• Title/Summary/Keyword: Business Simulation Learning

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Understanding of Business Simulation learning: Case of Capsim

  • KIM, Jae-Jin
    • Fourth Industrial Review
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    • v.1 no.1
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    • pp.31-40
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    • 2021
  • Purpose - According to the importance of business simulation learning as a new type of business learning tool, this study reviews the dimensions of business education and a brief history of business education simulation. At the end Capsim strategic management simulation program is introduce with its feature. Research design, data, and methodology - This study has been analyzed in a way that reviews at previous literature on simulation learning and looks at examples and features of Capsim simulation, online business simulation tools which has been used in the global market. Result - Capsim simulations are designed to offer focused opportunities for deep practice. That's why they are often more effective than passive tools such as textbooks, videos, or lectures. By the way, 'deep practice' is very different from 'ordinary practice'. After commuters who drive to school or work can accumulate thousands of hours of driving, but that doesn't make them expert drivers. The key to deep practice is self-awareness. That is, paying attention to what you are doing well and not so well. This is so important to learn that scientists use a specific term for it: 'metacognition', or thinking about the way you think and learn. Conclusion - The use of business simulation learning, such as Capsim, which is a given case, can create similar local systems by potentially engaging a large number of users in the virtual market. It could also be used as an individual to complete business training for students and those who are active in the business field of business.

Feasibility Analysis and Curriculum Design for the Business Simulation Learning (경영 시뮬레이션 학습의 타당성 분석 및 교수모형 설계)

  • Lee, Jae-Won;Park, Jin- Meyoung
    • The Journal of the Korea Contents Association
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    • v.9 no.8
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    • pp.309-323
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    • 2009
  • Business simulation learning is a business education method of the software applications that applied for the university's management training. Its interest is increasing as management training tools to simulate the virtual enterprise and to learn the business management knowledge, management skills, experience and problem-solving. This research was done for the feasibility analysis and management education model design of the business simulation learning. As a prior research to the introduction and operation of the university's business simulation learning curriculum, the need and literature research on the possibility recognition of classes for college students and corporate executives, a demand survey research and analysis was done and discussed the necessity and possibility of the business simulation learning for the industry and universities education area. In addition, we designed a curriculum of the business simulation learning and presented some of education models of management for the university's management training purpose by using the results of the survey research and literature analysis.

The Use of Internet in Creating an Effective Distance Learning - Focused on Business Simulation Game - (인터넷을 이용한 효과적인 원격수업의 운영 - 경영모의게임을 중심으로 -)

  • Gim, Gwang-Yong
    • Asia pacific journal of information systems
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    • v.8 no.1
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    • pp.125-144
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    • 1998
  • This article describes the use of Internet as a means of operating the class which is business simulation game. The aims of investigation are to summarize the characteristics of distance learning using information technology, to find proper operating procedures for the internet class focusing on small group formation, to check the major factors affecting the teaching effectiveness, and to suggest the business simulation game as a proper distance learning class using internet.

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Moderating Effect of Learning styles on the relationship of quality and satisfaction in the context of Business Simulation Game (시뮬레이션활용 경영 교육의 품질요인과 성과에 대한 학습유형의 조절효과)

  • Ahn, Tony Donghui
    • Journal of Service Research and Studies
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    • v.7 no.4
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    • pp.151-164
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    • 2017
  • This study aims to explore the effect of quality factors and learning styles on users' satisfaction in the use of business simulation tools in business education. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from university students. The quality factors of education using simulation were classified into contents, education environment, interpersonal activities, and instructor support while learning styles were classified into proactive, self-directed, environmental-dependent, and passive styles. The results showed that each quality factors of education using business simulation had a strong positive effect on user satisfaction. Proactive and environment-dependent group had higher satisfaction than other groups. Learning styles had moderating effects on the quality-satisfaction relationship, and the direction and degree varied depending on the quality factors and learning styles. Theoretical and practical implications were drawn from these findings.

Development of a Structured Debriefing for Business Simulation Games and Its Effect on College Students' Business Knowledge and Entrepreneurship Competencies

  • Jieun LEE;Yugyeong KIM;Hyunwoo HWANG
    • Educational Technology International
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    • v.25 no.1
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    • pp.93-127
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    • 2024
  • This study evaluates the effect of structured debriefing for a business simulation game for university students. The program provides an authentic learning experience of real-world business management by allowing learners to make decisions related to R&D, marketing, production, and finance through a business simulation game, and check the results in real time. In 2022, University A and B each ran a business simulation game-based program as an extra-curricular activity. University A conducted a traditional instructor-led debriefing where the instructor explained the summarized process and results, while University B implemented a structured debriefing which had been developed based on Gibbs' and 3D models. To assess the effect of the structured debriefing compared to the traditional instructor-led debriefing, business knowledge and entrepreneurship competencies were measured three times. Repeated measures ANOVA was used to test for the differences between the two groups and to examine interaction effects between group and time. The structured debriefing group achieved statistically significantly higher academic scores than the traditional instructor-led debriefing group at the post-test and in 2 weeks. There was no statistically significant difference between the groups in terms of entrepreneurship competencies. There was no interaction effect between group and time, both in academic achievement and in entrepreneurship competencies. In conclusion, the simulation game-based program integrated with the structured debriefing session is more likely to have a stronger impact on academic achievement and its retention.

Development of Teaching Methods for Competency Development in Business Class (경영수업을 위한 역량육성형 교수법 개발)

  • Sung, Haengnam
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.3
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    • pp.83-104
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    • 2017
  • It is the approach of development of teaching methods for competency development in business class. This study distinguishes areas that can be commonly applied to many business subjects. And we derive core competencies from the basic skills of NCS. The results of this study are as follows. First, we have established an opportunity to distinguish the subject field of business administration(personnel/organization/strategy, production/operation management, marketing, financial/finance/insurance, accounting, MIS). Second, we have proposed guidelines for the setting of the each subject goals and the setting of the professor's competency. Third, we have summarized teaching method which are studied as valid in business class(lecture method, problem based learning method, action learning teaching method, and management simulation teaching method) and we suggested how to apply teaching methods to the each subject.

A Study about the Usefulness of Reinforcement Learning in Business Simulation Games using PPO Algorithm (경영 시뮬레이션 게임에서 PPO 알고리즘을 적용한 강화학습의 유용성에 관한 연구)

  • Liang, Yi-Hong;Kang, Sin-Jin;Cho, Sung Hyun
    • Journal of Korea Game Society
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    • v.19 no.6
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    • pp.61-70
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    • 2019
  • In this paper, we apply reinforcement learning in the field of management simulation game to check whether game agents achieve autonomously given goal. In this system, we apply PPO (Proximal Policy Optimization) algorithm in the Unity Machine Learning (ML) Agent environment and the game agent is designed to automatically find a way to play. Five game scenario simulation experiments were conducted to verify their usefulness. As a result, it was confirmed that the game agent achieves the goal through learning despite the change of environment variables in the game.

Process Chain-Based Information Systems Development and Agent-Based Microworld Simulation As Enablers of the Learning & Agile Organization (학습, 민활 조직 실현을 위한 프로세스 사슬 기반 정보시스템 개발과 에이전트 기반 소세계 시뮬레이션)

  • Park, Kwang-Ho
    • Asia pacific journal of information systems
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    • v.9 no.3
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    • pp.177-194
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    • 1999
  • Identifying knowledge as the single most important asset ultimately defining organizational competitiveness, enterprises are trying to move towards knowledge-oriented practices. Such practices have given rise to learning and agile organization, This paper presents applied information technologies to realize the learning and agile organization, focusing on systems thinking. Firstly, in order to establish a framework for the systems thinking, an information systems development method based on process chain is proposed. Then, an agent-based microworld simulation approach is presented. The approaches provide visible and analytical information to knowledge workers so that they can have systems thinking capabilities eventually. Various microworlds on the top of the information system can be constructed with agents and simulated for possible business events. All decision makings are dynamic in nature. To let knowledge workers look ahead the possible outcomes of the whole relevant processes is the core capability of the approaches. Through watching, the knowledge workers would be able to acquire new insights or problem solving knowledge for the problem in hand.

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Modern Probabilistic Machine Learning and Control Methods for Portfolio Optimization

  • Park, Jooyoung;Lim, Jungdong;Lee, Wonbu;Ji, Seunghyun;Sung, Keehoon;Park, Kyungwook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.2
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    • pp.73-83
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    • 2014
  • Many recent theoretical developments in the field of machine learning and control have rapidly expanded its relevance to a wide variety of applications. In particular, a variety of portfolio optimization problems have recently been considered as a promising application domain for machine learning and control methods. In highly uncertain and stochastic environments, portfolio optimization can be formulated as optimal decision-making problems, and for these types of problems, approaches based on probabilistic machine learning and control methods are particularly pertinent. In this paper, we consider probabilistic machine learning and control based solutions to a couple of portfolio optimization problems. Simulation results show that these solutions work well when applied to real financial market data.

PERFORMANCE EVALUATION OF INFORMATION CRITERIA FOR THE NAIVE-BAYES MODEL IN THE CASE OF LATENT CLASS ANALYSIS: A MONTE CARLO STUDY

  • Dias, Jose G.
    • Journal of the Korean Statistical Society
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    • v.36 no.3
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    • pp.435-445
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    • 2007
  • This paper addresses for the first time the use of complete data information criteria in unsupervised learning of the Naive-Bayes model. A Monte Carlo study sets a large experimental design to assess these criteria, unusual in the Bayesian network literature. The simulation results show that complete data information criteria underperforms the Bayesian information criterion (BIC) for these Bayesian networks.