Etuosakkeen käyttö rahoitusinstrumenttina Suomessa

Tutkielman tavoitteena on selvittää miten etuosaketta on käytetty rahoitusinstrumenttina Suomessa ja millaisia yhtiöjärjestysmääräyksiä kyseiset osakeyhtiöt ovat ottaneet yhtiöjärjestyksiinsä. Tätä varten analysoidaan yhdentoista osakeyhtiön yhtiöjärjestykset. Tutkielman loppupuolella käsitellään myös tulevan osakeyhtiölakiuudistuksen vaikutusta etuosakkeeseen asemaan uuden lain astuessa voimaan. Tutkielman perusteella voidaan todeta, että etuosakkeen käytölle ei ole muodostunut mitään yhtenäistä tapaa Suomessa, vaan määräykset ovat hyvinkin yksilöllisesti laadittuja lähes poikkeuksetta.

Share RepurchasePractices in Finland

Tämäntutkimuksen tarkoituksena oli selvittää omien osakkeiden takaisinostoihin liittyviä käytäntöjä Suomessa. Tutkimuksessa selvitettiin ilmoitettujen takaisinostojen syiden ja yritysten todellisen käyttäytymisen suhdetta. Tutkimuksessa tarkasteltiin myös takaisinostoihin liittyviä ylituottoja. Tämä tutkielma on kvantitatiivinen tutkimus, jossa tutkimus perustuu Datastream tietokannasta ja pörssitiedotteista saatuun dataan sekä aikaisempiin tutkimuksiin aiheesta. Tutkimuksen perusteella voidaan todeta, että yritysten ilmoittamat syyt takaisinostoille eivät kerro yritysten todellisista aikeista tai käyttäytymisestä. Ylituottojen tutkimuksen perusteella voidaan todeta, että suurempi takaisinosto-ohjelma ja ennakoimaton takaisinosto aiheuttavat vahvemman positiivisen markkinareaktion.

Some advances in mathematical models for preference relations

Preference relations, and their modeling, have played a crucial role in both social sciences and applied mathematics. A special category of preference relations is represented by cardinal preference relations, which are nothing other than relations which can also take into account the degree of relation. Preference relations play a pivotal role in most of multi criteria decision making methods and in the operational research. This thesis aims at showing some recent advances in their methodology. Actually, there are a number of open issues in this field and the contributions presented in this thesis can be grouped accordingly. The first issue regards the estimation of a weight vector given a preference relation. A new and efficient algorithm for estimating the priority vector of a reciprocal relation, i.e. a special type of preference relation, is going to be presented. The same section contains the proof that twenty methods already proposed in literature lead to unsatisfactory results as they employ a conflicting constraint in their optimization model. The second area of interest concerns consistency evaluation and it is possibly the kernel of the thesis. This thesis contains the proofs that some indices are equivalent and that therefore, some seemingly different formulae, end up leading to the very same result. Moreover, some numerical simulations are presented. The section ends with some consideration of a new method for fairly evaluating consistency. The third matter regards incomplete relations and how to estimate missing comparisons. This section reports a numerical study of the methods already proposed in literature and analyzes their behavior in different situations. The fourth, and last, topic, proposes a way to deal with group decision making by means of connecting preference relations with social network analysis.

“Why share in uncertain conditions?” Factors of individual level knowledge sharing in offshoring cases

The objective of this Master’s Thesis was to research factors influencing and enhancing individual level knowledge sharing in offshore projects which often involve uncertainty of the knowledge provider’s own future. The purpose was to understand why individuals are willing to share their knowledge under these kinds of circumstances. In addition the goal was to identify obstacles to interpersonal knowledge sharing in order to understand how to mitigate their influence. The research was conducted as a qualitative multiple case study in a global IT company, and the data was gathered using semi-structured personal theme interviews within two different offshore projects. In order to a gain a wider perspective on the matter, some management representatives were interviewed as well. Data was analysed with the inductive content analysis method. Results of the study indicate that individuals are willing to share their knowledge despite of uncertainty if they are motivated, if they are provided with opportunities to do so, and if they have skills, competence and experience to share their knowledge. A strong knowledge sharing culture in the organization or team also works as a strong incentive for individual level knowledge sharing. The findings suggest that even under uncertain conditions it is possible to encourage people to share their knowledge if uncertainty can be decreased to a bearable level, a robust and personal connection and relationship between the knowledge provider and acquirer can be created and suitable opportunities for knowledge sharing are provided. In addition, based on the results the support and commitment of management and HR in addition to favourable environmental circumstances play an essential role in building a bridge between the knowledge provider and acquirer in order to create a virtual environment and space for knowledge sharing: Ba.

Motivations behind clicking the share-button

The main objective of this study is to examine the motivations behind sharing information and other content in social media. The goal was also to research how social media has changed information sharing behavior online. The theoretical part of the study covers social media marketing, motivations and Rioux’s framework of Information-Acquiring–and-Sharing in Internet environments. Marketer’s abilities to influence information sharing is explained through the MOA-model. The empirical research was conducted by using deductive research methods to assess Rioux’s framework of IA&S behavior in social media. This study included interviews of 12 respondents. The data was collected and analyzed by using qualitative research methods. This study confirms Rioux’s findings. Everyday information needs motivate information acquiring behavior. The findings show that social and emotional needs for maintaining relationships and the need for participation are considered as the most important internal motivations of sharing information and other content on social media. External motivations include expectations of others, environmental norms, and opportunities to win money. Social media strengthens the motivation for sharing information by offering a platform for satisfying these needs. It has also increased information sharing online due to its ease of use.

The Impact of Acquisitions on Share Pricing and Long Term Performance – Empirical Evidence from the Global Automotive Industry

Automotive industry has faced intense consolidation pressure, which has lead to increasing number of M&As. However, empirical evidence has given controversial results suggesting that most of M&As are value destructive for acquiring companies and for acquiring companies’ shareholders. The objective of this master’s thesis is to examine how acquiring companies’ shareholders react to acquisition announcement and is the reaction in line with the long-term performance. This study uses empirical evidence from automotive industry, which has been characterized as an industry that holds large amount of vertical and horizontal synergies. Transaction data consists of 65 acquisitions made by publicly listed companies between 2008-2010. The short-term impact is tested by applying event study methodology while the long term operative performance is examined with accounting study methodology. The event study results indicate that during the three days after acquisition (t= 0-2), the acquiring firms’ stocks generate an abnormal return of 1.22% on average across all acquisitions. When long term performance is studied it is evident that acquiring companies perform better than the industry median pre- and post-transaction but there is no statistically significant evidence that the performance has increased. The only performance ratio indicating statistically significant decrease is Return on Equity (ROE). On long-term horizontal acquisitions seem to outperform conglomerate ones but otherwise deal characteristics do not have any statistically significant impact.