Open Education, efficiency, collaboration and management

Ben Janssen, a former colleague who started his own consultancy on change and (open) education, and myself discussed several experiences we have with open educational resources and alike.

In this context he made an interesting remark, as Ben often does. In his view, Open Education is not only a public good, but can also be used as a communication channel. As he stated:

“in my work as an external consultant I often find that departments within an organization are working on the same projects, starting the same pilots and the same programs”.

Even over organizations he sees the same phenomena: organizations who work on the same projects without knowing what happens a stone throw away.

By opening up, organizations make this kind of information available for potential partners. In the same sense as commercial organizations try to innovate through openness and collaboration, offering knowledge and materials invites others to collaborate and improve on the original resources. Yet, as in open innovation, organizations should do so from their own strength: giving away your core competences is bad business, even when you’re not in business.

So opening up education in this way offers the possibility to share programs, or as Wiley (2014) argues, developing competence profiles and the accompanying programs, techniques and assessments.

By offering open competence programs, more institutions can develop new experiments based on these programs, improve and change the programs, which will feed back in the education of the original developers. This line of thought opens an interesting question: What is the core competence, resource, program or technique of a specific educational institution? What is the distinctive characteristic which distinguishes one HEI from another?

There is also a dangerous side to these possibilities. We know that both governments as boards of HEI’s have seen Open Educational Resources, MOOCs and other open educational materials as a way to reduce teaching costs. It causes a paradox: using OER can decrease teaching costs, producing OER will increase costs of the organization. The sensible management decision will be to demand that people use OER in their teachings, forbidding them to produce free materials for others.

In the ’70s of the former century, this was called the innovation paradox and used to explain why the national level of innovation will be below its potential level. Cure for this paradox is a good system of IP’s, so the inventing firm can also secure the income of the innovation.

This remedy is of course impossible in a system which is built on openness. Protecting OER with IP-rights would remove the essence of sharing.

So accepting that:

  1. the production of OER is costly in the sense of hours spend;;
  2. there is none or little incentive for an individual organization or department to offer free materials and programs in isolation;

    and assuming:

  3. that open education will increase efficiency (lower overall costs of education) and,
  4. increase effectivity (best materials will be used, freeing resources for additional teaching and teaching materials),

there has to be an external force redistributing income over the producers and users of OER.

This could be an internal authority, for example the board of the HEI, which can stimulate the development and use of the same supporting courses (for example, the development of an open course on statistics for non-mathematical studies; developed by the intern mathematical department). The development costs can be earned back as usage outside the own department is rewarded by additional funding by the board.

On a national level, government agencies could reward the supply and use of open courses by subsidizing the suppliers, without punishing the users by cutting back there teaching funds (which in itself is not a challenge for the HEI’s, but more for the politicians to resist the temptation to save money on the education budget).

Yet, by reading each other signals in the sense that organizations will open-up non-core courses; collaboration in these fields can make education more efficient and effective. As Janssen said, collaboration needs communication.

Specialised teachers can provide free courses for non-specialist students, freeing sources to develop better and more courses, flipping the class room and freeing students from uninteresting class room lectures.

A win-win situation could be possible if we would agree to communicate our “weaknesses”, offering our “strengths” to our colleagues.

Literature

Wiley, D., (2014), The Open Education Infrastructure, and Why We Must Build It, July 15, 2014, http://opencontent.org/blog/archives/3410, accessed December 18, 2014

A Business Model for a research and education

Recently, I was asked to suggest a business model for a research and education center. Some organizations aimed to work together in the field of innovation and regional knowledge sharing. Aim is to make the center sustainable in the sense of Yunus et al. (2010). They describe Social Businesses as an organization which aims to earn enough to renew the invested capital combined with social profit maximization: At the same time as trying to achieve their social objective, social businesses need to recover their full costs so they can be self-sustainable.

Already several earning models of the kind Rappa describes at his website were discussed, however, a business model involves more than only an earning potential. So starting out with the assumption that in research each question is unique, this defines n=1. The methods of academic research may be more or less modeled in a stage model, each query will need different data bases, different academic specialties and competences.

The same applies for education. Taking aside learning styles and other contextual  factors, the group of intended learners will have specific work and practice related needs.

