -0.020
(0.061) | -0.037
(0.062) | -0.019
(0.061) | -0.029
(0.063) | -0.018
(0.061) | -0.006
(0.067) | -0.020
(0.061) | -0.032
(0.061) | -0.002
(0.065) |
| 制造业 | 0.060
(0.292) | -0.003
(0.295) | 0.061
(0.292) | 0.007
(0.305) | 0.077
(0.294) | 0.076
(0.301) | 0.061
(0.292) | -0.043
(0.297) | 0.010
(0.308) |
| 常数项 | -2.986***
(0.817) | -2.813***
(0.821) | -3.006***
(0.824) | -2.839***
(0.868) | -2.629**
(1.056) | -2.902***
(1.096) | -2.993***
(0.817) | -2.562***
(0.839) | -2.995***
(1.143) |
| Hosmer和Lemeshow检验 | 5.866 | 4.422 | 5.852 | 8.554 | 9.068 | 6.381 | 5.882 | 6.031 | 5.454 |
| 对数似然值 | 494.197 | 488.673 | 494.165 | 478.491 | 493.920 | 475.605 | 494.071 | 484.252 | 467.688 |
| 模型系数综合检验卡方 | 32.487*** | 38.011*** | 32.519*** | 48.193*** | 32.764*** | 51.079*** | 32.506*** | 42.326*** | 58.889*** |
), ArticleFig(id=1318316544023712500, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1318316541100282582, language=EN, label=Table 3, caption=
Robustness test results
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稳健性检验结果
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