The European e-Competence Framework (e-CF) provides a reference of 40 competences as applied at the Information and Communication Technology (ICT) workplace, using a common language for competences, skills, knowledge and proficiency levels that can be understood across Europe.
Following consultation of CEN member states, the e-CF became a European standard and was published in 2016 officially as the European Norm (EN) 16234.
Identical in its structure and content to the e-CF 3.0 CWA, the new EN format provides great opportunities for further dissemination and continued adoption of the framework Europe-wide.
To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics.
While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed.
The e-CF version 3.0 gives clear definitions and sound orientation to support decision-making in relation to the selection and recruitment of candidates, as well as the qualification, training and assessment of ICT professionals.
It enables the identification of skills and competences that may be required to successfully perform duties and fulfill responsibilities related to the ICT workplace.
Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies. He received his Master of Science in Technology Management from the National University of Tainan and Bachelor of Business Administration from the National Chung Cheng University, both in Taiwan.
His research interests can be categorized into three major areas: 1) healthcare information technology, 2) social media analytics and 3) IT-enabled innovation and business value.
To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics.