Mapping the Value Network Potential in Cross-sector Collaboration: Case welfare Services for Elderly in Finland

Value network has been studied greatly in the academic research, but a tool for value network mapping is missing. The objective of this study was to design a tool (process) for value network mapping in cross-sector collaboration. Furthermore, the study addressed a future perspective of collaboration, aiming to map the value network potential. During the study was investigated and pondered how to get the full potential of collaboration, by creating new value in collaboration process. These actions are parts of mapping process proposed in the study. The implementation and testing of the mapping process were realized through a case study of cross-sector collaboration in welfare services for elderly in the Eastern Finland. Key representatives in elderly care from public, private and third sectors were interviewed and a workshop with experts from every sector was also conducted in this regard. The value network mapping process designed in this study consists of specific steps that help managers and experts to understand how to get a complex value network map and how to enhance it. Furthermore, it make easier the understanding of how new value can be created in collaboration process. The map can be used in order to motivate participants to be engaged with responsibility in collaboration and to be fully committed in their interactions. It can be also used as a motivator tool for those organizations that intend to engage in collaboration process. Additionally, value network map is a starting point in many value network analyses. Furthermore, the enhanced value network map can be used as a performance measurement tool in cross-sector collaboration.

Enseigner l'interculturel dans le supérieur: quels discours et approches d'un concept ambigu à l'heure de l'internationalisation? Le cas de la Finlande

L‘interculturel est un concept souvent partagé mais rarement défini dans la recherche alors que ses compréhensions, interprétations et applications sont variées, ce qui mène à des malentendus et des positionnements épistémologiques et méthodologiques ambigus. En parallèle, de nombreuses critiques et propositions de réorientations de la notion voient le jour. Nous entendons faire le point sur la notion et son intégration potentielle dans l‘enseignement de la communication interculturelle (ECI). Notre étude se base sur l‘analyse de six groupes focalisés d‘enseignants (-chercheurs) impliqués dans l‘enseignement de l‘interculturel du niveau supérieur en Finlande, pays du nord de l‘Europe. Nous avons recours aux paradigmes postmodernes et aux sciences du langage (analyse du discours inspirée d‘auteurs français, et plus particulièrement de l‘école française de la deuxième génération (les théories de l‘énonciation (Kerbrat-Orecchioni, 2002 ; Marnette, 2005) et une approche du dialogisme inspirée par Bakhtine (1977))). Ces méthodes permettent de mettre en avant la complexité identitaire en posant l‘hétérogénéité du discours comme principe, c‘est-à-dire qu‘elles considèrent que tout discours inclut la « voix » de l‘autre. Repérer la présence de ces voix dans les discours des enseignants/chercheurs nous a permis de démontrer comment celles-ci participaient à la construction de leur identité pendant l‘interaction. Nous avons pu observer comment les relations entre ces interactions verbales donnaient lieu à des instabilités (contradictions, omissions), dont l‘étude nous a aidée à déduire leur(s) façon(s) de concevoir l‘interculturel. Les discours analysés révèlent a) que la définition de l‘interculturel est partagée sans être perçue de la même manière et b) que les différentes représentations du concept peuvent varier dans le discours d‘un même enseignant, mettant en évidences des contradictions qui posent problème s‘il s‘agit de communiquer un savoir-être aux apprenants. Nous nous sommes efforcée de trouver la place d‘un interculturel renouvelé parmi ces discours et de dissocier l‘image de l‘éducation interculturelle qui est promue en Finlande de ce qui est proposé en réalité : les changements actuels semblent avoir un minimum d‘impact sur la façon dont les enseignants traitent l‘interculturel. Nous nous demandons alors comment l‘Etat finlandais peut promouvoir un enseignement interculturel cohérent sans proposer aux enseignants/chercheurs une formation qui leur permettrait de reconnaitre les diverses diversités impliquées par l‘interculturel. Mots clés : Communication interculturelle, diversité, culture, enseignement supérieur finlandais.

University Image vs. University Identity: Congruence between Expectations and Experience

The aim of this thesis was to examine congruencies between university identity and university images of prospective and current students. Therefore, factors essentially influencing on expected and experienced university images were identified. Providing an understanding on the differences in the formation of both concepts allowed the analysis of potential incongruities between a university’s identity and the perceptions its students hold. The study was conducted in July and August 2013 at Lappeenranta University of Technology by means of a web-based research survey. The sample consisted of 160 international Master’s degree students who were admitted in 2011, 2012 and 2013. Descriptive and multivariate statistical analysis methods were used to process the data. The results of the study indicated statistically significant incongruities between the case university’s identity and its students’ images. Further, the expected and experienced university images showed incongruities to each other. Deviations were additionally detected to be dependent on the students’ home regions. All in all, there is potential for an improvement of the students’ experiences resulting from a low perception of the student’s preparation for future job life.

