학술논문

Representation and Assessment of Systems Thinking Competencies Through Soft Logic
Document Type
Periodical
Source
IEEE Access Access, IEEE. 11:141547-141558 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Systems thinking
Organizations
Complexity theory
Recruitment
Problem-solving
Focusing
Complex systems
Human resources
recruitment
soft logic
systems thinking
Language
ISSN
2169-3536
Abstract
Systems thinking is a trait that enables seeing the ‘big picture’. Therefore, it is critical for engineers in the 21st century, as it empowers them to comprehend the dynamic behaviors exhibited by complex systems and effectively tackle the challenges inherent in such systems. Systems thinking skills are inherently multi-dimensional rather than a singular, scalar measure. When evaluating different candidates for an organizational role, such as engineers, significant challenges can arise due to the dilemmas that the multi-dimensional property may trigger. This study introduces the use of Soft logic, a relatively new mathematical approach, to provide a more comprehensive representation of systems thinking skills. By employing the Soft logic tool, engineers’ capacity for systems thinking can be assessed across multiple dimensions, offering a valuable aid in the evaluation process. Soft logic enables accommodating in a single variable both the central values of each dimension, as well as the tensions between these dimensions. The tool allows for ordering individuals according to their systems thinking skills, while considering each dimension’s provided weight. In regard to previous research in this field, the current methodology enables focusing on the diversity of the skills dimensions within a specific individual in addition to the diversity between individuals. This tool, for example, can enhance the selection process of engineers, ensure a better fit between engineers and job roles, and ultimately promote more effective problem-solving and decision-making within complex systems.