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Acquisition is one of key corporate strategic decisions for firms’ growth and competitive advantage. Firms: (1) diversify through acquisition to balance cash flows and spread the business risks; and (2) eliminate their competitors through acquisition by acquiring new technology, new operating capabilities, process innovations, specialized managerial expertise, and market position. Thus, firms acquire either unrelated or related business based on their strategic motivations, such as diversifying their business lines or improving market power in the same business line. These different motivations may be related to their assessment of market growth, firms’ competitive position, and top management’s compensation. Thus, it is hypothesized that firms’ acquisition decisions may be related to their industry growth potential, post-acquisition firm growth, market share change, and CEO’s compensation composition between cash and equity. In addition, for the two alternative acquisition accounting methods allowed until recently, a test is made if the type of acquisition is related to the choice of accounting methods. This study classifies firms’ acquisitions as related or unrelated, based on the standard industrial classification (SIC) codes for both acquiring and target firms. The empirical tests are, first, based on all the acquisition cases regardless of the firm membership, and then, deal with the firms acquiring only related businesses or unrelated businesses exclusively.

The type of acquisitions was more likely related to industry growth opportunities, indicating that the unrelated acquisition cases are more likely to be followed by higher industry growth rate than the related acquisition cases. While there were a substantially larger number of acquisition cases using the purchase method, the related acquisition cases used the pooling-of-interest method more frequently than in the unrelated acquisition cases. The firm-level analysis shows that the type of acquisition decisions was still related to acquiring firms’ industry growth rate. However, the post-acquisition performance measures, using firm’s growth and change in market share, could support prior studies in that the exclusive-related acquisitions helped firms grow more and get more market share than the exclusive-unrelated acquisitions. CEO’s compensation composition ratio was not related to the types of acquisition.

The purpose of this paper is to examine the effect of financial constraints on firm growth considering six types of ownership structure. According to the theory of financial management and asymmetric information theory, external funds are costly for small firms. However, some ownership structures may alleviate cash flow-growth sensitivity. The paper considers different types of ownership structure to study cash flow-growth relation and its sensitivity.

Results are drawn from a dynamic panel data model under the two specific empirical models. Those designs can capture important empirical meanings.

The sensitivity of growth to cash flow decreases significantly when managers control larger proportions of a firm's stock and when a firm belongs to a conglomerate. The findings also show that small and young firms grow faster. R&D and advertising expenditures also motivate a firm's growth, as do profitability and abundant cash flow.

This paper uses a dynamic panel data model to investigate the effect of cash flow on firms' growth under six types of ownership structure. The sensitivity analysis of growth to cash flow provides new results for traditional literature. In fact, different ownership structures lead to distinct cash flow-growth sensitivity.

Using accounts data for a sample of 38 small manufacturing firms located in Tayside Region, this paper investigates the relationship between company characteristics including size, age, location and industry group, and profitability and growth. The trade‐off between the possibly conflicting objectives of profit and growth is considered primarily from the entrepreneurial rather than the managerial standpoint which previous econometric studies of small firm performance have concentrated on. Motivations for undertaking entrepreneurial activity and their possible relationships with profitability and growth are discussed and a number of hypotheses developed. From this perspective it is argued that a firm size measure based on employment is more appropriate than one based on sales or assets which previous studies have used. Firm characteristics are found to be of limited value in explaining profitability. However, larger firms are found to grow faster than smaller, and younger firms are found to grow faster than older. This is also some evidence that growth is stronger in urban than in suburban or rural locations. It is possible that entrepreneurial motivations are an important factor in this regard and it is suggested that future econometric studies of small firm performance take these into account.

This article reports the findings of a survey of export attitudes and behavior of small‐ and medium‐sized U.S. manufacturing firms. Companies are differentiated according to their growth expectations and the behaviors of firms that have export growth expectations are compared to the behavior of firms that do not anticipate export growth. The authors suggest that the export growth expectations of a firm shape its behavior in terms of contact activities and its perceptions of export problems. Recommendations are made regarding the use and helpfulness of outside information sources.

This paper examines the role played by business cluster ecosystems and intellectual capital (IC) in achieving high-growth firm (HGF) status.

We draw our insights from the knowledge-based perspective and economic geography as a theoretical lens, which combined offer a more unifying understanding of how business cluster ecosystems and IC foster high growth entrepreneurship.

Drawing on a sample of 11,360 German incorporated firms across 80 clusters, we find that cluster ecosystems play a significant role in supporting firms to become HGFs. More specifically, being located in business clusters increases the likelihood of becoming HGFs by 2.2% to 4.49%. We also find that clusters with more productive firms in the ecosystems provide favorable conditions for member firms to achieve HGF status, while the impact of other cluster-specific conditions (high-tech cluster membership and multinational enterprise share in clusters) is less clear. Additional insights suggest that firm IC (investments in intangible assets) enables firms to achieve high growth status.

The findings of this paper hold theoretical and managerial relevance and shed more light on the impact of cluster-specific factors in the ecosystems and firm IC in achieving high growth entrepreneurship.

This paper is among the first of its kind to bring together three distinct literatures (HGFs, business clusters and IC) and utilize insights from each to derive a conceptual framework that links them in explaining high-growth entrepreneurship.

This study analyses the way various components of intellectual capital (IC), namely, human capital (HC), structural capital (SC), relational capital (RC) and innovation capital (INNC), act as mediators in the relationship between managerial ability (MA) and a firm’s ability to achieve growth.

This study employs data envelopment analysis to quantify the MA of 825 Taiwanese listed electronics companies from 2017 to 2022. The proxies of firm growth are return on asset growth, operating income growth and total asset growth. This study then utilises a three-step mediation analysis methodology to examine the relationships between MA, IC and firm growth.

