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Is the Frontier Shifting into the Right Direction? A Qualitative Analysis of Acceptance Factors for Novel Firefighter Information Technologies

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  • Julian Weidinger

    (University of Bamberg)

  • Sebastian Schlauderer

    (University of Bamberg)

  • Sven Overhage

    (University of Bamberg)

Abstract

The use of innovative information technologies such as unmanned aerial vehicles, intelligent protective clothing, or digital plans is frequently pursued to improve the effectiveness of emergency response processes. So far, however, little effort has been made to study the acceptance of such innovative information technologies by firefighters, who are supposed to use them in their daily practice. In this paper, we present the results of a qualitative study, in which we interviewed 21 members of German fire departments to gain insights into the perceived potential of seven emerging technologies from a Diffusion of Innovations perspective. The results suggest that firefighters find emerging technologies to deliver potential advantages. Factors characterizing disadvantages, the perceived compatibility, and complexity of emerging technologies were viewed as potentially substantial acceptance barriers, however. These factors ought to be taken into consideration when designing new technologies to ensure that they indeed meet the practical needs of the users.

Suggested Citation

  • Julian Weidinger & Sebastian Schlauderer & Sven Overhage, 2018. "Is the Frontier Shifting into the Right Direction? A Qualitative Analysis of Acceptance Factors for Novel Firefighter Information Technologies," Information Systems Frontiers, Springer, vol. 20(4), pages 669-692, August.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:4:d:10.1007_s10796-017-9785-8
    DOI: 10.1007/s10796-017-9785-8
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    References listed on IDEAS

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    Cited by:

    1. Nannan Xi & Juan Chen & Filipe Gama & Marc Riar & Juho Hamari, 2023. "The challenges of entering the metaverse: An experiment on the effect of extended reality on workload," Information Systems Frontiers, Springer, vol. 25(2), pages 659-680, April.
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    3. Yanxin Wang & Jian Li & Xi Zhao & Gengzhong Feng & Xin (Robert) Luo, 2020. "Using Mobile Phone Data for Emergency Management: a Systematic Literature Review," Information Systems Frontiers, Springer, vol. 22(6), pages 1539-1559, December.
    4. Dahee Kim & Hee-sung Cha & Shaohua Jiang, 2023. "The Prediction of Fire Disaster Using BIM-Based Visualization for Expediting the Management Process," Sustainability, MDPI, vol. 15(4), pages 1-20, February.

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