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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 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.