The role of collective intelligence in crowdsourcing innovation

Social insects are known for their ability to display swarm intelligence, where the cognitive capabilities of the collective surpass those of the individuals forming it by orders of magnitude. The rise of crowdsourcing in recent years has sparked speculation as to whether something similar might be taking place on crowdsourcing sites, where hundreds or thousands of people interact with each other. The phenomenon has been dubbed collective intelligence. This thesis focuses on exploring the role of collective intelligence in crowdsourcing innovations. The task is approached through three research questions: 1) what is collective intelligence; 2) how is collective intelligence manifested in websites involved in crowdsourcing innovation; and 3) how important is collective intelligence for the functioning of the crowdsourcing sites. After developing a theoretical framework for collective intelligence, a multiple case study is conducted using an ethnographic data collection approach for the most part. A variety of qualitative, quantitative and simulation modelling methods are used to analyse the complex phenomenon from several theoretical viewpoints or ‘lenses’. Two possible manifestations of collective intelligence are identified: discussion, typical of web forums; and the wisdom of crowds in evaluating crowd submissions to websites. However, neither of these appears to be specific to crowdsourcing or critical for the functioning of the sites. Collective intelligence appears to play only a minor role in the cases investigated here. In addition, this thesis shows that feedback loops, which are found in all the cases investigated, reduce the accuracy of the crowd’s evaluations when a count of votes is used for aggregation.

Competitive Effects of Non-Controlling Minority Acquisitions – Sufficient to merit further EU merger regulation?

Partial ownership interests are a widespread phenomenon in modern corporate environment. Unless minority shareholding affords the target to exercise control over the target, they do currently not have to be notified to the European Commission under EU merger regime. However, economic research has long suggested that when linking competing or non-horizontally positioned undertakings particularly in industries with few competitors, minority shareholdings even far below the majority of shares or voting rights could lead to higher prices or lower output volumes to the detriment of consumers. The Commission has recognized this issue and proceeded to suggest an extension of the merger regime to catch also certain non-controlling minority acquisitions. Horizontal non-controlling minority shareholdings create a positive correlation between the sales revenues of the partial acquirer and target. Through the equity interest the acquirer will internalise a fraction, proportional to the financial rights attached to the shareholding, of the profit of the target. This will incentivise the acquirer to contribute to increasing the target’s business profits by increasing its own sales price (horizontal unilateral effects). When a minority stake is held in a vertically related or a conglomerate company, the minority acquirer could be allowed to hamper or eliminate the target’s rivals’ access either to inputs (input foreclosure) or customers (customer foreclosure), depending on which level of the supply chain the parties are (vertical unilateral effects). Under certain circumstances minority share acquisitions could also lessen competition because they facilitate collusion between companies active in the market (coordinated effects). Economic theory confirms that non-controlling minority shareholdings may under certain circumstances create anti-competitive effects that are unlikely to be remedies by pro-competitive effects. However, they are likely to be of less significant nature than anticompetitive effects created by full mergers. This derives fore mostly from the fact that a minority share acquirer carries all the costs associated with its unilateral action but will internalise only a fraction of the lost profits. This is likely to limit the acquirer’s incentive to raise price and the profitability of such behavior. Having in mind that the number of potentially problematic cases is expected to be next to negligible, the limited potential competitive effects of non-controlling minority share acquisitions cannot be seen to clearly merit extension of the scope of the EUMR. The system suggested by the Commission is particularly ill-fitted for such purpose given the clear lack of legal certainty and considerable administrative burden associated with it.

