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Marcelo Werneck Barbosa

Bio: Marcelo Werneck Barbosa is an academic researcher from Autonomous University of Chile. The author has contributed to research in topics: Supply chain & Business. The author has an hindex of 6, co-authored 34 publications receiving 181 citations. Previous affiliations of Marcelo Werneck Barbosa include Universidade Federal de Minas Gerais & Pontifícia Universidade Católica de Minas Gerais.

Papers
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Journal ArticleDOI
TL;DR: In this paper, big data analytics (BDA) has the potential to improve demand forecasting, communications and better manage supply chain resources, despite the recognized benefits and the increase of BDA research.
Abstract: Big Data Analytics (BDA) has the potential to improve demand forecasting, communications and better manage supply chain resources. Despite such recognised benefits and the increase of BDA research,...

87 citations

Journal ArticleDOI
TL;DR: In this paper, the authors carried out a bibliometric analysis to critically review the evolution of the agri-food supply chain (AFSC) research field over the period of 2008-2019.

44 citations

Journal ArticleDOI
01 Jan 2004
TL;DR: An extensive performance evaluation of alternative algorithms for content location and retrieval in P2P systems, in particular, the Freenet and Gnutella systems is provided and two new community-based algorithms which also explore locality of interest among peers to efficiently allow content location are compared.
Abstract: Peer-to-peer, or simply P2P, systems have recently emerged as a popular paradigm for building distributed applications. One key aspect of the P2P system design is the mechanism used for content location. A number of different approaches are currently in use. In particular, the location algorithm used in Gnutella, a popular and extensively analyzed P2P file sharing application, is based on flooding of messages in the network, which results in significant processing overhead on the participant nodes and thus, poor performance.In this paper, we provide an extensive performance evaluation of alternative algorithms for content location and retrieval in P2P systems, in particular, the Freenet and Gnutella systems. We compare the original Freenet and Gnutella algorithms, a previously proposed interest-based algorithm and two new algorithms which also explore locality of interest among peers to efficiently allow content location. Unlike previous proposals, the new algorithms organize the peers into communities that share interests. Two peers are said to have common interest if they share some of the locally stored files.In order to evaluate the performance of these algorithms, we use a previously developed Freenet simulator and build a new Gnutella simulator, which includes several realistic system characteristics. We show that the new community-based algorithms improve the original Gnutella content location latency (and thus the system QoS) and system load by up to 31% and 30%, respectively. Our algorithms also reduce the average Freenet request and response path lengths by up to 39% and 31%, respectively. Furthermore, we show that, compared to the previously proposed interest-based algorithm, our new algorithms improve query latency by up to 27% without a significant increase in the load.

31 citations

Journal ArticleDOI
TL;DR: It is found out that these interaction networks are sparse, which shows that students could be more engaged in interacting and collaborating with others in ODFs.
Abstract: Distance Education professionals have been constantly coming up with methods and techniques to increase student participation in an environment where learning happens continuously and asynchronously. An online discussion forum (ODF) is one of these mechanisms, but it will only be successful if students are willing to participate. Stimulating students is a challenge many institutions currently face. The objective of this study was to analyze the social interaction among participants in ODFs using Social Network Analysis. Knowing the characteristics of these networks and its participants is important to design actions to improve the use of ODFs. As a case study, data were collected from ODF logs of the majors in Business Administration and Accounting in a Brazilian private university. This study found out that these interaction networks are sparse, which shows that students could be more engaged in interacting and collaborating with others. Students, in general, tend to interact more in the first semester and interaction diminishes as time passes. The number of active ODF participants has been around 45–50%, which shows that students currently do not participate very often in ODFs. Their main incentive seems to exist when they are graded. Popular ODFs were also analyzed.

22 citations

Journal ArticleDOI
TL;DR: It is found that the Portfolio Game Experience provided the students the practical experience of actively learning what they have seen in theory, and when compared to other courses they have taken so far, students evaluate this experience as superior.

21 citations


Cited by
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01 Jan 1995
TL;DR: In this paper, the authors propose a method to improve the quality of the data collected by the data collection system. But it is difficult to implement and time consuming and computationally expensive.
Abstract: 本文对国际科学计量学杂志《Scientometrics》1979-1991年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析,揭示出科学计量学研究的重点、活动的中心及发展趋势,说明了学科带头人在发展科学计量学这门新兴学科中的作用。

1,636 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed an application framework for the practitioners involved in the agri-food supply chain that identifies the supply chain visibility and supply chain resources as the main driving force for developing data analytics capability and achieving the sustainable performance.

394 citations

Journal ArticleDOI
TL;DR: This paper investigates the existing literature pertaining to prescriptive analytics and prominent methods for its implementation, provides clarity on the research field of prescriptives, synthesizes the literature review in order to identify the existing research challenges, and outlines directions for future research.

232 citations

Journal ArticleDOI
TL;DR: The findings suggest that the PMMs applicable to BDDSC can be classified into two non-mutually exclusive categories, which will guide the managers to have a robust performance measurement system in their organisation.
Abstract: Performance measures and metrics (PMM) is identified to be an essential aspect of managing diverse supply chains. The PMM improves the firm’s performance by providing open and transparent communica...

127 citations

Journal ArticleDOI
TL;DR: A structured review of academic literature that addresses BDA methods in SCM using the supply chain operations reference (SCOR) model is presented to provide a taxonomy framework resulting in a nomenclature grids and a SCOR-BDA matrix.
Abstract: When supply chain management (SCM) intersects with Big Data Analytics (BDA), uncountable opportunities for research emerge Unfortunately, how analytics can be applied to supply chain processes is

87 citations