scholarly journals Biotechnology business models work: Evidence from the pharmaceutical marketplace

2008 ◽  
Vol 14 (2) ◽  
Author(s):  
J Leslie Glick

A study was undertaken that validates the business models of biotechnology companies that compete in the pharmaceutical marketplace. Strategic alliances, largely with established pharmaceutical companies, have enabled biopharmaceutical companies to obtain revenues prior to achieving their goal of manufacturing and marketing their own products. As a result, despite the generally long lead-times to commercialisation, an increasing number of biopharmaceutical companies are demonstrating financial success in the marketplace, particularly with respect to revenues, at a faster pace than occurred for both the traditional pharmaceutical and the specialty pharmaceutical companies. There were 244 biopharmaceuticals approved for 366 indications from 1982 to 2005, of which 48 per cent of the approvals for both the products and the indications occurred in the period 2001–2005 (representing just 21 per cent of the 24-year period). From 1990 to 2005, the ten largest US biopharmaceutical companies increased their total revenues from $1.1bn to $31.7bn and turned a combined loss of $0.3bn to net income of $6.2bn. During this time-frame the number of US biopharmaceutical companies reporting revenues in excess of $1bn increased from zero to eight.

1998 ◽  
Vol 11 (1) ◽  
pp. 13-18
Author(s):  
Ronald P. Evens

Growth and change are the hallmarks of the developing biotechnology industry. Since the first approval of a biological product in 1982, over 40 biologicals, many of them medical breakthroughs, have been brought to market. The majority of biotechnology companies focus on developing human therapeutic agents, but about 25 percent of biotechnology companies focus on the diagnostic area, using monoclonal antibody technology, polymerase chain reaction (PCR) technology, and genetics to provide advances in diagnosis and disease monitoring. Structurally, few biotechnology firms are fully integrated companies with full capabilities in research, development, manufacturing, and sales and marketing. Many pursue strategic alliances with other companies to enhance their capabilities in research, development, and sales and marketing. Research alliances between companies and universities are also frequently used to enhance research capabilities. As the industry has matured, consolidation has occurred, with major pharmaceutical companies purchasing biotechnology companies and biotechnology companies merging to expand their capabilities. Research investment, as a percentage of gross sales, continues to be very high for biotechnology companies compared with traditional pharmaceutical companies. The cost of drug development is high, but the probability of approval appears to be somewhat better in the biotechnology field compared with traditional pharmaceuticals. Today, the biotechnology product pipeline is rich, with between 400 to 700 products in various stages of clinical development. Technology developments beyond recombinant DNA technology and monoclonal antibodies, such as antisense, genomics, and combinatorial chemistry, will lead to additional therapeutic and diagnostic breakthroughs.


Author(s):  
L.E. Yasinskaya ◽  

Introduction. Earlier, the comparative analysis of the commercial and investment activities of the companies that play the key roles in the investment processes in the Russian pharmaceutical industry and operate within the four main business models (biotechnological, generic, specialized pharmaceutical companies, active pharmaceutical ingredient (API) manufacturers) has been conducted. No full assessment of the companies’ activitiesis conceivable without a financial analysis of their activities to identify the risks of investment activities. Objective of the study. A detailed comparative analysis of the financial standing of domestic pharmaceutical manufacturers operating within the selected business models for further identification of potential financial risks for investors. Research procedure and article structure. Analysis of RAS statements (forms 1 and 2) of 72 over 500 million revenue companies grouped together as selected business models for the period from 2015 to 2019. Results. The researchers provided a detailed description of the commercial activities of domestic pharmaceutical companies within the business models under consideration. The companies within various business models showed positive revenue growth rates over the past five years. All business models demonstrate consistently high business profitability and a significant share of own capital in the asset profile. Conclusion. The results of the study show the stable financial standing of the pharmaceutical companies within various business models. The biotechnology sector companies that are the most attractive for investments have the highest quality financial standing. The specialized and generic companies show similar consistently strong performance. API manufacturers that the companies with relatively small revenues are actively developing and are attractive to restrained budget investors.


Author(s):  
Khalid Mustafa ◽  
Kai Cheng

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.


1969 ◽  
Vol 16 (1) ◽  
Author(s):  
Yali Friedman

In the relatively short history of the biotechnology industry, new business models have emerged every few years. Some have been little more than short-lived marketing or investment-attraction devices, whereas others have had endured as viable options. Given the dramatic changes in the economic climate and potentially the regulations affecting biotechnology, is it time for a new business model?A SHORT HISTORYFirst there was the FILCO, or fully integrated life science company, business model. This model, employed by some of the first biotechnology companies, positioned firms to capture the revolutionary advances of biotechnology and to build large vertically-integrated companies. Companies like Amgen and Genentech were able to fulfill this endpoint, but many other companies were not so fortunate. Another early model was to improve existing products, rather than to build an entire franchise around discovering and commercializing new ones. This model is exemplified by Alza, which was founded to improve medical treatment through controlled drug delivery and focused on improving existing drugs rather than developing new ones. This same model is still employed today, and shares some similarity with the technology platform business model, where companies focus on developing technologies that can be sold to other R&D firms, rather than independently developing consumer applications.Newer business models did not replace the older ones, but rather enabled new firms to focus on the unique environment in which they were founded. Examples include the hybrid model that combined product development with a technology platform, which could be sold or licensed to others, and the no research, development-only model that as a derivative of the specialty pharmaceutical model, saw newly founded companies buying drug leads off of other companies to complete late-stage clinical trials. These models enabled new firms to meet the respective needs of risk-averse and cash-rich investors.WHERE ARE WE NOW?I've previously written that the global economic crisis has been (and still is) transformative for the biotechnology industry. The aforementioned biotechnology business models rose to prominence in conditions that favored them. For example, the hybrid model emerged in a funding drought and was favored as it enabled companies to build internal revenue streams while still maintaining the possibility to realize the upside of product sales.What are the factors influencing biotechnology companies today? In the United States, beyond the general economic climate there are still unresolved questions about the availability of early stage financing, the ability to recruit foreign workers, and – post-commercialization – data exclusivity, generic biologics and the potential for price controls. Internationally, some nations are still undergoing dramatic economic reorganizations, while others are making significant investments in building biotechnology R&D capacity.So, the question remains: Is the biotechnology industry ready for a new business model, and is there a business model that can accommodate the myriad domestic challenges faced by many countries while addressing the increasing globalization of activities?


