Il crowdfunding come forma alternativa ed innovativa al finanziamento di una start-up: il caso Look Ahead

Il seguente percorso di tesi si articola in due parti. Nella prima si andranno ad illustrare le varie possibili fonti di finanziamento alle quali uno o più imprenditori potranno rivolgersi nella creazione di una nuova impresa, con una attenzione particolare a quello che è il crowdfunding, o finanziamento collettivo, considerato una alternativa valida e innovativa alle forme tradizionali per raccogliere i capitali necessari. Nella seconda parte sarà presentata la startup italiana Look Ahead, di cui il sottoscritto ne rappresenta una delle menti, come esempio di una startup che ha scelto di usufruire di questo particolare tipo di finanziamento. In particolare, ne sarà ricostruito l’intero Business Plan redatto in sede accademica, in modo da mettere in evidenza le caratteristiche del prodotto offerto, il segmento di mercato servito, il modello di business e l’analisi finanziaria.

La diffusione delle start-up eco-innovative in Emilia-Romagna

Il mio elaborato ha come scopo quello di creare un quadro della situazione regionale dal punto di vista delle start-up eco-innovative. Per fare questo ho utilizzato un sito/piattaforma internet contenente il registro delle start-up innovative in Italia. A partire da tale supporto ho analizzato 700 start-up situate nella regione Emilia-Romagna. Tra queste, ho individuato 78 start-up eco-innovative. Lo studio vuole comprendere le tendenze e la diffusione di tali start-up, studiandone, nell' ordine, la distribuzione geografica, l’inizio delle attività, il codice Ateco, la tecnologia OECD di riferimento. Con questo studio si arriverà poi in definitiva a capire quanto l’ambito della Green Economy sia diffuso in Emilia-Romagna.

Start-up e green economy. Un’analisi delle regioni italiane

Questa tesi si pone l’obiettivo di fornire un quadro generale relativo allo stato della Green Economy in Italia, riservando particolare attenzione alle start-up innovative e all’eco-innovazione, per poi passare ad una analisi particolareggiata delle start-up innovative di Marche, Umbria ed Abruzzo attive nel campo dell’ economia verde. Nel realizzare questo approfondimento ho raccolto, catalogato e rielaborato informazioni presenti nella sezione speciale del Registro delle Imprese dedicata alle start-up innovative. Si è trattato di selezionare le imprese green dall’universo delle start-up innovative di Umbria, Marche ed Abruzzo raccogliendone le informazioni più significative (Nome, Provincia, inizio attività, codice Ateco, requisiti d’innovazione, eventuale alto valore tecnologico in ambito energetico, dimensione economica, caratteristiche della risorse umane e mission dell’impresa) creando un dataset tramite un foglio excel. Terminata la fase di raccolta e catalogazione di dati è cominciato il lavoro di analisi che ha condotto allo studio riportato nella tesi. Nel riportare e commentare le informazioni raccolte mi sono avvalso dell’ausilio di grafici.

Valoración de una Start-up de tecnología

Este documento expone la importancia del ejercicio de valoración como herramienta para la construcción de las proyecciones y la planeación financiera de una empresa en etapa temprana, al tiempo que prueba el método de flujos de caja con tasa de descuento ajustada al riesgo, como la metodología más recomendada por expertos, en la valoración de nuevas empresas (startups), y valida la marginalidad de la información contable y financiera entre los emprendedores -- Busca soportar en un único documento, las decisiones de inversión de financieros, prestamistas y emprendedores, en atención a la subjetividad con que muchos inversionistas valoran desde su percepción, el potencial de crecimiento, la generación de flujos futuros y/o el posicionamiento estratégico de las startup -- Como ya se mencionó, el método de Descuento de Flujos de Caja (DFC) será la metodología aplicada y analizada -- Entre otras ventajas, porque al estar basado en la generación de flujos a partir de los activos fijos, no se expone a percepciones del mercado ni a criterios no trasladables, en caso de una valoración por comparables -- El lector podrá constatar, y de acuerdo con la bibliografía consultada, que la metodología de DFC, no sólo es la más apropiada para la valoración de una startup, sino que dadas las circunstancias en cuanto a disponibilidad de la información, es obligatorio clasificarla, dentro de los métodos más sofisticados -- Finalmente, entre otras conclusiones, se hace énfasis en que el ejercicio de la valoración debe centrarse en identificar el potencial que tiene la empresa de convertirse en una entidad generadora de valor -- En tal sentido, el análisis se debe focalizar en el plan estratégico, que se espera desarrollar a corto, mediano y largo plazo, y en las acciones para alcanzar las metas planteadas -- No siempre la situación de la empresa ha de estar acorde con lo proyectado, se pueden presentar variaciones en el comportamiento financiero, adicionalmente, la demanda de capital líquido e inversiones en activos generan, en la mayoría de los casos, déficit en los flujos de caja producto de las dificultades de los emprendedores para garantizar dicha demanda de recursos

ACE research briefing paper 001 : the role of family in new business start-ups

This report uses data from the first two years of the CAUSEE study and focuses on the role of family in new business start-ups. While CAUSEE was not designed specifically to probe deeply into family matters the study does reveal interesting information on family orientated aspects including parental role models, family involvement on the start-up team, and family as a source of funding and advice. These findings can also be related to other information gathered as part of the comprehensive phone interviews that are used to gather the research data for CAUSEE. Furthermore we are also able to compare firm founders and 'Regular' nascent firm and young firm start-ups with their 'High Potential' counterparts in terms of their degrees of family involvement. Unless otherwise stated any differences or effects we comment on are 'statistically significant' at the five per cent level - that is, they are likely to reflect true differences or effects in the entire population of Australian start-ups.

Early stage start-ups : evidence from the Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE)

In this chapter, the picture of Australian small business is supplemented by using data from the Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE) . This data tracks large numbers of on-going business start-ups over time. The Australian Centre of Entrepreneurship Research at Queensland University of Technology collected data in four annual waves. (Wave 1 to Wave 4) from 2007 to 2011. CAUSEE allows the analysis of entrepreneurial entrants at two stages of development, i.e. nascent and young firms. Nascent firms are defined as firms in the process of being created, but not yet established in the market, and young firms are defined as having been operational for up to four years. An analysis of nascent firms provides unique insights, as no other known Australian database captures and follows the development of business start-ups at the pre-operational stage. In addition, the project captured judgment over samples of high-potential start-ups.

Global start-ups profile : one size fits all?

Our research aims to answer the research questions “How do we commonly describe the global start-ups profile as evidenced in prior inductive research?” and “Does this global start-ups profile can effectively explain phenomena in Australian global start-up firms?” We systematically review 29 global start-ups (144 firms) qualitative articles to understand descriptive definitions of global-startup firms. We then triangulate this finding with an Australian high-tech firm. Our contribution is to form a descriptive profile of global start-up phenomenon and raise interesting issues that have potentially fruitful findings for both research and practice. This profile might well be just a deviant from the traditional model that describes how firms establish their footprints, first in their domestic markets followed by moves into cross-border activities. Regardless, government agencies, consultants, and entrepreneurs need to understand the phenomenon. Thus we anticipate that this phenomenon will continue to provide interesting issues for pursuit, both by researchers as well as the practitioner community.

Market-pull and technology-push in manufacturing start-ups in emerging industries

Purpose - As traditional manufacturing, previously vital to the UK economy, is increasingly outsourced to lower-cost locations, policy makers seek leadership in emerging industries by encouraging innovative start-up firms to pursue competitive opportunities. Emerging industries can either be those where a technology exists but the corresponding downstream value chain is unclear, or a new technology may subvert the existing value chain to satisfy existing customer needs. Hence, this area shows evidence of both technology-push and market-pull forces. The purpose of this paper is to focus on market-pull and technology-push orientations in manufacturing ventures, specifically examining how and why this orientation shifts during the firm's formative years. Design/methodology/approach - A multiple case study approach of 25 UK start-ups in emerging industries is used to examine this seldom explored area. The authors offer two models of dynamic business-orientation in start-ups and explain the common reasons for shifts in orientation and why these two orientations do not generally co-exist during early firm development. Findings - Separate evolution paths were found for strategic orientation in manufacturing start-ups and separate reasons for them to shift in their early development. Technology-push start-ups often changed to a market-pull orientation because of new partners, new market information or shift in management priorities. In contrast, many of the start-ups beginning with a market-pull orientation shifted to a technology-push orientation because early market experiences necessitated a focus on improving processes in order to increase productivity or meet partner specifications, or meet a demand for complementary products. Originality/value - While a significant body of work exists regarding manufacturing strategy in established firms, little work has been found that investigates how manufacturing strategy emerges in start-up companies, particularly those in emerging industries. © Emerald Group Publishing Limited.

