scholarly journals Social Recommendation and External Resources for Book Search

Author(s):  
Romain Deveaud ◽  
Eric SanJuan ◽  
Patrice Bellot
1993 ◽  
Vol 32 (4II) ◽  
pp. 1067-1078
Author(s):  
Saleem M. Khan

The Mobilisation of domestic resources and their efficient utilisation are two of the most crucial tasks in revitalising the economy of Pakistan. Historically, low saving fotmation and relatively higher targets of investment and economic growth made it imperative to depend on external resources. Despite heavy domestic borrowing from both private and public sectors, there still has remained an unmet resource gap that has necessitated dependence on foreign capital. I In recent years, the sources of foreign assistance have become scarce due to a growing shortage in world saving and growing domestic demand for budget appropriations in the western countries. If economic growth in Pakistan is to be sustained and selfgenerating, investment in physical and human development must be increased and mad more efficient. To meet this challenge, most of the capital will have to come from domestic sources. Hence, the focus of this paper is on harnessing domestic efforts to increase saving formation and to enhance efficiency of capital investments. Traditionally, the government of Pakistan has relied on conventional approaches to increasing domestic saving. First, the government has been encouraging greater saving by the private sector through a package of national saving schemes and by allowing financial institutions to introduce saving incentives. Saving-schemes and saving incentives have not produced satisfying results. Table 1 shows saving and investment in selected South Asian countries. Saving in Pakistan is very low and, indeed, among the lowest even when compared with neighbouring and other developing countries. Explanations of this failure include the low levels of income and high rate of inflation in the country.2 Moreover, the financial institutions have in general remained inefficient.


ASJ. ◽  
2020 ◽  
Vol 1 (40) ◽  
pp. 53-57
Author(s):  
A.V. Kurbatov A.V., ◽  
L.A. Kurbatova

The continuing build-up in the speed of deepening of the global economic crisis, driven by just as fast drop in quantity of the external resources calculated per inhabitant of our planet, forces us to refer to internal resources in order to prevent the irreversible losses, to overcome the crisis and ensure the sustainable development. Beginning from the second half of the 20-th century, the hopes for efficient deployment of internal resources have been laid on the development of the human-capital theory. However, despite the intensive change in perception of the very concept of "human capital" and a wide scope of innovative models of its practical application, aimed at bringing the economy out of stagnation, the desired outcome is not achieved. The trend of transferring of the bulk of investments to human capital, at the expense of the share of investments spent on increased production, has proved insufficient. The analysis of causes of ultra-high risks of investments in increase of human capital has helped to determine that the models, which are used currently, do not take into account some of the fundamental patterns, which ensure the high efficiency of investment in human capital. Most of the models are based on application of the methods of situational governance, which, at best, have a short-term positive effect. This trend results from the insufficient awareness of managers of the fundamental patterns of human capital development, which deprives the investors of the possibility to benefit from the optimal combination of the situational governance with relevant long-term programs, which can steadily increase human capital. The researches of the fundamental patterns of human capital development have shown, that the main factor for achieving the high efficiency of investment in human capital is the correct organization of the processes of value determination of the subjects of economic activity and the transition from the value determination to value-semantic determination, thus ensuring guaranteed attainment of goals along with high dynamics of resources. The work presented here is dedicated to the method of managing the quality of human capital, which is hereafter referred to as value-semantic economy.


Author(s):  
Changhao Song ◽  
Bo Wang ◽  
Qinxue Jiang ◽  
Yehua Zhang ◽  
Ruifang He ◽  
...  

2021 ◽  
Vol 20 (4) ◽  
pp. 50-64
Author(s):  
Bissan Audeh ◽  
Michel Beigbeder ◽  
Christine Largeron ◽  
Diana Ramírez-Cifuentes

Digital libraries have become an essential tool for researchers in all scientific domains. With almost unlimited storage capacities, current digital libraries hold a tremendous number of documents. Though some efforts have been made to facilitate access to documents relevant to a specific information need, such a task remains a real challenge for a new researcher. Indeed neophytes do not necessarily use appropriate keywords to express their information need and they might not be qualified enough to evaluate correctly the relevance of documents retrieved by the system. In this study, we suppose that to better meet the needs of neophytes, the information retrieval system in a digital library should take into consideration features other than content-based relevance. To test this hypothesis, we use machine learning methods and build new features from several metadata related to documents. More precisely, we propose to consider as features for machine learning: content-based scores, scores based on the citation graph and scores based on metadata extracted from external resources. As acquiring such features is not a trivial task, we analyze their usefulness and their capacity to detect relevant documents. Our analysis concludes that the use of these additional features improves the performance of the system for a neophyte. In fact, by adding the new features we find more documents suitable for neophytes within the results returned by the system than when using content-based features alone.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Junguang Gao ◽  
Yuan Cheng ◽  
Hui He ◽  
Fuzhen Gu

Abstract Innovative startups can bring many benefits to society. Drawing on the social network theory (SNT) and resource-based view (RBV), with mix methods approach, this paper argues that as the primary path for startups acquiring external resources, social networks are beneficial to improving innovative startups’ innovation performance. Using a large amount of data from GEM (Global Entrepreneurship Monitor), this paper first runs correlation analysis and regression analysis to empirically analyze entrepreneurs’ social networks’ impact on China’s innovative startups’ innovation performance. The results show that both formal and informal social networks are positively correlated with innovative startups’ innovation performance. Then we consider the moderating effect of entrepreneurial competence and motivation. And the results show both entrepreneurial competence and motivation positively moderate the correlation above. Second, to explore the above correlation’s internal mechanism, we conduct semi-structured interviews with 14 entrepreneurs. Drawing on the resource management theory (RMT) and the process of cross-border knowledge search and assimilation, the mechanism model of entrepreneurs’ social networks on startups’ innovation performance is proposed through content analysis.


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