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Companies gone open: 
adoption and application 
of Open­Source Business 
Models 
Roberto Medico, Alvaro Garcia, Iban Eguía 
  
 
 
Abstract 
1. Introduction 
2. Open­Source Business Models 
2.1 Distributor models 
2.2 Software producer models 
2.3 Third party service provider model 
3. Why going open and what to take into account 
3.1 Why going open 
3.2 Switching from a proprietary strategy 
3.3 Entering the market with an OS product 
3.4 Hybrid Models 
4. Models in action: successful cases 
4.1 JBoss: dynamic business model adapting to the market 
4.2 Zope and Community­based ZEA 
5. Conclusions 
 
  
 
   
1 
Abstract
 
This article explores the dynamics of the software distribution market, focusing on open                         
source (OS) business strategies. After an overview on the main existing business models,                         
both in the proprietary and open distribution, an analysis of the factors that can possibly                             
influence the decision to go open is carried out, alongside a critical evaluation of both the                               
advantages and disadvantages this decision can introduce into a company. 
Hybrid models are then presented as a balanced compromise between proprietary and open                         
business models, followed by a brief guide on how companies can choose the proper degree                             
of openness for their own business. Finally, JBOSS and ZEA’s successful OS business                         
models are presented as examples of dynamic strategies that adapt and fit into the market                             
exploiting OS strengths and advantages. 
 
1. Introduction
 
The aim of this article is to analyse and discuss the adoption of Open Source business                               
strategies in the software production (and distribution) market and to compare different                       
models based on those. 
Prior literature has also discussed this topic, especially focusing on OS business models, and                           
analysing the alternative methods used to get income and revenues (e.g. services offered for                           
a fee: consulting, support etc.), given that they’re offering free software (Krishnamurthy 2005;                         
Raymond, 1999). For instance, some of the Open Source models analysed in these                         
researches are the software distributor models, the software producer models and the third                         
party service provider models. 
  
Specifically, the research question this article will address is the following: “Which factors and                           
dynamics can affect the decision of a company to go open in the software production and                               
distribution market? In particular, when adopting an OS entry strategy or switching from a                           
proprietary strategy can be a beneficial strategy?” 
The research is performed by firstly going through existing proprietary and OS models                         
discussed in the literature, highlighting advantages and disadvantages, moving on to analyse                       
the relatively new tendency to adopt hybrid strategies, i.e. mixing open and proprietary                         
models, finally ending by showing two successful and peculiar cases of the application of                           
those models, JBOSS and Zope Europe Association (ZEA). 
 
   
2 
2. Open-Source Business Models
 
Depending on what the enterprise will be offering, we can classify Open­Source business                         
models, as with private business models, in product­based business models and                     
services­based business models. As written by Krishnamurthy in 2005, we can see that                         
service business models are more common between Open Source software than product                       
business models. Nevertheless, there are some good approaches in the product selling                       
market using Open Source software (Massey, 2005). 
 
  
2.1 Product-based models
 
Product­based business models are the continuation of usual private software business                     
models, in which the software product itself is being sold and is the one giving profitability to                                 
the company (Krishnamurthy, 2005). There are various implementations of such a business                       
model in the market, using Open Source software, but there are two main scenarios (Groen,                             
2012): 
 
● The first scenario, is the one in which the software itself is being based in plenty Open                                 
Source code, and while all that code and company’s contribution is still open, the final                             
product is kept closed. 
 
● In the second scenario, the software is open sourced, but the distribution media is the                             
one being sold, giving users a more reliable and simple installation process                       
(Krishnamurthy, 2005). 
 
For example, we can see that RedHat provides customers with CD versions of the software at                               
a low cost comparing to other operating systems, even if the software is freely available                             
(Krishnamurthy, 2005). 
 
   
3 
2.2 Services-based models
  
As we have seen before, services­based models are the most common models in Open                           
Source industry. These models are mainly based in offering services related to an open                           
source software that can be developed mainly by the company itself or the company might be                               
providing services for other software (Massey, 2005). 
 
As analysed by Krishnamurthy, one of the main markets in this approach is the professional                             
support for open source software. While the usual example here would be RedHat, there are                             
more cases, some of them that provide professional support for more than one open source                             
software, that has nothing to do with the company itself (Groen, 2012). Most of them use to                                 
state a minimum quality requirement the open source product needs to have so that they can                               
provide such support (Krishnamurthy, 2005). 
 
3. Why going open and what to take into account
  
Whenever a company decides to go open, there are several factors to take into account to                               
avoid being overwhelmed by the transition. Nonetheless, this is also true in the case of a new                                 
company deciding to enter the market: is it worth it to offer an OS product? How to evaluate                                   
risks and potentials? The next sections cover both these scenarios and discuss the benefits                           
and pitfalls of the transition. 
  
3.1 Why going open
  
Many researches have been carried out about the reasons more and more companies decide                           
to release software under OS license or to collaborate in OS projects (Chesbrough, 2012).                           
Between the main reasons, companies seem definitely attracted by the possibility of having a                           
community around their products: such an ecosystem cannot only guarantee quality through                       
continuous peer review (Watson, Boudreau, York, Greiner & Wynn, 2008) but also code                         
reliability and security. 
This is especially useful for some specific applications that require extra security and                         
reliability, as Applewhite (2003) argues. In those cases, open source can be really                         
advantageous, since it provides a huge peer review based on the possibility for everyone to                             
review it (Baldwin, 2014). 
  
The second point to review is the need for a rapid bug fixing. While some software can have a                                     
small error not fixed for a long period, in some cases the software needs an extremely quick                                 
patching and releasing, because of its nature. Open source can stand as a good alternative                             
(Baldwin, 2014) in these cases too, since it enables everyone to submit a fix as soon as it                                   
appears. 
4 
  
The third scenario to take into account that could lead a company to adapt a more open                                 
business model would be the need for scalability and flexibility (Chesbrough, 2012). It could                           
be that the software would be competing in a rapidly changing market, and with only                             
proprietary contributions, where changes would cost both time and money, while with open                         
source, it could be assessed much more efficiently, as pointed out by Baldwin (2014). 
  
Another important feature to take into account is that open source software reduces the                           
business risk in the case of a project being discontinued (Baldwin, 2014). That supposes that                             
if the software is critical for a company, relying on open source would give it the advantage of                                   
being able to continue its development if the original developer drops his support. 
  
On the same line, open source software usually is more kind of open standards, available for                               
everyone (Baldwin, 2014), so if the company needs accessibility and cross­platform                     
standards, it is a feature to take into account, so they can reach to a wider audience. 
  
