Leveraging competitive intelligence in offensive cyber counterintelligence: An operational approach for the shipping industry Cover Image

Leveraging competitive intelligence in offensive cyber counterintelligence: An operational approach for the shipping industry
Leveraging competitive intelligence in offensive cyber counterintelligence: An operational approach for the shipping industry

Author(s): Anastasios-Nikolaos KANELLOPOULOS, Anthony IOANNIDIS
Subject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Akademia Sztuki Wojennej
Keywords: strategic management; competitive intelligence; offensive counterintelligence; shipping industry; organisational resilience;

Summary/Abstract: In the contemporary landscape of rapid digitalisation, the shipping industry is increasingly confronted with unparalleled cybersecuritythreats, necessitating a transition towards proactive strategies to address these evolving risks. Traditional methodologies have proveninadequate, thereby necessitating the integration of competitive intelligence (CI) within offensive cyber counterintelligence (OCCI)frameworks. This paper investigates the interdependent relationship between CI and OCCI, underscoring their combined potentialto safeguard organisational interests and enhance cybersecurity resilience. The primary objectives of this study are to elucidate thefoundational principles and significance of CI within business contexts, to explore the theoretical underpinnings of OCCI, and topropose a structured framework for the integration of CI into OCCI operations specifically tailored to the shipping sector. Theoreticalconstructs highlight the critical importance of proactive measures in mitigating cyber threats and sustaining a competitive advantagein the digital era. Through a comprehensive analysis of the literature, this interdisciplinary approach provides practitioners with theopportunity to evaluate and implement the proposed framework. The insights garnered from this study hold significant implicationsfor both academic research and industry practice, promoting ongoing collaboration in the development of robust frameworks forintegrating CI within OCCI operations.

  • Issue Year: 48/2024
  • Issue No: 4
  • Page Range: 80-92
  • Page Count: 13
  • Language: English
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