Conditional Mediation (CoMe) Models with PLS-SEM: An Update,Review,and Best-Practice Recommendations

Abstract

Partial least squares structural equation modeling (PLS-SEM) has gained prominence across disciplines for evaluating structural relationships among latent variables. Despite its widespread use, the application of conditional mediation (CoMe) modeling remains underutilized. This paper addresses this gap by offering a comprehensive guide on implementing CoMe models using PLS-SEM. We outline the conceptual foundations of CoMe, present a detailed step-by-step analytical procedure to apply CoMe, and provide practical interpretation guidelines. A case study of luxury counterfeit purchases illustrates the application of CoMe and demonstrates its enhanced ability to uncover complex relational dynamics. Additionally, we propose best-practice guidelines for researchers employing CoMe within PLS-SEM. By highlighting the value of CoMe in generating nuanced theoretical insights, this paper aims to encourage its wider adoption in empirical research accross disciplines.

Keywords

partial least squares structural equation modeling (PLS-SEM)conditional mediation (CoMe)moderated mediation multi-group analysis (MGA)continuous variable moderation categorical variable moderation

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References

Aguinis

Edwards

J. R.

Bradley

K. J.

(2017). Improving our understanding of moderation and mediation in strategic management research. Organizational Research Methods, 20(4), 665–685.

Ajzen

(1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Basco

Hair

J. F.

Ringle

C. M.

Sarstedt

(2022). Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression. Journal of Family Business Strategy, 13(3), Article 100457.

Bearden

W. O.

Money

R. B.

Nevins

J. L.

(2006). A measure of long-term orientation: Development and validation. Journal of the Academy of Marketing Science, 34(3), 456–467.

Becker

Cheah

Gholamzade

Ringle

C. M.

Sarstedt

(2023). PLS-SEM’s most wanted guidance. International Journal of Contemporary Hospitality Management, 35(1), 321–346, https://doi.org/10.1108/IJCHM-04-2022-0474

Bian

Veloutsou

(2007). Consumers’ attitudes regarding non-deceptive counterfeit brands in the UK and China. Journal of Brand Management, 14(3), 211–222.

Brandtzaeg

P. B.

(2017). Facebook is no “Great Equalizer”: A big data approach to gender differences in civic engagement across countries. Social Science Computer Review, 35(1), 103–125.

Butterfield

K. D.

Treviño

L. K.

Weaver

G. R.

(2000). Moral awareness in business organizations: Influences of issue-related and social context factors. Human Relations, 53(7), 981–1018.

Cepeda

Nitzl

Roldán

J. L.

(2017). Mediation analyses in partial least squares structural equation modeling: Guidelines and empirical examples.In Latan

Noonan

(Eds.), Partial least squares path modeling: Basic concepts, methodological issues and applications (pp. 173–195). Springer.

10.

Cepeda

Roldán

J. L.

Sabol

Hair

Chong

A. Y. L.

(2024). Emerging opportunities for information systems researchers to expand their PLS-SEM analytical toolbox. Industrial Management & Data Systems, 124(6), 2230–2250.

11.

Cheah

J. -H.

Nitzl

Roldan

J. L.

Cepeda-Carrion

Gudergan

S. P.

(2021). A primer on the conditional mediation analysis in PLS-SEM. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 52(SI), 43–100.

12.

Chen

Teng

Liao

(2018). Counterfeit luxuries: Does moral reasoning strategy influence consumers’ pursuit of counterfeits? Journal of Business Ethics, 151, 249–264.

13.

Cialdini

R. B.

Goldstein

N. J.

(2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55, 591–621.

14.

Ciavolino

Aria

Cheah

J.-H.

Roldan

J. L.

(2022). A tale of PLS structural equation modelling: Episode I: A bibliometrix citation analysis. Social Indicators Research, 164(4), 1323–1348.

15.

Cleveland

Bartsch

Sharma

(2016). Identity, culture, dispositions and behavior: A cross-national examination of global consumer segments. European Journal of Marketing, 50(5/6), 819–843.

16.

CMO Survey. (2023). The CMO Survey: Highlights and Insights Report (February 2023). Duke University, Deloitte LLP, and the American Marketing Association. https://cmosurvey.org/results/february-2023/

17.

Dash

Paul

(2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, Article 121092.

18.

