Vertaileva mainonta liiketapalautakunnan lausuntokäytännössä

Tutkielman tavoitteena oli selvittää millä kriteereillä vertaileva mainonta on sallittua ja milloin kiellettyä. Vertailevaa mainontaa käsitellään Keskuskauppakamarin liiketapalautakunnan antamien lausuntojen perusteella. Liiketapalautakunta antaa lausuntoja onko tietty markkinoinnissa suoritettu tai suunniteltu toimenpide hyvän liiketavan vastainen tai muutoin sopimatonta menettelyä elinkeinotoiminnassa. Tutkielma on laadittu olemassa olevaa tietoa keräämällä ja soveltamalla. Pääasiallisena lähteenä on käytetty liiketapalautakunnan lausuntoja. Niiden lisäksi on käytetty Kuluttaja-asiamiehen kannanottoja ja Markkinatuomioistuimen päätöksiä sekä aiheeseen liittyvää kirjallisuutta. Tärkeimpänä kriteerinä vertailevan mainonnan hyväksyttävyydelle voidaan pitää totuudenmukaisuutta. Vertaileva mainonta on sallittua kunhan vertailu suoritetaan totuudenmukaisesti. Jokaisen tapauksen yhteydessä on otettava kokonaisuus huomioon ja sallittavuus ratkaistaan tapauskohtaisesti. Vaikutusta hyväksyttävyyteen on mm. mainonnan kohderyhmällä. On huomioitava, että hyvän liiketavan käsite muuttuu ajan myötä. Tämän vuoksi aina ei voida nojautua vanhoihin päätöksiin.

A practice perspective on organizational implementation of information technology

Implementering av ett informationssystem ur en organisatorisk synvinkel initieras av en idé om ett system och avslutas då användningen av det inte längre kräver en medveten ansträngning. Ifall tolkningen av implementering är denna, är det fråga om en långsam och komplicerad process, som berör organisationens alla parter. Ny informationsteknologi anses påverka flertalet arbetsprocesser och organiseringen av det dagliga arbetet. Möjligheterna att ta i bruk systemet och utnyttja det är många. I avhandlingen undersöks implementering av ett system för att administrera hemvårdsbesök där hemvårdare använde handdatorer för att registrera information om besökens längd och innehåll. I avhandlingen observeras vilka förändringar som sker i arbetets praxis p.g.a. det nya systemet och hur dessa förändringar påverkar vårdarbetet. Forskningen inleds med att strukturera teorier om arbetspraxis för kommande analys. Arbetspraxis är inarbetade och rutinmässiga arbetssätt i arbetets sociomateriella omgivning. Arbetspraxis i avhandlingen innebär hemvårdarens praxis och upplevd erfarenhet, där verksamheten informeras av gemensamma arbetssätt, projekt, identiteter och intressen. Organisationens auktoritet kommer även fram i den förverkligade arbetspraxisen. Forskningen genomfördes som en etnografisk longitudinell studie under åren 2001-2004. I studien observerades hur nyttjandet av handdatorerna framskred ur ett organisatoriskt perspektiv. Hemvårdares arbete och verksamhet (arbetspraxis) observerades både under vårdsbesök och under pauser. Därtill intervjuades hemvårdarna för att erhålla en bättre förståelse för de rationaliteter som styr arbetet och hur systemet togs i bruk. Dokument relaterade till projektet att införa ett nytt system och administrativa dokument har utnyttjats som källmaterial. Analysen av källmaterialet styrdes av det teoretiska tillvägagångssättet att undersöka arbetspraxis. Problem som identifierades i samband med införandet av systemet och de förändringar som det medförde analyserades i detalj. Parallellt analyserades organisatorisk makt, kontroll och arbetsidentitet. Undersökningen beskriver hur det nya systemet gradvis anpassades till hemvården efter ett initialt motstånd. Under själva implementering av systemet ifrågasattes tidigare arbetspraxis och inställningen till den eftersom arbetspraxisens materiella omgivning förändrades. Det teoretiska tillvägagångssättet i att undersöka arbetspraxis framhäver vårdarens agerande i förändringsprocessen. Resultatet av forskningen visar vikten av realistiska målsättningar, givande av gruppstöd med återkoppling samt förmåga att anpassa sig till det oväntade vid införande av informationssystem.

MASTER DATA MANAGEMENT MATURITY AND TECHNOLOGY ASSESSMENT - From theory to practice, case Ineo Oy

After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, the data in enterprise systems is scattered and inconsistent. Global organizations face the challenge of addressing local uses of shared business entities, such as customer and material, and at the same time have a consistent, unique, and consolidate view of financial indicators. In addition, current enterprise systems do not accommodate the pace of organizational changes and immense efforts are required to maintain data. When it comes to systems integration, ERPs are considered “closed” and expensive. Data structures are complex and the “out-of-the-box” integration options offered are not based on industry standards. Therefore expensive and time-consuming projects are undertaken in order to have required data flowing according to business processes needs. Master Data Management (MDM) emerges as one discipline focused on ensuring long-term data consistency. Presented as a technology-enabled business discipline, it emphasizes business process and governance to model and maintain the data related to key business entities. There are immense technical and organizational challenges to accomplish the “single version of the truth” MDM mantra. Adding one central repository of master data might prove unfeasible in a few scenarios, thus an incremental approach is recommended, starting from areas most critically affected by data issues. This research aims at understanding the current literature on MDM and contrasting it with views from professionals. The data collected from interviews revealed details on the complexities of data structures and data management practices in global organizations, reinforcing the call for more in-depth research on organizational aspects of MDM. The most difficult piece of master data to manage is the “local” part, the attributes related to the sourcing and storing of materials in one particular warehouse in The Netherlands or a complex set of pricing rules for a subsidiary of a customer in Brazil. From a practical perspective, this research evaluates one MDM solution under development at a Finnish IT solution-provider. By means of applying an existing assessment method, the research attempts at providing the company with one possible tool to evaluate its product from a vendor-agnostics perspective.

Detection of Pathologic Changes Following Traumatic Brain Injury Using Magnetic Resonance Imaging

Background: Approximately two percent of Finns have sequels after traumatic brain injury (TBI), and many TBI patients are young or middle-aged. The high rate of unemployment after TBI has major economic consequences for society, and traumatic brain injury often has remarkable personal consequences, as well. Structural imaging is often needed to support the clinical TBI diagnosis. Accurate early diagnosis is essential for successful rehabilition and, thus, may also influence the patient’s outcome. Traumatic axonal injury and cortical contusions constitute the majority of traumatic brain lesions. Several studies have shown magnetic resonance imaging (MRI) to be superior to computed tomography (CT) in the detection of these lesions. However, traumatic brain injury often leads to persistent symptoms even in cases with few or no findings in conventional MRI. Aims and methods: The aim of this prospective study was to clarify the role of conventional MRI in the imaging of traumatic brain injury, and to investigate how to improve the radiologic diagnostics of TBI by using more modern diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) techniques. We estimated, in a longitudinal study, the visibility of the contusions and other intraparenchymal lesions in conventional MRI at one week and one year after TBI. We used DWI-based measurements to look for changes in the diffusivity of the normal-appearing brain in a case-control study. DTI-based tractography was used in a case-control study to evaluate changes in the volume, diffusivity, and anisotropy of the long association tracts in symptomatic TBI patients with no visible signs of intracranial or intraparenchymal abnormalities on routine MRI. We further studied the reproducibility of different tools to identify and measure white-matter tracts by using a DTI sequence suitable for clinical protocols. Results: Both the number and extent of visible traumatic lesions on conventional MRI diminished significantly with time. Slightly increased diffusion in the normal-appearing brain was a common finding at one week after TBI, but it was not significantly associated with the injury severity. Fractional anisotropy values, that represent the integrity of the white-matter tracts, were significantly diminished in several tracts in TBI patients compared to the control subjects. Compared to the cross-sectional ROI method, the tract-based analyses had better reproducibility to identify and measure white-matter tracts of interest by means of DTI tractography. Conclusions: As conventional MRI is still applied in clinical practice, it should be carried out soon after the injury, at least in symptomatic patients with negative CT scan. DWI-related brain diffusivity measurements may be used to improve the documenting of TBI. DTI tractography can be used to improve radiologic diagnostics in a symptomatic TBI sub-population with no findings on conventional MRI. Reproducibility of different tools to quantify fibre tracts vary considerably, which should be taken into consideration in the clinical DTI applications.

