Otto-von-Guericke-Universität Magdeburg

 
 
 
 
 
 
 
 

News: Forschung

Germanys most influential researchers

11.09.2018 - The Chair of Marketing is listed in this year's F.A.Z. ranking of Germany’s most influential researchers: Prof. Dr. Marko Sarstedt ranked third place.

http://www.faz.net/aktuell/wirtschaft/wirtschaftswissen/f-a-z-oekonomenranking-2018-die-tabellen-15761727.html

 
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Latest Thinking Video

11.09.2018 - Check out the newest Latest Thinking video in which Prof. Dr. Marko Sarstedt introduces the Journal of Marketing Research paper on compromise effects, co-authored by Jun. Prof. Marcel Lichters, Dr. Gideon Nave, Dr. Claudia Brunnlieb, and Prof. Dr. Dr. Bodo Vogt:

https://lt.org/publication/how-are-purchasing-decisions-impacted-compromise-effect

Publications Link  http://journals.ama.org/doi/abs/10.1509/jmr.14.0482

 
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World Marketing Congress

14.08.2018 - Joe Hair (University of South Alabama), Christian Ringle (Hamburg University of Technology), and Marko Sarstedt (OVGU) are organizing the track "Marketing Research: Methods, Measures, and Analytics" at the 2019 World Marketing Congress to be held in Edinburgh on July 9-12, 2019. We welcome all submissions to our track. Submission deadline is October 01, 2018. For further information please check the call for papers at https://easychair.org/cfp/AMSWMC22.
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Social Network Analysis Paper Accepted for Publication

25.07.2018 - We’re happy to announce that the paper titled “From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research,“ has been accepted for publication in Journal of Service Management Research. Authored by Martin P. Fritze (University of Cologne), Florian Urmetzer (University of Cambridge), Gohar Khan (University of Waikato), Marko Sarstedt (OVGU), Andy Neely (University of Cambridge), and Tobias Schäfers (University of Dortmund), the paper reports the results of a social network analysis of the sharing economy and servitization literature. The analysis reveals the structure of the knowledge networks that have been formed as a result of the collaborative works of researchers, institutions, and journals that shape, generate, distribute, and preserve the domains’ intellectual knowledge. As such, the study sheds light on the cohesion and fragmentation of knowledge and highlights the emerging and fading topics within the field. The findings suggest numerous avenues for further research on the transition of goods to services consumption.
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Publication in Journal of Cleaner Production

03.07.2018 - We’re happy to announce the publication of our recently accepted paper “Framing the triple bottom line approach: Direct and mediation effects between economic, social and environmental elements” in Journal of Cleaner Production, an international, transdisciplinary journal focusing on environmental and sustainability research (impact factor: 5.651). The paper sheds light on the interplay between the economic, social and environmental elements of business sustainability, which are also referred to as the Triple Bottom Line (TBL). The results of two cross-industrial studies in Norway and Spain indicate that the TBL's economic element has a direct effect on the environmental element, with the social element mediating this effect. The results offer empirical insights into the interplay between the three TBL elements, which have important implications for research and practice.

The publisher has created a Share Link – a personalized URL providing 50 days' free access to the article. Simply click on the following link before August 21, 2018 and you will be taken directly to the final version of the article on ScienceDirect:

https://authors.elsevier.com/c/1XJmn3QCo9R3Fb
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Paper on predictive model selection accepted

18.06.2018 - We are happy to announce that the paper “Prediction-oriented model selection in partial least squares path modeling,” authored by Pratyush N. Sharma (University of Delaware), Galit Shmueli (National Tsing Hua University), Marko Sarstedt (OVGU), Nicholas Danks (National Tsing Hua University), and Soumya Ray (National Tsing Hua University) has been accepted for publication in Decision Sciences. In our paper, we compare the performance of standard PLS-SEM-based model evaluation and model selection criteria derived from Information Theory, in terms of selecting the best predictive model among a cohort of competing models. We use Monte Carlo simulation to study this question under various sample sizes, effect sizes, item loadings, and model setups. Specifically, we explore whether, and when, the in-sample measures such as the model selection criteria can substitute for out-of-sample criteria that require a holdout sample. Such a substitution is advantageous when creating a holdout causes considerable loss of statistical and predictive power due to an overall small sample. Based on our results, we identify a set of criteria that researchers should use when not having the luxury of a holdout sample, and the goal is selecting correctly specified models with low prediction error. We also illustrate the model selection criteria’s practical utility using a well-known corporate reputation model.
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New Publication on Model Selection in PLS-SEM

23.05.2018 - We are happy to announce that the paper titled “PLS-based Model Selection: The Role of Alternative Explanations in Information Systems Research” has been accepted for publication in Journal of the Association for Information Systems, the flagship journal of the Association for Information Systems. Authored by Pratyush N. Sharma (University of Delaware), Marko Sarstedt (OVGU), Galit Shmueli (National Tsing Hua University), Kevin H. Kim (University of Pitsburgh), and Kai O. Thiele (Hamburg University of Technology), the paper advocates model selection in Information Systems (IS) studies that use partial least squares path modeling (PLS) and suggests the use of model selection criteria derived from Information Theory for this purpose. These criteria allow researchers to compare alternative models and select a parsimonious yet well-fitting model. However, as a review of prior IS research practice shows, their use—while common in the econometrics field and in factor-based SEM—has not found its way into studies using PLS. Using a Monte Carlo study, the study then compares the performance of several model selection criteria in selecting the best model from a set of competing models under different model set-ups and various conditions of sample size, effect size, and loading patterns. The results suggest that appropriate model selection cannot be achieved by relying on the PLS criteria (i.e., R2, Adjusted R2, GoF, and Q2), as is the current practice in academic research. Instead, model selection criteria, in particular the Bayesian information criterion (BIC) and the Geweke-Meese criterion (GM), should be used due to their high model selection accuracy and ease of use. To support researchers in the adoption of these criteria, the paper introduces a five-step procedure that delineates the roles of model selection and statistical inference, and discusses misconceptions that may arise in their use.

 
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Endogeneity in PLS-SEM: New article!

15.05.2018 - The article titled “Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling,” authored by G. Tomas M. Hult (Michigan State University), Joseph F. Hair (University of South Alabama), Dorian Proksch (HHL Leipzig Graduate School of Management), Marko Sarstedt (OVGU), Andreas Pinkwart (HHL Leipzig Graduate School of Management), and Christian M. Ringle (Hamburg University of Technology) has been accepted for publication in Journal of International Marketing. In this paper, we discuss the issue of endogeneity, which has largely been overlooked by users of partial least squares structural equation modeling (PLS-SEM), a popular method for analyzing complex inter-relationships between observed and latent variables. To identify and treat endogeneity, and create awareness of how to deal with this issue, we introduce a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure’s efficacy by means of empirical data, and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses.
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Social network analysis of PLS-SEM research

12.04.2018 - We’re happy to announce that the paper “Methodological research on partial least squares structural equation modeling (PLS-SEM): An analysis based on social network approaches“ has been accepted for publication in Internet Research, a leading journal in the Information Systems field. Authored by Gohar F. Khan (The University of Waikato), Marko Sarstedt, Wen-Lung-Shiau (Ming Chuan University), Joe F. Hair (University of South Alabama), Christian M. Ringle (Hamburg University of Technology), and Martin P. Fritze (University of Cologne), we explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. We analyze the structures of author, institution, country, and co-citation networks, and disclose trending schemes in the field. Based on bibliometric data downloaded from the Web of Science, we apply various social network analysis and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically, we investigate the PLS-SEM knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions. We find that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, our research also identifies journals that play a key role in disseminating knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research.
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New publication on PLS-SEM

05.02.2018 - The article titled "Heuristics versus statistics in discriminant validity testing: A comparison of four procedures,“ authored by George Franke (University of Alabama) and Marko Sarstedt has been accepted for publication in Internet Research, a leading journal in the management information systems field (impact factor: 2.93). This study reviews and extends recent simulation studies on discriminant validity measures, contrasting the use of cutoff values (i.e., heuristics) with inferential tests. Based on a simulation study, which considers different construct correlations, sample sizes, numbers of indicators, and loading patterns, the study assesses each criterion’s sensitivity to type I and type II errors. The findings provide further evidence for the robustness of the heterotrait-monotrait ratio of correlations (HTMT) criterion as an estimator of disattenuated (perfectly reliable) correlations between constructs, whose performance parallels that of the standard constrained Phi approach. Furthermore, the study dentify situations in which both methods fail and suggest an alternative criterion.

