Demand forecasting process design and methods in medium sized enterprise

The purpose of this thesis was to study the design of demand forecasting processes and management of demand. In literature review were different processes found and forecasting methods and techniques interviewed. Also role of bullwhip effect in supply chain was identified and how to manage it with information sharing operations. In the empirical part of study is at first described current situation and challenges in case company. After that will new way to handle demand introduced with target budget creation and how information sharing with 5 products and a few customers would bring benefits to company. Also the new S&OP process created within this study and organization for it.

Comparison of Model-Based Flow Rate Estimation Methods in Frequency-Converter-Driven Pumps and Fans

Fluid handling systems such as pump and fan systems are found to have a significant potential for energy efficiency improvements. To deliver the energy saving potential, there is a need for easily implementable methods to monitor the system output. This is because information is needed to identify inefficient operation of the fluid handling system and to control the output of the pumping system according to process needs. Model-based pump or fan monitoring methods implemented in variable speed drives have proven to be able to give information on the system output without additional metering; however, the current model-based methods may not be usable or sufficiently accurate in the whole operation range of the fluid handling device. To apply model-based system monitoring in a wider selection of systems and to improve the accuracy of the monitoring, this paper proposes a new method for pump and fan output monitoring with variable-speed drives. The method uses a combination of already known operating point estimation methods. Laboratory measurements are used to verify the benefits and applicability of the improved estimation method, and the new method is compared with five previously introduced model-based estimation methods. According to the laboratory measurements, the new estimation method is the most accurate and reliable of the model-based estimation methods.

Intelligence acquisition methods in cyber domain : examining the circumstantial applicability of cyber intelligence acquisition methods using a hierarchical model

Phenomena in cyber domain, especially threats to security and privacy, have proven an increasingly heated topic addressed by different writers and scholars at an increasing pace – both nationally and internationally. However little public research has been done on the subject of cyber intelligence. The main research question of the thesis was: To what extent is the applicability of cyber intelligence acquisition methods circumstantial? The study was conducted in sequential a manner, starting with defining the concept of intelligence in cyber domain and identifying its key attributes, followed by identifying the range of intelligence methods in cyber domain, criteria influencing their applicability, and types of operatives utilizing cyber intelligence. The methods and criteria were refined into a hierarchical model. The existing conceptions of cyber intelligence were mapped through an extensive literature study on a wide variety of sources. The established understanding was further developed through 15 semi-structured interviews with experts of different backgrounds, whose wide range of points of view proved to substantially enhance the perspective on the subject. Four of the interviewed experts participated in a relatively extensive survey based on the constructed hierarchical model on cyber intelligence that was formulated in to an AHP hierarchy and executed in the Expert Choice Comparion online application. It was concluded that Intelligence in cyber domain is an endorsing, cross-cutting intelligence discipline that adds value to all aspects of conventional intelligence and furthermore that it bears a substantial amount of characteristic traits – both advantageous and disadvantageous – and furthermore that the applicability of cyber intelligence methods is partly circumstantially limited.

Detecting Deceit – Guessing or Assessing? Study on the Applicability of Veracity Assessment Methods in Human Intelligence

