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The fundamental relationship between accounting variables and firm valuation is a recurring theme in capital market research. This paper investigates this relationship within a balance sheet context and highlights the importance of controlling for relevant economic factors. We do this by conditioning explanatory power on the firm's relative financial leverage position, after controlling for cashflows and firm size, and using an arctan regression model to take account of temporary components in cash and earnings flows. Using data for 743 firm‐years for Australian Stock Exchange listed stocks, we find that for firms which are ‘above optimal leverage’: (i) earnings contain a greater level of transitory items, particularly when firm size is small; and (ii) cashflows provide higher incremental information. Our results are consistent with investors perceiving earnings as progressively less informative as the probability of failure increases, and the likelihood of earnings manipulation for the purpose of reducing proximity to debt covenants increases.

The human factor is a major consideration in securing systems. A wide and increasing range of different technologies, devices, platforms, applications and services are being used every day by home users. In parallel, home users are also experiencing a range of different online threats and attacks and are increasingly being targeted as they lack the knowledge and awareness about potential threats and how to protect themselves. The increase in technologies and platforms also increases the burden upon a user to understand how to apply security across differing technologies, operating systems and applications. This results in managing the security across their technology portfolio increasingly more troublesome and time consuming. This paper aims to propose an approach that attempts to propose a system for improving security management and awareness for home users.

The proposed system is capable of creating and assigning different security policies for different digital devices in a user-friendly fashion. These assigned policies are monitored, checked and managed to review the user’s compliance with the assigned policies to provide bespoke awareness content based on the user’s current needs.

A novel framework was proposed for improving information security management and awareness for home users. In addition, a mock-up design was developed to simulate the proposed approach to visualise the main concept and the functions which might be performed when it is deployed in a real environment. A number of different scenarios have been simulated to show how the system can manage and deal with different types of users, devices and threats. In addition, the proposed approach has been evaluated by experts in the research domain. The overall feedback is positive, constructive and encouraging. The experts agreed that the identified research problem is a real problem. In addition, they agreed that the proposed approach is usable, feasible and effective in improving security management and awareness for home users.

The proposed design of the system is a mock-up design without real data. Therefore, implementing the proposed approach in a real environment can provide the researcher with a better understanding of the effectiveness and the functionality of the proposed approach.

This study offers a framework and usable mock-up design which can help in improving information security management for home users.

Improving the security management and awareness for home users by monitoring, checking and managing different security controls and configurations effectively are the key to strengthen information security. Therefore, when home users have a good level of security management and awareness, this could protect and secure the home network and subsequently business infrastructure and services as well.

The purpose of this paper is to present an integrative framework for handling the security and usability conflicts during the system development lifecycle. The framework has been formulated while considering key concerns raised after conducting a series of interviews with practitioners from the industry. The framework is aimed at assisting system designers and developers in making reasonably accurate choices when it comes to the trade-offs between security and usability. The outcomes of using the framework are documented as design patterns, which are disseminated among the community of system designers and developers for use in other but similar contexts.

A design science research approach was used to develop the integrative framework for usable security. Interviews were conducted for identification of the key concerns; however, the framework was validated during a workshop. Moreover, to validate the patterns’ template and the usable security pattern identified after instantiating the framework, a survey instrument was used.

It is important to consider the usability aspect in the development of security systems; otherwise, the systems, despite being secure against attacks, would be susceptible to user mistakes leading to compromises. It is worthwhile to handle usable security concerns right from the start of system development life cycle. Design patterns can help the developers in assessing the usability of their security options.

The framework would assist the designers and developers in handling the security and usability conflicts right from the start of the system development life cycle. The patterns documented after using the framework would help not only the designers and developers working in the industry but also freelancers.

The authors present a novel framework to handle the security and usability conflicts during the system development life cycle. The development process of the framework was driven by the concerns raised after a series of interviews with the practitioners from industry. The framework presented in this paper was validated during a workshop in which it was exposed for review and comments by the participants from the industry. To demonstrate the use of patterns in general and the framework in particular, a case study featuring smart grids from the domain of cyber-physical systems is presented, which (to the best of the authors’ knowledge) features the first work relevant to usable security in the domain of cyber-physical systems.