Brand Identity and Image in B2B Factory Automation Context

The goal of this thesis is to study how a solution-oriented business-to-business company can utilize its brand as a strategic asset by using the concepts of brand identity and brand image. The study analyses the intended brand message (identity) contrasting it with the customer perceptions (image) to reveal points of parity and congruence. The study uses a case company as an example and discusses the benefits of brand management as well. Internally, brands can be studied by performing a set of interviews amongst top and middle management. The interviews need to consider the various elements of branding from associations to differentiation and value creation. Customers’ perceptions can be reliably studied via online survey designed to compare the intended brand message with customers’ experiences. From the perspective of industrial management the incentive for brand development lies in both monetary and managerial benefits. In literature the four essential benefits of B2B branding are risk dilution, efficiency of communications, strategic direction and price premiums. As a result, suggestive models for brand identity and image were devised and compared. The Case Company perceives itself as a technically oriented open-integrator, with a strong focus on reliability and customer service. Customers agree with the picture in general, but there are some points of parity as well: they are quite satisfied with the company and perceive it as reliable and providing the promised value. The problematic areas revolve around customer interaction and maintaining the leadership position. The results confirm previous findings in B2B branding theory, where the reliability and credibility of the supplier are in major role. The results also suggest a holistic, corporate approach on branding.

Leveraging National Federated Identity Services

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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.

Balancing the quotation process by LEAN methods

This thesis studies the possibility to use lean tools and methods in a quotation process which is carried out in an office environment. The aim of the study was to find out and test the relevant lean tools and methods which can help to balance and standardize the quotation process, and reduce the variance in quotation lead times and in quality. Seminal works, researches and guide books related to the topic were used as the basis for the theory development. Based on the literature review and the case company’s own lean experience, the applicable lean tools and methods were selected to be tested by a sales support team. Leveling production, by product categorization and value stream mapping, was a key method to be used to balance the quotation process. 5S method was started concurrently for standardizing the work. Results of the testing period showed that lean tools and methods are applicable in office process and selected tools and methods helped to balance and standardize the quotation process. Case company’s sales support team decided to implement new lean based quotation process model.

A systematic mapping study on open data

This thesis presented the overview of Open Data research area, quantity of evidence and establishes the research evidence based on the Systematic Mapping Study (SMS). There are 621 such publications were identified published between years 2005 and 2014, but only 243 were selected in the review process. This thesis highlights the implications of Open Data principals’ proliferation in the emerging era of the accessibility, reusability and sustainability of data transparency. The findings of mapping study are described in quantitative and qualitative measurement based on the organization affiliation, countries, year of publications, research method, star rating and units of analysis identified. Furthermore, units of analysis were categorized by development lifecycle, linked open data, type of data, technical platforms, organizations, ontology and semantic, adoption and awareness, intermediaries, security and privacy and supply of data which are important component to provide a quality open data applications and services. The results of the mapping study help the organizations (such as academia, government and industries), re-searchers and software developers to understand the existing trend of open data, latest research development and the demand of future research. In addition, the proposed conceptual framework of Open Data research can be adopted and expanded to strengthen and improved current open data applications.

Perceptions of green branding and identity building amongst small Finnish textile producers

The textile industry is one of the most polluting industries in the world. The amount of air and water pollution it causes puts a burden on the environment. There are companies who have taken the environmental and social aspects into account in the their production and chosen to operate in a green manner. This thesis studies how the phenomenon of green branding is seen from the perspectives of small Finnish textile companies. The theory used in this thesis has to do with green branding and identity building. The theory is used to analyze the results of the empirical findings. The main research question that the thesis aims to answer is how green branding is perceived within the Finnish textile industry. In order to answer the main research question, empirical data was collected from five relevant companies within the Finnish textile industry. The companies interviewed for the study were WST, Saana ja Olli, RCM, R-collection and Tiensivu. The study was conducted as a multiple case based study where multiple experts from green companies were interviewed. The experts were all owners or employees of companies that have a so-called green brand identity. The data was collected through semi-structured interviews, where the relevant experts from each company were interviewed either by themselves, in pairs or in groups. The data that was collected for this study was primary data, and the results of the study are mainly based on the experiences and opinions of the experts interviewed. The data collected does not cover the entire green textile industry within Finland, but study does however give a fairly comprehensive view of the phenomenon, as the textile industry in Finland is quite concise. The general findings of the study show that all experts from the companies interviewed agreed that a green brand identity does benefit their company in one way or the other. The findings also show contradictions with the older theory (eg. Charter et al. 1999, Pickett et al. 1995), and perhaps give a more modern view of the thoughts within the industry.