Article(id=1281608117821608217, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.03.0771, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760371200000, receivedDateStr=2025-10-14, revisedDate=1767542400000, revisedDateStr=2026-01-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488786415, onlineDateStr=2026-07-08, pubDate=1774627200000, pubDateStr=2026-03-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488786415, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488786415, creator=13701087609, updateTime=1783488786415, updator=13701087609, issue=Issue{id=1281608117335068953, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='3', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1774627200000', pubDateStr='2026-03-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488786300, creator='13701087609', updateTime=1783588670896, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027063758533259, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027063758533260, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=8, ext={EN=ArticleExt(id=1281608118064877850, articleId=1281608117821608217, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Influence mechanism of career resilience on safety performance of civil aviation pilots, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

To enhance the safety performance of civil aviation pilots, this study constructs a three-dimensional analytical framework for career resilience based on affect, behavior, and cognition(ABC). Integrating machine learning with fsQCA, it empirically analyzes 229 questionnaire responses from Chinese civil aviation pilots. Building upon the measurement of antecedent variable importance weights using the random forest algorithm, the fsQCA method is further applied to decipher the impact mechanisms of different condition configurations on safety performance.The results indicated that no single factor constitutes a necessary condition for either high or non-high safety performance; however, learning willingness and cooperation consciousness play key roles in driving civil aviation pilots to achieve high safety performance. Five configurational paths leading to high safety performance are identified and categorized into three patterns: "emotionally empowered-behaviorally oriented," "resilient collaboration-behaviorally dominant," and "efficiency driven-intrinsically motivated." In contrast, two configurational paths leading to non-high safety performance are classified as "behavior-atrophy" and "affection-deficiency" types. Furthermore, substitution relationships exist among conditional variables in the five configurations for high safety performance.

, authors=Fan WU¹, Mimi LAI¹, Mingyang LI², authorsList=Fan WU, Mimi LAI, Mingyang LI, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281608118618525981, articleId=1281608117821608217, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=职业韧性对民航飞行员安全绩效的影响机制, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为提升民航飞行员的安全绩效，基于情感、行为、认知（ABC）理论构建职业韧性三维分析框架，结合机器学习与模糊集定性比较分析（fsQCA）方法，实证分析229份中国民航飞行员问卷数据，在利用随机森林算法测度前因变量重要性权重的基础上，进一步运用fsQCA方法解析不同条件配置对安全绩效的影响机制。结果表明：单一因素并不构成民航飞行员实现高或非高安全绩效的必要条件，学习意愿和合作意识在驱动民航飞行员实现高安全绩效过程中发挥着关键作用。民航飞行员实现高安全绩效的5条组态路径，可分为情感赋能-行为导向型、弹性协同-行为主导型、效能激发-内在驱动型3种类别。民航飞行员实现非高安全绩效的2条组态路径，可分为“行为萎缩型”和“情感缺失型”2种类别。民航飞行员高安全绩效的5条组态中，条件变量间存在替代关系。

, authors=吴凡教授¹, 赖密密¹, 李明阳², authorsList=吴凡教授, 赖密密, 李明阳, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=gVSrvEDITY5U0PZDfNpbiw==, magXml=XYrx2y+dFQxh9a1jiirXNg==, pdfUrl=null, pdf=J0wwOCBDa7rgU09p700kSg==, pdfFileSize=4110206, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=tqZKJIcKPskeH/I7WXRKOA==, mapNumber=null, fund=null)}, authors=[Author(id=1281608119029567781, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608117821608217, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=gxwufan@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281608119109259559, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608117821608217, authorId=1281608119029567781, language=EN, stringName=Fan WU, firstName=Fan, middleName=null, lastName=WU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Public Policy and Management, Guangxi University, Nanning Guangxi 530004, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281608119176368424, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608117821608217, authorId=1281608119029567781, language=CN, stringName=吴凡教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹广西大学 公共管理学院，广西 南宁 530004, bio={"content":"

吴凡（1977—），女，广西贵港人，博士，教授，主要从事区域人才治理等方面的研究。E-mail:gxwufan@163.com。

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吴凡（1977—），女，广西贵港人，博士，教授，主要从事区域人才治理等方面的研究。E-mail:gxwufan@163.com。

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