Franke, George and Sarstedt, Marko (2018). "Heuristics versus statistics in discriminant validity testing: A comparison of four procedures,“ Internet Research, forthcoming.
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Two New Publications on PLS-SEM

29.11.2017 -  Two papers on the use of partial least squares structural equation modeling (PLS-SEM) in hospitality management and human resource management have recently been accepted for publication. In both papers, the authors critically review the use of the PLS-SEM in the corresponding fields, derive guidelines for the method’s use in future studies, and offer recommendations for future research on the method. The first paper will appear in International Journal of Contemporary Hospitality Management, which is the leading journal in the field with an Impact Factor of 3,196. The second paper will be published in International Journal of Human Resource Management, a premier journal in the field with an Impact Factor of 1,65.

References:

Ali, Faizan, S. Mostafa Rasoolimanesh, Marko Sarstedt, Christian M. Ringle, and Kisang Ryu (2018). “An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research,” International Journal of Contemporary Hospitality Management, forthcoming.

Ringle, Christian M., Marko Sarstedt, Rebecca Mitchell, and Siegfried P. Gudergan (2018). “Partial Least Squares Structural Equation Modeling in Human Resource Management Research,” International Journal of Human Resource Management, forthcoming.
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Market Research Book Published

29.11.2017 -  We’re happy to announce the publication of our latest book, “Market Research. The Process, Data, and Methods Using Stata.” Authored by Erik Mooi (University of Melbourne), Marko Sarstedt, and Irma Mooi-Reci (University of Melbourne) the book is an easily accessible and comprehensive guide for researchers and students who wish to know more about the process, data management, and most commonly used methods in market research using Stata. The book is engaging, hands-on and includes many practical examples, tips and suggestions that make it easy for the readers to apply and interpret quantitative methods such as regression, factor and cluster analysis.

The website https://www.guide-market-research.com/stata/ contains further details on the book, instructor resources, and a sample chapter on principal component and factor analysis.
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Paper accepted

10.10.2017 - The paper of Marcel Lichters, Frauke Kühn and Nina Krey with the title: "The Touchy Issue of Produce in Online Retailing: The Impact of Need for Touch" was accepted for the 2017 Retail and Distribution Symposium of the Society for Marketing Advances (SMA) Conference.
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Special Issue of “Business Research”

08.09.2017 - Alexander Dilger (Universität Münster) and Marko Sarstedt will be editing a special issue of “Business Research,” the official journal of the German Academic Association for Business Research (VHB). The special issue on “(Ir)rationality of Decisions in Business Research and Practice” invites submissions of papers that contribute directly to the theme of the

Annual Conference of the German Academic Association for Business Research (VHB) in

Magdeburg, May 23 - 25, 2018. Please see the call for papers here.
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New Publication on PLS-SEM

08.09.2017 - The article titled “An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research” has been accepted for publication in International Journal of Contemporary Hospitality Management, a premier journal in the field. In this article, we systematically examine how PLS-SEM has been applied in major hospitality research journals with the aim of providing important guidance and, if necessary, opportunities for realignment in future applications. Our review of all PLS-SEM studies published in six SSCI-indexed hospitality management journals between 2001 and 2015 shows that, compared to other fields, several reporting practices are clearly above standard but still leave room for improvement. Furthermore, hospitality researchers seem to be unaware of recent extensions of the PLS-SEM method, which clearly extend the scope of the analyses and help gaining more insights from the model and the data.
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Three papers awarded

24.05.2017 - We are happy to announce that three papers have recently been awarded the prestigious 2017 Emerald Citation of Excellence Awards:

Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research”, written by John F. Hair Jr. (University of South Alabama), Marko Sarstedt (Otto-von-Guericke-University of Magdeburg), Lucas Hopkins (Middle Georgia State College Macon), and Volker Kuppelwieser (NEOMA Business School Mont-Saint-Aignan),published in European Business Review, 2014,

Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann”, written by Jörg Henseler (University of Twente), Theo K. Dijkstra (University of Groningen), Marko Sarstedt (Otto-von-Guericke-University of Magdeburg), Christian M. Ringle (Hamburg University of Technology), Adamantios Diamantopoulos (University of Vienna), Detmar W. Straub (Georgia State University), David J. Ketchen (Auburn University), John F. Hair Jr. (University of South Alabama), Thomas M. Hult (Michigan State University), and Roger J. Calantone (Michigan State University), published in Organizational Research Methods, 2014, and 

A new criterion for assessing discriminant validity in variance-based structural equation modeling”, written by Jörg Henseler (University of Twente), Christian M. Ringle (Hamburg University of Technology), and Marko Sarstedt (Otto-von-Guericke-University of Magdeburg), published in Journal of the Academy of Marketing Science, 2014

Each year Emerald Group Publishing awards certificates to highly cited papers relating to the areas of Business Management, Finance, Accounting, Economics and Marketing. The selection process made by Emerald's own editorial experts is based initially on the citations being given to papers published in a previous year (in this case 2014), but the judging panel also take into account the content of the papers themselves in terms of novelty, inter-disciplinary interest and relevancy in today’s world. For more information, please visit: http://www.emeraldgrouppublishing.com/authors/literati/citations/awards.htm.


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Two Outstanding Papers

19.05.2017 - We are happy to announce that the paper “Gain more insight from your PLS-SEM results” written by Christian M. Ringle (University of Technology Hamburg-Harburg) and Marko Sarstedt (Otto-von-Guericke-University of Magdeburg), published in Industrial Management & Data Systems has been selected by the journal’s editorial team as the Outstanding Paper in the 2017 Emerald Literati Network Awards for Excellence.

Furthermore, we are happy to announce that the paper "Measurement in the social sciences: where C-OAR-SE delivers and where it does not" written by Thomas Salzberger (Vienna University of Economics and Business), Marko Sarstedt (Otto-von-Guericke-University of Magdeburg), and Adamantios Diamantopoulos (University of Vienna), published in European Journal of Marketing has been awarded Oustanding Paper of the year 2017. More information you can find here!

 
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New Book on PLS-SEM Released!

12.05.2017 - We’re happy to announce the release of the book Advanced Issues in Partial Least Squares Structural Equation Modeling. Written by Joe F. Hair (University of South Alabama), Marko Sarstedt (OvGU), Christian M. Ringle (TU Hamburg-Harburg) and Siegfried P. Gudergan (University of Newcastle), easy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. The book provides a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 3 software (www.smartpls.com) and accompanied by free downloadable data sets, the book emphasizes that any advanced PLS-SEM approach should be carefully applied to ensure that it fits the appropriate research context and the data characteristics that underpin the research. For more information, please visit: https://uk.sagepub.com/en-gb/eur/advanced-issues-in-partial-least-squares-structural-equation-modeling/book243803

 
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New Conceptual Paper on PLS-SEM

26.04.2017 - The paper “On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations,” authored by Edward E. Rigdon (Georgia State University), Christian M. Ringle (TU Hamburg-Harburg) and Marko Sarstedt has been accepted for publication in Marketing ZFP – Journal of Research and Management. In this conceptual article, the authors argue that the comparison of results from covariance-based structural equation modeling and partial least squares structural equation modeling – despite considerable research interest – is misleading and misguided, capable of generating both false confidence and false concern. Instead of seeking confidence in the comparison of results across methods, which differ in their specific requirements, computational procedures, and imposed constraints on the model, researchers should focus on more fundamental aspects of research design. Based on our discussion, we derive recommendations for applied research using structural equation modeling.
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Victor Schliwa has been invited to the 2017 Summer AMA Conference

25.04.2017 - Victor Schliwa has been invited to present his research titled “Product popularity as moderator of unavailability effects under extremeness aversion” at the poster session of the 2017 Summer AMA Conference held in San Francisco (USA) in August 2017.
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JAMS paper named a New Hot Paper in Essential Science Indicators

15.03.2017 - The article “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” published in Journal of the Academy of Marketing Science (Volume 43, Issue 1, 2015) and authored by Jörg Henseler (University of Twente), Christian M. Ringle (Hamburg University of Technology), and Marko Sarstedt (Otto-von-Guericke-University Magdeburg) was recently named a New Hot Paper for Economics & Business in Essential Science Indicators (ESI). ESI comprises papers published in the past two years that are in the top one-tenth of one percent (0.1%) in terms of citations for their field and publication period.

