Leadership in the mobile smartphone market

The mobile telecommunications industry has been going through an enormous revolution, especially after mid-1990 when smartphones were introduced to the market. As a consequence, the smartphone market’s dynamism is requesting companies to operate differently in the way they do business. After a long period occupying the leader position in the smartphones manufacturers’ rank, Nokia was outperformed by Apple and Samsung during 2011 and since then has been on the third place. Nevertheless, Nokia is battling for regaining the leadership in such a competitive and high-velocity growing market and that is what this research is about. This research covers the competitive and strategic forces that shape dynamic industries whereas the main purpose is to elucidate the main factors that contribute to a company’s above-average performance and ultimately determine its leadership in the mobile smartphone market. Therefore, this exploratory qualitative research was conducted as a desk research, which utilized various secondary sources of data in the knowledge area of strategic management such as theories about competitive advantages and dynamic capabilities of firms, innovation, and strategy. This research is enriched with a case study about Nokia: how the company has been organizing its corporate structure to support the strategies and hence how it has been competing in the smartphone market is analyzed, taking into account many contemporary data sources, including market analysts’ and business experts’ opinions. As a result of the classic literature exploration and the case study assay, a framework for deeper analysis of the competitiveness of firms in dynamic markets was developed. The conclusion that emerged from this research is that the success of a firm results from the interplay of various factors. To regain the leader position in the mobile smartphone market is a challenging task that requires Nokia to reinvent its core strategy for taking charge of the smartphones’ industry transformation through for example the adoption of the open innovation concept. It is imperative that Nokia designs and implement a breakthrough strategy as well as embraces the uncertainty of the smartphone market competition as an opportunity for discontinuous innovation development with the ultimate goal of recovering the leadership.

The Evolution of Securities Lending and Risk Mitigation: A Finnish Market Case Study

Although securities lending is an important function of the financial markets, it has not received that much academic attention. This study examines the evolution of European securities lending and risk management with an emphasis on the development of collateral management, the function responsible for reducing credit risk. The effects of the recent financial instabilities are also considered. The evolution of the Finnish securities lending market is examined in more detail through a case-study. This study can be classified as a constructive qualitative case study. The initial practical knowledge comes from the author's own experience and additional insight and theoretical background is acquired through a literature review. The case study is based on research, semi-structured interviews and a brief analysis of numerical data. The main observation of this study was that securities lending is now recognized as more of an investment management discipline than an operational support function. The recent financial instabilities have resulted in an increased focus on risk and transparency. In securities lending this is directly reflected in collateral management guidelines and procedures. Collateral management has become increasingly technologically developed and automated. Collateral optimization initiatives have been started to make the process more efficient, liquid, and cost effective. Although securities lending is generally an OTC-market with no standard market place, centralized exchange-like models have been introduced. Finnish securities lending has now shifted towards the more common global OTC model. Although the Finnish securities lending industry has developed, and the main laws governing it (tax legislation) have changed, there is still need for development. There are still not many Finnish participants involved and due to legal issues most securities loans are collateralized with cash and not securities (e.g. government bonds).

ESTABLISH & DEPLOY DOWNSTREAM MARKETING CAPABILITIES: a case study research following the framework implementation journey

According to many academic researches, the development of marketing capabilities can enhance organizational performance. Similarly, downstream marketing capabilities have an important role in accomplishment the organizational goals. Particularly the downstream marketing capabilities identified in this research are the Marketing Communication, Selling, Marketing implementation, and Market information management. These four capabilities are summarized under the following abilities. First, the ability to manage customers’ opinion regarding the offered value from the organization. Second, the ability of the organization to obtain orders from new and established customers. Third, the ability of aligning and translate the marketing strategy into an operating action plan along with the deployment of the organizational resources. Forth, the continuous process of gathering and managing information about the markets. Moreover, the literature review of this research shed light on the elements that compose the downstream marketing capabilities. Specifically, this research examined the downstream processes and the required information required to control these processes based on the American Productivity and Quality Center’s Process Classification Framework. Furthermore, the literature review examined some of the technological tools that are used in marketing processes, and also some managerial implication regarding the management of the downstream marketing employees. Along with the investigation of downstream marketing capabilities, the literature review investigated the utilization and the benefits of Component Business Model and Process Classification Framework, as they are defined by the organizations that developed them. Besides this initial study, the research presents how the examined organization is using the two frameworks together by cross-referring them. Finally, the research presents the optimal deployment of the collected downstream capabilities elements in the current organizational structure. The optimal deployment has been grounded on the information collected from the literature review but also from internal documentation, provided from the examined organization. By comparing the optimal deployment and the current condition on the organization, the research exhibits some points for improvement, but also some of the projects that are currently in progress inside the organization and eventually will provide solutions to these downsides.

