scholarly journals UNIVERSITY LIBRARY PORTAL AN EFFECTIVE KNOWLEDGE MANAGEMENT TOOL: A CASE STUDY OF SAVITRIBAI PHULE PUNE UNIVERSITY

Author(s):  
Manisha B. Mane ◽  
Bhausaheb M Panage
IFLA Journal ◽  
2020 ◽  
Vol 46 (1) ◽  
pp. 15-24
Author(s):  
Long Xiao

A traditional library’s functions are centered on library collection and information resources and their utilization. A library management system comprises resource acquisition, cataloguing, circulation, reading, and reference in respect of “literature streams.” Functionally, libraries have currently evolved into knowledge service centers, which are oriented toward knowledge, committed to knowledge innovation, and centered on the knowledge demands of users. Meanwhile, library management has also gradually shifted to focus on knowledge management. However, the applications of knowledge management are mainly limited to library services. It lacks innovative applications in internal management such as business flow and institutional settings. This article takes Peking University Library, one of the top-notch academic libraries in China, as a case study to explore this issue. Through restructuring its organization and re-setting its staff positions based on the “knowledge stream” as the core, the academic library intends to satisfy the knowledge demands of different types of users and create an environment in favor of knowledge flow and innovation. All of these efforts further support the development of the university.


2010 ◽  
Vol 7 (1) ◽  
pp. 67
Author(s):  
Kalsom Salleh ◽  
Syed Noh Syed Ahmad ◽  
Syed Omar Sharifuddin Syed Ikhsan

The potential impact of knowledge management in the public sector organizations on the stakeholders is greater than that in the private sector organizations. Knowledge management is regarded as an essential component to the Electronic Government evolution in Malaysia because it uses people and technology to generate creativity and innovation in the existing systems to improve productivity and quality of services. Thus. this paper explores the role ofknowledge management in the Local Authorities in a broader perspective towards achieving the Electronic Government. A case study research of knowledge management in the Local Authorities is imperative as it provides empirical evidence on whether knowledge management is a suitable platform for Electronic Government evolution in Malaysia. Survey questionnaires were distributed to the senior and middle management government officers in the Local Authorities located in the Kuala Lumpur Federal Territory and Selangor State. This group ofgovernment officers was selected as they are responsible for the strategic policies and operational management in various departments ofthe Local Authorities. The responses from the questionnaires were aimed to identify the potential benefits and challenges in using KM as a strategic management tool to improve the internal operational efficiency and electronic service delivery system ofthe Local Authorities. Thefindings revealed a high level ofperceived importance ofKM benefits in achieving the Electronic Government paradigm. However, the main obstaclesfor the Local Authorities to adopt knowledge management are non-standardized processes and procedures of organizational systems and outdated information and communication technology and inadequate knowledge management tools.


2008 ◽  
Author(s):  
Elfriede M. Ederer-Fick ◽  
Anita Giener ◽  
Helga Kittl-Satran ◽  
Brigitte Schachner

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.


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