‘Ordinary Innovation’ of Mobile Services
Steinar Kristoffersen, Petter Nielsen, Jennifer Blechar, Ole Hanseth
University of Oslo, Gaustadalléen 23, N-0371 Oslo, Norway
Abstract: The anabolic growth of ‘dot.com’ — with 3G network license auctions as the grand finale — implied a series of large investments in mobile technology. Without new products and services utilizing this infrastructure (m-services), however, these investments may never be recollected, and today there is no sure sign of demand for these new “nomadic applications” in the market. This paper shows how actors in the m-services value network co-ordinate their efforts to bring such applications to the marketplace. It shows their risk averse and locally optimizing strategies, which theoretically is very different from the current fascination in IS with disruptive innovation. This paper illustrates the need for a theory of ‘ordinary innovation’ in nomadic and ubiquitous computing.
Introduction
The adoption of mobile services seems to be fading in the Scandinavian countries. This is not due to a lack of interest for mobile devices, however. Although some markets are almost completely saturated with respect to mobile phones (96% ownership in Norway
First half year 2004, Norwegian Postal and Telecommunication authority), there is still growth in hardware sales. For example, Norway and Sweden, currently among the most mature markets in this respect, saw a 25% increase in sales last year alone.
Network traffic is also increasing, with Sweden, Norway and Denmark showing a 10−20% growth in mobile-originated voice traffic time. However, the operators’ revenue in Sweden e.g., decreased by 2%
http://www.digi.no/php/art.php?id=114473, probably due to increased competition. According to analysts, new services will be required in order to secure growth and justify investments in next generation mobile telephony
http://www.digi.no/php/art.php?id=113043 (Vincent 2001).
Next generation mobile telephony is very much a product of the expansive business conjunctures towards the end of the nineties
http://wirelessreview.com/mag/wireless_grief_dotcom_era/. This period was characterized by its orientation towards radical innovation and technologies (typically internet-based), which would (it was claimed) radically change the industrial landscape which they entered
Insofar as we know, there have not been any systematic studies of the dot.com rhetoric as such. However, many good examples exist, cf. http://www.funkybusiness.com/funky/. For instance, one of the companies which we are currently studying was at one point devoted to developing “a revolutionary system that provides the user with easily understandable travel assistance before and during a journey.” Its ambitions included:
• Stunning use of 2D and 3D
• Cutting-edge technology and methodology
• Unique visualization
• Multi-resolution image representation
• Etc.
This type of rhetoric was not conflated by the burst of the ‘dot.com bubble’, however. The aim of most projects back then would be to create radically new functionally on top an infrastructure (the Internet) which had taken on almost mythological proportions, and of which it was though no-one could really envisage even, its limitations. This line of attack it seems, in many contexts, has become reified as the definition of ‘innovation’ as such. Indeed, many programs offering innovation studies and training in entrepreneurship is preoccupied with the idea of a start-up, unique ideas and the hard work of a dedicated, enthusiastic team
http://www.grunderskolen.no, e.g., or at http://www.hbs.edu/entrepreneurship/bplan/findteam.html where the business plan contest is a particularly good illustration.
Within academia as well and perhaps most coherently building on the framework of disruptive innovation as proposed by Christensen (1997), there has been lot of interest for this category of innovative processes. In this perspective, disruptive technologies are described as creating entirely new markets through new technology. This technology might initially be underperforming compared to sustaining technologies which are meeting the needs of the biggest, most profitable customers. However, it serves the need of a fringe segment of customers who would otherwise not be able to enjoy this functionality (in might, e.g., simply be cheaper or offer less mainstream, but still critical functionality for some). When technology development catches up with customer requirements (and, simplistically, “Moore’s law” implicates that it will) then it is too late for the incumbent to become competitive: The industrial landscape has changed.
In some of this literature, not only does it become apparent that disruptive innovation is a laudable objective, inasmuch as the alternative outcome is ‘extinction’ (Christensen 1997), but it is also one for normative or at least methodological steps can be taken (Christensen and Overdorf 2000; Cosier and Hughes 2001; Kostoff et al. 2004; Thomond et al. 2003).
