Purchasing portfolio analysis and supplier classification

The purpose of the thesis is to classify suppliers and to enhance strategic purchasing in the case company. Supplier classification is conducted to fulfill the requirements of the company quality manual and international quality standards. To gain more benefit, a strategic purchasing tool, Kraljic’s purchasing portfolio and analytical hierarchy process are utilized for the base of supplier classification. Purchasing portfolio is used to give quick and easy visual insight on product group management form the viewpoint of purchasing. From the base on purchasing portfolio alternative purchasing and supplier strategies can be formed that enhance the strategic orientation of purchasing. Thus purchasing portfolio forces the company to orient on proactive and strategic purchasing. As a result a survey method for implementing purchasing portfolio in the company is developed that exploits analytical hierarchy process. Experts from the company appoint the categorization criteria and in addition, participate in the survey to categorize product groups on the portfolio. Alternative purchasing strategies are formed. Suppliers are classified depending on the importance and characteristics of the product groups supplied.

Support vector machines in spectral data classification

Työssä käydään läpi tukivektorikoneiden teoreettista pohjaa sekä tutkitaan eri parametrien vaikutusta spektridatan luokitteluun.

Service offering classification for logistics services

This thesis studies the development of service offering model that creates added-value for customers in the field of logistics services. The study focusses on offering classification and structures of model. The purpose of model is to provide value-added solutions for customers and enable superior service experience. The aim of thesis is to define what customers expect from logistics solution provider and what value customers appreciate so greatly that they could invest in value-added services. Value propositions, costs structures of offerings and appropriate pricing methods are studied. First, literature review of creating solution business model and customer value is conducted. Customer value is found out with customer interviews and qualitative empiric data is used. To exploit expertise knowledge of logistics, innovation workshop tool is utilized. Customers and experts are involved in the design process of model. As a result of thesis, three-level value-added service offering model is created based on empiric and theoretical data. Offerings with value propositions are proposed and the level of model reflects the deepness of customer-provider relationship and the amount of added value. Performance efficiency improvements and cost savings create the most added value for customers. Value-based pricing methods, such as performance-based models are suggested to apply. Results indicate the interest of benefitting networks and partnership in field of logistics services. Networks development is proposed to be investigated further.

Differential evolution based classification with pool of distances and aggregation operators

The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of distances is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, to determine the optimal values for all free parameters of the classifier model during the training phase of the classifier. The differential evolution classifier applies the individually optimized distance measure for each new data set to be classified is generalized to cover a pool of distances. Instead of optimizing a single distance measure for the given data set, the selection of the optimal distance measure from a predefined pool of alternative measures is attempted systematically and automatically. Furthermore, instead of only selecting the optimal distance measure from a set of alternatives, an attempt is made to optimize the values of the possible control parameters related with the selected distance measure. Specifically, a pool of alternative distance measures is first created and then the differential evolution algorithm is applied to select the optimal distance measure that yields the highest classification accuracy with the current data. After determining the optimal distance measures for the given data set together with their optimal parameters, all determined distance measures are aggregated to form a single total distance measure. The total distance measure is applied to the final classification decisions. The actual classification process is still based on the nearest prototype vector principle; a sample belongs to the class represented by the nearest prototype vector when measured with the optimized total distance measure. During the training process the differential evolution algorithm determines the optimal class vectors, selects optimal distance metrics, and determines the optimal values for the free parameters of each selected distance measure. The results obtained with the above method confirm that the choice of distance measure is one of the most crucial factors for obtaining higher classification accuracy. The results also demonstrate that it is possible to build a classifier that is able to select the optimal distance measure for the given data set automatically and systematically. After finding optimal distance measures together with optimal parameters from the particular distance measure results are then aggregated to form a total distance, which will be used to form the deviation between the class vectors and samples and thus classify the samples. This thesis also discusses two types of aggregation operators, namely, ordered weighted averaging (OWA) based multi-distances and generalized ordered weighted averaging (GOWA). These aggregation operators were applied in this work to the aggregation of the normalized distance values. The results demonstrate that a proper combination of aggregation operator and weight generation scheme play an important role in obtaining good classification accuracy. The main outcomes of the work are the six new generalized versions of previous method called differential evolution classifier. All these DE classifier demonstrated good results in the classification tasks.

Aircraft tracking and classification with vhf passive bistatic radar

Since the times preceding the Second World War the subject of aircraft tracking has been a core interest to both military and non-military aviation. During subsequent years both technology and configuration of the radars allowed the users to deploy it in numerous fields, such as over-the-horizon radar, ballistic missile early warning systems or forward scatter fences. The latter one was arranged in a bistatic configuration. The bistatic radar has continuously re-emerged over the last eighty years for its intriguing capabilities and challenging configuration and formulation. The bistatic radar arrangement is used as the basis of all the analyzes presented in this work. The aircraft tracking method of VHF Doppler-only information, developed in the first part of this study, is solely based on Doppler frequency readings in relation to time instances of their appearance. The corresponding inverse problem is solved by utilising a multistatic radar scenario with two receivers and one transmitter and using their frequency readings as a base for aircraft trajectory estimation. The quality of the resulting trajectory is then compared with ground-truth information based on ADS-B data. The second part of the study deals with the developement of a method for instantaneous Doppler curve extraction from within a VHF time-frequency representation of the transmitted signal, with a three receivers and one transmitter configuration, based on a priori knowledge of the probability density function of the first order derivative of the Doppler shift, and on a system of blocks for identifying, classifying and predicting the Doppler signal. The extraction capabilities of this set-up are tested with a recorded TV signal and simulated synthetic spectrograms. Further analyzes are devoted to more comprehensive testing of the capabilities of the extraction method. Besides testing the method, the classification of aircraft is performed on the extracted Bistatic Radar Cross Section profiles and the correlation between them for different types of aircraft. In order to properly estimate the profiles, the ADS-B aircraft location information is adjusted based on extracted Doppler frequency and then used for Bistatic Radar Cross Section estimation. The classification is based on seven types of aircraft grouped by their size into three classes.

Towards a contextual understanding of B2B salespeople's selling competencies – An exploratory study among purchasing decision-makers of internationally-oriented technology firms

ABSTRACT Towards a contextual understanding of B2B salespeople’s selling competencies − an exploratory study among purchasing decision-makers of internationally-oriented technology firms The characteristics of modern selling can be classified as follows: customer retention and loyalty targets, database and knowledge management, customer relationship management, marketing activities, problem solving and system selling, and satisfying needs and creating value. For salespeople to be successful in this environment, they need a wide range of competencies. Salespeople’s selling skills are well documented in seller side literature through quantitative methods, but the knowledge, skills and competencies from the buyer’s perspective are under-researched. The existing research on selling competencies should be broadened and updated through a qualitative research perspective due to the dynamic nature and the contextual dependence of selling competencies. The purpose of the study is to increase understanding of the professional salesperson’s selling competencies from the industrial purchasing decision- makers’ viewpoint within the relationship selling context. In this study, competencies are defined as sales-related knowledge and skills. The scope of the study includes goods, materials and services managed by a company’s purchasing function and used by an organization on a daily basis. The abductive approach and ‘systematic combining’ have been applied as a research strategy. In this research, data were generated through semi- structured, person-to-person interviews and open-ended questions. The study was conducted among purchasing decision-makers in the technology industry in Finland. The branches consisted of the electronics and electro-technical industries and the mechanical engineering and metals industries. A total of 30 companies and one purchasing decision-maker from each company were purposively chosen for the sampling. The sample covers different company sizes based on their revenues, their differing structures – varying from public to family companies –that represent domestic and international ownerships. Before analyzing the data, they were organized by the purchasing orientations of the buyers: the buying, procurement or supply management orientation. Thematic analysis was chosen as the analysis method. After analyzing the data, the results were contrasted with the theory. There was a continuous interaction between the empirical data and the theory. Based on the findings, a total of 19 major knowledge and skills were identified from the buyers’ perspective. The specific knowledge and skills from the viewpoint of customers’ prevalent purchasing orientations were divided into two categories, generic and contextual. The generic knowledge and skills apply to all purchasing orientations, and the contextual knowledge and skills depend on customers’ prevalent purchasing orientations. Generic knowledge and skills relate to price setting, negotiation, communication and interaction skills, while contextual ones relate to knowledge brokering, ability to present solutions and relationship skills. Buying-oriented buyers value salespeople who are ‘action oriented experts, however at a bit of an arm’s length’, procurement buyers value salespeople who are ‘experts deeply dedicated to the customer and fostering the relationship’ and supply management buyers value salespeople who are ‘corporate-oriented experts’. In addition, the buyer’s perceptions on knowledge and selling skills differ from the seller’s ones. The buyer side emphasizes managing the subject matter, consisting of the expertise, understanding the customers’ business and needs, creating a customized solution and creating value, reliability and an ability to build long-term relationships, while the seller side emphasizes communica- tion, interaction and salesmanship skills. The study integrates the selling skills of the current three-component model− technical knowledge, salesmanship skills, interpersonal skills− and relationship skills and purchasing orientations, into a selling competency model. The findings deepen and update the content of these knowledges and skills in the B2B setting and create new insights into them from the buyer’s perspective, and thus the study increases contextual understanding of selling competencies. It generates new knowledge of the salesperson’s competencies for the relationship selling and personal selling and sales management literature. It also adds knowledge of the buying orientations to the buying behavior literature. The findings challenge sales management to perceive salespeople’s selling skills both from a contingency and competence perspective. The study has several managerial implications: it increases understanding of what the critical selling knowledge and skills from the buyer’s point of view are, understanding of how salespeople effectively implement the relationship marketing concept, sales management’s knowledge of how to manage the sales process more effectively and efficiently, and the knowledge of how sales management should develop a salesperson’s selling competencies when managing and developing the sales force. Keywords: selling competencies, knowledge, selling skills, relationship skills, purchasing orientations, B2B selling, abductive approach, technology firms

Co-operative acquisitions – the contextual factors and challenges for co-operatives when acquiring an investorowned firm

Mergers and acquisitions (M&As) have been seen as an important strategy in helping organizations to grow, gain access to new markets and resources, increase efficiency, and enable competitiveness in order to fulfil the purpose of the organization. These aspects have made M&As of central interest to academic literature. In co-operative studies mergers especially have been widely studied. The common focus of these studies is that M&As have taken place between organizations of the same form. It is noteworthy that there is a scarcity of literature concerning acquisitions between different organizational types. Moreover, M&As have not been evaluated concerning the organization’s ownership and purpose, which may be significant integration factors. The overall objective of this study is to describe and understand why co-operative organizations use acquisition as a strategic alternative. In more detail – and in order to develop understanding of the background ideals affecting the acquisition decision and the differences of organization ideals in the integration process – this study is based on a qualitative case study approach. By combining interview data gathered from the OPPohjola Group and associating the observations from various streams of research on acquisitions and management with the purpose of co-operation, and examining these issues further, the thesis contributes to the elaboration of theory in the field of the strategic management of co-operatives. The dissertation consists of two parts. The first part introduces the research topic, methods and publications, as well as discussing the overall outcomes. The second part consists of four publications that address the research questions from different viewpoints. The analyses of this dissertation indicate that, from the strategic point of view, the acquisition of an investor-owned firm by a co-operative organization may create competitive advantage for the co-operative. On the other hand, there are differences in and following from the purpose of acquirer and the acquiree that may, in such case, pose several challenges to the integration process.

Institutional environment in North Korea: market structure and overcoming institutional voids

