Japan's Bioventures: Past, Present and Future

2014 ◽  
Vol 11 (05) ◽  
pp. 1450031
Author(s):  
Shiaw Jia Eyo

This paper reviews the creation and the development of biotechnology start-ups in Japan known as "bioventures". In the early 1990s, the Japanese government began to introduce new policies to promote the development of bioventures. Within the span of a decade, the number of bioventures grew five times. However, majority of them continued to operate at the seed or start-up stage. This paper seeks to explore the underdeveloped state of bioventures in Japan, based on the case study method which includes the use of interviews and reviews of several policies and regulations. This paper also compares the development of Japanese biotechnology industry with the biotechnology industry in the US and Europe. This paper concludes that the lack of a sustainable system of funding is the real issue hindering the development of bioventures in Japan.

1997 ◽  
Vol 15 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Patrick McHaffie

The current graphical rhetoric of advertising includes everything from images of the globe borrowed from the US space program (for example, Hewlett-Packard Corp. computer systems), to pseudotribal renderings of a very different sort [for example, Minute Maid's (The Coca Cola Co.) Fruitopia]. The use of these images are part of what Goldman calls the economy of ‘commodity signs’, where produced meanings are linked to commodities through the medium of the print or broadcast advertisement. The increased incorporation of global images in Western advertising presents an opportunity to analyze the ideological underpinning of the ‘new global economy’. The sheer volume of purchased advertising space places these often confusing images before our eyes at an increasing pace, producing meanings which tend to obfuscate and fetishize discourse related to globalism. A decoding of specific advertisements with the use of the Hewlett-Packard Corporation as a case study, juxtaposed against the real spatial practices of the company will reveal ruptures, contradictions, and incoherence in advertising messages which appropriate the symbolic power of global images.


2019 ◽  
Vol 20 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Junic Kim ◽  
Hwanho Choi

This research examines social media users’ value-creation processes and the drivers of a start-up company’s successful social media strategy. This research primarily aims to understand start-ups’ effective utilization of social media and value co-creation processes. Although utilizing social media has become key for many organizations, start-ups and small businesses often suffer from a lack of understanding and knowledge of the utilization of social media tools. Therefore, this article uses a case study on the relationship between a social media platform and users’ value co-creation to offer a conceptual framework for start-ups to consider in utilizing social media. Our research reveals that four core drivers of social media success include experience, satisfaction, expression, and sharing ability. Each of these drivers in turn contains conditions for understanding users’ value-creation process and the creation of drivers for successful social media strategies. The research contributes to literature by providing a detailed review of users’ value co-creation as a part of a start-up’s successful social media strategy.


2017 ◽  
Vol 20 (1) ◽  
pp. 135-152 ◽  
Author(s):  
Maarten J.G.M. van Gils ◽  
Floris P.J.T. Rutjes

Purpose The purpose of this paper is to clarify the relationship between start-ups and an innovation ecosystem. Start-ups need resources available in the ecosystem to grow, but experience organizational capacity limitations during their open innovation practices. This study frames the “open innovation” interface and discloses ways to accelerate the process of connecting start-ups’ demands to ecosystem’s supplies. Design/methodology/approach A case study was used to describe the development of a conceptual ecosystem model to frame the “open innovation” interface and its subsequent implementation at nine start-up hotspots in the Dutch chemical industry. To develop the ecosystem model, the system of innovation concept was enriched with the perspective of a chemical start-up to pinpoint critical resources for growth. Findings It is suggested that the most relevant “open innovation” interface for start-ups looking to grow is an innovation biotope: a well-defined, business-oriented cross-section of an ecosystem. All stakeholders in a biotope are carefully selected based on the entrepreneurial issue at stake: they can only enter the secured marketplace if they are able to provide dedicated solutions to start-ups. The biotope enables “open innovation in a closed system” which results in acceleration of the innovation process. Originality/value This is the first study to report on the definition and implementation of an innovation biotope as the “open innovation” interface between an ecosystem and start-ups. In addition, it provides a powerful tool, the ecosystem canvas, that can help both regional and national innovation systems to visualize their ecosystem and identify blind spots.


2021 ◽  
Vol 6 (3) ◽  
pp. 178-188
Author(s):  
Adhitya Prayoga Permana ◽  
Kurniyatul Ainiyah ◽  
Khadijah Fahmi Hayati Holle

Start-ups have a very important role in economic growth, the existence of a start-up can open up many new jobs. However, not all start-ups that are developing can become successful start-ups. This is because start-ups have a high failure rate, data shows that 75% of start-ups fail in their development. Therefore, it is important to classify the successful and failed start-ups, so that later it can be used to see the factors that most influence start-up success, and can also predict the success of a start-up. Among the many classifications in data mining, the Decision Tree, kNN, and Naïve Bayes algorithms are the algorithms that the authors chose to classify the 923 start-up data records that were previously obtained. The test results using cross-validation and T-test show that the Decision Tree Algorithm is the most appropriate algorithm for classifying in this case study. This is evidenced by the accuracy value obtained from the Decision Tree algorithm, which is greater than other algorithms, which is 79.29%, while the kNN algorithm has an accuracy value of 66.69%, and Naive Bayes is 64.21%.


