• Journal of Korea Society of Industrial Information Systems
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• v.24 no.4
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• pp.37-52
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• 2019

This study examines the effects of supplier dependence on supply chain relationships, communication practices, and relationship performance in manufacturing-part companies. The structural equation modeling technique with AMOS 23.0 was used to test hypotheses using data collected in the research model. The results show that supplier dependence positively affects supply chain relationships and communication practices. In addition, the results confirm the effect of supply chain relationships and communication practices on relationship performance. It is also demonstrated that supply chain relationships and communication practices through supplier dependence play a key role in improving relationship performance for supply chain management. Furthermore, it contributes to the practice of supply chain management as well as to efficiency through collaborative activities of supplier-buyer in the supply chain processes.

• Journal of Korean language education
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• v.29 no.2
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• pp.73-100
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• 2018

The purpose of this study is to investigate learner-learner dialogue during speaking tasks. In the Korean language classroom, conversation between learners is an important activity as speaking practice. However, learner dialogue is also a tool to enable learners to collaboratively conduct various cognitive activities in the classroom. In previous research, it was unfolded that through learner-learner dialogue, learners can solve second-language related problems and set a goal to carry out tasks. Therefore, this study analyzed learner-learner dialogue to investigate what kinds of cognitive activities are activated during the role-play task. As a result, the learners collaboratively generated and monitored language and content for role play. Also, in order to accomplish tasks more successfully, learners shared the same understanding about the goal of the task, and tried to manage the task procedure. Through learner-learner dialogue, learners can participate in cognitive activities such as content, language construction, and task management voluntarily without the help from teachers. This means that learner-learner dialogue can be an activity to support language learning tasks. Also, it can make learners actively involved in learning and by sharing resources with each other. It is also important that learners can experience language use that participates in real-world communication activities, such as learning in the classroom and collaborating with peer learners. This study is an exploratory study for a basic understanding of learner's conversation as a cognitive activity, and the scope of the study is limited to clarifying contents of learner-learner dialogue as a cognitive activity in speaking tasks. Based on the findings of this study, future research should be conducted on the function of learner-learner dialogue as a cognitive activity in Korean language learning and its role in the classroom of Korean language education.

• Journal of Information Science Theory and Practice
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• v.12 no.3
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• pp.75-88
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• 2024

This study aims to assess the maturity of Korean open access (OA) journals using the OA infrastructure provided by the Korea Institute of Science and Technology Information, and develop necessary strategies for future improvement. The assessment model consists of three dimensions, 12 items, and 24 sub-items. The importance of the three dimensions (A: OA policy establishment and disclosure, B: OA sustainability, and C: Journal openness quality) was differentiated by the Analytic Hierarchy Process, and the maturity stages were divided into five levels (Entry, Growth1, Growth2, Maturity1, and Maturity2). The assessment was carried out twice for 100 academic journals. The results indicated that the proportion of journals at or above the Growth1 level increased by 11% to reach 83% during the second assessment phase, which could be owing to the learnings of the first assessment. Following expert consultations on the assessment results, three support measures were identified to activate OA. The first includes OA promotion and education activities, which involve creating standard regulations and guidelines, and advancing educational activities for societies that are either preparing for or currently implementing OA. The second involves providing support for technical aspects, such as identifiers, XMLization, and copyright management, through peer review and OA publishing platforms. The third includes collaborative activities to enhance journal evaluations and the recognition criteria for researchers' achievements in OA journals, and fostering cooperation with national and research and development institutions for financial support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.610-619
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• 2016

Digital manufacturing (DM) technology helps engineers design products promptly and reliably at low production cost by simulating a manufacturing process and the material behavior of a product in use, based on three-dimensional digital modeling. The computing infrastructure for digital manufacturing, however, is usually expensive and, at present, the number of professional design engineers who can take advantage of this technology to a product design accurately is insufficient, particularly in small and medium manufacturing companies. Considering this, the Korea Institute of Science and Technology Information (KISTI) and H University is operating a DM track in the form of Industry-University-Research Institute collaboration to train high-performance-computing-based DM professionals. In this paper, a series of courses to train students to work directly into DM practice in industry after graduation is reported. The operating cases of the DM track for two years since 2013 are presented by focusing on the progress in establishment, lecture and practice contents, evaluation of students, and course quality improvement. Overall, the track management, curriculum management, learning achievement of students have been successful. By expediting more active participation of the students in the track and providing more internship and job offers in the participating companies in addition to collaborative capstone design projects, the track can be expanded by fostering a nationwide training network.

• Journal of Construction Engineering and Project Management
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• v.5 no.2
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• pp.11-15
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• 2015

The Last PlannerSystem (LPS) has been implemented on construction projects to increase work flow reliability, a precondition for project performance againstproductivity and progress targets. The LPS encompasses four tiers of planning processes:master scheduling, phase scheduling, lookahead planning, and commitment / weeklywork planning. This research highlights deficiencies in the current implementation of LPS including poor lookahead planning which results in poor linkage between weeklywork plans and the master schedule. This poor linkage undetermines the ability of theweekly work planning process to select for execution tasks that are critical to projectsuccess. As a result, percent plan complete (PPC) becomes a weak indicator of project progress. The purpose of this research is to improve lookahead planning (the bridgebetween weekly work planning and master scheduling), improve PPC, and improve theselection of tasks that are critical to project success by increasing the link betweenShould, Can, Will, and Did (components of the LPS), thereby rendering PPC a betterindicator of project progress. The research employs the case study research method to describe deficiencies inthe current implementation of the LPS and suggest guidelines for a better application ofLPS in general and lookahead planning in particular. It then introduces an analyticalsimulation model to analyze the lookahead planning process. This is done by examining the impact on PPC of increasing two lookahead planning performance metrics: tasksanticipated (TA) and tasks made ready (TMR). Finally, the research investigates theimportance of the lookahead planning functions: identification and removal ofconstraints, task breakdown, and operations design.The research findings confirm the positive impact of improving lookaheadplanning (i.e., TA and TMR) on PPC. It also recognizes the need to perform lookaheadplanning differently for three types of work involving different levels of uncertainty:stable work, medium uncertainty work, and highly emergent work.The research confirms the LPS rules for practice and specifically the need to planin greater detail as time gets closer to performing the work. It highlights the role of LPSas a production system that incorporates deliberate planning (predetermined andoptimized) and situated planning (flexible and adaptive). Finally, the research presents recommendations for production planningimprovements in three areas: process related, (suggesting guidelines for practice),technical, (highlighting issues with current software programs and advocating theinclusion of collaborative planning capability), and organizational improvements(suggesting transitional steps when applying the LPS).

• Journal of the Korean Chemical Society
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• v.64 no.6
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• pp.401-415
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• 2020

The purpose of this study was to investigate the factors that affect the maintenance of the effect of mentoring for beginning science teachers. Mentee teachers for this study were ten mentee teachers who took part in the collaborative mentoring from 2014 to 2018. For this study, the videos of the first and fifth classes submitted during the mentoring program, mentors and mentees' journals, the videos of the classes recorded in 2019, questionnaires about reflection on the mentoring program, and interview materials were collected and analyzed. The result of this study is as follows. First, the reflective thinking was sustained after the mentoring program, and this played a crucial role in maintaining the effects of the mentoring. The group that showed the improvement of RTOP score had reflective thinking and made reflective practice on their teaching. Most participants in the group created the classes of constructivism based on self-reflection on their classes. However, no positive changes in the classes occurred to mentee teachers who couldn't have reflective thinking. Second, reflective practices during the mentoring program exerted a strong influence on the teaching method of mentee teachers. The group of the improvement in RTOP score strived to apply student-centered model of instruction to their classes. It was showed that most mentee teachers in the group kept applying the student-centered model to their classes after the mentoring was completed. These results indicate reflective thinking and reflective practice are crucial factors to the effect of the mentoring and its maintenance.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.27-39
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• 2023

