e-Business and collaboration: A case study of pulp supply chain

This thesis studies how the case company could digitalize its supply chain and what kind of advantages this would create in the light of supply chain efficiency. The case company manufactures several pulp products that are used for paper, fabrics and packaging products by customers worldwide. The paper and pulp industry has been paying more and more attention to increasing supply chain efficiency with new operating and service models made possible by today’s information technology. The main focus of this study is on the supply chain between the case company and its key customers and the goal is to find ways to make the operations between them as efficient as possible. The study relays heavily on collaboration techniques and digitalization technologies. In addition to a theoretical framework, the study includes several empirical studies that offer real-life examples of how these theories and technologies are applied in operating environments similar to the case company. A plan with strategic and operational levels is created according to the findings of the previous sections to support the case company’s future operations. The plan is based on an RFID-supported collaboration model that aims to advance information sharing between the supply chain partners. The time for an RFID-investment is sought to be very optimal and the benefits of such system to be noteworthy, but challenging to measure in monetary terms.

Designing sustainable industrial ecosystems : the case of a biogas-for-traffic solution

This thesis focuses on the development of sustainable industrial architectures for bioenergy based on the metaphors of industrial symbiosis and industrial ecosystems, which imply exchange of material and energy side-flows of various industries in order to improve sustainability of those industries on a system level. The studies on industrial symbiosis have been criticised for staying at the level of incremental changes by striving for cycling waste and by-flows of the industries ‘as is’ and leaving the underlying industry structures intact. Moreover, there has been articulated the need for interdisciplinary research on industrial ecosystems as well as the need to extend the management and business perspectives on industrial ecology. This thesis addresses this call by applying a business ecosystem and business model perspective on industrial symbiosis in order to produce knowledge on how industrial ecosystems can be developed that are sustainable environmentally and economically. A case of biogas business is explored and described in four research papers and an extended summary that form this thesis. Since the aim of the research was to produce a normative model for developing sustainable industrial ecosystems, the methodology applied in this research can be characterised as constructive and collaborative. A constructive research mode was required in order to expand the historical knowledge on industrial symbiosis development and business ecosystem development into the knowledge of what should be done, which is crucial for sustainability and the social change it requires. A collaborative research mode was employed through participating in a series of projects devoted to the development of a biogas-for-traffic industrial ecosystem. The results of the study showed that the development of material flow interconnections within industrial symbiosis is inseparable from larger business ecosystem restructuring. This included a shift in the logic of the biogas and traffic fuel industry and a subsequent development of a business ecosystem that would entail the principles of industrial symbiosis and localised energy production and consumption. Since a company perspective has been taken in this thesis, the role of an ecosystem integrator appeared as a crucial means to achieve the required industry restructuring. This, in turn, required the development of a modular and boundary-spanning business model that had a strong focus on establishing collaboration among ecosystem stakeholders and development of multiple local industrial ecosystems as part of business growth. As a result, the designed business model of the ecosystem integrator acquired the necessary flexibility in order to adjust to local conditions, which is crucial for establishing industrial symbiosis. This thesis presents a normative model for the development of a business model required for creating sustainable industrial ecosystems, which contributes to approaches at the policy-makers’ level, proposed earlier. Therefore, this study addresses the call for more research on the business level of industrial ecosystem formation and the implications for the business models of the involved actors. Moreover, the thesis increases the understanding of system innovation and innovation in business ecosystems by explicating how business model innovation can be the trigger for achieving more sustainable industry structures, such as those relying on industrial symbiosis.

