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Information diffusion and new product consumption: A bass model application to tourism facility management

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  • Hsiao, James Po-Hsun
  • Jaw, Chyi
  • Huan, Tzung-Cheng

Abstract

This article applies models to measure and to understand how information diffusion influences tourists' consumption patterns. The study uses administrative data on a new festival's attendance and advertising. Bass's [Bass FM. A new product growth for model consumer durables. Manage Sci 1969;15(5):215-227] model and a modified version [Horsky D, Simon LS. Advertising and the diffusion of new products. Mark Sci 1983;2(1):1-18] to allow for advertising's effect. Results imply effectiveness of front loaded advertising. This result is due to increasing purchases that result from word-of-mouth information diffusion. However, a model with an effect of advertising is accepted as well as a model with no consideration of advertising budget. Examination of consistency and conceptual issues with models raises the need for models that are more realistic for the tourism product. A specific concern is developing models appropriate to analysis of attendance at a limited-duration innovative event (e.g., new product) held at a host to impact longer-term attendance of the host.

Suggested Citation

  • Hsiao, James Po-Hsun & Jaw, Chyi & Huan, Tzung-Cheng, 2009. "Information diffusion and new product consumption: A bass model application to tourism facility management," Journal of Business Research, Elsevier, vol. 62(7), pages 690-697, July.
    • Handle: RePEc:eee:jbrese:v:62:y:2009:i:7:p:690-697
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    References listed on IDEAS

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    1. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    2. W. Tsay, 1998. "On the power of durbin-watson statistic against fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 17(4), pages 361-386.
    3. Vijay Mahajan & Eitan Muller & Frank M. Bass, 1995. "Diffusion of New Products: Empirical Generalizations and Managerial Uses," Marketing Science, INFORMS, vol. 14(3_supplem), pages 79-88.
    4. Irwin Bernhardt & Kenneth D. Mackenzie, 1972. "Some Problems in using Diffusion Models for New Products," Management Science, INFORMS, vol. 19(2), pages 187-200, October.
    5. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
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    1. Bernd Frick & Franziska Prockl, 2018. "Information Precision In Online Communities: Player Valuations On Www.Transfermarkt.De," Working Papers Dissertations 37, Paderborn University, Faculty of Business Administration and Economics.
    2. Ting Liu & Jianhong Xia & Lesley Crowe-Delaney, 2020. "Tourism Information Diffusion through SNSs: A Theoretical Investigation," Sustainability, MDPI, vol. 12(5), pages 1-22, February.
    3. Wenjing Shen & Izak Duenyas & Roman Kapuscinski, 2014. "Optimal Pricing, Production, and Inventory for New Product Diffusion Under Supply Constraints," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 28-45, February.
    4. Dalla Valle, Alessandra & Furlan, Claudia, 2014. "Diffusion of nuclear energy in some developing countries," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 143-153.
    5. Deepti Aggrawal & Adarsh Anand & Gunjan Bansal & Gareth H. Davies & Parisa Maroufkhani & Yogesh K. Dwivedi, 2022. "RETRACTED ARTICLE: Modelling product lines diffusion: a framework incorporating competitive brands for sustainable innovations," Operations Management Research, Springer, vol. 15(3), pages 760-772, December.
    6. Eryarsoy, Enes & Delen, Dursun & Davazdahemami, Behrooz & Topuz, Kazim, 2021. "A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19," Journal of Business Research, Elsevier, vol. 124(C), pages 163-178.

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