Intelligence in peace support operations

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

Detecting Deceit – Guessing or Assessing? Study on the Applicability of Veracity Assessment Methods in Human Intelligence

Intelligence from a human source, that is falsely thought to be true, is potentially more harmful than a total lack of it. The veracity assessment of the gathered intelligence is one of the most important phases of the intelligence process. Lie detection and veracity assessment methods have been studied widely but a comprehensive analysis of these methods’ applicability is lacking. There are some problems related to the efficacy of lie detection and veracity assessment. According to a conventional belief an almighty lie detection method, that is almost 100% accurate and suitable for any social encounter, exists. However, scientific studies have shown that this is not the case, and popular approaches are often over simplified. The main research question of this study was: What is the applicability of veracity assessment methods, which are reliable and are based on scientific proof, in terms of the following criteria? o Accuracy, i.e. probability of detecting deception successfully o Ease of Use, i.e. easiness to apply the method correctly o Time Required to apply the method reliably o No Need for Special Equipment o Unobtrusiveness of the method In order to get an answer to the main research question, the following supporting research questions were answered first: What kinds of interviewing and interrogation techniques exist and how could they be used in the intelligence interview context, what kinds of lie detection and veracity assessment methods exist that are reliable and are based on scientific proof and what kind of uncertainty and other limitations are included in these methods? Two major databases, Google Scholar and Science Direct, were used to search and collect existing topic related studies and other papers. After the search phase, the understanding of the existing lie detection and veracity assessment methods was established through a meta-analysis. Multi Criteria Analysis utilizing Analytic Hierarchy Process was conducted to compare scientifically valid lie detection and veracity assessment methods in terms of the assessment criteria. In addition, a field study was arranged to get a firsthand experience of the applicability of different lie detection and veracity assessment methods. The Studied Features of Discourse and the Studied Features of Nonverbal Communication gained the highest ranking in overall applicability. They were assessed to be the easiest and fastest to apply, and to have required temporal and contextual sensitivity. The Plausibility and Inner Logic of the Statement, the Method for Assessing the Credibility of Evidence and the Criteria Based Content Analysis were also found to be useful, but with some limitations. The Discourse Analysis and the Polygraph were assessed to be the least applicable. Results from the field study support these findings. However, it was also discovered that the most applicable methods are not entirely troublefree either. In addition, this study highlighted that three channels of information, Content, Discourse and Nonverbal Communication, can be subjected to veracity assessment methods that are scientifically defensible. There is at least one reliable and applicable veracity assessment method for each of the three channels. All of the methods require disciplined application and a scientific working approach. There are no quick gains if high accuracy and reliability is desired. Since most of the current lie detection studies are concentrated around a scenario, where roughly half of the assessed people are totally truthful and the other half are liars who present a well prepared cover story, it is proposed that in future studies lie detection and veracity assessment methods are tested against partially truthful human sources. This kind of test setup would highlight new challenges and opportunities for the use of existing and widely studied lie detection methods, as well as for the modern ones that are still under development.

The Competitive Analysis of Selected Biorefineries in Finland

Biorefineries is a perspective field of study that covers many opportunities of a successful business unit with respect to sustainability. The thesis focuses on the following key objective: identification of a competitive biorefineries production process in small and medium segments of the chemical and forest industries in Finland. The scope of the research relates to the selected biorefineries operations in Finland and the use of hemicellulose, as a raw material. The identification of the types of biorefineries and the important technical and process characteristics opens the advantage in the company’s competitive analysis. The study concentrates on the practical approach to the scientific methods of the market and companies research with the help of Quality Function Deployment and House of Quality tool. The thesis’s findings provide mindset version of the expert’s House of Quality application, identification of crucial biorefineries technical and design characteristics’ correlation and their effect on the competitive behavior of a company. The theoretical background helps to build the picture of the problematic issues within the field and provides scientific possible solutions. The analysis of the biorefineries’ market and companies operations bring the practical-oriented aptitude of the research. The results of the research can be used for the following investigations in a field and may be applied as a company’s management analytic and strategic application.

