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Gazelle companies are characterized by rapid growth in a short time. Identifying the determinants of this exponential expansion is important as these firms have a significant impact on the economy. They generate increased employment and investment by investors interested in new opportunities. Previous studies have failed to reach a consensus about what fosters high growth in gazelle companies as each firm’s geographical, political and economic context is different. The present research uses cognitive mapping and interpretive structural modeling (ISM) to overcome the limitations of prior investigations and identify factors that can potentially accelerate growth in gazelle companies.

Two sessions were held with an expert panel with knowledge about and experience with these firms. In the first session, data were collected to create a group cognitive map, while the second meeting comprised ISM-based analyses of the high-growth determinants identified and the causal relationships between them. A final consolidation session was held to discuss the results with two members of the Committee for Central Region Coordination and Development (i.e. Comissão de Coordenação e Desenvolvimento Regional do Centro – a public entity that grants gazelle awards in Portugal).

The analysis system created was tested, and the results demonstrate that the dual methodology used can increase our understanding of the dynamics of high-growth determinants and lead to more informed and potentially better evaluations of gazelle companies. Indeed, once high-growth determinants in gazelle companies are understood, this information can help other firms implement the same business model to achieve similarly rapid growth. The strengths and shortcomings of this new structured analysis model are also analyzed.

The authors know of no prior work reporting the integrated use of cognitive mapping and ISM in this study context.

Corporate social responsibility (CSR) promotes society, reduces risk, and encourages ethical business practices. Due to its relevance, we study how CSR influences firms' sustainable development. We analyze data from 427 New York Stock Exchange (NYSE)-listed firms from 2008 to 2022. The Refinitiv environmental and social score is used to measure CSR, whereas for firms' sustainable development we rely on corporate sustainable growth rate (SGR) and market-based metrics. The analysis employs various econometric techniques, including ordinary least square, fixed effect regression, two-stage least square, generalized method of moment, and simultaneous quantile regression. The results indicate that CSR has a positive and significant effect on firms' sustainable development across all models. This relationship supports the notion that socially responsible business can contribute to long-term financial sustainability in line with “stakeholder theory”, indicating that companies should accommodate the concerns of various stakeholders, including society and the environment, to achieve sustainable development. We evaluate how the conditional distributions of SGR and firms’ value are affected by CSR, categorizing them into high, moderate, and low regimes. The quantile regression estimates indicate that the effect of CSR is more pronounced at upper quantiles, followed by moderate and low regimes. These findings underscore the importance of considering CSR in assessing the SGR and enterprises market value. We also confirm that our results are robust under range of different econometrics' methods. Finally, we enlighten current literature, and our research has useful policy implications for management and investors.

This paper provides a structural model to value startup companies and determine the optimal level of research and development (R&D) spending by these companies.

This paper describes a new variant of float-the-money options, which can act as a financial instrument for financing R&D expenses for a specific time horizon or development stage, allowing the investor to share in the startup's value appreciation over that duration. Another innovation of this paper is that it develops a structural model for evaluating optimal level of R&D spending over a given time horizon. The paper deploys the Gompertz-Cox model for the R&D project outcomes, which facilitates investigation of how increased level of R&D input can enhance the company's value growth.

The author first introduces a time-varying drift term into standard Black-Scholes model to account for the varying growth rates of the startup at different stages, and the author interprets venture capital's investment in the startup as a “float-the-money” option. The author then incorporates the probabilities of startup failures at multiple stages into their financial valuation. The author gets a closed-form pricing formula for the contingent option of value appreciation. Finally, the author utilizes Cox proportional hazards model to analyze the optimal level of R&D input that maximizes the return on investment.

The integrated contingent claims model links the change in the financial valuation of startups with the incremental R&D spending. The Gompertz-Cox contingency model for R&D success rate is used to quantify the optimal level of R&D input. This model assumption may be simplistic, but nevertheless illustrative.

Once supplemented with actual transaction data, the model can serve as a reference benchmark valuation of new project deals and previously invested projects seeking exit.

The integrated structural model can potentially have much wider applications beyond valuation of startup companies. For instance, in valuing a company's risk management, the level of R&D spending in the model can be replaced by the company's budget for risk management. As another promising application, in evaluating a country's economic growth rate in the face of rising climate risks, the level of R&D spending in this paper can be replaced by a country's investment in addressing climate risks.

This paper is the first to develop an integrated valuation model for startups by combining the real-world R&D project contingencies with risk-neutral valuation of the potential payoffs.

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 explores key factors influencing high-performing, sustained growth, high-tech small- and medium-sized enterprises (SMEs) in South Korea.

A qualitative study is adopted to explore seventeen founder owner-managers of high-tech SMEs who sustained consistent employment growth, greater than the industry average, for seven years. Within the sample, those with higher (10% or over) employment compound annual growth rates (CAGRs) over this period are also compared to those with lower rates.

The study suggests that proactive approaches, such as flexible organization, risk management, fast decision-making and international market entry, are seen as important contributing factors to sustained growth. These findings contribute to a better theoretical and empirical understanding of sustained high-tech SME growth, in a country with a strong entrepreneurial and internationally competitive information technology sector. Also, collaboration across the SME was perceived as making an important contribution to staff development and growth, consistent with stewardship theory.

The sample is based on successful high-tech SMEs, so there are limitations in extrapolating results to other types of firms, sectors or countries.

Key factors identified in this study can be considered by entrepreneurs seeking to achieve sustainable business. These also provide improved understanding for policymakers into the complexity of factors related to sustained and high growth of technology-based SMEs, which many countries are keen to foster to aid national economic growth.

The research provides new evidence exploring the diverse perspectives of founder owner-managers, on the sustained growth and failure in South Korean high-tech SMEs, and how these have changed since the inception of their business.

This study aims to investigate the tendency for firms, exhibiting an entrepreneurial spirit in their growth strategies, to engage in misconduct within the context of China's rapidly developing economy. The authors also examine how this relationship is influenced by governance mechanisms, specifically management shareholding and executive functional diversity. Furthermore, the authors explore the mediating roles of organizational complexity and performance pressure in linking entrepreneurial growth to firm misconduct. This research provides a novel perspective for understanding the impact of entrepreneurial growth on corporate ethical risks, and offers practical insights for maintaining ethical standards in firms during their pursuit of growth.

This study focuses on publicly traded, mature companies that exhibit an entrepreneurial inclination in their growth strategies, demonstrating entrepreneurial vigor through activities such as product innovation and market expansion. This exploration incorporates both theoretical and empirical approaches, scrutinizing A-share listed companies in China from 2008 to 2019. To validate the robustness of this study's findings, the authors have applied diverse methodologies such as propensity score matching, classification regression, and alternative indicator analysis.

This study found that the entrepreneurial growth-oriented strategy is positively related to firm misconduct. It also uncovers that governance mechanisms like management shareholding and executive functional diversity moderate this relationship. Moreover, organizational complexity and performance pressure partially mediate the relationship between an entrepreneurial growth strategy and firm misconduct.

For instance, more detailed categorization of corporate misconduct, based on punishment severity, could be explored. Additional characteristics like age, education, gender, and team/board diversity could help further understand the relationship between entrepreneurial growth strategy and misconduct. By addressing these limitations and exploring further avenues for research, the authors can deepen the understanding of this relationship and provide valuable insights for firms seeking to mitigate potential risks.

First, for regulators, shareholders, creditors and investors, knowing and understanding the relationship between growth-oriented strategies and corporate violations is helpful for them to scientifically evaluate the potential risks that may exist in the company, and can also carry out differentiated supervision on the company based on different types of company-oriented strategies. Second, when designing the corporate governance mechanism, listed companies should fully consider the role of management shareholding. Finally, executives should treat cross-functional experience dialectically, especially in growth oriented strategic companies.

This research provides a novel perspective for understanding the impact of entrepreneurial growth on corporate ethical risks, and offers practical insights for maintaining ethical standards in firms during their pursuit of growth.

This study stands out by examining the influence of entrepreneurial growth strategy on firm misconduct, thus enhancing previous studies that primarily centered on entrepreneurial start-ups. The authors offer a nuanced comprehension of the potential risks intrinsic to corporate entrepreneurship and highlight the crucial role of efficient governance structures in curbing corporate misbehavior while fostering entrepreneurial growth.

The purpose of this study is to explore the exogenous and endogenous drivers of the high-growth of Unicorn start-ups along their life cycle, with a particular focus on Unicorns in the fintech industry.

The study employs an explorative longitudinal analysis with a matched-pair of two cases of Unicorns start-ups with similar antecedent features to understand holistically drivers over the longer term.

High-growth patterns over the longer term are the result of a combined industry- and company-life cycle perspective. Drivers and growth patterns vary significantly according to the time of entry in the industry and its development status. The findings are systematised within a set of propositions to be tested in future research.

The limitations lie in empirical evidence, as the analysis is limited to one-matched-pair. The revealed Unicorns' drivers for long-term growth might encourage future research to further investigate these drivers on a larger scale.

The study offers practical recommendations for start-ups with high-growth ambitions and advice to policy makers regarding the development of tailor-made support programs.

The study significantly extends extant work on growth and high-growth by examining endogenous and exogenous triggers over time and by linking the Unicorn-life cycle to the industry life cycle, an approach which has, to the best of the authors’ knowledge, not yet been applied.

This case should facilitate participants to analyze the influence of internal and external factors on a growing company in the dairy, agro and food industries; analyze the drivers of a company’s competitive advantage; evaluate the relevance of the company in the new product-markets; and propose growth strategies for the expansion of the business beyond the core markets.

Gyan Dairy began its journey in 2007 and operated in the business-to-business segment by supplying skimmed milk powder and white butter to other dairy players. Then, the company launched its packaged milk brand in Lucknow – the capital city of Uttar Pradesh – one of the largest provinces in India. By the end of 2020, Gyan was the leading private dairy brand in Uttar Pradesh. The company’s vision was to become one of the top dairy brands in India by 2035. While deliberating on the growth choice, the company’s senior management debated whether to strengthen the company’s position in the existing markets or expand operations in adjacent locations. Increasing market share would have led to price wars or advertising costs. Diversifying into product categories involved the risk of product–market misfit and new product development and marketing costs. However, pursuing these options would further strengthen the company’s position in the North Indian market. Expanding into new locations would help establish the company’s presence across different parts of India. However, both these options were replete with various challenges. Expanding into new markets needed one of the promoters of the Gyan Diary, to relocate, build new markets and institutional connections and build a completely new localized economy of scale, which would create a financial burden on existing operations until the new operation was self-sustainable. However, in this journey, they would find and build a model to help expand their operations in other countries as well. Ideally, the company could pursue all the options, but this was not possible due to constrained resources.

This case allows students to discuss and evaluate alternate growth options associated with operationalizing the growth strategy choices in perishable branded food categories beyond existing markets and products. In addition, it also helps discuss how to arrive at such decisions after analyzing the focal firm’s market opportunities and existing capabilities. This case is helpful for the “growth strategy” module in the strategic management core course in a general MBA program and in specialized MBA programs in food and agri-business management.

This case is suitable for graduate-level courses on strategic management courses in general management programs and agri-business management programs. In a strategic management course, the case will help cover topics such as analysis of the internal and external environment of the firm and growth and expansion strategies. This case will help teach how to build competitive advantage in dairy and agro-food industries and the strategic analysis needed while pursuing growth decisions. Emerging markets, including India, are the growth markets for leading multinational companies in the food and dairy industries.

Teaching notes are available for educators only.

CSS 11: Strategy.

Few studies have conceptualized how companies can build and nurture international dynamic marketing capabilities (IDMCs) by implementing growth hacking strategies. This paper conceptualizes growth hacking, a managerial-born process to embed a data-driven mind-set in marketing decision-making that combines big-data analysis and continuous learning, allowing companies to adapt their dynamic capabilities to the ever-shifting international competitive arenas.

Given the scarcity of studies on growth hacking, this paper conceptualizes this managerial-born concept through the double theoretical lenses of IDMCs and information technology (IT) literature.

The authors put forward research propositions concerning the four phases of growth hacking and the related capabilities and routines developed by companies to deal with international markets. Additional novel propositions are also developed based on the three critical dimensions of growth hacking: big data analytics, digital marketing and coding and automation.

Lack of prior conceptualization as well as the scant literature makes this study liable to some limitations. However, the propositions developed should encourage researchers to develop both empirical and theoretical studies on this managerial-born concept.

This study develops a detailed compendium for managers who want to implement growth hacking within their companies but have failed to identify the necessary capabilities and resources.

The study presents a theoretical approach and develops a set of propositions on a novel phenomenon, observed mainly in managerial practice. Hence, this study could stimulate researchers to deepen the phenomenon and empirically validate the propositions.

The purpose of this paper is to investigate the impact of intellectual capital (IC) and its components (human, structural, relational and innovation capitals) on financial performance (FP) at different life cycle stages.

The study uses the data from Chinese manufacturing listed companies during 2014–2018. The modified value added intellectual coefficient (MVAIC) model is employed as the measurement of IC efficiency. Finally, multiple regression analysis is used to test the research hypotheses.

This study shows that the impact of IC on FP is different across life cycle stages. Specifically, at the birth stage, human capital (HC), structural capital (SC) and innovation capital (INC) have a positive impact on FP. At the growth and mature stages, all IC components contribute to FP improvement. HC and SC play an important role at the revival stage, while only HC positively affects FP at the decline stage.

The findings may help corporate managers to make optimal strategies to improve FP by effective utilization of IC resources in the complex and competitive business environment. Meanwhile, companies can invest in the core elements of IC at different stages of development, so as to maximize the contribution of IC to company value.

This is among the few studies to explore the impact of IC on FP of manufacturing listed companies in the Chinese context from the perspective of life cycle. It also makes novel contributions in measuring IC by the MVAIC model with the inclusion of relational capital and INC that are largely neglected in previous research.