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This study examined factors influencing the growth of new firms in metal‐based manufacturing and business services in Finland over the three first years of their operation. The factors affecting the growth of a new firm were found in the start‐up phase, in the characteristics of the entrepreneur and of the firm, and in the firm’s environment. Growth was especially explained by the know‐how and changes in the strategic behaviour of the entrepreneur and by the firm’s environment. New firmshad equal chances for growth irrespective of their locality. Instead, growth was affected by changes in a firm’s competitive situation, and, especially in the more developed service centres, growth was dependent on a firm’s expanding its market area in the first three years of operation. The results also clearly indicated that in a small specialist firm personal relationships formed an important part of the entrepreneur’s management capabilities.

Purpose – The main research question of this contribution is whether local market concentration influences R&D and innovation activities of foreign affiliates of transnational companies.

Methodology/approach – We focus on transition economies and use discriminant function analysis to investigate differences in the innovation activity of foreign affiliates operating in concentrated markets, compared to firms operating in nonconcentrated markets. The database consists of the results of a questionnaire administered to a representative sample of foreign affiliates in a selection of five transition economies.

Findings – We find that foreign affiliates in more concentrated markets, when compared to foreign affiliates in less concentrated markets, export more to their own foreign investor's network, do more basic and applied research, use more of the existing technology already incorporated in the products of their own foreign investor's network, do less process innovation, and acquire less knowledge from abroad.

Research limitations/implications – The results may be specific to transition economies only.

Practical implications – The main implications of these results are that host country market concentration stimulates intranetwork knowledge diffusion (with a risk of transfer pricing), while more intense competition stimulates knowledge creation (at least as far as process innovation is concerned) and knowledge absorption from outside the affiliates' own network. Policy makers should focus their support policies on companies in more competitive sectors, as they are more likely to transfer new technologies.

Originality/value – It contributes to the literature on the relationship between market concentration and innovation, based on a unique survey database of foreign affiliates of transnational corporations operating in Eastern Europe.

Research on high-growth firms (HGFs) or gazelles is expanding due to their significant contribution to job growth and economic development. However, the knowledge about the conditions and factors that set these firms on their rapid growth trajectory remains fragmented. Therefore, this chapter provides an abreast inventory of the surging gazelle studies by systematically reviewing the international gazelle growth literature and consolidating firm-level, industry-level, and macroeconomic-level growth factors and their interactions as elaborated in the studies. Based on the review of 62 international empirical studies, this chapter finds that the gazelle growth is complex and multidimensional in its scope and nature. The firm’s growth intention and entrepreneurial nature emerge as necessary but not sufficient conditions to guarantee rapid growth as it results from the impact of and interaction between various firm-level and external factors. The different growth-influencing factors are summarized using a theoretical gazelle growth model, which supports the rare and temporal nature of the gazelle growth.

This paper aims to examine factors influencing the high growth of new firms in metal‐based manufacturing and business service firms in Finland. It seeks to compare the factors of how new firms achieve a high rate of growth during the first four years and years five to eight.

The study reported here is part of a longitudinal research project that has followed the development of 200 SMEs in Finnish metal‐based manufacturing and business services since their start‐up in 1990. At the seven‐year follow‐up the present study concentrates on the 86 surviving firms. Logistic regression analysis was used as statistical technique in locating differences between high‐growth and other firms and their owner‐managers in the selected attributes. This paper focuses on Storey's key elements. In search of potential differences in these characteristics between high‐growth firms and other firms, this study compares Finnish firms in relation to founders' motives in starting up on their own account and in their individual background characteristics, changes in strategic factors, changes in networks and management styles during various stages of entrepreneurship.

The results indicated firstly that there is a clear connection between entrepreneur's know‐how and the high growth of firms. Secondly, the findings of this study demonstrate that external networks as a management capability bring about great competitive advantage, innovations and efficiency, especially during the first four years. However, the findings of five to eight years of development contradict the findings of the first four years. The results show that the use of internal networks has a positive effect on firms' high growth during years five to eight years. Finally, the results show that industry sector affected high growth, especially in specialised metal industry firms, both during the first four years and after five to eight years of development.

The implications of this study for academics, educational institutions, entrepreneurs, and other practitioners are that the so‐called support services of internationalisation and growth for new firms are most important. These support services could be developed with public sector assistance in areas such as financing research, innovation and information technology projects.

The paper provides a framework for testing the factors that differentiate growing new ventures during various stages of entrepreneurship.

Examines the characteristics of the entrepreneurial personality and the effects of changes in the entrepreneur’s personal relationships. According to the empirical findings, becoming an entrepreneur and acting as an entrepreneur are both aspects of the entrepreneur’s learning process, which in turn has an effect on the personality characteristics of the entrepreneur. The entrepreneur’s drive to solve problems (= mastery) had increased, and control by powerful others decreased since the start‐up phase. Changes in the entrepreneur’s relations with others were also observed to have an effect on the entrepreneur’s personality characteristics. The empirical findings also show that as the number of co‐operative partners decreased, control by powerful others also decreased, and that, since the start‐up phase, entrepreneurs whose personal relations had increased also showed a clear increase in mastery.

