This study aims to determine the effect of work culture and motivation on performance. This study uses secondary data and primary data which was collected through questionnaire's survey from the government employees of Indonesian Agency for Agricultural Research and Development, Ministry of Agriculture. The population in this study a number of 7525 people, while the samples are taken as 176 respondents who are civil servants Balitbangtan. The method of analysis using Structural Equation Modeling (SEM) analysis. According to the method of Partial Least Square (PLS), work culture and motivation have a significant impact on performance. The study also showed that the most dominant factor influencing performance is the motivation. According to this result, Balitbangtan need to continue to improve the application of cultural values and motivation of civil servants because they have a direct impact on performance. Support from the systems, policies, and budgets is required to achieve good performance of employees, which is one indicator of the success of bureaucracy reform program.
Search engines retrieve and rank Web pages which are not only relevant to a query but also important or popular for the users. This popularity has been studied by analysis of the links between Web resources. Link-based page ranking models such as PageRank and HITS assign a global weight to each page regardless of its location. This popularity measurement has shown successful on general search engines. However unlike general search engines, location-based search engines should retrieve and rank higher the pages which are more popular locally. The best results for a location-based query are those which are not only relevant to the topic but also popular with or cited by local users. Current ranking models are often less effective for these queries since they are unable to estimate the local popularity. We offer a model for calculating the local popularity of Web resources using back link locations. Our model automatically assigns correct locations to the links and content and uses them to calculate new geo-rank scores for each page. The experiments show more accurate geo-ranking of search engine results when this model is used for processing location-based queries.
Purpose -this article aims to evaluate the use and the costs of AMIN the interlibrary loan service in Iran.Design/methodology/approach -A questionnaire was used for the data collection which was completed by those librarians in charge of AMIN in the academic libraries.
Findings -The statistics collected from six libraries showed that 514 items were loaned, of which 49% were journal articles and 43% were books. Post was used for the delivery of about 55% of the items, while email was only used for the delivery of only 7% of the items. The average time spent for dealing with each request (the time lapse between reception of the request and dispatching the item) was about 7.1 days. The library of the University of Tehran was the most effective library in this regard as it only took 3.4 days on average for each request. The study revealed that the participating libraries did not have a proper procedure in place for collecting usage statistics and therefore one cannot evaluate the effectiveness of the AMIN service.Originality/value -The paper reveals the cost of document supply in Iranian academic libraries and illustrates that the ILL services in Iran are not efficient and measures could be taken to reduce the cost and increase the efficiency of the services.
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