Investidor e investido : o processo decisório no matching entre venture capitals e start-ups no Brasil

O acesso ao capital por empreendedores em start-ups está tradicionalmente fundamentado na indústria de Venture Capital (VC). Nos países emergentes, incluindo o Brasil, foi somente na última década que essa indústria passou a ter uma importância relativa maior às outras fontes de capital disponíveis. Ocorreu que a indústria passou a contar com a migração de fundos estrangeiros tradicionais atraídos pelo potencial de crescimento, pelas oportunidades de novos negócios e incentivos governamentais nesses países. Dessa forma, pode-se considerar que o desenvolvimento da indústria de VC é algo relativamente embrionário no Brasil. Este estudo tem como objetivo principal identificar quais foram os fatores determinantes para que os investidores (Venture Capital) e os investidos (start-up) decidissem por desenvolver uma sociedade em determinado negócio, sob o contexto institucional brasileiro. A pesquisa qualitativa foi realizada pela abordagem exploratória, a partir de entrevistas em profundidade (quatorze, no total) com investidores e investidos brasileiros que já haviam realizado uma sociedade há até dois anos. As entrevistas totalizaram nove matchings, ou pares de investidores e investidos num negócio. Os resultados oriundos dessas entrevistas demonstraram padrões e processos muito similares aos estudados nos países em que essa indústria é considerada desenvolvida. Os dados demonstram, porém, que no Brasil, como em outros países emergentes, a questão do relacionamento entre investidor e investido representa o principal fator para a realização de um negócio entre as partes. Além disso, indica que o relacionamento interpessoal representa um peso maior quando comparado aos outros fatores identificados na pesquisa.

Mhealth entrepreneurship: an exploratory research for a managerial model for mhealth start ups in low and middle income countries

Since some years, mobile technologies in healthcare (mHealth) stand for the transformational force to improve health issues in low- and middle-income countries (LMICs). Although several studies have identified the prevailing issue of inconsistent evidence and new evaluation frameworks have been proposed, few have explored the role of entrepreneurship to create disruptive change in a traditionally conservative sector. I argue that improving the effectiveness of mHealth entrepreneurs might increase the adoption of mHealth solutions. Thus, this study aims at proposing a managerial model for the analysis of mHealth solutions from the entrepreneurial perspective in the context of LMICs. I identified the Khoja–Durrani–Scott (KDS) framework as theoretical basis for the managerial model, due to its explicit focus on the context of LMICs. In the subsequent exploratory research I, first, used semi-structured interviews with five specialists in mHealth, local healthcare systems and investment to identify necessary adaptations to the model. The findings of the interviews proposed that especially the economic theme had to be clarified and an additional entrepreneurial theme was necessary. Additionally, an evaluation questionnaire was proposed. In the second phase, I applied the questionnaire to five start-ups, operating in Brazil and Tanzania, and conducted semi-structured interviews with the entrepreneurs to gain practical insights for the theoretical development. Three of five entrepreneurs perceived that the results correlated with the entrepreneurs' expectations of the strengths and weaknesses of the start-ups. Main shortcomings of the model related to the ambiguity of some questions. In addition to the findings for the model, the results of the scores were analyzed. The analysis suggested that across the participating mHealth start-ups the ‘behavioral and socio-technical’ outcomes were the strongest and the ‘policy’ outcomes were the weakest themes. The managerial model integrates several perspectives, structured around the entrepreneur. In order to validate the model, future research may link the development of a start-up with the evolution of the scores in longitudinal case studies or large-scale tests.

The economic impact of high growth start-ups:understanding the challenge for policy in the UK

Objectives The creation of more high-growth firms continues to be a key component of enterprise policy throughout the countries of the OECD. In the UK the developing enterprise policy framework highlights the importance of supporting businesses with growth potential. The difficulty, of course, is the ability of those delivering business support policies to accurately identify those businesses, especially at start-up, which will benefit from interventions and experiences an enhanced growth performance. This paper has a core objective of presenting new data on the number of high growth firms in the UK and providing an assessment of their economic significance. Approach This paper uses a specially created longitudinal firm-level database based on the Inter-Departmental Business Register (IDBR) held by the Office of National Statistics (ONS) for all private sector businesses in the UK for the period 1997-2008 to investigate the share of high-growth firms (including a sub-set of start-up more commonly referred to as gazelles) in successive cohorts of start-ups. We apply OECD definitions of high growth and gazelles to this database and are able to quantify for the first time their number (disaggregated by sector, region, size) and importance (employment and sales). Prior Work However, what is lacking at the core of this policy focus is any comprehensive statistical analysis of the scale and nature of high-growth firms in cohorts of new and established businesses. The evidence base in response to the question “Why do high-growth firms matter?” is surprisingly weak. Important work in this area has been initiated by Bartelsman et al., (2003),Hoffman and Jünge (2006) and Henreksen and Johansson (2009) but to date work in the UK has been limited (BERR, 2008b). Results We report that there are ~11,500 high growth firms in the UK in both 2005 and 2008. The share of high growth start-ups in the UK in 2005 (6.3%) was, contrary to the widely held perception in policy circles, higher than in the United States (5.2%). Of particular interest in the analysis are the growth trajectories (pattern of growth) of these firms as well as the extent to which they are restricted to technology-based or knowledge-based sectors. Implications and Value Using hitherto unused population data for the first time we have answered a fundamental research and policy question on the number and scale of high growth firms in the UK. We draw the conclusion that this ‘rare’ event does not readily lend itself to policy intervention on the grounds that the significant effort needed to identify such businesses ex ante would appear unjustified even if it was possible.

Who you are and what you do:the role of entrepreneurial human capital in the demand and supply of external finance of high-tech start-ups

The existence of adequate financial capital at start-up as well as during the lifetime of a firm is considered to be vital not only for its survival but also for its effective trading and growth, as it can act as a buffer against unforeseen difficulties (Cooper, Gimeno-Gascon, & Woo, 1994; Chandler & Hanks, 1998; Venkataraman & Van de Ven, 1998; Cassar, 2004). Inadequate or inappropriate capital structure is often the most common reason for a large proportion of small business failures (Chaganti, DeCarolis, & Deeds, 1995).

Three essays on a longitudinal analysis of business start-ups using the Kauffman Firm Survey

This dissertation focused on the longitudinal analysis of business start-ups using three waves of data from the Kauffman Firm Survey. ^ The first essay used the data from years 2004-2008, and examined the simultaneous relationship between a firm's capital structure, human resource policies, and its impact on the level of innovation. The firm leverage was calculated as, debt divided by total financial resources. Index of employee well-being was determined by a set of nine dichotomous questions asked in the survey. A negative binomial fixed effects model was used to analyze the effect of employee well-being and leverage on the count data of patents and copyrights, which were used as a proxy for innovation. The paper demonstrated that employee well-being positively affects the firm's innovation, while a higher leverage ratio had a negative impact on the innovation. No significant relation was found between leverage and employee well-being.^ The second essay used the data from years 2004-2009, and inquired whether a higher entrepreneurial speed of learning is desirable, and whether there is a linkage between the speed of learning and growth rate of the firm. The change in the speed of learning was measured using a pooled OLS estimator in repeated cross-sections. There was evidence of a declining speed of learning over time, and it was concluded that a higher speed of learning is not necessarily a good thing, because speed of learning is contingent on the entrepreneur's initial knowledge, and the precision of the signals he receives from the market. Also, there was no reason to expect speed of learning to be related to the growth of the firm in one direction over another.^ The third essay used the data from years 2004-2010, and determined the timing of diversification activities by the business start-ups. It captured when a start-up diversified for the first time, and explored the association between an early diversification strategy adopted by a firm, and its survival rate. A semi-parametric Cox proportional hazard model was used to examine the survival pattern. The results demonstrated that firms diversifying at an early stage in their lives show a higher survival rate; however, this effect fades over time.^

Three Essays on a Longitudinal Analysis of Business Start-ups using the Kauffman Firm Survey

This dissertation focused on the longitudinal analysis of business start-ups using three waves of data from the Kauffman Firm Survey. The first essay used the data from years 2004-2008, and examined the simultaneous relationship between a firm’s capital structure, human resource policies, and its impact on the level of innovation. The firm leverage was calculated as, debt divided by total financial resources. Index of employee well-being was determined by a set of nine dichotomous questions asked in the survey. A negative binomial fixed effects model was used to analyze the effect of employee well-being and leverage on the count data of patents and copyrights, which were used as a proxy for innovation. The paper demonstrated that employee well-being positively affects the firm's innovation, while a higher leverage ratio had a negative impact on the innovation. No significant relation was found between leverage and employee well-being. The second essay used the data from years 2004-2009, and inquired whether a higher entrepreneurial speed of learning is desirable, and whether there is a linkage between the speed of learning and growth rate of the firm. The change in the speed of learning was measured using a pooled OLS estimator in repeated cross-sections. There was evidence of a declining speed of learning over time, and it was concluded that a higher speed of learning is not necessarily a good thing, because speed of learning is contingent on the entrepreneur's initial knowledge, and the precision of the signals he receives from the market. Also, there was no reason to expect speed of learning to be related to the growth of the firm in one direction over another. The third essay used the data from years 2004-2010, and determined the timing of diversification activities by the business start-ups. It captured when a start-up diversified for the first time, and explored the association between an early diversification strategy adopted by a firm, and its survival rate. A semi-parametric Cox proportional hazard model was used to examine the survival pattern. The results demonstrated that firms diversifying at an early stage in their lives show a higher survival rate; however, this effect fades over time.