This article presents an evaluation study of a case management method for child protection services, the Delta Method for Family Supervision, in terms of supervision order duration and occurrence and duration of out-of-home placements. Additionally, case and case manager characteristics were examined. Data was collected about 224 cases, 58 case managers and 30 team managers of all 15 offices of the Child and Youth Protection Services in the Netherlands. In all cases the Delta Method was applied. Data were obtained by interviews, questionnaires and case files. Multi-level analysis was performed to study the influence of independent variables on supervision order duration, and the occurrence and duration of out-of-home placements. Case characteristics related to 87% of the differences in the duration of supervision order, case manager characteristics to 13% of the differences. Some case manager characteristics about applying the Delta Method were significantly related to shorter duration of the supervision order and the occurrence and duration of out-of-home placement. Case characteristics also showed strong relations. Together with the more general aspects of case management supported by this study, such as a one family and one worker approach, this contributes to a more effective practice of case management for child protection services.
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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.
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During the timespan of the implementation of a system, the why and what against the actual state of the system can change. This difference is referred to as the design problem. Currently, no design problems are identified in Business Rules Management (BRM) and Business Rules Management System (BRMS) literature. To solve problems with a BRMS implementation it is important that the problems solved by this implementation are known, which is not the case. A case study approach is utilized containing two phases of data collection. Phase one consisted of multiple expert interviews focused on creating a set of design problems utilizing existing literature on BRMS design problems. Then, in phase two, the set of design problems were proposed to a selection of thirteen organizations, which indicated if the design problems occurred in a BRMS implementation. This resulted in a set of 24 design problems. The identification of design problems contributes to future research in evaluating BRMS’s. Furthermore, the identification of design problems is a contribution towards situational artifact construction in the field of BRM.
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In het project werken onderzoekers van het Lectoraat samen met publieke organisaties toe naar een tool waarmee onderstromen in het publieke debat rondom issues eerder kunnen worden opgemerkt. We exploreren met welk algoritme we patronen in geruchtvorming en mobilisatie kunnen opsporen, en tevens hoe we de interactie tussen newsroom-analisten en de output van een monitoring tool het beste kunnen vormgeven.Doel Het doel van dit project is een brede en structureel toepasbare aanpak van het issuemanagement: Hoe kunnen de communicatieprofessionals van publieke organisaties potentiële issues op sociale media vroegtijdig opmerken? Resultaten We willen dit bereiken door enerzijds kennis en inzicht te vergaren en anderzijds de uitkomsten daarvan voor publieke organisaties te vertalen in praktische handgrepen: tools, handleiding, training. Looptijd 01 oktober 2022 - 30 september 2024 Aanpak Via cases ingebracht door de praktijkpartners en focusgroepen staan we in nauw contact met het consortium. In de eerste werkpakketten onderzoeken we de verschillende cases aan de hand van discoursanalyse. De inzichten die we hierbij opdoen, gebruiken we vervolgens om te bekijken hoe we de interactie tussen mens en machine het beste kunnen vormgeven en wel zo dat er ten behoeve van de communicatie en het management van issues via interactieve visualisaties steeds weer triggers afgegeven worden. Op basis van de opgedane inzichten richten we een interface in. Deze maakt het analisten en communicatieprofessionals mogelijk om vroegtijdig issues te signaleren.
In het project werken onderzoekers van het Lectoraat samen met publieke organisaties toe naar een tool waarmee onderstromen in het publieke debat rondom issues eerder kunnen worden opgemerkt. We exploreren met welk algoritme we patronen in geruchtvorming en mobilisatie kunnen opsporen, en tevens hoe we de interactie tussen newsroom-analisten en de output van een monitoring tool het beste kunnen vormgeven.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Lectoraat, onderdeel van NHL Stenden Hogeschool