Emotional Intelligence (EQ) has been identified as a crucial predictor for workplace success. Entrepreneurs are those that shine and excel in the workplace beyond the norm. The present study aimed to provide a preliminary insight into this area of entrepreneurship research. Through the use of qualitative methods, several Australian entrepreneurs were examined in relation to their Emotional Intelligence ability. EQ was examined via in‐depth structured interviews. It was predicted that the entrepreneurs would significantly exhibit these ratios and hence an EQ level beyond the norm. Not only did the study yield such a result, it also showed that the entrepreneurs exhibited high levels of all the sub‐scales in each model. The outstanding performance of each entrepreneur in Emotional Intelligence ability, as well as all the sub‐scales, strongly supports the concept that EQ may be the missing factor that researchers have been searching for in entrepreneurship studies.

Ever since Sarasvathy’s (2001) seminal article, scholars have sought to test effectuation’s affect on firm performance. Although recent work has begun the arduous process of testing effectuation’s effect on entrepreneurial performance, there is still much to learn about its impact on firm performance. One such area is the relationship between effectuation and innovation. The purpose of this paper is to first, propose a scale suitable to the explication of the effectuation construct relative to innovation. Second, it proposes a more parsimonious scale for the measurement of innovation. Third, these scales are tested relative to firm performance.

This paper develops and tests a structural model, which investigates aspects of effectuation as mediators between innovation orientation and product/service innovation. This is accomplished using a sample of 169 electronic product manufacturing-based small and medium-sized enterprises (SMEs). Subjective measures of performance are used as the dependent variable.

The three most widely used measures of innovativeness were found to break cleanly into two sub-constructs, namely innovation orientation and product/service innovation. Effectuation measures included means (who I know), leverage contingencies (experimentation), pre-commitments and affordable loss. Means and leverage contingencies were found to positively mediate innovation orientation and product/service innovation leading to increased firm performance. Affordable loss did not show a mediating role, but had a direct effect on firm performance.

This study establishes two distinct sub-constructs of firm-level innovation; namely innovation orientation and product/service innovation. Second, by testing an innovation-centric effectuation model, this research establishes an empirical relationship between effectuation, innovation and firm performance.

Practical implications include establishing a relationship between means, leverage contingencies and innovation-performance, indicating that the ways through which small and medium-sized enterprises use their innovation networks may affect innovation outcomes and ultimately firm performance.

This research establishes an empirical relationship between effectuation, innovation and firm performance, extending effectuation theory from the entrepreneurship to the innovation literature.

The purpose of this study is to analyse which factors differentiate growing firms from the non‐growth businesses. It seeks to analyse the start‐up factors as well as the changes in the activities and the characteristics during the seven‐year period from the start‐up stage.

The study is a part of a longitudinal research project that has followed the development of 200 SMEs in Finnish metal‐based manufacturing and business services since their start‐up in 1990. The paper uses a contingency approach and concentrates on 86 respondents who have survived after seven years' activity. The paper develops a model for testing the factors that differentiate growing ventures from the non‐growth companies.

Static characteristics of the entrepreneur and the firm other than group management style do not explain the growth of the firm. The factors that differentiate growing businesses from non‐growth companies include mainly dynamic variables such as increases in production capacity and external network relations, and changes in adopting a specialised product policy. In most cases extrovert attitude and proactive strategies, particularly with respect to markets, were necessary to achieve growth over an extended period.

The study is restricted to two branches of industry and the period covered included a severe recession in the economy. Thus more branches and development during a less turbulent time period could be included. The most important implication of the study is that analysing growth should concentrate on the dynamics of firm development rather than on static characteristics of the entrepreneur or the firm.

The practitioners, e.g. venture capitalists, could use the results when selecting their portfolio companies, since the findings suggest the variables which should be used in differentiating growing businesses from non‐growth companies.

The paper uses a contingency approach together with longitudinal data in the analysis. The results show that the differentiating factors of growing companies are dynamic variables, including especially motivation and strategy factors. Thus longitudinal data are a necessary condition for robust analysis of growth.

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs’ decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive.

This chapter aims to develop knowledge about entrepreneurs’ SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors identify 10 building blocks and nine sources of entrepreneurs’ Social relationships. The authors offer an original typology of Social relationships using 12 criteria. Interestingly, with regard to building blocks, besides those frequently considered such as trust, reciprocity and commitment, the authors also point to others more rarely and narrowly discussed, such as gratitude, satisfaction and affection. Similarly, the authors discuss the varied scope of sources, including workplace, family/friendship, past relationships, and ethnic or religious bonds. The findings of this study point to a variety of links between Social relationships and inter-organizational cooperation, including their positive and negative influences on one another. These links appear to be extremely dynamic, bi-directional and highly complex.