Pricing anomalies in the Finnish stock market

The aim of this thesis is to examine whether the pricing anomalies exists in the Finnish stock markets by comparing the performance of quantile portfolios that are formed on the basis of either individual valuation ratios, composite value measures or combined value and momentum indicators. All the research papers included in the thesis show evidence of value anomalies in the Finnish stock markets. In the first paper, the sample of stocks over the 1991-2006 period is divided into quintile portfolios based on four individual valuation ratios (i.e., E/P, EBITDA/EV, B/P, and S/P) and three hybrids of them (i.e. composite value measures). The results show the superiority of composite value measures as selection criterion for value stocks, particularly when EBITDA/EV is employed as earnings multiple. The main focus of the second paper is on the impact of the holding period length on performance of value strategies. As an extension to the first paper, two more individual ratios (i.e. CF/P and D/P) are included in the comparative analysis. The sample of stocks over 1993- 2008 period is divided into tercile portfolios based on six individual valuation ratios and three hybrids of them. The use of either dividend yield criterion or one of three composite value measures being examined results in best value portfolio performance according to all performance metrics used. Parallel to the findings of many international studies, our results from performance comparisons indicate that for the sample data employed, the yearly reformation of portfolios is not necessarily optimal in order to maximally gain from the value premium. Instead, the value investor may extend his holding period up to 5 years without any decrease in long-term portfolio performance. The same holds also for the results of the third paper that examines the applicability of data envelopment analysis (DEA) method in discriminating the undervalued stocks from overvalued ones. The fourth paper examines the added value of combining price momentum with various value strategies. Taking account of the price momentum improves the performance of value portfolios in most cases. The performance improvement is greatest for value portfolios that are formed on the basis of the 3-composite value measure which consists of D/P, B/P and EBITDA/EV ratios. The risk-adjusted performance can be enhanced further by following 130/30 long-short strategy in which the long position of value winner stocks is leveraged by 30 percentages while simultaneously selling short glamour loser stocks by the same amount. Average return of the long-short position proved to be more than double stock market average coupled with the volatility decrease. The fifth paper offers a new approach to combine value and momentum indicators into a single portfolio-formation criterion using different variants of DEA models. The results throughout the 1994-2010 sample period shows that the top-tercile portfolios outperform both the market portfolio and the corresponding bottom-tercile portfolios. In addition, the middle-tercile portfolios also outperform the comparable bottom-tercile portfolios when DEA models are used as a basis for stock classification criteria. To my knowledge, such strong performance differences have not been reported in earlier peer-reviewed studies that have employed the comparable quantile approach of dividing stocks into portfolios. Consistently with the previous literature, the division of the full sample period into bullish and bearish periods reveals that the top-quantile DEA portfolios lose far less of their value during the bearish conditions than do the corresponding bottom portfolios. The sixth paper extends the sample period employed in the fourth paper by one year (i.e. 1993- 2009) covering also the first years of the recent financial crisis. It contributes to the fourth paper by examining the impact of the stock market conditions on the main results. Consistently with the fifth paper, value portfolios lose much less of their value during bearish conditions than do stocks on average. The inclusion of a momentum criterion somewhat adds value to an investor during bullish conditions, but this added value turns to negative during bearish conditions. During bear market periods some of the value loser portfolios perform even better than their value winner counterparts. Furthermore, the results show that the recent financial crisis has reduced the added value of using combinations of momentum and value indicators as portfolio formation criteria. However, since the stock markets have historically been bullish more often than bearish, the combination of the value and momentum criteria has paid off to the investor despite the fact that its added value during bearish periods is negative, on an average.

The us subprime crisis and stock market integration: evidence from the BRICS

The aim of this study is to examine the level of stock market co-movement in the BRICS countries and three major industrialized countries (Japan, UK and USA). While analyzing the interdependence and integration of markets, two subsets are examined: before (2000 – 2007) and during the global financial crisis (2007-2011). Generally, interdependence across markets is likely to increase during a highly volatile period. This is problematic because if it were true, the main benefit of international diversification would be reduced at times when it is most needed. The results reveal the dominant role of the US financial markets over the examined time period. Empirical studies of this research paper indicate that cross-market linkages have become slightly stronger during the ongoing subprime crisis than before crisis. However, results also show that an investor may obtain some international diversification benefits by investing especially in the BRICS countries despite the fact of unstable economic condition and growing globalization.

Brand Communication Strategy of E-commerce SMEs in Chinese Cosmetics Market

This study concentrates on how to develop a brand communication strategy for ecommerce SMEs in Chinese cosmetic market with new media channels. This study is a qualitative research. Data collection consists of primary data and secondary data. Primary data is from the case company’s websites, observation of benchmarked companies and observation of the case company. Secondary data will be collected from relevant websites and reliable databases. In order to explore the research questions, comparative benchmarking was conducted to develop brand communication strategy for case company April. The results of the study illustrate that e-commerce SMEs have to consider brand positioning strategy, brand awareness strategy, brand attitude strategy, brand media strategy and the brand benefits as well to develop brand communication strategy.

The sources of complementary competitive advantages for systems’ manufacturers in the aircraft modernization market

Being a top of high technology industries, the aerospace represents one of the most complex fields of study. While the competitiveness of aircraft systems’ manufacturers attracts a significant number of researchers, some of the issues remain to be a blank spot. One of those is the after-sale modernization. The master thesis investigates how this concept is related to the theory of competitive advantages. Finding the routes in the framework of complex technological systems’ lifecycle, the key drivers of the aircraft modernization market are revealed. The competitive positioning of players is defined through multiple case studies in a form of several in-depth interviews. The key result of the research is the conclusion that modernization should be considered as an inherent component of strategy of any aircraft systems’ manufacturer, while the master thesis aims to support managerial decision making.

The Anchoring Bias of Investors and the 52-Week High Momentum Strategy in the OMX Helsinki Stock Exchange: Psychological Approach to Market Efficiency

The behavioural finance literature expects systematic and significant deviations from efficiency to persist in securities markets due to behavioural and cognitive biases of investors. These behavioural models attempt to explain the coexistence of intermediate-term momentum and long-term reversals in stock returns based on the systematic violations of rational behaviour of investors. The study investigates the anchoring bias of investors and the profitability of the 52-week momentum strategy (GH henceforward). The relatively highly volatile OMX Helsinki stock exchange is a suitable market for examining the momentum effect, since international investors tend to realise their positions first from the furthest security markets by the time of market turbulence. Empirical data is collected from Thomson Reuters Datastream and the OMX Nordic website. The objective of the study is to provide a throughout research by formulating a self-financing GH momentum portfolio. First, the seasonality of the strategy is examined by taking the January effect into account and researching abnormal returns in long-term. The results indicate that the GH strategy is subject to significantly negative revenues in January, but the strategy is not prone to reversals in long-term. Then the predictive proxies of momentum returns are investigated in terms of acquisition prices and 52-week high statistics as anchors. The results show that the acquisition prices do not have explanatory power over the GH strategy’s abnormal returns. Finally, the efficacy of the GH strategy is examined after taking transaction costs into account, finding that the robust abnormal returns remain statistically significant despite the transaction costs. As a conclusion, the relative distance between a stock’s current price and its 52-week high statistic explains the profits of momentum investing to a high degree. The results indicate that intermediateterm momentum and long-term reversals are separate phenomena. This presents a challenge to current behavioural theories, which model these aspects of stock returns as subsequent components of how securities markets respond to relevant information.

Launching the product innovation to a market: case study from a dairy industry

In the environment of ever-changing needs of customers, technologies and competitors, the survival of the company depends on how well it researches, develops and implements new products to the market. The need for development of new products relates to many factors: globalization, international competition which is now underway on a global scale, scientific advances and development of production, changes in consumer preferences and consumer behavior. In this study the focus is on the company form a dairy products industry. This study is aimed to defining the role of product innovation launch strategy in an overall enterprise strategy, and to select the optimal combination of its marketing tools. The main purpose of this study is to determine place and the role of innovative marketing based in the innovation process, and to determine launch and positioning strategies in the general concept of an innovative product. The object of the study is the Russian enterprise, which is aimed to achieve a competitive advantage through the continuous production of new products, upgrade existing ones and improve innovation management practices. Research showed that the differentiation strategy is suitable for launching the dairy industry product innovation to a market.