Intelligence from a human source, that is falsely thought to be true, is potentially more harmful than a total lack of it. The veracity assessment of the gathered intelligence is one of the most important phases of the intelligence process. Lie detection and veracity assessment methods have been studied widely but a comprehensive analysis of these methods’ applicability is lacking. There are some problems related to the efficacy of lie detection and veracity assessment. According to a conventional belief an almighty lie detection method, that is almost 100% accurate and suitable for any social encounter, exists. However, scientific studies have shown that this is not the case, and popular approaches are often over simplified. The main research question of this study was: What is the applicability of veracity assessment methods, which are reliable and are based on scientific proof, in terms of the following criteria? o Accuracy, i.e. probability of detecting deception successfully o Ease of Use, i.e. easiness to apply the method correctly o Time Required to apply the method reliably o No Need for Special Equipment o Unobtrusiveness of the method In order to get an answer to the main research question, the following supporting research questions were answered first: What kinds of interviewing and interrogation techniques exist and how could they be used in the intelligence interview context, what kinds of lie detection and veracity assessment methods exist that are reliable and are based on scientific proof and what kind of uncertainty and other limitations are included in these methods? Two major databases, Google Scholar and Science Direct, were used to search and collect existing topic related studies and other papers. After the search phase, the understanding of the existing lie detection and veracity assessment methods was established through a meta-analysis. Multi Criteria Analysis utilizing Analytic Hierarchy Process was conducted to compare scientifically valid lie detection and veracity assessment methods in terms of the assessment criteria. In addition, a field study was arranged to get a firsthand experience of the applicability of different lie detection and veracity assessment methods. The Studied Features of Discourse and the Studied Features of Nonverbal Communication gained the highest ranking in overall applicability. They were assessed to be the easiest and fastest to apply, and to have required temporal and contextual sensitivity. The Plausibility and Inner Logic of the Statement, the Method for Assessing the Credibility of Evidence and the Criteria Based Content Analysis were also found to be useful, but with some limitations. The Discourse Analysis and the Polygraph were assessed to be the least applicable. Results from the field study support these findings. However, it was also discovered that the most applicable methods are not entirely troublefree either. In addition, this study highlighted that three channels of information, Content, Discourse and Nonverbal Communication, can be subjected to veracity assessment methods that are scientifically defensible. There is at least one reliable and applicable veracity assessment method for each of the three channels. All of the methods require disciplined application and a scientific working approach. There are no quick gains if high accuracy and reliability is desired. Since most of the current lie detection studies are concentrated around a scenario, where roughly half of the assessed people are totally truthful and the other half are liars who present a well prepared cover story, it is proposed that in future studies lie detection and veracity assessment methods are tested against partially truthful human sources. This kind of test setup would highlight new challenges and opportunities for the use of existing and widely studied lie detection methods, as well as for the modern ones that are still under development.

Characteristics of credit risk assessment methods of major Nordic banks in allocating capital when extending credits to large corporations

Credit risk assessment is an integral part of banking. Credit risk means that the return will not materialise in case the customer fails to fulfil its obligations. Thus a key component of banking is setting acceptance criteria for granting loans. Theoretical part of the study focuses on key components of credit assessment methods of Banks in the literature when extending credits to large corporations. Main component is Basel II Accord, which sets regulatory requirement for credit risk assessment methods of banks. Empirical part comprises, as primary source, analysis of major Nordic banks’ annual reports and risk management reports. As secondary source complimentary interviews were carried out with senior credit risk assessment personnel. The findings indicate that all major Nordic banks are using combination of quantitative and qualitative information in credit risk assessment model when extending credits to large corporations. The relative input of qualitative information depends on the selected approach to the credit rating, i.e. point-in-time or through-the-cycle.

Comparison of five popular normalization methods using a spike-in proteomics data set

Mass spectrometry (MS)-based proteomics has seen significant technical advances during the past two decades and mass spectrometry has become a central tool in many biosciences. Despite the popularity of MS-based methods, the handling of the systematic non-biological variation in the data remains a common problem. This biasing variation can result from several sources ranging from sample handling to differences caused by the instrumentation. Normalization is the procedure which aims to account for this biasing variation and make samples comparable. Many normalization methods commonly used in proteomics have been adapted from the DNA-microarray world. Studies comparing normalization methods with proteomics data sets using some variability measures exist. However, a more thorough comparison looking at the quantitative and qualitative differences of the performance of the different normalization methods and at their ability in preserving the true differential expression signal of proteins, is lacking. In this thesis, several popular and widely used normalization methods (the Linear regression normalization, Local regression normalization, Variance stabilizing normalization, Quantile-normalization, Median central tendency normalization and also variants of some of the forementioned methods), representing different strategies in normalization are being compared and evaluated with a benchmark spike-in proteomics data set. The normalization methods are evaluated in several ways. The performance of the normalization methods is evaluated qualitatively and quantitatively on a global scale and in pairwise comparisons of sample groups. In addition, it is investigated, whether performing the normalization globally on the whole data or pairwise for the comparison pairs examined, affects the performance of the normalization method in normalizing the data and preserving the true differential expression signal. In this thesis, both major and minor differences in the performance of the different normalization methods were found. Also, the way in which the normalization was performed (global normalization of the whole data or pairwise normalization of the comparison pair) affected the performance of some of the methods in pairwise comparisons. Differences among variants of the same methods were also observed.

