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Kirjallisuusarvostelu

An interaction framework for deploying the knowledge of diasporas: Using Finland as an example

This study discusses the importance of diasporas’ knowledge with regard to the national competitive advantage of Finland. The purpose of this study is to suggest an interaction framework, which illustrates how diasporas can benefit the host country via intentional knowledge spillovers, with two sub-objectives: to seek which features are crucial for productive interaction between a host government and diasporas, and to scrutinize the modes of interaction currently effective in Finland. The theoretical background of the study consists of literature relating to the concepts of diaspora and knowledge. The empirical research conducted for this study is based on expert interviews. The interview data was collected between September and November 2013. Eight interviews were made; five with representatives of expert organizations, and three with immigrants. Thematic analysis was used to categorize and interpret the interview data. In addition, thematic networks were built to act as a basis of analysis. This study finds that knowledge, especially new combinations of knowledge, is a significant input in innovation. Innovation is found to be the basis of national competitive advantage. Thus the means through which knowledge is transferred are of key importance. Diasporas are found a good source of new knowledge, and thus may aid the innovative process. Host country stance and policy are found to have a major impact on the ability of the host country to benefit from diasporas’ knowledge. As a host country, this study finds Finland to have a very fragmented strategy field and a prejudiced attitude, which currently make it difficult to utilize the potential of diasporas. The interaction framework based on these findings suggests ways in which Finland can improve its national competitive advantage through acquiring the innovative potential of diasporas. Strategy revision and increased promotion are discussed as means towards improved interaction. In addition, the importance of learning is emphasized. The findings of this study enhance understanding of the relationship between the concepts of diaspora and knowledge. In addition, this study ties the relationship to economic benefit. Future research is, however, necessary in order to fully understand the meaning of the relationship, as well as to increase understanding of the generalizability of the interaction framework.

Initialism as a mechanism of weed interference: can a crop plant be blinded?

Initialism is a new word proposed to indicate the "shade-avoidance syndrome". Plants detect the presence of neighbor plants very early in the growing season through changes in light quality. They modify the allocation of photosynthesis products privileging shoot growth over the roots. One of the hypotheses of the authors is that, when weed management is timely scheduled, a "blind" crop could be more productive because it would avoid an imbalance on the shoot:root ratio (S:R). Two strategies were developed to test this hypothesis: a) to use the classical Yoda's Law to screen several crops for insensitivity to S:R imbalance; b) to evaluate several growth regulators to control the plant responses to crowding. Experimental results confirm that both strategies can yield insensitive plants. The possibilities of the use of this knowledge are discussed.

Population density and weed infestation in organic no-tillage corn cropping system under different soil covers

Currently, one of the biggest challenges faced by organic no-tillage farming is weed control. Thus, the use of cropping practices that help in the control of weeds is extremely important. The objective of this study was to evaluate population density and level of weed infestation in an organic no-tillage corn cropping system under different soil covers. The experiment was conducted in a randomized block design with six repetitions and five treatments, consisting of three soil covers in an organic no-tillage system, and an organic and a conventional system, both without soil cover. The treatments with soil cover used a grass species represented by the black oat, a leguminous species represented by the white lupine, and intercropping between both species. Corn was sown with spacing of 1.0 m between rows and 0.20 m between plants, using the commercial hybrid AG 1051. Infestation in corn was evaluated at stages V5 and V10, and weed density was evaluated at stage V5. The use of black oat straw alone or intercropped with white lupine, in the organic no-tillage corn cropping system, reduced the percentage of weed infestation and absolute weed density. Management-intensive systems and systems without soil cover showed higher relative densities for species Oxalis spp., Galinsoga quadriradiata and Stachys arvensis. The species Cyperus rotundus showed the highest relative density on organic no-tillage corn cropping systems. Black oat straw in the organic no-tillage cropping system limited the productive potential of corn.