Value of Information Logistics Integration in Digital Business Ecosystem

Digital business ecosystems (DBE) are becoming an increasingly popular concept for modelling and building distributed systems in heterogeneous, decentralized and open environments. Information- and communication technology (ICT) enabled business solutions have created an opportunity for automated business relations and transactions. The deployment of ICT in business-to-business (B2B) integration seeks to improve competitiveness by establishing real-time information and offering better information visibility to business ecosystem actors. The products, components and raw material flows in supply chains are traditionally studied in logistics research. In this study, we expand the research to cover the processes parallel to the service and information flows as information logistics integration. In this thesis, we show how better integration and automation of information flows enhance the speed of processes and, thus, provide cost savings and other benefits for organizations. Investments in DBE are intended to add value through business automation and are key decisions in building up information logistics integration. Business solutions that build on automation are important sources of value in networks that promote and support business relations and transactions. Value is created through improved productivity and effectiveness when new, more efficient collaboration methods are discovered and integrated into DBE. Organizations, business networks and collaborations, even with competitors, form DBE in which information logistics integration has a significant role as a value driver. However, traditional economic and computing theories do not focus on digital business ecosystems as a separate form of organization, and they do not provide conceptual frameworks that can be used to explore digital business ecosystems as value drivers—combined internal management and external coordination mechanisms for information logistics integration are not the current practice of a company’s strategic process. In this thesis, we have developed and tested a framework to explore the digital business ecosystems developed and a coordination model for digital business ecosystem integration; moreover, we have analysed the value of information logistics integration. The research is based on a case study and on mixed methods, in which we use the Delphi method and Internetbased tools for idea generation and development. We conducted many interviews with key experts, which we recoded, transcribed and coded to find success factors. Qualitative analyses were based on a Monte Carlo simulation, which sought cost savings, and Real Option Valuation, which sought an optimal investment program for the ecosystem level. This study provides valuable knowledge regarding information logistics integration by utilizing a suitable business process information model for collaboration. An information model is based on the business process scenarios and on detailed transactions for the mapping and automation of product, service and information flows. The research results illustrate the current cap of understanding information logistics integration in a digital business ecosystem. Based on success factors, we were able to illustrate how specific coordination mechanisms related to network management and orchestration could be designed. We also pointed out the potential of information logistics integration in value creation. With the help of global standardization experts, we utilized the design of the core information model for B2B integration. We built this quantitative analysis by using the Monte Carlo-based simulation model and the Real Option Value model. This research covers relevant new research disciplines, such as information logistics integration and digital business ecosystems, in which the current literature needs to be improved. This research was executed by high-level experts and managers responsible for global business network B2B integration. However, the research was dominated by one industry domain, and therefore a more comprehensive exploration should be undertaken to cover a larger population of business sectors. Based on this research, the new quantitative survey could provide new possibilities to examine information logistics integration in digital business ecosystems. The value activities indicate that further studies should continue, especially with regard to the collaboration issues on integration, focusing on a user-centric approach. We should better understand how real-time information supports customer value creation by imbedding the information into the lifetime value of products and services. The aim of this research was to build competitive advantage through B2B integration to support a real-time economy. For practitioners, this research created several tools and concepts to improve value activities, information logistics integration design and management and orchestration models. Based on the results, the companies were able to better understand the formulation of the digital business ecosystem and the importance of joint efforts in collaboration. However, the challenge of incorporating this new knowledge into strategic processes in a multi-stakeholder environment remains. This challenge has been noted, and new projects have been established in pursuit of a real-time economy.

Value creation in project business relationships: Supplier and customer's perspectives

The purpose of this study is to analyze supplier’s value creation ability in project business in order to enhance customer’s business. In addition, the aim is to identify the role of business relationships in value creation and analyze the applicability of key account management in project business. The study considers value from the customer’s point of view. The concepts of value and value creation are widely discussed in marketing literature. Theory emphasizes the importance of value creation and business relationships in business markets. The empirical part of the study is conducted as a case study research. The empirical evidence is collected by interviewing one supplier organization and their three customer organizations. These companies operate in Finnish and global industrial markets. Data is collected through semi-structured interviews and analyzed by using qualitative content analysis. The study identifies several customer value drivers influencing on the value creation, which can be divided into product, service and relationship elements. One of the recognized value drivers is customer-supplier relationship. The findings show that a closer relationship enhances value creation possibilities and the key account management program allows effective managing of business relationships. As managerial implications, suppliers should seek to create continuous and conversational relationships with the key account customers.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Electronic Business Model for International Software Market

Tämän diplomityön tavoitteena on muodostaa sähköinen liiketoimintamalli kansainvälisen ohjelmistoyrityksen tarpeisiin. Ohjelmiston uusi ominaisuus antaa kolmansille osapuolille mahdollisuuden määritellä itse rakennusmallintamisessa tarvittavia komponentteja, mikä luo mahdollisuuden uuteen liiketoimintaan. Liiketoimintamallien teoria ja asiantuntijoiden haastattelut tulevat osoittamaan, että paras ratkaisu tässä tapauksessa on portaali, joka rakentuu komponenttimarkkinoista, e-kaupasta ja virtuaaliyhteisöstä. Komponenttimarkkinat on jaettu vapaaseen vaihdantaan ja sertifioitujen kehittäjien kaupankäyntiin. Tämä tarjoaa mahdollisuuksia kehittäjille valita sitoutuneisuutensa taso, samoin kuin motivoi heitä osallistumaan. E-kauppa on suunniteltu sovelluksille ja monimutkaisemmille komponenteille. Virtuaaliyhteisön kautta käyttäjät voivat keskustella mielipiteistään ja saada tukea ohjelmiston käyttämiseen sekä komponenttien kehittämiseen.

