1,721,059 research outputs found
Talking About Uncertainty
Full text linkIn the first article we review existing theories of uncertainty. We devote particular attention to the relation between metacognition, uncertainty and probabilistic expectations. We also analyse the role of natural language and communication for the emergence and resolution of states of uncertainty. We hypothesize that agents feel uncertainty in relation to their levels of expected surprise, which depends on probabilistic expectations-gaps elicited during communication processes. Under this framework above tolerance levels of expected surprise can be considered informative signals. These signals can be used to coordinate, at the group and social level, processes of revision of probabilistic expectations. When above tolerance levels of uncertainty are explicated by agents through natural language, in communication networks and public information arenas, uncertainty acquires a systemic role of coordinating device for the revision of probabilistic expectations. The second article of this research seeks to empirically demonstrate that we can crowd source and aggregate decentralized signals of uncertainty, i.e. expected surprise, coming from market agents and civil society by using the web and more specifically Twitter as an information source that contains the wisdom of the crowds concerning the degree of uncertainty of targeted communities/groups of agents at a given moment in time. We extract and aggregate these signals to construct a set of civil society uncertainty proxies by country. We model the dependence among our civil society uncertainty indexes and existing policy and market uncertainty proxies, highlighting contagion channels and differences in their reactiveness to real-world events that occurred in the year 2016, like the EU-referendum vote and the US presidential elections. In the third article, we propose a new instrument, called Worldwide Uncertainty Network, to analyse the uncertainty contagion dynamics across time and areas of the world. Such an instrument can be used to identify the systemic importance of countries in terms of their civil society uncertainty social percolation role. Our results show that civil society uncertainty signals coming from the web may be fruitfully used to improve our understanding of uncertainty contagion and amplification mechanisms among countries and between markets, civil society and political systems
The impact of national culture and social capital on corporate social responsibility attitude among immigrants entrepreneurs
No full textAlthough significant attention has been given to the phenomenon of
immigrant entrepreneurship, little is known about the adoption of corporate social
responsibility (CSR) in immigrant firms. Beyond the traditional social, cultural and
regulatory challenges in the last years immigrant entrepreneurs have had to cope
with the wide growing interest towards CSR, with raising expectations about firm’s
environmental and social behaviors. This study provides initial insights on this topic
by studying the effect of social capital and national culture on the immigrant
entrepreneur’s attitude to adopt CSR in three areas: social, health and safety and
environment. Sixty semi-structured interviews were conducted among immigrant
entrepreneurs in the Italian Province of Milan; the first one for number of immigrant
entrepreneurs. Data collected were analyzed through OLS regression. Findings
shows that power distance and individualism/collectivism have a negative relation
with all the three CSR areas, while uncertainty avoidance is negatively related only
to environmental effort. We find out a robust relation between national culture and
environmental and social practices and the health and safety area. The study concludes
with practical implications and suggestions for future research. The paper is
one of the first studies that address the topic of CSR among immigrant entrepreneurs.
Understanding the commitment of this firms is relevant for the debate around
CSR and SMEs, mainly because immigrant entrepreneurs are increasing their relevance
in the developed countries
Knowledge integration in family SMEs: an extension of the 4I Model
No full textThis article explores the process of learning and strategic change in small and medium-sized family firms (family SMEs). Organizational learning theory posits that knowledge must be integrated throughout the firm to facilitate strategic renewal. This process occurs in a particular way in family SMEs, according to their specific characteristics. In such firms the family’s role, the company size and the lack of formal procedures and systems strongly affect the process of learning and change. The study applies the 4I model of organizational learning to three case studies and offers empirical support for this model. The article has theoretical implications for variants of the 4I model as applied to family SMEs, and implications for practice related to the family’s role in starting and perpetuating the process of learning and change
The internationalization of small and medium-sized enterprises: the effect of family management, human capital and foreign ownership.
No full textResearch on factors affecting the internationalization of SMEs is attracting growing interest. However, only a limited number of empirical analyses have explored the question of if and to what extent the family character of the firm has an effect on internationalization decisions. Relying on data from a sample of 1,324 Italian manufacturing SMEs, this paper shows that involvement of the owning family in management negatively influences export propensity but, once the choice to go international has been made, both the degree of internationalization and geographical scope in family-managed firms are not significantly different from nonfamily-managed firms. Empirical results also show that the level of human capital and the presence of foreign shareholders in the SMEs positively influence internationalization. Innovation propensity, size, and age of the firm as well as industry characteristics are included in the analysis as control variables
Price changes around hedge fund trades: disentangling trading and disclosure effects
No full textPrevious studies find positive stock market reactions around announcements that hedge funds own large equity stakes in companies and use this evidence to support the hypothesis that hedge fund activism creates value. A concurrent explanation is that the price reaction reflects, at least in part, the market impact associated with hedge fund trades. We exploit the blockholder’s legal filing requirements with the Italian regulatory authority (CONSOB) to separately examine trading and disclosure effects associated with hedge fund trades. Trading effects are related to hedge funds’ buying activity on the market, whereas disclosure effects are related to the possibility that the market anticipates future activism and reacts to the announcement of hedge funds’ ownership. The trading effect is significantly larger than the disclosure effect. This result implies that the price impact associated with hedge fund purchases explains a large portion of the price reaction attributed exclusively to hedge fund activism in previous studies. We also find that trading by hedge funds produces a permanent change in the stock price, which occurs in equal part both prior to and concurrent to the trading activity. The execution strategy used by hedge funds to accumulate their position (on exchange or downstairs trading vs. block trading or upstairs) affects both the size and the temporal distribution of the trading effect
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
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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