Application of Sulfentrazone in Stages of Germination of IAC 90 Cassava Cuttings in Clay Soils and Sandy

Weeds interfere dramatically in the productive potential of cassava; however, information regarding herbicides that are selective to crops is still scarce. Thus, the aim in this study was to assess the initial growth of IAC 90 cassava plants after the application of sulfentrazone at different stages of germination of cassava in clayey and sandy soils. Three experiments were simultaneously deployed: the first experiment consisted in the application of sulfentrazone in the non-germinated stage of cassava cuttings; the second one in the stage of germinated cassavas cuttings (0.9 cm shoots); and the third one in applications in the stage of cassava cuttings with buds emerging (6.5 cm shoots and emerging from the soil). For each experiment the experimental design in randomized blocks was used in the 2 x 5 factorial arrangement with four replications. The factors were composed of two soils (sandy and clayey) and five doses of sulfentrazone (0, 250, 500, 750 and 1,000 g ha-1). It was found that depending on the herbicide dose, development stage of the buds of cassava cuttings and the type of soil, damage can occur in the initial development of the IAC 90 cassava plants. The greatest potential of sulfentrazone selectivity has occurred in applications in the non-germinated cassava cuttings stage and in doses lower than 500 g ha-1 in the clayey soil.

SULFENTRAZONE SELECTIVITY AND EFFICIENCY IN CASSAVA CROPS IN SANDY AND CLAYEY SOILS

ABSTRACT Weeds have the potential to dramatically interfere in cassava cultivation, reducing its productive potential; however, there are few studies on the selective herbicides in this crop. Therefore, the objective was to evaluate in this work the selectivity and efficiency of sulfentrazone in cassava crops grown in sandy and clayey soils. Two experiments were carried out: The first one was carried out in sandy soil conditions in the conventional system; and the second one was carried out in clayey soil conditions in the no-tillage system. The experimental design was a randomized block with four replications. The treatments consisted in doses of 250, 500, 750 and 1,000 g ha-1 of sulfentrazone, and weeded and non-weeded controls. Sulfentrazone application in cassava crops has linearly reduced the production of roots in a proportion of 0.0153 and 0.0107 t ha-1 at each increment in grams of the active ingredient, respectively. It was concluded that sulfentrazone was not selective for cassava crops grown both in sandy and in clayey soil; however, it was highly effective in weed control in both soils.

Factors Affecting Customer Profitability: a Bibliometric Study

The first objective of the thesis is to find out which factors impact on customer profitability has been studied in scientific articles. The second objective is to find out the main authors and publishers from the subject area. Expectations were to find factors from marketing and management accounting literature, but this study did not succeed to gather management accounting perspective on the subject area. This study used bibliometric methods. The data for this study was collected manually from Scopus and Web of Science databases. Search words resulted 770 articles and from those 82 were included to further analyze. Descriptive analysis, citation analysis and content analysis were made. Bibexcel and Pajek software were used in this study. Publication activity was concentrated on years 2004-2013. The most productive author around the subject area is Kumar Vipin from Georgia State University (USA). A multiple customer profitability factors were identified. A lot of research was made for example about satisfaction, relationship duration, loyalty, marketing actions and customer equity drivers. The research is concentrated on service sector. The results are suggesting that there are research gaps in business-to-business and manufacturing sector.

Metsäenergian käytön kasvun liiketoimintamahdollisuudet Kaakkois-Suomessa

Kaakkois-Suomessa (Kymenlaakson ja Etelä-Karjalan maakunnat) metsäenergian käytön kasvaessa on tullut tarve tarkastella käytön kasvua eri käyttäjien näkökulmasta sekä arvioida kasvaneen käytön luomia liiketoimintamahdollisuuksia alueen toimijoille. Tutkimuksen tavoitteena on selvittää metsäenergian nykyinen käyttö ja käytön kasvumahdollisuudet alueella. Metsäenergian käytön kasvumahdollisuuksia voidaan arvioida nykyisen energian tuotantorakenteen sekä energian tarpeen perusteella. Näiden tietojen pohjalta voidaan arvioida metsäenergian riittävyyttä, käytön laajentamista ja laajentamisen yhteydessä syntyviä liiketoimintamahdollisuuksia alueen metsäenergian hankinnassa mukana oleville toimijoille ja energian tuotannon pk-yrittäjille (mm. energiayrittäjät ja -osuuskunnat). Hankkeen toteutuksen yhteydessä valmistellaan laajempaa hankekokonaisuutta uusiutuvien paikallisten energiamahdollisuuksien hyödyntämiseksi ja liiketoiminnan kehittämiseksi alueella. Tutkimusten tavoitteena on luoda hyvinvointia ja liiketoimintamahdollisuuksia alueelle. Etelä-Karjalan ja Kymenlaakson maakuntien osalta tutkimus sisälsi seuraavat osatehtävät: metsäenergian nykyisen käytön selvittäminen käyttökohteittain ja polttoainelajeittain (hakkuutähteet, kannot, pienpuu), metsäenergian potentiaalisten käyttökohteiden selvittäminen, metsäenergian kuntakohtaisen saatavuuden selvittäminen polttoainelajeittain, metsäenergian käytön suhde saatavuuteen, metsäenergian ympärille liittyvien liiketoimintamahdollisuuksien tunnistaminen ja kartoittaminen sekä tulosten raportointi. Tutkimuksen tuloksina saatiin Etelä-Karjalan ja Kymenlaakson maakuntien kuntakohtaiset taseet metsäenergian kysynnän ja tarjonnan määristä sekä alaan liittyvistä työllisyys- ja liiketoimintamahdollisuuksista. Tutkimuksen toteutuksessa on tehty tiiviisti yhteistyötä Kaakkois-Suomen metsäkeskuksen kanssa. Tutkimuksen seurantaryhmänä toimi Kaakkois-Suomen metsäenergianeuvottelukunta. Tutkimuksessa on luotu toimintamalli alueellisen ja paikallisen metsäenergian käytön ja saatavuuden tarkastelua varten. Toimintamallilla voidaan esittää paikalliset mahdollisuudet metsäenergian hyödyntämiseksi ja liiketoimintamahdollisuuksien arvioimiseksi.

Strategisen suorituskykymittariston implementoinnin haasteet – tapaustutkimus

Tutkimuksen aiheena on strateginen suorituskykymittaristo ja sen implementointi. Muuttuva liiketoimintaympäristö on tuonut mukanaan sen, että yritysten tulee jatkuvasti päivittää toimintastrategiaansa sekä niihin liittyviä suorituskykymittareita. Strategiset suorituskykymittaristot ovat johdon työväline konkretisoida organisaation toiminnan tavoitteet ja menestystekijät alaspäin erilaisiksi mittareiksi. Tutkimuksen tavoitteena on tunnistaa haasteita, joita suorituskykymittariston käyttöönottoon liittyy ja keinoja, joilla näihin voidaan varautua. Tutkielma on laadullinen tutkimus, jossa tehtiin yrityshaastatteluja. Tutkimuksessa muodostettiin olemassa olevia teorioita mukaillen vaihemalli siitä, mitä osa-alueita strategisen suorituskykymittariston implementointiprojektiin liittyy. Tätä mallia käytettiin pohjana työn empiirisessä analyysissä. Empiirisessä analyysissä käyttöönoton onnistumisen edellytyksiksi havaittiin johdon aktiivinen rooli sekä riittävän viestinnän toteutus. Lisäksi onnistumiseen vaikuttavina tekijöinä korostuivat niin projektinhallinnalliset asiat, esimerkiksi aktiivinen projektipäällikkö, projektin organisointi ja toimintasuunnitelma jatkolle, kuin niiden henkilöiden rooli, jotka projektissa ovat mukana. Tutkimuksen lopputulokset myötäilevät aiempia tutkimuksia siinä, että viestinnällä ja kommunikaatiolla on hyvin merkittävä rooli mittariston käyttöönoton onnistumisessa.

Dialysis, time and death: comparisons of two consecutive decades among patients treated at the same Brazilian dialysis center

The survival of hemodialysis patients is likely to be influenced not only by well-known risk factors like age and comorbidity, but also by changes in dialysis technology and practices accumulated along time. We compared the survival curves, dialysis routines and some risk factors of two groups of patients admitted to a Brazilian maintenance hemodialysis program during two consecutive decades: March 1977 to December 1986 (group 1, N = 162) and January 1987 to June 1997 (group 2, N = 237). The median treatment time was 22 months (range 1-198). Survival curves were constructed using the Kaplan-Meier method and compared using the log-rank method. The Cox proportional hazard regression model was used to investigate the more important variables associated with outcome. The most important changes in dialysis routine and in patient care during the total period of observation were the progressive increase in the dose of dialysis delivered, the prohibition of potassium-free dialysate, the use of bicarbonate as a buffer and the upgrading of the dialysis equipment. There were no significant differences between the survival curves of the two groups. Survival rates at 1, 5 and 10 years were 84, 53 and 29%, respectively, for group 1 and 77, 42 and 21% for group 2. Patients in group 1 were younger (45.5 ± 15.2 vs 55.2 ± 15.9 years, P<0.001) and had a lower prevalence of diabetes (11.1 vs 27.4%, P<0.001) and of cardiovascular disease (9.3 vs 20.7%, P<0.001). According to the Cox multivariate model, only age (hazard ratio (HR) 1.04, confidence interval (CI) 1.03-1.05, P<0.001) and diabetes (HR 2.55, CI 1.82-3.58, P<0.001) were independent predictors of mortality for the whole group. Patients of group 2 had a lower prevalence of sudden death (19.1 vs 9.7%, P<0.001). After adjusting for age, diabetes and other mortality risk factors, the risk of death was 17% lower in group 2, although this difference was not statistically significant. We conclude that the negative effects of advanced age and of higher frequency of comorbidity on the survival of group 2 patients were probably offset by improvements in patient care and in the quality and dose of dialysis delivered, so that the survival curves did not undergo significant changes along time.

Collagen arrangement in hepatic granuloma in mice infected with Schistosoma mansoni: dependence on fiber radiation centers

The collagen structure of isolated and in situ liver granuloma from Swiss Webster mice infected with Schistosoma mansoni was sequentially and three-dimensionally analyzed during different times of infection (early acute, acute, transitional acute-chronic, and chronic phases) by laser scanning confocal microscopy and electron scanning variable vacuum microscopy. The initial granuloma structure is characterized by vascular collagen residues and by anchorage points (or fiber radiation centers), from where collagenous fibers are angularly shed and self-assembled. During the exudative-productive stage, the self-assembly of these fibers minimizes energy and mass through continuous tension and focal compression. The curvature or angles between collagen fibers probably depends on the fibroblastic or myofibroblastic organization of stress fibers. Gradually, the loose unstable lattice of the exudative-productive stage transforms into a highly packed and stable architecture as a result of progressive compactness. The three-dimensional architecture of granulomas provides increased tissue integrity, efficient distribution of soluble compounds and a haptotactic background to the cells.

Thermal reactions of the major hydrocarbon components of biomass gasification gas

Gasification of biomass is an efficient method process to produce liquid fuels, heat and electricity. It is interesting especially for the Nordic countries, where raw material for the processes is readily available. The thermal reactions of light hydrocarbons are a major challenge for industrial applications. At elevated temperatures, light hydrocarbons react spontaneously to form higher molecular weight compounds. In this thesis, this phenomenon was studied by literature survey, experimental work and modeling effort. The literature survey revealed that the change in tar composition is likely caused by the kinetic entropy. The role of the surface material is deemed to be an important factor in the reactivity of the system. The experimental results were in accordance with previous publications on the subject. The novelty of the experimental work lies in the used time interval for measurements combined with an industrially relevant temperature interval. The aspects which are covered in the modeling include screening of possible numerical approaches, testing of optimization methods and kinetic modelling. No significant numerical issues were observed, so the used calculation routines are adequate for the task. Evolutionary algorithms gave a better performance combined with better fit than the conventional iterative methods such as Simplex and Levenberg-Marquardt methods. Three models were fitted on experimental data. The LLNL model was used as a reference model to which two other models were compared. A compact model which included all the observed species was developed. The parameter estimation performed on that model gave slightly impaired fit to experimental data than LLNL model, but the difference was barely significant. The third tested model concentrated on the decomposition of hydrocarbons and included a theoretical description of the formation of carbon layer on the reactor walls. The fit to experimental data was extremely good. Based on the simulation results and literature findings, it is likely that the surface coverage of carbonaceous deposits is a major factor in thermal reactions.

Pursuit of change versus organizational inertia: a study on strategic renewal in the Finnish broadcasting company

This doctoral dissertation explores the intra-organizational dynamics of a strategic renewal process. The main research question is how the pursuit of change and organizational inertia co-exist, intertwine, and collide in organizational cognition and capabilities during the strategic renewal. It is a comprehensive study on how organizational capabilities, organizational cognition, and structure enhance and inhibit change. Theoretically, the study is positioned in the modern tradition of strategy research, using the dynamic capability view and the organizational and managerial cognition research tradition as the main theoretical frames. Empirically, the study is a longitudinal case study of the Finnish Broadcasting Company (Yle), following the organizational changes during the years of 2011-1014. The analysis is based on both quantitative and qualitative data, which was collected during the research process using surveys, interviews, and archives. The main theoretical contribution is the application of the two theoretical approaches in one study. Empirically, the study contributes to operationalization of the concepts related to the dynamic capability view and organizational cognition, in a media context that is going through drastic changes due to digitalization. Furthermore, the case of a public broadcasting company extends the application of the theoretical concepts to the context of public management. The results suggest that renewal is a complex process, in which an organization’s perceptions intertwine with the strategic actions and decision-making. The change evolves pathdependently: the past experiences, routines, and organizational structures tend to dictate the future visions, desires, and actions. The study also reveals how the public nature of an organization adds to the tensions between change and organizational inertia, and hampers the decision-making. The doctoral dissertation consists of six research papers, each of which explores the phenomenon under study from a different perspective.

Microencapsulation and tissue engineering as an alternative treatment of diabetes

In the 70's, pancreatic islet transplantation arose as an attractive alternative to restore normoglycemia; however, the scarcity of donors and difficulties with allotransplants, even under immunosuppressive treatment, greatly hampered the use of this alternative. Several materials and devices have been developed to circumvent the problem of islet rejection by the recipient, but, so far, none has proved to be totally effective. A major barrier to transpose is the highly organized islet architecture and its physical and chemical setting in the pancreatic parenchyma. In order to tackle this problem, we assembled a multidisciplinary team that has been working towards setting up the Human Pancreatic Islets Unit at the Chemistry Institute of the University of São Paulo, to collect and process pancreas from human donors, upon consent, in order to produce purified, viable and functional islets to be used in transplants. Collaboration with the private enterprise has allowed access to the latest developed biomaterials for islet encapsulation and immunoisolation. Reasoning that the natural islet microenvironment should be mimicked for optimum viability and function, we set out to isolate extracellular matrix components from human pancreas, not only for analytical purposes, but also to be used as supplementary components of encapsulating materials. A protocol was designed to routinely culture different pancreatic tissues (islets, parenchyma and ducts) in the presence of several pancreatic extracellular matrix components and peptide growth factors to enrich the beta cell population in vitro before transplantation into patients. In addition to representing a therapeutic promise, this initiative is an example of productive partnership between the medical and scientific sectors of the university and private enterprises.

