美墨边境加工业员工培训需求评估

Rolando Pena-Sanchez
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引用次数: 0

摘要

出口加工业的首要任务是雇用技术熟练的劳动力。因此,本研究探讨了评估企业对新市场的技术培训和/或教育服务要求的机会:对美墨边境边境加工业员工的技术培训。如果说德克萨斯州拉雷多市被公认为国际贸易的门户,那么德州农工国际大学(TAMIU)则可凭借其 "商业优势"(AACSB 和 SACS 认证、A. R. 桑切斯商学院 (ARSSB)、西半球贸易中心 (WHTC)、学士、硕士、双 MBA(双学位)和博士课程、专业认证和教育服务),被公认为国际商业领域不可或缺的高等教育机构。因此,我们可以认为,这项研究与拉雷多的商业优势平行:加工业、物流业、银行业等,应将其作为一个机遇领域加以考虑。图中展示了员工培训需求频率与出口加工业之间相互作用的理论模型。这些行业包括电子、汽车、纺织和其他行业(食品、化工、制药等),在这些行业中,员工审查了 31 个培训领域,这些培训领域分为三大块(基础、实践和功能)。通过非参数统计分析了员工培训要求的频率分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Training Requirements for Employees of Maquiladora Industry on the US-México Border
A priority of the maquiladora industry is to hire a skilled workforce. Thus, this research explores the opportunity to assess the requirements of technical training and/or educational services in business for a new market: The technical training of employees of the Maquiladora Industry on the US-México border. If Laredo, TX can be recognized as The Gateway of International Trade, then Texas A&M International University (TAMIU) can be acknowledged as the essential Higher Education Institution in International Business given its "business strengths” (AACSB  & SACS Accreditation, A. R. Sanchez School of Business (ARSSB), Western Hemisphere Trade Center (WHTC), Bachelor, Master, Dual MBA, (double degree) and Ph.D. Programs, Professional Certifications, QM Courses, Signature Courses, etc.); consequently, we can consider that this research is parallel to Laredo’s business  strengths: Maquiladora Industry, Logistics Industry, Bank Industry, etc. and should be pondered as an area of opportunity. A diagram of a theoretical model for the interaction between employees’ training requirements frequency and the maquiladora industry sectors is presented. The industrial sectors were electronic, automotive, textile, and other (food, chemicals, pharmaceuticals, etc.), where the employees reviewed 31 training areas clustered in three blocks (basic, practical, and functional). The frequency distribution of the employees' training requirements was analyzed via nonparametric statistics.
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