In the end, what all this points out is that open source software provides quality at a                                 
reasonable cost (Baldwin, 2014) since the company will not need to invest as much as it                               
would with a proprietary model, but will receive a quality software with a huge peer review                               
process (Applewhite, 2003). 
  
3.2 Switching from a proprietary strategy
  
To understand open source business models and the differences with the proprietary ones, so                           
that companies can decide which path to follow, there is a need to know and understand the                                 
proprietary business models that have been the norm at least until now (Applewhite, 2003). 
  
Proprietary business models are based on the fact that the code remains private, so the                             
competence will not be able to use it against the company. This means that the code is part of                                     
the intellectual property of the business itself, and it is maintained secret. The final product                             
might or might not be for free, and that will depend on the business model of the company                                   
(Economides & Katsamakas, 2005). 
  
However, even if those seem really good advantages, this model also shows some                         
drawbacks: the code is only reviewed by in­company developers. This means that there is                           
less people available to make the code secure and efficient. The company itself only makes                             
all the testing and work, so the imagination gets cut off (Baldwin, 2014). 
Speaking about the transition to an OS model from a proprietary strategy, clearly the first                             
thing a company has to understand and quietly accept is the loss of any income coming from                                 
software distribution: since OS licences are free to use and redistribute, users are not                           
required to pay anymore for the software itself (West, 2003). In addition, giving away the                             
software through an OS license means that everyone can consult and use the source code,                             
5 
including the company’s competitors, possibly giving them crucial advantages. So, back to our                         
research question, how to find out if the transition from a well­established proprietary strategy                           
to a new and possibly risky business like an open source model will be beneficial for a                                 
company? 
Of course, there is no direct answer to this question but an adequate estimated answer can                               
be found by analysing benefits and disadvantages that an OS strategy could introduce.                         
Besides the reasons discussed in the previous section, one of the main benefit particularly felt                             
from a previously proprietary business model is that an OS strategy could enhance and                           
facilitate the tendency to innovation of the products (Economides et al., 2005), taking                         
advantage of the ambition and motivation of the users­programmers within the community                       
around an open source product. This concept is also referred to as open innovation paradigm                             
(West & Gallagher, 2006) where the authors point out how it strongly clashes with the typical                               
vertical integration system proposed by proprietary distribution, where internal research                   
activities, despite being promising, are often left behind and not developed further because of                           
the lack of an external source for innovation, such as a community of motivated programmers.                             
Of course, to make open innovation productive for the business and not only an advantage to                               
possible competitors by unveiling own technologies, firms should exploit both internal and                       
external innovation introduced by the adoption of an open source business model. 
  
This high reliability and robustness (Krishnamurthy, 2005) obtained by wide communities                     
(ecosystems) of debuggers goes along with the possibility to get complementary assets                       
improving the product from third party companies collaborating in the project (West, 2003). 
Better flexibility to the (expert) user and the continuous and widespread support provided by                           
the OS communities should also be considered as important advantages of adopting an OS                           
business model (Krishnamurthy, 2005). 
On the other hand, expenses and pitfalls must also be taken into account. One of the main                                 
expenses comes from the switching costs, deriving from issues like compatibility of hardware                         
and software and handling different generations of a software (Bonaccorsi, Giannangeli &                       
Rossi, 2006). Proprietary companies who decide to switch a software to an OS model can                             
have trouble to make the product backlog gained during the years compatible, and these                           
difficulties are harder the longer the company has been into a proprietary model. Costs can                             
derive also from demand if the transition to an OS product requires the developers or the                               
end­users to be additionally trained. Technical disadvantages can also derive from the version                         
proliferation typically present around an OS product and the poor (or at least worse) usability                             
(Krishnamurthy, 2005). In general, adopting a new open model trying to calmly replace an                           
existing one is a challenging task, and usually companies tend to make the two different                             
models coexist in some way (Chesbrough, 2012), adopting a kind of hybrid strategy. 
  
Beside the decision of going open, another critical point is to choose the degree of openness                               
a company should adopt; in other words, it is necessary to understand when the decision of                               
going open is actually going to be an improvement for the business of a company. It is                                 
possible to find some direct factors that can limit the degree of openness as well as factors                                 
that make it profitable to enhance it (Bonaccorsi et al., 2006). 
6 
According to West (2003), the degree of openness should be evaluated against the                         
community of users a product can address: going open should provide substantial benefits for                           
more than a niche of expert users. 
One of the most influential factor in this decision though is the experience in this field (e.g. the                                   
involvement in OS community projects) rather than the motivation or belief in OS principles of                             
the company’s owner (Bonaccorsi et al., 2006). 
  
Understanding how this transition will affect the company can be a challenging task and                           
several factors (e.g. company’s internal organization, company’s activity period, company’s                   
leaders devotion to OS mind­set and so on) can actually slow it down or make it faster                                 
(Bonaccorsi et al., 2006). 
  
The table below summarizes the benefits and pitfalls discussed in this section: 
  
Benefits  Pitfalls 
Innovation  Compatibility issues with existing       
infrastructures 
Code reliability and security  (additional) training expenses 
Quality assurance  Version proliferation 
Scalability and flexibility  Poorer usability 
Protection against business risks  Loss of direct incomes 
Possibly larger audience (open       
standards) 
  
  
7 
3.3 Entering the market with an OS product
  
What about a new company entering the market with a new product? Which pitfalls there can                               
be given that there are no switching or training additional expenses? Moreover, when an open                             
source strategy can lead to a more beneficial business than a standard proprietary model                           
where income is guaranteed by the selling of the product? 
If the decision is to go open, there are two feature of the product to be analysed to evaluate                                     
which is the profit potential of it: customer applicability and relative product importance. The                           
former identifies the amount of people who would potentially use and benefit from the product,                             
while the latter measures how relevant and useful the product is for users (Krishnamurthy,                           
2005). Depending on these two features, the author proposes a taxonomy consisting of four                           
different categories of product, with increasing profit potential: stars, high­profile nichers,                     
mainstream utilities, low­profile nichers. 
  
Once identified the category the product belongs to, other factors can still affect the profit;                             
firstly, the primary developer community: if this is a motivated and united team willing to                             
continuously innovate and improve, the product will benefit mostly both in distribution and                         
user­satisfaction. On the other hand, the presence of other dominant OSS products in the                           
same field can negatively affect the success of the product, because competition between OS                           
products is fierce and challenging, both on the product category and distribution level. In                           
addition to this, there could be also proprietary competitors with products in the same field: in                               
this case, competition can even be harder because of the bigger amount of resources (e.g. in                               
advertising, marketing etc.) that a commercial business can guarantee. Still, if the product is                           
innovative and provides useful services, it can be competitive if supported with an adequate                           
marketing campaign. 
 
