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Situation awareness theory is a primary mean to take decisions and actions in a dynamically changing environment. Nowadays, to implement situation awareness, theories and models in organizational scenarios have become an important research challenge. The purpose of this paper is to investigate the relationship between the situation awareness theory and cybernetics. Further, the aim is to use this relationship to check the feasibility of situation awareness-based information security risk management (ISRM) implementation in the organizational scenario.

To investigate the relationship between situation awareness theory and cybernetics, Endsley’s situation awareness theory and Norbert Wiener’s cybernetics concepts and philosophy have been used in the present work. For a detailed study, concepts, techniques and philosophy of the cybernetics have been extracted from the thesis of Norbert Wiener titled “The human use of human beings” and “Cybernetics or control and communication in the animal and the machine”.

The present paper demonstrates that relationship can be successfully established between cybernetics and situation awareness theory. Further, this relationship can be used to solve organizational implementation issues related to situation awareness based systems. To demonstrate relationship and solutions of implementation issues, two case studies related to ISRM are also incorporated in the present case study.

The present work bridges two parallel and prominent theories of situation awareness and cybernetics. It also demonstrates that combination of both the theories can be used to feasibly implement situation awareness based systems in organizations.

Decision-making in human resources management is done at both the micro and macro level of organizations. Unfortunately, the decisions at each level are often executed without consideration of the other, and current theory reflects this issue. In response to a call for integration of micro- and macro-level processes by Huselid and Becker (2011), we review the extant literature on strategic human resources and high-performance work systems to provide recommendations for both research and practice. We aimed to contribute to the literature by proposing the incorporation of the situation awareness literature into the high-performance work systems framework to encourage the alignment of human resources efforts. In addition, we provide practical recommendations for integrating situation awareness and strategic decision-making. We discuss a process for the employment of situation awareness in organizations that might not only streamline human resources management but also result in more effective decisions. Additional considerations include implications for teams, boundary conditions (e.g., individual differences), and measurement.

Although research on prefabricated construction has gained increasing attention in recent years, limited efforts have been devoted to investigating safety issues in the off-site manufacture, especially workers’ behavioral intentions to work safely. Thus, research is needed to identify the motivational factors determining off-site construction workers’ safety behaviors. The purpose of this paper is to investigate workers’ safety behavior by examining the determinants of behavioral intention in the off-site manufacturing plants in China.

Theory of planned behavior (TPB) was modified and used in this study to explain how the elements in the hypothesized model interact. Data were collected using a questionnaire. Structural equation modeling technique with partial least-squares estimation was used to analyze the data collected.

The findings of this study indicated that workers’ tendency to engage in safety behavior is positively related to attitude toward the behavior, subjective norm, perceived behavioral control and behavioral habit, among which attitude toward the behavior and behavioral habit have most significant influences on safety behavior. This finding provides a better explanation on the pathways and the impacts of the crucial factors on the safety behaviors for the off-site manufacture.

The possible innovation of this research lies in its attempt to understand the antecedents of workers’ safety behavior in the off-site construction environment, which may make original contributions to construction safety research and practice. The findings of this study contribute to the body of knowledge in TPB. Corresponding countermeasures are put forward in order to improve workers’ safety behavior in off-site construction.

This paper aims to discuss how a high level of situation awareness (SA) has the potential to enhance first responders' performance and manage work demand resulting from distributed, dynamic, and chaotic situations resulting from a disaster in modern urban environments. It also aims to present a theoretical framework to address needs of an effective disaster response, enhanced collaboration and improved SA. The purpose of this is to help better understand current disaster response schemes in terms of SA, based on the understanding, find a way to improve the disaster response effectiveness, and quantitatively evaluate existing and future disaster response processes. The paper seeks to characterize current disaster response operations by various shortcomings, including inability to access information, lack of coordination, and poor communications. All this makes it difficult to deal with dynamic work demand resulting from disasters.

A response framework, integrating IT and Civil Engineering components is presented highlighting the relationship between situation awareness, collaboration and performance. Also, the implementation approach is discussed.

The paper finds that SA is very relevant to ensuring how much a current disaster response system is effective cognitively and physically, and in understanding how well disaster response systems support the responders at both strategic and operational levels.

Support of Civil Engineers and IT components can increase the response performance by facilitating collaboration through improved SA.

The paper presents a comprehensive framework and implementation approach to ensure effectiveness of disaster response operations. The framework ensures high situation awareness while supporting collaboration among first responders, including improved civil engineers' roles and exploiting IT components to collect, analyze, and share information.

Emergency management groups aiming to address community resilience work with complex systems which consist of multiple interacting dynamics. The purpose of this paper is to help ensure that information is displayed in a way which supports strategic performance, to address longer term challenges faced by these groups.

Ten professional emergency managers completed an online simulation of complex, community resilience related tasks faced in their normal working lives. They responded to either table-or diagram-based information about a relevant emergency management strategy. Responses were rated by academic and practitioner experts using 0-5 point Likert scales.

Analyses of the expert ratings found that certain components of macrocognitive performance reached large degrees of inter-rater reliability (ρ=0.76, p=0.003; ρ=0.58, p=0.03; ρ=0.53, p=0.05). Current situation awareness increased by an average of 29 per cent in the diagram condition. Prospective amendment quality also increased, by an average of 38 per cent. A small sample size meant that these increases are difficult to generalise.

