Marko Sarstedt
German marketing academic
Marko Sarstedt's AcademicInfluence.com Rankings
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Marko Sarstedt's Degrees
- PhD Marketing University of Hamburg
- Masters Business Administration University of Hamburg
- Bachelors Business Administration University of Hamburg
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Why Is Marko Sarstedt Influential?
(Suggest an Edit or Addition)According to Wikipedia, Marko Sarstedt is a German academic and a marketing researcher. He is a Full Professor at the Ludwig Maximilian University of Munich and Adjunct Research Professor at Babeș-Bolyai-University. Sarstedt is the recipient of five Emerald Citations of Excellence awards and three Emerald Literati Outstanding Paper awards for his papers. He is a member of the Clarivate Analytics’ Highly Cited Researcher List. In 2019, he was listed among the most cited researchers across all scientific disciplines and is ranked by The Frankfurter Allgemeine Zeitung as the second most influential business researcher in Germany in the research category. Sarstedt is the three-time recipient of the William R. Darden Award of the Academy of Marketing Science. He serves as Area Editor of Behaviormetrika and of Journal of Business Economics. He is the most cited author of some business journals such as Long Range Planning, Journal of the Academy of Marketing Science, European Business Review, Journal of Marketing Theory and Practice.
Marko Sarstedt's Published Works
Published Works
- A primer on partial least squares structural equation modeling (PLS-SEM) (2013) (14823)
- A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015) (12306)
- PLS-SEM: Indeed a Silver Bullet (2011) (12298)
- An assessment of the use of partial least squares structural equation modeling in marketing research (2012) (5493)
- When to use and how to report the results of PLS-SEM (2019) (4940)
- Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research (2014) (3814)
- Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance (2013) (2916)
- Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012) (2051)
- Common Beliefs and Reality About PLS (2014) (1831)
- The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications (2012) (1548)
- Partial Least Squares Structural Equation Modeling (2021) (1518)
- Advanced Issues in Partial Least Squares Structural Equation Modeling (2017) (1374)
- Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014) (1120)
- PLS-SEM or CB-SEM: updated guidelines on which method to use (2017) (1105)
- Testing measurement invariance of composites using partial least squares (2016) (1101)
- Goodness-of-fit indices for partial least squares path modeling (2013) (1088)
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017) (1045)
- A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (2011) (959)
- Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective (2012) (955)
- Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016) (949)
- Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results (2011) (850)
- A Concise Guide to Market Research (2019) (848)
- Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019) (798)
- How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019) (761)
- An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research (2017) (749)
- Partial least squares structural equation modeling in HRM research (2020) (645)
- Gain more insight from your PLS-SEM results: The importance-performance map analysis (2016) (568)
- Rethinking some of the rethinking of partial least squares (2019) (510)
- Partial Least Squares: The Better Approach to Structural Equation Modeling? (2012) (486)
- Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook (2021) (480)
- Heuristics versus statistics in discriminant validity testing: a comparison of four procedures (2019) (470)
- On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014) (446)
- Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method (2016) (431)
- On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017) (370)
- Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018) (336)
- Structural model robustness checks in PLS-SEM (2020) (295)
- Partial least squares structural equation modeling using SmartPLS: a software review (2019) (271)
- Using Partial Least Squares Path Modeling in Advertising Research: Basic Concepts and Recent Issues (2012) (258)
- Common Beliefs and Reality About Partial Least Squares: Comments on Rönkkö & Evermann (2013) (2014) (241)
- PLS-SEM: Looking Back and Moving Forward (2014) (236)
- Management of multi-purpose stadiums: importance and performance measurement of service interfaces (2010) (224)
- Structural modeling of heterogeneous data with partial least squares (2010) (216)
- Individual Psychological Ownership: Concepts, Evidence, and Implications for Research in Marketing (2015) (216)
- Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies (2010) (211)
- Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities (2013) (207)
- Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! (2020) (207)
- Methodological research on partial least squares structural equation modeling (PLS-SEM) (2019) (203)
- Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? (2011) (201)
