A systematic mapping study of web services discovery mechanisms

Context: Web services have been gaining popularity due to the success of service oriented architecture and cloud computing. Web services offer tremendous opportunity for service developers to publish their services and applications over the boundaries of the organization or company. However, to fully exploit these opportunities it is necessary to find efficient discovery mechanism thus, Web services discovering mechanism has attracted a considerable attention in Semantic Web research, however, there have been no literature surveys that systematically map the present research result thus overall impact of these research efforts and level of maturity of their results are still unclear. This thesis aims at providing an overview of the current state of research into Web services discovering mechanism using systematic mapping. The work is based on the papers published 2004 to 2013, and attempts to elaborate various aspects of the analyzed literature including classifying them in terms of the architecture, frameworks and methods used for web services discovery mechanism. Objective: The objective if this work is to summarize the current knowledge that is available as regards to Web service discovery mechanisms as well as to systematically identify and analyze the current published research works in order to identify different approaches presented. Method: A systematic mapping study has been employed to assess the various Web Services discovery approaches presented in the literature. Systematic mapping studies are useful for categorizing and summarizing the level of maturity research area. Results: The result indicates that there are numerous approaches that are consistently being researched and published in this field. In terms of where these researches are published, conferences are major contributing publishing arena as 48% of the selected papers were conference published papers illustrating the level of maturity of the research topic. Additionally selected 52 papers are categorized into two broad segments namely functional and non-functional based approaches taking into consideration architectural aspects and information retrieval approaches, semantic matching, syntactic matching, behavior based matching as well as QOS and other constraints.

Functional, Social and Emotional Values as Determinants of Environmentally Responsible Media Consumption

The primary purpose of this research is to develop an enhanced understanding of how consumption values influence environmentally responsible consumption of print and digital media. Theoretical elaboration considers the associations of functional, social and emotional consumption values, green consumer segmentation and media consumption. Additionally, the purpose is to identify consumer perceptions of print and digital media’s environmental responsibility. Empirical analysis was based on qualitative interviews with a sample of 20 Finnish consumers categorized in two segments: young adults and middle aged consumers. Primary data collection was conducted through individual, semi-structured interviews. To analyze the respondents’ approach on the topic, the interviews disclosed themes of media consumption, perceived environmental friendliness of media, norms of behavior and consumers’ general consumption patterns. The results implicate functional value dominated the consumption decision-making process both in a general level and in media consumption. In addition to functional value, environmental responsibility does provide consumers with both emotional and social values. Analysis on perceived environmental responsibility of media demonstrated consumers generally perceive digital media as an environmentally responsible alternative because it does not create physical paper waste. Nevertheless, the perceptions of environmental responsibility and media consumption patterns lacked a consistent connection. Though, both theory and empirical results indicated an average consumer lacks a comprehensive understanding of digital and print media’s life-cycle and hence their environmental advantages and disadvantages.

The importance of customer's value expectations in customer acquisition

Pro gradu –tutkielman tavoitteena on tutkia asiakasarvoa ja sitä, miten asiakasarvoa voidaan käyttää hyväksi uusasiakashankinnassa. Tällä hetkellä kirjallisuudessa on pinnalla muutos tuotekeskeisyydestä asiakaskeskeiseen näkökulmaan, joka tunnistaa asiakasarvon tärkeyden bisnes suhteissa. Tämä tutkimus osallistuu kyseiseen keskusteluun muodostamalla tavan mitata asiakasarvoa, ja peilaamalla saavutettuja tuloksia uusasiakashankinta prosessiin. Empiirinen tutkimus on toteutettu kahdessa osassa: kvalitatiivisessa sekä kvantitatiivisessa. Ensimmäisessä osassa haastateltiin kahdeksaa potentiaalista asiakasta, minkä jälkeen saadut tulokset vietiin suurempaan skaalaan toteuttamalla kysely suurelle joukolle potentiaalisia asiakkaita. Lopulliset tulokset osoittavat, että asiakasarvon käyttäminen hyväksi uusasiakashankinnassa on erittäin tehokas ja käyttökelpoinen metodi. Asiakasarvoon perustuvat asiakassegmentit mahdollistavat oikeiden arvojen kommunikoinnin oikeille segmenteille. Se antaa yritykselle myös mahdollisuuden valita houkuttelevimmat asiakasryhmät ja vahvistaa asiakaskantaansa.

How to increase brand quality perception with audiovisual content? : Exploring the role of emotions in B2C and B2B contexts

This study discusses how audiovisual content can influence brand quality perceptions. The purpose of this study is to explore how audiovisual content creation can increase brand quality perceptions. This research problem is addressed with three sub questions, which aim at clarifying the role of emotions between content marketing and brand quality perception, explaining how different functions of audiovisual content can increase brand quality perception, and by identifying and comparing the key differences in content creation in business-to-consumer and business-to-businesscontexts. The theoretical background of the study is in brand personality, consumer emotions, consumerbrand relationships, content marketing and B2B branding literature. The empirical research part includes a single-case study. The case company was a Swiss startup that wished to build a highquality brand for both B2C and B2B segments. The empirical data was collected in September 2014. Eight interviews were conducted; seven with target segment representatives and one with an existing customer of the case company. The empirical findings were analyzed with thematic analysis and finally a 5-stage framework was created based on the findings of the research, offering a guideline for high-quality content creation. This study finds that emotions play an important role in brand quality perceptions. Psychological processes, emotion, cognition and conation, influence the engagement process of the target segment which ultimately can lead to activation and electronic word-of-mouth. Brand quality perception is the result of the overall emotion of the brand. The overall emotion derives from brand personality, brand concept, product attributes and utilitarian benefits of the brand. The entertaining and educational functions of the audiovisual content can target and evoke these emotional processes, and result in increased quality perceptions. In the B2B context, emotions are found to play a relatively smaller role in the quality perception processes. However, the significance of emotions cannot be ignored, since they can emphasize the value for the buying organization, and build on the trust and loyalty among the potential customers. The final framework presents five stages of content creation that ultimately improve brand quality perceptions. These stages help marketers to design and implement their content and evoke positive emotions in their target segment as part of a quality-based marketing strategy. Further research is warranted to quantitatively test the generalizability of the framework. Further research is also suggested to make the framework adaptable to different stages of the brand life cycle.

Yritysten sähkön kysyntäjouston tuotteistaminen

Muuttuva sähköntuotantorakenne yhdessä Euroopan yhdentyvien sähkömarkkinoiden kanssa muuttaa energiayhtiöiden toimintaympäristöä tulevaisuudessa. Markkinoilta poistu-va säätökykyinen lauhdevoima ja lisääntyvä säiden mukaan vaihteleva tuuli- ja aurin-koenergia lisäävät säätövoiman tarvetta energiajärjestelmässä. Osa lisääntyvästä säätövoi-man tarpeesta voidaan kattaa kulutuksen kysyntäjoustoa lisäämällä. Tässä työssä tavoitteena on kehittää Savon Voima Oyj:lle kysyntäjoutopalvelu yritysasiak-kaille. Työssä kartoitetaan kysyntäjouston eri markkinapaikkojen mahdollisuuksia kysyntä-jouston toteuttamiselle, sekä käydään läpi niiden asettamia rajoitteita kysyntäjouston to-teuttamisen kannalta. Työn osana kehitettyä kysyntäjouston potentiaalin laskentatyökalua käytetään arvioitaessa valittujen pilottiasiakkaiden potentiaalia Elspot-markkinoille osallistuvan kysyntäjouston osalta. Laskennan tulosten perusteella kysyntäjouston toteuttaminen Elspot-markkinoille on kannattavaa valittujen pilottiasiakkaiden kohdalla. Työssä käydään läpi kysyntäjoustopalvelun prosessia, sen vaiheita sekä huomioon otettavia asioita tarjottaessa kysyntäjoustopalvelua yrityksille. Lopuksi esitetään liiketoimintamalli, jolla palvelua lähdetään yritysasiakkaille tarjoamaan. Liiketoimintamallissa esitetään koh-deryhmät ja markkinat kysyntäjouston toteuttamiselle.

