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To Read or Not to Read: Modeling Online Newspaper Reading Satisfaction and Its Impact on Revisit Intention and Word-Of-Mouth
16 references·0 citing·41 second hop
To Read or Not to Read: Modeling Online Newspaper Reading Satisfaction and Its Impact on Revisit Intention and Word-Of-Mouth (2018)To Read or Not to Read: Modeling Online N…Social Media and Fake News in the 2016 Election (2017)Social Media and Fake News in…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value (2009)The impact of e-service quali…Estimating the Effect of Common Method VARIANCE: The Method–Method Pair Technique with an Illustration from TAM Research1 (2009)Estimating the Effect of Comm…Re-conceptualizing Information System Success: The IS-Impact Measurement Model (2008)Re-conceptualizing Informatio…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…How destination image and evaluative factors affect behavioral intentions? (2006)How destination image and eva…Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing (2005)Antecedents of Information an…A Theoretical Integration of User Satisfaction and Technology Acceptance (2005)A Theoretical Integration of …Information systems success revisited (2003)Information systems success r…Customer satisfaction and loyalty in online and offline environments (2003)Customer satisfaction and loy…The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach (2002)The Measurement of Web-Custom…Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis (2002)Assessing the Validity of IS …A Respecification and Extension of the DeLone and McLean Model of IS Success (1997)A Respecification and Extensi…Information Systems Success: The Quest for the Dependent Variable (1992)Information Systems Success: …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)A primer on partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. 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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2014Partial least squares structural equation modeling (PLS-SEM)11,717 cited
  • 1992Information Systems Success: The Quest for the Dependent Variable10,674 cited
  • 2017Social Media and Fake News in the 2016 Election6,737 cited
  • 2005A Theoretical Integration of User Satisfaction and Technology Acceptance2,834 cited
  • 2006How destination image and evaluative factors affect behavioral intentions?2,587 cited
  • 1997A Respecification and Extension of the DeLone and McLean Model of IS Success2,440 cited
  • 2002The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach1,986 cited
  • 2002Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis1,611 cited
  • 2003Customer satisfaction and loyalty in online and offline environments1,560 cited
  • 2005Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing998 cited
  • 2008Re-conceptualizing Information System Success: The IS-Impact Measurement Model739 cited
  • 2003Information systems success revisited611 cited

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  • 2009The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value545 cited
  • 2009Estimating the Effect of Common Method VARIANCE: The Method–Method Pair Technique with an Illustration from TAM Research1496 cited
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