Project controlling and risk management in German machine and plant engineering industry

Tutkielman tavoitteena on määritellä projektikontrolloinnin ja - riskijohtamisen roolit ja toiminnot saksalaisissa kone- ja tehdassuunnitteluteollisuusyrityksissä. Tämä on kvalitatiivinen tutkielma, jossa käytetään voimakkaasti kuvailevia metodeita. Materiaali tutkimuksen empiiriseen osaan kerättiin kyselykaavakkeen avulla. Kyselykaavakkeiden tulokset käsiteltiin Microsoft Office Access- ohjelmalla ja analysoitiin Microsoft Office Excel- ohjelmalla ja Pivot table- työkalun avulla. Tutkimustulokset osoittavat, että asianmukaisessa projektikontrollointi- ja riskijohtamismetodien käytössä ja käyttötiheydessä esiintyy puutteita saksalaisissa kone- ja tehdassuunnitteluteollisuusyrityksissä. Tehostamalla ja keskittymällä enemmän projektikontrollointi- ja riskijohtamismetodeihin ja prosesseihin sekä projektien että yritysten suorituskyky paranisi.

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.

Value added logistics in supply and demand chain. Smile. Part 2. eBusiness in a service business. Case: A maintenance and operations network in forest industry

VVALOSADE is a research project of professor Anita Lukka's VALORE research team in the Lappeenranta University of Technology. The VALOSADE includes the ELO technology program of Tekes. SMILE is one of four subprojects of the VALOSADE. The SMILE study focuses on the case of the company network that is composed of small and micro-sized mechanical maintenance service providers and forest industry as large-scale customers. The basic principle of the SMILE study is the communication and ebusiness in supply and demand networks. The aim of the study is to develop ebusiness strategy, ebusiness model and e-processes among the SME local service providers, and onthe other hand, between the local service provider network and the forest industry customers in a maintenance and operations service business. A literature review, interviews and benchmarking are used as research methods in this qualitative case study. The first SMILE report, 'Ebusiness between Global Company and Its Local SME Supplier Network', concentrated on creating background for the SMILE study by studying general trends of ebusiness in supply chains and networks of different industries. This second phase of the study concentrates on case network background, such as business relationships, information systems and business objectives; core processes in maintenance and operations service network; development needs in communication among the network participants; and ICT solutions to respond needs in changing environment. In the theory part of the report, different ebusiness models and frameworks are introduced. Those models and frameworks are compared to empirical case data. From that analysis of the empirical data, therecommendations for the development of the network information system are derived. In process industry such as the forest industry, it is crucial to achieve a high level of operational efficiency and reliability, which sets up great requirements for maintenance and operations. Therefore, partnerships or strategic alliances are needed between the network participants. In partnerships and alliances, deep communication is important, and therefore the information systems in the network also are critical. Communication, coordination and collaboration will increase in the case network in the future, because network resources must be optimised to improve competitive capability of the forest industry customers and theefficiency of their service providers. At present, ebusiness systems are not usual in this maintenance network. A network information system among the forest industry customers and their local service providers actually is the only genuinenetwork information system in this total network. However, the utilisation of that system has been quite insignificant. The current system does not add value enough either to the customers or to the local service providers. At present, thenetwork information system is the infomediary that share static information forthe network partners. The network information system should be the transaction intermediary, which integrates internal processes of the network companies; the network information system, which provides common standardised processes for thelocal service providers; and the infomediary, which share static and dynamic information on right time, on right partner, on right costs, on right format and on right quality. This study provides recommendations how to develop this system in the future to add value to the network companies. Ebusiness scenarios, vision, objectives, strategies, application architecture, ebusiness model, core processes and development strategy must be considered when the network information system will be developed in the next development step. The core processes in the case network are demand/capacity management, customer/supplier relationship management, service delivery management, knowledge management and cash flow management. Most benefits from ebusiness solutions come from the electrifying of operational level processes, such as service delivery management and cash flow management.

The role of Bluetooth technology in transforming the value network of ICT industry

Tutkimuksen tavoitteena oli selvittää miten Bluetooth-teknologia voi vaikuttaa ICT-alan arvoverkkoon ja alan toimijoiden rooleihin. Tutkimuksessa käytettiin kvalitatiivisia menetelmiä ja siinä oli piirteitä tulevaisuuden tutkimuksesta, koska myös eksploratiivisia menetelmiä käytettiin. Tutkimus perustui laajalti kirjallisuuteen ja artikkeleihin, joiden perusteella muodostettiin skenaarioita ICT-alan tulevaisuuden arvoverkosta. Tutkimus sisälsi myös empiirisen osion, jossa järjestettiin kaksi ryhmäkeskustelua, joissa alan toimijat keskustelivat muodostetuista skenaarioista sekä yleisemmin Bluetoothin vaikutuksista arvoverkkoon. Tutkimuksen mukaan ICT-alan arvoverkko tulevaisuudessa on rakenteeltaan strateginen arvoverkko, jota johtaa eri toimija erilaisissa markkinatilanteissa. Verkon strateginen keskus voi muuttua ajan kuluessa kun Bluetoothin sovelluskohteet lisääntyvät ja se voi vaihdella markkina-alueesta toiseen. Bluetooth luo uuden kommunikaatiokanavan nykyisten rinnalle ja se voi paikallisesti korvata nykyisten kanavien käytön tiedon siirrossa. Bluetooth voi synnyttää lukuisia uusia liiketoimintamahdollisuuksia ja sen avulla voidaan tuottaa lisäarvopalveluita. Suurimpien muutosten voidaan olettaa koskevan teleoperaattoreiden ja sisällöntuottajien liiketoimintaa.

International Growth Strategies of Small and Medium-Sized Enterprises in Infocom Sector

Tutkimuksen päätavoite on selvitää infocom-toimialan pk-yritysten kansainväliset kasvustrategiat. Aluksi on tarkasteltu kasvua edesauttaneita ja hidastaneita tekijöitä, jotka muodostavat pohjan kansainvälisen kasvun suunnittelulle. Näiden pohjalta on aikaisemmin esitettyihin teoriamalleihin ja yritysten kansainvälistymisen asteeseen yhdistettynä määritelty infocom-toimialan pk-yrityksten kansainväliset kasvustrategiavaihtoehdot. Tutkimuksen tarkasteluun on vaikuttanut born global-ilmiö, jonka pääpiirre on nopea kansainvälistyminen yrityksen aikaisessa kehitysvaiheessa. Työn empiirisessä osassa on havainnollistettu teoriassa käsiteltyjä kansainväliseen kasvuun liittyviä tekijöitä. Empiirisessä osassa on käytetty sekä kvantitatiivisia että kvalitatiivisia menetelmiä. Kvantitatiivinen survey tutkimus on pohjautunut aineistoon, joka on kerätty vuosina 1999-2000 Telecom Business Research Centerissä Lappeenrannassa. Kvalitatiivisessa case-tutkimuksessa on haastateltu infocom-toimialan pk-yrityksiä. Nopeasti kehittyvän infocom-toimialan pk-yrityksille kansainvälistyminen on haaste ja tärkein menestyksen edellytys. Pk-yritysten kasvuresurssit ovat rajalliset, mutta lisääntyvän verkostoitumisen myötä on yritysten välisestä yhteistyöstä saavutettu etuja, jotka ovat mahdollistaneet kansainvälisen kasvun. Markkinoiden muutosnopeus on suuri ja siksi strategisen suunnittelun aikaväli lyhenee. Kansainvälisiä kasvustrategioita muodostettaessa yritykset joutuvat samanaikaisesti turvautumaan useampaan eri kasvustrategiaan, joiden yhdistelmänä yritysten merkittävimmäksi kasvustrategiaksi muodostuvat hybridit kasvustrategiat.

Adoption of an E-service Innovation and its Effects on Customer Service Processes in Forest Industry

Tämän tutkielman tavoitteena oli selvittää miten asiakkaille suunnattu Internet –pohjainen palvelu muuttaa asiakaspalvelua metsäteollisuudessa, ja mitkä tekijät vaikuttavat tällaisen palvelun omaksumiseen. Tutkimuksesta ilmenee että muutokset asiakaspalvelussa ovat olleet asiakkaiden mielestä pääasiassa positiivisia. Selvisi, että uuden sovelluksen laatuun ollaan tyytyväisiä, mutta että kaikki asiakkaat eivät pidä sen etuja huomattavina verrattuna vanhoihin toimintatapoihin. Esimerkkiyrityksen oma henkilöstö ei keskimäärin koe sovellusta kovin hyödylliseksi oman työnsä kannalta. Jotta sovelluksen käyttöä ja mahdollisia hyötyjä esimerkkiyritykselle saataisiin lisättyä, on sovellukseen tehtävien parannusten lisäksi panostettava tehokkaampaan kommunikointiin ja lisäkoulutukseen asiakkaille. Lisäksi on löydettävä keinoja, joiden avulla asiakkaat kokisivat sovelluksen käytön itselleen edullisemmaksi kuin pitäytymisen vanhoissa toimintatavoissa. Edellä mainitun saavuttaminen edellyttää esimerkkiyrityksen asiakaspalvelu-henkilöstön ja operatiivisen johdon sitoutumista sovelluksen aktiiviseen markkinointiin asiakkaiden suuntaan. Tutkimuksen aineisto kerättiin haastatteluilla ja asiakkaille suunnatulla kyselylomakkeella käyttäen pääasiassa kvalitatiivisia menetelmiä. Haastatteluja tehtiin kahdessa esimerkkiyrityksen yksikössä, kolmessa myyntikonttorissa sekä kahden asiakasyrityksen yhteensä neljässä eri yksikössä. Kyselylomake lähetettiin 215 asiakaskäyttäjälle, joista 30 palautti lomakkeen. Palautusprosentiksi tuli 14.

