IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v31y1983i1p128-176.html
   My bibliography  Save this article

A Holistic Methodology for Modeling Consumer Response to Innovation

Author

Listed:
  • Richard P. Bagozzi

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

A general structural equation model for representing consumer response to innovation is derived and illustrated. The approach both complements and extends an earlier model proposed by Hauser and Urban. Among other benefits, the model is able to take measurement error into account explicitly, to estimate the intercorrelation among exogenous factors if these exist, to yield a unique solution in a statistical sense, and to test complex hypotheses (e.g., systems of relations, simultaneity, feedback) associated with the measurement of consumer responses and their impact on actual choice behavior. In addition, the procedures permit one to model environmental and managerially controllable stimuli as they constrain and influence consumer choice. Limitations of the procedures are discussed and related to existing approaches. Included in the discussion is a development of four generic response models designed to provide a framework for modeling how consumers behave and how managers might better approach the design of products, persuasive appeals, and other controllable factors in the marketing mix.

Suggested Citation

  • Richard P. Bagozzi, 1983. "A Holistic Methodology for Modeling Consumer Response to Innovation," Operations Research, INFORMS, vol. 31(1), pages 128-176, February.
    • Handle: RePEc:inm:oropre:v:31:y:1983:i:1:p:128-176
    DOI: 10.1287/opre.31.1.128
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.31.1.128
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.31.1.128?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
    ---><---

    Citations

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


    Cited by:

    1. Ganlin Pu & Md. Qamruzzaman & Ahmed Muneeb Mehta & Farah Naz Naqvi & Salma Karim, 2021. "Innovative Finance, Technological Adaptation and SMEs Sustainability: The Mediating Role of Government Support during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    2. López Caro, Cristina María & Fernández Aguirre, María Carmen & Mariel Chladkova, Petr, 2002. "Índices de Satisfacción del Consumidor: una aplicación de Modelos de Ecuaciones Estructurales a la Industria Automovilística Española," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    3. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    4. Matthew Walker & Aubrey Kent, 2013. "The Roles of Credibility and Social Consciousness in the Corporate Philanthropy-Consumer Behavior Relationship," Journal of Business Ethics, Springer, vol. 116(2), pages 341-353, August.
    5. Jonathan W. Palmer, 2002. "Web Site Usability, Design, and Performance Metrics," Information Systems Research, INFORMS, vol. 13(2), pages 151-167, June.
    6. Tsai, Juin-Ming & Hung, Shiu-Wan & Yang, Ting-Ting, 2020. "In pursuit of goodwill? The cross-level effects of social enterprise consumer behaviours," Journal of Business Research, Elsevier, vol. 109(C), pages 350-361.
    7. Kim, Wonyoung & Jun, Ho Mun & Walker, Matthew & Drane, Dan, 2015. "Evaluating the perceived social impacts of hosting large-scale sport tourism events: Scale development and validation," Tourism Management, Elsevier, vol. 48(C), pages 21-32.
    8. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    9. Tajdini, Saeed, 2021. "The effects of the subjective-experiential knowledge gap on consumers’ information search behavior and perceptions of consumption risk," Journal of Business Research, Elsevier, vol. 135(C), pages 66-77.
    10. Erik Monsen & R. Wayne Boss, 2009. "The Impact of Strategic Entrepreneurship inside the Organization: Examining Job Stress and Employee Retention," Entrepreneurship Theory and Practice, , vol. 33(1), pages 71-104, January.
    11. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Victoria Masi Haruna, 2014. "A New Model of Green Purchase Intention and its Derivatives: Confirmatory Factor Analysis Validation of Constructs," Information Management and Business Review, AMH International, vol. 6(5), pages 261-268.
    13. Yuan-Shuh Lii & Monle Lee, 2012. "Doing Right Leads to Doing Well: When the Type of CSR and Reputation Interact to Affect Consumer Evaluations of the Firm," Journal of Business Ethics, Springer, vol. 105(1), pages 69-81, January.
    14. Kamal, Muhammad Mustafa & Mamat, Rosnida & Mangla, Sachin Kumar & Kumar, Patanjal & Despoudi, Stella & Dora, Manoj & Tjahjono, Benny, 2022. "Immediate return in circular economy: Business to consumer product return information sharing framework to support sustainable manufacturing in small and medium enterprises," Journal of Business Research, Elsevier, vol. 151(C), pages 379-396.

    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:inm:oropre:v:31:y:1983:i:1:p:128-176. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.