ESI is a unique and comprehensive compilation of science performance statistics and science trends data, covering a multidisciplinary selection of 12,000+ journals from around the world. It is based on journal article publication counts and citation data from Clarivate Analytics, the company that maintains the Web of Science, Journal Citation Reports, and many others.

More information: http://clarivate.com/new-hot-papers-in-essential-science-indicators-3/?category=science-research-connect

For an interview with Marko Sarstedt in the Clarivate Analytics Science Research Connect blog:

http://clarivate.com/new-hot-paper-in-economics-business-reports-on-new-method-for-model-evaluation/?category=science-research-connect
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Special issue co-edited by Prof. Dr. Sarstedt

15.03.2017 - Wen-Lung Shiau (Ming Chuan University, Taiwan), Marko Sarstedt (OvGU), and Joseph F. Hair (University of South Alabama, USA) are editing a special issue of Internet Research (Impact Factor: 3.07) on partial least squares structural equation modeling (PLS-SEM). The submission due date is December 01, 2017. For more information, see http://emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=7145
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Track chair at the 2018 WMC conference

20.02.2017 - Marko Sarstedt has been selected to serve as track chair for the Research Methods track at the 2018 World Marketing Congress to be held in Porto (Portugal) in June 2018. For more information and the call for papers, visit: http://c.ymcdn.com/sites/www.ams-web.org/resource/resmgr/2018/2018WMCCFP.pdf

 
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New JAMS Paper on PLS-SEM

20.02.2017 - The paper “Mirror, mirror on the wall. A comparative evaluation of composite-based structural equation modeling methods” has been accepted for publication in Journal of the Academy of Marketing Science (JAMS), one of the top-tier journals in business research in terms of impact factor and ranked in the Financial Times top 50 journal list. The paper, authored by Joe F. Hair (University of Southern Alabama), G. Tomas M. Hult (Michigan State University), Christian M. Ringle (TU Hamburg-Harburg), Marko Sarstedt (OvGU), and Kai O. Thiele (TU Hamburg-Harburg) offers a comprehensive assessment of composite-based SEM techniques on the basis of composite model data, considering a broad range of model constellations. Results of a large-scale simulation study substantiate that PLS and generalized structured component analysis are consistent estimators when the underlying population is composite model-based. While both methods outperform sum scores regression in terms of parameter recovery, PLS achieves slightly greater statistical power.

For more information: http://link.springer.com/article/10.1007/s11747-017-0517-x

 
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Top-cited marketing article

14.11.2016 - The article “ A new criterion for assessing discriminant validity in variance-based structural equation modeling,” authored by Jörg Henseler (University of Twente), Christian M. Ringle (Hamburg University of Technology), and Marko Sarstedt (OvGU) and published in 2015 in the Journal of the Academy of Marketing Science has been featured in Shugan’s Top 20 Marketing Meta Journal. Each issue contains the 20 most frequently cited marketing articles from the top-tier marketing journals in a four-year moving window. The current issue lists the article on position 15.

To access the ranking, go to: http://bear.warrington.ufl.edu/centers/mks/

The article can be downloaded from: http://link.springer.com/article/10.1007/s11747-014-0403-8.
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New paper on measurement

