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The purpose of the paper is to contribute to further advancing of IMP as a research field by setting up and starting a theoretical conversation between system theory and the IMP.

The approach is based on a narrative literature study and conceptual research.

The authors find that system theory and cybernetics can be regarded as important sources of inspiration for early IMP research. The authors identify three specific theoretical “puzzles” in system theory that may serve as useful topics for discussion between system theorists and IMP researchers.

Only a handful of papers have touched upon the relationship between system theory and IMP before. This paper combines a narrative, historical analysis of this relationship with developing specific suggestions for using system theory as a vehicle for further advancement of IMP research.

This research explores the implications for risk management of “People Risk.” In particular how online digital behaviors, particularly from young people entering the workplace for the first time, might impact on the work setting and how risk management might mitigate impact on the employee and organization.

A mixed methods approach was used to consider these implications and draws from a number of data sources in the United Kingdom including a database of self-review data around online safety policy and practice from over 2000 schools, a survey of over 1000 14–16 year olds and their attitudes toward sexting, and a survey of over 500 undergraduate students. In addition the work considers existing risk management approaches and the models therein and how they might be applied to people risk.

The dataset analyzed in this exploration show an education system in the United Kingdom that is not adequately preparing young people with an awareness of the implications of digital behavior in their lives and the survey data shows distorted social norms that might have serious consequences in the workplace.

This research should raise concerns for managers in the workplace who need to be aware of the changes in “normal” behavior and how these potentially harmful practices may be mitigated in the workplace.

The research provides a strong evidence base for a change in “acceptable” social behavior by children and young people alongside an education system not promoting effective awareness. These two datasets combined highlight potential new risks to the workplace.

A growing body of literature focuses on crime hotspots; however, less is known about the spatial distribution of crime at mass transit systems, and even less is known about trajectory patterns of hotspots in non-English-speaking countries.

The spatiotemporal behaviour of 1,494 crimes reported to the Hong Kong’s Railway Police District across a two-year period was examined in this study. Crime harm weights were then applied to offences to estimate the distribution of crime severity across the transit system. Descriptive statistics are used to understand the temporal and spatial trends, and k-means longitudinal clustering are used to examine the developmental trajectories of crime in train stations over time.

Analyses suggest that 15.2% and 8.8% of stations accounted for 50% of all counted crime and crime harm scores, respectively, indicating the predictability of crime and harm to occur at certain stations but not others. Offending persists consistently, with low, moderate and high counts and harm stations remaining the same over time.

These findings suggest that more localised crime control initiatives are required to target crime effectively.

This is one of the only studies focusing on hotspots and harmspots in the mass transit system.

W. Ross Ashby’s elementary non-trivial machine, known in the cybernetic literature as the “Ashby Box,” has been described as the prototypical example of a black box system. As far as it can be ascertained from Ashby’s journal, the intended purpose of this device may have been to exemplify the environment where an “artificial brain” may operate. This paper describes the construction of an elementary observer/controller for the class of systems exemplified by the Ashby Box – variable structure black box systems with parallel input.

Starting from a formalization of the second-order assumptions implicit in the design of the Ashby Box, the observer/controller system is synthesized from the ground up, in a strictly system-theoretic setting, without recourse to disciplinary metaphors or current theories of learning and cognition, based mainly on guidance from Heinz von Foerster’s theory of self-organizing systems and W. Ross Ashby’s own insights into adaptive systems.

Achieving and maintaining control of the Ashby Box requires a non-trivial observer system able to use the results of its interactions with the non-trivial machine to autonomously construct, deconstruct and reconstruct its own function. The algorithm and the dynamical model of the Ashby Box observer developed in this paper define the basic specifications of a general purpose, unsupervised learning architecture able to accomplish this task.

The problem exemplified by the Ashby Box is fundamental and goes to the roots of cybernetic theory; second-order cybernetics offers an adequate foundation for the mathematical modeling of this problem.

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

Technology‐based new ventures (TNVs) – which rely on entrepreneurial activities based on science and technology applications in newly created organizations to be successful – are important to current economic growth and innovation. Past research has looked at the importance of networks and social capital to TNV performance. Yet these studies rarely provide theoretical predictions of the attributes of network ties. This paper aims to bring TNV theory up to date with respect to twenty‐first century adaptation and complexity conditions.