Marketing a Mobile Application in a Highly Competitive Global Marketplace

The purpose of this research was to study the marketing of mobile applications. The main objective was to find out what are the most efficient ways of marketing to increase the sales for a mobile application within a highly competitive marketplace. The marketplaces, app stores, are studied from the perspective of size, ease of entry, competition and customers and their purchasing process. The study also includes research on what are some of the main marketing methods used in mobile app marketing in general. The study consists of two parts, theoretical and empirical research. Theoretical research was done by studying past scientific research on the chosen subjects. As the subject is very new, the research was also extended to other publications from the field of mobile technology. The empirical part was done through interviews and empirical experiments with a case-company, which were used to answer the main objective of this study. These experiments showed that the chosen methods of mobile app marketing, app store optimization, localization and selected social media marketing activities, created the most sales when used together. Positive results were seen also when the activities were conducted by themselves, but together they were able to push the case company to their all time best results. However the key to succeeding and hitting high positions in the app store rankings would most likely require creating a solid marketing strategy, trying out other marketing activities alongside the ones used here, without forgetting to stay on top of mobile technology trends.

Business Intelligence Competency Centerin perustaminen: Case LähiTapiola

Tässä diplomityössä selvitetään case-tutkimuksena parhaita käytäntöjä Business Intelligence Competency Centerin (BICC) eli liiketoimintatiedonhallinnan osaamiskeskuksen perustamiseen. Työ tehdään LähiTapiolalle, jossa on haasteita BI-alueen hallinnoinnissa kehittämisen hajaantuessa eri yksiköihin ja yhtiöihin. Myös järjestelmäympäristö on moninainen. BICC:llä tavoitellaan parempaa näkyvyyttä liiketoiminnan tarpeisiin ja toisaalta halutaan tehostaa tiedon hyödyntämistä johtamisessa sekä operatiivisen tason työskentelyssä. Tavoitteena on lisäksi saada kustannuksia pienemmäksi yhtenäistämällä järjestelmäympäristöjä ja BI-työkaluja kuten myös toimintamalleja. Työssä tehdään kirjallisuuskatsaus ja haastatellaan asiantuntijoita kolmessa yrityksessä. Tutkimuksen perusteella voidaan todeta, että liiketoiminnan BI-tarpeita kannattaa mahdollistaa eri tasoilla perusraportoinnista Ad-hoc –raportointiin ja edistyneeseen analytiikkaan huomioimalla nämä toimintamalleissa ja järjestelmäarkkitehtuurissa. BICC:n perustamisessa liiketoimintatarpeisiin vastaaminen on etusijalla.

Business Intelligence: Microsoft Power BI

Työn tavoitteena on tutkia Business Intelligencen ja BI-työkalujen vaatimusten kehittymistä viime vuosien aikana ja tutkia miten Microsoft Power BI -ohjelmisto vastaa modernin päätöksenteon tarpeisiin. Työ on toteutettu suurimmalta osin kirjallisuuskatsauksena, minkä lisäksi Microsoft Power BI:n toiminnallisuutta on tutkittu käytännössä käyttäen ohjelmiston ilmaisversiota. Tutkimuksessa on havaittu, että tiedon lähteiden määrän ja datan monimuotoisuuden kasvaessa on syntynyt tarve uusille, tehokkaille BI-järjestelmäratkaisuille, jotka hyödyntävät uudenlaisia menetelmiä. Modernissa BI 2.0 -mallissa korostuvat kehittyneemmän verkkoinfrastruktuurin ja ohjelmistotekniikan täysi hyödyntäminen, käytön helppous, tiedon tuottaminen ja jakaminen massoille, tiedon rikastamisen mahdollistaminen ja visualisoinnin ja interaktiivisuuden keskeinen asema tiedon tulkinnassa. Tutkimuksen perusteella Microsoft Power BI vaikuttaisi täyttävän keskeneräisyydestään ja muutamista tiedonhallinnallisista puutteistaan huolimatta lähes kaikki toimivan BI 2.0 -järjestelmän määritelmistä. Ohjelmisto tarjoaa riittävät analyyttiset ja esitystekniset työkalut useimpien tyypillisten käyttäjien tarpeisiin, minkä lisäksi paranneltu Location Intelligence -ratkaisu sekä uudet Q&A ja nopea oivallus -toiminnot luovat mielenkiintoisen tavan selata dataa. Jää nähtäväksi, miten ratkaisu kehittyy vielä tulevaisuudessa.