The complexity dilemma: Three tips for dealing with complexity in organizations

Today storm-tossed markets call managers to take a stand on the rising up of external complexity. Organisations are constantly facing a crossroad (complexity dilemma): To accept and nurture complexity, or to avoid and reduce it. The first option can be traced back to Ashby\u2019s Law of Requisite Variety, 1. while the second comes from Luhmann\u2019s Complexity Reduction, 2. Both Ashby and Luhmann theories are valid due to an inverted U-shaped relation between complexity and firm\u2019s performance, called \u201ccomplexity curve\u201d. Once fixed the amount of external complexity, performance increase as internal complexity increase, till reaching a tipping point; after that point, an overburden of complexity sinks performance. To solve Ashby-Luhmann trade-off on complexity, and moving over the complexity curve, we suggest that complex organizing may be facilitated by a simple design through (i) modularity, (ii) simple rules, and (iii) organisational capabilities

The Extended Map methodology: Technology roadmapping for SMES clusters

For small medium enterprises, customization of roadmapping is required. Although the phases of its process are solid and shared in the literature, the sub-phases and specific activities to be undertaken are only mentioned and do not provide sufficient guidance for implementation. The paper proposes a new methodology for the implementation of technology roadmapping. The research strategy is based on action research with two cycles of action. The first cycle (Opportunity profile) simplifies the traditional methodology. The second cycle (Extended Map) relies on collaboration of small medium enterprises coordinated by an intermediary and adds an ecosystem view to the methodology. \ua9 2015 Elsevier B.V. All rights reserved

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

A methodology for the assessment of experiential learning lean: The lean experience factory case study

Purpose \u2013 The purpose of this paper is to present a methodology to assess the experiential learning processes of learning lean in an innovative learning environment: the lean model factories. Design/methodology/approach \u2013 A literature review on learning and lean management literatures was carried out to design the methodology. Then, a case study methodology was used to test the framework. Findings \u2013 The methodology permitted to asses learning processes and course contents of educational dynamics carried out in model factories and to theoretically ground such learning processes. The test showed that learning lean management is supported through a complete coverage of the eight phases of the learning path. Research limitations/implications \u2013 The methodology contributes to the literatures of lean management and experiential learning, proposing a methodology of assessment. Part of the framework could also be applied to other disciplines. Practical implications \u2013 The methodology could be used for two purposes: to design training courses or to assess existing experiential learning courses. Originality/value \u2013 Due to its intrinsic complexity, learning literature presents few practical framework or tools. Among them, none have provided practical and theoretical-based advice on how to use experiential learning precepts to teach lean managemen

Diabetic ketoacidosis at the onset of disease during a national awareness campaign: a 2-year observational study in children aged 0-18 years

After a previous survey on the incidence of diabetic ketoacidosis (DKA) at onset of type 1 diabetes in children in 2013-2014 in Italy, we aimed to verify a possible decline in the incidence of DKA at onset during a national prevention campaign

Has COVID-19 Delayed the Diagnosis and Worsened the Presentation of Type 1 Diabetes in Children?

Objective: To evaluate whether the diagnosis of pediatric type 1 diabetes or its acute complications changed during the early phase of the coronavirus disease 2019 (COVID-19) pandemic in Italy. Research design and methods: This was a cross-sectional, Web-based survey of all Italian pediatric diabetes centers to collect diabetes, diabetic ketoacidosis (DKA), and COVID-19 data in patients presenting with new-onset or established type 1 diabetes between 20 February and 14 April in 2019 and 2020. Results: Fifty-three of 68 centers (77.9%) responded. There was a 23% reduction in new diabetes cases in 2020 compared with 2019. Among those newly diagnosed patient who presented in a state of DKA, the proportion with severe DKA was 44.3% in 2020 vs. 36.1% in 2019 (P = 0.03). There were no differences in acute complications. Eight patients with asymptomatic or mild COVID-19 had laboratory-confirmed severe acute respiratory syndrome coronavirus 2. Conclusions: The COVID-19 pandemic might have altered diabetes presentation and DKA severity. Preparing for any "second wave" requires strategies to educate and reassure parents about timely emergency department attendance for non-COVID-19 symptoms

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

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe