Opportunity Exploration and Exploitation in International New Ventures: A Study of Relationships’ Involvement in Early Entrepreneurial and Internationalisation Events

International new ventures (INVs) are firms that engage very early after their foundation, if not immediately, in inter-national activities. INVs are a relatively recent phenomenon that deviates from earlier theories on international business. In order to develop our understanding of the emergence and early internationalisation of INVs three different research areas are built upon in the dissertation: International Entrepreneurship, Entrepreneurship and Networks. Net-works have been identified as important for INVs. However, there is a lack of more profound studies regarding the way different types of relationships influence INVs. Few studies are concerned with exploration and exploitation of opportunities and research on the benefits and drawbacks of entrepreneurs’ relationships for the international opportunity recognition process has been called for. By taking a network approach to opportunity exploration and exploitation, the dissertation develops our under-standing of how entrepreneurs’ relationships are involved in exploring and exploiting opportunities during an INV’s early and critical entrepreneurial and internationalisation events. The critical events are studied during three phases: pre-founding, start-up and early internationalisation. Since internationalisation is present from the very beginning, the early internationalisation phase may be parallel to both the pre-founding and the start-up phase. The dissertation contributes to international entrepreneur-ship research in mainly two ways. First, by offering a deep insight into which opportunity exploration and exploitation activities entrepreneurs’ relationships are involved. Second, by adding to our understanding of what the relationships contribute to these activities, mainly in the sense of benefits gained through the relationships. Studying micro firms in real time in their early development towards INVs is considered a unique contribution of the study as it offers valuable insights into pre-founding, start-up, pre-internationalisation as well as early internationalisation. The study shows that in order to understand the development of INVs, it is beneficial to go back to times when there was no thought of starting the INV. By focusing on the entrepreneurs’ background and relationships a more complete picture of the INV is gained. Relationships created at former workplaces or during school time might be the ones that develop business opportunities and set off internationalisation. By focusing on the pre-founding phase, the study also contributes to entrepreneurship literature as this stage has often been neglected or assumed obvious in earlier research. This dissertation shows that an important and mostly lengthy pre-founding phase precedes the decision to start a f rm. In addition, the integration of entrepreneurs’ real experiences with existing theory to develop a continuum for the strength of relationships allows for contributions to network theory.

The Quest for Well-being in Growth Industries 2: The Survey

This working paper reports the ongoing research conducted in the research project, The Quest for Well-being in Growth Industries: A Collaborative Study in Finland and Scotland, under the auspices of Academy of Finland research programme, The Future of Work and Well-being. The research project examines the contradictory pressures for policies and practices towards both the inhibition and the enhancement of work-related well-being that are likely in growth industries. The overall aim is to evaluate the development, implementation and use of work-related well-being policies in four selected growth industries. These – electronics, care, finance and accounting, and tourism – have been selected on the basis of EU and national forecasts, and demographic and socio-economic trends in standard and non-standard employment. In this paper we aim to review the survey that constitutes the second main phase of this research.

Microbial identification by detection of ligation probes on DNA microarray

Microbes in natural and artificial environments as well as in the human body are a key part of the functional properties of these complex systems. The presence or absence of certain microbial taxa is a correlate of functional status like risk of disease or course of metabolic processes of a microbial community. As microbes are highly diverse and mostly notcultivable, molecular markers like gene sequences are a potential basis for detection and identification of key types. The goal of this thesis was to study molecular methods for identification of microbial DNA in order to develop a tool for analysis of environmental and clinical DNA samples. Particular emphasis was placed on specificity of detection which is a major challenge when analyzing complex microbial communities. The approach taken in this study was the application and optimization of enzymatic ligation of DNA probes coupled with microarray read-out for high-throughput microbial profiling. The results show that fungal phylotypes and human papillomavirus genotypes could be accurately identified from pools of PCR amplicons generated from purified sample DNA. Approximately 1 ng/μl of sample DNA was needed for representative PCR amplification as measured by comparisons between clone sequencing and microarray. A minimum of 0,25 amol/μl of PCR amplicons was detectable from amongst 5 ng/μl of background DNA, suggesting that the detection limit of the test comprising of ligation reaction followed by microarray read-out was approximately 0,04%. Detection from sample DNA directly was shown to be feasible with probes forming a circular molecule upon ligation followed by PCR amplification of the probe. In this approach, the minimum detectable relative amount of target genome was found to be 1% of all genomes in the sample as estimated from 454 deep sequencing results. Signal-to-noise of contact printed microarrays could be improved by using an internal microarray hybridization control oligonucleotide probe together with a computational algorithm. The algorithm was based on identification of a bias in the microarray data and correction of the bias as shown by simulated and real data. The results further suggest semiquantitative detection to be possible by ligation detection, allowing estimation of target abundance in a sample. However, in practise, comprehensive sequence information of full length rRNA genes is needed to support probe design with complex samples. This study shows that DNA microarray has the potential for an accurate microbial diagnostic platform to take advantage of increasing sequence data and to replace traditional, less efficient methods that still dominate routine testing in laboratories. The data suggests that ligation reaction based microarray assay can be optimized to a degree that allows good signal-tonoise and semiquantitative detection.