Scenario method in anticipating future opportunities of e-business in the forest industry

Tutkimuksen tavoitteena on ennakoida liiketoimintaprosessien sähköistymisen kehittymistä käyttämällä skenaariomenetelmää, yhtä laajimmin käytetyistä tulevaisuuden tutkimisen menetelmistä. Tarkastelun kohteena ovat erityisesti tulevaisuuden e-business -ratkaisut metsäteollisuudessa. Tutkimuksessa selvitetään skenaariomenetelmän ominaisuuksia, skenaariosuunnittelun periaatteita sekä menetelmän sopivuutta teknologian ja toimialan muutosten tarkasteluun. Tutkimuksen teoriaosassa selvitetään teknologian muutoksen vaikutusta toimialojen kehitykseen. Todettiin, että teknologisella muutoksella on vahva vaikutus toimialojen muutoksiin, ja että jokainen toimiala seuraa tietynlaista kehitystrajektoria. Yritysten tulee olla tietoisia teknologisen muutoksen nopeudesta ja suunnasta, ja seurata toimialansa kehityksen sääntöjä. Metsäteollisuudessa muutosten radikaali luonne sekä ICT-teknologian nopea kehitys asettavat haasteita liiketoimintaprosessien sähköistämisen kentässä. Empiriaosuudessa luotiin kolme erilaista skenaariota e-busineksen tulevaisuudesta metsäteollisuudessa. Skenaariot perustuvat pääosin aiheen asiantuntijoiden tämän hetkisiin näkemyksiin, joita koottiin skenaariotyöpajassa. Skenaarioiden muodostamisessa yhdistettiin kvalitatiivisia ja kvantitatiivisia elementtejä. Muodostetut kolme skenaariota osoittavat, että e-busineksen vaikutukset tulevaisuudessa nähdään pääosin positiivisina, ja että yritysten tulee kehittyä aktiivisesti ja joustavasti pystyäkseen hyödyntämään sähköisiä ratkaisuja tehokkaasti liiketoiminnassaan.

Revenue Logic inSoftware Business Context

Tutkimuksen tavoitteena oli selvittää ohjelmistotoimialan avaintekijöitä, jotka vaikuttavat yrityksen ansaintalogiikkaan sekä lisätä tietoisuutta ansaintalogiikan muodostumisesta pienissä ja keskisuurissa ohjelmistoyrityksissä. Tutkimuksen teoreettisessa osassa keskityttiin tarkastelemaan ansaintalogiikan, strategian ja liiketoimintamallin käsitteiden suhteita sekä arvioitiin toimialan osatekijöiden, hinnoitteluperiaatteiden ja ansaintamallien vaikutusta ansainnan muodostumiseen ohjelmistotoimialalla. Ohjelmistotuote ja - palveluliiketoimintaa koskien oli merkityksellistä tutkia tuotteistamisasteen ja arvoketjujen vaikutusta ansaintalogiikan muodostumisessa sekä esitellä erilaisia, tyypillisiä ohjelmistotoimialalla käytettäviä hinnoittelumenetelmiä. Työn empiirisessä osassa tarkasteltiin 23 suomalaisen ohjelmistoalan yrityksen ansaintalogiikkaa. Tiedot kerättiin haastatteluin ja analysoitiin laadullisen tutkimuksen keinoin. Tutkimustulokset korostivat ansaintalogiikan 'epämääräisyyttä' terminä mutta osoittivat, että ydinliiketoimintaan keskittyminen, tuote-, palvelu-, tai projektiliiketoiminnan osaaminen, tuotteistusaste ja kanavavalinnat ovat avaintekijöitä ansaintalogiikanmuodostumisessa. Ansaintalogiikan muodostamiseen liittyy paljon yrityksen sisäisiä ja ulkoisia haasteita sekä muutospaineita, eikä ohjelmistotoimialalla ole todennettavissa yhtä yleismaailmallista, menestyksen takaavaa ansaintalogiikkaa.

