Establishment of a health and safety management system according to the OHSAS 18001 standard

The thesis develops guidelines for the implementation of the health and safety management system according to the OHSAS 18001 standard, as well as the feasible threat analysis, project proposal schedule, future system quality improvements and organizational change evaluation. The theoretical part clarifies determination of occupational health and safety, its management system, the OHSAS 18001 standard and integrated management system compounded of triple ISO 14001, ISO 9001 and OHSAS 18001 standards. The literature includes such important aspects as human factor, organizational policies, possible benefits, threats, organizational safety culture, Deming’s quality improvement cycle, system implementation, maintenance and cost matters. The empirical part demonstrates real-life situation by using Andritz Pulp & Paper Oy as a case study. Prior the thesis proposal, Andritz Group is analysed including separate business areas, acquisition and integration strategies, current status of the health and safety management and parallel experiences of the largest business area Andritz Hydro. The proposal is aimed at improving the current health and safety system for the permanent and sub-contracted employees at Andritz Pulp & Paper both in Finland and in various projects globally.

Measuring effects of strategic utilization of social media in business-to-business marketing: Case Greenlux Finland Oy

Utilization of social media is increasingly common in B2B marketing. Social media is an efficient and cheap marketing and communication channel available for everyone, and thus extremely attractive marketing medium. The more companies get involved in social media the more failures are reported. It is not enough for a company to just be present in social media. Succeeding on it requires hard work, investing time and money, and ability to measure and to monitor performance. With an increasing number of companies failing in utilizing social media, together with lack of research on strategic utilization of social media focusing on B2B marketing, measuring, and monitoring create a purpose for this research. The aim of this research is to discover methods for measuring and monitoring effects of strategic utilization of social media in B2B marketing. Most relevant financial and non-financial indicators are discussed, and the methods by which these can be monitored and measured. In addition, effects of strategic utilization of social media on the case company are measured and analyzed. The research methodology used in this research is a participatory action research, which includes elements of both qualitative and quantitative research methods. The case company examined in the research provides a unique opportunity to follow through all phases of strategic utilization of social media for B2B marketing purposes concluding real effects of social media to the case company, and thus gain a deep understanding about this new marketing medium in the perspective of B2B marketing. Duration of the research period is seven months. During this time, information is collected, measured, and analyzed. Case company does not have any other marketing activities simultaneously which makes it possible to examine social media apart from effects of other visible marketing activities. Effects of strategic utilization of social media can be monitored and measured in many ways. Methods that should be used depend on goals set for social media. Fundamental nature of social media requires multidimensional assessment, and thus effects should be measured, and monitored considering both financial and non-financial indicators. The results implicates that effects of strategic utilization of social media are relatively wide ranged. According to the findings, social media affects positively on brand, number of web page visitors, visitor behavior, and on distribution of awareness. According to investment calculations social media is a legitimate investment for case company. Results also implicate that by using social media case company gains conversation, arouses interest, gets attention, and creates interactivity. In addition and as a side note, winter holiday season appears to have a great effect on social media activity of B2B companies’ representatives.

Industrial solution business – transition from product to solution offering

The business logic in the manufacturing industry has changed in the 21st century. In the current industrial market, manufacturers are driven to provide more comprehensive offerings that go beyond the traditional product-orientation by providing capacity and availability for their customers. From incidental merchandise, services have become the core of manufacturers’ offerings with long-lasting service agreements over the life-cycles of their products. This change is driven both by the need of providers to grow and gain competitive advantage and by increased customer demand caused by customers’ outsourcing trends. The three key drivers for manufacturers’ service strategies are outsourcing trends, saturation of the installed base, and commoditization in product markets. Thus, manufacturers focus on providing industrial solutions which are delivered through relational processes with customers by using solution-driven business models. In the management of marketing activities, this can be regarded as closer customer relationships, service-dominant business logic, and collaboration in solving customers’ problems. However, there are few studies on comprehensive conceptualizations of a solution offering that include different elements and their roles, especially in the context of capital goods industry. Also the transition process needs further studies in a real life context. This study explores the transition process of an industrial company from product to solution business and, as an aid to managing the solution business, explicates the structure and management of an industrial solution offering. There are two themes, the industrial transition process and industrial solution offering. Regarding the industrial transition process, the aim is to understand the supplier view on the process and its execution and to determine the challenges related to the transition process. The industrial solution offering is discussed by its elements and characteristics, as well as management. Furthermore, a special type of build-own-operate-transfer business model is presented and its suitability in the industrial context analyzed. The study includes findings achieved by qualitative methods and from four case companies. Based on the results, it is tentatively suggested that in the industrial solution business, the transition from product to solution business is not a linear project but an evolving process that varies according to customer needs, which suggests that companies need to possess an ability to develop new business models for different customer needs. The industrial solution offering is dynamic as it evolves in collaboration according to the prevailing and latent customer needs, which suggest restructuring of the organization from a product-centric to a customer-centric one. Furthermore, based on the findings, the concept of industrial solutions is defined as an ongoing relational process to satisfy a customer’s particular business or operational requirements, and the concept of industrial solution offering as an entity comprising the customized goods, services, collaboration, and finance needed to fulfill the industrial solution. Finally, the study offers several managerial implications for industrial managers involved in the transition and management of the solution business and its offering.