Author(s):  
Divakaran Liginlal ◽  
Lara Khansa ◽  
Stella C. Chia

With a rich fare of localized content, but limited regional media outlet channels, mobile content generates new business opportunities for Media News, a small media company with considerable growth potential. Two business models are considered: partnering with wireless service providers and strategic alliances with mobile content syndicators. First, the models are evaluated based on their resource requirements, market share acquisition, revenue generation, and nature, scope and control of content and bandwidth. Then, real options analysis is used to value Media News’ managerial flexibility in responding to uncertainty in investment choices specific to the media industry. The modeling approach, analytical methods, and decision support tools employed in this paper serve as exemplar for engineering managers involved in strategic investment decisions, especially in emerging areas such as mobile commerce.


2019 ◽  
pp. 417-428
Author(s):  
John Child ◽  
David Faulkner ◽  
Stephen Tallman ◽  
Linda Hsieh

Chapter 19 examines alliances in the financial services sector, focusing on banks as the major players. It describes how banks have traditionally formed strategic alliances with other banks and established deep networks. As such they have made themselves into the sector’s banking blocks. However, since the financial crisis of 2008 the terrain has changed and banks are facing the need to digitize and adopt modern technology to a greater degree than previously. The chapter considers the impact of digitization leading to cooperation between banks and software companies and the development of new business models based on the efficiencies digitization offers. It also looks at the cooperative relationship of banks with the new area characterized as Fintech and the emergence of new financial tools like cryptocurrencies and blockchain.


Author(s):  
Divakaran Liginlal ◽  
Lara Khansa ◽  
Stella C. Chia

With a rich fare of localized content, but limited regional media outlet channels, mobile content generates new business opportunities for Media News, a small media company with considerable growth potential. Two business models are considered: partnering with wireless service providers and strategic alliances with mobile content syndicators. First, the models are evaluated based on their resource requirements, market share acquisition, revenue generation, and nature, scope and control of content and bandwidth. Then, real options analysis is used to value Media News’ managerial flexibility in responding to uncertainty in investment choices specific to the media industry. The modeling approach, analytical methods, and decision support tools employed in this paper serve as exemplar for engineering managers involved in strategic investment decisions, especially in emerging areas such as mobile commerce.


2007 ◽  
Vol 77 (5) ◽  
pp. 875-880 ◽  
Author(s):  
Scott S. Heying ◽  
Jeryl D. English ◽  
Henry I. Bussa ◽  
John A. Corbett

Abstract Objective: To evaluate the financial success and personal satisfaction of orthodontists operating satellite practices. Materials and Methods: A questionnaire was e-mailed to 4426 members of the American Association of Orthodontists (AAO), and 817 completed surveys were returned, yielding an 18% response rate. Only replies from solo practitioner orthodontists were analyzed to limit variability among respondents. Results: Solo practitioner orthodontists with satellite practices reported an increase in net profit and started significantly more cases than orthodontists with one office. Yet, only 27% of respondents with one satellite and 48% of practitioners operating multiple satellites recommend opening a satellite practice. Ninety-two percent of orthodontists stated they were satisfied with the clinical aspects of their practice, and 99% of orthodontists described themselves as happy and satisfied individuals. Conclusion: Despite the ability of a satellite office to expand a patient base and increase net income, most practitioners would not encourage young orthodontists to establish a satellite office.


Author(s):  
Kisoon Shin ◽  
Daeho Lee ◽  
Kwangsoo Shin ◽  
Eungdo Kim

The pharmaceutical industry, where research and development (R&D) efficiency is central to company survival, has recently faced significant challenges. To increase efficiency, companies must implement strategies such as open innovation (OI), wherein they sell their intellectual property, maximize their use of external resources, adjust their structures, and implement new business models. In this study, we divided 701 U.S. pharmaceutical companies according to their OI strategies to measure and compare their R&D efficiencies between 2001 and 2016. We analyzed the deal data of companies by first dividing them into four groups (inside-out, outside-in, coupled, and closed) to calculate R&D efficiency using stochastic and meta-frontier analyses. In the first group analysis, the coupled group shows high technical efficiency, but in an overall comparison, the inside-out group achieves the highest efficiency values. These values increased between 2005 and 2010, when the R&D crisis in the industry was great at its highest. We thus identified the characteristics of each group based on our results, and presented extensive analyses using a time-series comparison and enterprise-level analysis. We claim that pharmaceutical companies can still cope with the current R&D crisis by implementing different OI strategies.


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