中文    English

Journal of library and information science in agriculture ›› 2022, Vol. 34 ›› Issue (4): 94-103.doi: 10.13998/j.cnki.issn1002-1248.21-0542

Previous Articles    

Model Construction and Empirical Research on Information Searching Behavior of Researchers from the Perspective of Situational Cognition

GUAN Fang, ZHAO Ketong, REN Wei, LIN Qiang   

  1. Xidian University Library, Xi'an 710071
  • Received:2021-07-13 Online:2022-04-05 Published:2022-05-24

Abstract: [Purpose/Significance] With the changes in the information environment, online academic information resources are playing an increasingly important role in the scientific research process. [Method/Process] Through the research on the behavior process, psychological characteristics and influence mechanism of information searchers from the perspective of context and cognition, we hope to enrich and expand the research ideas on the researchers' behavior as social media users , and provide theoretical support for the construction of service strategies suitable for their needs.. From the dual perspectives of behavioral science and cognitive psychology, and from the perspective of academic self-efficacy and behavioral intentions, a model of influencing factors of researchers' information search behavior is constructed. [Results/Conclusions] The two factors, scientific research situation and environment, cognitive psychology and attitude have the greatest influence on self-efficacy. Self-efficacy has the most direct influence on behavioral intention, followed by cognitive psychology and attitude. The types of independent variables need to be enriched, and the interaction between some predictor variables has not been fully analyzed.

Key words: situational cognition, researchers, information search behavior, model, empirical research

CLC Number: 

  • G203
[1] 刘冰, 庞琳. 基于用户评论分析的网络学术信息资源评价体系模型研究[J]. 情报理论与实践, 2021, 44(3): 172-177, 163.
LIU B, PANG L.Research on the evaluation system model of network academic information resources based on user comment analysis[J]. Information theory and practice, 2021, 44(3): 172-177, 163.
[2] DERVIN B.Sense-making theory and practice: An overview of user interests in knowledge seeking and use[J]. Journal of knowledge management, 1998, 2(12): 625-632.
[3] CACIOPPO J T, PETTY R E, KAO C F.The efficient assessment of need for cognition[J]. Journal of personality assessment, 1984, 48(3): 306.
[4] 丁韧. 网络信息搜索行为研究: 以我国高校学生为例[M]. 武汉: 武汉大学出版社, 2013: 23.
DING R.Research on internet information searching behavior: Tak-ing Chinese university students as an example[M]. Wuhan: Wuhan university press, 2013: 23.
[5] 胡磊. 互联网学术信息可信性评价判据研究[J]. 北京大学学报(自然科学版), 2012, 48(5): 712-718.
HU L.Research on the criteria for the credibility evaluation of internet academic information[J]. Journal of Peking university (natural science edition), 2012, 48(5): 712-718.
[6] 许艳闰, 王妍, 姜婷婷. 文字刺激触发的信息偶遇——基于社交问答平台的日记研究[J/OL]. 农业图书情报学报.https://doi.org/10.13998/j.cnki.issn1002-1248.21-0838.
XU Y R, WANG Y, JIANG T T.Information encountering triggered by textual stimuli: A diary study based on social Q&A platform[J/OL]. Journal of library and information science in agriculture.https://doi.org/10.13998/j.cnki.issn1002-1248.21-0838.
[7] 迪莉娅. 西方信息行为认知方法研究[J]. 中国图书馆学报, 2011(3): 97-104.
DI L Y.Research on cognitive methods of western information behavior[J]. Journal of library science in China, 2011(3): 97-104.
[8] MARCHIONINI G. Information seeking in electronic environments[M]. Cambridge: Cambridge university press, 1997(9).
[9] SONNENWALD D H.Evolving perspectives of human information behavior: Contexts, situations, social networks and information horizons[M]. Wilson, T D, London: Taylor graham, 1999: 176-190.
[10] TAYLOR R S, VOIGT M J.Value added processes in information systems[M]. Westport: Greenwood publishing group inc, 1986.
[11] HARRIS, ROMA M, PATRICIA D.Barriers to information: How formal help systems fail battered women[M]. Westport: Greenwood
press, 1994.
[12] COURTRIGHT C.Context in information behavior research[C]. Annual review of information science and technology, 2007(41): 273-306.
[13] KARI J, SAVOLAINEN R.Relationships between information seeking and context: Aqualitative study of internet searching and the goals of personal development[J]. Library & information science research, 2007(29): 47-69.
[14] HARGITTAI E, HINNANT A.Toward asocial framework for informa-tion seeking[C]. New directions in human information behavior, Dor-drecht, the Netherlands: Springer, 2006: 55-70.
[15] SAVOLAINEN R.Time as a context of information seeking[J]. Li-brary & information science research, 2006(28): 110-127.
[16] SLONE D.The impact of time constraints on internet and web use[J]. Journal of the American society for information science and technology, 2007, 58(4): 508-517.
[17] CHELTON M K, COOL C.Youth information seeking behaviors: Context, theories, models and issuses[C]. Lanham, MD: Scarecriw press, 2007.
[18] INGWERSEN P, JARVELIN K.The turn: Integration information seeking and retrieval in context[M]. Dordrecht: Springer, 2005.
[1] GUO Yanli, GAO Rui, ZOU Meifeng, LIU Zidan. Identification of Product Innovation Opportunity Based on Problem and Suggestions Using Dual-Source Data [J]. Journal of library and information science in agriculture, 2026, 38(4): 47-60.
[2] SONG Lingling, ZHANG Xinghui. Efficacy of Intelligent Consulting Services in Libraries at Home and Abroad under the Background of AI Large Model Driving [J]. Journal of library and information science in agriculture, 2026, 38(4): 99-111.
[3] LYU Lucheng, ZHOU Jian, SUN Wenjun, ZHAO Yajuan, HAN Tao. Performance of Fine-Tuned Large Language Models in Patent Text Mining [J]. Journal of library and information science in agriculture, 2026, 38(4): 36-46.
[4] LIU Wei, JIN Jiaqin. Library Transformation in the Age of AI Agents: Service Reconfiguration and Governance Framework Based on the OpenClaw Architecture [J]. Journal of library and information science in agriculture, 2026, 38(4): 13-22.
[5] QIAN Li, YANG Yanxi, ZHANG Yuanzhe, HU Maodi, CHANG Zhijun. The Impacts and Implications of OpenClaw for Scientific and Technical Literature Intelligence Work [J]. Journal of library and information science in agriculture, 2026, 38(4): 4-12.
[6] DENG Qiping, KE Jiaxiu, GAN Peng, ZHOU Song. Construction of an Intelligent Agent for Academic Output Data Analysis Oriented to Academic Evaluation [J]. Journal of library and information science in agriculture, 2026, 38(3): 76-87.
[7] WU Yuhao, LIU Yihao, LI Qingjun, HU Xu. Open Sharing of Library Data Based on Large Language Models: Logic, Path and Strategy [J]. Journal of library and information science in agriculture, 2026, 38(1): 28-43.
[8] JIANG Jingze, ZHOU Tianmin, LI Mei, CHENG Cheng, CHEN Haiyan. A study of the Core Competence Model of Compound AI Librarians in the Intelligent Transformation of University Libraries [J]. Journal of library and information science in agriculture, 2025, 37(9): 97-109.
[9] CHI Yuzhuo, ZHANG Bing. Determinants and Configurations of Open Scientific Data Policy Diffusion in China [J]. Journal of library and information science in agriculture, 2025, 37(9): 49-62.
[10] WANG Xiaoyu, HU Jingyuan, WU Ruoyu, WANG Shu, ZHAI Yujia. An LLM-based Data Augmentation Method for Constructing Science & Technology Topic Linkages: Taking the Energy Conservation Field as an Example [J]. Journal of library and information science in agriculture, 2025, 37(9): 63-81.
[11] LIU Wei, ZHANG Lei, JI Ting, CHEN Xiaoyang. Shaping the Smart Libraries with AI: An Agent-based, Next-Generation Library Service Platform [J]. Journal of library and information science in agriculture, 2025, 37(5): 15-26.
[12] ZHANG Weichong, XU Chen, ZHU Yiran. Cultivation Path of AI Literacy for Grassroots Civil Servants Based on the Integrated TAM-IDT Model [J]. Journal of library and information science in agriculture, 2025, 37(5): 72-85.
[13] QIAN Li, WANG Qianying, LIU Yi, ZHANG Yuanzhe, CHANG Zhijun. Agent Technology and Its Applications in Scientific Research [J]. Journal of library and information science in agriculture, 2025, 37(5): 5-14.
[14] ZHANG Li, WANG Bo, JING Shui. Generative AI-Driven Resource Discovery in Public Libraries: Service Optimization Based on a Dynamic Evaluation Model [J]. Journal of library and information science in agriculture, 2025, 37(5): 58-71.
[15] SANG Yuanyuan. Multimodal Learning Technology Aimed at Exploring the Innovative Path of Library Intelligence Service [J]. Journal of library and information science in agriculture, 2025, 37(3): 42-52.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!