Marko Sarstedt

220.8k citations
320 papers · 161.7k · 70 hit papers · h-index 96

Impact in

  • Marketing top 0.01%
    • Environmental Sustainability in Business
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Technology Adoption and User Behaviour

Papers in

Marko Sarstedt

300 papers receiving 156.0k citations

Marko Sarstedt's Hit Papers

Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial 2025 · 35 citations
350+1+3Years since publication250500750

Peers

Marko Sarstedt
Comparison fields: 5 of 226
  • Marketing 40.8k
  • Information Systems and Management 30.8k
  • Organizational Behavior and Human Resource Management 33.0k
  • Business and International Management 6.1k
  • Strategy and Management 30.6k
Replace Christian M. Ringle with:
Christian M. Ringle Germany
Joseph Hair Jr. United States
David F. Larcker United States
Claes Fornell United States
Philip M. Podsakoff United States
Richard P. Bagozzi United States
SCOTT B. MACKENZIE United States
Icek Ajzen United States
Nathan Philip Podsakoff United States
Jörg Henseler Netherlands
Marko Sarstedt relative to Christian M. Ringle Germany Christian M. Ringle's profile →
Citations per field
00.5×1.5×
Christian M. Ringle · 1×
Citations per year

Countries citing papers authored by Marko Sarstedt

Since Specialization
Citations

This map shows the geographic impact of Marko Sarstedt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marko Sarstedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Sarstedt more than expected).

Fields of papers citing papers by Marko Sarstedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko Sarstedt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marko Sarstedt. The network helps show where Marko Sarstedt may publish in the future.

Co-authors

The 25 scholars most cited alongside Marko Sarstedt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marko Sarstedt Line = papers co-authored together Marko Sarstedt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 320 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Hit paper breakdown →
201426012
2
When to use and how to report the results of PLS-SEM
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201817917
3
PLS-SEM: Indeed a Silver Bullet
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201116839
4
A primer on partial least squares structural equation modeling (PLS-SEM)
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201410317
5
Partial least squares structural equation modeling (PLS-SEM)
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20148675
6
An assessment of the use of partial least squares structural equation modeling in marketing research
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20116404
7
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
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20215352
8
Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance
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20134079
9
PLS-SEM or CB-SEM: updated guidelines on which method to use
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20172978
10
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
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20192879
11
Common Beliefs and Reality About PLS
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20142723
12
How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
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20192242
13
Testing measurement invariance of composites using partial least squares
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20162234
14
Partial Least Squares Structural Equation Modeling
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20172173
15
Advanced Issues in Partial Least Squares Structural Equation Modeling
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20172083
16
Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
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20172028
17
The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications
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20121833
18
Editor’s Comments
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20121813
19
Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers
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20141668
20
Estimation issues with PLS and CBSEM: Where the bias lies!
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20161455

About Marko Sarstedt

Marko Sarstedt is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Information Systems and Management, Management Science and Operations Research and Strategy and Management, having authored 320 papers that have together received 161.7k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (89 papers), Consumer Behavior in Brand Consumption and Identification (46 papers), Technology Adoption and User Behaviour (42 papers), Digital Marketing and Social Media (25 papers), Sensory Analysis and Statistical Methods (22 papers), Consumer Market Behavior and Pricing (17 papers), Advanced Text Analysis Techniques (17 papers) and Wine Industry and Tourism (16 papers). The work is most often cited by research in Marketing (40.8k citations), Information Systems and Management (30.8k citations), Organizational Behavior and Human Resource Management (33.0k citations), Business and International Management (6.1k citations) and Strategy and Management (30.6k citations). Marko Sarstedt has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Christian M. Ringle, Joseph Hair Jr., Jörg Henseler, G. Tomas M. Hult, Jeffrey J. Risher, Volker G. Kuppelwieser, Jun‐Hwa Cheah, Jeannette Alexandra Laverde Mena, Lucy M. Matthews and Siegfried Paul Gudergan. Their work appears in journals such as Journal of Business Research, The Journal of Marketing Theory and Practice, European Journal of Marketing, Journal of Marketing Analytics and Journal of the Association for Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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