Dessart

Veloutsou

Morgan-Thomas

(2015). Consumer engagement in online brand communities: A social media perspective. Journal of Product & Brand Management, 24(1), 28–42.

19.

Dijkstra

T. K.

Henseler

(2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316.

20.

Dolbec

P.-Y.

Castilhos

R. B.

Firat

A. F.

(2021). How digital activism affects market evolution. Journal of Marketing, 85(4), 32–49.

21.

Edwards

J. R.

Lambert

L. S.

(2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12(1), 1–22.

22.

Eisend

(2019). Morality effects and consumer responses to counterfeit and pirated products: A meta-analysis. Journal of Business Ethics, 154, 301–323.

23.

Eveland

V. B.

Crutchfield

T. N.

Tsang

R. C.

Sabol

M. A.

(2024). Using PLS-SEM to test the relationship model of corporate social performance across the product/service continuum: When do shared values matter? Journal of Retailing and Consumer Services, 79, Article 103873.

24.

Gilligan

(1977). In a different voice: Women’s conceptions of self and of morality. Harvard Educational Review, 47(4), 481–517.

25.

Gilligan

(1982). In a different voice: Psychological theory and women's development. Harvard University Press.

26.

Hair

J. F.

Black

W. C.

Babin

B. J.

Anderson

R. E.

(2019). Multivariate data analysis (8th ed.). Cengage.

27.

Hair

J. F.

Howard

M. C.

Nitzl

(2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.

28.

Hair

J. F.

Hult

G. T. M.

Ringle

C. M.

Sarstedt

(2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.

29.

Hair

J. F.

Risher

Sarstedt

Ringle

(2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

30.

Hair

J. F.

Sarstedt

Hopkins

Kuppelwieser

V. G.

(2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121.

31.

Hair

J. F.

Sarstedt

Ringle

C. M.

Gudergan

S. P.

(2024). Advanced issues in partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.

32.

Hair

J. F.

Sarstedt

Ringle

C. M.

Mena

J. A.

(2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.

33.

Hayes

A. F.

(2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.

34.

Hayes

A. F.

(2018). Partial, conditional, and moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85(1), 4–40.

35.

Harris

(2020). The impact of COVID-19 pandemic on corporate social responsibility and marketing philosophy. Journal of Business Research, 116, 176–182.

36.

Henseler

Ringle

C. M.

Sarstedt

(2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

37.

Herjanto

Bagozzi

R. P.

Gaur

S. S.

(2021). The role of shame and virtues in the self-regulation of decisions to engage in digital piracy. Australasian Marketing Journal, 29(1), 15–28.

38.

Hill

R. P.

(2002). Compassionate love, agape, and altruism: A new framework for understanding and supporting impoverished consumers. Journal of Macromarketing, 22(1), 19–31.

39.

Hult

G. T. M.

Hair

J. F.

Proksch

Sarstedt

Pinkwart

Ringle

C. M.

(2018). Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. Journal of International Marketing, 26(3), 1–21.

40.

Islam

M. S.

Hair

J. F.

Murshed

Howard

M. C.

Gillis

Istiak

(2026). Luxury brand counterfeiting: The role of enforcement activism and brand passion. Journal of Marketing Theory & Practice, 34(1), 288–308

41.

Jaffee

Hyde

J. S.

(2000). Gender differences in moral orientation: A meta-analysis. Psychological Bulletin, 126(5), 703–726.

42.

Johnstone

Lindh

(2018). The sustainability-age dilemma: A theory of (un)planned behaviour via influencers. Journal of Consumer Behavior, 17(1), 127–139.

43.

Kennedy

J. A.

Kray

L. J.

. (2017). A social-cognitive approach to understanding gender differences in negotiator ethics: The role of moral identity. Organizational Behavior and Human Decision Processes, 138, 28–44.

44.

Kim

Johnson

K. K. P.

(2016). Power of consumers using social media: Examining the influences of brand-related user-generated content on Facebook. Computers in Human Behavior, 58, 98–108.

45.

Kock

(2015). One-tailed or two-tailed P values in PLS-SEM? International Journal of e-Collaboration (IJeC), 11(2), 1–7.

46.

Kraus

M. W.

Piff

P. K.

Mendoza-Denton

Rheinschmidt

M. L.

Keltner

(2012). Social class, solipsism, and contextualism: How the rich are different from the poor. Psychological Review, 119(3), 546–572.

