The advancement of innovations in communications industry: A case study of Russian Post company

The purpose of this study is to provide a project aimed on solving the problem of advancement of innovations for Russian Post company that is the main actor on the Russian postal service market. This project is constructed through gathering and scrutinizing two essential informational packages, with first being precise information about Russian Post business processes and structure in order to find out the weak spots and hindering forces, and the second being benchmarking analysis of product and service portfolio of company's peers in Europe and Australia in order to evaluate existing experience and gather additional sources that can facilitate the advancement of innovations. These informational packages are studied and sent through the matrix analysis that must highlight customer and technical requirements which emphasize the innovativeness and problem-solving purpose of the project and lay stress on the assuring characteristics that must to be met in order to advance the project. The project itself is aimed on providing Russian Post company with several solutions, both managerial and engineering, which are aimed on easing problem-solving processes and lay the foundation for continuous innovation and value increase for Russian Post company, its partners and its customers. Project's payback period is been calculated as well.

Visual Customer Segmentation and Data Exploration with the Self-Organizing Map

Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.

Strateginen materiaalihallinta

Tässä diplomityössä käydään läpi materiaalihallintaa strategisista näkökulmista, joihin kuuluvat strateginen suunnittelu ja johtaminen, hankintatoimi, materiaalihallinta ennustamisen ja varastoimisen kautta sekä yleinen toiminnan kehittäminen. Näiden osa-alueiden kokonaissummasta tulee käsite strateginen materiaalihallinta, jonka avulla tässä työssä yritetään ratkaista tutkimuskohteena olevan yrityksen materiaalihallinnan haasteita. Strateginen materiaalihallinnan suunnittelu pitää aloittaa hahmottamalla oma ympäristö, esimerkiksi portfolioanalyysiä ja Ishikawan kalanruotokaaviota hyväksikäyttäen. Tämän jälkeen omat materiaalihallinnan kyvykkyydet voidaan analysoida, esimerkiksi SWOT-analyysin avulla, jolla pystytään kartoittamaan omat vahvuudet ja heikkoudet, sekä uhat että mahdollisuudet. Vasta kun ympäristö ja omat kyvykkyydet ovat analysoitu, voidaan asettaa päämäärät ja tavoitteet, joilla pyritään tukemaan kyseistä liiketoimintaa strategisen materiaalihallinnan avulla. Näiden tavoitteiden ja päämäärien saavuttamista on tärkeää myös seurata ja mitata. Strategista materiaalihallintaa voidaan optimoida eri tavoin, esimerkiksi erilaisilla hankinta-, varastointi, ja ennustemalleilla. Myös ABC-analyysin avulla voidaan ohjata eri ABC-luokkien materiaalihallintaa. Strateginen materiaalihallinta pyrkii siis tukemaan strategisesti liiketoimintojen päämääriä ja samalla vastaamaan asiakaskysyntään määritetyllä toimituskyvyllä minimi kokonaiskustannuksin.

Review of investment strategy, portfolio management, and scorecard based portfolio selection tool for direct property investments in Finland

The lack of research of private real estate is a well-known problem. Earlier studies have mostly concentrated on the USA or the UK. Therefore, this master thesis offers more information about the performance and risk associated with private real estate investments in Nordic countries, but especially in Finland. The structure of this master thesis is divided into two independent sections based on the research questions. In first section, database analysis is performed to assess risk-return ratio of direct real estate investment for Nordic countries. Risk-return ratios are also assessed for different property sectors and economic regions. Finally, review of diversification strategies based on property sectors and economic regions is performed. However, standard deviation itself is not usually sufficient method to evaluate riskiness of private real estate. There is demand for more explicit assessment of property risk. One solution is property risk scoring. In second section risk scorecard based tool is built to make different real estate comparable in terms of risk. In order to do this, nine real estate professionals were interviewed to enhance the structure of theory-based risk scorecard and to assess weights for different risk factors.

