Efficiency and Effectiveness of Telecenters: A Case Study on ICT4D in Cambodia

Author(s):  
Sopheak Cheang
2021 ◽  
Vol 11 (13) ◽  
pp. 5826
Author(s):  
Evangelos Axiotis ◽  
Andreas Kontogiannis ◽  
Eleftherios Kalpoutzakis ◽  
George Giannakopoulos

Ethnopharmacology experts face several challenges when identifying and retrieving documents and resources related to their scientific focus. The volume of sources that need to be monitored, the variety of formats utilized, and the different quality of language use across sources present some of what we call “big data” challenges in the analysis of this data. This study aims to understand if and how experts can be supported effectively through intelligent tools in the task of ethnopharmacological literature research. To this end, we utilize a real case study of ethnopharmacology research aimed at the southern Balkans and the coastal zone of Asia Minor. Thus, we propose a methodology for more efficient research in ethnopharmacology. Our work follows an “expert–apprentice” paradigm in an automatic URL extraction process, through crawling, where the apprentice is a machine learning (ML) algorithm, utilizing a combination of active learning (AL) and reinforcement learning (RL), and the expert is the human researcher. ML-powered research improved the effectiveness and efficiency of the domain expert by 3.1 and 5.14 times, respectively, fetching a total number of 420 relevant ethnopharmacological documents in only 7 h versus an estimated 36 h of human-expert effort. Therefore, utilizing artificial intelligence (AI) tools to support the researcher can boost the efficiency and effectiveness of the identification and retrieval of appropriate documents.


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.


2018 ◽  
Vol 24 (7) ◽  
pp. 1178-1192 ◽  
Author(s):  
Siavash H. Khajavi ◽  
Jan Holmström ◽  
Jouni Partanen

PurposeInnovative startups have begun a trend using laser sintering (LS) technology patents expiration, namely, by introducing LS additive manufacturing (AM) machines that can overcome utilization barriers, such as the costliness of machines and productivity limitation. The recent rise of this trend has led the authors to investigate this new class of machines in novel settings, including hub configuration. There are various supply chain configurations to supply spare parts in industrial operations. This paper aims to explore the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it.Design/methodology/approachThis study quantitatively examines the feasibility of different AM-enabled spare parts supply chain configurations. Using cost data extracted from a case study, three scenarios per AM machine technology are modeled and compared.FindingsResults suggest that hub production configuration depending on the utilized AM machines can provide economic efficiency and effectiveness to reduce equipment downtime. While previous studies have suggested the need for AM machines with efficiency for single part production for a distributed supply chain, the findings in this research illustrate the positive relationship between multi-part production capability and the feasibility of a hub manufacturing configuration establishment.Originality/valueThis study explores the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it. Although the existing body of knowledge contains research on production decentralization, research on various levels of decentralization is lacking. Using a real-world case study, this study aims to compare the feasibility of different levels of decentralization for AM-enabled spare parts supply chains.


Author(s):  
Andra Florina Irinca

The present research underlines the importance of communication within an organization among its main stakeholders and its influence on the external market. It passes through explaining the communication in all fields and domains, creating an overview of the institutional communication, and why it is considered difficult to effectively propagate within a large institution. In addition, the internal communication and information and research so far conducted is analyzed with respect to the findings and lessons learned. In addition, it is important to know and understand how the internal communication evolved during years and which were the main approaches identified throughout the organizations. The case study aims to evaluate the level of information and the efficiency and effectiveness of the internal communication process within Bucharest University of Economic Studies with respect to its projects developed and financed through European funds in the last six years. The study is mainly run through the help of the questionnaire that was addressed to teachers and students within the faculty and has also the purpose to help improve the related communication in the foreseeable future based on the relevant findings.


Author(s):  
Vivienne Waller ◽  
Robert B. Johnston ◽  
Simon K. Milton

This chapter presents a new high level methodology for the analysis and design of information systems specifically to support routine action at the operational level of organizations. The authors argue that traditional methods fail to adequately address the unique requirements of support for routine operational action. The main innovation of the methodology is the use of an action-centred approach derived from recent work on the nature of purposeful human action, and as such, emphasises both the information requirements for action and the dependence of action upon appropriately structured environments. A brief case study illustrates how using the methodology can sensitize the analyst to opportunities to increase human efficiency and effectiveness through lighter weight information systems.