14.11.2016 - The article “Measurement in the social sciences: Where C-OAR-SE delivers and where it does not,” authored by Thomas Salzberger (Vienna University of Economics), Marko Sarstedt (OvGU), and Adamantios Diamantopoulos (University of Vienna) has been accepted for publication in European Journal of Marketing. The article critically comments on Rossiter’s “How to use C-OAR-SE to design optimal standard measures“ in the same issue of European Journal of Marketing and provides a broader perspective on Rossiter’s C-OAR-SE framework and measurement practice in marketing in general. The paper shows that, at best, Rossiter’s mathematical dismissal of convergent validity applies to the completely hypothetical (and highly unlikely) situation where a perfect measure without any error would be available. Being immunized against any piece of empirical evidence, C-OAR-SE cannot be considered a scientific theory and is bound to perpetuate, if not aggravate, the fundamental flaws in current measurement practice. For more information, visit: http://www.emeraldinsight.com/doi/abs/10.1108/EJM-10-2016-0547.
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New paper "Examining the Role of Psychological Ownership and Feedback in Customer Empowerment Strategies"

19.10.2016 - The paper "Examining the Role of Psychological Ownership and Feedback in Customer Empowerment Strategies" authored by Joe F. Hair (University of South Alabama), Kati Barth (OVGU), Doreen Neubert (OVGU) and Marko Sarstedt (OVGU) has been accepted for publication in the Journal of Creating Values. See more here.
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New paper on PLS-SEM

06.07.2016 - The paper “Estimation Issues with PLS and CBSEM: Where the Bias Lies,” authored by Marko Sarstedt, Joe F. Hair (University of South Alabama), Christian M. Ringle, Kai Oliver Thiele (both Hamburg University of Technology) and Siegfried P. Gudergan (University of Newcastle) has been accepted for publication in Journal of Business Research. In this paper, the authors develop a framework for model building and estimation when using PLS-SEM that aligns different measurement and estimation perspectives. Results from a simulation study substantiate the conceptual considerations, highlighting the biases that occur when using (1) composite-based partial least squares path modeling to estimate common factor models, and (2) common factor-based covariance-based structural equation modeling to estimate composite models. The results show that the use of PLS is preferable, particularly when it is unknown whether the data’s nature is common factor- or composite-based. The full paper can be downloaded free of charge here.
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New paper on measurement invariance testing

09.06.2016 - The paper “Assessing the Measurement Invariance of the Four-dimensional Cultural Intelligence Scale Across Countries: A composite model approach” authored by Christopher Schlägel and Marko Sarstedt (both OvGU), has been accepted for publication in European Management Journal. In their paper, the authors assess the measurement invariance of the commonly used four-dimensional cultural intelligence scale across five countries (China, France, Germany, Turkey, and the U.S.) by means of a composite model logic, using partial least squares structural equation modeling (PLS-SEM). The results question the scale’s dimensionality concerning China and France, and reveal an item set that is invariant across the other countries. The findings indicate that researchers should be aware of the potential lack of measurement invariance regarding the standard measurement of cultural intelligence.
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New paper on PLS-SEM

19.04.2016 - The paper “Segmentation of PLS Path Models by Iterative Reweighted Regressions” authored by Rainer Schlittgen (University of Hamburg), Christian M. Ringle (Hamburg University of Technology), Marko Sarstedt (OvGU), and Jan-Michael Becker (University of Cologne) has been accepted for publication in Journal of Business Research. In their paper, the authors introduce a new approach for uncovering and treating unobserved heterogeneity in partial least squares structural equation modeling (PLS). The iterative reweighted regressions segmentation method for PLS (PLS-IRRS) effectively identifies and treats unobserved heterogeneity in data sets. Compared to existing alternatives, PLS-IRRS is multiple times faster while delivering results of the same quality. Researchers should therefore routinely use PLS-IRRS to address the critical issue of unobserved heterogeneity in PLS.
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Meist zitierter Artikel des JMTP von Hair, Ringle und Sarstedt / Most cited JMTP article by Hair, Ringle and Sarstedt

14.04.2016 - In einer kürzlich speziell erschienenen Ausgabe des Journal of Marketing Theory and Practice (JMTP) wurden die 20 meistzitierten Aufsätze der letzten zehn Jahre im Rückblick zusammengefasst. Erfreulicherweise führt der Artikel "PLS-SEM: Indeed a Silver Bullet" von Joe F. Hair, Christian M. Ringle und Marko Sarstedt diese Liste mit insgesamt 1.789 Google Scholar Zitationen an und ist damit gleichzeitig der meistzitierte JMTP- Artikel aller Zeiten. Mehr Infos und den ganzen Artikel finden Sie hier.
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Second edition of the Primer on PLS-SEM released