Brown algal phlorotannins: Improving and applying chemical methods

Phlorotannins are the least studied group of tannins and are found only in brown algae. Hitherto the roles of phlorotannins, e.g. in plant-herbivore interactions, have been studied by quantifying the total contents of the soluble phlorotannins with a variety of methods. Little attention has been given to either quantitative variation in cell-wall-bound and exuded phlorotannins or to qualitative variation in individual compounds. A quantification procedure was developed to measure the amount of cell-wall-bound phlorotannins. The quantification of soluble phlorotannins was adjusted for both large- and small-scale samples and used to estimate the amounts of exuded phlorotannins using bladder wrack (Fucus vesiculosus) as a model species. In addition, separation of individual soluble phlorotannins to produce a phlorotannin profile from the phenolic crude extract was achieved by high-performance liquid chromatography (HPLC). Along with these methodological studies, attention was focused on the factors in the procedure which generated variation in the yield of phlorotannins. The objective was to enhance the efficiency of the sample preparation procedure. To resolve the problem of rapid oxidation of phlorotannins in HPLC analyses, ascorbic acid was added to the extractant. The widely used colourimetric method was found to produce a variation in the yield that was dependent upon the pH and concentration of the sample. Using these developed, adjusted and modified methods, the phenotypic plasticity of phlorotannins was studied with respect to nutrient availability and herbivory. An increase in nutrients decreased the total amount of soluble phlorotannins but did not affect the cell-wall-bound phlorotannins, the exudation of phlorotannins or the phlorotannin profile achieved with HPLC. The presence of the snail Thedoxus fluviatilis on the thallus induced production of soluble phlorotannins, and grazing by the herbivorous isopod Idotea baltica increased the exudation of phlorotannins. To study whether the among-population variations in phlorotannin contents arise from the genetic divergence or from the plastic response of algae, or both, algae from separate populations were reared in a common garden. Genetic variation among local populations was found in both the phlorotannin profile and the content of total phlorotannins. Phlorotannins were also genetically variable within populations. This suggests that local algal populations have diverged in their contents of phlorotannins, and that they may respond to natural selection and evolve both quantitatively and qualitatively.

Families in the Shadow of Cancer

The aims of this study were 1) to clarify the factors associated with family functioning in cancer patient’s families with dependant children, 2) to examine children’ mental health when they are exposed to parental cancer, 3) to explore the subjective experience of having cancer during pregnancy, and finally, 4) to describe the implementation of a childcentred family intervention for cancer patients’ families with dependant children in an adult oncology setting. The study groups were collected between May 1st 2002 and April 30th 2004. They consisted of one European group collected from six different countries (N = 381) and two Finnish clinical groups (N = 85 and N = 2). The first Finnish clinical group of 85 cancer patient families with dependant children included a sub-sample of 54 families with children aged 11-17 years. The second Finnish clinical group consisted of two pregnant cancer patients. Additionally, a control group (N = 59) consisting of a sub-sample of 49 families with children aged 11-17 years was used. Quantitative methods (FAD, BDI, YSR, SOC, SF-8) and qualitative methods (observation, interviews, diaries, videotapes) were used exclusively and/or in combination. The results can be summarised as follows: 1) cancer “per se “ did not impair family functioning, children’s mental health, early interaction between ill mothers and their infant, 2) maternal depression or the ill parent’s depression were significantly associated with impairment in family functioning, 3) the individual’s good sense of coherence was associated with improvement in family functioning, and 4) a child-centred family intervention, which aims to give space for elaborating on cancer in the family, validates the sense of coherence and children’s feelings, and promotes open communication was welcomed. It is important to note that in the European study group, the prevalence of depression was 35 % (BDI > 16) among ill mothers, and 28% among healthy mothers, 28% among ill fathers, and 13% among healthy fathers. Early screening and effective treatment of depression in cancer patients and their partners is of paramount importance for the mental health of children and the well-being of the family. Pregnant cancer patients are in need of psychosocial support.

Challenges in Supplier-Buyer Relationships in Electronics Industry

This thesis examines the supplier-buyer relationships in the Finnish electronics industry. The aim of the study was to increase understanding on the challenges that suppliers face in their relationship with the buyer. The research was conducted using qualitative methods because they allow more perspective for the research problem than quantitative methods would have. Choosing qualitative method also affected the selection of a research technique. Analysis of secondary data from written documents was chosen to give more perspective to a broad problem. The main findings of this research are that the relationships between supplier and buyer in electronics industry are challenging because supplier must understand and face three types of challenges. The challenges are: understanding the environment, choosing and implementing correct strategy and managing relationships. For the supplier it is important to understand the environment so it can adjust own strategy to fit to the environment. The supplier should also be careful not to be too dependent on the buyer.