Customer Knowledge Transfer in MNCs

The purpose of this Master’s thesis was to study customer knowledge transfer processes in multinational corporations (MNCs). The main objective was to examine how customer knowledge is transferred in MNCs and what kind of factors enhance or inhibit the knowledge transfer process, and to create a framework on the basis of the existing literature and the empirical findings. In this thesis the factors were organized according to whether they are properties of the unit involved in knowledge management, properties of relationships between the units or properties of the knowledge itself. There are various properties that influence knowledge transfer but in this thesis the focus was on examining the relevant findings from the customer knowledge viewpoint. Empirical results show that internal fragmentation in the MNC seems to be inherent in this type of organization, and may cause many problems in customer knowledge transfer and utilization. These knowledge transfer inhibitors rise from the organization’s properties: it’s absorptive capacity, motivation, organizational culture, and the two dimensions of knowledge. However, in spite of the inherent forces causing internal fragmentation and inhibiting knowledge transfer, moderate customer knowledge and expertise codification, cooperative working practices among the experts, and socialization mechanisms posed by the headquarters seem to help maintain customer knowledge transfer, and value creation in the long-term relationship. This value creation can be seen to be based on accessing and integrating a wide variety of knowledge resources in order to create a coherent product and service offering.

A performance analysis of conventional and fundamental exchange traded funds: ETFs and their risk-return characteristics in relation to building institutional investor’s passive portfolio

An exchange traded fund (ETF) is a financial instrument that tracks some predetermined index. Since their initial establishment in 1993, ETFs have grown in importance in the field of passive investing. The main reason for the growth of the ETF industry is that ETFs combine benefits of stock investing and mutual fund investing. Although ETFs resemble mutual funds in many ways, also many differences occur. In addition, ETFs not only differ from mutual funds but also differ among each other. ETFs can be divided into two categories, i.e. market capitalisation ETFs and fundamental (or strategic) ETFs, and further into subcategories depending on their fundament basis. ETFs are a useful tool for diversification especially for a long-term investor. Although the economic importance of ETFs has risen drastically during the past 25 years, the differences and risk-return characteristics of fundamental ETFs have yet been rather unstudied area. In effect, no previous research on market capitalisation and fundamental ETFs was found during the research process. For its part, this thesis seeks to fill this research gap. The studied data consist of 50 market capitalisation ETFs and 50 fundamental ETFs. The fundaments, on which the indices that the fundamental ETFs track, were not limited nor segregated into subsections. The two types of ETFs were studied at an aggregate level as two different research groups. The dataset ranges from June 2006 to December 2014 with 103 monthly observations. The data was gathered using Bloomberg Terminal. The analysis was conducted as an econometric performance analysis. In addition to other econometric measures, the methods that were used in the performance analysis included modified Value-at-Risk, modified Sharpe ratio and Treynor ratio. The results supported the hypothesis that passive market capitalisation ETFs outperform active fundamental ETFs in terms of risk-adjusted returns, though the difference is rather small. Nevertheless, when taking into account the higher overall trading costs of the fundamental ETFs, the underperformance gap widens. According to the research results, market capitalisation ETFs are a recommendable diversification instrument for a long-term investor. In addition to better risk-adjusted returns, passive ETFs are more transparent and the bases of their underlying indices are simpler than those of fundamental ETFs. ETFs are still a young financial innovation and hence data is scarcely available. On future research, it would be valuable to research the differences in risk-adjusted returns also between the subsections of fundamental ETFs.

CRM system implementation supporting the management of customer relationships

The purpose of this thesis is to examine customer relationship management in a large, global organization. The aim is to deepen the understanding on how CRM-system implementation can support customer relationship management in strategic, operational and analytical levels.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.

Customer Value Creation in Born Global Companies

The purpose of this master's thesis is to study customer value creation in born global companies. The main objective is to identify the types of value enabling customer value creation in born global companies, and to establish their relative importance. After an introduction to the born global academic literature and the customer value creation literature, the empirical part consists of a multiple case study, examining the state of customer value creation in the case companies, along with the subsequent analysis. The results of this research indicate that high-tech born global companies perceive customer value creation as a crucial function of their operations, but their value creation thinking is often one-dimensional. Technology based born globals often place high value on the product and the technology behind it, mainly striving to incorporate performance- and relationship value in their value offerings, but they're unable to utilize their opportunity creation to the fullest, and they lag behind their more established competitors that are able to diversify their value offerings.

