Abstract
Over the last decade, Hair et al.’s Journal of Marketing Theory and Practice article “PLS-SEM: Indeed a Silver Bullet” has emerged as one of the most widely recognized and cited publications in the social science disciplines. This chapter is a reflection on the article’s impact on business research and other fields of science, as well as discussion on the characteristics that have contributed to its success.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that each article is usually assigned to multiple research areas.
- 2.
See the book’s webpage at http://www.springer.com/de/book/9783319165066
References
Ayeh, J. K., Au, N., & Law, R. (2013). “Do we believe in TripAdvisor?” Examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437–452.
Cao, D., Li, H., & Wang, G. (2014). Impacts of isomorphic pressures on BIM adoption in construction projects. Journal of Construction Engineering and Management, 140(12), 04014056.
Chen, W., Li, J., Zhu, H., Xu, P., Chen, J., & Yao, Q. (2017). Arbuscular mycorrhizal fungus enhances lateral root formation in Poncirus trifoliata (L.) as revealed by RNA-seq analysis. Frontiers in Plant Science, 8, 2039.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum.
Floros, G., Siomos, K., Stogiannidou, A., Giouzepas, I., & Garyfallos, G. (2014). Comorbidity of psychiatric disorders with internet addiction in a clinical sample: The effect of personality, defense style and psychopathology. Addictive Behaviors, 39(12), 1839–1845.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, forthcoming.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017a). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017b). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling method. Journal of the Academy of Marketing Science, 45(5), 616–632.
Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate data analysis (8th ed.). Boston, MA: Cengage.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about partial least squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182–209.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018). Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. Journal of International Marketing, 26(3), 1–21.
Jabbour, A. B. L. S., Jabbour, C. J. C., Latan, H., Teiceira, A. A., & Oliveira, J. H. C. (2014). Quality management, environmental management maturity, green supply chain practices and green performance of Brazilian companies with ISO 14001 certification: Direct and indirect effects. Transportation Research Part E, 67, 39–51.
Khan, G., Sarstedt, M., Shiau, W.-L., Hair, J. F., Ringle, C. M., & Fritze, M. (2019). Methodological research on partial least squares structural equation modeling (PLS-SEM): A social network analysis. Internet Research, forthcoming.
Khani, R., & Mirzaee, A. (2015). How do self-efficacy, contextual variables and stressors affect teacher burnout in an EFL context? Educational Psychology, 35(1), 93–109.
Li, E. Y., Liao, C. H., & Yen, H. R. (2013). Co-authorship networks and research impact: A social capital perspective. Research Policy, 42(9), 1515–1530.
Liu, J., Zhao, X., & Yan, P. (2016). Risk paths in international construction projects: Case study from Chinese contractors. Journal of Construction Engineering and Management, 142(6), 05016002.
Marcoulides, G. A., & Chin, W. W. (2013). You write but others read: Common methodological misunderstandings in PLS and related methods. In H. Abdi, W. W. Chin, V. Esposito Vinzi, G. Russolillo, & L. Trinchera (Eds.), New perspectives in partial least squares and related methods (pp. 31–64). New York, NY: Springer.
Marcoulides, G. A., & Saunders, C. (2006). PLS: A silver bullet? MIS Quarterly, 30(2), iii–iix.
McIntosh, C. N., Edwards, J. R., & Antonakis, J. (2015). Reflections on partial least squares path modeling. Organizational Research Methods, 17(2), 210–251.
Peppler-Lisbach, C., Beyer, L., Menke, N., & Mentges, A. (2015). Disentangling the drivers of understorey species richness in eutrophic forest patches. Journal of Vegetation Science, 26(3), 464–479.
Petter, S. (2018). Haters gonna hate: PLS and information systems research. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 49(2), 10–13.
Rodríguez-Entrena, M., Arriaza, M., & Gómez-Limón, J. A. (2014). Determining economic and social factors in the adoption of cover crops under mower control in olive groves. Agroecology and Sustainable Food Systems, 38(1), 69–91.
Rönkkö, M., & Evermann, J. (2013). A critical examination of common beliefs about partial least squares path modeling. Organizational Research Methods, 16(3), 425–448.
Rönkkö, M., McIntosh, C. N., & Antonakis, J. (2015). On the adoption of partial least squares in psychological research: Caveat emptor. Personality and Individual Differences, 87, 76–84.
Rönkkö, M., McIntosh, C. N., Antonakis, J., & Edwards, J. R. (2016). Partial least squares path modeling: Time for some serious second thoughts. Journal of Operations Management, 47–48(November), 9–27.
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010.
Sharma, P. N., Sarstedt, M., Shmueli, G., Kim, K. H., & Thiele, K. O. (2019a). PLS-based model selection: The role of alternative explanations in information systems research. Journal of the Association for Information Systems, forthcoming.
Sharma, P. N., Shmueli, G., Sarstedt, M., Danks, N., & Rays, S. (2019b). Prediction-oriented model selection in partial least squares path modeling. Decision Sciences, forthcoming.
Sirianni, J. M., & Vishwanath, A. (2016). Problematic online pornography use: A media attendance perspective. Journal of Sex Research, 53(1), 21–34.
Sosik, J. J., Kahai, S. S., & Piovoso, M. J. (2009). A primer for using partial least squares data analytic technique in group and organization research. Group & Organization Management, 34(1), 5–36.
Westland, J. C. (2015). Partial least squares path analysis. In Structural equation models: From paths to networks (pp. 23–46). Cham: Springer.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sarstedt, M. (2019). Der Knacks and a Silver Bullet. In: Babin, B.J., Sarstedt, M. (eds) The Great Facilitator. Springer, Cham. https://doi.org/10.1007/978-3-030-06031-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-06031-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-06030-5
Online ISBN: 978-3-030-06031-2
eBook Packages: Business and ManagementBusiness and Management (R0)