This suggest that at the input side r=g, a network organization is needed to meet the demand of the customers. The business model has to take the r=1-n=g philosophy of Prahalad (and others) into account. Central questions are

  1. how the network organization can attracted the necessary resources to organize the activities  needed to fulfill the unique demands of the customers?
  2. How to organize the earning model to make the center self-sustainable as a social business.

Education and research as a network organization

Note that in a network organization there are two sets of key resources and key activities as mentioned in the Osterwalder-Pigneur business canvas: firstly the resources and activities aimed at fulfilling the needs of the customer, the realization of the value offering. These factors have to be found in the relationships which make up the network of the organization. The key resources and activities within the organization have to do with setting the conditions necessary to activate the former external resources and activities. The internal resources and activities as relationship management, ‘the black books’ and communication and organizational skills are the core competences of the network organization. Money is often an important persuading factor, but reputation, knowledge sharing and strategic issues can also convince organizations to work together in a network setting.

A business model for an education and research network organization

The assumption is that the main customers of such a model are other organizations, having specific research questions, wanting to school their employees. The aim of the network organization is to match demand by organizing its partners into a relevant supply.

The actual business model is inspired by a model some colleagues of mine had developed some years ago for a HEI. It consists of different layers, each aimed at a specific audience, but building on each other.

The major difference between the layers is its amount of openness and the facilities offered. The first layer consists of free information, free courses, OER and research rapports. This layer offers free products and services for interested parties. The only restriction is that one has to register with an real email-address. There are several potential sources of income in such a case:

  1. Selling marketing space to third parties
  2. Internal subsidies because of the marketing of other products and services
  3. External subsidies because of the dissemination of knowledge
  4. Analyzes and sales of data on potential customers; email addresses ect.

In terms of Rappa’s earning models this is a combination of the advertising and the infomediary model. In Rappa’s taxonomy, the Freemium model of Anderson (giving away something for free; earning an income by offering additional services or products) is part of the advertising model.

In the second layer (registered) visitors find a supply of standardized service and products, for example courses based on existing courses of the participants, workshops and alike. Interested parties can either participate or buy products on a pay-as-you-go base, or –in the case of changing offerings- take a subscription. The utility model assumes the first case, whereas the subscription model differs from the description here as they assume the subscriber also to be a member of the network.

Here, I would label the participants of the last two layers as members. Members of the third layer become part of the community in the sense that they can freely use courses and existing research. Furthermore, they can participate in discussions and influence the direction of new research and the educational course of the center. This level can be compared with a regular student at a HEI, who has pays a yearly fee and is during that year free to use all the facilities and courses at the institute.

Of course, for specific studies or custom made courses and other on-demand the subscribing member has to pay an additional fee. The fourth layer consists of the full participants, the suppliers of services and products supplied in the three other layers. New full participants should pay a fee reimbursing the others for the initial investment costs, getting the right to promote and sell their own products and services within the center.

Open Education                                   – free (registered) entry–                   Open Access
Courses                                                     – pay as you go –                                 Studies
Programs and custom made courses          – community I –                   Original research
(New) Producers                                           – community II –                   Founding fathers

Overall, such a center will act as a broker between the participating organizations and individuals or organizations seeking the products and services on offer. In the brokerage model, income is earned by charging a commission or a fee either based on actual transactions or as part of a general agreement. Yet, at each level data is generated which could be used to create value for (potential) customers and partners, again creating income. Another additional source of income could be regional and national subsidies as governments often stimulate geographical collaboration.

Changes are that an actual implementation of such a model will require some adjustments, for example the privacy regulations with respect to adjustments to the gathering and usage of data are strict; in a world of ever falling government budgets, subsidies may be small or non-existent.

Still, a business model which generates income through its communities can afford to sustain Open Education and Open Access (research), which in itself will not be sustainable.

It would, therefore, be interesting to see if an institute or center build on these principles would be self-sustainable in the sense of Yunus et al (2010), combining a social goal (Open Education, Open Access), while at the same time covering the full costs.

http://www.opencoffeeoss.nl/open-coffee/

Source: http://www.opencoffeeoss.nl/open-coffee/

Literatuur

Yunus, M., Moingeon, B., & Lehman‐Ortega, L. (2010). Building social business models: lessons from the Grameen experience, Long Range Planning, 43, 308‐325

It has to be Open: The Lau last performance at PinkPop

What is Openness in Open Education??

In general, there seems to be a tendency towards openness in society.

Ilustation from Magelia WebStore, https://www.magelia.org

In the sector of Information Technology, we see the Open Software movement, a movement in which people share knowledge, resources and products for free.

The Open Educational Resources movement strives to generate educational resources, which are shared for free (although often developed using subsidies of national governments and private institutions).

In the publishing sector, we see a discussion on Open Access; free access to scientific (subsidized) publication.

In industrial sectors, we see a discussion on Open Innovation (Chesbrough, 2006, de Wit and Meyer, 2014); the idea that most knowledge will be developed outside the firm. New knowledge, necessary for innovations, has to be bought, sold or shared. (Information) Technology increases the possibilities for innovation on a small scale. Sharing of knowledge and resources is a major force behind the MakersMovement, in which small inventors design, prototype and -eventually- distribute their innovative products or services (also see Anderson, 2012).

Wiley (2014) – in his discussion on Moocs – defines openness in education as the transition of ‘open entry’ (in the sense of no entry demands from the Open Universities) towards ‘open licenses’, as in Open Educational Resources (OER), towards a possible  ‘open educational infrastructure’.

Open Universities over the world (generally) accept all kinds of students, independent of the level of former education. Yet, education in this case is not free; students have to pay fees, which can become a barrier despite the formal openness. So did a member of the Open University of the UK argue that it could be seen as a social obligation to set entry tests. Given that students have to pay certain fees, it would be unfair to let them make debts for a couple of years, after which the university concludes that they are not capable of finishing their study.Since the nineties of the last century, several organizations worked on the development and distribution of free educational objects. These objects were termed Open Educational Resources in 2001 by the Unesco (1st Global OER Forum in 2002). This openness is defined over five dimensions (the 5R activities, as defined by the Unesco (2012):

  • Retain – the right to make, own, and control copies of the work (e.g., download, duplicate, store, and manage)
  • Reuse – the right to use the work in a wide range of ways (e.g., in a class, in a study group, on a web site, in a video)
  • Revise – the right to adapt, adjust, modify, or alter the work itself (e.g., translate it into another language)
  • Remix – the right to combine the original or revised work with other open works to create something new (e.g., incorporate the work into a mash up)
  • Redistribute – the right to share copies of the original work, your revisions, or your remixes with others (e.g., give a copy of the work to someone else)

© Chad Anderson | Dreamstime.com

Another general model of openness is the 5-components model for open education (5COE) of Mulder and Janssen [2013, figure 2]. This model unbundles the different activities into three components on the supply side and two on the demand side.

On the supply side they distinguish:

  1. Open educational resources (OER) 2. Open learning services (OLS): online and virtual activities which are available either free or for payment, including assessments, exams and communities; 3. Open teaching efforts (OTE): all supporting activities as teaching, ict-support and other roles in (distance) teaching; these activities will generally not be free.

On the demand side they describe the following two components:

  1. Open to learners’ needs (OLN): open education should be free in the sense of time, space and tempo; however, it should also be affordable for everyone. 5. Open to employability & capabilities development (OEC): education should be open towards new and changing demands from society and the labour market, but also promote critical thinking, creativity and personal growth .

The unbundling of Janssen and Mulder (2013) had the aim to develop a potential earning model for HEI’s, combining paid activities with the supply of free resources. This was necessary because there was a feeling that the isolated development of open educational resources, as done by MIT (subsidized by the William and Flora Hewlett Foundation), or Saylor.org (offering whole courses, subsidized by Michael Saylor ( MicroStrategy Inc.)) were too much dependent on the goodwill of a person or foundation.

Others are building on Andersons 2009) Freemium model ). For example, the Free Software Academy, which offers free courses and paid tutoring within accredited programs. The Moocs developed in recent years often use a similar business model.

With respect to the openness of this model two remarks have to be made:

  1. there is a major division between several providers of resources, whether objects or full courses. All are open in the sense that using them to learn or teach is free (costless and no entry barriers), Yet, some do apply all the Unesco R’ s, some only part (both participating under different Creative Commons Copyrights), some are not reusable or adjustable at all. Especially Moocs are static in the sense that they cannot be changed or adjusted to new usage, sometimes new usage is actively discouraged. Furthermore, Most Moocs are only open for a certain period (often the period the same course is given in the original university).
  2. as shown by economic theory, obtaining money for products or services requires the possibility to exclude others from using the service or product. Unbundling to design a business model for open education means to draw a line between activities and products which are open (exchanged for free, but not necessarily costless) and activities which are closed (exclusively available for paying participants). Janssen and Mulder (2013) did use their model to show the possibilities of traditional and open universities to participate in the OER movement. Yet, it can also be used to explain the initial enthusiasm of xxx-investors to participate in the American Mooc-platforms. The expectation was that by offering additional activities, the platforms would generate profits. To guarantee the required exclusivity, participating HEI’s had to sign contracts which restricted their freedom in usage of the material placed with the platform. Data, but also third party contracting (in-company trainings ect.) became the prerogative of the platform.

Christensen et al. (2014) uses a similar approach to forecast a more disruptive development with respect to the (American) educational sector. Distance education, the competence based approach, the existence of high quality, accredited open educational materials offers commercial firms the opportunity to enter the educational sector, aiming at low cost segments and non-consumers (of existing education). According to them, it is only a matter of time before the last bastion of the traditional mixture of academic research and education, the accreditation organizations, will fall.

So unbundling education at an organizational level could result in unbundling at a sectorial or national level and a new division between open en exclusive forms of education.

Wiley (2014) moves openness even one level higher. He sees open education as  an open education infrastructure. With this he means a “set of interconnected structural elements that provide the framework supporting education”.

He concentrates in this on competence-based education. Developing competence profiles and the accompanying programs, techniques and need is costly and complex. By offering open competence programs, more institutions can develop new experiments based on these programs, improve and change the programs, which will feed back in the education of the original developers. Such a process should improve quality and efficiency of CBE-programs and the educational infrastructure. The same applies to assessments. In a CBE-world, knowing the exams will not increase a student’s chances (a reason for secrecy in a the more traditional educational world) as the test are competence based, and will judge performance rather than reproduction. Again, opening up your assessments will improve them by increasing usage, localization and experimentation. Wiley (2014) adds open certification to his open educational structure as a logical step following the definition of competence oriented learning objectives, teaching and learning using open educational resources; being tested through open assessments and using open certificates to show for the acquired competences. Openness of this kind will increase the quality and efficiency of the national educational system.

There are two important distinctions between these approaches. First of all, we can make a distinction between free activities and free products. As Michael Saylor is quoted at the Saylor.org website: Education should be free. Yet, at the website, a lot of courses can be found, however if we define education as the combination of materials, teaching, assessments and feedback, it represents only part of the educational activities.

The same seems to apply to the open education of Wiley (2014). He writes about the exchange of CBE-profiles, open exchange of assessments and alike. However what will be done with these products is not discussed.

The second distinction touches this point. Mulder and Janssen (2013) distinguish between the supply and the demand side. The supply side of the educational system are the teachers and HEI’s offering education to students; competent employees to employers and engaged civilians to society; forming the demand side of the system.

Openness on the supply side seems to concentrate on educational resources, whether teaching materials, assignments or CBE-profiles. The aim of the resources is to support and improve teaching by making materials available, but also stimulating quality through discussion and improvement of existing materials.

Openness on the demand side is about the freedom to participate in education. This is about the removal of entrée barriers. These barriers can be formal (admission restrictions), financial (high fees, large additional costs) or otherwise. The OECD (2014) rapports on tuition fees . These range from non (eg. Austria, Greece, Finland) to € 1950 in the Netherlands. Outside of Europa, the average fees are higher: Canada (approx. 4,000 USD), UK and the USA (approx. 5,000 USD) .

Other barriers, however, may be even more important especially in later-in-life education, as the combination between education and work.

Open education is different from free education; yet in my opinion, openness should be about removing barriers for learners, not only on providing resources for teachers.

Literature

Anderson , C., (2009) Free: The Future of a Radical Price, Hyperion

Anderson , C., (2014) Makers: The New Industrial Revolution, Crown Business

Chesbrough, H. (2006) Open Business Models, Harvard

Christensen, C. M., M. B. Horn, L.Caldera, & L. Soares, (2011) Disrupting College: How Disruptive Innovation Can Deliver Quality and Affordability to Postsecondary Education http://www.americanprogress.org/issues/labor/report/2011/02/08/9034/disrupting-college  (accessed April 4 2013)

Mulder, F.,  B. Janssen (2013, in Dutch) Open (het) onderwijs, Surf Trendrapport, http://www.surf.nl/en/knowledge-and-innovation/knowledge-base/2013/trend-report-open-educational-resources-2013.html (accessed October 2014)

OECD (2014) Education at a Glance, http://www.keepeek.com/Digital-Asset-Management/oecd/education/education-at-a-glance-2014_eag-2014-en#page1 accessed December 2014.

Unesco (2012), Declaration of  Paris, http://www.unesco.org/new/fileadmin/MULTIMEDIA/HQ/CI/WPFD2009/English_Declaration.html, retrieved September 30, 2014

Wiley, D.,  (2014), The Open Education Infrastructure, and Why We Must Build It, July 15, 2014, http://opencontent.org/blog/archives/3410, accessed December 18, 2014

Wiley, D., (2014), The MOOC Misstep and the Open Education Infrastructure,  July 15, 2014, http://opencontent.org/blog/archives/3557 , accessed December 18, 2014

Wit, de B., R. Meyer (2014), an international perspective, 5th edition, Cengage Learning

 

The Crowd and Open Education: resilience and sustainability

Updated July 21 2014

 Update:

A relevant quotation I found in my notes:

Paul Stacey

Crowd learning

Crowd learning describes the process of learning from the expertise and opinions of others, shared through online social spaces, websites, and activities. Such learning is often informal and spontaneous, and may not be recognised by the participants as a learning activity. In this model virtually anybody can be a teacher or source of knowledge, learning occurs flexibly and sporadically, can be driven by chance or specific goals, and always has direct contextual relevance to the learner. It places responsibility on individual learners to find a path through sources of knowledge and to manage the objectives of their learning. Crowd learning encourages people to be active in setting personal objectives, seeking resources, and recording achievements. It can also develop the skills needed for lifelong learning, such as self-motivation and reflection on performance. The challenge is to provide learners with ways to manage their learning and offer valuable contributions to others.

 

Deloitte University Press published an infographic on crowdsourcing. Crowdsourcing is defined as “an approach to harnessing the power of individuals to work to solve problems in a decentralized way”.

They distinguish five different kinds of crowd sourcing, using the crowd’s creativity and knowledge (competition, collaboration and voting), its funds (funding) or its labour power (labor). According to the writers, Rob Hamill, Emily Malina and Elizabeth Pal, each form of crowd sourcing is applicable in certain situations and will be contra-productive in other situations.

The table below gives an overview of the different ways of crowd sourcing, the video has some funny examples, starting with 1714 as start of one of the first crowd sourcing projects.

 

Form Pro Contra
Crowd CompetitionCrowd competition refers to the hosting of contests in which participants work individually or in groups to come up with a solution to a given problem. The outputs may include many viable ideas or solutions.
  • creating actional solutions
  • developing prototypes
  • Generating outside ideas
  • predetermined desired outcomes
  • lack of resources to review submissions
  • building community
Crowd Collaboration
Crowd collaboration requests the input of decentralized individuals to develop, aggregate, and share knowledge and information across a pool of contributors, generally through a loosely controlled web-based platform. The typical outputs of a crowd collaboration effort are collective concepts with shared buy-in.
  • building and sharing knowledge
  • responding to emergencies
  • shared policies
  • User anonymity
  • Small and inactive crowds
  • Promoting individuality
Crowd Voting
Crowd voting is the process of turning to the crowd to reach a decision. This practice typically involves inviting participants to help make a decision based on pre-defined options.
  • Decision making
  • Rating and ranking
  • Quality assurance
  • Strategic decision making
  • Political sensitive issues
Crowd FundingCrowd funding is the process of funding projects through small contributions from a large group of participants. Crowdfunding activities are typically hosted through web-based platforms.
  • Fundraising
  • Disaster relief
  • Start-ups
  • High transparency

 