Creating an open-books implementation framework for a maintenance-related value-based life-cycle model

This study is a qualitative action research by its nature with elements of personal design in the form of a tangible model implementation framework construction. Utilized empirical data has been gathered via two questionnaires in relation to the arranged four workshop events with twelve individual participants. Five of them represented maintenance customers, three maintenance service providers and four equipment providers respectively. Further, there are two main research objectives in proportion to the two complementary focusing areas of this thesis. Firstly, the value-based life-cycle model, which first version has already been developed prior to this thesis, requires updating in order to increase its real-life applicability as an inter-firm decision-making tool in industrial maintenance. This first research objective is fulfilled by improving appearance, intelligibility and usability of the above-mentioned model. In addition, certain new features are also added. The workshop participants from the collaborating companies were reasonably pleased with made changes, although further attention will be required in future on the model’s intelligibility in particular as main results, charts and values were all reckoned as slightly hard to understand. Moreover, upgraded model’s appearance and added new features satisfied them the most. Secondly and more importantly, the premises of the model’s possible inter-firm implementation process need to be considered. This second research objective is delivered in two consecutive steps. At first, a bipartite open-books supported implementation framework is created and its different characteristics discussed in theory. Afterwards, the prerequisites and the pitfalls of increasing inter-organizational information transparency are studied in empirical context. One of the main findings was that the organizations are not yet prepared for network-wide information disclosure as dyadic collaboration was favored instead. However, they would be willing to share information bilaterally at least. Another major result was that the present state of companies’ cost accounting systems will definitely need implementation-wise enhancing in future since accurate and sufficiently detailed maintenance data is not available. Further, it will also be crucial to create supporting and mutually agreed network infrastructure. There are hardly any collaborative models, methods or tools currently in usage. Lastly, the essential questions about mutual trust and predominant purchasing strategies are cooperation-wise important. If inter-organizational activities are expanded, a more relational approach should be favored in this regard. Mutual trust was also recognized as a significant cooperation factor, but it is hard to measure in reality.

Business intelligence viewpoint on managerial decision-making : Ill-structured problems and decision support systems

