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This paper investigates the extent to which formal capital budgeting methods are used in small high-tech firms. We define high-tech firms by their R&D intensity. In addition, we define software industry as a special type of R&D-intensive firm. We focus on the methods that are used by the small high-tech firms in evaluating the profitability of investment projects, estimating the cost of capital and making decisions related to the capital structure. Our results based on two surveys of Finnish firms indicate that the high-tech firms use similar capital budgeting methods and estimate their cost of capital in a similar way to other small-sized firms in other industries. Moreover, high-tech firms seek external financing and co-owners.

Purpose – The study examines the roles of external facilitation in the internationalization process of high-tech firms.

Methodology/approach – The study elaborates on the roles of external facilitation through a case study of two small high-tech firms that took part in a partly governmentally financed facilitation program.

Findings – The study illustrates the internationalization of a high-tech firm as a process that includes actions of both the facilitating actors and the high-tech firm. It defines the primary roles of external facilitation over the facilitated internationalization process of firms.

Research limitations/implications – The internationalization was followed only during the time that the firms participated in a facilitation program. The external facilitation under study is of a program type; therefore the process followed is not a spontaneous one but the facilitation has certain planned phases. Future research should be conducted on the entire internationalization processes of these firms and on the utilization of various types of external facilitation.

Practical implications – The study shows how high-tech firms can benefit from external facilitation in their internationalization. It gives insight into how the type of the company and its background are related to the roles of external facilitation.

Originality/value – The study extends the existing research on the internationalization of small high-tech firms by focusing on the roles of external facilitation in their internationalization. There are numerous institutions and actors who aim to facilitate the internationalization of small firms, but there is a limited amount of research on the roles of these facilitators.

High technology entrepreneurs have received increased attention over the past decade as it is now recognized that these entrepreneurs are able to build companies that generate high wage employment and high levels of wealth. While much anecdotal evidence has been offered as to who these entrepreneurs are, little is known about their early efforts to launch a high technology company. Based on the most recent data that specifically profiles nascent entrepreneurs throughout the United States, we extrapolate and discuss implications of our findings. Specifically, we identify who, where, when, and why these entrepreneurs are engaged in this important form of business launch. We conclude by suggesting how decision-makers and institutions can better facilitate and nurture the launch of high technology firms.

This chapter investigates how regional start-up rates in the knowledge-intensive services and high-tech industries are influenced by knowledge spillovers from both universities and firm-based R&D activities. Integrating insights from economic geography and organizational ecology into the literature on entrepreneurship, we develop a theoretical framework which captures how both supply- and demand-side factors mold the regional bedrock for start-ups in knowledge-intensive industries. Using multilevel data of all knowledge-intensive start-ups across 286 Swedish municipalities between 1994 and 2002 we demonstrate how characteristics of the economic and political milieu within each region influence the ratio of firm births. We find that knowledge spillovers from universities and firm-based R&D strongly affect the start-up rates for both high-tech firms and knowledge-intensive services firms. Further, the start-up rate of knowledge-intensive service firms is tied more strongly to the supply of university educated individuals and the political regulatory regime within the municipality than start-ups in high-tech industries. This suggests that knowledge-intensive service-start-ups are more susceptible to both demand-side and supply-side context than is the case for high-tech start-ups in general. Our study contributes to the growing stream of research that explains entrepreneurial activity as shaped by contextual factors, most notably academic institutions, such as universities that contribute to knowledge-intensive start-ups.

Given prior limited research on boards in clean-tech enterprises, we investigate what constitutes an effective board exploring in-depth: who the board members are, what roles they perform and how these roles are performed.

Our study is an inductive, multiple case study of five clean-tech enterprises established in Norway.

We find that board composition in terms of complementary resources that the top management team lacks added by outside directors, their increased engagement in the board service role and board behavioural integration are important constituents of board effectiveness, which in turn translates into the increased levels of the firm’s strategic action capabilities, both action speed and breadth.

We suggest that these three constituents (prevalence of outside directors, board service role engagement and board behavioural integration) together make up the board contribution, which is most valued by clean-tech enterprises in the earliest stages of their development. Future research could be conducted in other types of high-tech start-ups and/or in other hybrid social enterprises to strengthen the generalizability of our findings.

While the mainstream governance research focuses on for-profit boards in large established companies, our study adds to the research on non-for-profit governance and boards in clean-tech enterprises that are both small entrepreneurial and hybrid social enterprises.

The high-growth potential has long been the dominant view on RBSUs among researchers and policy makers. Several researchers indicate that RBSUs, once they have reached a certain critical mass, exhibit faster average employment growth rates than non-high-tech starters (Mustar, 1995; Licht & Nerlinger, 1998; Storey & Tether, 1998; Delapierre, Madeuf, & Savoy, 1998; Autio & Parhankangas, 1998). However, in recent years several researchers showed that the idea of fast growth does not hold for most RBSUs. Rickne and Jacobsson (1999) found that the vast majority of new technology-based firms (NTBFs) remained very small. Also Autio and Yli-Renko (1998) reported that most NTBFs in Finland did not grow at all. Similar findings were reported in France (Mustar, 1997), Italy (Chiesa & Piccaluga, 2000) and in Cambridge, UK (Segal Quince Wicksteed, 2000). Delappiere et al. (1998) further argue that high-tech firms that concentrate on R&D and work primarily as research subcontractors for large groups show little employment growth. In contrast, firms that deal with turning technology into new uses tend to grow and create employment as they develop their manufacturing and marketing capabilities. Clearly, there is still much discussion and uncertainty regarding the growth potential of RBSUs.

Despite the importance of high-technology firms to the global economy, relatively little is known about factors contributing to these firms’ long-run growth. We examine these factors using a unique longitudinal dataset combining two waves of detailed surveys of 345 UK high-tech firms with performance data from UK official datasets. Overall we conclude that the early strategic decisions made by firms have long-run impacts on their subsequent growth, and we suggest that policy measures targeted at shortfalls faced by these firms may have positive long-term consequences.

High-growth firms (HGFs) make a considerable contribution to economic growth, and in recent years they have received increasing interest from entrepreneurship scholars. By analysing recent findings in the literature of high-growth firms, this study identifies some Stylized Facts, as well as contradictory findings, and also some unknowns regarding the determinants and internal strategies of HGFs, particularly on the persistence of their superior growth performance and the implications of recent findings for economic policy.

Efficiency and productivity has always being a key issue in economic science. The analysis of the impact of research and development (R&D) has been extensively studied in industries and countries of more or less aggregated level. This chapter aims to investigate the impact of corporate R&D in performance of low-tech industries, medium-tech, and high-tech in OECD countries.

This chapter aims to answer the questions: Is the impact of R&D significant for all types of industries? If so, what are the differences and the magnitude of these effects in each of these types of industries?

To this end, an unbalanced data set from 2000 to 2011 was collected for the main countries of Europe and the United States concerning low-, medium-, and high-tech to analyze the impact of the magnitude of corporate R&D and capital accumulation on productivity of these industries. The productivity of industries was measured by stochastic parametric frontier functions, in order to measure the efficiency of R&D and accumulation of capital on labor productivity.

The main results highlight the impact of corporate R&D on productivity of high-tech industries, but for other industries those relations are not clear. However, capital accumulation became crucial on low technology to improve their performance. These results, although needing to include a more extensive data set of industries across countries, refer the need for policy and decision makers to allocate public funds for R&D in high-tech industries, while the investment in capital seems crucial, particularly in low-tech industries to improve the productivity.