  • Ongoing operations
  • Loosely structured initiatives
  • High short term expectations on returns
Crowd Labor
Crowd labor refers to the engagement of a distributed labor pool to accelerate the completion of large-scale projects by splitting up a task into components that require little creativity or coordination but that cannot be automated.
  • Creating actionable solutions
  • Data entry and validation
  • Translation (eg language)
  • Digital archiving
  • Unstructured tasks
  • Subjective tasks
  • High-level thinking

As I argued before, the sustainability (or resilience to use a new buzz word) of business models for Open Education will depend on the inclination of people and institutions to cooperate either on the input/production side as on the user/learner/consumer side of the business model. As crowd sourcing is a form of this kind of collaboration, it could generate knowledge on the the potential success factors by reversing this table and apply the pro’s and contra’s to different systems of Open Education.

Crow Labor is one of the most used forms of Crowd Sourcing in the development of Open Educational Resources. Organisations as the Saylor.org, Merlot.org rely heavily on materials of others. However, this kind of free labour has also some aspects of Crowd Collaboration because it is not necessarily about projects which “require little creativity or coordination”.

Crowd Competition is seen in situations in which organisations as the EU, Hewlett foundation or the American government ask for proposals which will be subsidized. On an individual level, these calls will be passed on towards teachers and other educational developers to come up with the creative solutions to win the funds.

It can also be used as an instrument to start-up a new data-base or website on educational resources and programs. By setting a suitable reward, the system can generate a certain minimal critical mass, above which it will be interesting for other partners to participate.

Crowd Voting is often used to give an indication of the quality of the resources or programs. For a ranking to be functioning, there have to be enough votes and the voting public has to be something of an “in-crowd” of experts.

The remaining form of Crowd Sourcing is the financial form, Crowd Funding. According to the authors, this instrument is unsuitable for ongoing operations and loosely structured initiatives. Yet, I have the impression that several non-commercial projects depend on one large fixed subsidizer and a fringe of minor short-term donors.

Concluding, the examples of Open Educational Resources and Open Education show that the forms of Crowd Sourcing as described by Hamill, Malina and Pal is not complete; there are other situations which can only partially described by this taxonomy. Especially the voluntary participation in high-knowledge projects does not fit either the Crowd Collaboration nor the Crowd Labor definitions.

Still, the research in Crowd Sourcing should generate a further understanding of these kinds of collaboration: the free contribution and exchange of educational materials between individuals and organisations. A better understanding of these phenomena will enhance the changes of success of the Open Education movement.

 

Education, let’s blow it to bits or put it back?

At the end of the last century some business theorists saw the start of a new development. The combination of technological change and an increasing competition between firms would result in a concentration on the core competencies of firms. This has two results: every firm concentrates on the tings they do best. Survivors of the competition will produce the best for the lowest costs. If every firm does so, and the B2B system is organized well, customers get the best quality for the lowest prices.

Of course, recent years showed a mixed pattern. Concentration in the banking sector, combining different financial products and services within one organization, ignoring the specific competencies necessary (including control and organization) is one of the causes  of the financial crisis. Yet, as result of this crisis, we see an increase in start-ups, employee-buy-outs and the emergence of other forms of small enterprises.

It would be interesting to see what the industry triggers are which rule concentration versus fragmentation, but also success versus failure in the different industries.

Technological change and didactic experiments have broadened the variation of digital education with the introduction of Open Educational Resources and Moocs.

In line with commercial business we have seen two trends emerging.

So let’s blow it to bits ………………………

One trend is shared by economists as Christensen and educational managers as Fred Mulder (UNESCO-chair OER). Both envisage a division within the academical sector. Christensen sees a division between research and education as a disruptive factor in the educational sector. E-learning provides a vehicle for the emergency of low costs mass education provided by organizations which concentrate on the educational process, without the burden of academic research.

Mulder goes one step further, in dividing the educational process in different stages and services. He concentrates on the division between content, which should be offered as open educational resources, and services as tutoring and grading, which should form the base of organizational income.

** Added 13-02-14: As pointed out by Ben Janssen as a comment to this post, he and Fred Mulder stop here with their analyses (also see their chapter Opening up education in Trend Report: Open Educational Resources 2013). The next text is my augmentation of their arguments, not their reasoning.**

However, if different products and services within the educational sector can be offered using different business models, there is no reason why they should take place within the same organization. If all organizations concentrate on the activities which they do best (making materials (Moocs or otherwise), tutoring, grading), the combination, the fragmented model, should produce the best and most effective and efficient education possible.