2011 ◽  
Vol 7 (4) ◽  
pp. 35-45 ◽  
Author(s):  
Niels de Winne ◽  
Marijn Janssen ◽  
Nitesh Bharosa ◽  
Remco van Wijk ◽  
Joris Hulstijn

Companies are required by law to report all kinds of information to various public agencies. Since most public agencies are autonomous and define their information demands independent of each other, companies have to report information to various agencies in different ways. Accordingly, governments are initiating programs that aim to transform business-to government information exchange to reduce the administrative burden for companies and improve the accountability at the same time. Yet little research is available on the type of transformations needed and the role of the infrastructure. Drawing on a case study, this paper investigates the interplay between technical infrastructure and transformation. In this case study an information brokerage infrastructure based on the Extensible Business Reporting Language (XBRL) was developed providing a one stop shop for companies and public agencies. The case study shows that the infrastructure should be flexible enough to accommodate changes over time but stable enough to attract a large user-base. The increase in efficiency and effectiveness of information exchange processes requires extensive transformation from both public and private parties.


Author(s):  
Susheel Chhabra ◽  
Mahadeo Jaiswal

The objective of this chapter is to design an e-government organizational performance framework and to suggest ICTs solutions through a case study of Haryana state government in India so as to enhance efficiency and effectiveness of services provided to citizens. The framework is suggested using responses collected from 150 government departments. The ICTs solutions were validated by data collected from 90 e-government experts. A log linear regression analysis is used to develop the framework. The framework with minor modifications can be developed for similar other e-government settings.


2019 ◽  
Vol 11 (2) ◽  
pp. 35-40
Author(s):  
Ashish Lathwal

Automation testing is a methodology that uses an application to implement the entire life cycle of the software in less time and provides efficiency and effectiveness to the testing software. In automation testing, the tester writes scripts and uses any suitable application software to test the software application. Automation is basically an automated process that is comprised of lots of manual activities. In other words, automation testing uses automation tools like Selenium, Sikuli, Appium, etc., to write test script and execute test cases, with no or minimal manual involvement required while executing an automated test suite. Usually, automation testers write test scripts and test cases using any of the automation tool and then groups test several cases. Here, we will discuss a neat case study explaining the automation testing using a hybrid test script.


2020 ◽  
Vol 15 (3) ◽  
pp. 360-367
Author(s):  
Khagendra Bahadur Thapa ◽  
Arbin Maharjan ◽  
Kishor Kaphle ◽  
Kishor Joshi ◽  
Tara Aryal

The adaptation of renewable energy has been increasing in a very encouraging way all over the world. Among various renewable energy resources, wind and solar energy are the promising sources of alternative energy. Wind and solar photovoltaic (PV) have been employed in parallel as a hybrid system for better electricity service. This paper presents a case study and modeling of wind-solar hybrid system in Hriharpur Gadi village, Sindhuli District, Nepal. The hybrid system yields 110kWh of energy per day meeting the village’s electricity demand of 87 kWh per day. Moreover, the hybrid power system with battery storage system is modeled using MATLAB simulator. Further, improvising in the existing modeling has been presented to enhance the efficiency and effectiveness of the system.


10.1068/b2652 ◽  
2000 ◽  
Vol 27 (3) ◽  
pp. 455-474 ◽  
Author(s):  
Zorica Nedović-Budić ◽  
Jeffrey K Pinto

The increased acceptance and use of computerized GIS and digital data sets in private and public organizations in the United States has been in recent years further encouraged by the Federal initiatives which promote sharing of geographic data. In spite of the obvious benefits in terms of efficiency and effectiveness to be derived from sharing geographic information both within and between organizations, the idea continues to be resisted, leading to inefficiencies from duplication of data collection and storage. Using case-study methodology, we examine in this research the mechanisms and behavioral factors that can facilitate or inhibit the willingness of organizations to share GIS and databases. Five cases, including organizations with varied levels of joint GIS and database activities, were studied to determine the characteristics underlying successful interorganizational GIS. Our findings offer a number of suggestions for organizations seeking to derive maximum benefits from the interorganizational GIS activities.


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