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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
This study synthesizes the expectancy disconfirmation theory with empirical theories pertaining to customer regret in an e-commerce environment. The study begins by examining the roles that information quality (IQ), system quality (SYQ), and service quality (SEQ) play in determining customer regret and satisfaction. Then the consequences of regret and satisfaction on reuse intention are examined. Survey data collected from 445 respondents are analyzed using structural equation modeling with partial least squares (PLS-Graph 3.0) to provide support for the hypothesized links. Results show that IQ disconfirmation, SYQ disconfirmation and SEQ disconfirmation are related to regret and satisfaction. Both regret and satisfaction are related to reuse intention. In addition, satisfaction mediates the effect of regret on reuse intention. Based on these results, implications for theory and practice are discussed.
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Source |
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http://dx.doi.org/10.1089/cyber.2009.0236 | DOI Listing |
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