Vaikka liiketoimintatiedon hallintaa sekä johdon päätöksentekoa on tutkittu laajasti, näiden kahden käsitteen yhteisvaikutuksesta on olemassa hyvin rajallinen määrä tutkimustietoa. Tulevaisuudessa aiheen tärkeys korostuu, sillä olemassa olevan datan määrä kasvaa jatkuvasti. Yritykset tarvitsevat jatkossa yhä enemmän kyvykkyyksiä sekä resursseja, jotta sekä strukturoitua että strukturoimatonta tietoa voidaan hyödyntää lähteestä riippumatta. Nykyiset Business Intelligence -ratkaisut mahdollistavat tehokkaan liiketoimintatiedon hallinnan osana johdon päätöksentekoa. Aiemman kirjallisuuden pohjalta, tutkimuksen empiirinen osuus tunnistaa liiketoimintatiedon hyödyntämiseen liittyviä tekijöitä, jotka joko tukevat tai rajoittavat johdon päätöksentekoprosessia. Tutkimuksen teoreettinen osuus johdattaa lukijan tutkimusaiheeseen kirjallisuuskatsauksen avulla. Keskeisimmät tutkimukseen liittyvät käsitteet, kuten Business Intelligence ja johdon päätöksenteko, esitetään relevantin kirjallisuuden avulla – tämän lisäksi myös dataan liittyvät käsitteet analysoidaan tarkasti. Tutkimuksen empiirinen osuus rakentuu tutkimusteorian pohjalta. Tutkimuksen empiirisessä osuudessa paneudutaan tutkimusteemoihin käytännön esimerkein: kolmen tapaustutkimuksen avulla tutkitaan sekä kuvataan toisistaan irrallisia tapauksia. Jokainen tapaus kuvataan sekä analysoidaan teoriaan perustuvien väitteiden avulla – nämä väitteet ovat perusedellytyksiä menestyksekkäälle liiketoimintatiedon hyödyntämiseen perustuvalle päätöksenteolle. Tapaustutkimusten avulla alkuperäistä tutkimusongelmaa voidaan analysoida tarkasti huomioiden jo olemassa oleva tutkimustieto. Analyysin tulosten avulla myös yksittäisiä rajoitteita sekä mahdollistavia tekijöitä voidaan analysoida. Tulokset osoittavat, että rajoitteilla on vahvasti negatiivinen vaikutus päätöksentekoprosessin onnistumiseen. Toisaalta yritysjohto on tietoinen liiketoimintatiedon hallintaan liittyvistä positiivisista seurauksista, vaikka kaikkia mahdollisuuksia ei olisikaan hyödynnetty. Tutkimuksen merkittävin tulos esittelee viitekehyksen, jonka puitteissa johdon päätöksentekoprosesseja voidaan arvioida sekä analysoida. Despite the fact that the literature on Business Intelligence and managerial decision-making is extensive, relatively little effort has been made to research the relationship between them. This particular field of study has become important since the amount of data in the world is growing every second. Companies require capabilities and resources in order to utilize structured data and unstructured data from internal and external data sources. However, the present Business Intelligence technologies enable managers to utilize data effectively in decision-making. Based on the prior literature, the empirical part of the thesis identifies the enablers and constraints in computer-aided managerial decision-making process. In this thesis, the theoretical part provides a preliminary understanding about the research area through a literature review. The key concepts such as Business Intelligence and managerial decision-making are explored by reviewing the relevant literature. Additionally, different data sources as well as data forms are analyzed in further detail. All key concepts are taken into account when the empirical part is carried out. The empirical part obtains an understanding of the real world situation when it comes to the themes that were covered in the theoretical part. Three selected case companies are analyzed through those statements, which are considered as critical prerequisites for successful computer-aided managerial decision-making. The case study analysis, which is a part of the empirical part, enables the researcher to examine the relationship between Business Intelligence and managerial decision-making. Based on the findings of the case study analysis, the researcher identifies the enablers and constraints through the case study interviews. The findings indicate that the constraints have a highly negative influence on the decision-making process. In addition, the managers are aware of the positive implications that Business Intelligence has for decision-making, but all possibilities are not yet utilized. As a main result of this study, a data-driven framework for managerial decision-making is introduced. This framework can be used when the managerial decision-making processes are evaluated and analyzed.

Customer value assessment in business markets

Understanding how firms create, communicate, and deliver value to customers is a key factor when firms seek to differentiate in increasingly competitive and commoditized business markets. As product and price have become less important differentiators in many industries, suppliers are increasingly seeking ways to differentiate themselves based on delivered customer value. Therefore, to gain a holistic understanding on what their offerings are worth to the customer, suppliers need to conduct customer value assessment, which quantifies the impact of a supplier´s offering to customers’ costs and returns. However, from a managerial perspective, customer value assessment is the single most critical challenge for firms in business markets. Consequently, developing holistic frameworks for customer value assessment is seen as one of the most important research priorities for marketing research. The purpose of this study is to explore the process of customer value assessment in business markets. Business markets represent a context where an increasing number of industrial firms are transitioning from basic product offerings towards service-based and solution-oriented hybrid offerings, which emphasize value co-creation and realization in the long term, thus making it difficult to quantify their monetary value. This study employs exploratory and qualitative research design by applying inductive and discovery-oriented grounded theory and multiple case research methods. The empirical data comprise interviews with 61 managers from 12 industrial firms, including seven best practice firms in customer value assessment. The findings of this study show that customer value assessment is essentially a crossfunctional process, which involves several organizational functions. The process begins well before and continues long after the actual delivery, often until the end of a supplier´s offering’s life-cycle. Furthermore, the findings shed light on alternative strategies that firms in business markets can adopt to implement the customer value assessment process. Overall, the findings contribute to customer value research, the sales and organizational management literature, the service marketing and solutions business literature, and suggest several managerial implications on how firms in business markets can adopt a holistic approach to assess value created for customers.