Although we are not, in this paper, going to argue strongly against the perspective outlined above, we wish to present an empirical framework that as a supplement can help us better understand, on a more detailed level, the transformation in the telecommunications market as they unfold; over time as well as on a day-to-day basis.
Currently, mobile services show modest uptake and high price sensitivity. However, such services are embedded in a complex and not completely open infrastructure; there is fundamentally a high threshold for content providers wanting to come out into the marketplace with new services. They need access agreements with operators, they need a mechanism for billing and the medium itself is not sufficiently omnipresent for it to be useful as a marketing platform; content providers have to market their products in other (and more expensive channels) such as magazines in order for consumers to become aware of the services. Additionally, consumers are still quite demanding and competition is tough. For service providers and developers, therefore, the risk is high. This is a situation in which actors have to coordinate their work finely and with a perspective of reducing risk, or they might end up in bankruptcy.
One of the biggest challenges in this emerging industry is to develop efficient and reasonable “value chains”. Making and managing value chains can be seen as coordinating business models and practices. Therefore, this paper will explore the ways in which coordination, which we find of primary importance, takes place between actors in the mobile service network in Norway. Three case studies, representing a content provider, a content aggregator and the network operators will be presented and discussed.
The next section of this paper will briefly discuss existing theories used in the mobile telecommunications arena. This will be followed by an overview of the three cases. The results of the case studies will then be presented through the discussion followed by the conclusion.
Related research
There have been quite a few studies carried out on ‘m-business’ from various perspectives over the last several years. Telecommunications was (and is) an integral component of the promise of exponential growth of industrial activity and wealth that was made by the ‘new economy’. Clearly, these promises were overly optimistic, but even though developments in this sector have fallen somewhat short of expectations, we are still witnessing a tremendous technological advancement in wireless networks and mobile technologies. Thus, this area has been faced with renewed interest in the research field.
Some of this recent research is oriented towards analyzing industrial developments in the telecommunications industry and the emerging business relationships on a macro-level. For example, Lyytinen and King describe an innovation framework for the wireless industry (Lyytinen and King 2002). Their model of the innovation system, the market and the regulatory regime has been adopted in studies of the mobile arena in different regions (cf. Yang, Yoo et al. 2003; Fomin, Gao et al. 2004). Although this model is useful in pointing to essential interactions and relationships, we found in our cases, an opportunity of going into some of the same aspects on a much more detailed, observable level.
There has been other work carried out within the same general tradition, but at a lower level of detail. For instance, Camponovo and Pigneur (2002) and others (cf. Mylonopoulos, Sideris et al. 2002) focus specifically on an exploration of the various actors involved in the m-business arena to provide insight into changing roles and relationships in this market. While work such as this has been useful to provide general guidance to the structure and composition of the mobile services arena, most contributions are primarily conceptual, rather than empirical. We believe that empirical contributions are warranted as well, and that they are indeed a necessary prelude to developing a coherent theory of this emerging domain.
Mobile services in Norway
We will now turn to our cases: The Norwegian mobile network operators’ (NetCom and Telenor) CPA (Content Provider Access) platform, MultimediaContent.com’s
Names have been changed for anonymity mobile content distribution and mPay’s mobile payment solution. Briefly, the CPA is a set of services that gives content providers access to the SMSC
Short Message Service Centre-based infrastructure of the telecommunications network, as well as the billing services that make it possible (in a cost-effectiveness perspective, at least) to charge users for low-cost services. MultimediaContent.com is a content aggregator. Primarily, the services that they provide are:
Managing suites of content (games, ring tones, logos) for mobile portals,
Marketing towards end-users as well as operators, and
Testing content for various handsets.
mPay is both a content provider and a payment solution, providing a content service allowing users to pay for parking using their mobile phones and (in the future) a mobile payment solution service to content owners/aggregators. A simple view of our cases, then, is that they include a content provider (mPay), a content aggregator (MultimediaContent.com) and the operators (Telenor and NetCom).
Data was collected from our cases through a variety of qualitative methods. Related to the implementation and operation of CPA, a total of 39 formal interviews were conducted with managers, designers and system developers in a total of 23 different organizations. Interviews were recorded and fully transcribed and included the network operators as well as the largest aggregators and content providers. The field site selected was thus not one organization, but rather a business sector with a range of actors which together provide the necessary resources, competencies and components to make up the platform. For the mPay case several in-depth interviews were conducted with the founder and other employee in the organization. These were recorded and semi-transcribed. Other informal discussions also took place and the data presented in this paper related to this case was reviewed and confirmed by the founder of the organization. For MultimediaContent.com data was collected in semi-structured interviews with three managers, plus document studies facilitated by a project database covering the period from 1999 up to present activities.
The technical infrastructure upon which this value chain is configured is SMS-based. Customer request content using SMS, and receive (to their handset) a SMS or a push-WAP message. The handset deals with the message either by displaying content directly, or fetching it across GPRS from a URL embedded in the message. The crux(es) of the wider business infrastructure will have to be found at the interplay and coordination of and between such actors, and we will present that next.
The CPA-platform
In 1997, the two Norwegian mobile phone network operators (NetCom and Telenor) launched platforms for exclusive content and utility-based SMS services for their respective mobile subscribers. Both attempts did, however, suffer from only being a part of a “value adding services” offering and thus receiving limited internal resources both for investments in technology as well as investing in content. While these platforms generated very limited traffic, the network operators came to understand that it was external third parties, rather, which had the initiative, time and resources to develop new service concepts. In addition, they appeared as being better equipped to know which services would be accepted by the market; how to market and price them “correctly”; in addition to being able to associate their brand with a wider variety of services than the network operators. Actors such as, for example, media windows, including newspapers, magazines and TV-broadcasters also demonstrated their ability to provide relatively inexpensive marketing space for their own SMS services. At the same time, these external actors were urging for market wide access to subscribers.
To meet this situation, the mobile phone network operators launched the public Content Provider Access (CPA) platform in 1999. While internal initiatives were taken by the network operators, proactive external actors played an important role in pushing the operators to introduce the platform. Their role in propelling the development of the platform has continued through for example application houses bringing together the network operators to develop service concepts such as interactive TV shows. The CPA platform enables external content providers to provide SMS services in a transparent manner, and charge subscribers for those services through the basic SMS structure (currently 0,15€−8€). Thus, the operators did not choose to compete on differentiation of services exclusively provided in one of the networks (as they previously had), but on the contrary pursued an “open garden” approach to increase the size of the total market. The typical content provided over the CPA platform comprises yellow pages, ring tones and logos, TV-interactivity (voting and chat), games, news, stock quotes, weather information, traffic information, horoscopes, jokes etc. This is today the basis for an economically sustainable business with a total annual turnover of approx 1 billion NOK (125 million €) in 2004, a substantial growth from 600 million in 2003.
Content acquisition is initiated by subscribers requesting content by sending an SMS (Short Message Service) to certain short numbers (e.g. 1999). The SMS is processed by the message center (SMSC) of the network operator and forwarded to the respective content provider by the CPA platform. Content providers have agreements (with similar request numbers and rating classes) with both network operators, making the platforms and the network operators transparent for the subscribers. The content provider returns the content to the subscriber via the CPA platform, and the cost which the subscriber is to be charged (on the regular phone bill) is specified with a rating class. Based on this, a billing request is sent by the CPA platform to the billing system of the respective operator. The revenue generated is basically shared between the network operator and the content provider as per an agreed (and standardized) revenue-sharing model (respectively 30/70).
The technical implementations of the CPA platforms by the network operators have been simple (both implementations were originally based on the previous platforms, only with additional open interfaces), at least partly as a result of these services still being considered as “value adding”. At the same time, because of the network operators’ legacies of message centers and billing systems in addition to the competition among them, close co-ordination such as standardizing the CPA-interfaces for content providers have not been feasible. These different interfaces is at least creating a higher entry cost for new content providers, however both integrators and aggregators provide support. While the integrators provide applications which deliver one common interface for the platforms, the aggregators further provide access to a short number and handle the administrative interaction with the network operators.
