-
K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters
Issue:
Volume 8, Issue 3, May 2023
Pages:
63-72
Received:
30 March 2023
Accepted:
19 April 2023
Published:
10 May 2023
Abstract: The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.
Abstract: The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there ar...
Show More
-
A Review of Road Traffic Accident Prediction Methods
Wang Shunshun,
Yan Changshun,
Shao Yong
Issue:
Volume 8, Issue 3, May 2023
Pages:
73-77
Received:
20 April 2023
Accepted:
23 May 2023
Published:
29 May 2023
Abstract: With the continuous development of urban traffic and the acceleration of urbanization, traffic accidents have become an important issue for urban safety and social stability. In order to prevent and reduce the occurrence of traffic accidents, traffic accident prediction technology has gradually become a hot spot for research. This paper analyzes road traffic accident prediction techniques from articles included in relevant English journals and provides a detailed introduction to the road traffic accident prediction techniques that are already in existence. This paper introduces the current status of research on traffic accident prediction techniques, including traditional statistical analysis methods, machine learning methods, neural network methods, time series analysis methods and techniques based on spatio-temporal data mining, and analyses the advantages and disadvantages of each road traffic accident prediction method. These methods are able to analyse the influencing factors of traffic accidents, build prediction models, improve prediction accuracy and provide strong support for road traffic accident prevention effects for urban traffic safety. Finally, the main difficulties faced in road traffic accident prediction and the future development trend of road traffic accident prediction is discussed. The work done in this paper can provide necessary theoretical support for relevant researchers and save the time needed for literature review.
Abstract: With the continuous development of urban traffic and the acceleration of urbanization, traffic accidents have become an important issue for urban safety and social stability. In order to prevent and reduce the occurrence of traffic accidents, traffic accident prediction technology has gradually become a hot spot for research. This paper analyzes ro...
Show More
-
An Exploratory Study on the Success Factors of Corporate Foresight – Based on the Case of Korea Material Companies
Kwon Eun Ju,
Park Youngil
Issue:
Volume 8, Issue 3, May 2023
Pages:
78-83
Received:
8 May 2023
Accepted:
9 June 2023
Published:
14 June 2023
Abstract: This study noted that the importance of systematic foresight activities increases as preparation for the future becomes difficult due to the high volatility of the corporate environment. The concept and characteristics of corporate foresight were analyzed, and significant issues arising from corporate foresight were derived through case analysis. Corporate foresight, referred to here, can be defined as a series of activities that predict an uncertain future at the corporate level to secure the ability to respond by detecting changes early. The study found that factors such as management commitment, organizational capabilities, and organizational culture influence the practice of corporate foresight. Also, the study confirmed that corporate foresight could generate meaningful results only when actively promoted based on management's understanding of future predictions. Rather than the accuracy of foresight, forming consensus inside and outside the organization and securing the validity of the future prepared by the company through the process of recognition, prediction, and probing of change was meaningful. Corporate foresight is a practice to increase revenue and improve intangible capabilities such as organizational culture and research and development capabilities. Notably, this study analyzed the characteristics and significant considerations of corporate foresight through the case of domestic companies in an environment where corporate foresight is often carried out confidentially, internally, and rarely systematically.
Abstract: This study noted that the importance of systematic foresight activities increases as preparation for the future becomes difficult due to the high volatility of the corporate environment. The concept and characteristics of corporate foresight were analyzed, and significant issues arising from corporate foresight were derived through case analysis. C...
Show More