3.4 Hybrid Models
 
The prospect of a pure open source model can be seen as too risky by some companies,                                 
which would like to take advantage of the benefits it provides still without losing the stability                               
and incomes coming from a proprietary strategy. In this context, it seems an effective and                             
convenient idea that of mixing the freedom and the communitarian ideas behind an open                           
distribution with the guarantee of incomes and stability of a proprietary one, adopting one of                             
the so­called hybrid models (Bonaccorsi et al., 2006). As previously seen, many open source                           
business models relies on other sources of income offering several OS­related services such                         
as consulting, supporting, sponsorships etc. 
  
It’s interesting to notice that these hybrid models are gathering more and more attention in the                               
recent years (Chesbrough, 2012; West, 2003) and that they don’t seem to stand up as a                               
transitional state between pure proprietary models to pure OS ones but instead they are                           
reliable and stable strategies able to adapt and follow the dynamics of the market (Bonaccorsi                             
8 
et al., 2006). According to the authors’ research, the transition is never an irreversible                           
process, as “firms may calibrate their openness to it with respect to their customer base and                               
maintain a mixed product and service portfolio”. 
  
According to West (2003), two are the main hybrid strategies used: 
● Opening parts, that is disclosing (i.e. releasing under an OS license) only some layers                           
of a product while keeping hidden others (possibly the most useful); 
● Partly open, that is releasing the product under such restrictions that it remains usable                           
but very hard to be integrated by competitors. 
  
The analysis conducted shows how many companies today have adopted these hybrid                       
strategies to play a leading role in the market: the effects and the outcome strongly depend on                                 
a company’s ability to calibrate properly their openness and to make customers collaborate                         
into software production, so that marginal costs for customizing, updating and improving the                         
software are significantly lower. The next section will discuss how a company can decide and                             
set its degree of openness, that is how many and which open services to offer. 
4. Models in action: successful cases
                   
The purpose of this section of the paper is to show how business models based on Open                                 
Source can work in a real competitive environment through case studies, which consist on the                             
analysis, using information collected from many different sources, of an event in its natural                           
emplacement. The information collected in our review so far will be used as the framework to                               
analyse the study cases. 
  
Companies turn to open source to reduce their costs while developing and maintaining and to                             
focus better their efforts on points that make them different from their competitors. (Weiss,                           
2011). 
  
In terms of Open Source business models the most common study cases are those about                             
RedHat and IBM (Munga, Fogwill, & Williams, 2009). In order to show other successful cases                             
that used different strategies, the next sections will focus on the adoption of open source                             
business models in two different enterprises. The first study case examines JBoss, a                         
company that applied the professional open source (POS) business model. JBoss is property                         
of Red Hat since 2006, after they firstly applied the POS business model. The second study                               
case examines Zope Europe Association (ZEA), which adopted an open source business                       
model based on network. 
  
   
9 
4.1 JBoss: dynamic business model adapting to the market
  
JBoss started as a failed '.com' company at the beginning of the XXI century and turned to be                                   
leader in the Java application server market. This change was possible thanks to the adoption                             
of the Professional Open Source (POS) business model. JBoss was one of the first                           
enterprises applying this model; that’s why they are also known as the evangelists of the                             
POS. POS mixes the benefits provided by the Open Source (OS) with the techniques and                             
methodologies used by enterprises which work in the software business. The POS model is                           
based on offering a free­licensed software while offering at the same time maintenance and                           
support services for a fee (Montalbano, 2006). 
  
When JBoss was created in 1999 it was created applying the Application Service Provider                           
(ASP) business model. The principal purpose of the company was to create software for                           
companies to run their server application outside their own servers. Income came because                         
companies had to pay a charge for using the JBoss framework to develop their applications.                             
In late 2000, when the bubble of the ‘.com’ enterprises burst, the company was out of                               
business because even though their product was really valuable, they were not able to get                             
profit from it (Watson, Wynn, & Boudreau, 2005). 
  
JBoss offered a more reliable application to work with because many tasks performed with the                             
software were critical. When a client enterprise found a problem, it tried to make use of their                                 
employees to solve it as fast as possible but when that was not possible, they had to contact                                   
an expert. Open Source model provided many ways to find this kind of experts such as                               
communities. Experts who were part of the communities had another way of working different                           
from the ones who were hired by JBoss; they went a step ahead because they were                               
motivated, they were not obliged to work for an amount of money as hired employees did                               
(Raymond, 1999). In communities, developers or even staff of an enterprise could receive                         
answers to their questions by users with some expertise in the product for free. Many of the                                 
people who were in forums were later hired by JBoss to provide paid 24x7 support to those                                 
enterprises, which used the software for critical tasks. That support was given by an assigned                             
employee avoiding the necessity to talk with many persons to solve a single problem (Watson                             
et al., 2005). That was an advantage compared to other enterprises of the sector because                             
even though having a large community results into a quick response or solution to problems,                             
those who were paying for support, only had to talk with an expert to receive the solution                                 
making the task quicker which is a determinant factor when dealing with critical tasks. 
  
Having an active community behind JBoss also helped to find more bugs and solve them                             
quicker than before. Developers who were using the application could use forums or                         
communities to tell about bugs found and other participants could solve those bugs in the                             
source code. In words of Raymond (1999), the more eyes you have in the code, the more                                 
bugs appear. These communities also give a quicker solution to those bugs compared to                           
classical models. Communities can be helpful for end­users but also for software producers,                         
10 
because they can see users’ contributions made and hire them in the enterprise to use their                               
expertise also in paid­services. 
  
Having a quality code requires to invest money and the financial situation of JBoss before                             
taking the POS model did not allow that. According to Golden (2005), the quality of JBoss is                                 
quite good and he has completed a big amount of tests (more than 16,000) obtaining a good                                 
result from them. The good results obtained from tests came from two different sides: OS                             
contributors and JBoss product team. Contributors from the community were able to write                         
code but not all the code written by these contributors was valid, as it happens in many OS                                   
projects, the code should follow some coding styles, some quality requirements and cover the                           
principles of JEMS (JBoss Developer, 2007). For those who were contributing for their first                           
time JBoss provided a guide with the steps to follow and the requirements to follow. Apart                               
from contributors, JBoss also had a production team, which was very large taking into account                             
that it was an OS project. Having a large developer group is essential to develop a quality                                 
code (Raymond, 1999). In that production team, there were about 91 engineers (Golden,                         
2005). From those 91 engineers, many of them worked checking and validating the                         
contributions made from the community, and about 12 of them were constantly checking the                           
source code.  
To conclude with this study case we can say that the model worked very well from the                                 
beginning: JBoss adopted this model in 2001 when it was out of business and 5 years later, in                                   
2006, the company was sold to RedHat for $350 million (LaMonica, 2006). JBoss was one of                               
the first enterprises adopting the POS business model and because of the great outcome it is                               
often taken as an example to follow while implementing this business model. 
  
