In this paper we present the results of an international comparative research conducted through a special web survey, i.e. an online 'game' to rate and classify Critical Success Factors (CFSs) for BPMS implementations. The survey was completed by 39 respondents from 11 different countries. Central to the research was the question how BPM-systems success factors are perceived by professionals from different countries (i.e. cultural backgrounds) and how this is related to other characteristics such as their level of experience within the BPM domain. The respondents judged a total of 55 factors in two ways: (1) by allocating them to one of the five domains of BPMS implementation, and (2) by ranking their importance for BPMS implementations. Significant differences were found between respondents from Northern European versus Anglo-American countries, and between respondents with different levels of experience with BPMS implementations.
In case of a major cyber incident, organizations usually rely on external providers of Cyber Incident Response (CIR) services. CIR consultants operate in a dynamic and constantly changing environment in which they must actively engage in information management and problem solving while adapting to complex circumstances. In this challenging environment CIR consultants need to make critical decisions about what to advise clients that are impacted by a major cyber incident. Despite its relevance, CIR decision making is an understudied topic. The objective of this preliminary investigation is therefore to understand what decision-making strategies experienced CIR consultants use during challenging incidents and to offer suggestions for training and decision-aiding. A general understanding of operational decision making under pressure, uncertainty, and high stakes was established by reviewing the body of knowledge known as Naturalistic Decision Making (NDM). The general conclusion of NDM research is that experts usually make adequate decisions based on (fast) recognition of the situation and applying the most obvious (default) response pattern that has worked in similar situations in the past. In exceptional situations, however, this way of recognition-primed decision-making results in suboptimal decisions as experts are likely to miss conflicting cues once the situation is quickly recognized under pressure. Understanding the default response pattern and the rare occasions in which this response pattern could be ineffective is therefore key for improving and aiding cyber incident response decision making. Therefore, we interviewed six experienced CIR consultants and used the critical decision method (CDM) to learn how they made decisions under challenging conditions. The main conclusion is that the default response pattern for CIR consultants during cyber breaches is to reduce uncertainty as much as possible by gathering and investigating data and thus delay decision making about eradication until the investigation is completed. According to the respondents, this strategy usually works well and provides the most assurance that the threat actor can be completely removed from the network. However, the majority of respondents could recall at least one case in which this strategy (in hindsight) resulted in unnecessary theft of data or damage. Interestingly, this finding is strikingly different from other operational decision-making domains such as the military, police and fire service in which there is a general tendency to act rapidly instead of searching for more information. The main advice is that training and decision aiding of (novice) cyber incident responders should be aimed at the following: (a) make cyber incident responders aware of how recognition-primed decision making works; (b) discuss the default response strategy that typically works well in several scenarios; (c) explain the exception and how the exception can be recognized; (d) provide alternative response strategies that work better in exceptional situations.
Can computers talk like humans? Look like humans? Behave like humans? Project Virtual Humans in the Brabant Economy (VIBE) focuses on developing and testing virtual humans to make this happen. The virtual humans developed by VIBE will be able to communicate with normal people in a natural way, both verbal and non-verbal, and deliver a valuable contribution to the training of healthcare professionals. The agents developed by VIBE can be used in any training simulation in various instances, including virtual, mixed and augmented reality.VIBE agents are designed to also allow customization for other domains to enhance training and education programs even beyond the healthcare domain.Funding:EU EFRO, Province of Noord Brabant, municipalities.