Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Organizations heavily rely on information systems to improve their efficiency and effectiveness. However, on the one hand, information systems projects have often been seen as problematic endeavors. On the other hand, one can ask if this perspective results from subjective perceptions or objective assessments. We cannot find a definitive answer to this question in the literature. Moreover, there is no structured information about the models and methods currently available to assess projects' success in practice. This paper aims to present the results of a literature review carried out on the extant models and methods for evaluating the success of information systems projects. Additionally, it also offers models and methods from other areas that may be suitable for assessing IS projects. Results show that most models and methods found in the literature are, in their essence, theoretical exercises with only a few pieces of evidence of their use in practice, thus urging for more empirically based research.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720563 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2022.e11977 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!