BACKGROUND: The available opinions regarding participation do not appear to be applicable to adults with visual and severe or profound intellectual disabilities (VSPID). Because a clear definition and operationalization are lacking, it is difficult for support professionals to give meaning to participation for adults with VSPID.AIMS: The purpose of the present study was to develop a definition and operationalization of the concept of participation of adults with VSPID.METHODS: Parents or family members, professionals, and experts participated in an online concept mapping procedure. This procedure includes generating statements, clustering them, and rating their importance. The data were analyzed quantitatively using multidimensional scaling and qualitatively with triangulation.RESULTS: A total of 53 participants generated 319 statements of which 125 were clustered and rated. The final cluster map of the statements contained seven clusters: (1) Experience and discover; (2) Inclusion; (3) Involvement; (4) Leisure and recreation; (5) Communication and being understood; (6) Social relations; and (7) Self-management and autonomy. The average importance rating of the statements varied from 6.49 to 8.95. A definition of participation of this population was developed which included these seven clusters.CONCLUSIONS: The combination of the developed definition, the clusters, and the statements in these clusters, derived from the perceptions of parents or family members, professionals, and experts, can be employed to operationalize the construct of participation of adults with VSPID. This operationalization supports professionals in their ability to give meaning to participation in these adults. Future research will focus on using the operationalization as a checklist of participation for adults with VSPID.
DOCUMENT
Few evidence-based methods for case management in child protection and child welfare are available. That is why Youth Protection Amsterdam Area developed a new method, by integrating their best practices: Intensive Family Case Management (IFCM). Because IFCM was developed in practice, clarity about its core elements and behavior acts was lacking. The purpose of this study was to establish a valid operationalization of IFCM used for implementation purposes such as training, clinical supervision and monitoring. A 74-item draft was developed to describe the behavioral acts of IFCM, based on a literature study and analysis of internal documents and training. To ensure content validity, a Delphi study was conducted. Over two rounds, professionals (1) rated the behavioral acts needed in the application of IFCM on a five-point Likert scale and (2) provided their preferred terminology. Items with consensus ratings of 80 % or more were included in the final description. Selected IFCM experts rated the behavior acts over two rounds. The initial list with 74 behavior acts was reduced to 55 acts with a consensus of 80 % or more. Certain behavior acts were combined, others did not lead to consensus. Based on experts’ feedback, the initial terminology of 46 behavior acts was modified. The final 55 acts were categorized in ten core elements. This study explicates the core elements of IFCM and describes the 55 necessary behavior acts in preferred and recognizable terminology. The study describes implications of these findings for the practice and gives recommendations for future research.
DOCUMENT
Big data analytics received much attention in the last decade and is viewed as one of the next most important strategic resources for organizations. Yet, the role of employees' data literacy seems to be neglected in current literature. The aim of this study is twofold: (1) it develops data literacy as an organization competency by identifying its dimensions and measurement, and (2) it examines the relationship between data literacy and governmental performance (internal and external). Using data from a survey of 120 Dutch governmental agencies, the proposed model was tested using PLS-SEM. The results empirically support the suggested theoretical framework and corresponding measurement instrument. The results partially support the relationship of data literacy with performance as a significant effect of data literacy on internal performance. However, counter-intuitively, this significant effect is not found in relation to external performance.
MULTIFILE
Prompt and timely response to incoming cyber-attacks and incidents is a core requirement for business continuity and safe operations for organizations operating at all levels (commercial, governmental, military). The effectiveness of these measures is significantly limited (and oftentimes defeated altogether) by the inefficiency of the attack identification and response process which is, effectively, a show-stopper for all attack prevention and reaction activities. The cognitive-intensive, human-driven alarm analysis procedures currently employed by Security Operation Centres are made ineffective (as opposed to only inefficient) by the sheer amount of alarm data produced, and the lack of mechanisms to automatically and soundly evaluate the arriving evidence to build operable risk-based metrics for incident response. This project will build foundational technologies to achieve Security Response Centres (SRC) based on three key components: (1) risk-based systems for alarm prioritization, (2) real-time, human-centric procedures for alarm operationalization, and (3) technology integration in response operations. In doing so, SeReNity will develop new techniques, methods, and systems at the intersection of the Design and Defence domains to deliver operable and accurate procedures for efficient incident response. To achieve this, this project will develop semantically and contextually rich alarm data to inform risk-based metrics on the mounting evidence of incoming cyber-attacks (as opposed to firing an alarm for each match of an IDS signature). SeReNity will achieve this by means of advanced techniques from machine learning and information mining and extraction, to identify attack patterns in the network traffic, and automatically identify threat types. Importantly, SeReNity will develop new mechanisms and interfaces to present the gathered evidence to SRC operators dynamically, and based on the specific threat (type) identified by the underlying technology. To achieve this, this project unifies Dutch excellence in intrusion detection, threat intelligence, and human-computer interaction with an industry-leading partner operating in the market of tailored solutions for Security Monitoring.
The research results, the identified success factors for the Innovation Lab HIBO, will make it clear what is needed for the Innovation Lab HIBO in order to succeed: (a) with regard to design and further development of the Innovation Lab HIBO, as well as (b) with regard to conditions that need to be created and prerequisites that need to be followed for the successful functioning of the Innovation Lab HIBO. From September 2020 the follow up research is planned into operationalization of success factors, definition of performance criteria, performance evaluation, development of suggestions for improvement of performance, and development of a blueprint. In fulfilment of interinstitutional agreements on educational quality, specifically, the Agreement on Quality 2.6 [Kwaliteitsafspraak 2.6: “het faciliteren van docenten om te onderzoeken wat de succesfactoren zijn van leergemeenschappen en hun onderwijspraktijk, inclusief het leren van docent-onderzoekers”], the sub-theme No.7 “Valorisatie van de effecten van IWP’s. Succesfactoren IWP's”, the research on success factors for the Innovation Lab Hanze International Business Office (HIBO) will be carried on in the period from February 1, 2020, till August 30, 2020.