Organisaation innovatiivisuutta edistävät ja estävät tekijät. Case Technology Business Research Center

Tämän työn toimeksiantajaorganisaatio oli Lappeenrannan teknillisen yliopiston alainen, kauppatieteitä, teknologiaa ja tuotantotaloutta työssään yhdistävä tutkimusyksikkö, Technology Business Research Center, TBRC. Erään innovatiivisuustutkimusprojektin (InnoSpring) yhteydessä haluttiin selvittää myös oman tutkimusyksikön innovatiivisuuteen vaikuttavia, edistäviä ja estäviä tekijöitä. Tutkielman tavoitteena oli kartoittaa niitä seikkoja, jotka organisaation - tässä tapauksessa yliopiston tutkimusyksikön - henkilökunnan, projektityöntekijöiden, projektipäälliköiden sekä johdon mukaan vaikuttavat yksikön kykyyn luoda ja omaksua uutta, sen innovatiivisuuteen. Työ toteutettiin focus group-ryhmähaastattelumenetelmällä (kvalitatiivinen tutkimus), joihin osallistuivat omina ryhminään työntekijätaso, projektipäälliköt sekä johto.Haastattelut äänitettiin, litteroitiin ja koodattiin Atlas-Ti-ohjelmistolla. Loppuraportti verkostokuvineen luovutettiin tutkimuslaitokselle heinäkuussa 2005. Ryhmäkeskustelun teemoista ja kysymysten muodosta johtuen tulokset käsittelivät niin tutkimusyksikön nykyistä tilaa kuin eräänlaista "toivetilaa", millainen olisi ihanteellinen ja innovatiivinen työpaikka. Merkillepantavaa oli, että työssä tuli systemaattisesti esiin enemmän innovatiivisuutta edistäviä kuin ehkäiseviä seikkoja - vaikka osa edistävistä seikoista koskikin nimenomaan "toivetilaa". Keskustelluimpia teemoja olivat johtajuus,tavoitteellisuus ja strategian, yhteisen suunnan tarve. Samoin olemassa olevienprosessien kehittäminen, osaamisen (niin oman kuin koko organisaationkin) kokoaminen ja kehittäminen edelleen sekä tulosten jalkauttaminen.

Value added logistics in supply and demand chains. Smile. Part 1. eBusiness between global company and itslocal sme supplier network

VALOSADE (Value Added Logistics in Supply and Demand Chains) is the research project of Anita Lukka's VALORE (Value Added Logistics Research) research team inLappeenranta University of Technology. VALOSADE is included in ELO (Ebusiness logistics) technology program of Tekes (Finnish Technology Agency). SMILE (SME-sector, Internet applications and Logistical Efficiency) is one of four subprojects of VALOSADE. SMILE research focuses on case network that is composed of small and medium sized mechanical maintenance service providers and global wood processing customers. Basic principle of SMILE study is communication and ebusiness insupply and demand network. This first phase of research concentrates on creating backgrounds for SMILE study and for ebusiness solutions of maintenance case network. The focus is on general trends of ebusiness in supply chains and networksof different industries; total ebusiness system architecture of company networks; ebusiness strategy of company network; information value chain; different factors, which influence on ebusiness solution of company network; and the correlation between ebusiness and competitive advantage. Literature, interviews and benchmarking were used as research methods in this qualitative case study. Networks and end-to-end supply chains are the organizational structures, which can add value for end customer. Information is one of the key factors in these decentralized structures. Because of decentralization of business, information is produced and used in different companies and in different information systems. Information refinement services are needed to manage information flows in company networksbetween different systems. Furthermore, some new solutions like network information systems are utilised in optimising network performance and in standardizingnetwork common processes. Some cases have however indicated, that utilization of ebusiness in decentralized business model is not always a necessity, but value-add of ICT must be defined case-specifically. In the theory part of report, different ebusiness and architecture models are introduced. These models are compared to empirical case data in research results. The biggest difference between theory and empirical data is that models are mainly developed for large-scale companies - not for SMEs. This is due to that implemented network ebusiness solutions are mainly large company centered. Genuine SME network centred ebusiness models are quite rare, and the study in that area has been few in number. Business relationships between customer and their SME suppliers are nowadays concentrated more on collaborative tactical and strategic initiatives besides transaction based operational initiatives. However, ebusiness systems are further mainly based on exchange of operational transactional data. Collaborative ebusiness solutions are in planning or pilot phase in most case companies. Furthermore, many ebusiness solutions are nowadays between two participants, but network and end-to-end supply chain transparency and information systems are quite rare. Transaction volumes, data formats, the types of exchanged information, information criticality,type and duration of business relationship, internal information systems of partners, processes and operation models (e.g. different ordering models) differ among network companies, and furthermore companies are at different stages on networking and ebusiness readiness. Because of former factors, different customer-supplier combinations in network must utilise totally different ebusiness architectures, technologies, systems and standards.

R&D Performance Analysis: Case Studies on the Challenges and Promotion of the Evaluation and Measurement of R&D

Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.