This study aimed to develop SSTPBL (Student-led Simulation with Team and Problem-Based Learning), whichcombines TBL and PBL with a student-led method to strengthen knowledge application, nursing diagnosis ability, and collaboration ability among the core competencies of nurses. Then, SSTPBL was applied to nursing students, and the results were assessed. The data was collected from September 15, 2022, to December 21, 2022, with structured questionnaires and focus group interviews with 51 fourth-year nursing students at a university in A City. The collected data were analyzed using SPSS version 25.0 and topic analysis. As a results, it was effective in simulation experience satisfaction(t = 3.51, p < .01), vSim experience satisfaction(t = 3.50, p < .01), preparation as a prospective nurse(t = 3.73, p < .01), learning self-efficacy(t = 3.87, p < .01), collaborative self-efficacy (t = 4.30, p < .01), problem-solving ability(t = 5.26, p < .01), educational satisfaction(t = 3.54, p < .01), digital health equity(t = 2.18, p < .05). Through the qualitative data's topic analysis, six main topics were derived. The main topics were 'similar to clinical practice', 'difficulty in immersion', 'learning through others', 'learning through self-reflection', 'improving confidence through new experiences' and 'new teaching methods'. Based on the results of this study, it is expected that SSTPBL can be used in various ways as a new training method for prospective nurses in the face of growing clinical practice restrictions after the pandemic.

• Land and Housing Review
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• v.3 no.4
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• pp.369-378
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• 2012

In France, there are many forms of organizations based on the intercommunal solidarity for city development and management. The purpose of the collaboration among Communes is to achieve high quality and well-equipped service-delivery system through co-operation of public services needed grand finances : water supply and sewage system and waste disposal system etc. The cooperation among French Communes and its effects, even though these were owing to the existing French local administration system, continued throughout regional co-management and social co-development process. This study suggested some characteristics and implications of the collaborative-style French new-town development and management organizations focused on the EPA, SAN and CA. First, the role of developmental corporation like EPA and its collaborative structure of decision-making are meaningful, because in these ways many related Communes could share a goal of new town development. Second, the way of new town corporation (SAN) is important in the sense of enabling the Communes to collaborate with each others while maintaining autonomy, so those are not simply state-directed objects, which was very difficult in the former French local administration system. Finally, transforming to CA (Communautes d'agglomeration:city community), EPA as an intercommunal corporation is possible to extend its purpose to the domain of regional planning including new town and periphery areas and change its position to a subject which can practice Commune's sustainable development according to stages of city's development and maturity. The most important implication of this study on urban development in Korea is that administrative consultative council or association among local governments and related authorities need to be established and effectively operate because multi-stakeholders could share a goal of urban development and management through that.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.11-27
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• 2024

This study aimed to investigate the role of scientific empathy in influencing students' productive disciplinary engagement in scientific activities and analyze the key factors of scientific empathy that manifest during this process. Twelve fifth-grade students were divided into three subgroups based on their general empathic abilities. Lessons promoting productive disciplinary engagement, integrating design thinking processes, were conducted. Subgroup discourse analysis during idea generation and prototype stages, two of five problem-solving steps, enabled observation of scientific empathy and practice aspects. The results showed that applying scientific empathy effectively through design thinking facilitated students' productive disciplinary engagement in science. In the idea generation stage, we observed an initial increase followed by a decrease in scientific empathy and practice utterances, while during the prototyping stage, utterance frequency increased, particularly in the later part. However, subgroups with lower empathic abilities displayed decreased discourse frequency in scientific empathy and practice during the prototype stage due to a lack of collaborative communication. Across all empathic ability levels, the students articulated all five key factors of scientific empathy through their utterances in situations involving productive science engagement. In the high empathic ability subgroup, empathic understanding and concern were emphasized, whereas in the low empathic ability subgroup, sensitivity, scientific imagination, and situational interest, factors of empathizing with the research object, were prominent. These results indicate that experiences of scientific empathy with research objects, beyond general empathetic abilities, serve as a distinct and crucial factor in stimulating diverse participation and sustaining students' productive engagement in scientific activities during science classes. By suggesting the potential multidimensional impact of scientific empathy on productive disciplinary engagement, this study contributes to discussions on the theoretical structure and stability of scientific empathy in science education.