计划行为理论
工作(物理)
链接(几何体)
接口(物质)
知识管理
工作行为
心理学
计算机科学
人机交互
工程类
人工智能
机械工程
计算机网络
控制(管理)
气泡
最大气泡压力法
并行计算
作者
Samson Onyeluka Chukwuedo,Anthony Osinachi Okorafor,Ikechukwu Chidiebere Odogwu,Francisca N. Nnajiofor
出处
期刊:Higher Education, Skills and Work-based Learning
[Emerald (MCB UP)]
日期:2024-04-19
标识
DOI:10.1108/heswbl-06-2023-0141
摘要
Purpose Within the umbrella of technology and vocational education (TVET), technology or technical education in higher institutions of learning is obligated to produce the required manpower needed in the industry. Thus, it is pertinent to explore the interaction between the industry and higher education students. Drawing on the tenets of theory of planned behavior (TPB), this study offers valuable insights into the nomological networks of work-integrated learning (WIL), perceived behavioral control (PBC), subjective norm (SBN), personal attitude (PAT) and job search intention (JSI). Design/methodology/approach The study applied a structurally hypothesized model that was drawn from the TPB to collect data for the constructs. Using a cross-sectional survey after the WIL experiences of the students, we collected data from technology education undergraduates ( N = 214) in their final academic year from universities in Nigeria. Findings With structural equation modeling, the study found that WIL is directly associated with JSI, PBC, SBN and PAT. In line with the tenets of the TPB, simple mediation models were supported about the influence of WIL on JSI via PBC and PAT discretely but not via SBN. Further, the results support two paths of serial mediation models, indicating sequential indirect links between WIL and JSI via SBN and PBC, as well as via SBN and PAT. Research limitations/implications Our findings have implications for higher education practitioners, industry experts and employers of labor. Originality/value Although extant literature has relatively shown that WIL impacts employability skills, this study has remarkably shown the WIL-JSI nexuses within the variables of TPB.
科研通智能强力驱动
Strongly Powered by AbleSci AI