12.04.2016 - Partial least squares structural equation (PLS-SEM) is evolving as a statistical modeling technique, and while there are several published articles on the method, until the first edition of „A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)“ there was no comprehensive book that explains the fundamental aspects of the method, particularly in a way that can be comprehended by individuals with limited statistical and mathematical training. This second edition of the book updates and extends the coverage of PLS-SEM for social sciences researchers, and creates awareness of the most recent developments in a tool that will enable them to pursue research opportunities in new and different ways. The second edition covers a broad range of new topics such as:
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New paper on context effects

12.04.2016 - The paper “How Durable are Compromise Effects?,” authored by Lichters, Marcel, Holger Müller, Marko Sarstedt, and Bodo Vogt has been accepted for publication in Journal of Business Research.
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New Publication on FIMIX-PLS

02.11.2015 - The paper titled “Guidelines for Treating Unobserved Heterogeneity in Tourism Research: A Comment on Marques and Reis (2015),” authored by Marko Sarstedt (OvGU), Christian M. Ringle (Technical University Hamburg-Harburg), and Siggi Gudergan (University of Newcastle, Australia) has been accepted for publication in Annals of Tourism Research, a leading journal in the field. In this comment, the authors discuss aspects related to the use of finite mixture partial least squares (FIMIX-PLS), a popular approach for dealing with unobserved heterogeneity in PLS path models. These issues include (1) the determination of the number of segments, (2) the specification of segments through explanatory variables, (3) the comparison of path coefficients across segments using multigroup analysis, and (4) the requirements for doing so.
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Second Citations of Excellence Award

29.10.2015 - The article “Guidelines for Choosing Between Multi-Item and Single-Item Scales for Construct Measurement: A Predictive Validity Perspective,” authored by Adamantios Diamantopoulos (Universität Wien), Marko Sarstedt (OvGU), Christopher Fuchs (TU München) and Petra Wilczynski (LMU München) published in Journal of the Academy of Marketing Science, 2012, has been selected as a winning paper in the prestigious Emerald Citations of Excellence for 2015. After the awarding of the article “An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research,” this is the second Citations of Excellence Award granted to the Institute this year. The selection process made by Emerald editorial experts is based initially on the citations being given to papers published in a previous year (in this case 2012), but the judging panel also takes into account the content of the papers themselves in terms of novelty, inter-disciplinary interest and relevancy in today’s world.
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New publication on context effecs

07.10.2015 - The paper titled “What Really Matters in Attraction Effect Research: When Choices Have Economic Consequences,” authored by Marcel Lichters, Paul Bengart, Marko Sarstedt, and Bodo Vogt has just been accepted for publication in Marketing Letters. In their research, the authors present the results of an experiment on the attraction effect with realistic choice settings, contrasting hypothetical choices with binding choices that entail economic consequences. They find the attraction effect to be much stronger when decisions are binding. As such, this study ties in with the recent debate on the robustness of the attraction effect, underlining the effect’s usefulness as a marketing tool.
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New publication on single item scaling

30.07.2015 - The study titled “Selecting Single Items to Measure Doubly Concrete Constructs: A Cautionary Tale,” has recently been accepted for publication in the Journal of Business Research. Authored by Marko Sarstedt (OvGU), Adamantios Diamantopoulos (University of Vienna), Thomas Salzberger (Vienna University of Economics and Business), and Petra Baumgartner (Home Shopping Europe GmbH), the study sheds light on the practical use of single-item measures, which have recently become more en vogue due to studies arguing in favor of their psychometric properties vis-à-vis multi-item scales. However, their effective use requires (1) expert raters to designate the focal construct as being doubly concrete, and (2) researchers to find a ‘good’ single item to represent the construct. The study examines whether expert raters identify the doubly concrete nature of constructs that prior research presents as exemplary in this respect. Furthermore, the study compares the efficacy of a broad range of selection mechanisms based on expert judgment and statistical criteria for identifying the best item in a scale. The results show that expert raters do not share the commonly held belief that researchers can validly measure constructs such as attitude toward the ad, or brand, with single items. Further analyses show that neither rater assessments, nor statistical criteria prove valuable regarding identifying an appropriate single item from a set of candidate items.
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Paper accepted in Journal of Marketing Research

