IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v11y2023i4d10.1057_s41270-022-00181-8.html
   My bibliography  Save this article

Psycho-managerial text mining (PMTM): a framework for developing and validating psychological/managerial constructs from a theory/text-driven approach

Author

Listed:
  • Jorge Iván Pérez Rave

    (Universidad Nacional de Colombia
    IDINNOV S.A.S.)

  • Gloria Patricia Jaramillo Álvarez

    (Universidad Nacional de Colombia)

  • Juan Carlos Correa Morales

    (Universidad Nacional de Colombia)

Abstract

This paper addresses two concerns in the construction and validation of psychological/managerial constructs from texts: (1) The procedure for studying content validity is mainly based on human tasks, subjectivity, limited to small data, and difficult to reproduce/replicate; (2) Traditional latent variable representation (a merged list or random parcel of words) lacks theoretical rationality and does not guarantee the representativity of valuable qualities, perceptual entities, and actions of the construct. The paper proposes a framework—PMTM—for developing/validating measures of psychological/managerial constructs from texts (three stages and 16 steps) by incorporating linguistic, psychometrical, and computational resources. PMTM includes five new properties to guide content validity analysis automatically, and contains a new method for refining dictionaries, entitled “embedded voting,” which emulates expert judgments. In addition, the paper provides empirical evidence derived from the application of PMTM to the case of transformational leadership using data from organizational documents, interviews, essays, blog posts, surveys, and speeches by former US presidents. The framework can also be used as a comprehensive template with the potential to exploit customer/service texts from a theory/text-driven approach to overcome recent challenges stated by the marketing literature, including the lack of standardization and inconsistency in the definitions and measurement of marketing constructs.

Suggested Citation

  • Jorge Iván Pérez Rave & Gloria Patricia Jaramillo Álvarez & Juan Carlos Correa Morales, 2023. "Psycho-managerial text mining (PMTM): a framework for developing and validating psychological/managerial constructs from a theory/text-driven approach," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 777-808, December.
    • Handle: RePEc:pal:jmarka:v:11:y:2023:i:4:d:10.1057_s41270-022-00181-8
    DOI: 10.1057/s41270-022-00181-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-022-00181-8
    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/s41270-022-00181-8?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Lina Zhou & Dongsong Zhang, 2003. "NLPIR: A theoretical framework for applying natural language processing to information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(2), pages 115-123, January.
    2. Annette Ptok & Rupinder P. Jindal & Werner J. Reinartz, 2018. "Correction to: selling, general, and administrative expense (SGA)-based metrics in marketing: conceptual and measurement challenges," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1012-1013, November.
    3. Timo Lorenz & Kathrin Heinitz & Clemens Beer & Marianne van Woerkom, 2021. "Adaptation and validation of a German version of the Strengths Use and Deficit Correction (SUDCO) questionnaire," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-18, January.
    4. Jorge Iván Pérez-Rave & Juan Carlos Correa-Morales & Favián González-Echavarría, 2019. "A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes," Journal of Property Research, Taylor & Francis Journals, vol. 36(1), pages 59-96, January.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    6. Dennis F. X. Mathaisel & Clare L. Comm, 2021. "Political marketing with data analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(1), pages 56-64, March.
    7. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
    8. Lars Bergkvist & Martin Eisend, 2021. "The dynamic nature of marketing constructs," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 521-541, May.
    Full references (including those not matched with items on IDEAS)

    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. Jorge Iván Pérez Rave & Gloria Patricia Jaramillo Álvarez & Juan Carlos Correa Morales, 2022. "Multi-criteria decision-making leveraged by text analytics and interviews with strategists," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 30-49, March.
    2. Sonia Nawrocka & Hans De Witte & Margherita Pasini & Margherita Brondino, 2023. "A Person-Centered Approach to Job Insecurity: Is There a Reciprocal Relationship between the Quantitative and Qualitative Dimensions of Job Insecurity?," IJERPH, MDPI, vol. 20(7), pages 1-27, March.
    3. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    4. Masashi Soga & Kevin J. Gaston & Yuichi Yamaura & Kiyo Kurisu & Keisuke Hanaki, 2016. "Both Direct and Vicarious Experiences of Nature Affect Children’s Willingness to Conserve Biodiversity," IJERPH, MDPI, vol. 13(6), pages 1-12, May.
    5. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    6. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    7. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    8. Nathaniel Oliver Iotti & Damiano Menin & Tomas Jungert, 2022. "Early Adolescents’ Motivations to Defend Victims of Cyberbullying," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    9. AJ Golio, 2024. "Whose Neighborhood Now? Gentrification and Community Life in Low-Income Urban Neighborhoods," Working Papers 24-29, Center for Economic Studies, U.S. Census Bureau.
    10. Peter Tavel & Bibiana Jozefiakova & Peter Telicak & Jana Furstova & Michal Puza & Natalia Kascakova, 2022. "Psychometric Analysis of the Shortened Version of the Spiritual Well-Being Scale on the Slovak Population (SWBS-Sk)," IJERPH, MDPI, vol. 19(1), pages 1-12, January.
    11. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    12. Katharina Groskurth & Constanze Beierlein & Désirée Nießen & Anna Baumert & Beatrice Rammstedt & Clemens M Lechner, 2023. "An English-Language adaptation and validation of the Justice Sensitivity Short Scales–8 (JSS-8)," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-22, November.
    13. Christoph Dworschak, 2024. "Bias mitigation in empirical peace and conflict studies: A short primer on posttreatment variables," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(3), pages 462-476, May.
    14. Andreea-Ionela Puiu & Anca Monica Ardeleanu & Camelia Cojocaru & Anca Bratu, 2021. "Exploring the Effect of Status Quo, Innovativeness, and Involvement Tendencies on Luxury Fashion Innovations: The Mediation Role of Status Consumption," Mathematics, MDPI, vol. 9(9), pages 1-18, May.
    15. Slupphaug, KJell & Mehmetoglu, Mehmet & Mittner, Matthias, 2024. "modsem: An R package for estimating latent interactions and quadratic effects," OSF Preprints h3rpw, Center for Open Science.
    16. Andres Trujillo-Barrera & Joost M. E. Pennings & Dianne Hofenk, 2016. "Understanding producers' motives for adopting sustainable practices: the role of expected rewards, risk perception and risk tolerance," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 359-382.
    17. Daria J. Kuss & Lydia Harkin & Eiman Kanjo & Joel Billieux, 2018. "Problematic Smartphone Use: Investigating Contemporary Experiences Using a Convergent Design," IJERPH, MDPI, vol. 15(1), pages 1-16, January.
    18. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    19. Cloarec, Julien, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Journal of Business Research, Elsevier, vol. 152(C), pages 144-153.
    20. Merkle, Edgar C. & Steyvers, Mark & Mellers, Barbara & Tetlock, Philip E., 2017. "A neglected dimension of good forecasting judgment: The questions we choose also matter," International Journal of Forecasting, Elsevier, vol. 33(4), pages 817-832.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:11:y:2023:i:4:d:10.1057_s41270-022-00181-8. 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.