• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.165-165
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• 2023

Streamflow prediction is a critical task in water resources management and essential for planning and decision-making purposes. However, the streamflow prediction is challenging due to the complexity and non-linear nature of hydrological processes. The transfer learning is a powerful technique that enables a model to transfer knowledge from a source domain to a target domain, improving model performance with limited data in the target domain. In this study, we apply the transfer learning using the Informer model, which is a state-of-the-art deep learning model for streamflow prediction. The model was trained on a large-scale hydrological dataset in the source basin and then fine-tuned using a smaller dataset available in the target basin to predict the streamflow in the target basin. The results demonstrate that transfer learning using the Informer model significantly outperforms the traditional machine learning models and even other deep learning models for streamflow prediction, especially when the target domain has limited data. Moreover, the results indicate the effectiveness of streamflow prediction when knowledge transfer is used to improve the generalizability of hydrologic models in data-sparse regions.

• Knowledge Management Research
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• v.21 no.3
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• pp.123-140
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• 2020

In call centers where customers contact a firm's customer service without face-to-face interaction, customer service representatives (CSRs) determine its service competitiveness. In other words, a firm's service excellence relies on its CSRs. Drawing on the concept of agility from service and information technologies studies, this study conceptualizes customer response capability as a variable consisting of customer response expertise and customer response agility, and further verifies its effects on customer service performance. Moreover, this study examines whether a firm's digital and human knowledge resources are related to CSRs' customer response capability. To empirically test the proposed hypotheses, the partial least squares analysis is conducted with a total of 371 responses collected on CSRs from two insurance call centers. The findings indicate that a firm's digital and human knowledge resources enhance CSRs' customer response expertise and customer response agility, thereby increasing customer service performance. The results draw the conclusion that CSRs' customer response capability is a key antecedent of superior customer service.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.202-208
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• 2007

As one of the key strategic resources, the customer knowledge not only improves the performance of customer relationship management, but fosters the sustained competitive advantages as it creates values for customers with customer knowledge management. On the basis of the general introduction of research on customer knowledge management, this paper develops the research on customer knowledge management from the perspective of strategic management, and discusses further relevant studies concerning concepts of customer knowledge and customer knowledge management, studying perspectives, key questions as well as development directions for research, and so on.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.2
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• pp.7-31
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• 2019

This study was conducted to investigate the awareness and utilization of the Internet resources and services for academic activities by the academic staff of tertiary institutions in Adamawa State. The researchers adopted a quantitative research method using cross-sectional survey design to collect data from the respondents. Multi-stage sampling techniques were used. Three hundred and thirty-three (333) copies of the questionnaire were administered to the respondents in the eight (8) sampled institutions and two hundred and ninety-two (292) respondents representing (87.6%) were returned and found useful. The data collected were analyzed using descriptive and inferential statistics by the use of SPSS version 20.0. The findings revealed that respondents were aware of all the Internet resources, (e-books, e-journals, and online databases), but regarding the Internet services, they were mostly aware of only the e-mail. The study further found that online database and e-mail as the most Internet resources and services utilized by the respondents. There are inverse and weak relationship between awareness and utilization of the Internet resources and services by the academic staff of tertiary institutions in Adamawa State. The study recommends increase awareness and use to other Internet resources such as the e-books and e-journal and Internet services, especially Usenet, Discussion group and Telnet by the management of the institutions through training, workshops/conferences for better academic activities.

• School Mathematics
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• v.15 no.3
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• pp.533-550
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• 2013

Teachers' mathematical knowledge for teaching (MKT) strongly influence student achievement (Hill, Rowan, & Ball, 2005). However, there is generally no record that shows the levels of teachers' MKT in schools and districts. Because of the limited resources, schools and districts need some criteria to decide how to distribute their resources to help teachers improve MKT. This study explores what factors in teachers' backgrounds are related to their levels of MKT. This article examines the relationships between the MKT of 336 elementary teachers and their demographic, educational, and teaching backgrounds. To measure MKT, I used a series of multiple-choice problems. The number of years teaching mathematics is not critical to these measures. Implications are discussed with regard to policy for mathematics teacher education.

• International Journal of Knowledge Content Development & Technology
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• v.7 no.3
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• pp.29-48
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• 2017

The aim of this paper was to determine the utilization of online information resources by undergraduate students in the University of Nigeria, Nsukka. It was undertaken specifically with the objectives of identifying the online information resources used; academic purposes for their use, extent, problems and strategies for improving the academic use of the resources by undergraduate students. Descriptive survey was used as the research design. The population of this study comprises of all 25,657 regular registered undergraduate students in University of Nigeria, Nsukka. The sample for this study comprises 2500 students which is 10% of the population. The results of the study shows that most of the online information resources are not used by the undergraduate students. Just a few of them are highly used. Some of the academic purposes for the use of the resources include to do course assignment and project works and to stay up-to-date on social events. The major problems responsible for the low utilisation of the resources include incessant power failure, limited available computers in the university library, and server's low bandwidth. Based on the findings, maintenance of uninterrupted power supply, provision of enough computers in the library; constant upgrade of server's bandwidth and many more were recommended as the strategies for improving the use of online information resources by undergraduate students in UNN. The implication of this study lies in the fact that solutions to the problems raised would be helpful to the university management, librarians and students in ensuring maximum and adequate provision and effective utilisation of online information a resources in the library.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.1-30
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• 2013

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

• International Journal of Knowledge Content Development & Technology
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• v.5 no.1
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• pp.69-88
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• 2015

This study seeks to present an option for including a variety of information resources in a reference linking service system. Discussion on reference linking service in journals began in 1999 and applied to real systems, but linking to research papers and patent registers has more recently emerged. This study further suggests that system construction include various information resources such as books and dissertations. This paper also presents principles and prerequisites that should be considered essential when building such systems, including expansion of resources and media formats, development of identifiers on every sort of information resource, linking methods to existing DB, publication revolution and managing copyright-holders, use and improvement of OPACs, and building perfect authority DB.

• Research in Mathematical Education
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• v.25 no.2
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• pp.135-158
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• 2022

This study aimed to building models to understand the relationships between reasoning resources and content knowledge. We applied Support Vector Machine and linear models to the data including fifth graders' scores in the Cornel Critical Thinking Test and the Iowa Assessments, demographic information, and learning science approach (a student-centered approach to learning called the Science Writing Heuristic [SWH] or traditional). The SWH model showing the relationships between critical thinking domains and academic achievement at grade 5 was developed, and its validity was tested across different learning environments. We also evaluated the stability of the model by applying the SWH models to the data of the grade levels. The findings can help mathematics educators understand how critical thinking and achievement relate to each other. Furthermore, the findings suggested that reasoning in mathematics classrooms can promote performance on standardized tests.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.195-201
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• 2018

This study is attempted to demonstrate the structure of the influencing factors on the performance of services of knowledge based service firms. In the model presented, the structure is that service performance in knowledge-based services are affected by the strategic utilization of knowledge resources and service orientation factors of the service organization. And the service performance are also affected in which the systemization of service processes and customer satisfaction play a mediating role. As an analysis result of examining 148 practitioners engaged in the knowledge service industry, it is necessary to increase the satisfaction of external customers in order to improve service performance in a knowledge-based service organizations. This can be achieved by increasing the satisfaction of internal customers. In addition, for this structure to be successful, the service production process to be provided to the customer must be enhanced. The service production process has been found to be an important factor influencing the internal customer satisfaction and service delivery process, especially in the use of knowledge resource, and customer oriented service among service orientation factors.