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Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM)

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  • Marko Sarstedt

    (Ludwig-Maximilians-University Munich
    Babeș-Bolyai University)

  • Yide Liu

    (Macau University of Science and Technology)

Abstract

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Suggested Citation

  • Marko Sarstedt & Yide Liu, 2024. "Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM)," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 1-5, March.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:1:d:10.1057_s41270-023-00279-7
    DOI: 10.1057/s41270-023-00279-7
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    References listed on IDEAS

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    1. Edward E. Rigdon & Marko Sarstedt & Jan-Michael Becker, 2020. "Quantify uncertainty in behavioral research," Nature Human Behaviour, Nature, vol. 4(4), pages 329-331, April.
    2. Basco, Rodrigo & Hair, Joseph F. & Ringle, Christian M. & Sarstedt, Marko, 2022. "Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression," Journal of Family Business Strategy, Elsevier, vol. 13(3).
    3. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    4. Simona Sternad Zabukovšek & Samo Bobek & Uroš Zabukovšek & Zoran Kalinić & Polona Tominc, 2022. "Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)," Mathematics, MDPI, vol. 10(9), pages 1-28, April.
    5. Jan Dul & Sven Hauff & Ricarda B. Bouncken, 2023. "Necessary condition analysis (NCA): review of research topics and guidelines for good practice," Review of Managerial Science, Springer, vol. 17(2), pages 683-714, February.
    6. Dul, Jan, 2016. "Identifying single necessary conditions with NCA and fsQCA," Journal of Business Research, Elsevier, vol. 69(4), pages 1516-1523.
    7. Nicole F. Richter & Sven Hauff & Christian M. Ringle & Siegfried P. Gudergan, 2022. "The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research," Management International Review, Springer, vol. 62(4), pages 449-470, August.
    8. Svenja Damberg & Manfred Schwaiger & Christian M. Ringle, 2022. "What’s important for relationship management? The mediating roles of relational trust and satisfaction for loyalty of cooperative banks’ customers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 3-18, March.
    9. Jan Dul & Sven Hauff & Ricarda B. Bouncken, 2023. "Correction: Necessary condition analysis (NCA): review of research topics and guidelines for good practice," Review of Managerial Science, Springer, vol. 17(4), pages 1535-1537, May.
    10. João Coelho Soares & Ricardo Limongi & João Henriques De Sousa Júnior & Weverson Soares Santos & Michele Raasch & Lenoir Hoeckesfeld, 2023. "Assessing the effects of COVID-19-related risk on online shopping behavior," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 82-94, March.
    11. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    12. Marko Sarstedt & Jun-Hwa Cheah, 2019. "Partial least squares structural equation modeling using SmartPLS: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 196-202, September.
    13. Cátia Fernandes Crespo & Alcina Gaspar Ferreira & Ricardo Moita Cardoso, 2023. "The influence of storytelling on the consumer–brand relationship experience," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 41-56, March.
    14. Jan-Michael Becker & Dorian Proksch & Christian M. Ringle, 2022. "Revisiting Gaussian copulas to handle endogenous regressors," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 46-66, January.
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