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This multiple case study research aims to identify the characteristics of scaling up SMEs in Chile for exploring how and why some entrepreneurship in the information technology (IT) sector are able to scale up and develop sustainable strategies, based on three consecutive years. The average sales of the companies during the last period analysed was around US$1,323,579, with an average annual growth rate of 66.7%. Scaling up SMEs may require several attributes to achieve positive revenue and develop effective high growth rates that allow them to succeed over several years.

To discern the phenomenon of entrepreneurship, the methodology of multiple case study research was conducted in three parts. The first was to define and design the research process, in which the study should settle the theory analysis and then show that research propositions and questions. The second part of the research was to prepare, collect and analyse the data through crafting instruments and data collection protocols as a source of evidence to conduct the pilot and multiple case study. In this stage, interviews were scheduled, transcribed, analysed and coded to explore how individual attributes may create a scaling-up entrepreneurial process for maintaining or developing high performance in the IT sector. The last part of the research concludes and validates the research propositions for the identification for potential attributes, which were obtained during the qualitative study.

Attributes were selected when 13 or more SMEs reported the importance of this initiative for the process of scaling up their SMEs. As a result of the data analysis, the empirical findings suggest on the importance of the academic background, budgetary control, negative entrepreneurial experiences, building teams, geographical expansion and first critical experience as key attributes for scaling-up. Additionally, the data propose that constructive entrepreneurial ecosystem and reforms financing markets and programmes are two additional components that could moderate the interaction between the scaling-up process and the achievement of rapid sales results as a key outcome measure.

The first limitation was the lack of consensus on the phenomenon of the scaling up of entrepreneurship. Information in Latin America and emerging countries is scarce, which also represents an opportunity for other researchers to deepen and validate the results reported here. Even though it was an attempt to understand the issue of environmental change, this additional limitation did not allow the evaluation of these adjustments over time that can positively or negatively drive the strategies corresponding to the evolution in each of the moderator variables.

Because of the characteristics of the sample in terms of size of the SMEs, industrial sector, location, culture, socio-economic environment and years of establishment of the company, the study cannot be generalised in terms of other industrial sectors or countries. The results of this research are also limited to SMEs in Chile, and to the extent that it can be applied to emerging countries IT sectors with similar sample characteristics, it must be done so with caution. Yin states that eight cases “are sufficient replications to convince the reader of a general phenomenon”.

Policymakers have the option to identify what skills and knowledge the entrepreneur requires to be trained to scale up their established ventures. In this context, they will also benefit from the empirical contribution of knowing what the restrictions that limit this process are, such as adverse tax systems and public strategies. Additionally, it is of public interest because no national records exist on the presence of theoretical terms.

Even though the literature promotes the present findings, it shows that there is an absence of empirical evidence in emerging economies to better comprehend which factors may affect the development process of scaling up entrepreneurship in the IT sector. Both deliberate and emergent strategic initiatives are necessary for the scaling-up process where six critical factors are the basis of the scaling-up. This empirical contribution for entrepreneurs will support the achievement of rapid and sustained sales results for scaling up their ventures.

This paper aims to explore the moderating effect of human capital in the form of a CEO’s educational background and firm age at the time of internationalization on growth and survival.

The research study is based on primary data gathered from 102 internationalized small and medium enterprises (SMEs) belonging to the engineering industry in Bangalore district, Karnataka, India.

The results reveal that human capital significantly improves sales growth but had no impact on the survival of internationalized SMEs.

The paper includes practical implications for the CEOs of SMEs to successfully strategize their efforts towards growth and survival in the international market.

This research study enhances the importance of human capital and its impact on the growth and survival of internationalized SMEs in the context of an emerging economy where research studies are limited and largely unexplored till date.

According to the Government of India’s Ministry of Labour and Employment Report (2015), almost 90% of the Indian workforce can still be categorized as informally employed, generating approximately 50% of the national product. Challenges with data availability have made a rigorous analysis of the informal economy in India often difficult and inadequate for policy formulations. This study aims to fill the gap by providing an empirical analysis of the informal economy in India using micro-data from the World Bank’s Informal Enterprise Surveys.

The authors contribute by empirically testing the association between the adoption of digital technology (payments) and firm performance proxied by firm sales. Matching models are used to mitigate sample selection bias arising out of simultaneous sample selection.

The results suggest that the participation in digital platforms, namely, use of digital payment instruments, is associated with higher sales for firms. The results of this study also show that adoption of digital payments helps in both situations – whether a firm has been using digital technology or has just started using it since the outbreak.

More in-depth data over time, spanning across more cities of India, is needed to conduct a further detailed investigation.

The results should allow policymakers in India to reconsider youth-centric and women-centric business needs, even within the informal sector, which does not often enter the purview of the government but remains responsible for the growth and sustenance of 90% of the country’s workforce. If further research on this issue could engage with the impact of demonetization of currency in 2016 as a lagged shock on sales and reestimate subsequent growth, it would perhaps offer a wider spectrum of how the performance of the informal economy in India affects the entire economy, which has over the last four years and before the onset of Covid reported slower growth.

Productivity is measured in terms of sales of informal firms in India in a regular month or in recent period like last month. Adoption of technology such as making payments using digital platforms can enhance productivity of firms by lowering standard transaction costs and time spent for visiting banks or financial institutions. Albeit not extensively, the literature has investigated digital technology adoption in the context of firms achieving comparative advantage (D’Ippolito et al. 2019; Scuotto et al. 2017), firms generating value creation (Magistretti, Dell’Era and Petruzzelli, 2019), and in helping with strategic initiatives and agility of firms (Ghezzi and Cavallo, 2018; Piccoli and Ives, 2005). Nonetheless, it would incur certain fixed costs, including acquiring skills and awareness, to manage digital platforms. In addition, physical access to instruments such as smartphones or computers and internet connectivity are prerequisites for productivity enhancements. Firms belonging to the informal sector in India generally face these challenges but may also benefit significantly following successful adoption. To the best of the authors’ knowledge, this is the first study to conduct a preliminary empirical analysis of the impact of digital technology adoption on the performance of informal sector firms in India.

The authors explore how did the COVID shock hit European firms at the upper quantiles (high-growth superstars) and the lower quantiles (rapidly declining firms).

The authors analyze the European Investment Bank Investment Survey (2016–2020). This exploratory paper applies graphical techniques and quantile regression to evaluate the COVID shock along the growth rates distribution.

Regarding growth of sales and growth of value added, COVID had a negative effect on growth across the growth rates distribution. The negative COVID effect is larger at the lower quantiles. Employment growth shows no effect for many firms that have zero employment growth, but at the extreme quantiles, the authors can observe that some declining firms were adversely affected by COVID. For labour productivity growth, the COVID effect is small. Analysis of subsamples, and quantile regressions with interaction terms, emphasize that firms receiving policy support were relatively strongly affected by COVID, consistent with interpretations that COVID policy support was reaching the intended recipients. Finally, fully digitalized firms may have been somewhat shielded from the harmful effects of COVID.

First, previous studies have focused on the average effect of COVID on the growth performance. Our research contributes to understanding how the COVID shock affected the entire growth rates distribution, ranging to high-growth firms and declining firms. Second, governments devoted financial support to firms. Our analysis explores if COVID policy support was given to companies more affected by this shock. Third, previous digitalization may have boosted resilience by shielding firms from COVID’s harmful effects on firm growth.

This paper aims to examine the customer-based and supplier-based trade credit gaps for USA firms from 1970 to 2020.

The authors' study examines USA companies from 1970 to 2020. The authors begin with an analysis of the trends in aggregate working capital, the capital's components and the trade credit gaps. Various regression models are used to estimate the impacts of identified firm characteristics and unidentified sources on customer-based and supplier-based trade credit gaps over time. The authors then decompose the impacts of firm characteristics to further understand whether changing firm characteristics and/or changing sensitivity to firm characteristics drive the variation in trade credit gaps.

There is a gradual reduction in the customer-based trade credit gap and a substantial expansion in the supplier-based trade credit gap. Though identified firm characteristics have dominant impacts on observed trade credit gaps, there is evidence of the effects of time and unobservable factors. The main source of changes in customer-based and supplier-based trade credit gaps lies in changes in sensitivity to firm characteristics. In addition, the authors find that firm age is the factor with the largest average effect on both trade credit gaps when examining the full sample period. However, different firm characteristics appear to be the key driver of variations in trade credit gaps over time and across the two types of trade credit gaps. The authors also find that financial distress has the least impact on both customer-based and supplier-based trade gaps. There are variations in the firm characteristics with the largest impacts when evaluating decade-long evaluation periods.

To the authors' knowledge, this is the first paper to examine the customer-based and supplier-based trade credit gaps. The connection between trade credit and the trade credit's corresponding inventory (INV) component extends prior literature on the joint management of trade credit and INV. The authors analyze both identified firm characteristics and unidentified sources in the search for explanations of the trade credit gaps. Furthermore, the authors' study explores the channels through which firm characteristics affect different types of trade credit gaps. The authors' findings help identify relevant and irrelevant risk factors of corporate working capital policy.

Financial constraints limit firms' ability to invest in working capital, which results in opportunity costs from lost sales or stockouts. The author examines initial public offering (IPO) firms' working capital management and build on the idea that newly listed firms experience a liquidity shock that allows them to invest more in working capital.

The empirical results are based on a sample of European IPO firms matched with comparable non-IPO firms; the author uses the generalized method of moments panel-data regressions to test the hypotheses.

The author observes that IPO firms increase their inventories-on-sales ratio, accounts receivable-on-sales ratio and operating working capital after the IPOs, which is consistent with the idea that going public relaxes financial constraints and allows firms to adopt more conservative working capital management practices. The observed results are stronger for smaller firms and zero-debt firms, which are the most financially constrained firms.

The study shows that working capital requirements can be financed via equity and not only via debt, and can even motivate the decision to go public for financially constrained firms.

The purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.

The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).

The study found that GFs prediction probability is low. In their second and third stages of evolution (initial growth and continuing growth), the gazelle growth effects appear. They are more effective in terms of profitability and turnover due to increasing sales and size.

This study shows that stakeholders should give preference to GFs that demonstrate long-term (steady) growth. Such firms are more efficient and financially stable than firms with high short-term growth.

The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.

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.

This study aims to study research on franchise chain performance that has focused on franchisors’ efforts to align their interests with those of franchisees to address partner uncertainty. In contrast, the question of what a franchisor should do to address another type of uncertainty and task uncertainty remains understudied. The authors suggest a franchisor’s coordination as a key means of alleviating task uncertainty and ongoing support and plural form as two mechanisms of coordination. The authors also posit that aligned interests between the franchisor and the franchisee improve, whereas one-sided interest impedes, chain performance. Furthermore, providing greater ongoing support or deploying plural form amplifies the positive effect of aligned interests on chain performance.

The authors relied on secondary data to test the hypotheses. The authors collected data for analysis from Bond’s franchisee guide and Nation’s Restaurant News restaurant database. They also tested the framework by analyzing 17-year, panel data of 71 restaurant chains operating in the USA and Canada using system generalized method of moments.

Results show that aligning interests does improve chain performance, but that the positive effect is amplified when aligned interests are matched with a chain’s provision of ongoing support or use of plural form.

The authors explicate why it is not enough to address the misaligned interests or lack of coordination alone; a chain manager needs to address both of these problems together. In addition, the authors explicate how two franchisee coordination mechanisms – ongoing support and plural form – help a chain augment the beneficial effect of aligning interests on chain performance. Without solving the twin problems of misaligned interests and coordination simultaneously, a chain is unlikely to achieve its full performance potential.

Irrespective of the importance of collective job crafting for team performance, its antecedents have not been fully comprehended. Drawing upon social cognitive theory, this study proposes that sales managers’ charismatic leadership interacts with collective proactive personality in predicting collective job crafting, which in turn influences sales teams’ customer relationship performance and financial performance.

Data were collected from 481 sales employees and 64 sales managers from 64 sales departments of tour companies. These multi-source data were analyzed through structural equation modeling.

The findings revealed that charismatic leadership was positively associated with sales teams’ collective job crafting, which was in turn positively related to sales teams’ customer relationship performance and financial performance. Collective proactive personality negatively moderated the impact of charismatic leadership on collective job crafting.

This study advances the extant knowledge by identifying the role of collective job crafting in translating charismatic leadership into sales teams’ performance.