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Evaluating the adoption of cybersecurity and its influence on organizational performance

Author

Listed:
  • Tahereh Hasani

    (University of Guelph)

  • Norman O’Reilly

    (University of Maine)

  • Ali Dehghantanha

    (University of Guelph)

  • Davar Rezania

    (University of Guelph)

  • Nadège Levallet

    (University of Maine)

Abstract

Cyberattacks negatively impact the performance of enterprises all around the globe. While organizations invest more in cybersecurity to avoid cyberattacks, studies on the factors affecting their overall cybersecurity adoption and awareness are sparse. In this paper, by integrating the diffusion of innovation theory (DOI), technology acceptance model (TAM), and technology-organization-environment (TOE) with the balanced scorecard approach, we propose a comprehensive set of factors that influence cybersecurity adoption and assess the effects of these factors on organizational performance. Data are collected through a survey of IT experts in small and medium-sized enterprises (SMEs) in the United Kingdom, with 147 valid responses. Structural equation modeling based on a statistical package for the social sciences (SPSS) was used to assess the model. The findings identify and confirm the importance of eight factors affecting SMEs' cybersecurity adoption. Moreover, cybersecurity technology adoption is found to positively impacts organizational performance. The proposed framework depicts variables influencing cybersecurity technology adoption and assesses their importance. The outcomes of this study provide a basis for future research and can be adopted by IT and cybersecurity managers to identify the most appropriate cybersecurity technologies that positively impact their company's performance.

Suggested Citation

  • Tahereh Hasani & Norman O’Reilly & Ali Dehghantanha & Davar Rezania & Nadège Levallet, 2023. "Evaluating the adoption of cybersecurity and its influence on organizational performance," SN Business & Economics, Springer, vol. 3(5), pages 1-38, May.
  • Handle: RePEc:spr:snbeco:v:3:y:2023:i:5:d:10.1007_s43546-023-00477-6
    DOI: 10.1007/s43546-023-00477-6
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