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CONTENT REPOSITORY REPORTS

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Environmental Scan of Pricing Models for Online Content
Report II
Business Models for Object Repositories


Prepared by Albert W. Darimont
http://www.darimont.ca

OnDisC Project
April 2002© OnDisC 2002


0. Executive Summary
1. Background 
2. Learning Object Repositories                                                           
3. Business Models - Value chain                                                          
4Funding Models                       
5. Discussion
6Conclusions
7Bibliography
8. Web Site References (Webliography)



5       Discussion

The Phase I report dealt with an environmental scan of pricing models for distributing online content to academic institutions. Pricing schedules for four online repositories of digital content - JSTOR, AMICO, SCRAN and ECO were examined and discussed in context with theory about product differentiation. Phase I dealt with the delivery of online content to academic in a general case and did not examine in detail how or why the content would be of value to those academic institutions. This issue is addressed in this report by considering possible uses of digital content by the users within academic institutions.

The digital content that the OnDisC Alliance members will be offering to academic institutions can be described as having a fine granularity, similar to say the offerings of AMICO - individual images with some text description for context, but not much beyond that. The objects will have of course rich metadata that will allow enhance access but OnDisC objects will be qualitatively different from those that are described as Learning Objects. Learning Objects by definition include features such as peer review by educators, rating (for age level and curriculum) and pedagogical organization intended to impart a learning response on the part of a user. They can be described as coarse-grained objects and will have within themselves finer grained objects, such as those offered by OnDisC, which may be called media objects. Learning Objects in turn are organized into larger structures such as courses, or lessons. A physical analogy that one could use is that media objects are like yarn that is woven into cloth (learning objects) that is cut and sewn into clothing (courses, lessons).

OnDisC, as an aggregator and distributor of media objects can occupy a level in a value chain between the content authors (or owners) and those that will use the media objects to construct larger grained information entities. In such a chain, OnDisC would add value to the fine-grained media by providing a many to one to many relationship making it easier for the content of many authors to find its way to many users. The users of media objects need not be only those that use them in the production of learning objects; media objects will be useful to all manners of higher level information including books, papers, theses, reports, essays, web pages, projects, presentations, documentaries etc. OnDisC then can be useful beyond the value chain of courses and training in academic institutions. Different institutions, such as K-8, 9-12, government organizations or corporations may each find a service like OnDisC useful, but since each of them represents fundamentally different markets, OnDisC would have to tailor a business and revenue model to reflect that.It would be beneficial to undertake some investigative research of  what the various types of potential customer organizations want and need in relation to the value added content and  services that OnDisC is planning to provide.

A recent Harvard Business Review article[4]discussed how a business model, syndication, commonly used in the entertainment industry is now seeing great application by Internet based e-commerce companies. Syndication involves the sale of the same good to many different customers who then integrate it with other offerings and then redistribute it. A classic example is the local television station that purchases the rights to broadcast a number of different shows produced by different studios. On the internet an example is the online brokerage house E*Trade which purchases a lot of content such as stock quotes, financial news, charts etc. from providers and repackages it with some of its own services such as trade execution. Both the television station and the online brokerage are in the business of aggregating syndicated content and redistributing it. Syndication is well suited for the Internet and the distribution of digital content because it allows for the easy duplication and transmission of modular content that can be aggregated and repackaged and sent to many distribution points. There are many parallels between a syndicate business model and the circumstances of OnDisC; it may be worthwhile to investigate syndicate business models more deeply.

The emerging online educational content brokerage organization UNIVERSAL appears to be one that is catering to suppliers of different levels of granularity of content, in effect acting as a marketplace for the developers of educational content in addition to the buyers and sellers of coarsely aggregated units (i.e. courses) which are a feature of most of the others such as Fathom or AEShareNet. OnDisC could offer its digital content collection as an aggregating supplier in a marketplace like UNIVERSAL or Lydia (or BELLE/POOL if they develop along similar lines). Alternatively, OnDisC could act as a syndicate and sell the rights to the entire (or substantial parts) collection to private or public content developing institutions.

A key factor in a business plan involving the distribution of digital content is the cost of digitizing content that was created and stored by traditional non-digital methods. In some cases, this cost can be very large, as was the case with JSTOR who undertook the digitization of many thousands of pages of paper journal articles to create a digital journal archive. As was discussed in the Phase I report, JSTOR charges users of their system an initial one time sign up fee to help cover these costs. OnDisC may have to follow a similar model to help members cover their digitization costs. A large-scale digitization project carries a certain amount of financial risk - that the users of the content may be unwilling to pay a price that is sufficient to cover the cost of digitization. One could argue that such a financial risk entitles the digitizing organization to a greater share of the revenue generated by the system as a whole. Such a formula of greater risk equals greater reward is common in the marketplace. One possibility of reducing such a risk would be to offer a just-in-time digitization of content in a manner analogous to the service offered by Document Delivery Services. The digitizing organization would require staff and equipment to respond to content “orders” and the ongoing provision of this service may in fact turn out to be more costly than digitizing the entire library of content at the outset. It is an approach worth investigating however. It should be noted that the JSTOR service is appealing to libraries because it competes effectively with a service libraries already pay for – namely the provision of timely access to back issues of journals held by the library. In the case of OnDisC there is no current comparable service that libraries subscribe to; OnDisC will have to compete in the arena of electronic collection development and it’s pricing should reflect the nature of that marketplace.

The major Learning Resource Gateways (LRGs), such as GEM, SchoolNet, and SMETE were all created and initially maintained by outside funding from government departments or non-profit non governmental agencies. Membership in GEM is free, but their website implies that this may not be a permanent privilege and membership fees may be charged in subsequent years. The GEM database includes pointers to non-free materials so charging a listing or referral fee could be a source of revenue for them. Both SchoolNet and SMETE have government and corporate sponsors who contribute resources be they people, in-kind services or financial. Although all of the LRGs acknowledge that plans for long-term sustainability are necessary, there is no indication that they are considering a revenue model that would charge end users, either individuals or institutions for access to the network. On the other hand, SMETE does include an end user charging scheme in its list of hypothetical funding models based which would take the form of an annual membership fee, or charging for access to different degrees of service.

One thing that all of the LRGs have in common is that they include access to “public” goods which are non-depletable and non-excludable. Once a digital “good” is produced there is no marginal cost for providing another copy of it for an additional user, and it can be given away at no cost. Paying for the first copy of a public good requires an asymmetrical pricing scheme in which the cost paid by the user takes the form of a formal or informal economic tax. In the case of a person viewing a television program, he or she pays a marginal surcharge when an advertised good is purchased. Hallgren and McAdams[5] discuss the application of a public good business model that was used by Cornell University during the development of GateDaemon, a key enabling software product for the growth of the Internet. Cornell created a consortium of organizations that valued the development of GateD and were willing to contribute the economic "taxes" to fund it. The venture has proven to be successful, and has vast spillover benefits invaluable to the growth of the Internet and the subsequent Internet "economy". Public Learning Object Repositories, such as MERLOT appear to be following a similar kind of asymmetrical revenue/funding model.

Commercial Learning Object organizations, such as Netg, SmartForce and LeadingWay sell their learning resources as private goods and therefore make them excludable (although their digital nature makes them non-depletable). Their use of Learning Objects in a private aggregation is to improve their internal efficiency at developing new "large-grained" learning content. Given their role as large grained content creators, OnDisC may be able to act as a supplier to them of finer grained content that they could use in building up their learning objects.

The pros and cons of various revenue models discussed in the previous section reveal which may be suitable for an organization such as OnDisC. Since OnDisC will have elements of both a public and private distributor of digital content it may be necessary to consider having multiple sources of revenue which are suitable for each type of business. For example, since OnDisC will be a provider of much content that is not-for-profit and copyright free, a revenue model similar to that of a "public"goods institution is appropriate. In such a model, funds for digitizing, cataloguing, and distributing content will come from sponsorships from a variety of sources such as government, academia and business. An important advantage of this kind of revenue model is that it will provide dependable support during the initial start up phase of the service.

Since OnDisC will also be a distributor of "private" copyrighted material there could be a separate business model that covers the unique aspects of the relationships between OnDisC and the providers of the content. In such a circumstance OnDisC may use a revenue model that is similar to that used by AEShareNet, in which OnDisC receives compensation from the vendors of content in lieu of the value added provided by OnDisC to that content, such as marketing, meta-tagging, rights management etc. Revenue from the "public" stream of the operation will have to be distributed amongst both the public and private content providers but probably a greater amount should be directed towards the not-for-profit providers. It should be expected that the private, for-profit content providers bear the cost of digitizing their content themselves, if they expect to be able to benefit from additional future revenue from such material.

OnDisC may also need to consider different revenue models for different kinds of markets, such as higher education academic, K-12 and professional education content developers.   For example faculty at a university may be charged less by OnDisC for copy-righted material that is developed for limited use within a single institution than if the same material was to be used by a education content developer that is planning on using the content in a product that will be offered for sale nationally. This is the case with AEShareNet, which uses two different kinds of contracts for matching sellers and buyers. They use three standard contracts for easy and quick sales agreements and a second kind of open-ended contract that allows the two parties to negotiate terms. AEShareNet receives a revenue premium for mediating the latter kind of contract. Similarly, OnDisC may have a separate kind of contract for institutions in the K-12 market segment that reflects the different nature of use and available funds that they will have compared with a higher education academic market.

It should be noted that OnDisC will offer access to a collection of digital content that may or may not be used by customers. Regardless of actual usage, the "potential" use of the collection is in itself a commodity of value and this should be reflected in the revenue model that OnDisC employs.

Finally, it should also be noted that in a broad sense OnDisC will have to compete with the free, co-operative Learning Object Repositories such as MERLOT and with the commercial suppliers of online educational content. In the case of competing with free content, OnDisC may successfully compete on the basis of the added values of scope of content and convenience, namely ease of location and use which includes minimal digital rights negotiation). In the case of commercial educational suppliers, OnDisC can compete by offering academic content developers the means to build their own custom designed Learning Objects and subsequent lessons, units and courses at significant cost savings.