Author(s):  
Dragana Popovic Renella ◽  
Vojin Senk ◽  
Fuada Stankovic

This is a study of the process of the development of high-tech start-up companies through the mechanisms of bootstrapping in two extremely different environments: the one of highly industrialized countries, such as USA and Switzerland; the other of Serbia, which is a post-communist transition country with particular difficulties. The research method is the analysis of case studies. One case study of US and two of Swiss start-ups build the base for the analysis. All three cases show common patterns: from the very beginning, these companies sell R&D services in their fields of expertise; and using the cash from these early sales, and the information feedback from cooperation with the early customers, they develop their resources and, eventually, also their own high-tech products. The essential feature of this process is the selling of R&D services and the first products in the neighborhoods. Then also two cases of high-tech start-ups from Serbia are analyzed. Both Serbian start-ups are founded in partnership with small high-tech companies from highly industrialized countries (Switzerland and Germany). The Western partners use their reputations and contacts to enable the early sales of the Serbian start-ups in the industrialized countries. This is crucial for the Serbian start-ups, because they have no domestic market for R&D services. Apart of this element, all other essential patterns of the Serbian cases are very similar to those of the Western cases.


ILR Review ◽  
2019 ◽  
Vol 72 (5) ◽  
pp. 1262-1277 ◽  
Author(s):  
Robert W. Fairlie ◽  
Javier Miranda ◽  
Nikolas Zolas

The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.


2017 ◽  
Vol 20 (1) ◽  
pp. 80-111 ◽  
Author(s):  
Cinzia Battistella ◽  
Alberto F. De Toni ◽  
Elena Pessot

Purpose The purpose of this paper is to investigate how the context of open innovation offered by accelerators can affect the successful growth of start-ups. The authors explore accelerators practices and tools in sustaining start-ups and increasing survival probability in their innovation process, with the aim of addressing the following research question: how can start-ups benefit from participation in an accelerator programme from an open innovation perspective? Design/methodology/approach A review of the literature on start-up successes and failures and on major practices in the open innovation paradigm was carried out, delineating them in the context of accelerators. Given the absence of literature on accelerator practices for supporting start-ups, and aiming at a comprehensive understanding of how the open environment within the accelerator influences a start-up’s survival (or even success) by mitigating the probability of failure, the authors conducted an exploratory case study in an English accelerator. Findings The open innovation practices mediated by an accelerator and the ones that are not covered, but that can benefit a start-up’s survival, are shown. On the one hand, main effective practices, such as dyadic co-creation with accelerator network partners and crowdsourcing, are revealed to address mostly the lack of, or wrong direction in, product, marketing and relative managerial abilities, which are not usually owned by a start-up due to its “newness”. On the other hand, some causes of failures, such as the intrinsic characteristics of founder teams, do not seem to be addressed by an open approach and neither does participation in an accelerator programme. Originality/value This paper is the first to study and link the literature on accelerators, start-ups and open innovation.


1969 ◽  
Vol 15 (4) ◽  
Author(s):  
J Leslie Glick

Venture capital (VC) funding of US biotechnology companies was analysed relative to total VC investments placed in US companies from 1995 to 2007. During those years, except for a spike because of the dot-com bubble from 1999 to 2001, VC funding of US biotechnology companies grew at a faster rate percentagewise than total VC funding of US companies, with respect to annual dollars invested, number of deals closed and the mean dollar investment. Start-up and early-stage VC funding of US biotechnology companies also grew at a faster rate percentagewise, with respect to all three parameters, than total start-up and early-stage VC funding of US companies. It was further observed that long-term trends in the availability of VC for biotechnology do not appear to be affected by perturbations in the financial markets and short-term fluctuations in the availability of VC. It was concluded that the biotechnology industry should continue to attract VC over the long run particularly because of the emerging impact of personalised medicine and the coming of age of bioenergy.


Author(s):  
Otmane Azeroual ◽  
Horst Theel

The rapid increase in data volumes in companies has meant that momentous and comprehensive information gathering is barely possible by manual means. Business intelligence solutions can help here. They provide tools with appropriate technologies to assist with the collection, integration, storage, editing, and analysis of existing data. While almost only large companies were interested in this topic a few years ago, it has meanwhile also become necessary for start-up companies, and so the market for business intelligence has been growing for years. This article focuses on the general potentials of using BI in start-ups. First, will be examined which providers of BI solutions that are suitable for start-ups and what opportunities exist for implementing BI systems in start-ups. Then it will be shown to what extent BI has prevailed in start-ups, in which areas the techniques of BI are used in start-ups and what purpose BI has in start-ups. Finally, the success factors for BI projects in start-ups are considered.


2020 ◽  
Vol 8 (2) ◽  
pp. 62-72 ◽  
Author(s):  
Ester Appelgren ◽  
Carl-Gustav Lindén

The combined set of skills needed for producing data journalism (e.g., investigative journalism methods, programming, knowledge in statistics, data management, statistical reporting, and design) challenges the understanding of what competences a journalist needs and the boundaries for the tasks journalists perform. Scholars denote external actors with these types of knowledge as interlopers or actors at the periphery of journalism. In this study, we follow two Swedish digital native data journalism start-ups operating in the Nordics from when they were founded in 2012 to 2019. Although the start-ups have been successful in news journalism over the years and acted as drivers for change in Nordic news innovation, they also have a presence in sectors other than journalism. This qualitative case study, which is based on interviews over time with the start-up founders and a qualitative analysis of blog posts written by the employees at the two start-ups, tells a story of journalists working at the periphery of legacy media, at least temporarily forced to leave journalism behind yet successfully using journalistic thinking outside of journalistic contexts.


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