<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-22T19:35:59Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/10021" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/10021</identifier><datestamp>2025-01-24T01:05:38Z</datestamp><setSpec>com_10259_4386</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_4387</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
<leader>00925njm 22002777a 4500</leader>
<datafield tag="042" ind1=" " ind2=" ">
<subfield code="a">dc</subfield>
</datafield>
<datafield tag="720" ind1=" " ind2=" ">
<subfield code="a">Puche Regaliza, Julio César</subfield>
<subfield code="e">author</subfield>
</datafield>
<datafield tag="720" ind1=" " ind2=" ">
<subfield code="a">Jiménez Palmero, Alfredo</subfield>
<subfield code="e">author</subfield>
</datafield>
<datafield tag="720" ind1=" " ind2=" ">
<subfield code="a">Arranz Val, Pablo</subfield>
<subfield code="e">author</subfield>
</datafield>
<datafield tag="260" ind1=" " ind2=" ">
<subfield code="c">2017-09</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">Purpose – The purpose of this paper is to identify the principal success factors of a software project&#xd;
structured upon the basis of the viable system model (VSM).&#xd;
Design/methodology/approach – To do so, an exploratory empirical analysis is conducted of a set of&#xd;
software projects, in which the degree of compliance with the requirements set down by the VSM and the&#xd;
success rating of their development are identified.&#xd;
Findings – The results of the study indicate that the most influential factors in achieving global viability in a&#xd;
software project are the local environment, the organizational units and the intelligent system. Building on those&#xd;
factors, a mathematical prediction model is developed, reaching an accuracy of 63.16 percent in its predictions.&#xd;
Research limitations/implications – The authors wish to point out that due to the number of projects&#xd;
employed in the statistical analysis, the results have to be interpreted with caution and are of an&#xd;
exploratory nature.&#xd;
Practical implications – The authors seek to show that the VSM is an extremely useful tool for the&#xd;
management of software projects and, by extension, projects of a general nature. The authors therefore&#xd;
suggest that knowledge of VSM would be of incalculable value for managers wishing to manage projects&#xd;
successfully and to survive in such a complex and rapidly changing environment as the software project&#xd;
environment is. Its application allows us to diagnose and to detect the critical factors to achieve such success.&#xd;
Social implications – In addition, the research seeks to increase the universality of VSM, contributing to a&#xd;
better understanding of it and a better and greater formalization of it in favor of its acceptance and its&#xd;
practical use, seeking in this way to palliate some critical principals related to its abstraction and limited&#xd;
applicability and to increase its rigor and validity as an instrument for the diagnosis and the design of viable&#xd;
organizations.&#xd;
Originality/value – The novelty of this study is therefore principally found in the application of the VSM to&#xd;
the organizational structure of a software project in such a way that it allows us to detect key factors in its&#xd;
success. Besides, building on the validation of this proposal through the completion of a quantitative&#xd;
empirical analysis, this study also offers a prediction mathematical model that relates key factors with the&#xd;
success of the project.</subfield>
</datafield>
<datafield tag="024" ind2=" " ind1="8">
<subfield code="a">1753-8378</subfield>
</datafield>
<datafield tag="024" ind2=" " ind1="8">
<subfield code="a">http://hdl.handle.net/10259/10021</subfield>
</datafield>
<datafield tag="024" ind2=" " ind1="8">
<subfield code="a">10.1108/IJMPB-08-2016-0068</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Cybernetics</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Software project</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Viable system model</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Organizational cybernetics</subfield>
</datafield>
<datafield tag="245" ind1="0" ind2="0">
<subfield code="a">Viable system model structuring of success factors in software projects</subfield>
</datafield>
</record></metadata></record></GetRecord></OAI-PMH>