Neuer Artikel in Psychometrika veröffentlicht!
Wir freuen uns, die Veröffentlichung des Artikels mit dem Titel "Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note" bekannt zu geben, verfasst von Edward E. Rigdon (Georgia State University), Jan-Michael Becker (Universität Köln) und Marko Sarstedt (OVGU) in Psychometrika. In diesem Beitrag zeigen die Autoren analytisch, dass Parceling im Allgemeinen die Faktorunbestimmtheit erhöht und damit die Gültigkeitslücke zwischen Konstrukten und den konzeptionellen Variablen, die sie repräsentieren, vergrößert.
Infos zur Sendung: https://link.springer.com/
Ein vom Verband der Hochschullehrer für Betriebswirtschaft jährlich vergebener VHB-Lehrbuchpreis geht 2019 an Prof. Dr. Marko Sarstedt und seine Koautoren J. F. Hair, Jr. /C. M. Ringle/S. P. Gudergan für den bei SAGE erschienenen Titel „Advanced Issues in Partial Least Squares Structural Equation Modeling“. Die Preisverleihung erfolgte am 14. Juni im Rahmen der VHB-Jahrestagung in Rostock. "Durch diese Auszeichnung", schreibt der VHB, "würdigen wir im Verband das Engagement unserer Mitglieder in der betriebswirtschaftlichen Lehre, die neben der Forschung eine zweite zentrale Aufgabe unserer Arbeit als Wissenschaftlerinnen und Wissenschaftler ist". Mit dem VHB-Lehrbuchpreis "soll die Bedeutung wissenschaftlich fundierter Lehre im Fach Betriebswirtschaftslehre hervorgehoben und gewürdigt werden".
Der Lehrstuhl für Marketing führt an der "14. Langen Nacht der Wissenschaft" die sensorische Geschmacksstudie
"Wie schmeckt's dir"
zu Popcorn durch. Alle Interessierten sind herzlich dazu eingeladen vorbeizuschauen, einen Kurzfilm zu schauen und Gratis Popcorn zu genießen!
Zeitraum: ab 18:15 Uhr bis 23:30 Uhr
Zeitdauer: max. 30 Minuten
Ort: Gebäude 22 (Raum A020)
CoRe: Das Consumer Research Cluster, in Kooperation mit der Friedrich-Naumann-Stiftung, heißt Herrn Dr. Marco Buschmann zu einem Gastvortrag zum Thema Politikmarketing herzlich willkommen.
Das Consumer Research Cluster (CoRe) der OvGU (Prof. Dr. Sarstedt & Asst. Prof. Dr. Lichters) in Kooperation mit der Friedrich-Naumann-Stiftung für die Freiheit freuen sich den Ersten Parlamentarischen Geschäftsführer der FDP im deutschen Bundestag, Herrn Dr. Marco Buschmann, zu einem Gastvortrag willkommen heißen zu können.
Wir bieten allen interessierten Studierenden und Lehrpersonen die Möglichkeit an dieser Gastvorlesung mit dem Thema: "Politikmarketing am Beispiel der Umpositionierung der Marke FDP" teilzunehmen.
Die Veranstaltung beginnt am Dienstag, den 23.04.2019 um 11:15 Uhr im Hörsaal 1 des Gebäudes 26! Wir freuen uns auf Ihre Teilnahme.
Weitere Informationen: Ankündigung der Gastvorlesung von Dr. Marco Buschmann
Webauftritt CoRe: www.core.ovgu.de
Marketingwissenschaftler haben zusammen mit Duftdesignern erforscht, ob künstliche Düfte Bahnreisen angenehmer machen. Machen sie, sagen die Wissenschaftler aus Magdeburg. Wäre die Manipulation wünschenswert?
Dies und die zunehmende Bedeutung von Düften in der Industrie thematisiert Prof. Dr. Sarstedt in einem fünfminütigem Beitrag für die Sendung Quarks vom WDR. Den Beitrag finden Sie zum nachhören in der Mediathek des WDR oder direkt hier
Wir freuen uns, Ihnen mitteilen zu können, dass der von Edward E. Rigdon (Georgia State University), Jan-Michael Becker (Universität zu Köln) und Marko Sarstedt verfasste Artikel mit dem Titel "Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement" in der Zeitschrift Multivariate Behavioral Research, einer der weltweit führenden Zeitschriften für Statistik und Messung, veröffentlicht wurde. In diesem Beitrag stellen die Autoren das Konzept der messtechnischen Unsicherheit in der Psychometrie vor und argumentieren, dass Faktorunbestimmtheit eine Form der Messunsicherheit ist. Basierend auf ihren Ergebnissen kommen die Autoren zu dem Schluss, dass die Faktorunbestimmtheit die Gültigkeit der psychometrischen Messung fundamental gefährdet. Die Verknüpfung zwischen einem gemeinsamen Faktor und der konzeptionellen Variable, die der Faktor darstellt wird aufgrund dessen maßgeblich verzerrt.
