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The current paper extends previous studies on the match between CEO and firm and explores whether certain characteristics of young CEOs make them more desirable to young firms. Results in this paper will provide useful information to startup companies when they need to find managers leading the firms.

This study use a large sample of panel regression to study the match between CEOs and firm via a difference-in-differences approach.

The author finds that young firms hire a disproportionately higher percentage of young CEOs than established firms. Young firms led by young CEOs exhibit higher growth rates in sales and assets and invest more in capital expenditure and R&D activities than similar firms led by older CEOs. Young CEOs in young firms also receive higher compensation than both older CEOs working in young firms and young CEOs working in established firms.

There are many studies examining how CEO age affect their decision-making process. There are also many studies examining the differences between young firms and established firms. However, there is no study so far examining the intersection of the two questions above. Specifically, whether the differences between young vs established firms make certain characteristics of young CEOs beneficial to young firms.

Considering that entrepreneurial orientation (EO) and market orientation (MO) are antecedents of firm performance, and that technological turbulence (TT) and competitive intensity (CI) are present in different degrees in the business environment, the purpose of this paper is to address the following question in the context of young ventures: What is the contingent effect of TT and CI on MO–performance and EO–performance relationships?

This paper follows a deductive research approach. First, the literature on strategic orientation, opportunities, and dynamic capabilities (DCs) view are reviewed to formulate hypotheses. Then moderated hierarchical regression analysis is used on data collected from entrepreneurs/top managers of a multi-country (India and the UK) sample of young ventures.

The results of this study provide empirical evidence to the argument that both EO and MO, when looked from the universal approach, positively affect young ventures’ performance. The results show that young venture should consider environmental contingencies while choosing a strategic orientation. For resource-starved young ventures, EO is beneficial when the environment is intensely competitive, and MO is advantageous when the environment is technologically turbulent.

This study relies on the literature on opportunities and DCs view to arrive at hypotheses specific to young ventures. The paper empirically tests the assertions, finds support for the majority of them and reports unbiased estimates of the coefficients. It also clarifies the contrary observation made by some researchers in their study of orientation–performance relationship.

While the importance of “science and technology-based innovation” (STI) and “doing, using and interacting-based innovation” (DUI) innovation modes in firm innovation performance has been well-established, little is known about how they affect the innovation performance of young firms. The author examines the most effective innovation mode and boundary conditions for the innovation performance of developing companies.

The author tests the two modes of innovation using data from 159 young firms in China.

The author’s analysis indicates that a higher level of DUI innovation mode is more relevant to the innovation performance of newly established enterprises. Moreover, the effectiveness of the innovation mode is bound by the networks in which the company operates and interacts. The effectiveness of STI and DUI innovation modes is enhanced when there are high levels of innovation and business network interconnectedness from the technology network partner.

These findings have important implications on innovation research as they highlight the joint effects of innovation modes and quality of network ties on young firms seeking to improve their innovation performance.

STI and DUI innovation modes represent different forms of innovation activities that may affect the knowledge and resources of young firms used to improve innovation performance. Knowing this can help young firms to choose effective innovation mode.

This study makes three contributions. The first is to pay specific attention to the neglected topic of the influence of STI and DUI innovation modes on innovation performance of young firms. Understanding that the two innovation modes offer different methods of gaining knowledge and resources can help young firms choose an effective innovation mode for their business; Second, the author examines the boundary conditions of the effectiveness of innovation modes. Specially, the author examines the moderating role of external networks, which can help clarify conflicting results in this regard. 10;The third contribution is to investigate the importance of network relationships for innovation activities moving beyond the extent of network relationships to instead consider the ability of those relationships to expose a firm to innovative techniques and methods.

The purpose of this paper is to investigate whether new and young firms are different from older firms. This analysis is undertaken to explore general characteristics, use of external resources and growth orientation.

Data from the 2008 UK Federation of Small Businesses survey provided 8,000 responses. Quantitative analysis identified significantly different characteristics of firms from 0‐4, 4‐9, 9‐19 and 20+ years. Factor analysis was utilised to identify the advice sets, finance and public procurement customers of greatest interest, with ANOVA used to statistically compare firms in the identified age groups with different growth aspirations.

The findings reveal key differences between new, young and older firms in terms of characteristics including business sector, owner/manager age, education/business experience, legal status, intellectual property and trading performance. New and young firms were more able to access beneficial resources in terms of finance and advice from several sources. New and young firms were also able to more easily access government and external finance, as well as government advice, but less able to access public procurement.

New and young firms are utilising external networks to access several resources for development purposes, and this differs for older firms. This suggests that a more explicit age‐differentiated focus is required for government policies aimed at supporting firm growth.

The study provides important baseline data for future quantitative and qualitative studies focused on the impact of firm age and government policy.