In table 1, a comprehensive picture of the value chain is drawn with roles and tasks. While the different roles appear as independent, several actors may play several roles. For example, large aggregators collecting content from several content producers as well as content providers commonly also act as content providers, application houses and integrators. Some media windows, such as media houses and TV-broadcasters typically capitalize on their content as well as their media window for marketing purposes.
Table . Roles and tasks within CPA
Roles
Tasks
Content producer
Content production
Content provider
Content production, service innovation
Aggregator
Service innovation, content aggregation
Application house
Service innovation
Integrator
Providing common interfaces to CPA platforms
Network operator
Transportation, billing
Media window
Marketing
Subscriber
Consume content services
Guidelines related to which services that can be provided, how they are marketed and how the subscribers are treated, have been important to avoid behavior that may jeopardize the market the CPA platform has created. However, coordinated guidelines were not formalized and introduced until late 2004 (based on regulations and discussions with The Norwegian Competition Authority, The Consumer Ombudsman and The Data Inspectorate). Up until then the majority of the content providers were cautious as not to bring the platform into too much attention from the media and further the authorities. Provision of content services for fixed line phones in Norway are strictly regulated when it comes to content; for pricing as well as revenue sharing models. The risk of the introduction of a similar regime for the CPA platform made content providers and network operators even more eager to avoid misuse and media attention.
The network operators’ delegation of the responsibility of developing new service concepts and bringing them to the market to external actors have shown successful in the sense of increased traffic and a much broader service offering. The CPA platform is not a detached platform provided by a network operator, but appears more like an assemblage of a range of different actors with their respective initiatives, investments and their technical components. On the one hand, the network operators have arranged for them selves a highly favorable revenue share model while still being in control of the value chain. At the same time, farming out the responsibility for further technical development to actors such as application houses, they are left with marginal expenses. On the other hand, the other actors are rather small, having the responsibility for developing new services and service concepts, and receiving limited revenues as they in the ‘worst case’ must share with several other actors (content producers, content providers, aggregators, application houses, integrators and media windows). Primarily being based on only a handful of employees, they are also usually opportunity based in the sense that they are narrowly focused on developing services which are ‘trendy’ and selling for the moment. They are thus neither very well equipped and thus not primarily focused on introducing new service concepts. As long as CPA is the only alternative for providing this type of content services, the services will at the same time have to conform to its business model and the kind of services it supports.
Mobile Content Distribution
Multimedia.com is an independent provider of mobile games and marketing applications. They started out in 1993 as a small start-up with grand ambitions and only two owners, both of which were employees. Today the company has around 120 shareholders. Early in the nineties the focus was on Internet-technology, games and direct (demographically-based) marketing and animation. Eventually Multimedia.com turned towards the mobile market during 1998-1999 and started working on algorithms that made 3D-animation on mobile phones possible via very limited bandwidth. This culminated in several successful demonstrations in collaboration with Ericsson (at e.g., Telecom 1999, CeBit 2000, GSM 2000, etc.)
Unfortunately, the market for such applications never really came about, and the company has been struggling since 2000 with finding a value proposition that customers (mainly operators) would find attractive. They have ended up producing and deploying consumer oriented content to mobile phones: Logos, ring tones and games. This activity mainly takes place in the subsidiary MultimediaContent.com Ltd, which has distribution agreements with several operators and “storefronts” on the web worldwide (Norway, China, Italy, Hungary, etc.). Over 100 content providers have entered into signed agreements with MultimediaContent.com Ltd, and they have also signed an exclusive five year commercial agreement with one of the larger divisions of a Chinese operator to provide premium SMS and data services. MultimediaContent.com has developed a technology-independent platform for mobile content management, provisioning and distribution, based on experiences from another subsidiary of Multimedia.com, DigitalMobility.com Ltd.
