How does complexity influence learning in projects? A multiple case study

This work aims to analyse the effects of complexity on decisions and learning in project-based organisations. Complexity is widely acknowledged as one of the main characteristics affecting project outcomes. We investigated factors giving rise to it and the subsequent organisational learning as new and codified knowledge to innovate project operations and we based our analysis on data collected from a sample of vessels projects in a leading company of shipbuilding. Results show that projects with a medium level of complexity (where factors such as variety of technologies and scale were limited but present) enabled learning and better subsequent operational decision-making

Self-Organised Schools

Self-Organised Schools: Educational Leadership and Innovative Learning Environments describes the results of the research we carried out at fourteen Italian schools that highlight how there is a positive correlation between the capabilities of school self-organization and the innovativeness of learning environments: in other words, the more self-organized schools are, the more innovative learning environments are. The results of this work are part of the strand of research of bottom-up emergency and self-organization, an extremely fruitful trend as shown by Sugata Mitra, the founder of the Self-Organized Learning Environments, according to whom, "education is a self-organized system where learning is an emerging phenomenon". This book gives new insights on self-organization studies, and most of all, to the idea that change - organizational and educational innovation - sparks from the bottom. This book is aimed specifically at school principals of all levels, scholastic reformers, educational scholars, organisation and management consultants who want to innovate learning and management of learning. These actors will benefit drawing useful examples from more than thirty different learning environments worldwide, fourteen examples of schools that self-organize, two frameworks - and two ready-to-use questionnaires - measuring the innovativeness of a learning environment, and the capability of a school to self-organize. Self-organization is the most fascinating future of innovative principal

Framing open innovation in start-ups' incubators: A complexity theory perspective

Recently, concepts and principles from the Complexity Theory (or, generally speaking, the complexity sciences) have been applied as a perspective for capturing the influence of the context, interaction, and adaption in the innovation processes, such as the ones enabled in the business incubators. The purpose of this paper is to implement a frame of reference for understanding the start-ups’ incubator as a complex system where innovation, learning, and self-organization take place. We build on the interfaces between the Complexity Theory (i.e., complexity sciences) and Open Innovation literature to identify principles, patterns, and conditions that frame the incubation practices as simple rules aimed to sustain the innovation process towards the creation of new ventures. Results from the multiple case studies conducted in five incubators show that the features of variety, nonlinear interaction, interdependence, autonomy, and emergence of the incubation process framed as a complex system are enabled in different ways by the combination of the open innovation practices and services provided by the start-ups’ incubators, including the provision of physical infrastructure, access to funding streams, experts/entrepreneurs networking, education/workshops, mentorship, and advice

The impact of implementation process on the perception of enterprise resource planning success

Purpose \u2013 The purpose of this paper is to investigate the impact of the implementation process on the ERP\u2019s success in the post-adoption stage, measured as system\u2019s acceptance, reliability and utility perceived by users, inside the organizations. Design/methodology/approach \u2013 The authors adopted a multiple case study research design. The data collected, provided by IT managers and 120 key-users from four companies, has been used to investigate the impact of the Enterprise Resource Planning (ERP) implementation phases on selected constructs of the Task-Technology Fit (TTF) and Technology Acceptance Model (TAM). The empirical evidences highlight a direct relation between the effectiveness of the implementation phases and the ERP\u2019s success. Findings \u2013 The research results emphasize the importance of the quality of the software, but especially the importance of the implementation phases\u2019 management, which require technical and managerial ability of the team made up of people from the system integrator and the company\u2019s key-users. Evidences suggest that the higher will be the organizational diffusion of an ERP implemented during a successful implementation project, the higher will be the perception of ERP success in the post-adoption stage. Moreover, the users\u2019 perception of ERP quality will be maintained over time. Research limitations/implications \u2013 The research has some limits due to its exploratory nature and to the chosen research approach, so the results may lack generalizability; consequently future research will concern with enlargement of the sample that will allow a better generalization of the results. Practical implications \u2013 This exploratory study suggest that companies\u2019 managers should be aware that a correct methodology of implementation, strongly influenced by the team, impacts on the technology consistency and therefore, on the ERP system success. So an appropriate choice is to invest more in the creation and development of internal and external project team than in the ERP\u2019s brand. Originality/value \u2013 This paper fulfils an identified need to clarify the explicit relationship between the quality of implementation phases and the subsequent ERP success in the post-adoption stage measured in terms of users\u2019 perception of information system qualit

