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Emanuela Colasante Mercedes Gori Luca Bastiani Marco Scalese Valeria Siciliano Sabrina Molinaro 《Journal of gambling studies / co-sponsored by the National Council on Problem Gambling and Institute for the Study of Gambling and Commercial Gaming》2014,30(4):789-801
Since no Italian validated instrument focuses specifically on the measurement of pathological gambling in very young people, with this study, we aim to adapt an international instrument (SOGS-RA) and assess its psychometric properties in a sample (n = 14.910) of young Italian students aged between 15 and 19 years. Cross-cultural adaptation of the instrument was performed through translation, synthesis of translation, back-translation, expert committee review, and pre-testing. The kappa statistic for test–retest concordance ranged from 0.53 to 0.80. Internal validity was assessed by the MCA that identified one principal component with eigenvalue equal to 3,875: the Divgi index and very simple structure analysis also pointed out one common factor, so uni-dimensionality of the SOGS-RA was accepted. Moreover the SOGS-RA was found to have acceptable internal consistency (α = 0.780). Cronbach’s alpha was also assessed separately among males and females (respectively 0.786 and 0.707). The SOGS-RA was assessed in relation to gambling frequency, alcohol and drug use: Chi squared test revealed a strong association both for males and females with gambling frequency (p value ≤ 0.0001), frequent use of illicit drugs (for each drug p value ≤ 0.0001) and having had 3 or more occasions of binge drinking in the last month (p value ≤ 0.0001). At the end we can say that, the results of our study suggest that the SOGS-RA screen may be useful to assess at-risk or problem gambling for both genders in comprehensive youth surveys. 相似文献
353.
Stefano Parodi Corrado Dosi Antonella Zambon Enrico Ferrari Marco Muselli 《Journal of gambling studies / co-sponsored by the National Council on Problem Gambling and Institute for the Study of Gambling and Commercial Gaming》2017,33(4):1121-1137
Identifying potential risk factors for problem gambling (PG) is of primary importance for planning preventive and therapeutic interventions. We illustrate a new approach based on the combination of standard logistic regression and an innovative method of supervised data mining (Logic Learning Machine or LLM). Data were taken from a pilot cross-sectional study to identify subjects with PG behaviour, assessed by two internationally validated scales (SOGS and Lie/Bet). Information was obtained from 251 gamblers recruited in six betting establishments. Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire. The following variables associated with PG were identified: instant gratification games, alcohol abuse, cognitive distortion, illegal behaviours and having started gambling with a relative or a friend. Furthermore, the combination of LLM and LR indicated the presence of two different types of PG, namely: (a) daily gamblers, more prone to illegal behaviour, with poor money management skills and who started gambling at an early age, and (b) non-daily gamblers, characterised by superstitious beliefs and a higher preference for immediate reward games. Finally, instant gratification games were strongly associated with the number of games usually played. Studies on gamblers habitually frequently betting shops are rare. The finding of different types of PG by habitual gamblers deserves further analysis in larger studies. Advanced data mining algorithms, like LLM, are powerful tools and potentially useful in identifying risk factors for PG. 相似文献
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This paper investigates the interplay between governance and disclosure in an agency setting, featured by concentrated ownership and high insider shareholders representation in the board. In this context, agency conflicts happen between large controlling shareholders and minority outside investors, with risks of private benefits exploitation. We regressed a voluntary disclosure index on seven governance variables related either to the board structure and functioning. The empirical evidence is provided by the Italian stock market. Our results suggest the presence of a complementary relationship between governance and disclosure. Diligent monitoring activity is associated with greater transparency to the outside. The findings are consistent with the view that internal and external control tend to be present at the same time, since the presence of one of them reduces the incentive for the controlling shareholders to limit the other. The empirical evidence also show that larger boards are not detrimental to outside shareholders, with regard to voluntary disclosure. The study can contribute to the understanding of the relationship between governance and disclosure in a particular agency setting. They might be of interest to practitioners and regulators, insofar as they are consistent with calls for more disclosure requirements in this agency setting. 相似文献
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Although material requirement planning (MRP) systems are widely used in manufacturing companies, they exhibit significant drawbacks. Rev MRP algorithm has been developed in order to reduce the system nervousness, generate a more regular pattern of order released and lower inventory levels. The aim of this paper is to test the Rev MRP algorithm on the case of one of the largest Italian manufacturing companies of home appliances. The company provided three sets of real data, referring to three different runs of their MRP. Results showed that the Rev MRP outperformed the company’s MRP smoothing the production order releases, eliminating overshoots and drastically reducing the inventory levels along the supply chain, even in case of frequent forecasts updates. 相似文献
360.
Summary The need to evaluate the performance of active labour market policies is not questioned any longer. Even though OECD countries
spend significant shares of national resources on these measures, unemployment rates remain high or even increase. We focus
on microeconometric evaluation which has to solve the fundamental evaluation problem and overcome the possible occurrence
of selection bias. When using non-experimental data, different evaluation approaches can be thought of. The aim of this paper
is to review the most relevant estimators, discuss their identifying assumptions and their (dis-)advantages. Thereby we will
present estimators based on some form of exogeneity (selection on observables) as well as estimators where selection might
also occur on unobservable characteristics. Since the possible occurrence of effect heterogeneity has become a major topic
in evaluation research in recent years, we will also assess the ability of each estimator to deal with it. Additionally, we
will also discuss some recent extensions of the static evaluation framework to allow for dynamic treatment evaluation.
The authors thank Stephan L. Thomsen, Christopher Zeiss and one anonymous referee for valuable comments. The usual disclaimer
applies. 相似文献