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An Investigation and Conceptual Models of Podcast Marketing

  • Conference paper
Book cover Advances in Web and Network Technologies, and Information Management (APWeb 2007, WAIM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4537))

Abstract

While podcastig is growing rapidly and gains huge popularity, advertising has shown up as an emerging topic throughout the podcasting world. The objective of this study is to shed light on the potentials of podcasting as a new media technology for marketing, by investigating its applicability and effectiveness for targeted advertising and its value as a new way of communicating with captive audiences. Our study also tried to propose conceptual models for taking advantage of the unique strength of podcast technology to overcome the limitations of traditional channels and to enhance the effectiveness and efficiency of traditional marketing practice. For example, considered as a pull mechanism, podcast might be used to enhance marketing strategy for attracting a niche audience, particularly in the event that when traditional marketing approach becomes outdated or inconvenient for customers. A qualitative case study approach was adopted in our research to explore subject matter experts’ experiences and feelings concerning adaptability of podcast to advertising, and moreover their expectations of podcasting as an advertising medium. Our research findings may be referenced by business executives and decision makers for the purpose of making favorable marketing tactics and catching the revolutionary opportunity and benefit of podcast advertising.

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Authors and Affiliations

Authors

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Kevin Chen-Chuan Chang Wei Wang Lei Chen Clarence A. Ellis Ching-Hsien Hsu Ah Chung Tsoi Haixun Wang

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© 2007 Springer-Verlag Berlin Heidelberg

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Chang, S.E., Cevher, M. (2007). An Investigation and Conceptual Models of Podcast Marketing. In: Chang, K.CC., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72909-9_31

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  • DOI: https://doi.org/10.1007/978-3-540-72909-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72908-2

  • Online ISBN: 978-3-540-72909-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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