Evolving a core Banking enterprise architecture: leveraging business events exploitation

Business information has become a critical asset for companies and it has even more value when obtained and exploited in real time. This paper analyses how to integrate this information into an existing banking Enterprise Architecture, following an event-driven approach, and entails the study of three main issues: the definition of business events, the specification of a reference architecture, which identifies the specific integration points, and the description of a governance approach to manage the new elements. All the proposed solutions have been validated with a proof-of-concept test bed in an open source environment. It is based on a case study of the banking sector that allows an operational validation to be carried out, as well as ensuring compliance with non-functional requirements. We have focused these requirements on performance.

Enterprise management and ERP development:case study of Zoomlion using dynamic enterprise reference grid

The enterprise management approach provides a holistic view of organizations and their related information systems. In order to cope with the globalization, virtualization, and volatile competitive environment, traditional firms are seeking to reconstruct their organizational structures and establish new IS architectures to transform from single autonomous entities into more open enterprises supported by new Enterprise Resource Planning (ERP) systems. This paper reports on ERP engage-abilities within three different enterprise management patterns based on the theoretical foundations of the "Dynamic Enterprise Reference Grid". An exploratory inductive study in Zoomlion using the narrative research approach has been conducted. Also, this research delivers a conceptual framework to demonstrate the adoption of ERP in the three enterprise management structures and points to a new architectural type (ERPIII) for operating in the virtual enterprise paradigm. © 2010 Springer-Verlag.

The impact of the digital divide on the perceived interest of an e-Marketplace to support healthcare and social care services

In a Europe increasingly aging, it is now recognized the importance and potential of the service industry for ageing well based on information and communication technologies (ICT), as exemplified by the electronic market of social services and health care, the GuiMarket, proposed by the authors. However, this new range of services requires that individuals have advanced digital skills to fully participate in society. Based on the results of a survey made on a sample of 315 individuals, this paper discusses the importance granted GuiMarket and the intended frequency of use, concluding there is a close relationship between ICT access and use that respondents anticipate making of GuiMarket and alike services.

Direct communication versus virtual communication in virtual teams

Several studies suggest that computer-mediated communication can lead to decreases in group effectiveness and reduce satisfaction levels in terms of trust and comfort of its users. Supported by an experiment, where the emotional or affective aspects of communication were tested with the experimentation of two architectures, Direct Communication Architecture (DCA) and the Virtual Communication Architecture (VCA) this paper validates the thesis that, from the users’ perspective, there is no opposition to the acceptance of virtual environments and interfaces for communication, and that these environments are able to cope with the reconfiguration dynamics requirements of virtual teams or client-server relations in a virtual enterprise operation.

A similarity measure for music signals

One of the goals in the field of Music Information Retrieval is to obtain a measure of similarity between two musical recordings. Such a measure is at the core of automatic classification, query, and retrieval systems, which have become a necessity due to the ever increasing availability and size of musical databases. This paper proposes a method for calculating a similarity distance between two music signals. The method extracts a set of features from the audio recordings, models the features, and determines the distance between models. While further work is needed, preliminary results show that the proposed method has the potential to be used as a similarity measure for musical signals.

Paired indices for clustering evaluation correction for agreement by chance

In the present paper we focus on the performance of clustering algorithms using indices of paired agreement to measure the accordance between clusters and an a priori known structure. We specifically propose a method to correct all indices considered for agreement by chance - the adjusted indices are meant to provide a realistic measure of clustering performance. The proposed method enables the correction of virtually any index - overcoming previous limitations known in the literature - and provides very precise results. We use simulated datasets under diverse scenarios and discuss the pertinence of our proposal which is particularly relevant when poorly separated clusters are considered. Finally we compare the performance of EM and KMeans algorithms, within each of the simulated scenarios and generally conclude that EM generally yields best results.

Using data mining for prediction of hospital length of stay: an application of the CRISP-DM Methodology

Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Portuguese hospital and related with inpatient hospitalization. The goal was to predict generic hospital Length Of Stay based on indicators that are commonly available at the hospitalization process (e.g., gender, age, episode type, medical specialty). At the data preparation stage, the data were cleaned and variables were selected and transformed, leading to 14 inputs. Next, at the modeling stage, a regression approach was adopted, where six learning methods were compared: Average Prediction, Multiple Regression, Decision Tree, Artificial Neural Network ensemble, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of determination value (0.81). This model was then opened by using a sensitivity analysis procedure that revealed three influential input attributes: the hospital episode type, the physical service where the patient is hospitalized and the associated medical specialty. Such extracted knowledge confirmed that the obtained predictive model is credible and with potential value for supporting decisions of hospital managers.

Muutos- ja oppimisprosessin johtaminen teollisuusyrityksessä

Kilpailukeinojen muuttuessa teollisuusyritysten muutostarve nopeutuu. Tämä aiheuttaa yritysten henkilökunnalle uusia haasteita ja lisää paineita elinikäiseen oppimiseen. Samalla se aiheuttaa koko yrityksen organisaatiolle yhteisen oppimisen tarpeen eli muuttumisen oppivaksi organisaatioksi. työssä on tutkittu oppivan organisaation käsitettä, valmiuksia muutosjohtamiseen sekä tarvittavaa asennetta muutosten tehokkaaseen läpivientiin. Muutoksen johtamiseen on esitetty muutosmallia, jonka sovellettavuutta on arvioitu case-yrityksen avulla. Muutosasenteen lisäksi on kiinnitetty huomiota mittaamiseen ja muutosten jatkumiseen päättymättöminä prosesseina. Työn tulokseksi saatiin mm. seuraavia toimenpide-ehdotuksia: Koulutusta tulisi lisätä ylimmälle johdole ja mielipidevaikuttajille. Organisaatiota pitäisi muuttaa tiedonkulkua suosivaksi ja saattaa tietojärjestelmät joustaviksi ja muutoksia tukeviksi järjestelmmiksi.

Kokonaistoimittajan operatiivisen toiminnanohjauksen tietojärjestelmät imuohjatun tuotannon verkostossa

Tutkimuksen tavoitteena oli kehittää kansainvälisesti toimivan suuren yrityksen johtaman verkoston kokonaistoimittajatason yritysten käyttöön yksinkertainen viitekehys, jota yritykset voivat käyttää operatiivista toimintaa ohjaavien tietojärjestelmien hallinnassa. Kirjallisuuskatsauksen lisäksi suoritettiin empiiristä tutkimusta tarkastelemalla verkostoyritysten toimintaa operatiivisten toiminnanohjausjärjestelmien kehitysprojektien kannalta. Samalla tarkasteltiin kahden pohjoiskarjalaisen yritysverkoston kokonaistoimittajien nykytilannetta toiminnanohjauksen tietojärjestelmien osalta ja verkostotoiminnan vaikutusta niihin. Tutkimuksessa havaittiin, että kokonaistoimittajien on kasvatettava osaamistaan nykyaikaisten tietojärjestelmien osalta kyetäkseen vastaamaan kansainvälisen päähankkijan asettamiin vaatimuksiin kiristyvässä kilpailutilanteessa. Imuohjatun verkoston toiminnanohjauksen kannalta on ensiarvoisen tärkeää että verkoston toiseksi ylimmällä portaalla toimivien kokonaistoimittajien tietojärjestelmät tukevat moderneja toimintatapoja niin sanomavälityksen kuin tuotannon- ja materiaalin ohjauksen osalta. Tulosten perusteella voidaan todeta, että tyypillisen kokonaistoimittajayrityksen tietämys tietojärjestelmäasioista on varsin matalalla tasolla. Tutkimuksen tuloksena syntyi myös kuusiportainen viitekehys operatiivisen toiminnanohjauksen tietojärjestelmien jatkuvan kehittämisen tueksi.

Estudio de las metodologías de gestión de proyectos para la integración de sistemas de información en entornos fabriles de mediano tamaño

El trabajo ha consistido en una investigación sobre las metodologías de gestión de proyectos de integración de sistemas de información, con el objetivo de sintetizar una metodología específica alineada con el modelo de gestión de proyectos definido en el PMBOK y su aplicación para la definición de un proyecto de integración de sistemas de una fábrica.

On Doing Successful ICT Business with Russian Manufacturing Enterprises

This Master’s thesis addresses different approaches using which a foreign IT company could enter Russian manufacturing industry with its enterprise information systems and IT services. In order to define the most suitable market entry approach, several aspects related to Russian manufacturing enterprises are studied. These aspects include challenges of doing ICT business with the previously mentioned enterprises, their perception of ICT role and their ICT preferences, as well as their buying behavior related to acquisition of information systems (IS). The study results show that there are several challenges that can be faced by a foreign IT vendor when starting conducting ICT business with Russian manufacturing enterprises. The results also show that Russian manufacturing industry is still rather immature in sense of business process automation, and its IT buying behavior is rather specific and complicated. The results suggest that an efficient way to approach these enterprises is through a network of trusted partners that consists of reliable Russian IS integrators and business consultants having established connections to Russian manufacturing companies and possessing the needed competence.

Analysis of companies' software as a service adoption intention factors

The goal of this study is to develop managerial recommendations for international vendors and system integrators, which offer Software as a Service for enterprise information systems on the Russian market. Those recommendations can be used to develop marketing, sales, new product and service level agreement strategies. For those reasons factors affecting SaaS adoption were determined and their influence on intention to adoption was examined.

Multi-agent building control in shared environment

Multi-agent systems have been adopted to build intelligent environment in recent years. It was claimed that energy efficiency and occupants' comfort were the most important factors for evaluating the performance of modem work environment, and multi-agent systems presented a viable solution to handling the complexity of dynamic building environment. While previous research has made significant advance in some aspects, the proposed systems or models were often not applicable in a "shared environment". This paper introduces an ongoing project on multi-agent for building control, which aims to achieve both energy efficiency and occupants' comfort in a shared environment.