Distributing content to mobile terminals is based on SMS and WAP. SMS is the carrier for requests. WAP is the ‘application protocol’. The application server (which is, for all practical purposes, a virtual machine that makes its “applications” available on the internet via an interface that wraps simple data types in XML) creates on request (received via a SMS gateway, for instance) a Push Access Protocol (PAP) message which is then sent to the WAP push-enabled mobile telephone across SMS. The technical co-ordination, thus, is quite simple: The users send an SMS to the operator, with the name of the item that they want. The operators CPA-platform (or equivalent) recognizes the number, associates that with a content provider and queries their “MultimediaContent.com-platform” (or equivalent) for the URL of that item for that particular item. The application server gets the URL and produces a PAP which it sends to the Push Proxy/Mobile gateway. From there it goes to the user’s phone, which fetches the content suing WAP with SMS or GPRS as a bearer.
The technology involved is really simple, but the business is risky. No-one knows in advance exactly which “applications” (ring tones, games, logos, etc.) will bring in enough money to defend development costs (and recover sunk costs for failed attempts). When the first-movers successfully established themselves in this business, the costs of development were lower; there was less competition and the consumers were less demanding. Now, one must look at the co-ordination between actors in this setting from different angles, e.g., as parts of a political and tactical positioning towards a more mature market. The parties need to do practical knowledge management since they are not at all “self-contained” with regards to the competencies that are required to implement an “end-to-end” service. They need to implement risk management (and risk sharing) strategies, since succeeding with a “end-to-end” service requires a much greater investment than what each party can afford individually (given that they do not know in advance what exactly will become a “hit” in the market), etc. Therefore, co-ordination in the commercial aspects of this case is a lot more involved. It does the work of orchestrating many small contributions into a larger offering that the market, in sum, just might end up paying enough for. The various involved actors’ roles and their tasks are summarized in Table 2.
The roles presented in table 2 overlap nicely with the requirements of consumer content for the impulsive, highly mobile customer: The storefronts market content by building a strong brand name; they subscribe to content from aggregators who take the responsibility of testing the content for all the handsets supported by an operator in an area. Developers need aggregators in order to handle internationalization and testing for them. Operators are “bit-pipe-carriers”, plus they can do the billing effectively. Web hotels have an established role. It is probably not critical, but since most of these actors are small (typically 2-20 employees, which is already more than they can defend in terms of cash-flow), they would probably not be willing to try to handle hosting themselves for such small volumes of traffic.
Table . Roles and tasks in mobile content provisioning
Roles
Tasks
Game developer
Conceptualizing, implementing and carrying out programming projects which produce games, typically for the J2ME platform.
Content provider
Managing rights and technical adaptation of content for various platforms, such as ring tones, logos, etc.
Aggregator
MultimediaContent.com’s role. The most important task is to compile a set of appealing services and introduce them to “storefronts”, i.e., web-portals. They also test content for the relevant mobile phones in the market. The aggregator pays the developers.
Storefront
This is the media window that the consumer sees, e.g., on the web, which “brand” and present a collection of content (from various or only one aggregator) in their market.
Network Operator
The owner of the technical infrastructure makes sure that there is capacity and capabilities in the network to deal with the requests and the traffic. Moreover, in the mobile telecommunications industry, this is the “owner” of the customer and, thus, the role that can cost-effectively perform billing.
Web hotel
Stores the data. Any data. The telephone will fetch content here given the URL that it received.
To summarize, Multimedia.com started out trying to invent and introduce revolutionary and “disruptive technologies”. However, they seem to have ended up in a more modest “Kirznerian” role of an entrepreneur that “promote equilibrium” within the existing system as they “discover gaps, increase the knowledge about the situation and reduce the general level of uncertainty
Staffan Hultén, Stockholm School of Economics and Ecole Centrale Paris, and Bengt
Mölleryd, Stockholm School of Economics and Stelaco: Entrepreneurs, Innovations and Market Processes in the Evolution of the Swedish Mobile Telecommunications Industry, Paper presented at the Eighth International Joseph A. Schumpeter, Society Conference, 28 June – 1 July 2000 in Manchester.” Multimedia.com’s subsidiary MultimediaContent.com makes it possible for ‘small developers to take great risks’, by introducing their content together with a critical mass of others into a market that has a limited albeit smoothly coordinated business model.
