• Education of Primary School Mathematics
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• v.26 no.4
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• pp.317-332
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• 2023

Mathematical modeling activities hold the potential for diverse applications, involving the transformation of real-life situations into mathematical models to facilitate problem-solving. In order to assess the cognitive, affective, and social dimensions of students' engagement in mathematical modeling activities, this study conducted sessions with ten groups of fifth-grade elementary school students. The ensuing processes and outcomes were thoroughly analyzed. As a result, each group effectively applied mathematical concepts and principles in creating mathematical models and gathering essential information to address real-world tasks. This led to notable shifts in interest, enhanced mathematical proficiency, and altered attitudes towards mathematics, all while promoting increased collaboration and communication among group members. Based on these analytical findings, the study offers valuable pedagogical insights and practical guidance for effectively implementing mathematical modeling activities.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.34 no.2
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• pp.125-133
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• 2024

Objectives: The aim of this study is to develop a comprehensive Occupational Safety and Health (OSH) guide for maintenance tasks in semiconductor processing, specifically focusing on etching, deposition, and ion implantation processes. Methods: The development of the OSH guide involved a literature review, consultations with industry experts, and field investigations. It concentrates on Maintenance Work (MW) operations in these specialized areas. Results: The result is a detailed OSH guide tailored to MW in etching, deposition, and ion implantation facilities within semiconductor processing. This guide is structured to assist maintenance workers through pre-, during and post-MW phases, ensuring easy comprehension and adherence to safety protocols. It highlights the necessity of safety and health measures throughout the MW process to protect personnel. The guide is enriched with real-life scenarios and visual aids, including cartoons and photographs, to aid in the understanding and implementation of safety and health principles. Conclusions: This OSH guide is designed to enhance the protection of workers engaged in maintenance activities in the electronics sector, particularly in semiconductor manufacturing. It aims to improve compliance with safety and health standards in these high-risk environments.

• Journal of the Korean Dietetic Association
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• v.19 no.3
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• pp.265-286
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• 2013

The present study was conducted to develop a standardized job description for clinical dietitians working in hospitals. A developing curriculum (DACUM) method was used for the job analysis of clinical dietitians. Based on DACUM analysis with 14 members, including clinical dietitians and professors majoring in clinical nutrition and job analysis, information on the duties, tasks, and task elements of clinical dietitians was determined. To verify the job descriptions derived from DACUM analysis, a total of 46 tertiary and general hospitals with over 500 beds were recruited for the survey. The final developed job description for clinical dietitians included 7 duties, 27 tasks, and 93 task elements. The duties consisted of nutritional assessment, nutrition diagnosis, nutrition intervention, nutrition monitoring evaluation, consultation cooperation, nutrition research, and self-development. The mean scores of perceived importance, performance, and difficulty on the clinical dietitian's task elements (out of a maximum score of 5.0) were 4.5, 3.7, and 3.5, respectively, with significant differences between the items (P<0.001). The perceived importance and performance grid of clinical dietitian's tasks showed that "construction and maintenance of collaboration" (E2) and "activity of quality improvement" (F1) received relatively low scores for performance despite their high importance scores; thus the performance of these tasks requires significant improvement. In conclusion, the job descriptions of clinical dietitians developed from this study are useful for the qualitative improvement of clinical nutrition services in hospitals.

• Asia pacific journal of information systems
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• v.22 no.2
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• pp.39-69
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• 2012

With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

• Information Systems Review
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• v.13 no.3
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• pp.99-121
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• 2011

With the advancement of mobile information technology, the era of smart work emerges as a means for enabling us to overcome temporal and spatial constraints. Thanks to smart mobile devices with seamless access, organizations can assign tasks to employees and provide services to the appropriate customers in mobile environments. In addition, smart work facilitates the improvement of coordination and collaboration among individuals and groups performing organizational tasks. The dramatic performance improvement is manifest by utilization of smart work in organizations. Therefore, the interest in the introduction of smart work is growing. With the lens of time-geography, this study investigates what makes smart work successful. This research, especially, concentrates on the processes for overcoming the temporal and spatial constraints in the field. A case study of the Seoul Metropolitan Rapid Transit Talk and Flash (SMRT T&F) is developed and analyzed through the framework of time-geography and the implementation processes and success factors of SMRT T&F are investigated.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.275-288
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• 2009

The research has been investigated to enhance job recognition and satisfaction in Emergency medical information center and to induce some positive suggestions to develop emergency medical information centers in Korea. As a result, the findings found that the tasks which the experts felt are most easily ones are the guidance, counseling, and advice of a patient, while the most difficult tasks are the advice on the first-aid treatment and the guidance of the hospitals. The research has found the findings that most employees feel that they perform their jobs quite well including the guidance and consultation of first-aide patients. They also feel that they are under stress in consulting patients, and in making decisions to visit emergency centers and to observe the patients in limited information without seeing patients in person. They are concerned about the identity of emergency information centers, feeling that it is difficult to construct smoothly the collaboration of such agencies as the administrative, emergency medical centers, 119 resue teams to treat first aide treatments, to provide transportation information, and hospital guidance.