Elinkaarihankkeen rakennusliikeriskit

Tiivistelmä: Elinkaaren palvelumallit ovat suosittuja julkisten palveluiden hankintamuotoja Iso-Britanniassa. PPP–malli on yksi monista julkisten palvelujen kumppanuusmalleista, josta on tullut joissakin kunnissa yhä suositumpi hankintamalli myös Suomessa. Tämä on seurausta kuntien tiukasta taloustilanteesta, jossa PPP–hankkeen katsotaan mahdollistavan julkisen sektorin investoinnit joutumatta leikkaamaan muita pakollisia hankintoja. Kuitenkin koko elinkaaren kattavat palvelutarjonnan hankintamallit ovat vielä melko uusia malleja ja meillä on tarve löytää toimivia sopimusmalleja ja käytäntöjä, jotta hankkeista saadaan rakennusliikettä kiinnostavia liiketoimintamalleja. Ulkomailla elinkaarihankkeista on tehty monia tutkimuksia ja konsultit ovat kääntäneet niitä omiin tarkoituksiinsa sopiviksi. Kuitenkin Suomen lainsäädäntö on erilainen julkisten palveluiden tuottamisessa, erityisesti lakisääteisissä terveydenhuoltopalveluissa, vesi- ja jätevesihuollossa, vankeinhoidossa, ja niin edelleen. Tästä näkökulmasta ulkomailla tehdyt tutkimukset eivät sellaisenaan sovi Suomeen käytettäviksi. Esimerkiksi tutkimuksissa esitetään, että elinkaarihankkeet tuottavat pitkän aikavälin kassavirtaan, mutta tämä etu koskee vain rahoittaja ja kiinteistöpalvelu yrityksiä - ei rakennusyritystä. Tutkimuksissa mainitaan myös muista elinkaarihankkeiden mahdollisuuksista, jotka jäävät kuitenkin rakennusliikkeen näkökulmasta epäselviksi. Perinteisiin rakennuttamisen malleihin verrattuna elinkaarihankkeiden sopimusmenettelyt ovat monimutkaisempia sekä aikaa vievempiä ja sopijaosapuolten yhteistyö elinkaarihankkeissa on välttämätöntä. Käytännössä elinkaarihankkeiden riskienjako nähdään julkisen sektorin ja yksityisen sektorin välillä yksipuoliseksi. Jotta elinkaarimalli yleistyisi Suomessa, niin elinkaarisopimuksen riskienjaosta on tehtävä tasapuolinen ja käyttäjä pitää saada myös riskejä kantamaan. Tässä työssä keskitytään arvioimaan elinkaarimallien keskeisiä menestystekijöitä ja riskitekijöitä ja löytää mahdollisia tapoja tehdä hankintaprosessista helppoa ja sujuvaa. Samalla yritetään selvittää, miten elinkaarihankkeesta saadaan rakennusliikkeen kannalta menestyvää liiketoimintaa. Johtopäätökset perustuvat aikaisempiin tutkimuksiin ja empiiriseen tapaustutkimukseen. Työssä arvioidaan niitä seikkoja, jotka vaikuttavat yksityisen sektorin tarjouspäätökseen. Arvioinnissa erotetaan toisistaan kolme erillistä riskitekijää; tarjouksen tekemisen riskit, rakennushankkeen riskit ja elinkaaren aikaiset riskit. Työssä todetaan, että aikaisemmat tutkimukset ovat riittämättömiä rakennusliikkeen riskien arvioimiseen.

The usage of experimental research in business-to-business marketing context in academic marketing journals

The aim of this master’s thesis is to introduce what is experimental research and how the researcher is able to use this researching method in business-to-business context. This work has been done with analyzing articles of four academic marketing journals from years 1992-2012. In the literature part there is introduction of the nature of the experimental research, its terminology and design. There is also discussion about limitations of experimental research and comparison of experimental research to quasi-experimental design. In the results part there is a review how experimental research has been used in the business-to-business context in the past two decades. In the analysis there is introduction of themes, samplings, different kinds of variables and main findings. The work offers a good understanding to nature of experimental research and useful data for organizing a real experimental study.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

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.

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.

Valmistavan tehtaan tuotannon tehostaminen reaaliaikaisen tiedon avulla

Teollinen toimintaympäristö on muuttunut globalisaation seurauksena. Sisäisten ja ulkoisten asiakkaiden vaatimukset ovat entistä haastavampia toimitusajan, laadun ja kustannusten suhteen. Yritysten on automatisoitava toimintoja, jotta voidaan saavuttaa kilpailuetua ja parantaa yrityksen tehokkuutta. Diplomityön tarkoitus on kirjallisuus- ja vertailututkimuksen yhteenvetona koostaa asiakasyrityksen tarpeisiin soveltuva toimintomalli reaaliaikaisen tiedon hyödyntä-miseen valmistavan tehtaan tuotannon tehostamisessa. Kirjallisuustutkimusten avulla pyritään analysoimaan valmistavan teollisuuden erityispiirteet toimintaympäristön osalta, kartoittamaan soveltuvin teknologia haastavaan toimintaympäristöön sekä löytää keinot kuinka reaaliaikaista tietoa hyödynnetään tuotannon tehokkuuden toteutumisessa. Vertailututkimuksessa analysoidaan kahta reaaliaikaista tietoa toiminnoissaan hyödyntävää yritystä, joiden tuloksia verrataan kirjallisuustutkimuksen aineistoon. Työn soveltavassa osuudessa luotiin toimintomalli asiakasyrityksen tarpeisiin, huomioiden tehtaan toiminnot kokonaisuutena. Toimintomallin avulla yritys pystyy toteuttamaan reaaliaikaisen tiedon keräämisen sekä hyödyntämisen yrityksen toi-minnoista. Toimintomallin toimivuus todettiin soveltamalla pilot-projekti asiakasyrityksen tuotantoon ja analysoitiin saavutettuja tuloksia haastattelujen sekä kvalitatiivisten tulosten perusteella. Työn tutkimukset osoittivat haasteet valmistavan teollisuuden toimintaympäristön ja automaatioteknologian soveltamisessa. Yritysten tulee suunnitteella toimintamallin kokonaisuus ja pohtia järjestelmän toimivuutta ongelmatilanteissa. Reaaliaikaisen tiedonkeruun soveltaminen onnistuneesti mahdollistaa hyötyjä monella tapaa. Merkittävimmät ovat tehokkuuden kehittyminen toimintojen nopeutumisena sekä resurssisäästöt toimintojen automatisoinnin johdosta. Reaaliaikaista tietoa voidaan hyödyntää myös suorituskyvyn johtamisessa mittariston avulla.

A phthalide derivative isolated from endophytic fungiPestalotiopsis photiniae induces G1 cell cycle arrest and apoptosis in human HeLa cells

MP [4-(3′,3′-dimethylallyloxy)-5-methyl-6-methoxyphthalide] was obtained from liquid culture of Pestalotiopsis photiniaeisolated from the Chinese Podocarpaceae plant Podocarpus macrophyllus. MP significantly inhibited the proliferation of HeLa tumor cell lines. After treatment with MP, characteristic apoptotic features such as DNA fragmentation and chromatin condensation were observed in DAPI-stained HeLa cells. Flow cytometry showed that MP induced G1 cell cycle arrest and apoptosis in a dose-dependent manner. Western blotting and real-time reverse transcription-polymerase chain reaction were used to investigate protein and mRNA expression. MP caused significant cell cycle arrest by upregulating the cyclin-dependent kinase inhibitor p27KIP1 protein and p21CIP1 mRNA levels in HeLa cells. The expression of p73 protein was increased after treatment with various MP concentrations. mRNA expression of the cell cycle-related genes, p21CIP1, p16INK4a and Gadd45α, was significantly upregulated and mRNA levels demonstrated significantly increased translation ofp73, JunB, FKHR, andBim. The results indicate that MP may be a potential treatment for cervical cancer.

Nettonykyarvon soveltaminen liiketoiminnassa

Työn tavoitteena on selvittää, mitkä ovat nettonykyarvon edut ja haitat, sekä tutkia minkälaisia sovellettuja nettonykyarvomenetelmiä on haittojen eliminoimiseksi. Työssä tutkitaan myös sitä, miten nettonykyarvoa käytetään nykyajan liiketoiminnassa. Työn teoriaosuudessa tarkastellaan lyhyesti nettonykyarvon historiaa, määritellään nettonykyarvo sekä sen edut ja haitat. Sovellusmenetelmistä käsitellään reaalioptioiden tuomaa lisäarvoa investointiprojekteissa sekä nettonykyarvon sovellusta, jossa varaudutaan riskiin erottelemalla se omaksi termikseen. Nykyajan liiketoiminnassa nettonykyarvoa sovelletaan elinkaariajattelussa sekä liiketoimintasuhteissa. Työ sisältää teoriaosuuden sekä laskentaosuuden, jossa eri nettonykyarvomenetelmille on laskettu tulokset osittain samaa lähtötilannetta käyttäen. Työssä havaitaan, että sovellusmenetelmät, etenkin reaalioptiot, tuovat lisäarvoa ja joustavuutta investointiprojekteihin sekä liiketoimintasuhteisiin.

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.