Entry Strategy Issues in the Ophthalmic Industry: Entry Mode, Pricing and Distribution

Maahantulostrategia asettaa yrityksen kansainvälisiä liiketoimintoja ohjaavat tavoitteet, päämäärät, resurssit ja toiminnan suuntaviivat. Tämä diplomityö käsittelee yrityksen maahantulostrategian elementeistä operaatiomuodon valintaa, hinnoittelua ja jakelua. Työssä rakennetaan teoriakehys elementteihin liittyvien päätösten tutkimiseksi lääketeollisuuden ominaispiirteet huomioiden. Lääketeollisuudella on muihin teollisuudenaloihin verrattuna useita erityispiirteitä, joihin työ perehdyttää. Lisäksi työn olennainen osa on selvittää lääketeollisuuden maakohtaisia säädöksiä ja toimintamalleja. Diplomityö on tehty silmäläkkeitä valmistavalle, kehittävälle ja markkinoivalle Santen Oy:lle, joka suunnittelee toimintansa laajentamista Keski- ja Etelä-Euroopan markkinoille. Tässä laajentumisprosessissa ensimmäisenä kohdemaana on Saksa, jonka markkinoille suuntautuvia toimenpiteitä työ tutkii. Teoriakehyksen, markkinoiden ominaispiirteiden sekä useiden erilaisten analyysien pohjalta työn tavoitteena on antaa operaatiomuotoa, tuotteiden hinnoittelua ja jakelua koskevia suosituksia.

Key Account Management in Paper and Board Industry- Identification of Key Accounts for Stora Enso Graphical Boards

Tutkimuksen tarkoituksena oli tunnistaa nykyiset sekä potentiaaliset avainasiakkaat case yritykselle. Avainasiakkaat tunnistettiin Chevertonin tunnistamis- ja valintamatriisin avulla, jossa asiakkaan sijoittumista matriisiin arvioidaan asiakkaan houkuttelevuuden sekä toimittajan suhteellisten vahvuuksien avulla. Kriteereiksi avainasiakkaiden tunnistamiseen valittiin asiakkaan vuotuinen ostovolyymi, asiakkaan business-potentiaali sekä case-yrityksen toimittajaosuus. Asiakkaat luokiteltiin avainasiakkaisiin, kehitettäviin avainasiakkaisiin, ylläpidettäviin asiakkaisiin sekä satunnaisiin asiakkaisiin. Tutkimus tarjosi lähtökohdan case-yrityksen uusille avainasiakaspäälliköille sekä osoitti suunnan tulevaisuuden tutkimustarpeille. Aktiivisen tiedonvaihdannan kautta eri myyntikonttoreiden johtohenkilöstön sekä myös yrityksen eri funktionaalisten divisioonien välillä voidaan saavuttaa kilpailuetua kun lähestytään asiakasta toimintojaan järkiperäisesti koordinoineena toimittajana samalla kun asiakkaat keskittävät ostojaan. Jotta yrityksen tavoitteet, markkinamahdollisuudet sekä resurssit olisivat hyvin tasapainossa, tulisi myös asiakaskannattavuutta sekä asiakkaiden strategista merkittävyyttä arvioida ja mitata säännöllisesti tässä tutkimuksessa käytettyjen tunnistuskriteereiden lisäksi.

Low-ARPU mobile offering in the selected markets of Russia and Eurasia

Tutkimuksen tavoitteena on analysoida alhaisen tuloluokan segmentille kohdennettavaa mobiilituotetarjoomaa lähtien kohdesegmenttien määrittelystä aina suositeltavien tuoteominaisuuksien rajaamiseen. Taustatutkimuksen avulla selvitetään mobiilimarkkinoiden kehitykseen vaikuttavia tekijöitä asiakaspotentiaalin ja tulevaisuudennäkymien arvioimiseksi. Haastattelututkimuksen avulla on selvitetty kohdesegmentin mobiilipalvelujen tarvetta ja kyseisten markkinoiden tarjoamia mahdollisuuksia, jotta tähän tarpeeseen voidaan kannattavasti vastata. Mobiilipalveluiden saattamiseksi myös alhaisten tuloluokkien ulottuville, on loppuasiakkaalle mobiililiittymän hankkimisesta aiheutuva kokonaiskustannus saatava laskettua huomattavasti nykyistä alhaisemmalle tasolle. Tämä edellyttää, että operaattorin on voitava karsia omia kustannuksiaan jokaisella osa-alueella, ja kehitettävä uusia liiketoimintamalleja kannattavuuden säilyttämiseksi. Pohjimmiltaan tämä tarkoittaa sujuvaa yhteistyötä verkkojen ja mobiilipuhelinten valmistajien kanssa, huolellista markkinoiden segmentointia sekä tuotetarjooman kohdentamista.