4.2 Zope and Community-based ZEA
               
Zope Europe Association (ZEA) is a business network with presence in many countries all                           
over the world. ZEA builds software and makes business with a server application called                           
Zope. Zope is an open source application written in Python and published under the Zope                             
public license. Zope is used to create applications like intranets or web portals using an object                               
oriented web application server. Companies like ZEA, also known as virtual companies apply                         
to the network business model with the aim to deliver a 'whole product' (Feller, Finnegan,                             
Fitzgerald, & Hayes, 2008). 
  
Everything started in 2003 when Zope and Plone decided to work together and they created                             
the Zope Europe Association, which was renamed in 2006 to ZEA partners. As the software                             
was published on the web and the code was available, many developers started to maintain                             
and develop the code that lead to the creation of virtual communities (Soekijad & De Joodel,                               
2011). 
  
Companies that participate in this network usually are not big enough to compete in the                             
market by their own because they usually have about ten employees. A small company of                             
11 
about 10 employees can innovate up to a point. The innovation for these enterprises comes                             
when many of them work together in a large project and share their knowledge and way of                                 
working with the network. That was what happened with ZEA. Each enterprise that                         
participated in the network had its way of working and made use of certain technologies but                               
having more enterprises to collaborate helped the exchange of knowledge, adoption of new                         
technologies and exchange of ideas for future projects. All this resulted into innovations in                           
future developments that could not have happened if the enterprises had not joined this                           
network model and worked together as one. At the end, the application of the model in those                                 
small enterprises made the network more innovative and along that, the products developed                         
by it as well. This capacity of innovation could be also seen when a customer was asking for a                                     
specific feature to one of the participants of the network. Differently from a classical                           
enterprise, participants of the network were free to work in a project on their own even if the                                   
network did not approve it; the capacity of adaptation was also highly improved (Feller,                           
Finnegan, & Hayes, 2006). That obtained capacity of adaptation was highly determined by                         
how the enterprises of the network were configured (Somuyima, Adebayo, & Akanbi, 2011). 
  
Another benefit obtained after applying the network model was the reduction on the time while                             
fixing bugs. As said before, participants of the network were sharing their information and their                             
knowledge while working together. The same philosophy was adopted to deal with bugs. The                           
network model takes from the OS communities the use of IT infrastructures, which were more                             
focused on interactive transactions instead of transactional ones (Feller et al., 2008).                       
Participants of ZEA had a common methodology to assign the work, to think about a concrete                               
problem or even to report and track bugs. This resulted in a reduction on the time needed to                                   
find and solve a bug (Feller et al., 2006). To facilitate the intercommunication between the                             
participants in the network they made use of mailing lists and organized regular meeting that                             
were not available only for partners, but open for everyone to join (Soekijad & De Joodel,                               
2011). 
  
The network also brought higher quality in the code. Not all software companies were suitable                             
to participate in the network. Before joining ZEA participants had to be leaders in the market                               
on their speciality. Participating in a network like ZEA also implied to work in a competent way                                 
because the reputation of the network was on the hand of each participant. If a participant                               
was not working in a proper way, it can be banned from the project or even from the network                                     
(Feller et al., 2008). All this resulted in a code with more quality and the fact that the costs of                                       
the network were shared between all the participants made the costs quite reasonable. 
  
Before taking part in the network, participants were using classical techniques. After the                         
application of the network model, those classical techniques turned to be agile techniques                         
(Feller et al., 2006). Those agile techniques and the lack of a scheduled timetable made the                               
network more flexible than it was before. 
  
As a conclusion, we can say that having an effective implementation of the network business                             
model requires to maintain a productive relation between enterprises that are part of the                           
12 
network, exchange resources and perform a good work with clients avoiding all possible                         
errors not to affect to the image of the whole brand (Feller et al., 2008). 
5. Conclusions
  
The research carried out in this article shows that the adoption of OS business models can be                                 
a viable commercial option for companies and also stand as a profitable strategy to be                             
competitive in an ever changing market: both proprietary and open models can be mixed                           
together to create the best strategy according to the current situation of the market. As                             
explained throughout the article, more and more companies are switching to OS business                         
models or at least include some OS projects to obtain the benefits they can offer: quality and                                 
variety of the services, guaranteed by fast and continuous innovation within an active and                           
collaborative community. 
  
As for our research questions, we have seen how several requirements (desire for innovation,                           
quality and security of the code assurance, wider audience, etc.) could act as motivating                           
reasons to adopt some Open­Source business model as well as potential pitfalls and                         
expenses (switching costs, organizational changes, compatibility issues etc.) that could act as                       
deterrents. 
  
Moreover, the study cases proposed have shown how the companies using open models can                           
adapt and change them according to the current needs, exploiting their flexibility to follow the                             
changing dynamics in the market (customers’ needs, competitors’ pressure, companies’                   
networks etc.) 
  
Nonetheless, this literature review can only offer general guidelines and an overview on the                           
market situation and the business models used, without the aim to offer a silver bullet for a                                 
company. There is no such thing as global rules to follow to become successful, and the                               
strategy should be chosen case by case, according to the types of services offered, the                             
targeted market and the competitive environment. 
  
Since the topics covered in this review are quite recent and focus on a dynamic environment                               
like that of software production and distribution, future researches about them could use this                           
article as a starting point, taking into account the business strategies showed here while being                             
aware of the possible evolution of companies and the rise of new hybrid approaches in the                               
meantime that could be adopted in this environment. 
  
  
 
 
13 
References
  
Applewhite, A. (2003). Should governments go open source?. Software, IEEE, 20(4), 88­91. 
   
Bonaccorsi, A., Giannangeli, S., & Rossi, C. (2006). Entry strategies under competing                       
standards: Hybrid business models in the open source software industry. Management                     
Science, 52(7), 1085­1098. 
  
Chesbrough, H. (2012). Why companies should have open business models. MIT Sloan                       
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Economides, N., & Katsamakas, E. (2005). Linux vs. Windows: A comparison of application                         
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Feller, J., Finnegan, P., & Hayes, J. (2006). Open source networks: an exploration of 
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Groen P. , (2012, December 23). Open Source Business Models ­ A More In Depth View 
   
Krishnamurthy, S. (2005). An analysis of open source business models. Perspectives on free                         
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14 
Technologists (pp. 112121). ACM. Retrieved from 
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23­49. 
  
