EU–originated MOOCs, with focus on multi- and single-institution platforms

No abstract available

D7.4 Validation 4

Armitt, G., Stoyanov, S., Hensgens, J., Smithies, A., Braidman, I., Mauerhofer, C., Osenova, P., Simov, K., Berlanga, A. J., Van Bruggen, J., Greller, W., Rebedea, T., Posea, V., Trausan-Matu, S., Dupre, D., Salem, H., Dessus, P., Loiseau, M., Westerhout, E., Monachesi, P., Koblische, R., Hoisl, B., Haley, D., & Wild, F. (2011). D7.4 Validation 4. LTfLL-project.This deliverable describes the objectives, approach, planning and results of the third pilot round, in which both individual and threaded services underwent validation. The two goals of this round were to provide input to the LTfLL exploitation plan and roadmap (deliverable 2.5). 531 participants (316 learners) took part in the pilots, which used LTfLL services based on five different languages. The average timespan of the pilots was three weeks and involved learners, tutors, teaching managers, the LTfLL team and Technology Enhanced Learning experts. The validation approach was based on Prototypical Validation Topics derived from the Round 2 validation topics, which refocused the validation topics on exploitation and allowed conclusions to be drawn across all services. Results demonstrated the areas of strength and weakness of each service, informing the selling points and barriers to adoption within the exploitation strategy, as well as suggesting possible further contexts of use. All services were noted to have high relevance in addressing burning issues for organizations, but further improvements to accuracy from a user viewpoint are required. Results on future enhancements to improve likelihood of adoption contribute to the roadmap. Results also provide an indication of each service's current readiness for adoption and provided insights into transferability issues. The overall conclusion is that some LTfLL services are more ready than others for adoption now, with some being currently more suited to sustainability in research settings.The work on this publication has been sponsored by the LTfLL STREP that is funded by the European Commission's 7th Framework Programme. Contract 212578 [http://www.ltfll-project.org

Achieving Sustainability Through Geodata: An Empirical Study of Challenges and Barriers

Master's thesis in Information systems (IS501)Research within data management is often based on the elements of the data lifecycle. Organizations and businesses are also becoming more interested in data lifecycle management to leverage their data streams, compounded by an interest in geographical attributes within the data –referred to as geodata. Geodata provides a richer basis for analysis and is increasingly important within urban planning. Furthermore, the pressure to achieve sustainability goals calls for improving the data lifecycle. The challenge remainsas to what can be improvedwithin the data lifecycle –with geodata as an important input –to achieve sustainability dimensions. Our main contribution through this study is shedding light on challenges withgeodata from an Information Systems (IS) and sustainability perspective. Additionally, the identified challenges are also feedback to data management research and the data lifecycle

Exploring Government Contractor Experiences Assessing and Reporting Software Development Status

Reports from academic, commercial, and government organizations have documented software-intensive system cost and schedule overruns for decades. These reports have identified lack of management insight into the software development process as one of many contributing factors. Multiple management mechanisms exist. However, these mechanisms do not support the assessment, and subsequent reporting, of software completion status. Additionally, the conceptual framework, based on industry standards, is limited in its relevance to this study due to an emphasis on what is needed while deferring implementation details. The purpose of this phenomenological study was to explore U.S. government contractors\u27 lived experiences of assessing and reporting software completion status with current measurement mechanisms. Twenty program or project managers responded to interview questions targeting positive and challenging experiences with current measurement mechanisms. Qualitative analysis of the experiential data was based on open and axial coding conducted on interview transcripts. Analysis indicated that costly resources are applied to metrics that do not provide the required level of management insight into completion status. These findings have positive social change implications for program managers, project managers, and researchers by documenting the need to develop relevant and cost-efficient status metrics to provide the critical insight required by management to reduce overruns

Driving Strategy with Employees: A sustainable Maturity Model approach for Intraorganizational Online Collaboration

Die vorliegende Dissertation untersucht die digitalen Transformationen in der Arbeitswelt und die daraus resultierenden Anforderungen an die Intraorganisatorische Online-Zusammenarbeit (IOC). Vor dem Hintergrund der dynamischen VUCA-Welt wird die Notwendigkeit hervorgehoben, die IOC-Fähigkeiten von Organisationen ganzheitlich zu bewerten und zu verbessern. Als zentrale wissenschaftliche Beiträge werden ein umfassender Anforderungskatalog für IOC-Steuerungsinstrumente dokumentiert und angewendet, die IOC-Literatur durch die systematische Aufarbeitung von 334 wissenschaftlichen Publikationen synthetisiert und deren Erfolgsfaktoren kategorisiert. Zudem wird ein IOC-Reifegradmodell mit domänenrelevanten Fähigkeiten und einer Entwicklungsstrategie vorgestellt. Der DEDAC-Reifegradmodell-Rahmen stellt einen domänenunabhängigen konzeptuellen Ansatz zur Verbesserung der Reifegradmodell-Praktikabilität dar, ergänzt durch Richtlinien für die Gestaltung von Delphi-Studien zur Reifegradmodell-Entwicklung. Aus praktischer Perspektive bietet die Arbeit einen Anforderungskatalog für IOC-Steuerungsinstrumente, eine systematische Übersicht über IOC-Erfolgsfaktoren, eine Kategorisierung und einen Reifepfad für das Management von IOC. Der DEDAC-Reifegradmodell-Rahmen dient zudem als Ansatz zur Steuerung und kontinuierlichen Verbesserung von IOC und anderen Bereichen. Trotz der umfangreichen Beiträge gibt es Limitationen, insbesondere die fehlende weitere Evaluierung des DEDAC-Reifegradmodell-Rahmens und die fehlende praktische Anwendung des IOC-Reifegradmodell-Prototyps in Organisationen. Zukünftige Forschungen könnten sich auf die Anwendung und Evaluation des IOC-Reifegradmodell-Prototyps in realen Organisationen konzentrieren, die Anpassungsfähigkeit an die Organisation untersuchen und den Reifepfad dynamisieren

Strategies to Improve Data Quality for Forecasting Repairable Spare Parts

Poor input data quality used in repairable spare parts forecasting by aerospace small and midsize enterprises (SME) suppliers results in poor inventory practices that manifest into higher costs and critical supply shortage risks. Guided by the data quality management (DQM) theory as the conceptual framework, the purpose of this exploratory multiple case study was to identify the key strategies that the aerospace SME repairable spares suppliers use to maximize their input data quality used in forecasting repairable spare parts. The multiple case study comprised of a census sample of 6 forecasting business leaders from aerospace SME repairable spares suppliers located in the states of Florida and Kansas. The sample was collected via semistructured interviews and supporting documentation from the consenting participants and organizational websites. Eight core themes emanated from the application of the content data analysis process coupled with methodological triangulation. These themes were labeled as establish data governance, identify quality forecast input data sources, develop a sustainable relationship and collaboration with customers and vendors, utilize a strategic data quality system, conduct continuous input data quality analysis, identify input data quality measures, incorporate continuous improvement initiatives, and engage in data quality training and education. Of the 8 core themes, 6 aligned to the DQM theory\u27s conceptual constructs while 2 surfaced as outliers. The key implication of the research toward positive social change may include the increased situational awareness for SME forecasting business leaders to focus on enhancing business practices for input data quality to forecast repairable spare parts to attain sustainable profits

EU–originated MOOCs, with focus on multi- and single-institution platforms

No abstract available