Effects of life cycle profits on the profitability of industrial heavy duty cranes

The goal of the thesis was to investigate how much after-sales profits a crane sale generates over the life cycle of the crane and the effects of these after-sales profits on the overall profitability of the crane. The thesis utilizes theories about life cycle costing from an equipment and service supplier’s point of view. However, instead of costs, the thesis is focused on the life cycle after-sales profits from maintenance services and spare parts provided for the sold crane. The case study approach was chosen and a total of five cranes from three different segments were investigated. An eight-step life cycle profit calculation model was developed in order to analyze the chosen cases’ life cycle profits systematically. The results of the investigation suggest that the life cycle after-sales profits are significant in value. In the case analyses they accounted for between 20% and 44% of the overall life cycle profits of the case cranes. The after-sales profits should be taken into account already in the pricing when offering a crane to a customer.

Gearing Towards Omnichannel Grocery Retail Through Business Model Innovation

Technological innovations and the advent of digitalization have led retail business into one of its biggest transformations of all time. Consumer behaviour has changed rapidly and the customers are ever more powerful, demanding, tech-savvy and moving on various plat-forms. These attributes will continue to drive the development and robustly restructure the architecture of value creation in the retail business. The largest retail category, grocery yet awaits for a real disruption, but the signals for major change are already on the horizon. The first wave of online grocery retail was introduced in the mid 1990’s and it throve until millennium. Many overreactions, heavy investments and the burst IT-bubble almost stag-nated the whole industry for a long period of time. The second wave started with a venge-ance around 2010. Some research was carried out during the first wave from a single-viewpoint of online grocery retail, but without a comprehensive approach to online-offline business model integration. Now the accelerating growth of e-business has initiated an increased interest to examine the transformation from traditional business models towards e-business models and their integration on the companies’ traditional business models. This research strove to examine how can we recognize and analyze how digitalization and online channels are affecting the business models of grocery retail, by using business mod-el canvas as an analysis tool. Furthermore business model innovation and omnichannel retail were presented and suggested as potential solutions for these changes. 21 experts in online grocery industry were being interviewed. The thoughts of the informants were being qualitatively analysed by using an analysis tool called the business model canvas. The aim of this research was to portray a holistic view on the Omnichannel grocery retail business model, and the value chain, in which the case company Arina along with its partners are operating. The key conclusions exhibited that online grocery retail business model is not an alterna-tive model nor a substitute for the traditional grocery retail business model, though all of the business model elements are to some extent affected by it, but rather a complementary business model that should be integrated into the prevailing, conventional grocery retail business model. A set of business model elements, such as value proposition and distribu-tion channels were recognized as the most important ones and sources of innovation within these components were being illustrated. Segments for online grocery retail were empiri-cally established as polarized niche markets in contrast of the segmented mass-market of the conventional grocery retail. Business model innovation was proven to be a considera-ble method and a conceptual framework, by which to come across with new value proposi-tions that create competitive advantage for the company in the contemporary, changing business environment. Arina as a retailer can be considered as a industry model innovator, since it has initiated an entire industry in its market area, where other players have later on embarked on, and in which the contributors of the value chain, such as Posti depend on it to a great extent. Consumer behaviour clearly affects and appears everywhere in the digi-talized grocery trade and it drives customers to multiple platforms where retailers need to be present. Omnichannel retail business model was suggested to be the solution, in which the new technologies are being utilized, contemporary consumer behaviour is embedded in decision-making and all of the segments and their value propositions are being served seamlessly across the channels.

