IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v12y2024i4d10.1057_s41270-024-00325-y.html
   My bibliography  Save this article

Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial

Author

Listed:
  • Marko Sarstedt

    (Ludwig-Maximilians-University Munich
    Babeş-Bolyai University)

  • Nicole F. Richter

    (University of Southern Denmark)

  • Sven Hauff

    (Helmut Schmidt University)

  • Christian M. Ringle

    (Hamburg University of Technology
    James Cook University)

Abstract

Recent research on partial least squares structural equation modeling (PLS–SEM) extended the classic importance–performance map analysis (IPMA) by taking the results of a necessary condition analysis (NCA) into consideration. By also highlighting necessary conditions, the combined importance–performance map analysis (cIPMA) offers a tool that enables better prioritization of management actions to improve a key target construct. In this article, we showcase a cIPMA’s main steps when using the SmartPLS 4 software. Our illustration draws on the technology acceptance model (TAM) used in the cIPMA’s original publication, which features prominently in business research.

Suggested Citation

  • Marko Sarstedt & Nicole F. Richter & Sven Hauff & Christian M. Ringle, 2024. "Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 746-760, December.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:4:d:10.1057_s41270-024-00325-y
    DOI: 10.1057/s41270-024-00325-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-024-00325-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41270-024-00325-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dul, Jan, 2024. "A different causal perspective with Necessary Condition Analysis," Journal of Business Research, Elsevier, vol. 177(C).
    2. Richter, Nicole Franziska & Tudoran, Ana Alina, 2024. "Elevating theoretical insight and predictive accuracy in business research: Combining PLS-SEM and selected machine learning algorithms," Journal of Business Research, Elsevier, vol. 173(C).
    3. Richter, Nicole Franziska & Hauff, Sven, 2022. "Necessary conditions in international business research–Advancing the field with a new perspective on causality and data analysis," Journal of World Business, Elsevier, vol. 57(5).
    4. Saari, Ulla A. & Damberg, Svenja & Frömbling, Lena & Ringle, Christian M., 2021. "Sustainable consumption behavior of Europeans: The influence of environmental knowledge and risk perception on environmental concern and behavioral intention," Ecological Economics, Elsevier, vol. 189(C).
    5. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    6. Pinaz Tiwari & Rahul Pratap Singh Kaurav & Kian Yeik Koay, 2024. "Understanding travel apps usage intention: findings from PLS and NCA," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 25-41, March.
    7. Nicole F. Richter & Sven Hauff & Christian M. Ringle & Siegfried P. Gudergan, 2022. "The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research," Management International Review, Springer, vol. 62(4), pages 449-470, August.
    8. Svenja Damberg & Manfred Schwaiger & Christian M. Ringle, 2022. "What’s important for relationship management? The mediating roles of relational trust and satisfaction for loyalty of cooperative banks’ customers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 3-18, March.
    9. Marko Sarstedt & Yide Liu, 2024. "Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM)," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 1-5, March.
    10. Sever, Ivan, 2015. "Importance-performance analysis: A valid management tool?," Tourism Management, Elsevier, vol. 48(C), pages 43-53.
    11. Marko Sarstedt & Jun-Hwa Cheah, 2019. "Partial least squares structural equation modeling using SmartPLS: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 196-202, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hanadi Salhab & Munif Zoubi & Laith T. Khrais & Huda Estaitia & Lana Harb & Almotasem Al Huniti & Amer Morshed, 2025. "AI-Driven Sustainable Marketing in Gulf Cooperation Council Retail: Advancing SDGs Through Smart Channels," Administrative Sciences, MDPI, vol. 15(1), pages 1-25, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hauff, Sven & Richter, Nicole Franziska & Sarstedt, Marko & Ringle, Christian M., 2024. "Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA)," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    2. Marko Sarstedt & Yide Liu, 2024. "Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM)," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 1-5, March.
