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Diffusion theory: A review and test of a conceptual model in information diffusion

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  • Elfreda A. Chatman

Abstract

The purpose of this study was to test diffusion theory in a study of the awareness, use, and diffusion of an innovation in a job environment of the working poor. In order to apply the theory, a modification of the definition of innovation was necessary. The innovation in this study was information, specifically, job information. The sample consisted of 50 women who had temporary employment as part of their enrollment in an urban Comprehensive Employment and Training Act (CETA) program. Findings revealed (1) some aspects of models of diffusion were more prominent than others in a study where the innovation is information, and (2) linkages could be made between models to give a clearer picture of the diffusion of job information. © 1986 John Wiley & Sons, Inc.

Suggested Citation

  • Elfreda A. Chatman, 1986. "Diffusion theory: A review and test of a conceptual model in information diffusion," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(6), pages 377-386, November.
  • Handle: RePEc:bla:jamest:v:37:y:1986:i:6:p:377-386
    DOI: 10.1002/(SICI)1097-4571(198611)37:63.0.CO;2-C
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    Cited by:

    1. Mahdi Omidi & Qingfei Min & Ali Omidi, 2017. "Multi-level analysis framework for reviewing IDT-based studies," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1339338-133, January.
    2. L. Feng & C. Huang, 2008. "A Risk Assessment Model of Water Shortage Based on Information Diffusion Technology and its Application in Analyzing Carrying Capacity of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(5), pages 621-633, May.
    3. Yu Xiaobing & Li Chenliang & Huo Tongzhao & Ji Zhonghui, 2021. "Information diffusion theory-based approach for the risk assessment of meteorological disasters in the Yangtze River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2337-2362, July.
    4. Christoph Safferling & Aaron Lowen, 2011. "Economics in the Kingdom of Loathing: Analysis of Virtual Market Data," Working Paper Series of the Department of Economics, University of Konstanz 2011-30, Department of Economics, University of Konstanz.
    5. Feng, Li-Hua & Zhang, Xing-Cai & Luo, Gao-Yuan, 2008. "Application of system dynamics in analyzing the carrying capacity of water resources in Yiwu City, China," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 269-278.
    6. Chengzhi Niu & Hong He & Yunfei Qi & Shoujie Wang, 2024. "Can Participation in the Green Standard-Setting Process Promote Green Innovation in Heavy-Pollution Firms? Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-29, July.
    7. Deanne Bird & Matthew Roberts & Dale Dominey-Howes, 2008. "Usage of an early warning and information system Web-site for real-time seismicity in Iceland," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(1), pages 75-94, October.

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