This paper reports a study into the relationship between the configuration of the process of Strategic Information Systems Planning (SISP) and the success of SISP. SISP is an important activity in the alignment of information technology systems and services to business requirements. However, despite the obvious importance of a proper planning of information technology and information systems in organizations, success of SISP is not evident. And as the success of SISP is also influenced by the process followed in developing the SISP, the research question for this study was, “How does the configuration of the SISP process influence the success of the SISP?” Based on an explorative multi case study, we concluded that the specificity and comprehensiveness of strategies, goals and decisions in an organization has a positive effect on the success of SISP. Another conclusion was that a more dominant role of the IS/IT organization in the SISP process influences the quality of the SISP deliverable positively, but has a negative effect on the building of partnership between business and IT in the organization. A final conclusion was that following a formal SISP methodology does not seem to have an effect on the success of SISP. These findings provide guidance for practitioners that plan to develop an SISP as part of their efforts to align business and IT.
Poster displayed at the BC&E conference in Hamburg 2014, regarding the Flexigas Simulator, a map based model for designing and planning biogas production chains.
Nurses are accountable to apply the nursing process, which is key for patient care: It is a problem-solving process providing the structure for care plans and documentation. The state-of-the art nursing process is based on classifications that contain standardized concepts, and therefore, it is named Advanced Nursing Process. It contains valid assessments, nursing diagnoses, interventions, and nursing-sensitive patient outcomes. Electronic decision support systems can assist nurses to apply the Advanced Nursing Process. However, nursing decision support systems are missing, and no "gold standard" is available. The study aim is to develop a valid Nursing Process-Clinical Decision Support System Standard to guide future developments of clinical decision support systems. In a multistep approach, a Nursing Process-Clinical Decision Support System Standard with 28 criteria was developed. After pilot testing (N = 29 nurses), the criteria were reduced to 25. The Nursing Process-Clinical Decision Support System Standard was then presented to eight internationally known experts, who performed qualitative interviews according to Mayring. Fourteen categories demonstrate expert consensus on the Nursing Process-Clinical Decision Support System Standard and its content validity. All experts agreed the Advanced Nursing Process should be the centerpiece for the Nursing Process-Clinical Decision Support System and should suggest research-based, predefined nursing diagnoses and correct linkages between diagnoses, evidence-based interventions, and patient outcomes.
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
Aanleiding: Automatisering kan leiden tot beter gebruik van materialen en afval reduceren. Dit brengt verbeteringen met zich mee voor 'people, planet and profit' (PPP) - mensen, het milieu en de winst. Een specifieke vorm van automatisering, de ontwikkeling van zelfrijdende auto's en vrachtauto's, gaat snel. Maar om zelfrijdende voertuigen beschikbaar te maken is er nog veel onderzoek en ontwikkeling nodig op verschillende gebieden. Er zijn nog veel vragen te beantwoorden op het gebied van onder andere truckontwerp, betrouwbare software, aansprakelijkheid, trajectplanning en logistiek. Doelstelling Het doel van het Intralog-project is om voor de maatschappij en de private sector een significante bijdrage te leveren aan de mogelijkheden van zelfrijdende voertuigen in de commerciële transportsector. Het Intralog-project onderzoekt de toegevoegde waarde voor PPP van 'automated guided trucks' (AGT's) aan logistieke operaties bij distributiecentra en interterminal/intermodal traffic hubs. Dit gebeurt in twee stappen: 1) het identificeren van het potentieel met betrekking tot de vraag vanuit de logistieke omgeving; 2. het ontwerpen, realiseren, testen en valideren van mogelijke strategieën voor het implementeren van AGT's in een logistiek scenario. Beoogde resultaten Het concrete resultaat van het project bestaat uit onderzoekstools en hardware- en softwaremodellen voor Intralog. Deze bieden een goede mogelijkheid om de opgedane kennis te verspreiden. De projectdeelnemers zullen bijdragen aan workshops, tentoonstellingen en in Nederland georganiseerde symposia. De onderzoeksresultaten verspreiden ze op conferenties en door middel van publicaties in technische vakbladen. De uiteindelijke Intralog-resultaten worden gepresenteerd op een afsluitend congres. De resultaten zullen worden samengevat in een boekje.
Governments, fishermen, dredgers, nature organizations and researchers see that sand stocks are dwindling worldwide, while more and more sand from the North Sea will be needed to protect our coast against rising sea levels. We also extract a lot of sand in the Netherlands, especially from the North Sea. Every year we extract about 12 to 15 million cubic meters to protect our coast and about 15 million cubic meters as filling sand for roads and residential areas and for concrete and masonry sand. Every year we excavate a piece of seabed with the surface of the Schiermonnikoog island at a depth of about eighty centimeters. But our sand requirement continues to rise. Not only because we want to build more roads, homes and residential areas, but also because rising sea levels mean we need more and more sand for coastal protection. In this project a consortium of 21 partners and stakeholders will develop new knowledge and tools about the effects of sand extraction, with the goal to understand how it may be done sustainably despite the rising need for it. The project is led by Wageningen Marine Research and has been awarded funding under the ‘Onderzoek op Routes door Consortia’ (NWA ORC-call 2020/2021) scheme of the Dutch Research Council (NWO). Breda University of Applied Sciences will contribute with its MSP Challenge Simulation Platform, thereby developing and applying a bespoke sand extraction oriented North Sea edition, in close collaboration with data and simulation providing partners in the project.