    3. Wang, Siqi & Cheah, Jun-Hwa & Lim, Xin-Jean & Leong, Yee Choy & Choo, Wei Chong, 2022. "Thanks COVID-19, I'll reconsider my purchase: Can fear appeal reduce online shopping cart abandonment?," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Cassia, Fabio & Magno, Francesca, 2024. "The value of self-determination theory in marketing studies: Insights from the application of PLS-SEM and NCA to anti-food waste apps," Journal of Business Research, Elsevier, vol. 172(C).
    5. Jae-Jang Yang & Rajesh Iyer & Yong-Ki Lee, 2022. "Why Do Local Foodscapes Matter in Building Tourist Trust and Loyalty?," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    6. Magno, Francesca & Cassia, Fabio, 2024. "Predicting restaurants’ surplus food platform continuance: Insights from the combined use of PLS-SEM and NCA and predictive model comparisons," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    7. Sakib, Md Nazmus & Hasan, Fuad & Al-Emran, Md & Felix, Reto, 2023. "A cross-cultural analysis of ridesharing intentions and compliance with COVID-19 health guidelines: The roles of social trust, fear of COVID-19, and trust-in-God," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    8. Richter, Nicole Franziska & Tudoran, Ana Alina, 2024. "Elevating theoretical insight and predictive accuracy in business research: Combining PLS-SEM and selected machine learning algorithms," Journal of Business Research, Elsevier, vol. 173(C).
    9. Vaithilingam, Santha & Ong, Chu Sun & Moisescu, Ovidiu I. & Nair, Mahendhiran S., 2024. "Robustness checks in PLS-SEM: A review of recent practices and recommendations for future applications in business research," Journal of Business Research, Elsevier, vol. 173(C).
    10. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    11. Svenja Damberg & Yide Liu & Christian M. Ringle, 2024. "Does culture matter? Corporate reputation and sustainable satisfaction in the Chinese and German banking sector," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 6-24, March.
    12. Olawole Fawehinmi & Mohd Yusoff Yusliza & Samuel Ogbeibu & M. Imran Tanveer & Charbel Jose Chiappetta Jabbour, 2022. "Academic employees' green behaviour as praxis for bolstering environmental sustainable development: A linear moderated mediation evaluation," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3470-3490, November.
    13. Cheah, Jun-Hwa & Waller, David & Thaichon, Park & Ting, Hiram & Lim, Xin-Jean, 2020. "Price image and the sugrophobia effect on luxury retail purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    14. Md. Sharif Hassan & Md. Aminul Islam & A. B. M. Abdullah & Hussen Nasir, 2024. "End-user perspectives on fintech services adoption in the Bangladesh insurance industry: the moderating role of trust," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1377-1395, December.
    15. Nicole F. Richter & Sven Hauff & Christian M. Ringle & Siegfried P. Gudergan, 2022. "The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research," Management International Review, Springer, vol. 62(4), pages 449-470, August.
    16. Bryan Cheng-Yu Hsu & Yu-Feng Wu & Hsin-Wei Chen & Man-Lai Cheung, 2020. "How Sport Tourism Event Image Fit Enhances Residents’ Perceptions of Place Image and Their Quality of Life," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    17. RUS Adina-Viorica & BUCUR Louisa-Maria, 2024. "The Socio-Economic-Environmental Triangle: Quantitative Analysis of Interdependencies in European Union," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    18. Keen, Christian & Lescop, Denis & Sanchez-Famoso, Valeriano, 2022. "Does coopetition support SMEs in turbulent contexts?," Economics Letters, Elsevier, vol. 218(C).
    19. Faustine Régnier & Anne-Laure Dalstein & Clémence Rouballay & Louis Chauvel, 2022. "Eating in Season—A Lever of Sustainability? An Interview Study on the Social Perception of Seasonal Consumption," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    20. Lin, Zhibin & Vlachos, Ilias, 2018. "An advanced analytical framework for improving customer satisfaction: A case of air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 185-195.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jmarka:v:12:y:2024:i:4:d:10.1057_s41270-024-00325-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.