Cooperative strategy in emerging markets - analysis of interfirm r&d cooperation and performance in Russian manufacturing companies

Emerging markets have come to play a significant role in the world, not only due to their strong economic growth but because they have been able to foster an increasing number of innovative high technology oriented firms. However, as the markets continue to change and develop, there remain many companies in emerging markets that struggle with their competitiveness and innovativeness. To improve competitive capabilities, many scholars have come to favor interfirm cooperation, which is perceived to help companies access new knowledge and complementary resources and, by so doing, enables them to catch up quickly with Western competitors. Regardless of numerous attempts by strategic management scholars, the research field remains very fragmented and lacks understanding on how and when interfirm cooperation contributes to firm performance and competiveness in emerging markets. Furthermore, the reasons why interfirm R&D sometimes succeeds but fails at other times frequently remain unidentified. This thesis combines the extant literature on competitive and cooperative strategy, dynamic capabilities, and R&D cooperation while studying interfirm R&D relationships in and between Russian manufacturing companies. Employing primary survey data, the thesis presents numerous novel findings regarding the effect of R&D cooperation and different types of R&D partner on firms’ exploration and exploitation performance. Utilizing a competitive strategy framework enables these effects to be explained in more detail, and especially why interfirm cooperation, regardless of its potential, has had a modest effect on the general competitiveness of emerging market firms. This thesis contributes especially to the strategic management literature and presents a more holistic perspective on the usefulness of cooperative strategy in emerging markets. It provides a framework through which it is possible to assess the potential impacts of different R&D cooperation partners and to clarify the causal relationships between cooperation, performance, and long term competitiveness.

Palvelun hankinnan prosessi ja laatu. Case: Espoon kaupungin koulukuljetukset

Palvelujen hankinta on yhä kiinteämmin osa yritysten liiketoimintaa, kun kiristyvässä kilpailussa yritykset pyrkivät siirtämään keskittymistään enenevissä määrin ydintoimintojensa tuottamiseen. Yleisiä ohjeistuksia palveluiden laadun kehittämisestä ja hankintaprosessin läpiviennistä on olemassa runsaasti, mutta palveluihin keskittyvän hankinnan kokonaisvaltaista kuvausta on tutkimuskentästä vaikea löytää. Tämän tutkimuksen tavoitteena on tutkia palvelun hankinnan prosessia ja laatua, sekä paikata olemassa olevaa tutkimusaukkoa tunnistaen hankintaprosessista lopputuloksen laadun kannalta kriittisiä elementtejä. Tutkimusaihetta lähestytään tarkastelemalla ensin olemassa olevaa tutkimusta palvelujen hankintaprosessista ja laadusta. Lisäksi tutkimusta varten on haastateltu hankinta-asiantuntijoita, sekä suoritettu case-tutkimus Espoon kaupungin koulukuljetusten hankinnasta, jossa hyödynnetään QFD-matriisianalyysiä kriittisten tekijöiden tunnistamiseksi. Lopputuloksena tutkimus esittää hankintaprosessiin perustuvan listan niistä laadukkaan lopputuloksen kannalta kriittisistä tekijöistä, joihin keskittymällä palveluhankinnan laatua on mahdollista parantaa. Keskeisimpinä tekijöinä tuloksissa esiin nousevat hankintatiimin kokoaminen, yrityksen tahtotilan tunnistaminen, palvelusisällön ja sen tavoitteiden ymmärtäminen, sanktiomallien hyödyntäminen, sekä yhteistyön vaaliminen hankinnan suunnittelussa ja sopimusseurannassa.

Green supplier selection via Multiple Criteria Data Envelopment Analysis

An appropriate supplier selection and its profound effects on increasing the competitive advantage of companies has been widely discussed in supply chain management (SCM) literature. By raising environmental awareness among companies and industries they attach more importance to sustainable and green activities in selection procedures of raw material providers. The current thesis benefits from data envelopment analysis (DEA) technique to evaluate the relative efficiency of suppliers in the presence of carbon dioxide (CO2) emission for green supplier selection. We incorporate the pollution of suppliers as an undesirable output into DEA. However, to do so, two conventional DEA model problems arise: the lack of the discrimination power among decision making units (DMUs) and flexibility of the inputs and outputs weights. To overcome these limitations, we use multiple criteria DEA (MCDEA) as one alternative. By applying MCDEA the number of suppliers which are identified as efficient will be decreased and will lead to a better ranking and selection of the suppliers. Besides, in order to compare the performance of the suppliers with an ideal supplier, a “virtual” best practice supplier is introduced. The presence of the ideal virtual supplier will also increase the discrimination power of the model for a better ranking of the suppliers. Therefore, a new MCDEA model is proposed to simultaneously handle undesirable outputs and virtual DMU. The developed model is applied for green supplier selection problem. A numerical example illustrates the applicability of the proposed model.

Linking supplier delivery risk to outbound delivery service performance improvement

Customer satisfaction should be the main focus for all of the parts of the business. Usually supply chain behind the business is in a key role when this focus is pursued especially in repair service business. When focusing on the materials that are needed to make repairs to equipment under service contracts, the time aspect of quality is critical. Do late deliveries from supplier have an effect on the service performance of repairs when distribution center of a centralized purchasing unit is acting as a buffer between suppliers and repair service business? And if so, how should the improvement efforts be prioritized? These are the two main questions that this thesis focuses on. Correlation and linear regression was tested between service levels of supplier and distribution center. Percentage of on-time deliveries were compared to outbound delivery service level. It was found that there is statistically significant correlation between inbound and outbound operations success. The other main question of the thesis, improvement prioritization, was answered by creating material availability based supplier classification and additional to that, by developing the decision process for the analysis of most critical suppliers. This was built on a basis of previous supplier and material classification methods.

Commitment in Finnish–Japanese strategic alliances

Finnish companies have usually formed a strategic alliance as entry mode when entering the Japanese market. However, these strategic alliances have not been studied in a general level and it remains unknown, what kind cooperation the Finnish companies are operating with their Japanese partners. Especially Finnish companies that aims to penetrate the Japanese market are eager to know more about this. The recent studies on topic have focused on a single industry or company and that is why more general level study was needed. The purpose of this study is to analyze types of Finnish–Japanese strategic alliances from the Finnish point of view. The analysis is conducted by answering the questions what strategic alliance types appear in the strategic alliances between Japanese and Finnish companies, and how commitment affects strategic alliance type. This study also examines how committed Finnish–Japanese strategic alliances are. In this study multiple case study was selected as research method. The data is collected by interviewing six representative of Finnish companies in Japan individually. Multiple case study was chosen for this study, because this study is interested in the topic in general level and this research method is suitable for this kind of research. From the interviews common attributes were pointed out and from them the big picture of the topic was created. Types of strategic alliances were determined by using previous literature on that topic. Two different types of strategic alliance were discovered: supplier alliance which is the most common one and learning alliance. The commitment of strategic alliance was measured visually by utilizing a figure that was modified for this study.The figure is originally based on earlier studies on strategic alliance types and their connection to ownership and commitment. By utilizing the figure it was noticed that commitment affects strategic alliance types: the more there is commitment involved, the more there is cooperation. Finnish–Japanese strategic alliances are not very committed despite they have existed for a long time. However, there is potential to be more committed. That is why Finnish companies should increase the commitment and attract the partners to develop the strategic alliances, because it would possible increase competitive advantage. This would be beneficial to all members within the strategic alliance.

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

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