• Advances in robotics research
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• v.2 no.3
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• pp.201-217
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• 2018

Agriculture production is a critical human intensive task, which takes place in all regions of the world. The process to grow and harvest crops is labor intensive in many countries due to the lack of automation and advanced technology. Much of the difficult, dangerous and dirty labor of crop production can be automated with intelligent and robotic platforms. We propose an intelligent, agent-oriented robotic team, which can enable the process of harvesting, gathering and collecting crops and fruits, of many types, from agricultural fields. This paper describes a novel robotic organization enabling humans, robots and agents to work together for automation of gathering and collection functions. The focus of the research is a model, called HARMS, which can enable Humans, software Agents, Robots, Machines and Sensors to work together indistinguishably. With this model, any capability-based human-like organization can be conceived and modeled, such as in manufacturing or agriculture. In this research, we model, design and implement a technology application of knowledge-based robot-to-robot and human-to-robot collaboration for an agricultural gathering and collection function. The gathering and collection functions were chosen as they are some of the most labor intensive and least automated processes in the process acquisition of agricultural products. The use of robotic organizations can reduce human labor and increase efficiency allowing people to focus on higher level tasks and minimizing the backbreaking tasks of agricultural production in the future. In this work, the HARMS model was applied to three different robotic instances and an integrated test was completed with satisfactory results that show the basic promise of this research.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.433-443
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• 2022

Purpose: This qualitative study was to understand the awareness of epidemiological investigation tasks for nurses who were in charge of coronavirus disease 2019 (COVID-19) epidemiological investigations. Methods: Before data collection, written consent was obtained from 13 participants, and the data were then collected from September 1 to December 31, 2021. Individual interviews were conducted and recorded by video interview using Zoom, and data were transcribed verbatim. Four themes were derived by using the qualitative thematic analysis method. Results: The participants perceived that epidemiological investigations were burdensome but that the field work was important, and that expertise and collaboration were required. The participants started work without preparation due to the explosive increase in the number of confirmed COVID-19 cases, and they recognized work conflicts, unstable employment, and exhaustion as obstacles to their work performance. On the other hand, the participants took pride in contributing to the national epidemiological investigation and control and felt a sense of responsibility as nursing professionals. Finally, participants mentioned that the training of infectious disease practitioner was important for work improvement. Conclusion: Further research is needed on the development of standardized manuals for the training of nursing personnel as infectious disease specialists through the job analysis of epidemiological investigators.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.131-143
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• 2024

Purpose - The purpose of this study was to analyze cases of big data-driven business in the financial industry, focusing on organizational structure and business processes using big data in banking industry. Design/methodology/approach - This study used a case study approach. To this end, cases of two banks implementing big data-driven business were collected and analyzed. Findings - There are two things in common between the two cases. One is that the central tasks for big data-driven business are performed by a centralized organization. The other is that the role distribution and work collaboration between the headquarters and business departments are well established. On the other hand, there are two differences between the two banks. One marketing campaign is led by the headquarters and the other marketing campaign is led by the business departments. The two banks differ in how they carry out marketing campaigns and how they carry out big data-related tasks. Research implications or Originality - When banks plan and implement big data-driven business, the common aspects of the two banks analyzed through this case study can be fully referenced when creating an organization and process. In addition, it will be necessary to create an organizational structure and work process that best fit the special situation considering the company's environment or capabilities.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.9
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• pp.219-226
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• 2018

One of the systematic ways to generate the number of all cases is a combination to construct a combination tree, and its time complexity is O($2^n$). A combination tree is used for various purposes such as the graph homogeneity problem, the initial model for calculating frequent item sets, and so on. However, algorithms that must search the number of all cases of a combination are difficult to use realistically due to high time complexity. Nevertheless, as the amount of data becomes large and various studies are being carried out to utilize the data, the number of cases of searching all cases is increasing. Recently, as the GPU environment becomes popular and can be easily accessed, various attempts have been made to reduce time by parallelizing algorithms having high time complexity in a serial environment. Because the method of generating the number of all cases in combination is sequential and the size of sub-task is biased, it is not suitable for parallel implementation. The efficiency of parallel algorithms can be maximized when all threads have tasks with similar size. In this paper, we propose a method to efficiently collaborate between CPU and GPU to parallelize the problem of finding the number of all cases. In order to evaluate the performance of the proposed algorithm, we analyze the time complexity in the theoretical aspect, and compare the experimental time of the proposed algorithm with other algorithms in CPU and GPU environment. Experimental results show that the proposed CPU and GPU collaboration algorithm maintains a balance between the execution time of the CPU and GPU compared to the previous algorithms, and the execution time is improved remarkable as the number of elements increases.