Tutkimus sai innoituksensa, kun tutkija huomasi tarpeen liiketaloudelliselle, ajantasaiselle ja realistiselle tutkimukselle Pohjois-Korean markkinoista, joka kuvailisi markkinoiden olemassaolevia ja puuttuvia rakenteita sekä tutkisi mahdollisuuksia ylittää puuttuvat rakenteet. Institutionaalinen teoria valittiin sopivaksi viitekehykseksi kuvailla ja tutkia markkinarakennetta. Tutkimuskysymys muotoiltiin seuraavasti: “Miten ulkomaiset yritykset voivat reagoida puuttuviin markkinarakenteisiin Pohjois-Koreassa?”. Tutkimuskysymys jaettiin kolmeen osakysymykseen: (1) Millainen on Pohjois-Korean markkinoiden institutionaalinen ympäristö? (2) Mitkä ovat merkittävimmät puuttuvat markkinarakenteet Pohjois-Koreassa? (3) Mitä mahdollisuuksia ulkomaisilla yrityksillä voisi olla reagoida puuttuviin markkinarakenteisiin? Tutkimus toteutettiin kvalitatiivisena, koska tutkimuskysymys on deskriptiivinen. Aineisto kerättiin asiantuntijahaastattelun ja kvalitatiivisen sisällönanalyysin keinoin. Primääriaineiston muodostavat 2 asiantuntijahaastattelua ja sekundääriaineiston muodostavat 95 artikkelia, jotka kerättiin 40 lähteestä. Aineisto analysoitiin kvalitatiivisen sisällönanalyysin keinoin. Aineisto koodattiin, luokiteltiin ja esitettiin kokonaisuuksina luokittelurungon avulla, joka laadittiin tutkimusta varten muodostetun teoreettisen viitekehyksen mukaan. Tulokset ja johtopäätökset voidaan tiivistää seuraavasti. (1) Pohjois-Korean markkinan instituutioihin vaikuttaa kaksoisrakenne, jossa muodollinen, sosialistinen rakenne ja epämuodollinen, markkinalähtöinen rakenne toimivat päällekkäin. (2) Puuttuvia rakenteita on sekä markkinan kontekstissa että markkinatasolla. Puutteet ovat osittain seurausta vanhojen rakenteiden korvaantumisesta uusilla, jotka eivät ole institutionalisoituneet. (3) Yritykset voivat käyttää samoja mahdollisuuuksia reagoida puuttuviin markkinarakenteisiin Pohjois-Koreassa, joita kehittyvien markkinoiden yhteydessä on esitetty. Sen tulkittiin vähentävän käsitystä, jonka mukaan Pohjois-Korean markkina on liian erikoinen yritystoiminnalle. (4) Kasvava keskiluokka sekä yrittäjyyden ja naisten yhä merkittävämpi rooli liike-elämässä aiheuttavat alhaalta ylöspäin suuntautuvaa kehitystä markkinoilla. Nämä ovat merkkejä viimeaikaisesta kehityksestä, jotka eivät ole saaneet laajaa huomiota länsimaisessa mediassa. Se korostaa tarvetta liiketaloudelliselle, ajantasaiselle jatkotutkimukselle Pohjois-Korean markkinoista.

Institutional environment in North Korea: market structure and overcoming institutional voids

The research was sparked by an exchange in South Korea, as the author identified a gap in research that provides economic, up to date and realistic information about the North Korean market in English language. A need for a research was identified that would describe the market’s existing and missing market structures and explore possibilities to overcome the missing market structures. Institutional theory was chosen as a suitable framework to describe and explore the market. The research question was formulated as follows: “How can foreign companies overcome institutional voids in the North Korean market?”. To answer the research question, it was divided into three sub-questions as follows: (1) What is the institutional environment in North Korea like? (2) What are the major institutional voids in the North Korean market? (3) What possibilities do foreign companies have to overcome institutional voids? The research is qualitative by nature due to the descriptive and exploratory nature of the research question. Data collection consisted of expert interview and content analysis, resulting in primary data of two interviews and secondary data of 95 articles from 40 different sources. The data was analyzed with the systematical technique of content analysis. The data was coded, classified and presented as concepts with the help of a classification system that was build following the theoretical framework adapted for this study. The findings can be summarized as follows. (1) The market institutions are characterized by an overlapping dual system of formal, socialist structures and informal, market-oriented structures. (2) Institutional voids prevail on both the market’s contextual and on the market level. They are partly result of old institutions being replaced by new institutions that lack institutionalization. (3) Identified possibilities to overcome institutional voids correspond with possibilities drawn from previous research. This decreases the image of North Korea as an impossibly unique market to operate in. (4) Emerging middle class, rapidly growing entrepreneurial activities and women’s increasing role in business drive a down-to-up change in the market. This signals the recent development of the market, yet has been overlooked in the Western media. Thus there is a need for further economic, up to date research concerning North Korea.