The paper draws on new developments in complexity science (specifically scalability and scale‐free theories) and long‐standing first principles of efficacious adaptation to develop TNV‐relevant theory offering an alternative perspective on the impact of network ties on the performance of TNV.

It is argued that TNVs can achieve superior performance by developing and building moderate numbers of short‐term (and thereby weak) network ties. The theorizing calls for a new research agenda pertaining to TNVs, which are delineated. The paper also develops four propositions as part of setting forth an agenda for future research.

The paper updates the entrepreneurship and social network literatures by reshaping them with respect to the nonlinear order‐creation dynamics of complexity theory and scale‐free dynamics of econophysics. It focuses on the aspects of network theory that are especially likely to set in motion the complex adaptive systems dynamics essential to TNV performance. Therefore, the conceptual framework contributes to TNVs as a guide to achieving higher performance, effectiveness, and longevity in a rapidly changing world.

The viable system model (VSM) provides a way to understand communication structures in an organization. It gives us a means to visualize and analyze information channels relating the functions in an enterprise, a corporation, or any other kind of organization. At the heart of the VSM is the application of Ashby's law of requisite variety. The resulting models help to analyze and discuss what variety attenuation of operations and what variety amplification of management can establish requisite variety. Many studies and applications show that the complexity management laws described by Ashby and Beer hold, and that managerial, operational and environmental varieties tend to equate. The amplifiers and attenuators, however, should be designed to do so with minimum damage to people and to cost. The purpose of this paper is to determine to what extent the design of amplifiers and attenuators is possible if these are realized based on linguistic communication, and whether this design can be automated in these cases.

The paper uses logical presentation of ideas along with examples from cases. The basic argument is that the design of information channels – amplifiers and attenuators – relies on self‐organizing processes that depend on an operation called linguistic predication.

The paper demonstrates that linguistic predication is not computable based on the model of the Turing machine so that this operation is restricted to be carried out by human agents. In these cases, technology is limited to providing a technical means for communication and social processes.

While there is a large knowledge base of literature in the field of applications of the VSM there is less work providing concepts and guidelines for designing information channels. This paper offers a conceptual and logical argument for their characteristics based on linguistics and philosophy of language.

Ranulph Glanville has argued that ambitions of strict control are misplaced in epistemic processes such as learning and designing. Among other reasons, he has presented quantitative arguments for this ethical position. As a part of these arguments, Glanville claimed that strict control even of modest systems transcends the computational limits of our planet. The purpose of this paper is to review the related discourse and to examine the soundness of this claim.

Related literature is reviewed and pertinent lines of reasoning are illustrated and critically examined using examples and straightforward language.

The claim that even modest epistemic processes transcend the computational means of our planet is challenged. The recommendation to assume out-of-control postures in epistemic processes, however, is maintained on ethical rather than on quantitative grounds.

The presented reasoning is limited in as far as it is ultimately based on an ethical standpoint.

This paper summarizes an important cybernetic discourse and dispels the notion therein that epistemic processes necessarily involve computational demands of astronomical proportions. Furthermore, this paper presents a rare discussion of Glanville’s Corollary of Ashby’s Law of Requisite Variety.

The purpose of this paper is to develop and test theory regarding a geographic halo effect, whereby foreign investors draw overly broad impressions about a country based on high levels of violent crime in specific locations impacting foreign direct investment (FDI) across the country.

The authors analyze the impact of homicides on FDI by source country into Mexican states from 2001 to 2015. They estimate fixed effect and dynamic panel models controlling for several determinants of FDI at the state level and the potential geographic spillover of such violence from adjacent states.

The authors find robust support for the existence of a geographic halo effect caused by violent crime. The results show that the highest number of state homicides is associated with lower FDI across states.

The research provides some evidence of the potential role of cognitive biases on FDI decisions. In addition, its focus on Latin America brings attention to an understudied region in international business research.

For practitioners engaged in FDI decisions, the results imply the need to be more aware of potential cognitive biases that may influence them.

Few papers have explored the influence of cognitive biases on FDI.