What influences the speed of prototyping? An empirical investigation of twenty software startups

It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds, firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startups progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototypingComment: This is the author's version of the work. Copyright owner's version can be accessed at doi.org/10.1007/978-3-319-57633-6_2, XP2017, Cologne, German

Innovation Initiatives in Large Software Companies: A Systematic Mapping Study

To keep the competitive advantage and adapt to changes in the market and technology, companies need to innovate in an organised, purposeful and systematic manner. However, due to their size and complexity, large companies tend to focus on maintaining their business, which can potentially lower their agility to innovate. This study aims to provide an overview of the current research on innovation initiatives and to identify the challenges of implementing the initiatives in the context of large software companies. The investigation was performed using a systematic mapping approach of published literature on corporate innovation and entrepreneurship. Then it was complemented with interviews with four experts with rich industry experience. Our study results suggest that, there is a lack of high quality empirical studies on innovation initiative in the context of large software companies. A total of 7 studies are conducted in such context, which reported 5 types of initiatives: intrapreneurship, bootlegging, internal venture, spin-off and crowdsourcing. Our study offers three contributions. First, this paper represents the map of existing literature on innovation initiatives inside large companies. The second contribution is to provide an innovation initiative tree. The third contribution is to identify key challenges faced by each initiative in large software companies. At the strategic and tactical levels, there is no difference between large software companies and other companies. At the operational level, large software companies are highly influenced by the advancement of Internet technology. Large software companies use open innovation paradigm as part of their innovation initiatives. We envision a future work is to further empirically evaluate the innovation initiative tree in large software companies, which involves more practitioners from different companies

The impact of Digital Platforms on Business Models: an empirical investigation on innovative start-ups

Digital platforms have the ability to connect people, organizations and resources with the aim of facilitating the core interactions between businesses and consumers as well as assuring a greater efficiency for the business management. New business concepts, such as innovative start-ups, are therefore created based on innovation, scalability and the relationships within the community around them. The purpose of this work is to deeply understand the evolution of business models brought by innovative and dynamic companies operating through online platforms. In order to achieve the objectives set, an exploratory multiple-case study was designed based on in-depth structured interviews. The aim was to conduct a mixed analysis, in order to rely both on qualitative and quantitative data. The structured interview protocol was therefore designed to collect and then analyse data concerning the company profile and managers’ perspectives on the phenomenon of interest. The interview protocol was submitted in advance and then face-to-face interviews were carried out with the following professional figures: Chief Executive Officer (CEO), General Manager, Chief Technology Officer (CTO), Marketing Manager and Developers. Collected data were analysed and processed through the Canvas Business Model in order to clearly outline similarities and differences among the sample. Results can be considered under two viewpoints. On the one hand, this work provides a detailed overview of the companies interviewed, according to the dimensions of: reference market dynamics, type and number of customers, scalability. On the other one, they allow to identify some success patterns regarding key activities, key resources, channel mix strategy, costs management, value proposition, customer segmentation, key partners and the way to obtain revenues. Results from the multiple-case study with 15 Italian start-ups provide interesting insights by comparing the innovative business models developed and highlighting key differences and similarities. verall, the start-ups analyzed, operating in several sectors, showed great growth prospects and the possibility to create value for their customers through innovative products and services offered through digital platforms

Startups and Stanford University

Startups have become in less than 50 years a major component of innovation and economic growth. Silicon Valley has been the place where the startup phenomenon was the most obvious and Stanford University was a major component of that success. Companies such as Google, Yahoo, Sun Microsystems, Cisco, Hewlett Packard had very strong links with Stanford but even these vary famous success stories cannot fully describe the richness and diversity of the Stanford entrepreneurial activity. This report explores the dynamics of more than 5000 companies founded by Stanford University alumni and staff, through their value creation, their field of activities, their growth patterns and more. The report also explores some features of the founders of these companies such as their academic background or the number of years between their Stanford experience and their company creation

New quality of financial institutions and business management

Economic processes in the world are characterized by a high level of dynamism, change and innovative approaches to addressing key issues in nowadays. In a context of globalization and European integration of Ukraine into a high-tech competitive environment in order to financing innovative projects, it is necessary to use Blockchain technology as an effective tool for digital economy. Purpose of scientific research is to find out key priorities and functionalities of Blockchain’s application for solving business and government tasks. The object of scientific research is the latest financial technology Blockchain and a system of cult-technologies: crowdsourcing, crowdfunding, crowdinvesting. Methodology. In the process of re-search, the following methods are used: generalization – in studying the nature, pre-conditions and principles of Blockchain technologies; formalization – when compar-ing characteristics of the latest forms of financing, such as crowdsourcing, crowd-funding, crowdinvesting. In the course of scientific research, key qualitative charac-teristics of digital economy are described and the dominant components of its devel-opment are investigated. The result of the article. The priorities, new principles of business management and possibilities of Blockchain technology as an effective digi-tal economy tool for solving business and government tasks are revealed. Future pro-spects from the implementation of crowd-technologies as an effective management tool in progress for solving the problems of innovative business are substantiated. Interconnection in the latest financial institution of creative initiatives realization is presented. The comparative analysis of management of new institutes of innovative development for Ukrainian economy in the course of doing business is carried out. The result of the research is presentation of the relationship in the latest financial in-stitution implementing creative initiatives and a comparative analysis of new insti-tutes of innovative development in the sphere of finance for the Ukrainian economy. Practical implications. The components of digital economy identified by the authors in the article are accelerators of the socio-economic life of Ukrainian society in the modern world and are capable of rapidly increasing Ukraine’s GDP. The described new forms of financing of Ukrainian start-ups (crowdsourcing, crowdfunding, crowdsourcing) are today quite interesting and effective tool for solving business problems in the financial, economic, innovative, marketing and marketing spheres. Value/originality. Blockchain technology, as an effective tool for Ukraine’s digital economy, is able to address the challenges of business and government, uncover the relationship between crowdsourcing, crowdfunding, crowdsourcing, and explain the content of innovative financial institutions for Ukraine’s economy