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.

EU Strategy for the Baltic Sea Region: its added value in environmental social and economic dimensions

The European Council has invited the European Commission to present the first macro-regional strategy – the EU Strategy for the Baltic Sea Region (EUSBSR) on the 14th of December 2007, primarily to address collective challenges and opportunities of the Region and also to engender cohesion in support of an European integration policy. However, macro-regional strategies conceived to aid European integration and territorial cohesion were viewed by academics with skepticism, obscuring the strategies’ potential impact. This thesis intends to investigate and measure the added value of the EUSBSR in order to analyze its impact on regional development and its feasibility as a guide for future programs intending to strengthen European cohesion and integration. To determine the added value of the EUSBSR the thesis is organized into three sections, so as to address environmental, social, and economic concerns, respectively. The first case examines EU-Russia cooperation in an environmental context to investigate how environmental cooperation with an external neighbor could forge increased cohesion in a macro-regional setting. To figure the added cooperation that academic cooperation among universities would contribute to social dimension, the work has chosen several study results. Lastly, to measure out the added value for the economic strategy objective, the study employs the project for Improved Global Competitiveness in an example of ‘A Baltic Sea Region Program for Innovation, Cluster and SME-Networks’ as an economic plan.

Evaluation of Machine Learning Classifiers for Mobile Network Intrusion Detection Systems

Mobile malwares are increasing with the growing number of Mobile users. Mobile malwares can perform several operations which lead to cybersecurity threats such as, stealing financial or personal information, installing malicious applications, sending premium SMS, creating backdoors, keylogging and crypto-ransomware attacks. Knowing the fact that there are many illegitimate Applications available on the App stores, most of the mobile users remain careless about the security of their Mobile devices and become the potential victim of these threats. Previous studies have shown that not every antivirus is capable of detecting all the threats; due to the fact that Mobile malwares use advance techniques to avoid detection. A Network-based IDS at the operator side will bring an extra layer of security to the subscribers and can detect many advanced threats by analyzing their traffic patterns. Machine Learning(ML) will provide the ability to these systems to detect unknown threats for which signatures are not yet known. This research is focused on the evaluation of Machine Learning classifiers in Network-based Intrusion detection systems for Mobile Networks. In this study, different techniques of Network-based intrusion detection with their advantages, disadvantages and state of the art in Hybrid solutions are discussed. Finally, a ML based NIDS is proposed which will work as a subsystem, to Network-based IDS deployed by Mobile Operators, that can help in detecting unknown threats and reducing false positives. In this research, several ML classifiers were implemented and evaluated. This study is focused on Android-based malwares, as Android is the most popular OS among users, hence most targeted by cyber criminals. Supervised ML algorithms based classifiers were built using the dataset which contained the labeled instances of relevant features. These features were extracted from the traffic generated by samples of several malware families and benign applications. These classifiers were able to detect malicious traffic patterns with the TPR upto 99.6% during Cross-validation test. Also, several experiments were conducted to detect unknown malware traffic and to detect false positives. These classifiers were able to detect unknown threats with the Accuracy of 97.5%. These classifiers could be integrated with current NIDS', which use signatures, statistical or knowledge-based techniques to detect malicious traffic. Technique to integrate the output from ML classifier with traditional NIDS is discussed and proposed for future work.

The Formation Of Internationalization Strategies Within The Construction Industry:Vision and Strategy

Internationalization represents a complex topic that has been researched for quite some time. However, since it continues to be extremely current a topic, its significance has not diminished, but maybe even increased in importance. Companies today face extreme pressure to enter new markets in the hope of growing, becoming more profitable, increasing market share, attracting new customers and meeting the requirements of its share- and stakeholders. In the increasingly global business environment of today, companies are facing both challenges and possible advantages of internationalization. Few companies are not operating internationally and it is becoming the question of ‘Why not?’ rather than ‘Why?’ to internationalize business operations. Internationalization and the importance of strategy are discussed in this research from the viewpoint of three case companies that were interviewed about internationalization strategies. This research project is a qualitative study that answers the research question of How is a business strategy constructed for entering a new market? The sub-questions are • How are goals set and what indicators are used to monitor the achievement of these goals? • What are the key characteristics of a strategy implementation process? The research method chosen for this study is a multiple-case study. Three case companies were chosen for the interviews in order to gain in-depth data of internationalization strategies within the construction industry.

Logistics service provider's strategy renewal

Tässä diplomityössä tutkitaan strategian määrittämistä. Tutkimus keskittyy logistiikkapalvelualan yrityksen strategian uudistamiseen ja strategiatyön kehittämiseen. Tutkimus pyrkii selvittämään miten yritys pystyy parhaiten saavuttamaan strategiset tavoitteensa. Lisäksi pyritään selvittämään miten yritys pystyy luomaan ja ylläpitämään kilpailuetua. Tutkimus toteutetaan tutkimalla ensin strategiaa, strategiaprosessia ja logistiikkapalvelualan liiketoimintaa kirjallisuudessa. Empiirinen osuus toteutetaan pääosin yrityksen johtoryhmän jäsenten kanssa strategiatyöpajoissa. Yrityksen hallitus asettaa strategiset tavoitteet ja myös hyväksyy projektin eri vaiheiden tulokset. Strategisissa analyyseissä otetaan huomioon sekä ulkoinen että sisäinen näkökulma, jotta saadaan kattava kuva yrityksen liiketoimintaympäristöstä sekä yrityksen vahvuuksista ja heikkouksista. Analyysejä hyödynnetään strategisten vaihtoehtojen muodostamisessa sekä yritys- että liiketoimintatasolla. Strategiset valinnat tehdään sen perustella, miten eri strategiset vaihtoehdot tukevat asetettuja strategisia tavoitteita. Tutkimuksen tuloksena määritellään yrityksen strategia, joka myös dokumentoidaan. Lisäksi luodaan strategisen suunnittelun ja johtamisen prosessi, joka mahdollistaa reagoinnin liiketoimintaympäristössä tapahtuviin nopeisiin muutoksiin.

SME Growth Strategy - Exploring New Market Segments

Tämän tutkimuksen tarkoituksena oli tunnistaa uusia markkinoita ja markkinasegmenttejä yrityksen kasvustrategiaa varten. Yritys on kasvanut erittäin voimakkaasti viime vuosina nykyisillä markkinoillaan ja haluaa nyt jatkaa kasvuaan uusilla markkinoilla. Työ koostuu kirjallisuuskatsauksesta ja empiirisestä osuudesta. Kirjallisuuskatsauksessa on tunnistettu useita pk-yrityksen kasvuun vaikuttavia tekijöitä, uusien markkinoiden kartoittamiseen ja arvioimiseen vaikuttavia tekijöitä, ja lisäksi liiketoimintastrategiaan ja markkinasegmentin valintaan vaikuttavia tekijöitä. Empiirisen osuuden data kerättiin 60 asiantuntijahaastattelusta, joilla kartoitettiin kokonaismarkkinoita ja saatiin tarkkaa markkinainformaatiota kohdemarkkinoista. Tutkimuksessa tunnistettiin kymmenen potentiaalista toimialaa ja 54 potentiaalista markkinasegmenttiä. Kirjallisuudesta tunnistetuilla kriteereillä, teknologisin perustein ja yrityksen omien näkökulmien perusteella näistä valittiin kohdemarkkinoiksi kahdeksan. Tutkimuksessa kehitettiin markkinasegmenttien arviointiin malli. Mallin avulla valitut kahdeksan markkinasegmenttiä listattiin järjestykseen niiden houkuttelevuuden perusteella. Jatkotoimenpiteenä yrityksessä tullaan kehittämään kasvustrategia perustuen tutkimuksen tuloksille.