Both the individual student as society as a whole will gain as education becomes more affordable, public subsidies can decrease and quality increases. Christensen, therefore, concludes his paper with a set of advises for the public sector to realize the predicted benefits.

Of course there can be several drawbacks: in the age-group of 12 – 24 education is also about socialization, which is absent in the fragmented model. Also, there can be a discussion if academic education is possible without fundamental research; although the best researchers are not necessary the best teachers. Lastly, the advantages of the fragmented model ignore so-called transaction costs. Students have to select the best teaching organization and grading institute, but also the best combination of those two. Teaching organizations have to search for information on the grading requirements and the best (open) educational resources. The government has to inspect and accredit several institutes. In contrast to Open educational resources and Moocs, the workings of the open market are not free.

Or put it back …………………………………….

Another aspect of the fragmentation into core-competence organizations is the need to cooperate. This cooperation can result either of a spontaneous organization, as we know of complex dynamics, or it can be the result of an intermediary organization. For example, Laura Czerniewicz sees as one of the reasons to be engaged with Moocs is the fact that it  “gives us an entry to talking about online learning …. with people with whom we have not had those conversations before” and  there is room to “experiment”  with new online materials.

From: http://www.workingpoint.com/blog/free-tools-for-entrepreneurs-collaboration/3591

Another interesting point Laura makes is that there is room for niche subjects. As Anderson has pointed out in his theory of the Long Tail, is that small percentages of the total demand can generate large numbers when the materials are available electronically and world wide. Some courses cannot be organized because of the lack of local students. If different organizations work together, they can combine the local interest into a sustainable (inter)national group of students. The same can be done in the case of to few qualified teachers on a special subject: by using the new technologies it should be possible to teach in different locations without extensive travel.

Again using the conclusions of research in the field of business co-operations, an interesting phenomena is that firms who compete heavily on the consumer side, will cooperate at the backdoor. For example, beer companies do their best to convince you that their beer is the best fitting with your life style, is the cheapest or the best quality. However, in most Western European countries all beer is sold in the same bottles and crates as the distribution and retribution of the bottles is organized together.

Question for educational organization is: what do you want to be? What is the identity you try to communicate towards your students? Given this strategic identity, you can determine your core competencies and resources. You can also determine all the non-core activities and resources.

These are the things which could be outsourced or developed in a common program. Courses like mathematics, statistics or English are often just secondary to the major program, international business, European law or psychology. Resources which could be freed by cooperation with other organizations could be used to enhance the strategic profile.

To me, working together to improve the quality and efficiency of education on a international scale seems a more interesting perspective than decreasing our organizations into atomic cores which orbit the potential students without any sense of curricula or programs; being totally dependent on the authority of some external agent who sets the requirements for a degree. Yet, if education is left to the open market either because of the ruling ideology or because of the lack of public funding, there is no guarantee that cooperation will overcome competition.

Creative Innovation thanks to the wisdom of crowds

In this blog I would like to return to one of my earlier central themes: business models, co-creation and collaboration. As the Business Canvas of Osterwalder shows, there are two linkages between the value proposition and the customers: the customer relationships and distribution channels.

One of my students, Rick op den Brouw, wrote a Msc-thesis on critical success factors of co-creation. Based on nine case studies, he concluded that -among others- the chosen strategy of co-creation and the actual business model not always coincide (4 of 9). However, most of the theoretical expected results of co-creation, as an increase in sales and a reduction in risks, were realized.

©Business Model Generation by Alex Osterwalder & Yves Pigneur

Romero en Molina (2011) try to describe co-creation on a more concrete level. The role of the customers changes in this approach. No longer are they seen as the destroyers of the value produced by the firms. Instead, the act of consumption is seen as the ultimate contribution to the creation of value. A product or service not consumed is without value.

In this process of co-creation of value are several possible partnerships of the consumers.

