Applying collective intelligence to idea evaluation at the front end of innovation

The study focuses on the front end of innovation process. Due to changes in innovation policies and paradigms customers, users and shopfloor employees are becoming increasingly important sources of knowledge. New methods are needed for processing information and ideas coming from multiple sources more effectively. The aim of this study is to develop an idea evaluation tool suitable for the front end of innovation process and capable of utilizing collective intelligence. The study is carried out as a case study research using constructive research approach. The chosen approach suits well for the purposes of the study. The constructive approach focuses on designing new constructs and testing them in real life applications. In this study a tool for evaluating ideas emerging from the course of everyday work is developed and tested in a case organization. Development of the tool is based on current scientific literature on knowledge creation, innovation management and collective intelligence and it is tested in LUT Lahti School of Innovation. Results are encouraging. The idea evaluation tool manages to improve performance at the front end of innovation process and it is accepted in use in the case organization. This study provides insights on what kind of a tool is required for facilitating collective intelligence at the front end of innovation process.

Ambient intelligence application based on environmental measurements performed with an assistant mobile robot

This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile.

Problematic Internet use in British adolescents: An exploration of the addictive symptomatology

Research into online addictions has increased substantially over the last decade, particularly amongst youth. This study adapted the Problematic Internet Entertainment Use Scale for Adolescents [PIEUSA] for use with a British population. The adapted scale was used to (i) validate the instrument for English-speaking adolescent samples, (ii) estimate the prevalence of adolescent online problem users and describe their profile, and (iii) assess the accuracy of the scale"s classification of symptomatology. A survey was administered to 1097 adolescents aged between 11 and 18 years. The results indicated that (i) reliability of the adapted scale was excellent; factor validity showed unidimensionality, and construct validity was adequate. The findings also indicated that (ii) prevalence of online problem users was 5.2% and that they were more likely to younger males that engaged in online gaming for more than two hours most days. The majority of online problem users displayed negative addictive symptoms, especially"loss of control" and"conflict". The adapted scale showed (iii) very good sensitivity, specificity, and classification accuracy, and was able to clearly differentiate between problem and non-problem users. The results suggest certain differences between adolescent and adult online problem users based in the predominance of slightly different psychological components.

Prevalence of Problematic Mobile Phone Use in British Adolescents

The problematic use of mobile phones among adolescents has not been widely studied. There are very few instruments for assessing potential technological addiction to mobile phones, or for categorizing different types of users or uses. The most widely used scale is the Mobile Phone Problem Use Scale (MPPUS), which is used to study adult populations, and has been applied in various forms in international contexts. The aims of this study were to adapt the Spanish version of this scale (MPPUSA) to British adolescents, and then to estimate the prevalence of possible problematic users. A questionnaire was administered to a sample of 1,529 secondary school pupils aged between 11 and 18 years, with 1,026 completed questionnaires being collected. The analysis showed that the factor and construct validity and reliability were comparable to those obtained in previous studies. The prevalence of problematic users among the students was 10%, and the typical problematic user tended to be an adolescent between 11 and 14 years old, studying in a public school, who considered themselves to be an expert user of this technology, who made extensive use of his/her mobile phone, and who attributed the same problem of use among their peers. These users presented notable scores in all the symptoms covered by the scale used to assess problematic use. In conclusion, the adaptation of the MPPUSA as a screening scale for British adolescents presents good sensitivity and specificity for detecting the main addictive symptoms proposed in this validated version.