Für weitere Informationen:
Der Lehrstuhl für Marketing freut sich, das neueste Video von Latest Thinking zur Modellauswahl in PLS-SEM mit Ihnen zu teilen. In diesem Video stellt Marko Sarstedt seinen bald erscheinenden Artikel im Journal of the Association for Information Systems mit dem Titel "PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research" vor, den er zusammen mit Pratyush Nidhi Sharma, Galit Shmueli, Kevin H. Kim und Kai O. Thiele verfasst hat. Viel Spaß beim Anschauen!
We are happy to announce the publication of two new papers on partial least squares structural equation modeling (PLS-SEM). The first paper titled “When to use and how to report the results of PLS-SEM,” authored by Joe F. Hair (University of South Alabama), Jeffrey J. Risher (University of West Florida), Marko Sarstedt (OVGU), and Christian M. Ringle (Hamburg University of Technology Hamburg) and published in European Business Review provides a comprehensive overview of the considerations and metrics required for PLS-SEM analysis and result reporting. Besides covering established PLS-SEM evaluation criteria, the overview includes new guidelines for applying (1) PLSpredict, a novel approach for assessing a model’s out-of-sample prediction, (2) metrics for model comparisons, and (3) several complementary methods for checking the results’ robustness.
The latter topic is covered in much greater detail in the second article titled “Structural model robustness checks in PLS-SEM,” which has just been published in Tourism Economics. Authored by Marko Sarstedt (OVGU), Christian M. Ringle (Hamburg University of Technology), Jun-Hwa Cheah (Univetrsiti Putra Malaysia), Hiram Ting (UCSI University), Ovidiu I. Moisescu (Babes-Bolyai University), and Lacramioara Radomir (Babes-Bolyai University), the article illustrates the use of recent advances in PLS-SEM, designed to ensure structural model results’ robustness in terms of nonlinear effects, endogeneity, and unobserved heterogeneity in a PLS-SEM framework.
For more information:
Nach der Auszeichnung mit dem Forschungspreis der Otto-von-Guericke Universität und der Aufnahme in die Liste der weltweit einflussreichsten Forschern freut sich der Lehrstuhl für Marketing zusammen mit Prof. Dr. Sarstedt über eine Auszeichnung in der deutschen Zeitschrift die WirtschaftsWoche.
Prof. Dr. Sarstedt schafft es in dem Ökonomenranking der WiWo auf Platz 25 der forschungsstärksten Betriebswirte unter 40 Jahren.
Hier geht es zum vollständigen Artikel der WiWo Nr.4 vom 18.01.2019.
In der "Highly Cited Researchers Liste 2018" von Clarivate Analytics werden mehr als 6.000 Forscherinnen und Forscher aus über 60 Ländern gelistet, die für Ihre herausragende Forschungsarbeit ausgewählt wurden. Darunter befinden sich 356 aus Deutschland und 17 Nobelpreisträgerinnen und träger.
Prof. Dr. Marko Sarstedt ist einer von 96 internationalen Wirtschaftswissenschaftlern, die es in die Liste „Highly Cited Researchers 2018“ geschafft haben und nur 4 von Ihnen stammen aus Deutschland. Ausschlaggebend für die Aufnahme ist die Vielzahl von Zitationen seiner wissenschaftlichen Veröffentlichungen in den letzten Jahren. Er gehört damit zu den weltweit einflussreichsten Ökonomen.
Erfreut äußerte sich Prof. Dr. Sarstedt: „Das ist eine große Anerkennung für meine Arbeit und die der Fakultät der Uni Magdeburg. Unsere Forschungsarbeiten sind stark interdisziplinär ausgerichtet und finden damit nicht nur in den Wirtschaftswissenschaften, sondern auch in anderen Disziplinen wie Ingenieurwissenschaften, Medizin und Psychologie breite Anwendung. Gleichzeitig arbeiten wir in unserem Forschungsschwerpunkt Consumer Research eng mit Unternehmen zusammen, um Lösungen für die Praxis zu erarbeiten.“
Sehen Sie auch Prof. Dr. Marko Sarstedt's Profil bei Highly Cited Researchers.
Clarivate Analytics' "Highly Cited Researchers List 2018" lists more than 6,000 researchers from over 60 countries who have been selected for their outstanding research work. Among them are 356 from Germany and 17 Nobel Prize winners.
Prof. Dr. Marko Sarstedt is one of 96 international economists who made it into the list of "Highly Cited Researchers 2018" and only 4 of them originate in Germany. Decisive for the nomination is the multiplicity of citations of his scientific publications in recent years. His research therefore positions him among the world's most influential economists.