Findings indicate that HC, SC, RC and INNC mediate the link between MA and firm growth. This suggests that competent managers can capitalise on the potential benefits of these investments to achieve firm growth.

Competent managers can utilise different IC investments to grow the financial performance and strength of their businesses. Managers should continually scan, secure opportunities and adjust their investments in knowledge assets in accordance with the dynamic capabilities view. That is, managers, in general, and operations managers, in particular, can implement guidelines that prioritise IC investments in the future to expedite firms’ development.

This study extends the existing frameworks that study investment variables as mediators between MA and firm outcomes. Most particularly, this study adopts four components of IC for measurement. Moreover, firm performance is measured using dynamic growth indicators rather than static measures.

This paper investigates the influence of intellectual capital (IC) efficiency and its components – human capital efficiency (HCE), structural capital efficiency (SCE) and capital employed efficiency (CEE) – on the growth paths of small and medium-sized enterprises (SMEs) and their likelihood of becoming high-growth firms (HGFs).

Drawing on the resource-based view (RBV), our study reveals a positive relationship between IC efficiency and the likelihood of becoming HGFs. Using a longitudinal dataset of 554,076 firm-year observations corresponding to approximately 79,158 European SMEs from 2012–2019, our study employs probit regression to examine the impact of IC efficiency on the probability of becoming an HGF. To investigate the impact of IC efficiency across the growth rate distribution, we conduct further analyses via generalized least squares.

The results show that IC efficiency positively influences the growth paths of small entrepreneurial ventures and their likelihood of experiencing high-growth episodes.

For practitioners, the findings underscore the importance of investing in IC to enhance the growth process of entrepreneurial firms and increase their likelihood of achieving HGF status. Investments in IC can maximize growth potential and competitiveness, informing strategic decision-making.

Policymakers should consider the critical role of IC in promoting SME growth and formulate policies that encourage the development of IC among entrepreneurial firms. Such initiatives can stimulate economic growth, innovation and job creation across European economies.

This study contributes to the literature by focusing on entrepreneurial firms and examining how IC efficiency drives their transition to HGF status. This study provides empirical evidence across several European contexts over an extended period, emphasizing the role of IC efficiency in shaping the growth paths of entrepreneurial firms.

Building upon the framework of the tradeoff model of capital structure and motivated by the equity market timing theory, we examine whether equity misvaluation is a source of adjustment “costs” that will affect a firm’s leverage adjustment speed toward target. We also investigate whether the quality of a firm’s long-term growth options will influence the decisions of managers to exploit the mispriced equity to converge to the optimum. Using a sample of listed Taiwanese firms during 1992–2014 and employing the market-to-book decomposition as developed by Rhodes-Kropf, Robinson, and Viswanathan (2005), we find that overleveraged and overvalued firms demonstrate faster adjustment speed than overleveraged but undervalued firms. Furthermore, controlling for the misvaluation status, high-growth firms converge to target faster than their low-growth counterparts. The effect of growth options on the relation between equity mispricing and adjustment speed does not mirror the effect of financing deficits. With the detailed financial information of the local companies across a rather long time series, this study provides incremental inputs to the literature of capital structure from the determinants of target leverage, the estimation of leverage adjustment speeds, to the identification of the sources of adjustment costs in an emerging market where institutional environment is strikingly different from the US.

This paper investigates how various emergent theoretical perspectives in entrepreneurship research, representing diverse decision-making logics, influence firm growth and evolution. It explores the interaction among decision-making logics, including experimentation, affordable loss, flexibility and pre-commitment as components of effectuation, alongside causation and bricolage and their synergistic effects on firm growth.

This study uses a multi-phase, discovery-oriented approach. Initially, insights from existing literature on decision-making logic were combined with in-depth interviews with 10 Iranian entrepreneurs within the food sector. This phase used alternative template research to evaluate the principles of effectuation, causation and bricolage within case study data depicting firm growth. Subsequently, a self-administered survey was developed based on these insights and distributed to 205 entrepreneurs in Iran. The survey data was analysed using fuzzy-set qualitative comparative analysis (fsQCA) to identify key factors and pathways influencing firm growth.

Using a discovery-oriented approach, this study formulates a comprehensive framework detailing decision-making logics that influence firm growth. Through fsQCA, 12 distinct paths are identified, highlighting the complex interplay of causation, effectuation and bricolage in high-growth firms within the food sector.

This study has limitations. FsQCA identifies only logically sufficient combinations, suggesting potential for exploring alternative pathways in future research. Given COVID-19’s impact on the food sector, examining decision-making logic across diverse contexts and industries is advisable. Additionally, exploring how bricolage, causation and effectuation affect outcomes like new product development and innovation is essential in a growth-focused context. It is also important to consider environmental and organizational factors influencing growth.

This paper pioneers the examination of emerging theoretical paradigms in entrepreneurship and their impact on firm growth. It identifies critical configurations of causation, effectuation and bricolage, providing actionable insights for navigating dynamic business environments.

Current gazelle and high growth firm (HGF) research provides relatively little systematic knowledge if, how, why firm internationalization facilitates accelerated growth. This chapter aims at providing such an insight by addressing the following three questions: (1) What is the evidence of internationalization as an determinant of HGF; (2) How does internationalization facilitates fast growth?; (3) What do we know about the circumstance under which internationalization contributes to HGF? The chapter concludes that while there is clear evidence that internationalization and its different modes can be important determinants of accelerated firm growth, our knowledge remains limited on how different circumstances of the firm at the micro-, meso- and macro-level interact to condition growth opportunities through internationalization.