Modelling of changes in electricity end-use and their impacts on electricity distribution

The electricity distribution sector will face significant changes in the future. Increasing reliability demands will call for major network investments. At the same time, electricity end-use is undergoing profound changes. The changes include future energy technologies and other advances in the field. New technologies such as microgeneration and electric vehicles will have different kinds of impacts on electricity distribution network loads. In addition, smart metering provides more accurate electricity consumption data and opportunities to develop sophisticated load modelling and forecasting approaches. Thus, there are both demands and opportunities to develop a new type of long-term forecasting methodology for electricity distribution. The work concentrates on the technical and economic perspectives of electricity distribution. The doctoral dissertation proposes a methodology to forecast electricity consumption in the distribution networks. The forecasting process consists of a spatial analysis, clustering, end-use modelling, scenarios and simulation methods, and the load forecasts are based on the application of automatic meter reading (AMR) data. The developed long-term forecasting process produces power-based load forecasts. By applying these results, it is possible to forecast the impacts of changes on electrical energy in the network, and further, on the distribution system operator’s revenue. These results are applicable to distribution network and business planning. This doctoral dissertation includes a case study, which tests the forecasting process in practice. For the case study, the most prominent future energy technologies are chosen, and their impacts on the electrical energy and power on the network are analysed. The most relevant topics related to changes in the operating environment, namely energy efficiency, microgeneration, electric vehicles, energy storages and demand response, are discussed in more detail. The study shows that changes in electricity end-use may have radical impacts both on electrical energy and power in the distribution networks and on the distribution revenue. These changes will probably pose challenges for distribution system operators. The study suggests solutions for the distribution system operators on how they can prepare for the changing conditions. It is concluded that a new type of load forecasting methodology is needed, because the previous methods are no longer able to produce adequate forecasts.

Examining human-centered design practice in the mobile apps era

Human-Centered Design (HCD) is a well-recognized approach to the design of interactive computing systems that supports everyday and professional lives of people. To that end, the HCD approach put central emphasis on the explicit understanding of users and context of use by involving users throughout the entire design and development process. With mobile computing, the diversity of users as well as the variety in the spatial, temporal, and social settings of the context of use has notably expanded, which affect the effort of interaction designers to understand users and context of use. The emergence of the mobile apps era in 2008 as a result of structural changes in the mobile industry and the profound enhanced capabilities of mobile devices, further intensify the embeddedness of technology in the daily life of people and the challenges that interaction designers face to cost-efficiently understand users and context of use. Supporting interaction designers in this challenge requires understanding of their existing practice, rationality, and work environment. The main objective of this dissertation is to contribute to interaction design theories by generating understanding on the HCD practice of mobile systems in the mobile apps era, as well as to explain the rationality of interaction designers in attending to users and context of use. To achieve that, a literature study is carried out, followed by a mixed-methods research that combines multiple qualitative interview studies and a quantitative questionnaire study. The dissertation contributes new insights regarding the evolving HCD practice at an important time of transition from stationary computing to mobile computing. Firstly, a gap is identified between interaction design as practiced in research and in the industry regarding the involvement of users in context; whereas the utilization of field evaluations, i.e. in real-life environments, has become more common in academic projects, interaction designers in the industry still rely, by large, on lab evaluations. Secondly, the findings indicate on new aspects that can explain this gap and the rationality of interaction designers in the industry in attending to users and context; essentially, the professional-client relationship was found to inhibit the involvement of users, while the mental distance between practitioners and users as well as the perceived innovativeness of the designed system are suggested in explaining the inclination to study users in situ. Thirdly, the research contributes the first explanatory model on the relation between the organizational context and HCD; essentially, innovation-focused organizational strategies greatly affect the cost-effective usage of data on users and context of use. Last, the findings suggest a change in the nature of HCD in the mobile apps era, at least with universal consumer systems; evidently, the central attention on the explicit understanding of users and context of use shifts from an early requirements phase and continual activities during design and development to follow-up activities. That is, the main effort to understand users is by collecting data on their actual usage of the system, either before or after the system is deployed. The findings inform both researchers and practitioners in interaction design. In particular, the dissertation suggest on action research as a useful approach to support interaction designers and further inform theories on interaction design. With regard to the interaction design practice, the dissertation highlights strategies that encourage a more cost-effective user- and context-informed interaction design process. With the continual embeddedness of computing into people’s life, e.g. with wearable devices and connected car systems, the dissertation provides a timely and valuable view on the evolving humancentered design.