Welcoming his nomination, Prof. Dr. Sarstedt expressed great gratitude: "This is a great recognition of my work and that of the faculty of the University of Magdeburg. Our research work has a strong interdisciplinary orientation and is therefore widely applied not only in economics but also in other disciplines such as engineering, medicine and psychology. At the same time, within our research focus Consumer Research, we work closely with companies to develop practical solutions.
See also Prof. Dr. Marko Sarstedt's profile at Highly Cited Researchers.
Forschungspreisgewinner 2018: Prof. Dr. Marko Sarstedt
Der Lehrstuhl für Marketing freut sich Ihnen mitteilen zu können, dass Prof. Dr. Marko Sarstedt mit dem Forschungspreis 2018 der Otto-von-Guericke Universität Magdeburg ausgezeichnet wurde.
Sehen Sie hier außerdem das Einstiegsvideo zur aktuellen Forschung im Fachbereich Marketing von Herrn Sarstedt:
The Chair of Marketing proudly announces that Prof. Dr. Marko Sarstedt was honored with the Research Award 2018 of the Otto-von-Guericke University Magdeburg.
Here you can also see the introductory video of Mr. Sarstedt's current research in the field of marketing:
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.
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:
Publications Link http://journals.ama.org/doi/abs/10.1509/jmr.14.0482
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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!
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
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.
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.
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.
For an interview with Marko Sarstedt in the Clarivate Analytics Science Research Connect blog:
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
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
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
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.
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.
New paper "Examining the Role of Psychological Ownership and Feedback in Customer Empowerment Strategies"
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.
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.
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.
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.
Meist zitierter Artikel des JMTP von Hair, Ringle und Sarstedt / Most cited JMTP article by Hair, Ringle and Sarstedt
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.
The Journal of Marketing Theory and Practice (JMTP) just published a special issue summarizing their Top 20 cited articles of the last decade. Thereby, it is a great pleasure to see that the article "PLS-SEM: Indeed a Silver Bullet" by Joe F. Hair, Christian M. Ringle and Marko Sarstedt is with 1,789 Google Scholar citations the most cited JMTP article of all time. Please find the article and further information here.
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:
• An overview of the latest research on composite-based modeling (e.g., distinction between composite and causal indicators), which is the conceptual foundation for PLS-SEM.
• Consideration of the recent discussion of PLS-SEM as a composite-based method to SEM.
• More on the distinction between PLS-SEM and CB-SEM and the model constellations, which favor the use of PLS-SEM.
• Introduction of a new criterion for discriminant validity assessment: the heterotrait-monotrait (HTMT) ratio of correlations.
• In-depth discussion of the concept of model fit in a PLS-SEM context including an introduction of the following model fit measures: standardized root mean square residual (SRMR), root mean square residual covariance (RMStheta), and the exact fit test.
• Introduction of several methods for constructing bootstrap confidence intervals: percentile, studentized, bias-corrected and accelerated, and two double bootstrap methods.
• Revision and extension of the chapter on mediation, which now covers more types of mediation, including multiple mediation.
• Extended description of moderation (e.g., orthogonalizing approach for creating the interaction term, measurement model evaluation).
• Inclusion of moderated mediation and mediated moderation.
• Brief introduction of advanced techniques: importance-performance map analysis, hierarchical component models, confirmatory tetrad analysis, multigroup analysis, latent class techniques (FIMIX-PLS, REBUS-PLS, PLS-POS, PLS-GAS, PLS-IRRS), measurement invariance testing in PLS-SEM (MICOM), and consistent PLS.
• Consideration of the latest literature on PLS-SEM.
The second edition has just been released in the US and will soon be available in Europe. Further information: https://uk.sagepub.com/en-gb/eur/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583%20#description
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.
In this paper, the authors show that the compromise effect, which ranks among the most prominent context effects in research, is robust in terms of durable goods when using real branded products, including real payments, the possibility of a pre-choice evaluation, and no-buy options. The results of a comparative analysis based on previous studies’ effect sizes suggest that, compared to decisions on fast-moving consumer goods (FMCG), the amount of cognitive effort spent on decisions regarding durables fosters the compromise effect.
A second study supports this notion by showing that, regarding choices between durables, the compromise effect diminishes under a serotonin-deficiency-induced cognitive impairment, but its decrease is not as pronounced as with FMCG.
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.
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.
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.
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.
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.
In their paper, the authors study how serotonin brain levels influence (1) subjects’ tendency to avoid buying, and (2) their preference for product options that are positioned as a compromise in a given choice set rather than for more extreme alternatives (i.e., the compromise effect). The results show that a reduction of serotonin brain levels leads to choice deferral and eliminates the compromise effect, both as a within-subjects and as a between-subjects choice phenomenon. As such, this study provides neurobiological evidence for the assumption that the compromise effect is the result of deliberate and demanding thought processes rather than intuitive decision-making. For more information, please click here.
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: