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PLS-SEM bias: traditional vs consistent

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  • Oğuz Yıldız

    (Istanbul Gelisim University)

Abstract

Partial Least Squares (PLS) path modeling is suitable for predictive research and can also handle both reflective and formative measurement models. On the other hand, when the data derive from a common factor model population, PLS-SEM’s parameter estimates differ from the prespecified values. This trait is PLS-Structural Equation Modeling (SEM) bias, which is a controversial issue among many researchers. Bearing that in mind, the study's ultimate aim is to evaluate PLS-SEM bias at a relatively large sample size through regular and consistent PLS-SEM in the mobile shopping context. The subsidiary goal is to assess word-of-mouth concept, which is rarely used in the mobile context, within Technology Acceptance Model by employing PLS path modeling. Data were collected from 560 consumers via questionnaires and analyzed via SmartPLS 3. Findings show that regular PLS-SEM bias does not seem to diminish at a relatively large sample size when estimating data from common factor population. This study, also, offers to prefer PLSc in reflectively structured models in marketing, and also put forward that word-of-mouth is a substantial determinant in the acceptance of mobile shopping.

Suggested Citation

  • Oğuz Yıldız, 2023. "PLS-SEM bias: traditional vs consistent," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 537-552, December.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-021-01289-2
    DOI: 10.1007/s11135-021-01289-2
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    References listed on IDEAS

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    1. Lee, Lorraine & Petter, Stacie & Fayard, Dutch & Robinson, Shani, 2011. "On the use of partial least squares path modeling in accounting research," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 305-328.
    2. Ali, Murad & Seny Kan, Konan Anderson & Sarstedt, Marko, 2016. "Direct and configurational paths of absorptive capacity and organizational innovation to successful organizational performance," Journal of Business Research, Elsevier, vol. 69(11), pages 5317-5323.
    3. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    4. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    5. Morteza Hendijani Fard & Reza Marvi, 2019. "Viral marketing and purchase intentions of mobile applications users," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 15(2), pages 287-301, August.
    6. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    7. Kim, Byoungsoo, 2012. "The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents," Telecommunications Policy, Elsevier, vol. 36(1), pages 69-81.
    8. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    9. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    10. Rasoolimanesh, S. Mostafa & Ringle, Christian M. & Jaafar, Mastura & Ramayah, T., 2017. "Urban vs. rural destinations: Residents’ perceptions, community participation and support for tourism development," Tourism Management, Elsevier, vol. 60(C), pages 147-158.
    11. Lisa Y. Chen, 2013. "Antecedents of customer satisfaction and purchase intention with mobile shopping system use," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 15(3), pages 259-274.
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