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Twitter is a popular microblogging service which has proven, in recent years, its potential for propagating news and information about developing events. The purpose of this paper is to focus on the analysis of information credibility on Twitter. The purpose of our research is to establish if an automatic discovery process of relevant and credible news events can be achieved.

The paper follows a supervised learning approach for the task of automatic classification of credible news events. A first classifier decides if an information cascade corresponds to a newsworthy event. Then a second classifier decides if this cascade can be considered credible or not. The paper undertakes this effort training over a significant amount of labeled data, obtained using crowdsourcing tools. The paper validates these classifiers under two settings: the first, a sample of automatically detected Twitter “trends” in English, and second, the paper tests how well this model transfers to Twitter topics in Spanish, automatically detected during a natural disaster.

There are measurable differences in the way microblog messages propagate. The paper shows that these differences are related to the newsworthiness and credibility of the information conveyed, and describes features that are effective for classifying information automatically as credible or not credible.

The paper first tests the approach under normal conditions, and then the paper extends the findings to a disaster management situation, where many news and rumors arise. Additionally, by analyzing the transfer of our classifiers across languages, the paper is able to look more deeply into which topic-features are more relevant for credibility assessment. To the best of our knowledge, this is the first paper that studies the power of prediction of social media for information credibility, considering model transfer into time-sensitive and language-sensitive contexts.

Automatic text categorization has applications in several domains, for example e‐mail spam detection, sexual content filtering, directory maintenance, and focused crawling, among others. Most information retrieval systems contain several components which use text categorization methods. One of the first text categorization methods was designed using a naïve Bayes representation of the text. Currently, a number of variations of naïve Bayes have been discussed. The purpose of this paper is to evaluate naïve Bayes approaches on text categorization introducing new competitive extensions to previous approaches.

The paper focuses on introducing a new Bayesian text categorization method based on an extension of the naïve Bayes approach. Some modifications to document representations are introduced based on the well‐known BM25 text information retrieval method. The performance of the method is compared to several extensions of naïve Bayes using benchmark datasets designed for this purpose. The method is compared also to training‐based methods such as support vector machines and logistic regression.

The proposed text categorizer outperforms state‐of‐the‐art methods without introducing new computational costs. It also achieves performance results very similar to more complex methods based on criterion function optimization as support vector machines or logistic regression.

The proposed method scales well regarding the size of the collection involved. The presented results demonstrate the efficiency and effectiveness of the approach.

The paper introduces a novel naïve Bayes text categorization approach based on the well‐known BM25 information retrieval model, which offers a set of good properties for this problem.

The authors explore the hypothesis that some movements in commodity prices are anticipated (news shocks) and can trigger aggregate fluctuations in small open emerging economies. This paper aims to discuss the aforementioned objective.

The authors build a multi-sector dynamic stochastic general equilibrium model with endogenous commodity production. There are five exogenous processes: a country-specific interest rate shock that responds to commodity price fluctuations, a productivity (TFP) shock for each sector and a commodity price shock. Both TFP and commodity price shocks are composed of unanticipated and anticipated components.

The authors show that news shocks to commodity prices lead to higher output, investment and consumption, and a countercyclical movement in the trade-balance-to-output ratio. The authors also show that commodity price news shocks explain about 24% of output aggregate fluctuations in the small open economy.

Given the importance of both anticipated and unanticipated commodity price shocks, policymakers should pay attention to developments in commodity markets when designing policies to attenuate the business cycles. Future research should investigate the design of optimal fiscal and monetary policies in SOE subject to news shocks in commodity prices.

This paper contributes to the knowledge of the sources of fluctuations in emerging economies highlighting the importance of a new source: news shocks in commodity prices.

This paper aims to present a systematic review of the literature on sustainability for the competitiveness of firms to identify the state of the art, significant discussions and new research directions. Recently, due to the negative impacts that traditional and unsustainable practices of companies have caused the Planet (e.g. climate change, sanitary crisis), national and international research urgently calls for the assessment of sustainable practices in firms. However, progress seems slow due to a poor understanding of the necessary changes that companies must make in their specific reality. Competitiveness has remained as firms’ primary strategy to endure. Some have associated sustainability with an increment of costs, sometimes with a negative impact on its competitiveness. Sometimes generating oppositions from stakeholder and institutions regulations, it is important to explore how these behaviors and dynamics of this relationship between sustainability and competitiveness affect the pursued transition to sustainability.

A systematic review of the literature, which is a scientific tool, is used in this research. It allows reliably and accurately analyzing and constructing conclusions from a broad database. The search was leaked over the 10 years, from 2010 to 2019. As a basis, 182 scientific articles were identified and revised based on methodology selection criteria and 51 articles were revised in detail.

This paper identifies critical variables analyzed in the selected articles, sustainability strategies for competitiveness, strategies for sustainability, organizational aspects for sustainability and competitiveness, measurement of sustainability, models, moderating factors for sustainability and new future research directions.

This paper presents state of art about sustainability for competitiveness and identifying key themes and future research directions.

This chapter aims to identify differences in the perception of transformational leadership (TL) of three generations – Baby Boomers, Generation X, and Generation Y or Millennials – for an in-depth understanding of the immediate role and challenges facing leaders in organizations. Current days is an excellent time to question what is known and what should be known about leadership and leaders. Latin American leadership characteristics can have a direct effect on the success of business ventures in the region. Leadership can be understood in diverse ways: as an attribute of a position in the organization; as a trait, according to the characteristic of the person; as a behavior, according to the way in which the person acts (Mallma-Vivanco & Córdova-Marcelo, 2015). Several studies carried out in Mexico, Colombia, and Chile show that the Latin American leaders believe that having good working relationships with low conflict is essential to their satisfaction and high performance, and they are usually authoritarian and prefer aggressiveness and assertiveness (Romero, 2004). This study reviews the literature across different generations and related best organizational practices to identify key definitions and empirical results. We compared and contrasted the data from different generations. The findings show that Baby Boomers have a better perception of TL of their leaders than Millennials and even those from Generation X. Thus, the empirical results allow business leaders to understand the differences in perceptions and the unique characteristics of the three generations of workforce in organizations: Baby Boomers, Generation X, and Millennials.

The purpose of this article is to analyse the weaknesses of governance institutions in constraining grand corruption arising from the government procurement of large foreign-funded infrastructure projects in the Philippines. The weaknesses are revealed in the description and analysis of two major scandals, namely, the construction of the Bataan Nuclear Power Plant during the Marcos era and the National Broadband Network project of the Arroyo presidency.

This research employs a historical and comparative case approach to explore patterns of grand corruption and their resolution. Primary and secondary data sources including court decisions, congressional records, journal articles and newspaper reports are used to construct the narratives for each case.

Top-level executive agreements that do not require competitive public bidding provide an opportunity for grand corruption. Such agreements encourage the formation of corrupt rent-seeking relationships involving the selling firm, brokers, politicians and top-level government executives. Closure of cases of grand corruption is a serious problem that involves an incoherent and politically vulnerable prosecutorial and justice system.

This paper aims to contribute to research on grand corruption involving the executive branch in the Philippines, particularly in the procurement of large, foreign-funded government projects. It examines allegations of improprieties in government project contracting and the politics of resolving corruption scandals through the justice system.

Informed by multiple disciplines, theories, and methods, higher education scholars have developed a robust and diverse literature in many countries. Yet, some important (organizational) sociological perspectives, both more established and more recent, are insufficiently linked. In particular, we identify two theoretical strands – institutional and relational – that, when joined, help to explain contemporary developments in global higher education and yield new organizational insights. We review relevant literature from each perspective, both in their general formulations and with specific reference to contemporary higher education research. Within the broad institutional strand, we highlight strategic action fields, organizational actorhood, and associational memberships. Within the relational strand, we focus on ties and relationships that are especially crucial as science has entered an age of (inter)national research collaboration. Across these theories, we discuss linkages between concepts, objects, and levels of analysis. We explore the methodological approach of social network analysis as it offers great potential to connect these strands and, thus, to advance contemporary higher education research in a collaborative era.

This paper aims to study the influence of some company-specific characteristics, corporate governance factors and macroeconomic factors on the Portuguese companies’ performance.

To achieve this aim, the authors have used data from 39 Euronext Lisbon companies for the period between 2014 and 2019. The authors used panel data methodology, specifically the generalized method of moments estimation method by Arellano and Bover (1995) and Blundell and Bond (1998).

The results point out that the sign and significance of the determinants of corporate performance change depending on the variable used to measure performance. The Tobin’s Q variable, as a market variable and variable of interest to potential investors, is explained by some corporate governance variables and company-specific factors. Specifically, potential investors are confident in the leadership power of the chief executive office (CEO) and the members of the Board of Directors, which contributes positively to corporate performance. However, the firms’ age has a negative impact on Tobin’s Q. Considering an accounting variable managed internally by the organizations, the results show that return on assets is negatively influenced by leverage, and positively affected by CEO duality, which the manager believes is decisive to maintain performance levels.

To the best of the authors’ knowledge, this study is the first to analyze specific characteristics of companies and corporate governance factors, in a specific macroeconomic environment of high dependence on banking, considering the nonlinear effect of company age on company performance.