Raymond, E. S. (1999). The magic cauldron. 
  
Somuyiwa, A. O., Adebayo, I. T., Akanbi, T. A. (2011). Supply Chain Performance: An Agile 
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Soekijad, M., & De Joodel, W. (2011). Co­opetition in Knowledge Intensive Networks: Two                         
Case Studies. 
  
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business of open source. Communications of the ACM, 51(4), 4146. 
  
Watson, R. T., Wynn, D., & Boudreau, M. C. (2005). JBoss: The evolution of professional                             
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15 
 
16 

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Companies gone open: adoption and application of Open-Source Business Models

  • 2. Abstract   This article explores the dynamics of the software distribution market, focusing on open                          source (OS) business strategies. After an overview on the main existing business models,                          both in the proprietary and open distribution, an analysis of the factors that can possibly                              influence the decision to go open is carried out, alongside a critical evaluation of both the                                advantages and disadvantages this decision can introduce into a company.  Hybrid models are then presented as a balanced compromise between proprietary and open                          business models, followed by a brief guide on how companies can choose the proper degree                              of openness for their own business. Finally, JBOSS and ZEA’s successful OS business                          models are presented as examples of dynamic strategies that adapt and fit into the market                              exploiting OS strengths and advantages.    1. Introduction   The aim of this article is to analyse and discuss the adoption of Open Source business                                strategies in the software production (and distribution) market and to compare different                        models based on those.  Prior literature has also discussed this topic, especially focusing on OS business models, and                            analysing the alternative methods used to get income and revenues (e.g. services offered for                            a fee: consulting, support etc.), given that they’re offering free software (Krishnamurthy 2005;                          Raymond, 1999). For instance, some of the Open Source models analysed in these                          researches are the software distributor models, the software producer models and the third                          party service provider models.     Specifically, the research question this article will address is the following: “Which factors and                            dynamics can affect the decision of a company to go open in the software production and                                distribution market? In particular, when adopting an OS entry strategy or switching from a                            proprietary strategy can be a beneficial strategy?”  The research is performed by firstly going through existing proprietary and OS models                          discussed in the literature, highlighting advantages and disadvantages, moving on to analyse                        the relatively new tendency to adopt hybrid strategies, i.e. mixing open and proprietary                          models, finally ending by showing two successful and peculiar cases of the application of                            those models, JBOSS and Zope Europe Association (ZEA).        2 
  • 3. 2. Open-Source Business Models   Depending on what the enterprise will be offering, we can classify Open­Source business                          models, as with private business models, in product­based business models and                      services­based business models. As written by Krishnamurthy in 2005, we can see that                          service business models are more common between Open Source software than product                        business models. Nevertheless, there are some good approaches in the product selling                        market using Open Source software (Massey, 2005).       2.1 Product-based models   Product­based business models are the continuation of usual private software business                      models, in which the software product itself is being sold and is the one giving profitability to                                  the company (Krishnamurthy, 2005). There are various implementations of such a business                        model in the market, using Open Source software, but there are two main scenarios (Groen,                              2012):    ● The first scenario, is the one in which the software itself is being based in plenty Open                                  Source code, and while all that code and company’s contribution is still open, the final                              product is kept closed.    ● In the second scenario, the software is open sourced, but the distribution media is the                              one being sold, giving users a more reliable and simple installation process                        (Krishnamurthy, 2005).    For example, we can see that RedHat provides customers with CD versions of the software at                                a low cost comparing to other operating systems, even if the software is freely available                              (Krishnamurthy, 2005).        3 
  • 4. 2.2 Services-based models    As we have seen before, services­based models are the most common models in Open                            Source industry. These models are mainly based in offering services related to an open                            source software that can be developed mainly by the company itself or the company might be                                providing services for other software (Massey, 2005).    As analysed by Krishnamurthy, one of the main markets in this approach is the professional                              support for open source software. While the usual example here would be RedHat, there are                              more cases, some of them that provide professional support for more than one open source                              software, that has nothing to do with the company itself (Groen, 2012). Most of them use to                                  state a minimum quality requirement the open source product needs to have so that they can                                provide such support (Krishnamurthy, 2005).    3. Why going open and what to take into account    Whenever a company decides to go open, there are several factors to take into account to                                avoid being overwhelmed by the transition. Nonetheless, this is also true in the case of a new                                  company deciding to enter the market: is it worth it to offer an OS product? How to evaluate                                    risks and potentials? The next sections cover both these scenarios and discuss the benefits                            and pitfalls of the transition.     3.1 Why going open    Many researches have been carried out about the reasons more and more companies decide                            to release software under OS license or to collaborate in OS projects (Chesbrough, 2012).                            Between the main reasons, companies seem definitely attracted by the possibility of having a                            community around their products: such an ecosystem cannot only guarantee quality through                        continuous peer review (Watson, Boudreau, York, Greiner & Wynn, 2008) but also code                          reliability and security.  This is especially useful for some specific applications that require extra security and                          reliability, as Applewhite (2003) argues. In those cases, open source can be really                          advantageous, since it provides a huge peer review based on the possibility for everyone to                              review it (Baldwin, 2014).     The second point to review is the need for a rapid bug fixing. While some software can have a                                      small error not fixed for a long period, in some cases the software needs an extremely quick                                  patching and releasing, because of its nature. Open source can stand as a good alternative                              (Baldwin, 2014) in these cases too, since it enables everyone to submit a fix as soon as it                                    appears.  4 
  • 5.    The third scenario to take into account that could lead a company to adapt a more open                                  business model would be the need for scalability and flexibility (Chesbrough, 2012). It could                            be that the software would be competing in a rapidly changing market, and with only                              proprietary contributions, where changes would cost both time and money, while with open                          source, it could be assessed much more efficiently, as pointed out by Baldwin (2014).     Another important feature to take into account is that open source software reduces the                            business risk in the case of a project being discontinued (Baldwin, 2014). That supposes that                              if the software is critical for a company, relying on open source would give it the advantage of                                    being able to continue its development if the original developer drops his support.     On the same line, open source software usually is more kind of open standards, available for                                everyone (Baldwin, 2014), so if the company needs accessibility and cross­platform                      standards, it is a feature to take into account, so they can reach to a wider audience.     In the end, what all this points out is that open source software provides quality at a                                  reasonable cost (Baldwin, 2014) since the company will not need to invest as much as it                                would with a proprietary model, but will receive a quality software with a huge peer review                                process (Applewhite, 2003).     3.2 Switching from a proprietary strategy    To understand open source business models and the differences with the proprietary ones, so                            that companies can decide which path to follow, there is a need to know and understand the                                  proprietary business models that have been the norm at least until now (Applewhite, 2003).     Proprietary business models are based on the fact that the code remains private, so the                              competence will not be able to use it against the company. This means that the code is part of                                      the intellectual property of the business itself, and it is maintained secret. The final product                              might or might not be for free, and that will depend on the business model of the company                                    (Economides & Katsamakas, 2005).     However, even if those seem really good advantages, this model also shows some                          drawbacks: the code is only reviewed by in­company developers. This means that there is                            less people available to make the code secure and efficient. The company itself only makes                              all the testing and work, so the imagination gets cut off (Baldwin, 2014).  Speaking about the transition to an OS model from a proprietary strategy, clearly the first                              thing a company has to understand and quietly accept is the loss of any income coming from                                  software distribution: since OS licences are free to use and redistribute, users are not                            required to pay anymore for the software itself (West, 2003). In addition, giving away the                              software through an OS license means that everyone can consult and use the source code,                              5 
  • 6. including the company’s competitors, possibly giving them crucial advantages. So, back to our                          research question, how to find out if the transition from a well­established proprietary strategy                            to a new and possibly risky business like an open source model will be beneficial for a                                  company?  Of course, there is no direct answer to this question but an adequate estimated answer can                                be found by analysing benefits and disadvantages that an OS strategy could introduce.                          Besides the reasons discussed in the previous section, one of the main benefit particularly felt                              from a previously proprietary business model is that an OS strategy could enhance and                            facilitate the tendency to innovation of the products (Economides et al., 2005), taking                          advantage of the ambition and motivation of the users­programmers within the community                        around an open source product. This concept is also referred to as open innovation paradigm                              (West & Gallagher, 2006) where the authors point out how it strongly clashes with the typical                                vertical integration system proposed by proprietary distribution, where internal research                    activities, despite being promising, are often left behind and not developed further because of                            the lack of an external source for innovation, such as a community of motivated programmers.                              Of course, to make open innovation productive for the business and not only an advantage to                                possible competitors by unveiling own technologies, firms should exploit both internal and                        external innovation introduced by the adoption of an open source business model.     This high reliability and robustness (Krishnamurthy, 2005) obtained by wide communities                      (ecosystems) of debuggers goes along with the possibility to get complementary assets                        improving the product from third party companies collaborating in the project (West, 2003).  Better flexibility to the (expert) user and the continuous and widespread support provided by                            the OS communities should also be considered as important advantages of adopting an OS                            business model (Krishnamurthy, 2005).  On the other hand, expenses and pitfalls must also be taken into account. One of the main                                  expenses comes from the switching costs, deriving from issues like compatibility of hardware                          and software and handling different generations of a software (Bonaccorsi, Giannangeli &                        Rossi, 2006). Proprietary companies who decide to switch a software to an OS model can                              have trouble to make the product backlog gained during the years compatible, and these                            difficulties are harder the longer the company has been into a proprietary model. Costs can                              derive also from demand if the transition to an OS product requires the developers or the                                end­users to be additionally trained. Technical disadvantages can also derive from the version                          proliferation typically present around an OS product and the poor (or at least worse) usability                              (Krishnamurthy, 2005). In general, adopting a new open model trying to calmly replace an                            existing one is a challenging task, and usually companies tend to make the two different                              models coexist in some way (Chesbrough, 2012), adopting a kind of hybrid strategy.     Beside the decision of going open, another critical point is to choose the degree of openness                                a company should adopt; in other words, it is necessary to understand when the decision of                                going open is actually going to be an improvement for the business of a company. It is                                  possible to find some direct factors that can limit the degree of openness as well as factors                                  that make it profitable to enhance it (Bonaccorsi et al., 2006).  6 
  • 7. According to West (2003), the degree of openness should be evaluated against the                          community of users a product can address: going open should provide substantial benefits for                            more than a niche of expert users.  One of the most influential factor in this decision though is the experience in this field (e.g. the                                    involvement in OS community projects) rather than the motivation or belief in OS principles of                              the company’s owner (Bonaccorsi et al., 2006).     Understanding how this transition will affect the company can be a challenging task and                            several factors (e.g. company’s internal organization, company’s activity period, company’s                    leaders devotion to OS mind­set and so on) can actually slow it down or make it faster                                  (Bonaccorsi et al., 2006).     The table below summarizes the benefits and pitfalls discussed in this section:     Benefits  Pitfalls  Innovation  Compatibility issues with existing        infrastructures  Code reliability and security  (additional) training expenses  Quality assurance  Version proliferation  Scalability and flexibility  Poorer usability  Protection against business risks  Loss of direct incomes  Possibly larger audience (open        standards)        7 
  • 8. 3.3 Entering the market with an OS product    What about a new company entering the market with a new product? Which pitfalls there can                                be given that there are no switching or training additional expenses? Moreover, when an open                              source strategy can lead to a more beneficial business than a standard proprietary model                            where income is guaranteed by the selling of the product?  If the decision is to go open, there are two feature of the product to be analysed to evaluate                                      which is the profit potential of it: customer applicability and relative product importance. The                            former identifies the amount of people who would potentially use and benefit from the product,                              while the latter measures how relevant and useful the product is for users (Krishnamurthy,                            2005). Depending on these two features, the author proposes a taxonomy consisting of four                            different categories of product, with increasing profit potential: stars, high­profile nichers,                      mainstream utilities, low­profile nichers.     Once identified the category the product belongs to, other factors can still affect the profit;                              firstly, the primary developer community: if this is a motivated and united team willing to                              continuously innovate and improve, the product will benefit mostly both in distribution and                          user­satisfaction. On the other hand, the presence of other dominant OSS products in the                            same field can negatively affect the success of the product, because competition between OS                            products is fierce and challenging, both on the product category and distribution level. In                            addition to this, there could be also proprietary competitors with products in the same field: in                                this case, competition can even be harder because of the bigger amount of resources (e.g. in                                advertising, marketing etc.) that a commercial business can guarantee. Still, if the product is                            innovative and provides useful services, it can be competitive if supported with an adequate                            marketing campaign.    3.4 Hybrid Models   The prospect of a pure open source model can be seen as too risky by some companies,                                  which would like to take advantage of the benefits it provides still without losing the stability                                and incomes coming from a proprietary strategy. In this context, it seems an effective and                              convenient idea that of mixing the freedom and the communitarian ideas behind an open                            distribution with the guarantee of incomes and stability of a proprietary one, adopting one of                              the so­called hybrid models (Bonaccorsi et al., 2006). As previously seen, many open source                            business models relies on other sources of income offering several OS­related services such                          as consulting, supporting, sponsorships etc.     It’s interesting to notice that these hybrid models are gathering more and more attention in the                                recent years (Chesbrough, 2012; West, 2003) and that they don’t seem to stand up as a                                transitional state between pure proprietary models to pure OS ones but instead they are                            reliable and stable strategies able to adapt and follow the dynamics of the market (Bonaccorsi                              8 
  • 9. et al., 2006). According to the authors’ research, the transition is never an irreversible                            process, as “firms may calibrate their openness to it with respect to their customer base and                                maintain a mixed product and service portfolio”.     According to West (2003), two are the main hybrid strategies used:  ● Opening parts, that is disclosing (i.e. releasing under an OS license) only some layers                            of a product while keeping hidden others (possibly the most useful);  ● Partly open, that is releasing the product under such restrictions that it remains usable                            but very hard to be integrated by competitors.     The analysis conducted shows how many companies today have adopted these hybrid                        strategies to play a leading role in the market: the effects and the outcome strongly depend on                                  a company’s ability to calibrate properly their openness and to make customers collaborate                          into software production, so that marginal costs for customizing, updating and improving the                          software are significantly lower. The next section will discuss how a company can decide and                              set its degree of openness, that is how many and which open services to offer.  4. Models in action: successful cases                     The purpose of this section of the paper is to show how business models based on Open                                  Source can work in a real competitive environment through case studies, which consist on the                              analysis, using information collected from many different sources, of an event in its natural                            emplacement. The information collected in our review so far will be used as the framework to                                analyse the study cases.     Companies turn to open source to reduce their costs while developing and maintaining and to                              focus better their efforts on points that make them different from their competitors. (Weiss,                            2011).     In terms of Open Source business models the most common study cases are those about                              RedHat and IBM (Munga, Fogwill, & Williams, 2009). In order to show other successful cases                              that used different strategies, the next sections will focus on the adoption of open source                              business models in two different enterprises. The first study case examines JBoss, a                          company that applied the professional open source (POS) business model. JBoss is property                          of Red Hat since 2006, after they firstly applied the POS business model. The second study                                case examines Zope Europe Association (ZEA), which adopted an open source business                        model based on network.         9 
  • 10. 4.1 JBoss: dynamic business model adapting to the market    JBoss started as a failed '.com' company at the beginning of the XXI century and turned to be                                    leader in the Java application server market. This change was possible thanks to the adoption                              of the Professional Open Source (POS) business model. JBoss was one of the first                            enterprises applying this model; that’s why they are also known as the evangelists of the                              POS. POS mixes the benefits provided by the Open Source (OS) with the techniques and                              methodologies used by enterprises which work in the software business. The POS model is                            based on offering a free­licensed software while offering at the same time maintenance and                            support services for a fee (Montalbano, 2006).     When JBoss was created in 1999 it was created applying the Application Service Provider                            (ASP) business model. The principal purpose of the company was to create software for                            companies to run their server application outside their own servers. Income came because                          companies had to pay a charge for using the JBoss framework to develop their applications.                              In late 2000, when the bubble of the ‘.com’ enterprises burst, the company was out of                                business because even though their product was really valuable, they were not able to get                              profit from it (Watson, Wynn, & Boudreau, 2005).     JBoss offered a more reliable application to work with because many tasks performed with the                              software were critical. When a client enterprise found a problem, it tried to make use of their                                  employees to solve it as fast as possible but when that was not possible, they had to contact                                    an expert. Open Source model provided many ways to find this kind of experts such as                                communities. Experts who were part of the communities had another way of working different                            from the ones who were hired by JBoss; they went a step ahead because they were                                motivated, they were not obliged to work for an amount of money as hired employees did                                (Raymond, 1999). In communities, developers or even staff of an enterprise could receive                          answers to their questions by users with some expertise in the product for free. Many of the                                  people who were in forums were later hired by JBoss to provide paid 24x7 support to those                                  enterprises, which used the software for critical tasks. That support was given by an assigned                              employee avoiding the necessity to talk with many persons to solve a single problem (Watson                              et al., 2005). That was an advantage compared to other enterprises of the sector because                              even though having a large community results into a quick response or solution to problems,                              those who were paying for support, only had to talk with an expert to receive the solution                                  making the task quicker which is a determinant factor when dealing with critical tasks.     Having an active community behind JBoss also helped to find more bugs and solve them                              quicker than before. Developers who were using the application could use forums or                          communities to tell about bugs found and other participants could solve those bugs in the                              source code. In words of Raymond (1999), the more eyes you have in the code, the more                                  bugs appear. These communities also give a quicker solution to those bugs compared to                            classical models. Communities can be helpful for end­users but also for software producers,                          10 
  • 11. because they can see users’ contributions made and hire them in the enterprise to use their                                expertise also in paid­services.     Having a quality code requires to invest money and the financial situation of JBoss before                              taking the POS model did not allow that. According to Golden (2005), the quality of JBoss is                                  quite good and he has completed a big amount of tests (more than 16,000) obtaining a good                                  result from them. The good results obtained from tests came from two different sides: OS                              contributors and JBoss product team. Contributors from the community were able to write                          code but not all the code written by these contributors was valid, as it happens in many OS                                    projects, the code should follow some coding styles, some quality requirements and cover the                            principles of JEMS (JBoss Developer, 2007). For those who were contributing for their first                            time JBoss provided a guide with the steps to follow and the requirements to follow. Apart                                from contributors, JBoss also had a production team, which was very large taking into account                              that it was an OS project. Having a large developer group is essential to develop a quality                                  code (Raymond, 1999). In that production team, there were about 91 engineers (Golden,                          2005). From those 91 engineers, many of them worked checking and validating the                          contributions made from the community, and about 12 of them were constantly checking the                            source code.   To conclude with this study case we can say that the model worked very well from the                                  beginning: JBoss adopted this model in 2001 when it was out of business and 5 years later, in                                    2006, the company was sold to RedHat for $350 million (LaMonica, 2006). JBoss was one of                                the first enterprises adopting the POS business model and because of the great outcome it is                                often taken as an example to follow while implementing this business model.     4.2 Zope and Community-based ZEA                 Zope Europe Association (ZEA) is a business network with presence in many countries all                            over the world. ZEA builds software and makes business with a server application called                            Zope. Zope is an open source application written in Python and published under the Zope                              public license. Zope is used to create applications like intranets or web portals using an object                                oriented web application server. Companies like ZEA, also known as virtual companies apply                          to the network business model with the aim to deliver a 'whole product' (Feller, Finnegan,                              Fitzgerald, & Hayes, 2008).     Everything started in 2003 when Zope and Plone decided to work together and they created                              the Zope Europe Association, which was renamed in 2006 to ZEA partners. As the software                              was published on the web and the code was available, many developers started to maintain                              and develop the code that lead to the creation of virtual communities (Soekijad & De Joodel,                                2011).     Companies that participate in this network usually are not big enough to compete in the                              market by their own because they usually have about ten employees. A small company of                              11 