47.

Latan

Hair

J. F.

Jr. Noonan

Sabol

(2023). Introduction to the partial least squares path modeling: Basic concepts and recent methodological enhancements.In Latan

Hair

J. F.

Noonan

(Eds.), Partial least squares path modeling: Basic concepts, methodological issues and applications (pp. 3–21). Springer International Publishing.

48.

Lee

M. S.

Motion

Conroy

(2023). Anti-consumption and brand avoidance in hashtag activism. Journal of Consumer Research, 50(1), 123–145.

49.

Legate

A. E.

Hair

J. F.

Chretien

J. L.

Risher

J. J.

(2023). PLS-SEM: Prediction-oriented solutions for HRD researchers. Human Resource Development Quarterly, 34(1), 91–109. https://onlinelibrary.wiley.com/doi/10.1002/hrdq.21466.

50.

Legate

A. E.

Ringle

Hair

J.F.

(2024). Conducting PLS-SEM mediation analysis: A method demonstration in the R statistical environment. Human Resources Development Quarterly, 35(4), 501–525.

51.

Liengaard

B. D.

(2024). Measurement invariance testing in partial least squares structural equation modeling. Journal of Business Research, 177, Article 114581. https://doi.org/10.1016/j.jbusres.2024.114581

52.

Liengaard

B. D.

Sharma

P. N.

Hult

G. T. M.

Jensen

M. B.

Sarstedt

Hair

J. F.

Ringle

C. M.

(2021). Prediction: Coveted, yet forsaken? Introducing a cross-validated predictive ability test in partial least squares path modeling. Decision Sciences, 52(2), 362–392.

53.

Lim

P. K.

Koay

K. Y.

Chong

W. Y.

(2021). The effects of abusive supervision, emotional exhaustion and organizational commitment on cyberloafing: A moderated-mediation examination. Internet Research, 31(2), 497–518. https://doi.org/10.1108/INTR-03-2020-0165

54.

Liu

Wakeman

S.W.

Norton

(2024). The egalitarian value of counterfeit goods: Purchasing counterfeit luxury goods to address income inequality. Journal of Consumer Psychology, 35(2), 269–280.

55.

Lynch

J. G.

Netzer

Toubia

(2022). Mechanistic and organic marketing: A new synthesis. Journal of Consumer Research, 49(2), 227–250.

56.

MacInnis

D. J.

Morwitz

V. G.

Botti

(2020). The role of situational factors in consumer behavior. International Journal of Research in Marketing, 37(4), 629–651.

57.

Manley

S. C.

Hair

J. F.

Williams

R. I.

McDowell

W. C.

(2021). Essential new PLS-SEM analysis methods for your entrepreneurship analytical toolbox. International Entrepreneurship and Management Journal, 17(1), 1–21.

58.

Martinez

L. F.

Jaeger

D. S.

(2016). Ethical decision making in counterfeit purchase situations: The influence of moral awareness and moral emotions on moral judgment and purchase intentions. Journal of Consumer Marketing, 33(3), 213–223.

59.

Muller

Judd

C. M.

Yzerbyt

V. Y.

(2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 852–863.

60.

Muncy

J. A.

Vitell

S. J.

(1992). Consumer ethics: An investigation of the ethical beliefs of the final consumer. Journal of Business Research, 24(3), 297–311.

61.

Nekmat

Gower

K. K.

Gonzenbach

W. J.

Flanagin

A. J.

(2015). Source effects in the micro-mobilization of collective action via social media. Information, Communication, & Society, 18(9), 1076–1091.

62.

Nguyen

Simkin

Canhoto

A. I.

(2020). The dark side of digital personalization: An agenda for research and practice. Journal of Business Research, 116, 209–221.

63.

OECD and EUIPO. (2022). Trade in counterfeit goods and free trade zones: Evidence from recent trends. OECD Publishing.

64.

Papacharissi

(2010). A private sphere: Democracy in a digital age. Polity Press.

65.

Preacher

K. J.

Rucker

D. D.

Hayes

A. F.

(2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185–227.

66.

Reed

Forehand

M. R.

Puntoni

Warlop

(2012). Identity-based consumer behavior. International Journal of Research in Marketing, 29(4), 310–321.

67.