It is widely acknowledged that non-compliance of employees with information security polices is one of the major challenges facing organisations. This paper aims to propose a model that is intended to provide a comprehensive framework for raising the level of compliance amongst end-users, with the aim of monitoring, measuring and responding to users’ behaviour with an information security policy.

The proposed model is based on two main concepts: a taxonomy of the response strategy to non-compliant behaviour and a compliance points system. The response taxonomy comprises two categories: awareness raising and enforcement of the security policy. The compliance points system is used to reward compliant behaviour and penalise non-compliant behaviour.

A prototype system has been developed to simulate the proposed model and work as a real system that responds to the behaviour of users (reflecting both violations and compliance behaviour). In addition, the model has been evaluated by interviewing experts from academic and industry. They considered the proposed model to offers a novel approach for managing end users’ behaviour with the information security policies.

Psychological factors were out of the research scope at this stage. The proposed model may have some psychological impacts upon users; therefore, this issue needs to be considered by studying the potential impacts and the best solutions.

Users being compliant with the information security policies of their organisation is the key to strengthen information security. Therefore, when employees have a good level of compliance with security policies, this positively affects the overall security of an organisation.

The purpose of this study was to investigate the difference between South Africa (SA) and the United Kingdom (UK) in terms of data protection compliance with the aim to establish if a country that has had data protection in place for a longer period of time has a higher level of compliance with data protection requirements in comparison with a country that is preparing for compliance.

An insurance industry multi-case study within the online insurance services environment was conducted. Personal information of four newly created consumer profiles was deposited to 10 random insurance organisation websites in each country to evaluate a number of data privacy requirements of the Data Protection Act and Protection of Personal Information Act.

The results demonstrate that not all the insurance organisations honored the selected opt-out preference for receiving direct marketing material. This was evident in direct marketing material that was sent from the insurance organisations in the sample to both the SA and UK consumer profiles who opted out for it. A total of 42 unsolicited third-party contacts were received by the SA consumer profiles, whereas the UK consumer profiles did not receive any third-party direct marketing. It was also found that the minimality principle is not always met by both SA and UK organisations.

As a jurisdiction with a heavy stance towards privacy implementation and regulation, it was found that the UK is more compliant than SA in terms of implementation of the evaluated data protection requirements included in the scope of this study, however not fully compliant.

Based upon the results obtained from this research, it suggests that the SA insurance organisations should ensure that the non-compliance aspects relating to direct marketing and sharing data with third parties are addressed. SA insurance companies should learn from the manner in which the UK insurance organisations implement these privacy requirements. Furthermore, the UK insurance organisations should focus on improved compliance for direct marking and the minimality principle. The study indicates the positive role that data protection legislation plays in a county like the UK, with a more mature stance toward compliance with data protection legislation.

The end-user has frequently been identified as the weakest link; however, motivated by the fact that different users react differently to the same stimuli, identifying the reasons behind variations in security behavior and why certain users could be “at risk” more than others is a step toward protecting and defending users against security attacks. This paper aims to explore the effect of personality trait variations (through the Big Five Inventory [BFI]) on users’ risk level of their intended security behaviors. In addition, age, gender, service usage and information technology (IT) proficiency are analyzed to identify what role and impact they have on behavior.

The authors developed a quantitative-oriented survey that was implemented online. The bi-variate Pearson two-tailed correlation was used to analyze survey responses.

The results obtained by analyzing 538 survey responses suggest that personality traits do play a significant role in affecting users’ security behavior risk levels. Furthermore, the results suggest that BFI score of a trait has a significant effect as users’ online personality is linked to their offline personality, especially in the conscientiousness personality trait. Additionally, this effect was stronger when personality was correlated with the factors of IT proficiency, gender, age and online activity.

The contributions of this paper are two-fold. First, with the aid of a large population sample, end-users’ security practice is assessed from multiple domains, and relationships were found between end-users’ risk-taking behavior and nine user-centric factors. Second, based upon these findings, the predictive ability for these user-centric factors were evaluated to determine the level of risk a user is subject to from an individual behavior perspective. Of 28 behaviors, 11 were found to have a 60 per cent or greater predictive ability, with the highest classification of 92 per cent for several behaviors. This provides a basis for organizations to use behavioral intent alongside personality traits and demographics to understand and, therefore, manage the human aspects of risk.