This chapter presents research to assess the impact of the recent financial crisis on technology-based small firms (TBSFs) in the United Kingdom based on findings from an extended telephone survey with the owner-managers of 49 young and 51 more mature TBSFs, undertaken in 2010. Even before the onset of the global financial crisis in 2007, it was generally acknowledged that TBSFs faced greater obstacles in accessing finance than conventional SMEs. This is because banks have difficulty assessing the viability of new technology-based business ventures due to information asymmetries, whilst risk capital providers may have difficulty providing appropriate or sufficient funds on terms acceptable to entrepreneurs. Given the recent difficulties that SMEs, in general, have faced in obtaining external finance, we would expect TBSFs to have been particularly adversely affected by the financial crisis. Our evidence showed that TBSFs exhibited a strong demand for external finance between 2007 and 2010, related to their growth ambitions and achievements. They sought finance mainly from banks but also with younger TBSFs seeking business angel finance and more mature TBSFs seeking venture capital finance. However, our evidence indicates that both debt and equity finance became harder to access for TBSFs, particularly for early-stage and more R&D-intensive firms. Where funding was offered, it was often on unacceptable terms with regards to the levels of collateral or equity required. The chapter provides evidence of a growing funding gap and concludes that the ability of TBSFs to contribute to economic recovery is hampered by ongoing problems in obtaining external finance.

Extant literature highlights the inadequacy of using just four domains – leadership, strategy, structure, and environment – for identifying firms’ configurations. The purpose of this paper is to answer the questions – what firm-level and external elements should be used to identify young firms’ configurations? Which among these is the core element?

This paper relies on literatures on configuration approach and entrepreneurial orientation (EO) to build the assertions concerning the issue of theoretical specification used for generating young firms’ configurations, and its core element. Crisp-set qualitative comparative analysis (CS-QCA) of the data collected from 70 young firms supports the arguments. Various robustness analyses reaffirm these assertions.

Literature review reveals that EO represents a firm’s decision-making proclivity concerning new entry and proactive risk-taking. CS-QCA supports the assertions that: inclusion of EO improves the configurational explanation of young firms’ performance; EO is the core element of young firms’ configurations; and market orientation or social capital cannot substitute EO in configurational studies of young firms’ performance. CS-QCA serves as a tool to support an alternative theoretical stance that questions the adequacy of extant domains used to identify configurations.

This paper theorizes for inclusion of EO as an additional domain for identifying young firms’ configurations, and exploits novel capability of set theoretic methods of CS-QCA to explore the issues of model specification and conjunctural causation, and ascertain the core element of configurations.

Prior studies document that managers engaged in shifting of non-operating revenue to operating revenue (revenue shifting) and shifting of operating expenses to non-operating expenses (expense shifting (ES)) within income statement to report inflated operating profits of firms. This study aims to identify the factors affecting revenue shifting and ES.

The operating revenue model (Malikov et al., 2018) and the core earnings expectation model (McVay, 2006) are used for measuring revenue shifting and ES, respectively. The panel data regression models are used to analyze the data for this study.

The study results show that large and old firms are engaged in revenue shifting, whereas small and young firms prefer ES over revenue shifting for reporting inflated operating profits. These results imply that firms choose the shifting strategy based on relative advantage and ease in execution. The results are robust after controlling for accruals earnings management, real earnings management and endogeneity bias.

It suggests investors minutely investigate the operating performance metrics of initial public offering firms that are relatively small and young while buying their shares. Besides, findings suggest accounting standard setters make more mandatory disclosure requirements for recording expense and revenue items in the income statement to curb this corporate misfeasance of classification shifting.

This is among the earlier attempts to identify firm-specific factors that incentivize firms to prefer one form of shifting over another. Second, the study jointly examines both forms of shifting by taking a uniform sample of firms over the same period. Most of the prior studies have examined one form at a time.

The purpose of this paper is to empirically test whether a systematic relationship exists between firms’ level of entrepreneurial marketing (EM) behaviours and firms’ characteristics, including firm age, firm size and firm’s founder.

This paper quantitatively investigates EM behaviours from data collected from 752 business owners through structured interviews. The data analysis applied was multi-group confirmatory factor analysis (multi-group CFA).

Results from the analysis show that not all of the firms’ characteristics determine firms’ level of EM practice. The level of EM behaviours has a systematic relationship with firms’ age but not with the founding status of the firms’ manager. The impact of firm size on the level of EM behaviours is evident only when the firms’ age is taken into account.

This paper concludes that relationships between EM behaviours and firm characteristics are more complicated than anticipated. Firms’ characteristics alone may not be a good measure for identifying the level of a firm’s EM. EM cannot be conceptualized solely in relation to the activities of small firms, young firms or founder-operated firms.

This paper examines EM behaviours in a large survey and uses multi-group CFA to examine firms’ EM practice through latent variables, instead of observed variables. The findings should complement knowledge regarding the EM concept generated from existing literature.

The purpose of this study is to examine characteristics and factors affecting innovation in young and old family‐owned businesses. The research focuses on three important factors to innovation: organisation type, age and size; covering gaps in existing literature.

A postal survey of 500 small family‐owned businesses across sectors in the UK is conducted. The study uses regression analysis to test effects of environment, innovation strategy, family culture, family involvement, owners' background and learning on innovation in young and old family businesses as well as innovation effect on their financial performance.

The findings suggest social capital theory to be extended to include non‐family employees in the innovation process of family firms, and formal learning has a positive impact on young firms' innovation. Market condition, industry sector, business goal and long‐term orientation positively affect family firm innovation.

This paper makes valuable contributions to the understanding of theory and practices of innovation in family businesses. It has policy implications.

Young/small firms are often seen as acquisition targets, but rarely viewed as potential acquirers. However, in this study we found that one-third of the young ventures in our sample pursued aggressive growth though acquisition of their competitors. Furthermore, contrary to conventional wisdom, we found striking evidence that young firms pursuing growth via acquisition significantly outperformed their peers who pursued growth via internal development. Thus, growth via acquisition clearly represents a viable strategic option for young, small firms.