  • 12. about 10 employees can innovate up to a point. The innovation for these enterprises comes                              when many of them work together in a large project and share their knowledge and way of                                  working with the network. That was what happened with ZEA. Each enterprise that                          participated in the network had its way of working and made use of certain technologies but                                having more enterprises to collaborate helped the exchange of knowledge, adoption of new                          technologies and exchange of ideas for future projects. All this resulted into innovations in                            future developments that could not have happened if the enterprises had not joined this                            network model and worked together as one. At the end, the application of the model in those                                  small enterprises made the network more innovative and along that, the products developed                          by it as well. This capacity of innovation could be also seen when a customer was asking for a                                      specific feature to one of the participants of the network. Differently from a classical                            enterprise, participants of the network were free to work in a project on their own even if the                                    network did not approve it; the capacity of adaptation was also highly improved (Feller,                            Finnegan, & Hayes, 2006). That obtained capacity of adaptation was highly determined by                          how the enterprises of the network were configured (Somuyima, Adebayo, & Akanbi, 2011).     Another benefit obtained after applying the network model was the reduction on the time while                              fixing bugs. As said before, participants of the network were sharing their information and their                              knowledge while working together. The same philosophy was adopted to deal with bugs. The                            network model takes from the OS communities the use of IT infrastructures, which were more                              focused on interactive transactions instead of transactional ones (Feller et al., 2008).                        Participants of ZEA had a common methodology to assign the work, to think about a concrete                                problem or even to report and track bugs. This resulted in a reduction on the time needed to                                    find and solve a bug (Feller et al., 2006). To facilitate the intercommunication between the                              participants in the network they made use of mailing lists and organized regular meeting that                              were not available only for partners, but open for everyone to join (Soekijad & De Joodel,                                2011).     The network also brought higher quality in the code. Not all software companies were suitable                              to participate in the network. Before joining ZEA participants had to be leaders in the market                                on their speciality. Participating in a network like ZEA also implied to work in a competent way                                  because the reputation of the network was on the hand of each participant. If a participant                                was not working in a proper way, it can be banned from the project or even from the network                                      (Feller et al., 2008). All this resulted in a code with more quality and the fact that the costs of                                        the network were shared between all the participants made the costs quite reasonable.     Before taking part in the network, participants were using classical techniques. After the                          application of the network model, those classical techniques turned to be agile techniques                          (Feller et al., 2006). Those agile techniques and the lack of a scheduled timetable made the                                network more flexible than it was before.     As a conclusion, we can say that having an effective implementation of the network business                              model requires to maintain a productive relation between enterprises that are part of the                            12 
  • 13. network, exchange resources and perform a good work with clients avoiding all possible                          errors not to affect to the image of the whole brand (Feller et al., 2008).  5. Conclusions    The research carried out in this article shows that the adoption of OS business models can be                                  a viable commercial option for companies and also stand as a profitable strategy to be                              competitive in an ever changing market: both proprietary and open models can be mixed                            together to create the best strategy according to the current situation of the market. As                              explained throughout the article, more and more companies are switching to OS business                          models or at least include some OS projects to obtain the benefits they can offer: quality and                                  variety of the services, guaranteed by fast and continuous innovation within an active and                            collaborative community.     As for our research questions, we have seen how several requirements (desire for innovation,                            quality and security of the code assurance, wider audience, etc.) could act as motivating                            reasons to adopt some Open­Source business model as well as potential pitfalls and                          expenses (switching costs, organizational changes, compatibility issues etc.) that could act as                        deterrents.     Moreover, the study cases proposed have shown how the companies using open models can                            adapt and change them according to the current needs, exploiting their flexibility to follow the                              changing dynamics in the market (customers’ needs, competitors’ pressure, companies’                    networks etc.)     Nonetheless, this literature review can only offer general guidelines and an overview on the                            market situation and the business models used, without the aim to offer a silver bullet for a                                  company. There is no such thing as global rules to follow to become successful, and the                                strategy should be chosen case by case, according to the types of services offered, the                              targeted market and the competitive environment.     Since the topics covered in this review are quite recent and focus on a dynamic environment                                like that of software production and distribution, future researches about them could use this                            article as a starting point, taking into account the business strategies showed here while being                              aware of the possible evolution of companies and the rise of new hybrid approaches in the                                meantime that could be adopted in this environment.            13 
  • 14. References    Applewhite, A. (2003). Should governments go open source?. Software, IEEE, 20(4), 88­91.      Bonaccorsi, A., Giannangeli, S., & Rossi, C. (2006). Entry strategies under competing                        standards: Hybrid business models in the open source software industry. Management                      Science, 52(7), 1085­1098.     Chesbrough, H. (2012). Why companies should have open business models. MIT Sloan                        management review, 48(2).     Economides, N., & Katsamakas, E. (2005). Linux vs. Windows: A comparison of application                          and platform innovation incentives for open source and proprietary software platforms. New                        York University Law and Economics Working Papers, 32.                http://lsr.nellco.org/cgi/viewcontent.cgi?article=1035&context=nyu_lewp     Feller, J., Finnegan, P., Fitzgerald, B., & Hayes, J. (2008). From peer production to  productization: A study of socially enabled business exchanges in open source service  networks. Information Systems Research, 19(4), 475493.     Feller, J., Finnegan, P., & Hayes, J. (2006). Open source networks: an exploration of  business model and agility issues.    Groen P. , (2012, December 23). Open Source Business Models ­ A More In Depth View      Krishnamurthy, S. (2005). An analysis of open source business models. Perspectives on free                          and open source software, 279­296.     LaMonica, M., CNET News (2006, April 10). Red Hat scoops up JBoss. Retrieved from  http://news.cnet.com/Red­Hat­scoops­up­JBoss/2100­7344_3­6059293.html    Massey, B., IEEE Software (2005, October 31). Open Source Business Models: Ready for                          Prime Time.     Montalbano, E. (2006, February 16). OBSC: Professional open source grows up. Retrieved                        from  http://www.infoworld.com/     Munga, N., Fogwill, T., & Williams, Q. (2009, October). The adoption of open source software  in business models: a Red Hat and IBM case study. In Proceedings of the 2009 Annual  Research Conference of the South African Institute of Computer Scientists and Information  14 
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