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作 者:王德庄 林萌萌 Wang Dezhuang;Lin Mengmeng(College of Information Management,Heilongjiang University,Harbin Heilongjiang 150080)
机构地区:[1]黑龙江大学信息管理学院,黑龙江哈尔滨150080
出 处:《情报探索》2024年第6期1-9,共9页Information Research
基 金:黑龙江省教育科学规划重点课题“数智时代高校学生数据素养评价体系构建研究”(项目编号:GJB1423263)成果之一。
摘 要:[目的/意义]调研分析企业数据类岗位招聘信息,构建企业数据类岗位胜任力模型,为高校及时了解社会对于人才需求的变化,并设置相应的人才培养方案和课程体系提供参考。[方法/过程]以扎根理论和胜任力模型为基础,利用文本分析法选取数据类岗位能力特质、数据特质、业务特质以及素质特质4个一级指标、34个二级指标和83个三级指标,并采用层次分析法邀请专家根据各项指标重要程度赋予其相应的权重,构建企业数据类岗位胜任力模型。[结果/结论]参考本研究构建的企业数据类岗位胜任力模型,针对图书情报专业硕士的教育现状提出相应的建议:高校要结合企业招聘要求和现实情况,不断反思其人才培养模式,增加数据方面理论选修课程,同时引导学生积极参与实践,帮助学生提升自身数据素养和各方面的特质。[Purpose/significance]This paper investigates and analyses the recruitment information of data-related positions in enterprises,and constructs a competency model of data-related positions in enterprises,to provide references for colleges and universities to timely understand the changes in social demand for talents and to set up corresponding talent training programs and curriculum systems.[Method/process]Based on the grounded theory and competency model,this paper uses text analysis method to select 4 first-level indicators,34 second-level indicators and 83 third-level indicators,including ability trait,data trait,business trait and quality trait,and adopts the analytic hierarchy process with inviting experts to assign corresponding weights to each indicator according to its importance,to construct a competency model of data-related positions in enterprises.[Result/conclusion]With reference to the competency model of data-related positions in enterprises constructed in this paper,corresponding suggestions are put forward for the education status of Master of Library and Information Science(MLIS):colleges and universities should constantly reflect on their talent training mode,increase the elective courses of data theory,guide students to actively participate in practice,and help students improve their data literacy and various characteristics in light of the enterprises recruitment requirements and social reality.
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