  • Co-designers, in which customers are used as partners to generate, develop and test new ideas.
  • Innovators, where organizations give so-called toolkits to make their own products and services; the knowledge gathered in this process is used to improve the original product or service.
  • Marketeer/Branders, customers become marketeers, for example for event marketing or lifestyle marketing. Viral marketing, on-line word-of-mouth commercials is mentioned as one of the most effective instruments.
  • Social Corporate Responsibility, by entering a dialog with the customers as stakeholders, the organization can reach a common perspective with respect to the effects of a product or service on the environment. Customers are not only involved with the CSR of an organization as passive clients, they participate actively by using the products or services.

Technical and social developments facilitate collaborative networked environments, in which organizations collaborate with so-called con-colleagues. Romero en Molina (2011) call these networks collaborative network organizations (CNO). Although these play a central role in Prahalad and Krishnan’s co-creation, Romero en Molina (2011) do not go into the role of the CNO’s in co-creation.

Next to the organizations do customers organize themselves in on-line communities; Romero en Molina (2011) call these Virtual Customer Communities (VCC’s). The VCC’s are aimed at discussing shared experiences with products and services.

These communities can be used to realize eight different kinds of co-creation:

1. Adjusting Products (IKEA);
2. developing new products (Procter & Gamble);
3. Feedback and evaluation (Microsoft Knowledge Base);
4. Mass-customisation (NIKE);
5. Using customer creativity (LEGO);
6. Developing new services using old services (TeliaSonera);
7. Real-time marketing and adjustments to services (FEDEX);
8. Personified value and knowledge creation (IPod/Itunes).

The examples above require new core-competences. To realize the diversity of demands, to react to the increase agility and the increasing complexity, an organization has to be flexible, agible and adaptive.

In the contacts with (potential) customers and co-creators, the Virtual Consumers Communities play a central role. To stimulate the creation of the VCC around your products or services, Romero and Molina (2011) give ten tips:

  1. Invite the right customers, keep the community private and be familiar with the essential characteristics of the customers (which is more than the geographic or demographic facts).
  2. See members of the community as advisers, not as simple marketing instruments.
  3. Focus on the interests of the members, not necessary on those of the organization.
  4. Create common activities and rituals.
  5. Be open and honest, even as the facilitator of the community.
  6. If you want information, ask for it.
  7. Listening is better than talking.
  8. Don’t ignore the negative, learn from these comments.
  9. Don’t ask to much.
  10. Communities are about people, not about technics.

Romero en Molina (2011) concentrate their analyze at the customer side of the organization by describing the success factors of the VCC’s, giving less attention to the collaborative network organizations (CNO).

The research of Bengtsson en Kock (2000) concentrates on collaboration, especially on those firms which are both competitors as collaborators. They analyzed several companies in three different industries. For example, Skega Ltd. and Trellex Ltd. worked together developing new materials, whereas they are competitors in the field of lining materials. In the deary industry, companies work together in developing means of transport, but simultaneously protecting their geographical markets. In the beer industry, bottles are standardized so the collection of empty bottles can be done in cooperation  whereas they compete through lifestyle – marketing and brand loyalty.

The conclusions of Bengtsson en Kock (2000) are:

  • heterogeneity of resources stimulates collaboration;
  • firms collaborate on the input side of the organisation, whereas they compete on the output side;
  • – the decision to collaborate or compete is a strategic decision, it involves the position of the organization within the network;
  • individuals can not be responsible for both collaboration and competition;
  • the combination of collaboration and competition within the same organization will give rise to internal conflicts and stress, which should be addressed by the top management.

Combining Bengtsson and Kock (2000) with Romero and Molina (2011) we can state that with respect to the development of a N=1/R=G strategy, involving co-creation and networks, organisations have developed good practices with respect to the consumer side  but the development of virtual network-organizations lags behind. The rise of the Organization 3.0 (Marco Derksen) might be predicted, but not yet realized.

Literature:

Cover of "Business Model Generation: A Ha...

Bengtsson, M., S. Kock (2000), “Coopetition” in Business Networks—to Cooperate and Compete Simultaneously, Industrial Marketing Management, Volume 29, Issue 5, September, Pages 411-426

Romero, D., A. Molina (2011), Collaborative networked organisations and customer communities: value co-creation and co-innovation in the network era, Production Planning and Control: The Management of Operations, 22: 5-6, 447 -472