Optimizing of intelligence level in welding

The productivity, quality and cost efficiency of welding work are critical for metal industry today. Welding processes must get more effective and this can be done by mechanization and automation. Those systems are always expensive and they have to pay the investment back. In this case it is really important to optimize the needed intelligence and this way needed automation level, so that a company will get the best profit. This intelligence and automation level was earlier classified in several different ways which are not useful for optimizing the process of automation or mechanization of welding. In this study the intelligence of a welding system is defined in a new way to enable the welding system to produce a weld good enough. In this study a new way is developed to classify and select the internal intelligence level of a welding system needed to produce the weld efficiently. This classification contains the possible need of human work and its effect to the weld and its quality but does not exclude any different welding processes or methods. In this study a totally new way is developed to calculate the best optimization for the needed intelligence level in welding. The target of this optimization is the best possible productivity and quality and still an economically optimized solution for several different cases. This new optimizing method is based on grounds of product type, economical productivity, the batch size of products, quality and criteria of usage. Intelligence classification and optimization were never earlier made by grounds of a made product. Now it is possible to find the best type of welding system needed to welddifferent types of products. This calculation process is a universal way for optimizing needed automation or mechanization level when improving productivity of welding. This study helps the industry to improve productivity, quality and cost efficiency of welding workshops.

Business intelligence –järjestelmä integraation tukena kansainvälisessä yrityksessä

Business intelligencellä tarkoitetaan liiketoimintatiedon hallintaan liittyviä prosesseja ja tekniikoita. Se pitää sisällään tiedon keräämiseen, tallentamiseen, analysointiin ja jakamiseen käytettyt tuotteet, tekniikat ja prosessit, joiden tavoitteena on auttaa yrityksen työntekijöitä liiketoimintaan liittyvässä päätöksenteossa. Tutkimuksen tavoitteena on tutkia uuden yritysryhmän laajuisen BI-tietojärjestelmän suunnitteluun ja käyttöönotoon liittyviä seikkoja ja luoda valmiudet BI-tietojärjestelmän kehitys- ja käyttöönottoprojektin kohdeyrityksessä, jonka toimiala on kansainvälinen terveydenhoitoalan tukkuliiketoiminta. Uuden BI-järjestelmän halutaan tukeva yritysryhmän yritysten välistä integraatiota ja tehostavan tiedonhakuun ja analysointiin liittyviä prosesseja. Tutkimus toteutettiin konstruktiivisena tutkimuksena, joka kattaa kohdeyrityksen IT-arkkitehtuurin, tietosisällön, prosessit ja organisaation raportoinnin kannalta. Lisäksi työssä suoritettiin ohjelmistovertailu kahden markkinoilla toimivan merkittävän ohjelmistotalon BI-tuotteiden välillä. Työssä havaittiin, että BI-projekti on laaja-alainen ja suuri hanke, joka ulottuu läpi koko organisaation. BI-ohjelmiston tehokas hyödyntäminen asettaa vaatimuksia erityisesti taustajärjestelmien tiedon huolelliseen mallintamiseen liittyen. Työssä saatiin pilotoinnin kautta käytännön kokemuksia uudesta järjestelmästä ja sen tarjoamista mahdollisuuksista kohdeyrityksessä.

An Overview Of British Automotive Industry: Implications From History and Recommendations for Future

This thesis is a literary research, which aims to uncover reasons for the downfall of automotive industry in the United Kingdom in the late 20th century. First, there is a short review on the history of the industry in the UK and then there are more present cases presented in the form of BMW-Rover and Tata-Jaguar Land Rover. Finally, the thesis suggests some ideas to which the UK should work towards in order to ensure future competitiveness. The automotive industry in the United Kingdom is one of the oldest in the world, but as the end of last millennium was approaching it was not doing too well. Industry that was still flourishing in the mid-century was soon heading down river and by the end of the century all large English car manufacturers had either closed down or were forced under foreign ownership. The thesis suggests possible targets for future prospects from the literary review and from the conclusions made. These are to ensure the continuity of the industry and the competitiveness on an international level. The suggestions are for long term and are mainly focused around research and development of renewable energy forms.

The analysis and mitigation of risks in FMCG supply chain: the case of British American Tobacco Eastern Europe

This work investigates the Bullwhip Effect, which is one of the most important phenomena in contemporary supply chain management. The author uses most recent theoretical apparatus to analyze operational activities of a leading FMCG company British American Tobacco Eastern Europe. This paper investigates and describes the process in BAT supply chain management and considers the impact of the Bullwhip Effect together with the potential risks threatening company's operations. Emergence of the Bullwhip Effect leads to supply chain inefficiency. This paper contains methodological supply chain risk mitigation recommendations, description of a real case study and an analytical study of internal and external supply chain processes

Strike hard, strike sure - Operation Musketeer : British military planning during the Suez Crisis, 1956

Operation Musketeer, a combined joint Anglo-French operation aimed at regaining control of the Suez Canal in 1956, has received much attention from scholars. The most common approach to the crisis has been to examine the political dimension. The political events that led Prime Minister Anthony Eden’s cabinet to decide to use military force against the wishes of their superior American ally and in the face of American economic pressure and a Soviet threat to attack Paris and London with rockets have been analysed thoroughly. This is particularly the case because the ceasefire and eventual withdrawal were an indisputable defeat of British policy in the Middle East. The military operation not only ruined Prime Minister Eden’s career, but it also diminished the prestige of Britain. It was the beginning of the end, some claim. The British Empire would never be the same. As the consequences of using force are generally considered more important than the military operations themselves, very little attention has been paid to the military planning of Operation Musketeer. The difference between the number of publications on Operation Corporate of the Falklands War and Operation Musketeer is striking. Not only has there been little previous research on the military aspects of Musketeer, the conclusions drawn in the existing works have not reached a consensus. Some historians, such as Correlli Barnett, compare Musketeer to the utter failures of the Tudor landings and Gallipoli. Among significant politicians, Winston Churchill, who had retired from the prime ministership only a year before the Suez Crisis, described the operation as “the most ill-conceived and ill-executed imaginable”. Colin McInnes, a well-known author on British defence policy, represents the middle view when he describes the execution as “far from failure”. Finally, some, like Julian Thompson, the Commander of 3 Commando Brigade during the Falklands War, rate the military action itself as being successful. The interpretation of how successful the handling of the Suez Crisis was from the military point of view depends very much on the approach taken and the areas emphasised in the subject. Frequently, military operations are analysed in isolation from other events. The action of a country’s armed forces is separated from the wider context and evaluated without a solid point of comparison. Political consequences are often used as validated criteria, and complicated factors contributing to military performance are ignored. The lack of comprehensive research on the military action has left room for an analysis concentrating on the military side of the crisis.

Business Intelligence -ohjelmistot päätöksenteon tukena

Työn tavoitteena on tutkia Business Intelligence -ohjelmistojen käyttöä päätöksenteon tukena. Lisäksi tutkitaan näiden ohjelmistojen merkitystä yrityksille. Työssä tarkastellaan myös mahdollisia tulevaisuuden näkymiä. Työ on kirjallisuustyö, joka pohjautuu lähdeaineistoon. Työn tuloksena on huomattu, kuinka tärkeitä Business Intelligence -ohjelmistot ovat yritysten päätöksenteossa. Suuren tietomäärän vuoksi on tärkeää, että yrityksellä on työkalu, jonka avulla kaikki merkityksellinen tieto saadaan välitettyä päätöksentekijöille. Business Intelligence -ohjelmistot tuottavat monenlaisia analyyseja, joiden avulla voidaan tehdä onnistuneita päätöksiä. Mitä tarkempia analyyseja tehdään, sitä enemmän voidaan myös saavuttaa kilpailuetua. Business Intelligence -ohjelmistojen avulla yrityksillä on mahdollisuus saavuttaa monia erilaisia hyötyjä. Hyötyjen mittaaminen on kuitenkin haastavaa, koska osa hyödyistä on aineettomia. Hyötyjen ja liikearvon mittaamiseen on kehitetty mittareita, joiden avulla on tarkoitus pystyä perustelemaan Business Intelligence -ohjelmistoihin investointia. Tulevaisuudessa Business Intelligence -ohjelmistojen merkitys yrityksille kasvaa. Yritysten muuttuvia tarpeita varten kehitetään uudenlaisia Business Intelligence -sovelluksia. Teknologia ja ohjelmistojen innovatiivinen käyttö muokkaavat BI-ohjelmistoja tehokkaammiksi. Jatkuva uusien sovellusten kehittäminen luo myös haasteita ennen niiden laajempaa käyttöönottoa.

Derby Day race card for british charities i Finland

14 x 21 cm

”Tuntuu, et nää on vielä niin lapsen kengissä tämmöset HR:n luvut…”: Työhyvinvoinnin panostusten ja kustannusten Business Intelligence

Työhyvinvointi saa suomalaisessa työelämässä paljon huomiota juuri tällä hetkellä ja se on tunnis-tettu yrityksen kannalta hyödylliseksi alueeksi, johon kannattaa panostaa. Matalat työhyvinvointiin liittyvät kustannukset, organisaation parempi kilpailukyky ja maine sekä korkea henkilöstön tuotta-vuus ovat esimerkkejä työhyvinvoinnin kautta saavutettavista hyödyistä. Yritys voi parantaa hen-kilöstön työhyvinvointia panostamalla siihen ja tämän pitäisi näkyä suoraan myös työhyvinvointiin liittyvissä tunnusluvuissa, kuten sairauspoissaolo-, työkyvyttömyyseläke- ja vaihtuvuuskustannuk-sissa. Yritykset voivat hyödyntää työhyvinvoinnin panostusten ja kustannusten tunnuslukuja, jos niitä hallitaan onnistuneesti. Tällöin pitää tietää, mistä kustannukset koostuvat ja ymmärtää, millä pa-nostuksilla niihin voidaan vaikuttaa. Business Intelligence on termi, jolla tarkoitetaan kaikkea sel-laista organisaation tiedon hallintaa, jota tarvitaan liiketoiminnan johtamisessa. Sen tavoitteena on tukea organisaatiossa tapahtuvaa päätöksentekoa. Business Intelligence voidaan kuvata prosessina, jossa organisaatio kerää, yhdistelee ja analysoi tietoa eri tietolähteistä. Analysoinnin jälkeen yrityk-sellä on käytössään uutta tietämystä, jota voidaan hyödyntää päätöksenteossa. Toimivien Business Intelligence ratkaisujen ansiosta yrityksen päätöksenteon varmuus ja vaikuttavuus kasvaa. Tämän tutkimuksen tarkoituksena on selvittää, millainen on tehokas työhyvinvoinnin panostusten ja kustannusten hallintaan liittyvä Business Intelligence prosessi. Tehokas prosessi auttaa paranta-maan työhyvinvointiin tehtävien panostusten oikeellisuutta ja nostaa organisaation ymmärrystä omasta toiminnastaan. Tutkimusongelmaan on haettu vastauksia laadullisten tutkimusmenetelmien avulla haastattelemalla työhyvinvoinnin panostusten ja kustannusten tunnuslukuja seuraavia yrityk-siä. Tutkimuksen tulokset on analysoitu käyttämällä hyväksi kirjallisuuteen perustuvaa teema-ana-lyysia, jossa työhyvinvointiin ja Business Intelligenceen liittyvää teoriaa verrataan haastatteluista saatuihin vastauksiin. Tutkimuksen johtopäätöksenä tehokas työhyvinvoinnin panostusten ja kustannusten Business Intelligence prosessi voidaan kuvata perinteisten BI:n tasojen kautta. Työhyvinvoinnin panostusten ja kustannusten tunnuslukujen kerääminen onnistuu eri osapuolten välisen yhteistyön avulla. Tun-nusluvuista voi luoda merkityksellistä tietämystä, kun niistä saa tarkkaa tietoa ja niiden rinnalle tuodaan laadullista aineistoa työntekijöiden kokemuksista. Prosessia tukee se, jos teknologian kautta päätöksentekijä pystyy hankkimaan tarvittavat tiedot itse. Tulevaisuudessa olisi tärkeää, että saa-daan enemmän tietoa eri toimenpiteiden vaikuttavuudesta tunnuslukuihin, jotta päätöksiä voidaan tehdä luotettavamman tietämyksen varassa.