scholarly journals Product Management Systems in Agricultural Brands: Case Study of Kagoshimakensan Kurobuta

2018 ◽  
Vol 54 (3) ◽  
pp. 96-102
Author(s):  
Kohei Yagi ◽  
Megumi Ohashi ◽  
Kikushima Ryosuke ◽  
Yoshihisa Naito
Author(s):  
Fernanda Lopes da Fonseca ◽  
Oscar José Rover ◽  
Lucia Helena de Oliveira Wadt ◽  
Cleisa Brasil da Cunha Cartaxo

Brazil nut tree (Bertholletia excelsa Bonpl) management, is a traditional activity that plays a key role in the economy of forestbased Amazon communities and in the conservation of forests. Nevertheless, some threats and critical points related to sustainability indicate to the need for establishment of monitoring procedures that can assist in the management of this natural resource. The overall aim of the research was to evaluate the MESMIS method as a tool to support the participatory definition of sustainability indicators to monitor Brazil nut management, and the viability of Brazil nut harvest over time. For that, we carried out a case study in the Porvir Community, RESEX Chico Mendes, Acre State (Brazil), aiming to integrate the perceptions of Brazil nut harvesters, researchers, managers, and technicians to define the indicators. The result was the generation of 18 strategic indicators to assess sustainability in the environmental, technical-economic and social dimensions. Assessment parameters, representing conditions that must be achieved for system sustainability, were collectively defined for each indicator. The main critical values attributed in the evaluation of the indicators are related to Brazil nut commercialization to intermediaries and oscillation in the annual fruit production. The use of the MESMIS method was considered appropriate to the studied context and can be recommended to similar non-timber forest product management systems.


2015 ◽  
Vol 34 (4) ◽  
pp. 380-405 ◽  
Author(s):  
Musingo T. E. Mbuvi ◽  
Josephine K. Musyoki ◽  
Paul O. Ongugo

2015 ◽  
Vol 43 (2) ◽  
pp. 104-109
Author(s):  
Ylva Gavel

Purpose – The purpose of this paper is to describe how systems automating the local document supply process (such as integrated library systems and ILL management systems) can be integrated with systems automating regional document requesting (interlending). This is illustrated with a case study of DocFlow, an ILL management system developed in-house at Karolinska Institutet and its integration with Libris, the national interlending system in Sweden. Design/methodology/approach – The present paper describes how system integration between Libris and DocFlow was accomplished in practice. It also discusses various aspects of integration between systems offering automation of document supply. Findings – Integration between local document supply workflows and regional document request flows may involve techniques such as import of outgoing and incoming interlending requests, synchronization of status values between systems, exchange of messages between systems and quick links to the native interfaces of external systems. Practical implications – The paper brings up various aspects to consider when developing or procuring a system for the local management of ILL workflows. Originality/value – The paper may provide a deeper understanding of system integration, as it applies to the document supply process.


2003 ◽  
Vol 1836 (1) ◽  
pp. 132-142 ◽  
Author(s):  
Brian L. Smith ◽  
William T. Scherer ◽  
James H. Conklin

Many states have implemented large-scale transportation management systems to improve mobility in urban areas. These systems are highly prone to missing and erroneous data, which results in drastically reduced data sets for analysis and real-time operations. Imputation is the practice of filling in missing data with estimated values. Currently, the transportation industry generally does not use imputation as a means for handling missing data. Other disciplines have recognized the importance of addressing missing data and, as a result, methods and software for imputing missing data are becoming widely available. The feasibility and applicability of imputing missing traffic data are addressed, and a preliminary analysis of several heuristic and statistical imputation techniques is performed. Preliminary results produced excellent performance in the case study and indicate that the statistical techniques are more accurate while maintaining the natural characteristics of the data.


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