Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises

Kuipers, Sanneke; Schonheit, Michael

doi:10.1057/s41299-021-00121-9

Cited by 17 publications

(11 citation statements)

References 34 publications

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“…planning and response, it can lead to a cascade of adverse effects which includes potential lawsuits and legal challenges, loss of trust and reputation, (Kuipers and Schonheit, 2022). For example, during the 2017 Equifax data breach, the company's initial lack of transparency and proactive measures to protect affected consumers not only resulted in a loss of consumer trust but also led to numerous lawsuits and regulatory penalties, underscoring the link between consumer vulnerability and organisational vulnerability (Kuipers and Schonheit, 2022).…”

Section: Customers Vulnerability Pathwaymentioning

confidence: 99%

“…Due to vulnerability, customers may regularly experience feelings of being “underserved, ignored, or excluded” within the marketplace they aim to engage with (Kaufman-Scarborough, 2015). When organisations overlook or mishandle the needs of vulnerable consumers in disaster planning and response, it can lead to a cascade of adverse effects which includes potential lawsuits and legal challenges, loss of trust and reputation, (Kuipers and Schonheit, 2022). For example, during the 2017 Equifax data breach, the company’s initial lack of transparency and proactive measures to protect affected consumers not only resulted in a loss of consumer trust but also led to numerous lawsuits and regulatory penalties, underscoring the link between consumer vulnerability and organisational vulnerability (Kuipers and Schonheit, 2022).…”

Section: Customers Vulnerability Pathwaymentioning

confidence: 99%

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Organisational vulnerability: exploring the pathways

Chipangura,

van Niekerk,

Mangara

et al. 2024

DPM

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PurposeThis study aimed to address the underexplored domain of organisational vulnerability, with a specific focus on understanding how vulnerability is understood in organisations and the underlying pathways leading to vulnerability.Design/methodology/approachThis study utilised a narrative literature review methodology, using Google Scholar as the primary source, to analyse the concepts of organisational vulnerability in the context of disaster risk studies. The review focused on relevant documents published between the years 2000 and 2022.FindingsThe analysis highlights the multifaceted nature of organisational vulnerability, which arises from both inherent weaknesses within the organisation and external risks that expose it to potential hazards. The inherent weaknesses are rooted in internal vulnerability pathways such as organisational culture, managerial ignorance, human resources, and communication weaknesses that compromise the organisation’s resilience. The external dimension of vulnerability is found in cascading vulnerability pathways, e.g. critical infrastructure, supply chains, and customer relationships.Originality/valueAs the frequency and severity of disasters continue to increase, organisations of all sizes face heightened vulnerability to unforeseen disruptions and potential destruction. Acknowledging and comprehending organisational vulnerability is a crucial initial step towards enhancing risk management effectiveness, fostering resilience, and promoting sustainable success in an interconnected global environment and an evolving disaster landscape.

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Section: Customers Vulnerability Pathwaymentioning

confidence: 99%

Section: Customers Vulnerability Pathwaymentioning

confidence: 99%

Organisational vulnerability: exploring the pathways

Chipangura,

van Niekerk,

Mangara

et al. 2024

DPM

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“…In order for modern devices to work, they need a set of applications that serve humanity and require several protective measures to prevent intrusions, hacking, attacks, and unauthorized entries. Hacking and data theft constitute a major concern for many companies and institutions [16] [17]. As companies across various industries increasingly recognize the importance of their data, they have started paying attention to cybersecurity, which can be related to several aspects, including the necessary measures to protect communications systems, data, and raw information, virtual and physical elements associated with operating systems, and secure applications that are required to exist within the system and can only be used by certain persons [18][19][20].…”

Section: Practices In Cybersecuritymentioning

confidence: 99%

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

2023

ijcsm

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People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data or disrupt systems. Cybersecurity refers to a collection of technical, organizational, and executive means for preventing the unauthorized use or misuse of electronic information and communication systems to ensure the continuity of their work, guarantee the confidentiality and privacy of personal data, and protect consumers from threats and intrusions. Accordingly, this article explores the cybersecurity practices that protect computer systems from attacks, hacking, and data thefts and investigates the role of artificial intelligence in this domain. This article also summarizes the most significant literature that explore the roles and effects of machine learning and deep learning techniques in cybersecurity. Results show that machine learning and deep learning techniques play significant roles in protecting computer systems from unauthorized entry and in controlling system penetration by predicting and understanding the behaviour and traffic of malicious software.

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“…Contemporary technological equipment necessitate applications that cater to the needs of humans while also ensuring safeguards against invasions, hacking, attacks, and unauthorised entrance. Numerous organisations and institutions express concerns regarding the potential risks of hacking and data theft, since they are compelled to safeguard their systems and data [16]. The reference provided is in the form of a numerical citation, indicating that the user is referring Data plays a crucial role in the operations of companies and institutions.…”

Section: Practices Of the Cybersecuritymentioning

confidence: 99%

A Survey on the Significance of Artificial intelligence (AI) in Network cybersecurity

Maryam Abdulsalam Ali,

ALI ALQARAGHULI

2023

BJN

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Virtual environments providing public services, private businesses, and social media platforms occupy a large portion of our time. Cybercriminals should refrain from stealing data or compromising systems in these settings. Cybersecurity refers to the actions taken at the executive, organisational, and technological levels to protect data, communication networks, and electronic information from unauthorised access, use, or disclosure. Additionally, it must manage all necessary criteria to safeguard customers from dangers and intrusions while simultaneously improving the security, privacy, and secrecy of personal data. The literature reviewed here focuses on artificial intelligence (AI) as it relates to cybersecurity, protecting computer systems from assault, hacking, and data theft. An overview of seminal works on the topic of deep learning and machine learning as they pertain to cybersecurity is provided in this study. Machine learning and deep learning algorithms also regulate computer system infiltration by predicting and understanding harmful software behavior and traffic, which protects against illegal admission

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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises

Cited by 17 publications

References 34 publications

Organisational vulnerability: exploring the pathways

Organisational vulnerability: exploring the pathways

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

A Survey on the Significance of Artificial intelligence (AI) in Network cybersecurity

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