Customer Discovery and Customer Validation in Lean Software Startups

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

Customer Discovery and Customer Validation in Lean Software Startups

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

Life-related negative customer emotions in real estate agent encounters

The goal of this study was to explore how do customers’ life-related negative emotions affect real estate business. This was divided into two research questions: 1. What life-related negative emotions can be recognised in real estate customer encounters? 2. How do the recognised emotions affect customer encounters and the realtor’s work? 3. How can the realtor take the emotions into account in customer service? The theoretical background consists of two main lines of study: emotions and customer encounters. A wide literary review on emotions research was conducted from a cognitive psychology point of view, focusing on negative emotions. Emotions research was then combined into the field of customer encounters. Qualitative study was chosen as the methodological basis of the study. Empirical material of this study was collected through in-depth interviews with 13 successful Finnish real estate agents. Narrative research was used as a method for the study. Four life-related emotion categories were recognized in real estate customer encounters: sadness, anger, anxiety and shame. These emotions rose from issues varying from death of a close one to divorce and from major changes in life stages to deep emotional attachment to an old home. The study also found that these incidental negative emotions do affect customer encounters and realtors’ work. The emotions affected the decision making of customers and sometimes overshadowed reason. Some emotions made the customer passive and slow to make any decisions, while others made their decision making fast and hasty. Even though the incidental emotions might not have had anything to do with the real estate deal, they could affect the outcome of the customer encounter and the whole real estate deal. Interestingly enough, the study found that not all successful real estate agents knowingly serve customers in an emotional level. The study does, however, suggest that in fact it may be an ethical decision of the customer server to take into account the emotional state of the customer. Attending to the emotional side of customers does not only increase pleasantness of the customer encounter, but may improve and balance customer decision making and prevent hasty decisions possibly leading to improved customer satisfaction. This study also gave practical managerial implications to customer service providers on how negative incidental emotions can be attended to in a customer encounter. This study could be useful not only to real estate agents, but also in other types of customer service, especially with vulnerable populations or other types of home-related business.

Understanding the portfolio in the secondary school classroom

Four secondary school teachers were involved in this case study. Individual interviews, group reflective sessions, and participant portfolios were transcribed verbatim and analyzed. The use of the portfolio in the secondary school classroom was then discussed in relation to emergent themes. These themes included teacher attitude, portfolio structure, portfolio purpose, challenges, effect, and professional development. Teachers were able to individualize the portfolio structure to meet both program and students' needs. The portfolio structure enabled both teachers and students to assume control over the learning process. The portfolio informed teachers about their teaching. This, in tum, challenged them to reflect on their teaching practices and enabled them to redesign curriculum implementation. A collaborative professional development structure fostered a learning environment that enabled teachers to experience success, despite the challenges that they inevitably encountered. These findings were related to contemporary literature. Finally, implications for theory and practice related to portfolio use in the secondary school classroom and professional development for secondary school teachers were considered.

When job dissatisfaction leads to customer-oriented citizenship behaviors

This thesis places boundary conditions on the withdrawal model in the frontline setting of service organizations by considering continuance commitment and supervisory support as moderators of the relationship between job dissatisfaction and customer-oriented citizenship behaviors (COCBs). Departing from traditional research in the areas of the service-profit chain and employee withdrawal, the author advances our understanding of conditions that may lead frontline service employees who are dissatisfied to deposit COCBs into the organizational system. Specifically, based on principles derived from social exchange theory, high continuance commitment and high supervisory support are expected to lead to COCBs, because under this condition the benefits of performing such behaviors are increased (i.e., promotion-based, reciprocity-based), while the costs are decreased (i.e., opportunity costs). Utilizing a sample of 127 frontline employees from both the financial services and travel agency industries, the hypothesized relationships are empirically supported using moderated hierarchical regression analysis. To conclude discussion, implications of the results for both academics and p