Extensions of this pilot research could use larger samples and more generic simulation conditions, to increase confidence in the claim that certain displays help improve strategic emergency management planning.

It is recommended that further research continues to focus on current and prospective situational awareness, as measures of strategic emergency management performance which can be reliably expert rated.

This research provides novel methodological considerations for supporting a more strategic approach to emergency management, with a focus on longer term implications.

The purpose of this paper is to provide a more capable and holistic adjustable autonomy system, involving situation reasoning among all involved information sources, to make an adjustable autonomy system which knows what the situation is currently, what needs to be done in the present situation, and how risky the task is in the present situation. This will enhance efficiency for calculating the level of autonomy.

Situation reasoning methodologies are present in many autonomous systems which are called situation awareness. Situation awareness in autonomous systems is divided into three levels, situation perception, situation comprehension and situation projection. Situation awareness in these systems aims to make the tactical plans cognitive, but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or humans. Thus, in solving this problem, it is important to design a new situation reasoning module for the adjustable autonomous system.

The contribution of this paper is presenting the Situation Reasoning Module (SRM) for an adjustable autonomous system, which encapsulates event detection, cognitive situations, cognitive tasks, performance capacity assessment and integrated situation reason. The paper concludes by demonstrating the benefits of the SRM in a real‐world scenario, a situation reasoning simulation in unmanned surface vehicles (USV) while performing a navigation mission.

The method presented in this paper represents a new SRM to reason the situation for adjustable autonomous system. While the results presented in the paper are based on fuzzy logic and Bayesian network methodology. The results of this paper can be applicable to land, sea and air robotics in an adjustable autonomous system.

This chapter summarises the findings of a case study on social media activity during the 22 July 2011 terrorist attacks in Norway. Based on these findings and on theories and previous research on the role of social media in situation awareness (SA) configuration during crisis situations, the chapter offers seven recommendations for key communicators in official crisis management and response institutions, journalistic institutions, NGOs and others: (1) acknowledge social media as important and master monitoring and management of features across social media; (2) synchronise communication and establish a standard operating procedure (SOP); (3) establish and make known a joint social media emergency account; (4) participate, interact and take the lead; (5) be aware of non-hashtagged content; (6) implement verification tools and practices and (7) engage with and learn from celebrities.

Human performance, particularly that of the warfighter, has been the subject of a large amount of research during the past few decades. For example, in the Medline database of medical and psychological research, 1,061 papers had been published on the topic of “military performance” as of October 2003. Because warfighters are often pushed to physiological and mental extremes, a study of their performance provides a unique glimpse of the interplay of a wide variety of intrinsic and extrinsic factors on the functioning of the human brain and body. Unfortunately, it has proven very difficult to build performance models that can adequately incorporate the myriad of physiological, medical, social, and cognitive factors that influence behavior in extreme conditions. The chief purpose of this chapter is to provide a neurobiological (neurochemical) framework for building and integrating warfighter performance models in the physiological, medical, social, and cognitive areas. This framework should be relevant to all other professionals who routinely operate in extreme environments. The secondary purpose of this chapter is to recommend various performance metrics that can be linked to specific neurochemical states and can accordingly strengthen and extend the scope of the neurochemical model.

Low productivity in construction is typically blamed on the seemingly complex and chaotic nature of construction, which emerges as the stakeholders do not have an adequate picture of the evolving situation. The ever-increasing volume of situation data owing to the recent advances in IoT devices and reality capture platforms provide a unique opportunity to capture the actual situation data of construction projects accurately at a fraction of the cost compared to manual status tracking and reporting. This paper aims to investigate the concept of a situation picture, challenges in collecting situation data and its benefits.

Empirical data is collected through interviews in California and Finland, and by organizing workshops.

We contribute to literature on managing operational information by defining the concept of a situation picture in the context of construction, specifically from the blue-collar’s perspective during on-site activities. We present the key components of a conceptual information model that represents a situation picture in construction.

The applicability of conceptual information model of situation picture is not tested in practice, but the model will provide a starting point for research to comprehensively integrate social and digital information exchange for improving workflow.

The paper claims that designing and building comprehensive information management infrastructure would contribute to solving the problems of low productivity, quality and safety in construction projects.

Research on situation picture and situation awareness is scarce in the context of construction. The study links various information management technologies and practices to actual construction productivity.

Coordination between military and civilian agencies has previously been found to be a significant issue that affects the efficiency of multi‐agency system responses to large‐scale emergencies. The purpose of this article is to present the findings derived from a case study focussing on the problems that abound when the military attempts to work with civilian organisations.

An integrated framework of human factors methods was used to analyse a Military Aid to the Civilian Authorities training exercise, involving the army and seven other responding agencies.

A range of factors that hinder coordination between agencies during multi‐agency emergency responses were identified. Potential solutions for removing these barriers and augmenting coordination levels are proposed.

This research suggests that much further work is required in training and designing multi‐agency response systems and procedures in order to optimise coordination between responding agencies.

This article presents the first attempt to apply structured, theoretically underpinned human factors methods, to understand the problems that abound when the military works with civilian agencies during large‐scale emergency responses.