Spatial modeling techniques for mapping and characterization of acid sulfate soils

Acid sulfate (a.s.) soils constitute a major environmental issue. Severe ecological damage results from the considerable amounts of acidity and metals leached by these soils in the recipient watercourses. As even small hot spots may affect large areas of coastal waters, mapping represents a fundamental step in the management and mitigation of a.s. soil environmental risks (i.e. to target strategic areas). Traditional mapping in the field is time-consuming and therefore expensive. Additional more cost-effective techniques have, thus, to be developed in order to narrow down and define in detail the areas of interest. The primary aim of this thesis was to assess different spatial modeling techniques for a.s. soil mapping, and the characterization of soil properties relevant for a.s. soil environmental risk management, using all available data: soil and water samples, as well as datalayers (e.g. geological and geophysical). Different spatial modeling techniques were applied at catchment or regional scale. Two artificial neural networks were assessed on the Sirppujoki River catchment (c. 440 km2) located in southwestern Finland, while fuzzy logic was assessed on several areas along the Finnish coast. Quaternary geology, aerogeophysics and slope data (derived from a digital elevation model) were utilized as evidential datalayers. The methods also required the use of point datasets (i.e. soil profiles corresponding to known a.s. or non-a.s. soil occurrences) for training and/or validation within the modeling processes. Applying these methods, various maps were generated: probability maps for a.s. soil occurrence, as well as predictive maps for different soil properties (sulfur content, organic matter content and critical sulfide depth). The two assessed artificial neural networks (ANNs) demonstrated good classification abilities for a.s. soil probability mapping at catchment scale. Slightly better results were achieved using a Radial Basis Function (RBF) -based ANN than a Radial Basis Functional Link Net (RBFLN) method, narrowing down more accurately the most probable areas for a.s. soil occurrence and defining more properly the least probable areas. The RBF-based ANN also demonstrated promising results for the characterization of different soil properties in the most probable a.s. soil areas at catchment scale. Since a.s. soil areas constitute highly productive lands for agricultural purpose, the combination of a probability map with more specific soil property predictive maps offers a valuable toolset to more precisely target strategic areas for subsequent environmental risk management. Notably, the use of laser scanning (i.e. Light Detection And Ranging, LiDAR) data enabled a more precise definition of a.s. soil probability areas, as well as the soil property modeling classes for sulfur content and the critical sulfide depth. Given suitable training/validation points, ANNs can be trained to yield a more precise modeling of the occurrence of a.s. soils and their properties. By contrast, fuzzy logic represents a simple, fast and objective alternative to carry out preliminary surveys, at catchment or regional scale, in areas offering a limited amount of data. This method enables delimiting and prioritizing the most probable areas for a.s soil occurrence, which can be particularly useful in the field. Being easily transferable from area to area, fuzzy logic modeling can be carried out at regional scale. Mapping at this scale would be extremely time-consuming through manual assessment. The use of spatial modeling techniques enables the creation of valid and comparable maps, which represents an important development within the a.s. soil mapping process. The a.s. soil mapping was also assessed using water chemistry data for 24 different catchments along the Finnish coast (in all, covering c. 21,300 km2) which were mapped with different methods (i.e. conventional mapping, fuzzy logic and an artificial neural network). Two a.s. soil related indicators measured in the river water (sulfate content and sulfate/chloride ratio) were compared to the extent of the most probable areas for a.s. soils in the surveyed catchments. High sulfate contents and sulfate/chloride ratios measured in most of the rivers demonstrated the presence of a.s. soils in the corresponding catchments. The calculated extent of the most probable a.s. soil areas is supported by independent data on water chemistry, suggesting that the a.s. soil probability maps created with different methods are reliable and comparable.