Influence of knowledge management practices on librarians' competency in artificial intelligence in tertiary institutions of Lokoja, Kogi State, Nigeria.

IF 1.6
Frontiers in research metrics and analytics Pub Date : 2025-08-11 eCollection Date: 2025-01-01 DOI:10.3389/frma.2025.1623278
Sherif Kunle Yusuf, Abdullateef B Oshinaike, Ismail O Suleiman, Yinka Martins Omoniyi
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Abstract

Introduction: The integration of Artificial Intelligence (AI) in library services has highlighted the need for librarians to acquire relevant competencies. Knowledge Management Practices (KMP) including knowledge acquisition, organization, sharing, and application play a pivotal role in enhancing librarians' AI capabilities. However, in Lokoja, Kogi State, Nigeria, librarians face challenges in adopting these practices effectively, resulting in skill gaps that affect academic service delivery.

Methods: This study employed a quantitative survey design and utilized census sampling to include all 28 professional librarians from three tertiary institutions in Lokoja. Data were collected through a structured questionnaire focusing on current KM practices, AI competencies, and associated challenges. Descriptive statistics and multiple regression analyses were performed using SPSS version 25, with a significance threshold set at 0.05.

Results: The findings revealed that knowledge sharing (100%), digital repositories (92%), and taxonomy development (82%) were the most commonly adopted KM practices. Regression analysis demonstrated a significant positive relationship (R = 0.78; R2 = 0.61) between KM practices and librarians' AI competencies. Among the predictors, knowledge sharing had the strongest influence (β = 0.41). Key challenges identified include technical issues (mean = 3.00), lack of training (2.89), and insufficient managerial support (2.89).

Discussion: The results confirm that KMP significantly enhance librarians' competency in managing AI-generated information and supporting users. However, limited proficiency in technical AI domains such as machine learning and natural language processing indicates a need for specialized training. The study underscores the necessity of investing in infrastructure, continuous professional development, and strategic leadership support to maximize the benefits of KMP in AI integration.

Abstract Image

Abstract Image

知识管理实践对尼日利亚科吉州洛科贾高等院校图书馆员人工智能能力的影响
导读:人工智能(AI)在图书馆服务中的整合凸显了图书馆员获得相关能力的必要性。知识管理实践(KMP)包括知识获取、组织、共享和应用,在提高图书馆员的人工智能能力方面发挥着关键作用。然而,在尼日利亚科吉州Lokoja,图书馆员在有效采用这些做法方面面临挑战,从而导致影响学术服务提供的技能差距。方法:本研究采用定量调查设计和人口普查抽样的方法,对洛科哈市三所大专院校的28名专业图书馆员进行调查。通过结构化问卷收集数据,重点关注当前的知识管理实践、人工智能能力和相关挑战。采用SPSS version 25进行描述性统计和多元回归分析,显著性阈值为0.05。结果:研究结果显示,知识共享(100%)、数字存储库(92%)和分类法开发(82%)是最常采用的知识管理实践。回归分析表明,知识管理实践与图书馆员人工智能能力之间存在显著的正相关关系(R = 0.78; R2 = 0.61)。在预测因子中,知识共享的影响最大(β = 0.41)。确定的主要挑战包括技术问题(平均值= 3.00)、缺乏培训(2.89)和管理支持不足(2.89)。讨论:结果证实,KMP显著提高了图书馆员管理人工智能生成的信息和支持用户的能力。然而,在机器学习和自然语言处理等技术人工智能领域的熟练程度有限,这表明需要进行专门培训。该研究强调了投资基础设施、持续专业发展和战略领导支持的必要性,以最大限度地发挥KMP在人工智能集成中的效益。
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