Asiakasarvopohjaisten palveluiden kehittäminen kiinteistöpalvelualan yrityksessä

Tämän työn tavoitteena oli tutkia asiakasarvopohjaisten palveluiden kehittämistä ja luoda kiinteistöpalvelualan yritykselle kehitysprosessimalli, jonka avulla yritys voisi optimoida toimintojaan tulevaisuudessa. Tutkimuksen päätavoitteina oli tutkia asiakasarvoa kiinteistöpalveluissa, kartoittaa potentiaalisten uusien asiakkaiden palveluiden nykytila ja toiveet sekä tarkastella kohdeyrityksen palveluiden kehitysprosessia. Työn teoreettisessa osiossa tarkasteltiin palveluliiketoimintaa yleisellä tasolla, yrityksen palveluprosessin kehittämistä, asiakasarvon muodostumista sekä SERVQUAL- ja QFD-työkalujen avulla palvelun laatua ja asiakastarpeita. Työn teoriaosuuden kautta saatiin myös selville, että asiakasarvon hallinta on palveluiden kehitysprosessin ydin. Tutkimuksen empiirinen aineisto kerättiin syvähaastatteluiden avulla avainasiakkailta eri asiakassegmentteihin liittyen. Haastattelujen analysoinnissa hyödynnettiin laadullista sisällönanalyysiä. Työn tuloksissa määriteltiin asiakasarvo ja tärkeimmät asiakastarpeet kiinteistöpalveluissa, kartoitettiin asiakkaiden odotusten ja nykytilan väliset kuilut sekä luotiin yritykselle palveluiden kehitysprosessimalli, jota yritys voi toiminnoissaan tapauskohtaisesti hyödyntää tulevaisuudessa.

Visual Customer Segmentation and Data Exploration with the Self-Organizing Map

Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.

The Competitive Analysis of Selected Biorefineries in Finland

Biorefineries is a perspective field of study that covers many opportunities of a successful business unit with respect to sustainability. The thesis focuses on the following key objective: identification of a competitive biorefineries production process in small and medium segments of the chemical and forest industries in Finland. The scope of the research relates to the selected biorefineries operations in Finland and the use of hemicellulose, as a raw material. The identification of the types of biorefineries and the important technical and process characteristics opens the advantage in the company’s competitive analysis. The study concentrates on the practical approach to the scientific methods of the market and companies research with the help of Quality Function Deployment and House of Quality tool. The thesis’s findings provide mindset version of the expert’s House of Quality application, identification of crucial biorefineries technical and design characteristics’ correlation and their effect on the competitive behavior of a company. The theoretical background helps to build the picture of the problematic issues within the field and provides scientific possible solutions. The analysis of the biorefineries’ market and companies operations bring the practical-oriented aptitude of the research. The results of the research can be used for the following investigations in a field and may be applied as a company’s management analytic and strategic application.

Industry specific lifecycle services for process critical motors

This Master’s Thesis examines industrial service business and studies how Global Technical Support Center Finland, part of ABB Oy, can develop its lifecycle services based on availability related customer needs. Focus is in three most business critical industry segments OGP (Oil, Gas and Petrochemical), Power and Metals. The research was conducted as a qualitative case study, including literature review and empirical part. The literature review explores industrial service business, product lifecycle services and related customer needs, product effectiveness and maintenance. This study contains also characteristics of constructive research. Primary material was gathered through internal and external interviews. Both theme and semi-structured interviews were performed. This research has shown that customers have different needs depending of the industry segment where they operate. Most remarkable differences are related to maintenance schedules. The main outcomes of the study are the industry specific lifecycle service models that combine company recommendations with customer specific needs. Other development needs were related to proactivity, condition based monitoring, information sharing and lifecycle estimations.

Consumer Behavior in Mortgage Market: Evidence from Russia

The purpose of this master thesis is to identify behavioral patterns of potential borrower in mortgage market in crisis conditions and to link mortgage products available on Russian market with potential borrowers segments in dependence of detected patterns. Empirical results achieved through 172 answers of potential borrowers allowed to classify them in four groups in dependence of respondent perceptions about mortgage and future. On the basis of literature review and currently state of Russian mortgage market particular mortgage products were suggested to each of four clusters of potential borrowers. Then, recommendations for Russian banks how to apply received results were developed. Current master thesis has strong both academic and managerial contributions. It it adds significant value to existing consumer behavior studies; and provides practical recommendations for Russian banks how to understand mortgage borrower behavior in order to increase trust to mortgage among population.