- Using partial least squares path modeling in international advertising research: basic concepts and recent issues (2012) (193)
- Common Beliefs and Reality About PLS: Comments on Ro¨nkko¨ and Evermann (2013) (2014) (191)
- Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data (2010) (191)
- Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición) (2019) (185)
- How collinearity affects mixture regression results (2015) (179)
- A CRITICAL LOOK AT THE USE OF PLS-SEM IN MISQ (2012) (172)
- Direct and configurational paths of absorptive capacity and organizational innovation to successful organizational performance (2016) (159)
- Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams (2013) (158)
- Convergent validity assessment of formatively measured constructs in PLS-SEM (2018) (157)
- The use of sampling methods in advertising research: a gap between theory and practice (2018) (153)
- Internet research using partial least squares structural equation modeling (PLS-SEM) (2019) (151)
- A review of recent approaches for capturing heterogeneity in partial least squares path modelling (2008) (149)
- Framing the triple bottom line approach: Direct and mediation effects between economic, social and environmental elements (2018) (138)
- Customer Satisfaction with Commercial Airlines: The Role of Perceived Safety and Purpose of Travel (2011) (125)
- Prediction-Oriented Model Selection in Partial Least Squares Path Modeling (2018) (119)
- Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: A composite model approach (2016) (114)
- ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT (2018) (109)
- Common Beliefs and Reality about Partial Least Squares : Comments on Rönkkö and Evermann (2016) (108)
- Developing a measurement approach for reputation of non-profit organizations (2010) (107)
- The relevance of reputation in the nonprofit sector: the moderating effect of socio-demographic characteristics (2014) (107)
- Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method (2019) (106)
- Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach (2017) (104)
- On the value relevance of customer satisfaction. Multiple drivers and multiple markets (2012) (104)
- Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II – A case study (2016) (98)
- Genetic algorithm segmentation in partial least squares structural equation modeling (2014) (98)
- A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA (2019) (94)
- Executing and interpreting applications of PLS-SEM: Updates for family business researchers (2020) (93)
- When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA (2020) (92)
- PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research (2019) (90)
- Progress in partial least squares structural equation modeling use in marketing research in the last decade (2022) (89)
- PLS path modeling and evolutionary segmentation (2013) (89)
- Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and within Industry Differences (2011) (87)
- Segmentation of PLS path models by iterative reweighted regressions (2015) (86)
- Corrigendum to “Editorial Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance” [LRP 46/1-2 (2013) 1–12] (2014) (76)
- Influence of Community Design on User Behaviors in Online Communities (2014) (74)
- Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity (2009) (72)
- Cutoff criteria for overall model fit indexes in generalized structured component analysis (2020) (69)
- Selecting single items to measure doubly concrete constructs: A cautionary tale (2016) (63)
- The Use of Partial Least Squares (PLS) to Address Marketing Management Topics (2011) (62)
- Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing (2021) (59)
- Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement (2019) (59)
- Editorial - Partial Least Squares: The Better Approach to Structural Equation Modeling? (2012) (58)
- Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling (2020) (57)
- Market Research: The Process, Data, and Methods Using Stata (2017) (52)
- The combined use of symmetric and asymmetric approaches: partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis (2021) (52)
- Method trends and method needs: Examining methods needed for accelerating the field (2014) (51)
- Explanation Plus Prediction—The Logical Focus of Project Management Research (2021) (51)
- Applications of Partial Least Squares Path Modeling in Management Journals: A Review of Past Practices and Recommendations for Future Applications (2012) (50)
- Art for the Sake of the Corporation (2010) (48)
- Market segmentation with mixture regression models: Understanding measures that guide model selection (2008) (47)
- Applying the future time perspective scale to advertising research (2014) (45)
- Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) (2020) (45)
- Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015) (2016) (44)
- Exploring the influence of customers' time horizon perspectives on the satisfaction-loyalty link☆ , ☆☆ (2014) (43)
- On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments (2015) (43)
- Should we use single items? Better not ☆ (2016) (40)
- “PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022) (40)
- Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models (2008) (37)
- The Influence of Serotonin Deficiency on Choice Deferral and the Compromise Effect (2016) (36)
- From the Special Issue Guest Editors (2008) (36)
- In Pursuit of Understanding What Drives Fan Satisfaction (2012) (35)
- Latent class analysis in PLS-SEM: A review and recommendations for future applications (2022) (35)
- What really matters in attraction effect research: when choices have economic consequences (2017) (33)
- Quantify uncertainty in behavioral research (2020) (33)
- Perceived Software Platform Openness: The Scale and its Impact on Developer Satisfaction (2011) (32)
- A cross-cultural comparison of brand extension success factors: A meta-study (2010) (31)
- Prediction in HRM research–A gap between rhetoric and reality (2021) (28)
- Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression (2021) (26)
- Short- and Long-Term Effects of Nonconsciously Processed Ambient Scents in a Servicescape: Findings From Two Field Experiments (2019) (21)
- Corporate branding in a turbulent environment (2011) (20)
- Mapping the jungle: A bibliometric analysis of research into construal level theory (2021) (20)
- PLS-SEM’s most wanted guidance (2022) (20)
- Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note (2019) (20)
- How durable are compromise effects (2016) (19)
- Reputation management in times of crisis (2009) (19)
- Principal Component and Factor Analysis (2018) (18)
- Examining the Role of Psychological Ownership and Feedback in Customer Empowerment Strategies (2016) (18)
- Innovative and established research methods in family business: Description, illustration and application guidelines (2014) (18)
- Evaluation of Reflective Measurement Models (2021) (17)
- Is there a tacit acceptance of student samples in marketing and management research? (2010) (16)
- Corporate identity, image and reputation management: a further analysis (2012) (15)
- Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT (2022) (14)
- Model Selection in Mixture Regression Analysis-A Monte Carlo Simulation Study (2007) (14)
- The Market Research Process (2018) (14)
- From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research (2018) (13)
- Corrigendum to “Editorial Partial Least Squares: The Better Approach to Structural Equation Modeling?” [LRP 45/5-6 (2012) 312–319] (2014) (13)
- The IKEA Effect. A Conceptual Replication (2017) (12)
- An Introduction to Structural Equation Modeling (2021) (12)
- Segmenting consumers based on sensory acceptance tests in sensory labs, immersive environments, and natural consumption settings (2021) (11)
- Audi, BMW Group, DaimlerChrysler, Montblanc, Siemens, and Volkswagen Help Explore the Effect of Sponsorship on Corporate Reputations (2010) (11)
- Measurement in the social sciences: where C-OAR-SE delivers and where it does not (2016) (11)
- Partial Least Squares Structural Equation Modeling: Indeed a Silver Bullet (2011) (11)
- Segmenting consumers based on sensory acceptance tests in sensory labs, immersive environments, and natural consumption settings (2021) (11)
- Cluster Analysis (2018) (11)
- Sample- and segment-size specific Model Selection in Mixture Regression Analysis (2006) (10)
- Measurement and Research Methods in International Marketing (2011) (9)
- A comparative evaluation of factor- and component-based structural equation modelling approaches under (in)correct construct representations. (2021) (9)
- Individual Psychological Ownership: Concepts, Evidence, and Implications for Marketing Research (2014) (9)
- The role of context and motivation variables in mobile commerce usage A further perspective on Chong (2013) (2014) (8)
- Fabrication of periodic nanoscale Ag-wire arrays on vicinal surfaces (1998) (8)
- A comparative study of the predictive power of component-based approaches to structural equation modeling (2022) (8)
- Der Knacks and a Silver Bullet (2019) (8)
- Advances in composite-based structural equation modeling (2020) (7)
- Introduction to Market Research (2018) (7)
- Hypothesis Testing and ANOVA (2018) (7)
- A Comparison of Selected Reputation Measures’ Convergent and Criterion Validity (2009) (7)
- Revisiting Hair Et al.’s Multivariate Data Analysis: 40 Years Later (2019) (6)
- Psychological Ownership: A Concept of Value to the Marketing Field (2016) (6)
- Assessing measure congruence in nomological networks (2021) (6)
- Predictive model selection in partial least squares path modeling (PLS-PM) (2015) (6)
- The time vs. money effect. A conceptual replication (2013) (6)
- Moderation Analysis (2021) (6)
- Structural Equation Models: From Paths to Networks (Westland 2019) (2020) (5)
- From Family Identity to Family Firm Image and Reputation: Exploring Facets of the Perception of Family Influence in Branding, Marketing, and Other Messaging (2017) (5)
- Hypothesis Testing & ANOVA (2010) (5)
- Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research (2022) (5)
- Data generation for composite-based structural equation modeling methods (2020) (5)
- Regression Analysis (2018) (5)
- Genetic algorithm segmentation in partial least squares structural equation modeling (2013) (4)
- On the value relevance of customer satisfaction. Multiple drivers and multiple markets (2011) (4)
- Satisfaction with services: An impact-performance analysis for soccer-fan satisfaction judgements (2009) (4)
- Le equazioni strutturali Partial Least Squares. Introduzione alla PLS-SEM (2020) (3)
- selfsurvey.org: A Platform for Prediction-Based Benchmarking and Feedback-Enabled Survey Research (2015) (2)
- Developing Business Acumen in Chinese Business School Graduates (2012) (2)
- The Great Facilitator (2019) (2)
- Digital Socialligators? Social Media-Induced Perceived Support During the Transition to the COVID-19 Lockdown (2021) (2)
- A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis (2022) (2)
- Introduction: Measurement and Research Methods in International Marketing (2011) (1)
- Data generation for composite-based structural equation modeling methods (2020) (1)
- Determining the Number of Segments in Fimix-Pls (2015) (1)
- Quantifying Model Selection Uncertainty Via Bootstrapping and Akaike Weights (2023) (1)
- Case study: Haver & Boecker - the Chinese bitumen market (2006) (1)
- Overview of R and RStudio (2021) (1)
- Evaluation of the Structural Model (2021) (1)
- A primer on integrated generalized structured component analysis (2023) (1)
- Warm Ambient Scents Nudge Consumers to Favour Premium Brands and Right-Wing Parties (2020) (1)
- Hallmarks and potential pitfalls of customer‐ and consumer engagement scales: A systematic review (2023) (1)
- Guest editorial (2021) (1)
- The SEMinR Package (2021) (1)
- Special Issue: “From Family Identity to Family Firm Image and Reputation: Exploring Facets of the Perception of Family Influence in Branding, Marketing, and Other Messaging” Call for papers (2017) (1)
- Guest editorial (2020) (1)
- Evaluation of Formative Measurement Models (2021) (1)
- Communicating the Results (2018) (1)
- Comparing Lab, Virtual, and Field Environments in Sensory Product Acceptance Testing: An Abstract (2017) (1)
- Ambient Scent’s Effects in Sensory Service Marketing: An Abstract (2018) (1)
- A Mobile Based Pharmacy Store Location-aware System (2022) (0)
- Data (2018) (0)
- Customers' Satisfaction–Loyalty Questionnaire (2017) (0)
- Customer research: Time for second thoughts (2018) (0)
- Goodness-of-fit indices for partial least squares path modeling (2012) (0)
- An advanced method to streamline p-hacking (2023) (0)
- Karriereoptimierte Namenswahl mit Name Concept Maps (2015) (0)
- Advances in composite-based structural equation modeling (2020) (0)
- Getting Data (2018) (0)
- Formative Messmodelle (2021) (0)
- Kinderwagenkonfiguration mit der Choice-based Conjoint Analyse (2015) (0)
- Quantify uncertainty in behavioral research (2020) (0)
- STRUCTURAL EQUATION MODELS: FROM PATHS TO NETWORKS (WESTLAND (2020) (0)
- Mark3-17 0001 (2017) (0)
- Mirror, Mirror on the Wall: A Comparative Evaluation of Six Structural Equation Modeling Methods (2016) (0)
- Antecedents and consequences of corporate reputation: A dataset. (2023) (0)
- Make-or-Buy Babybrei (2015) (0)
- On the Performance of Management Consulting Teams (2012) (0)
- Packing the Black Gold - Haver and Boecker and the Chinese Bitumen Market (2006) (0)
- PLS Path Modeling in Innovation Research (2011) (0)
- What really matters in attraction effect research: when choices have economic consequences (2015) (0)
- Selected contributions to market-based management (2008) (0)
- Necessity is the Mother of Invention: Rise of Creativity due to Constraints (2016) (0)
- Structural Equation Models: From Paths to Networks (Westland 2019) (2020) (0)
- Guest Editorial (2011) (0)
- An assessment of the use of partial least squares structural equation modeling in marketing research (2011) (0)
- From the Special Issue Guest Editors (2015) (0)
- A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA (2019) (0)
- Attraction and Compromise Effects in Choice-Based Conjoint Analysis: No-Choice Options as a Remedy: An Abstract (2018) (0)
- (Ir)Rationality of decisions in business research and practice: introduction to the special issue (2019) (0)
- 5.3 Exkurs: Systemvariablen (2010) (0)
- Which Metrics Perform Best in PLS Model Comparisons (2017) (0)
- A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014) (0)
- Response-Based Segmentation in PLS Path Modeling: Application Of Fimix-Pls to American Customer Satisfaction Index Data (2015) (0)
- How collinearity affects mixture regression results (2014) (0)
- Viewing Organizational Commitment Through the Lens of Customization: An Abstract (2017) (0)
- A Comparative Evaluation of Different Single-Item Selection Procedures for Construct Measurement (2015) (0)
- Descriptive Statistics (2018) (0)
- On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments (2015) (0)
- PLS path modeling in marketing and genetic algorithm segmentation (2009) (0)
- Heterogeneity in variance-based structural equations modeling: A systematical procedure for applying FIMIX-PLS (2008) (0)
- Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective (2012) (0)
- A perspective on using partial least squares structural equation modelling in data articles. (2023) (0)
- How are Purchasing Decisions Impacted by the Compromise Effect (2017) (0)
- Mediation Analysis (2021) (0)
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017) (0)
- Special Issue: Ethnic food and its implications for destination tourism in Asia. (2020) (0)
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