Rest

(1986). Moral development: Advances in research and theory. Praeger.

68.

Reynolds

S. J.

(2006). A neurocognitive model of the ethical decision-making process: Implications for study and practice. Journal of Applied Psychology, 91(4), 737–748.

69.

Riggs

Felipe

C. M.

Roldán

J. L.

Real

J. C.

(2024). Information systems capabilities value creation through circular economy practices in uncertain environments: A conditional mediation model. Journal of Business Research, 175, Article 114526. https://doi.org/10.1016/j.jbusres.2024.114526

70.

Ringle

C. M.

Wende

Becker

J.-M.

(2022). SmartPLS 4. Bönningstedt: SmartPLS. https://www.smartpls.com

71.

Sabol

Hair

J. F.

Cepeda

Roldan

Chong

(2023). PLS-SEM in information systems: Seizing the opportunity and marching ahead full speed to adopt methodological updates. Industrial Management & Data Systems, 123(12), 2997–3017.

72.

Sarstedt

Hair

J. F.

Cheah

J-H.

Becker

J.-M.

Ringle

C. M.

(2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211.

73.

Sarstedt

Hair

J. F.

Nitzl

Ringle

C. M.

Howard

(2020), Beyond a tandem analysis of SEM and PROCESS: Use PLS- SEM for mediation analyses. International Journal of Market Research, 62(3), 288–299.

74.

Sarstedt

Henseler

Ringle

C. M.

(2011). Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 22, 195–218.

75.

Schouten

A. P.

Janssen

Verspaget

(2022). Celebrity vs. influencer endorsements in advertising: The role of identification, credibility, and product-endorser fit. International Journal of Advertising, 41(2), 308–337.

76.

Schwartz

S. H.

(1977). Normative influences on altruism. In In Berkowitz

(Ed.), Advances in experimental social psychology (Vol. 10, pp. 221–279). Academic Press.

77.

Sharma

Chan

R. Y. K.

(2017). Exploring the role of attitudinal functions in counterfeit purchase behavior via an extended conceptual framework. Psychology & Marketing, 34(3), 294–308.

78.

Sharma

P. N.

Liengaard

B. D.

Hair

J. F.

Sarstedt

Ringle

C. M.

(2023). Predictive Model Assessment and Selection in Composite-based Modeling Using PLS-SEM: Extensions and Guidelines for Using CVPAT, European Journal of Marketing, 57, 1662–1677.

79.

Shmueli

Sarstedt

Hair

J. F.

Cheah

J. -H.

Ting

Vaithilingam

Ringle

C. M.

(2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347.

80.

Staake

Thiesse

Fleisch

(2009). The emergence of counterfeit trade: A literature review. European Journal of Marketing, 43(3/4), 320–349.

81.

Stanley

M. L.

Dougherty

A. M.

Yang

B. W.

Henne

De Brigard

(2018). Reasons probably won’t change your mind: The role of reasons in revising moral decisions. Journal of Experimental Psychology, 147, 962–987.

82.

Steenkamp

J. B. E. M.

de Jong

M. G.

(2010). A global investigation into the constellation of consumer attitudes toward global and local products. Journal of Marketing, 74(6), 18–40.

83.

Tajfel

Turner

J. C.

(1986). The social identity theory of intergroup behavior. In Worchel

Austin

W. G.

(Eds.), Psychology of intergroup relations (pp. 7–24). Nelson-Hall.

84.

Van Knippenberg

. (2020). Meaning-based leadership. Organizational Psychology Review, 10(1), 3–26.

85.

Vitell

S. J.

King

R. A.

Howie

Toti

J. F.

Albert

Hidalgo

E. R.

Yacout

(2016). Spirituality, moral identity, and consumer ethics: A multi-cultural study. Journal of Business Ethics, 139(1), 147–160.

86.

Wang

Fesenmaier

D. R.

(2021). Transforming the travel experience: The use of social media and co-creation. Journal of Travel Research, 60(1), 68–82.

87.

Wilcox

Kim

H. M.

Sen

(2009). Why do consumers buy counterfeit luxury brands? Journal of Marketing Research, 46(2), 247–259.

88.

Winton

B. G.

Sabol

M. A.

(2022). A multi-group analysis of convenience samples: Free, cheap, friendly, and fancy sources. International Journal of Social Research Methodology, 25(6), 861–876.