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Journal of library and information science in agriculture

   

Factors Influencing Philosophy and Social Science Researchers' Participation in Organized Research Collaborations

TAN Chunhui, HE Mengyu   

  1. School of Information Management, Central China Normal University, Wuhan 430072
  • Received:2025-12-25 Online:2026-03-27

Abstract:

[Purpose/Significance] Amid the national push for the high-quality development of the philosophy and social sciences (PSS), organized scientific research is essential for overcoming disciplinary barriers and solving major practical issues. Existing studies mainly focus on natural sciences, ignoring PSS organized research's uniqueness - its heavy reliance on independent thinking and open academic exchange. This study fills this gap by exploring factors and mechanisms influencing PSS researchers' willingness to participate in organized collaborations, enriching the discipline-specific theoretical system and providing targeted references for optimizing institutional design, boosting participation enthusiasm, and enhancing collaborative innovation efficiency. [Method/Process] Guided by social ecosystem theory, a four-dimensional framework (micro-individual, meso-team, external-organizational, macro-institutional) was constructed. A questionnaire survey was conducted among PSS researchers (university faculty, research institute staff, doctoral students), yielding 371 valid samples after excluding flawed responses. Binary Logistic regression identified key influencing factors, while Interpretive Structural Modeling (ISM) analyzed their hierarchical structure and transmission paths. SPSS 27.0 and Amos 29.0 validated the measurement scales, confirming good internal consistency and structural validity. [Results/Conclusions] Binary Logistic regression shows ten factors significantly predict participation willingness. Microscopically, academic rank (marginally significant), research capability fit, and perceived relative advantage (strongest driver) are core individual motivations. Meso-level factors - team knowledge heterogeneity, mission identification, and knowledge integration system - exert the most prominent promotional effects. Externally, institutional and incentive guarantees form a "dual pillar," with strategic resource support marginally significant. Macroscopically, new nationwide system support and interdisciplinary orientation shape the overall environment. ISM reveals a hierarchical transmission mechanism: root factors (national system, interdisciplinary orientation) stimulate external support, foster meso organizational maturity, and act on micro factors, forming a complete chain. Three key paths are identified: institutional drive, evaluation traction, and resource collaboration. Limitations include cross-sectional data (unable to confirm causality) and insufficient interdisciplinary difference analysis. Future research may adopt longitudinal tracking, supplement qualitative methods (case studies, interviews), and conduct interdisciplinary comparisons to enhance conclusion depth.

Key words: organizational research, philosophy and social sciences, ISM model, influencing factors

CLC Number: 

  • G322.7

Fig.1

Theoretical framework"

Table 1

Influencing factors of philosophy and social science researchers' willingness to participate in organized research collaborations"

变量层级 变量名称 操作化定义 变量赋值
因变量 参与意愿 未来参与有组织科研合作的意愿 0=非积极意愿,1=积极意愿
微观层面 学术能级 职称 0=无,1=初级,2=中级,3=副高级,4=正高级
研究能力匹配度 个人专长与重大合作项目需求的契合程度 1=完全脱节,2=局部覆盖,3=基本匹配,4=高度契合,5=完全契合
感知相对优势 参与有组织科研合作对个人发展的收益预期 李克特五级量表
中观层面 团队知识异质性 团队成员在学科背景、知识结构与方法论上的多元化程度 李克特五级量表(团队知识异质性量表)
团队使命认同度 成员对有组织科研合作项目国家战略价值的认同 1=完全不认同,2=较少认同,3=一般认同,4=较认同,5=高度认同
团队知识整合系统 团队内部知识整合机制成熟度 李克特五级量表(交互记忆系统)
外部层面 战略资源支持力度 机构对有组织科研合作项目的资金、设备、数据等资源保障力度 1=非常不充足,2=较不充足,3=一般充足,4=比较充足,5=非常充足
激励性保障 机构在考核、晋升中对有组织科研合作成果的认可与激励力度 1=完全不支持,2=较不支持,3=一般支持,4=比较支持,5=非常支持
制度性保障 机构在职称晋升、资源分配等方面对有组织科研交叉融合创新的制度支持力度 1=完全不支持,2=较不支持,3=一般支持,4=比较支持,5=非常支持
宏观层面 新型举国体制支撑度 国家层面对有组织科研提供的政策、平台与经费等支持的力度感知 1=非常薄弱,2=较薄弱,3=一般,4=较强,5=非常强
学科交叉研究导向 学科文化对交叉研究的支持程度 1=完全不支持,2=较不支持,3=一般支持,4=比较支持,5=非常支持

Table 2

Basic information of samples"

变量名称 选项 频数 百分比/%
性别 170 45.8
201 54.2
年龄 25岁及以下 22 5.9
26~35岁 168 45.3
36~45岁 90 24.2
46~55岁 73 19.7
56岁及以上 18 4.9
学历 本科及以下 22 5.9
硕士 196 52.8
博士 153 41.3
学科领域 人文科学 176 47.4
社会科学 195 52.6
单位类型 双一流建设高校 225 60.6
双非高校 146 39.4
职称 40 10.8
初级职称 72 19.4
中级职称 105 28.3
副高级职称 100 27.0
高级职称 54 14.6
单位区域 东北地区 28 7.5
华北地区 42 11.3
华东地区 64 17.3
华中地区 90 24.3
华南地区 62 16.7
西南地区 40 10.8
西北地区 45 12.1
团队规模 小型团队(5~10人) 115 31
中小型团队(10~20人) 133 35.8
大型团队(20人以上) 123 33.2
参与意愿 非积极意愿 68 18.3
积极意愿 304 81.7

Table 3

Reliability and validity of test results"

变量 维度 Cronbach's α CFA拟合指标 聚合效度
χ²/df CFI TLI RMSEA AVE CR
感知相对优势 (单维) 0.711 2.96 0.971 0.990 0.073 0.505 0.754
团队知识异质性 显性知识异质性 0.764 - - - - 0.524 0.767
隐性知识异质性 0.763 - - - - 0.524 0.766
(二阶模型整体) 0.848 1.363 0.969 0.996 0.031 - -
团队知识整合系统 专长度 0.818 - - - - 0.529 0.818
协调度 0.843 - - - - 0.523 0.845
可信度 0.85 - - - - 0.533 0.85
(二阶模型整体) 0.887 1.748 0.974 0.968 0.045 - -

Table 4

Estimation results of binary logistic regression model"

变量名称 B 标准误差 瓦尔德 自由度 显著性 Exp(B) EXP(B)的95%置信区间
下限 上限
微观层面 学术能级 .335 .197 2.883 1 .090* 1.398 0.950 2.057
研究能力适配度 .332 .087 14.586 1 .000*** 1.393 1.175 1.651
感知相对优势 .784 .344 5.194 1 .023** 2.191 1.116 4.301
中观层面 团队知识异质性 1.296 .305 18.011 1 .000*** 3.655 2.009 6.650
团队知识整合系统 .759 .355 4.555 1 .033** 2.135 1.064 4.286
团队使命认同度 1.245 .434 8.222 1 .004*** 3.472 1.483 8.129
外部层面 战略资源支持力度 .442 .231 3.677 1 .055* 1.556 0.990 2.446
激励性保障 .387 .182 4.521 1 .033** 1.472 1.031 2.103
制度性保障 .445 .226 3.881 1 .049** 1.561 1.002 2.431
宏观层面 新型举国体制支撑度 1.025 .346 8.754 1 .003*** 2.787 1.413 5.494
学科交叉研究导向 1.074 .474 5.133 1 .023** 2.927 1.156 7.412
常量 -27.342 3.848 50.494 1 .000 .000

Fig.2

Definition of logical relationships among influencing factors"

Fig.3

Adjacency matrix of influencing factors for researchers' participation in organized research collaborations"

Fig.4

Reachability matrix of influencing factors for researchers' participation in organized research collaborations"

Table 5

Reachability set, antecedent set and their intersection set"

变量名称 可达集合R 先行集合Q 交集A=RQ
S0合作意愿 1 1,2,3,4,5,6,7,8,9,10,11,12 1
S1学术能级 1,2 2,9,11,12 2
S2研究能力适配度 1,3 3,12 3
S3感知相对优势 1,4 4,5,6,7,8,10,11,12 4
S4团队知识异质性 1,4,5,7 5,10,11,12 5
S5团队使命认同度 1,4,6,7 6,10,11,12 6
S6团队知识整合系统 1,4,7 5,6,7,8,10,11,12 7
S7战略资源支持力度 1,4,7,8 8,11 8
S8激励性保障 1,2,9 9,11,12 9
S9制度性保障 1,4,5,6,7,10 10,11,12 10
S10新型举国体制支撑度 1,2,4,5,6,7,8,9,10,11 11 11
S11学科交叉研究导向 1,2,3,4,5,6,7,9,10,12 12 12

Table 6

Hierarchical division results"

层级 要素
第1层(顶层) S0参与意愿
第2层 S1学术能级,S2研究能力匹配度,S3感知相对优势
第3层 S6团队知识整合系统,S8激励性保障
第4层 S4团队知识异质性,S5团队使命认同度,S7战略资源支持力度
第5层 S9制度性保障
第6层(最底层)

S10新型举国体制支撑度,S11学科交叉研究导向

基于:结果优先-UP型

Fig.5

Interpretive structural model (ISM) of influencing factors for researchers' participation in organized research"

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