World's Best Scientists 2026 revealed!
Award Badge
Business and Management
Germany
2026
Award Badge
Social Sciences and Humanities
Germany
2023

D-Index & Metrics

Business and Management

D-Index
96
Citations
183819
World Ranking
57
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Business and Management in Germany Leader Award
  • 2025 - Research.com Business and Management in Germany Leader Award
  • 2023 - Research.com Social Sciences and Humanities in Germany Leader Award
  • 2022 - Research.com Social Sciences and Humanities in Germany Leader Award

Overview

Marko Sarstedt is affiliated with Ludwig Maximilian University of Munich in Germany. Their research primarily spans the fields of Business, Management and Accounting, and Psychology. Within these broader areas, their work focuses on subfields such as Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science, Experimental and Cognitive Psychology, and Management Science and Operations Research.

The subjects studied by Sarstedt include a range of topics related to consumer and marketing behavior. Key topics include Consumer Behavior in Brand Consumption and Identification, Customer Service Quality and Loyalty, Consumer Retail Behavior Studies, Technology Adoption and User Behaviour, Digital Marketing and Social Media, Mental Health Research Topics, and Color Perception and Design.

Sarstedt has contributed to multiple publication venues, often collaborating with a consistent group of co-authors. Frequent publication venues include:

  • Psychology and Marketing
  • Journal of Business Research
  • Journal of Marketing Analytics
  • European Journal of Marketing
  • International Journal of Contemporary Hospitality Management

Among frequent co-authors are:

  • Christian M. Ringle
  • Susanne Adler
  • Monika Imschloß
  • Joseph F. Hair
  • Nicholas P. Danks

Recent papers authored or co-authored by Sarstedt demonstrate a focus on partial least squares structural equation modeling (PLS-SEM) and its applications in marketing research and other fields. Notable papers include:

  • "PLS-SEM's most wanted guidance" (2022), International Journal of Contemporary Hospitality Management
  • "Progress in partial least squares structural equation modeling use in marketing research in the last decade" (2022), Psychology and Marketing
  • "Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!" (2020), International Journal of Market Research
  • "Executing and interpreting applications of PLS-SEM: Updates for family business researchers" (2020), Journal of Family Business Strategy
  • "A perspective on using partial least squares structural equation modelling in data articles" (2023), Data in Brief

Sarstedt has authored several books, published primarily with Science meets practice and Springer International Publishing, addressing topics including multisensory design and PLS-SEM methodologies. Some of the book titles are:

  • Multisensorisches Design von Verkaufsumgebungen (2022, 2025)
  • Multisensory Design of Retail Environments (2023, 2024)
  • Skalierung von KI im Marketing und die neue Rolle des CMO (2022)
  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)
  • State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM) (2023)
  • Partial least squares Strukturgleichungsmodellierung (PLS-SEM): Eine anwendungsorientierte Einführung (2024)

Best Publications

  • A primer on partial least squares structural equation modeling (PLS-SEM)

    Joseph F. Hair;G. Tomas M. Hult;Christian M. Ringle;Marko Sarstedt

  • PLS-SEM: Indeed a Silver Bullet

    Joe F. Hair;Christian M. Ringle;Marko Sarstedt

  • When to use and how to report the results of PLS-SEM

    Joseph F. Hair;Jeffrey J. Risher;Marko Sarstedt;Christian M. Ringle

  • Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research

    Joseph F. Hair;Marko Sarstedt;Lucas Hopkins;Volker G. Kuppelwieser

  • An assessment of the use of partial least squares structural equation modeling in marketing research

    Joe F. Hair;Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Christian M. Ringle;Jeannette A. Mena

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook

    Joseph F. Hair Jr.;G. Tomas M. Hult;Christian M. Ringle;Marko Sarstedt

  • Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

    Joseph F. Hair;Christian M. Ringle;Marko Sarstedt

  • Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)

    Joerg Henseler;Joerg Henseler;Theo K. Dijkstra;Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Christian M. Ringle

  • Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

    Galit Shmueli;Marko Sarstedt;Joseph F. Hair;Jun-Hwa Cheah

  • The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications

    Joseph F. Hair;Marko Sarstedt;Torsten M. Pieper;Christian M. Ringle

  • Testing measurement invariance of composites using partial least squares

    Jörg Henseler;Christian M. Ringle;Marko Sarstedt

  • Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly

    Christian M. Ringle;Marko Sarstedt;Detmar W. Straub

  • How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM:

    Marko Sarstedt;Joseph F. Hair;Jun-Hwa Cheah;Jan-Michael Becker

  • Partial Least Squares Structural Equation Modeling

    Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Joseph F. Hair

  • Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods

    Joseph F. Hair;G. Tomas M. Hult;Christian M. Ringle;Christian M. Ringle;Marko Sarstedt;Marko Sarstedt

  • Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers

    Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Christian M. Ringle;Donna Smith;Russell Reams

  • Goodness-of-fit indices for partial least squares path modeling

    Jörg Henseler;Marko Sarstedt

  • Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective

    Adamantios Diamantopoulos;Marko Sarstedt;Marko Sarstedt;Christoph Fuchs;Petra Wilczynski

  • Estimation issues with PLS and CBSEM: Where the bias lies! ☆

    Marko Sarstedt;Marko Sarstedt;Joseph F. Hair;Christian M. Ringle;Christian M. Ringle;Kai O. Thiele

  • Partial least squares structural equation modeling in HRM research

    Christian M. Ringle;Marko Sarstedt;Rebecca Mitchell;Siegfried P. Gudergan

  • An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research

    Faizan Ali;S. Mostafa Rasoolimanesh;Marko Sarstedt;Christian M. Ringle

  • Gain more insight from your PLS-SEM results: The importance-performance map analysis

    Christian M. Ringle;Marko Sarstedt

  • A Primer on Partial Least Squares Structural Equation Modeling

    Marko Sarstedt;G. Tomas M. Hult;Christian M. Ringle;Joseph Hair

  • Rethinking some of the rethinking of partial least squares

    Joseph F. Hair;Marko Sarstedt;Christian M. Ringle

  • A critical look at the use of PLS-SEM in MIS Quarterly

    Christian M. Ringle;Marko Sarstedt;Detmar W. Straub

  • A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics

    Erik A. Mooi;Marko Sarstedt

  • A Concise Guide to Market Research

    Marko Sarstedt;Erik Mooi

  • Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

    Joseph F. Hair;Christian M. Ringle;Marko Sarstedt

Frequent Co-Authors

Christian M. Ringle
Christian M. Ringle Hamburg University of Technology
Joseph F. Hair
Joseph F. Hair University of South Alabama
Jörg Henseler
Jörg Henseler University of Twente
G. Tomas M. Hult
G. Tomas M. Hult Michigan State University
Adamantios Diamantopoulos
Adamantios Diamantopoulos University of Vienna
Siegfried P. Gudergan
Siegfried P. Gudergan University of Waikato
Detmar W. Straub
Detmar W. Straub Temple University
Charles R. Taylor
Charles R. Taylor Villanova University
Roger J. Calantone
Roger J. Calantone Michigan State University
Kevin H. Kim
Kevin H. Kim University of Pittsburgh

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring business and management can open doors to diverse career pathways. For those interested in specialized industries, earning a construction management degree online can lead to management positions in the growing construction sector.

If you already have business experience and want to move into leadership roles, an online executive mba can help accelerate your career. This flexible option is designed for professionals balancing work and study.

Cost is often a major factor when considering graduate education. Those seeking quality programs without breaking the bank can compare affordable graduate schools that offer a wide range of specializations.

Additionally, tech-focused careers are in high demand. Pursuing an online data science degree can provide valuable skills for roles in analysis, business intelligence, and more.

No matter your field, online degrees offer the flexibility to advance your education and career on your own schedule.

Best Scientists Citing Marko Sarstedt

Trending Scientists