1,720,959 research outputs found
A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications
No full textThe present paper explores the application of bootstrap methods in testing for serial dependence in observed driven Integer-AutoRegressive (models) considering Poisson arrivals (P-INAR). To this end, a new semiparametric and restricted bootstrap algorithm is developed to ameliorate the performance of the score-based test statistic, especially when the time series present small or moderately small lengths. The performance of the proposed bootstrap test, in terms of empirical size and power, is investigated through a simulation study even considering deviation from Poisson assumptions for innovations, i.e., overdispersion and underdispersion. Under non-Poisson innovations, the semiparametric bootstrap seems to “restore” inference, while the asymptotic test usually fails. Finally, the usefulness of this approach is shown via three empirical applications
Knowledge, diffusion and interest towards blockchain technology in SMEs
No full textBlockchain technology could can lead to radical changes by improving business model and process. Employing this technology in small and medium enterprises (SMEs) still represents a novel idea. Moreover, not much is actually known about the benefits brought by technology to SMEs. This research focuses on how SMEs perceive the new technology, in doing that we analyze the degree of knowledge, diffusion, and interest of the blockchain by SMEs. We designed and addresses a questionnaire to a sample of 300 SMEs in Italy. Results show that blockchain technology is quite well known, but the level of knowledge is quite limited. Moreover, the research reveals that the rate of adoption is very low. Regarding the interest to implement blockchain in the future results are optimistic
The integration of performance management and risk management in the public sector: an empirical case
No full textPerformance management and risk management in the public sector have undergone significant improvements; however, few empirical studies have conceptualised the integration of performance management and risk management. This study aimed to understand why it fails in practice and turns into disintegration. To do this, we analyse the role of diferent actors involved in the integration between performance management and risk management. We have conducted our analysis at the organisational level in a regional context, adopting two different research methods, documentary analysis and collections of interviews. This paper contributes to the theoretical debate with interesting new insights about organisational practices in the public sector. In this research, we adopted the disintegration framework, broadly used as a research methodology in the ontological and social paradigm as reported (Täubig in Totale Institution Asyl, Juventa Verlag, Munich, 2009) for analysing the
integration and disintegration between performance management and risk management. This approach presumes the collective engagement of researchers and practitioners, which can help bring to the surface the knowledge embedded in practice and transform it into actionable knowledge to produce practice changes. This study contributes to the public accounting literature by providing empirical evidence about
organisational practices in the public sector. It offers a practical and general understanding of performance management and risk management practices functioning in public government. It shows the fundamental role played by key actors when performance management and risk management practices are implemented. This empirical
research also has practical implications, creating the basis for the implementation of an integrated system of performance management and risk management in regional governments
Performance governance per la generazione di Valore Pubblico in sanità. Evidenze empiriche dalle aziende sanitarie dell’Emilia-Romagna
No full textThe finalization of hospitals' performance cycle towards Public Value (PV) can represent a way to overcome the trade-off between efficiency and improvement of social and healthcare impacts. The paper exploits the adequacy of the systematization, programming and reporting tools of performance in hospitals, which can be documented through the presence of useful performance information to support their governance towards the generation of PV. The results of the documentary analysis show a lack of presence of performance governance elements in the systematization, programming and reporting documents of the 13 public hospitals investigated in the Emilia-Romagna Region and the need to deepen the scientific debate on the concept of PV in the healthcare secto
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models
Full text linkPasses are undoubtedly the more frequent events in football and other team sports. Passing networks and their structural features can be useful to evaluate the style of play in terms of passing behavior, analyzing and quantifying interactions among players. The present paper aims to show how information retrieved from passing networks can have a relevant impact on predicting the match outcome. In particular, we focus on modeling both the scored goals by two competing teams and the goal difference between them. With this purpose, we fit these outcomes using Bayesian hierarchical models, including both in-match and network-based covariates to cover many aspects of the offensive actions on the pitch. Furthermore, we review and compare different approaches to include covariates in modeling football outcomes. The presented methodology is applied to a real dataset containing information on 125 matches of the 2016–2017 UEFA Champions League, involving 32 among the best European teams. From our results, shots on target, corners, and such passing network indicators are the main determinants of the considered football outcomes
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
On the use of passing network indicators to predict football outcomes[Formula presented]
No full textSummary statistics for football matches, such as ball possession and percentage of completed passes, are not always satisfyingly informative about team strategies seen on the pitch. Passing networks and their structural features can be used to evaluate the style of play in terms of passing behavior, analyzing and quantifying interactions among players. The aim of the present paper is to show how information retrieved from passing networks can have a significant impact on the match outcome. At a descriptive level, we provide useful graphic visualizations to compare teams and their individual level of connection. Therefore, we directly compute and discuss network properties, such as centralization, clustering and cliques, from a football perspective. Then, we model the probability of winning the game through four competitive machine learning models including network-based indicators as explanatory variables with a set of in-field variables. The real dataset for application includes 96 matches in the Group Stage of the 2016–2017 UEFA Champions League, involving the 32 best European teams. This approach shows that some network-based variables, such as diameter and betweenness centralization, can be related to the level of offensive actions and finalizations for a team. Furthermore, we show that such variables help improve all considered models in terms of explanatory power, compared to those presenting only in-field regressors. Among the presented models, binomial logistic regression shows the best results according to a set of performance indicators
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