Nordic banks’ entry into the Russian market: motives, processes and challenges

The importance of services in the global economy has grown steadily in the past decades and the growth of services sector’s direct investments has been increasing. Nowadays, all companies are influenced by the much changing global environment and the financial services companies are no exception. The internationalization of financial services companies is an expanding and accelerating phenomenon which has various motivations. The overall aim of this thesis is to shed light on the market entry processes of the Nordic financial services companies when they have entered the Russian market. In this study, the factors affecting Nordic banks’ market entry to Russia are presented in order to better understand what have been the main motives for market entry, what kind of processes the banks have used and what kind of challenges they have faced along the way. A case study approach was used in conducting the empirical research and it aims at investigating a specific case: Nordic banks’ entry into the Russian market. The empirical research was carried out by conducting qualitative interviews for employees involved in entry processes of the case banks. These interviews aimed at examining the Nordic banks’ motives for entering the Russian financial market. This includes reflections on the reasons why the studied banks have decided to enter Russia and what have been the motives behind these decisions. Also, the market entry processes the banks have used when they have entered the Russian market were investigated. The findings allowed comparing the related theories and different market entry modes the case banks have used. Furthermore, the market-related challenges faced by the case banks were mapped and described. In addition, the main factors related to the entry processes of the studied banks were identified and key elements of successful market entry were mapped. The findings suggest that the main motivator for banks have been to follow their customers and hence, increase the revenues and add the value to the shareholders; consequently, being a win-win-win situation to all the related parties. It was also discovered that the banks market entry processes have had resemblances but the banks have taken different paths to get where they are nowadays. As the Russian market environment differs from the one in Nordic countries, also challenges were faced by the case banks. However, the internal challenges were considered more troublesome than the external ones. As the foreign market entry process is complex as well as time and resources consuming, it is vital to understand the specifics of the target market, organizational capabilities and individuals enabling a successful entry process.

Market integration, return and volatility dynamics; empirical evidence from African stock markets

Frontier and Emerging economies have implemented policies with the objective of liberalizing their equity markets. Equity market liberalization opens the domestic equity market to foreign investors and as well paves the way for domestic investors to invest in foreign equity securities. Among other things, equity market liberalization results in diversification benefits. Moreover, equity market liberalization leads to low cost of equity capital resulting from the lower rate of return by investors. Additionally, foreign and local investors share any potential risks. Liberalized equity markets also become liquid considering that there are more investors to trade. Equity market liberalization results in financial integration which explains the movement of two markets. In crisis period, increased volatility and co-movement between two markets may result in what is termed contagion effects. In Africa, major moves toward financial liberalization generally started in the late 1980s with South Africa as the pioneer. Over the years, researchers have studied the impact of financial liberalization on Africa’s economic development with diverse results; some being positive, others negative and still others being mixed. The objective of this study is to establish whether African stock-markets are integrated into the United States (US) and World market. Furthermore, the study helps to see if there are international linkages between the Africa, US and the world markets. A Bivariate- VAR- GARCH- BEKK model is employed in the study. In the study, the effect of thin trading is removed through series of econometric data purification. This is because thin trading, also known as non-trading or inconsistency of trading, is a main feature of African markets and may trigger inconsistency and biased results. The study confirmed the widely established results that the South Africa and Egypt stock markets are highly integrated with the US and World market. Interestingly, the study adds to knowledge in this research area by establishing the fact that Kenya is very integrated with the US and World markets and that it receives and exports past innovations as well as shocks to and from the US and World market.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Stock Market reaction to the CSR announcements of American fast food companies

The purpose of this study is to examine whether Corporate Social Responsibility (CSR) announcements of the three biggest American fast food companies (McDonald’s, YUM! Brands and Wendy’s) have any effect on their stock returns as well as on the returns of the industry index (Dow Jones Restaurants and Bars). The time period under consideration starts on 1st of May 2001 and ends on 17th of October 2013. The stock market reaction is tested with an event study utilizing CAPM. The research employs the daily stock returns of the companies, the index and the benchmarks (NASDAQ and NYSE). The test of combined announcements did not reveal any significant effect on the index and McDonald’s. However the stock returns of Wendy’s and YUM! Brands reacted negatively. Moreover, the company level analyses showed that to their own CSR releases McDonald’s stock returns respond positively, YUM! Brands reacts negatively and Wendy’s does not have any reaction. Plus, it was found that the competitors of the announcing company tend to react negatively to all the events. Furthermore, the division of the events into sustainability categories showed statistically significant negative reaction from the Index, McDonald’s and YUM! Brands towards social announcements. At the same time only the index was positively affected by to the economic and environmental CSR news releases.

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.