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A Holistic Methodology for Modeling Consumer Response to Innovation

Author

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Agozie, Divine Q. & Afful-Dadzie, Anthony & Gyamfi, Bright Akwasi & Bekun, Festus Victor, 2023. "Does psychological empowerment improve renewable energy technology acceptance and recommendation? Evidence from 17 rural communities," Renewable Energy, Elsevier, vol. 219(P1).
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    8. Jonathan W. Palmer, 2002. "Web Site Usability, Design, and Performance Metrics," Information Systems Research, INFORMS, vol. 13(2), pages 151-167, June.
    9. 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.
    10. 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).
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    12. 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.
    13. 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.
    14. 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.
    15. 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.

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