23.07.2015 - The paper titled “The Influence of Serotonin Deficiency on Choice Deferral and the Compromise Effect,” authored by Marcel Lichters, Claudia Brunnlieb, Marko Sarstedt, Bodo Vogt (Otto-von-Guericke-University Magdeburg) and Gidi Nave (California Institute of Technology) has been accepted for publication in Journal of Marketing Research – the most prestigious Marketing journal worldwide.
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Prestigious Emerald Citations of Excellence award

09.07.2015 - The article “An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research,” published in Journal of the Academy of Marketing Science, 2012) has been selected as a winning paper in the prestigious Emerald Citations of Excellence for 2015. In this paper, Joe F. Hair (Kennesaw State University), Marko Sarstedt (OvGU), Christian M. Ringle (Hamburg University of Technology) and Jeannette A. Mena (University of South Florida) offer a comprehensive review of all PLS-based studies published in the top 30 marketing journals in a 30-year period and derive recommendations for the technique’s future use. The selection process made by Emerald editorial experts is based initially on the citations being given to papers published in a previous year (in this case 2012), but the judging panel also takes into account the content of the papers themselves in terms of novelty, inter-disciplinary interest and relevancy in today’s world. Article access at:
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PLS-SEM awarded as the Outstanding Paper of 2014

27.05.2015 - We are pleased to announce that Prof. Sarstedt was awarded for his paper “Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research” published in European Business Review. The journal's editorial team selected it to be the "Outstanding Paper of 2014".
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New publication on PLS-SEM

30.03.2015 - The paper titled “Testing Measurement Invariance of Composites Using Partial Least Squares,” has been accepted for publication in International Marketing Review. In the paper, Jörg Henseler (University of Twente, The Netherlands), Christian M. Ringle (Hamburg University of Technology) and Marko Sarstedt (Otto-von-Guericke-University Magdeburg) propose a novel three-step procedure to analyze the measurement invariance of composite models (MICOM) when using variance-based SEM, such as partial least squares path modeling (PLS). Results from a large-scale simulation study and an empirical study provide support for the approach’s suitability to analyze the measurement invariance in PLS applications.
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New publication on context effects

30.03.2015 - The paper titled “On the Practical Relevance of the Attraction Effect: A Cautionary Note and Guidelines for Context Effect Experiments,” authored by Marcel Lichters, Marko Sarstedt, and Bodo Vogt (all Otto-von-Guericke-University Magdeburg) has been accepted for publication in AMS Review, a premier marketing journal that focuses exclusively on conceptual and theoretical contributions across all sub-discipline areas in the field of marketing. The paper ties in with the recent debate on the robustness and usefulness of context effects, according to which consumers’ preferences shift as a result of the addition of further product options. The paper takes a broader perspective on the issue of the generalizability of research results and introduces a set of background factors, which, if neglected, have adverse consequences for such generalizability. The results of our extensive review of the literature on this topic, published during the last four decades in the top 30 marketing journals, show that context effect studies have routinely neglected these background factors. The paper concludes with guidelines for implementing context effect experiments in future consumer research. These guidelines allow for a more realistic analysis of the attraction effect and related context effects in consumer research.
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Special Issue on Psychological Ownership Released

27.03.2015 - The Journal of Marketing Theory & Practice has just released the special issue titled “Psychological Ownership: A Concept of Value to the Marketing Field,” edited by Iiro Jussila, Anssi Tarkiainen (both Lappeenranta University of Technology, Finland), Marko Sarstedt (Otto-von-Guericke-Universität Magdeburg, Germany) and Joseph F. Hair (Kennesaw State University, USA). The special issue provides a forum for topical issues that advance the understanding of psychological ownership, which refers to a personal sense of possession an individual holds for a material or immaterial target (i.e., “This is MINE!”). While featuring prominently in the organizational behavior literature, researchers in marketing have only recently started to adopt the psychological ownership construct and associated theory. Against this background, the articles included in the special issue shed light on various aspects of psychological ownership and related concepts, from both a conceptual and an empirical perspective. More information
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