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To PLS or Not to PLS: That is the Question
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To PLS or Not to PLS: That is the Question (2013)To PLS or Not to PLS: That is the QuestionConsistent and asymptotically normal PLS estimators for linear structural equations (2014)Consistent and asymptotically…A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling (2013)A Critical Examination of Com…Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods (2012)Rethinking Partial Least Squa…Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012)Editor's comments: a critical…Does PLS have advantages for small sample size or non-normal data? (2012)Does PLS have advantages for …PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling (2011)Analysing quadratic effects o…A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling (2010)A Comparison of Approaches fo…PLS and Success Factor Studies in Marketing (2009)PLS and Success Factor Studie…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…The Effects of Chance Correlations on Partial Least Squares Path Modeling (2014)The Effects of Chance Correla…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial least squares structural equation modeling (PLS-SEM) (2014)When to use and how to report the results of PLS-SEM (2018)A Paradigm for Developing Better Measures of Marketing Constructs (1979)Structural Equations with Latent Variables. (1991)The partial least squares approach for structural equation modeling. (1998)On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014)Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research (2020)Improving PLS-SEM use for business marketing research (2023)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Modern Methods for Business Research (1998)\nThe use of partial least squares path modeling in international marketing (2009)Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context (2017)Leadership and innovation: The moderator role of organization support for innovative behaviors (2017)Innovative capacity, quality certification and performance in the hotel sector (2019)A power primer. (1992)Using PLS path modeling in new technology research: updated guidelines (2016)An updated and expanded assessment of PLS-SEM in information systems research (2017)Principles and Practice of Structural Equation Modeling (1998)Trust transfer in social media brand communities: The role of consumer engagement (2018)Dynamic capabilities and environmental accounting for the circular economy in businesses (2020)The superstar social media influencer: Exploiting linguistic style and emotional contagion over content? (2020)Use of partial least squares (PLS) in strategic management research: a review of four recent studies (1999)Supply chain capabilities, risks, and resilience (2016)Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling (2017)Transformational leadership and employee performance: The role of identification, engagement and proactive personality (2018)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)Partial Least Squares Structural Equation Modeling (2021)Coefficient Alpha and the Internal Structure of Tests (1951)LISREL 7 : user's reference guide (1989)The impact of increases in subsidiary autonomy and network relationships on performance (2012)The Mediating Role of Tourist Satisfaction: A Study of Muslim Tourists in Malaysia (2012)Islamic tourism: an empirical examination of travel motivation and satisfaction in Malaysia (2014)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)lavaan : An R Package for Structural Equation Modeling (2012)PLS-SEM: Looking Back and Moving Forward (2014)Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method (2019)PLS‐SEM : Prediction‐oriented solutions for HRD researchers (2021)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2014Consistent and asymptotically normal PLS estimators for linear structural equations1,208 cited
  • 2010A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling1,182 cited
  • 2012Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods880 cited
  • 2012Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly516 cited
  • 2013A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling436 cited
  • 2012Does PLS have advantages for small sample size or non-normal data?298 cited
  • 2009PLS and Success Factor Studies in Marketing185 cited
  • 2011Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling121 cited

Cited by

  • 2014The Effects of Chance Correlations on Partial Least Squares Path Modeling34 cited

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