VALS: Virtual Alliances for Learning Society

[EN] VALS has the aims of establishing sustainable methods and processes to build knowledge partnerships between Higher Education and companies to collaborate on resolving authentic business problems through open innovation mediated by the use of Open Source Software. Open Source solutions provide the means whereby educational institutions, students, businesses and foundations can all collaborate to resolve authentic business problems. Not only Open Software provides the necessary shared infrastructure and collaborative practice, the foundations that manage the software are also hubs, which channel the operational challenges of their users through to the people who can solve them. This has great potential for enabling students and supervisors to collaborate in resolving the problems of businesses, but is constrained by the lack of support for managing and promoting collaboration across the two sectors. VALS should 1) provide the methods, practice, documentation and infrastructure to unlock this potential through virtual placements in businesses and other public and private bodies; and 2) pilot and promote these as the “Semester of Code”. To achieve its goals the project develops guidance for educational institutions, and for businesses and foundations, detailing the opportunities and the benefits to be gained from the Semester of Code, and the changes to organisation and practice required. A Virtual Placement System is going to be developed, adapting Apache Melange, and extending it where necessary. In piloting, the necessary adaptations to practice will be carried out, particularly in universities, and commitments will be established between problem owners and applicants for virtual placements

Age, Successive Waves, Immunization, and Mortality in Elderly COVID-19 Haematological Patients: EPICOVIDEHA Findings

Introduction: elderly patients with haematologic malignancies face the highest risk of severe COVID-19 outcomes. The infection impact in different age groups remains unstudied in detail. Methods: We analysed elderly patients (age groups: 65-70, 71-75, 76-80 and >80 years old) with hematologic malignancies included in the EPICOVIDEHA registry between January 2020 and July 2022. Univariable and multivariable Cox regression models were conducted to identify factors influencing death in COVID-19 patients with haematological malignancy. results: the study included data from 3,603 elderly patients (aged 65 or older) with haematological malignancy, with a majority being male (58.1%) and a significant proportion having comorbidities. The patients were divided into four age groups, and the analysis assessed COVID-19 outcomes, vaccination status, and other variables in relation to age and pandemic waves.tThe 90-day survival rate for patients with COVID-19 was 71.2%, with significant differences between groups. The pandemic waves had varying impacts, with the first wave affecting patients over 80 years old, the second being more severe in 65-70, and the third being the least severe in all age groups. factors contributing to 90-day mortality included age, comorbidities, lymphopenia, active malignancy, acute leukaemia, less than three vaccine doses, severe COVID-19, and using only corticosteroids as treatment. Conclusions: These data underscore the heterogeneity of elderly haematological patients, highlight the different impact of COVID waves and the pivotal importance of vaccination, and may help in planning future healthcare efforts

PTPA variants and impaired PP2A activity in early-onset parkinsonism with intellectual disability

The protein phosphatase 2A complex (PP2A), the major Ser/Thr phosphatase in the brain, is involved in a number of signalling pathways and functions, including the regulation of crucial proteins for neurodegeneration, such as alpha-synuclein, tau and LRRK2. Here, we report the identification of variants in the PTPA/PPP2R4 gene, encoding a major PP2A activator, in two families with early-onset parkinsonism and intellectual disability. We carried out clinical studies and genetic analyses, including genome-wide linkage analysis, whole-exome sequencing, and Sanger sequencing of candidate variants. We next performed functional studies on the disease-associated variants in cultured cells and knock-down of ptpa in Drosophila melanogaster. We first identified a homozygous PTPA variant, c.893T&gt;G (p.Met298Arg), in patients from a South African family with early-onset parkinsonism and intellectual disability. Screening of a large series of additional families yielded a second homozygous variant, c.512C&gt;A (p.Ala171Asp), in a Libyan family with a similar phenotype. Both variants co-segregate with disease in the respective families. The affected subjects display juvenile-onset parkinsonism and intellectual disability. The motor symptoms were responsive to treatment with levodopa and deep brain stimulation of the subthalamic nucleus. In overexpression studies, both the PTPA p.Ala171Asp and p.Met298Arg variants were associated with decreased PTPA RNA stability and decreased PTPA protein levels; the p.Ala171Asp variant additionally displayed decreased PTPA protein stability. Crucially, expression of both variants was associated with decreased PP2A complex levels and impaired PP2A phosphatase activation. PTPA orthologue knock-down in Drosophila neurons induced a significant impairment of locomotion in the climbing test. This defect was age-dependent and fully reversed by L-DOPA treatment. We conclude that bi-allelic missense PTPA variants associated with impaired activation of the PP2A phosphatase cause autosomal recessive early-onset parkinsonism with intellectual disability. Our findings might also provide new insights for understanding the role of the PP2A complex in the pathogenesis of more common forms of neurodegeneration.</p

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe