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The purpose of the study is to investigate micro determinants for dynamic wine pricing in Argentina. We test whether attributes and time affect the price rate of change. The rate of change is selected given the inflationary context of the country. The analysis provides valuable information for wine marketing decisions.

The modeling approach relies on panel data analysis for exploiting the data cross-section and time dimension. The contribution explores a massive price dataset at a weekly frequency. The dependent variable is the weekly price variation rate for product/wine and covariates are attributes, time and nominal variables. Given that endogeneity issues arose, the estimations rely on a two-stage least squares and instrumental variables with cluster-robust errors.

Estimations show that attributes, time and cost variables are statistically significant, with clear seasonal patterns and quality segmentation affecting pricing: wines made out of specific grapes such as Chenin, Merlot and Seedling or composing a broad category such as red wine, exhibit price undershooting (price rate of change below average). On the other hand, wines out of grapes such as Bonarda, Margaux, Mistela, Moscatel, Oporto, Tannat and Sauvignon Blanc show price overshooting (rate of change above average). In summary, wine made from determined grapes and specific wineries show divergent pricing.

Covariates such as alcohol content, label descriptor information, winery history, substitute competition and vintage, among others, have not been considered given that the research analyzes more than 750 wine products. Another limitation is that the work does not explore many time-series covariates, such as promotions and idiosyncratic shocks.

The contribution presents new information on wine pricing patterns affected by weeks, months and years, including the effect of the prolonged 2020 Argentine lockdown. It also analyzes estimations on pricing at the level of grape/blend and wineries previously unknown in this market. The information can influence inventory decisions on the side of the sellers and purchase decisions on the side of consumers.

The analysis includes fine but also low-cost wines that form part of the diet of low-income families in the country. The work detects a divergent pattern in pricing divided by the quality/price of the wine. It also presents information on price timing that may help consumers in the best moment to buy.

The contribution analyzes unprecedented information on weekly wine prices and presents evidence of pricing tactics from a point-of-sale perspective: It identifies different adjustment speeds related to product features and time effects.

This paper aims to provide information about the structure of collaborative work among Argentinian economics. The study provides specific applied research of social network analysis focus on this profession in this specific country.

The contribution opted for applying social network analysis tools to papers presented in a congress and published in its proceedings. The authors focus in detecting main actors, groups of co-authorship, professionals acting as bridges between groups and differences between genders.

The paper provides empirical insights about how co-authorship has evolved between Argentine economists. The authors find that structural properties of the network, main actors, both male and female, main universities or center that affiliates them, a gender gap that might be closing out.

The paper focuses on the network for the period 1964-2014 without a more detailed dynamic. It also does not explain main topics worked by the authors.

The work provides knowledge about how groups are created in Economics in Argentina, how cooperation has evolved and what has been the role of women in this development. It also shows how different departments and entities collaborate with diverse success in the creation of new knowledge in Economics in Argentina.

The paper works with data from a source of information non-previously studied and contributes in explaining a particular type of collaborative work in a profession in Argentina.

The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics.

A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model.

The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods.

This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

This paper presents the findings of a project that aims to analyze the ethical treatment of the news, with special attention to the reporting of violent events, as it is carried out by digital news outlets from the State of Chihuahua (Mexico).

A media observatory was established to collect and analyze the 9,115 news reports of violent events from February to June 2019 and was published by 12 digital news outlets in Chihuahua. Quantitative data analysis was carried out using three analytical axes – ethics, human rights and violence. Each axis was, in turn, subdivided into three criteria, and this paper identifies how compliant were each news outlet and individual news report with those criteria.

Data analysis established that 5,385 of the news reports (59.1 per cent of the total news analyzed) met all the nine desirable criteria, whereas other subsets did not comply with up to a minimum five criteria. How the observed news outlets and their reports complied with the criteria used is specified in this paper.

The methodology used and the data analyzed seek to develop ethical and socially responsible journalism. Hence, this paper offers various possibilities, such as raising new questions related to journalistic deontology, helps engage responsible journalists and also represents an area of opportunity for library and information professionals who are immersed in digital environments (e.g. digital libraries and library professionals that are the ideal professionals to store, manage and disseminate the records produced by media observatories). Moreover, the data analyzed help to set a maximum limit for the non-compliance with each of the criteria analyzed, which can even lead to the development of an ethical and social responsibility accreditation that can be granted to news outlets with the best practices for journalism.

The current world is characterized by VUCAT (Volatility, Uncertainty, Complexity, Ambiguity, and Technology). These elements provoke in workers a need for leadership that must be addressed continuously (Deepika & Chitranshi, 2021). Companies must dedicate efforts to leading their employees in a homogeneous way for team integration (Contreras et al., 2020; Sandeep & Latasri, 2021). It should be noted that remote work is a permanent feature for more organizations. Despite the difficulties that workers at all levels have had to adapt to remote work, an adaptation has been achieved in general terms based on communication technology. However, in many cases, it has altered the traditional performance of resources in companies, which makes the leading global and local institutions design new rules in favor of the health of workers and, at the same time, contribute to their better performance. For that, managers in the areas of Human Resources, Finance, and Information Technology (IT) must be able to propose strategies to take care of the human capital of companies in all their departments. For the process to work efficiently, leadership is necessary. The transition of workers from the Asia Pacific region to teleworking, the influence of leadership, and the impact on job satisfaction, which is a measure that shows the optimal management of this new way of working in companies, are described. The organizational models related to business management, the barriers in the first steps of teleworking, the strategies used, the legislation created, and the results achieved by the company are described.

In recent years, author and document citation and co-citation analyses have often been applied to map the “intellectual structure” of different scientific fields, including management and international business. However, the technique of bibliographic coupling between scientific documents, which seeks to identify active research fronts in a scientific field or discipline, has been less commonly used. This study utilized this technique to identify and visualize the research fronts in the context of papers on emerging markets multinational enterprises (EM-MNEs) recently published in a wide variety of journals. The aim is not only to complement and expand the results obtained in prior studies that have used other types of systematization, such as qualitative content analysis methodology but also to propose avenues for future research.

The primary databases utilized to carry out the present research work – both comprised in the Web of Science™ (WoS) Core Collection – were: the Social Sciences Citation Index® (SCI) developed by the Institute for Scientific Information (ISI) and the Emerging Sources Citation Index. A total of 496 “peer-reviewed journal articles” published between 2014 and December 30, 2019 were retrieved. With regards to the methodology, bibliometric methods were utilized, as well as social network analysis (SNA).

Particularly, the analytical techniques employed – adopting a “quantitative” method of a deductive character – allowed the identification of the most active research “fronts” in international research related to the topic under analysis: the phenomenon of EM-MNEs.

The present study has several limitations resulting from the utilization of bibliometric methods applied in the analyses performed.

The authors believe that this research is of value for future researchers since it allows the identification of research “fronts,” which shape the vanguard of knowledge and reveal current trends and future directions in the area under examination.

The purpose of this paper is to analyze the circumstances that have conditioned the development of education in Spain from the enlightenment to the present day.

Multidisciplinary scientific approach that combines the interpretation of the legal texts with the revision of the doctrinal and theoretical contributions made on the issue.

From the beginning of the nineteenth century, the history of education in Spain has been marked by constant fluctuations between the reactionary instincts, principally maintained by the Catholic Church and the conservative social classes, and the progressive experiments, driven by the enlightened and the liberals first, and the republicans and the socialists later. As a consequence of that, the fight for finishing with illiteracy and guaranteeing universal schooling underwent permanent advances and retreats, preventing from an effective modernization of the Spanish educative system. On the one hand, renewal projects promoted by teachers and pedagogues were inevitably criticized by the ecclesiastical hierarchy, obsessed with the idea of preserving the influence of religion on the schools. On the other hand, successive governments were weak in implementing an educational policy which could place Spain at the level of the other European and occidental nations.

At the dawn of the twenty-first century, although the country has overcome a good part of its centuries-old backwardness, increasing economic difficulties and old ideological splits keep hampering the quality of teaching, gripped by neoliberal policies which undermine the right to education for all. The reading of this paper offers various historical clues to understand this process.

The purpose of this study is to examine Airbnb research using bibliometric methods. Using research performance analysis, this study highlights and provides an updated overview of Airbnb research by revealing patterns in journals, papers and most influential authors and countries. Furthermore, it graphically illustrates how research themes have evolved by mapping a co-word analysis and points out potential trends for future research.

The methodological design for this study involves three phases: the document source selection, the definition of the variables to be analyzed and the bibliometric analysis. A statistical multivariate analysis of all the documents’ characteristics was performed with R software. Furthermore, natural language processing techniques were used to analyze all the abstracts and keywords specified in the 129 selected documents.

Results show the genesis and evolution of publications on Airbnb research, scatter of journals and journals’ characteristics, author and productivity characteristics, geographical distribution of the research and content analysis using keywords.

Despite Airbnb having a history of 10 years, research publications only started in 2015. Therefore, the bibliometric study includes papers from 2015 to 2019. One of the main limitations is that papers were selected in October of 2019, before the year was over. However, the latest academic publications (in press and earlycite) were included in the analysis.

This study analyzed bibliometric set of laws (Price’s, Lotka’s and Bradford’s) to better understand the patterns of the most relevant scientific production regarding Airbnb in tourism and hospitality journals. Using natural language processing techniques, this study analyzes all the abstracts and keywords specified in the selected documents. Results show the evolution of research topics in four periods: 2015-2016, 2017, 2018 and 2019.

This paper aims to address research gaps with regard to the relationship between market orientation and marketing performance when small- and medium-sized enterprises (SMEs) are located within a service cluster. The three main objectives of this research are to determine the effect that the cluster can have on both the market orientation of clustered companies and their marketing performance and to furthermore evaluate the effect of the market orientation of companies in the cluster on their marketing performance.

This research used executive-level data that were obtained by carrying out a survey involving a unique dataset of 133 Colombian health-related businesses located in the city of Cali (Colombia) in 2014. A system of equations was modeled using SMART PLS. This analysis was complemented by a qualitative study that involved conducting in-depth interviews in six companies.

The results showed that, among the SMEs, membership in an urban services cluster did not significantly influence marketing performance or the implementation of marketing orientation practices. No differences were observed in internal managerial practices implemented between companies that were co-located and isolated. However, a higher level of competitor orientation was associated with greater marketing performance. Given the verified absence of moderating and mediating effects, our work provides a reasonable basis for proposing future research and practical recommendations.

While research has demonstrated the relationship between a company's market orientation and marketing performance, this type of analysis has not been carried out on service SMEs in geographic concentrations or clusters.

本文旨在處理涉及市場導向與營銷績效間的關係的研究缺口. 當中小型企業處於服務群集內, 市場導向與其營銷績效間存在相互關係；本文旨在處理涉及這關係的研究缺口. 本研究有以下的主要目標：（1）找出群集對群集公司的市場導向及其營銷績效兩者的影響；（2）繼而評估在群集內公司的市場導向對其營銷績效的影響.

本研究使用透過進行一項調查而取得的管理階層數據，而這調查涉及於2014年位於卡利市（哥倫比亞）133間與健康衛生有關的哥倫比亞企業的獨特資料集。一個方程式體系透過使用SmartPLS被模擬出來. 這分析有個補充輔助，就是一個涉及在六間公司內進行的深層訪談的質性研究.

研究結果顯示，就有關的中小型企業而言，擁有城市服務群集身份並沒顯著地影響營銷績效或市場導向慣常做法的施行。對處於同一地點的公司，抑或是隔離的公司，其內部施行的管理慣常做法並沒觀察到有所不同。但是，高水平的競爭者導向與更佳的營銷績效兩者是相關的。考慮到調節及仲介效果被證實不存在，我們的研究為日後研究及實際建議的提出提供合理的基礎.

從前的研究證實了公司的市場導向與營銷績效是相關的，唯這類研究分析從來沒有在地理集中或群集內的服務中小型企業上進行過.