mPay
mPay is a mobile payment solution developed in 2001, owned by Scangit AS in Norway. Currently this organization offers primarily a parking payment service, and has service agreements with private and public parking organizations in Norway such as EuroPark, P-Compagniet, the city of Oslo and other municipalities around the capital. The concept for this service is that customers are able to use their mobile phone in order to pay for or extend parking rather than using coins in the parking meter. The motivation for people to use the service is the convenience of not having to find coins and the ability to pay for the exact amount of parking used (no overpaying and no forgetting about the parking meter). While the mobile payment service is today offered only for parking, mPay hopes to expand their payment solution to other products and to other content providers in the future. Thus, mPay can be considered both a payment solution service and a content provider.
In order to use the mPay service, customers need to register via the Internet, entering their personal data including their credit card information for payment. This information is all stored by mPay. Once the customer is registered, they are able to use the service by sending an SMS message through their mobile phone. Payment for the services initiated by the customer is managed by mPay and performed in cooperation with major credit card banking institutions including Teller (formerly Visa Norway), Euroconex and Nordea. Once customers send an SMS message to pay for the product (parking), the message is transferred through to mPay, who matches the message with the registered customer information. This customer information including the billing information is then transferred to the banking institution on a regular basis for payment for the service. Thus, mPay is essentially a payment solution service that acts as an intermediary between the customers, potentially other content providers and the banking institutions, carrying none of the risk associated with the transaction.
mPay originated through cooperation with EMT, Estonia and, as a content provider for parking services, currently has only one main competitor in Norway – EasyPark. EasyPark was established in 1998 and is the current leader for mobile parking payment in Norway with approximately 12,500 customers. Both mPay and EasyPark afford customers the ability to pay for parking services through various means, including via major credit cards, such as Visa or Mastercard. While mobile payment for content via credit cards is not a unique situation in Norway and other services exist which also provide such capabilities, the mPay model is of interest as it offers the ability to establish payment for content via a channel not necessarily under the control of the network operators, as is the case for most services and models currently available in Norway. One of the few exceptions being ‘electronic wallet’ type services such as Payex, which resembles the mPay model as it provides customers a payment option other than one closely associated with the mobile network operators. The main differences being that Payex primarily requires consumers to ‘fill up’ their account prior to being able to purchase content whereas mPay debits or charges purchases directly to the credit or debit card as ‘content’ is purchased.
As a payment solution service, mPay has become another actor in the overall m-services value chain and hopes to offer a new alternative to content providers often frustrated with the CPA model described above. However, as a new actor, the roles and responsibilities of the various players in the value chain have shifted slightly where some tasks previously managed by the mobile operators, such as managing customer information or billing, are now managed by mPay (see Table 3). Just as in the CPA case, several actors in this value chain may play several roles, for example with mPay providing payment for parking services it is playing the role of a content provider as well as payment intermediary.
Table . Roles and tasks in mPay
Roles
Tasks
Network operator
Provide infrastructure and network
Content owner
Own content, agree content availability to market
Content provider
Provide content services to market, manage agreements with content owners
mPay
Manage billing for content consumed; manage agreements with content providers and banking institutions. Manage all customer information
Banking institutions
Provide billing for content consumed, manage payments
Consumer
Consume content services, register as mPay customer
Once the consumer is registered for the mPay service, mPay manages this customer information and the billing for content consumed. Actual billing for this content is handled through regular visa, MasterCard, etc. bills by the respective banking institutions as described above. Thus, one of the major changes in the mPay model versus the CPA model is the control of customer information and billing. In addition, because mPay essentially manages contact between customers, parking institutions (content owners) and banking institutions, the key to the mPay service model rests primarily on coordination and agreements, many of which were established and are managed through informal networks by the founder of the service. These informal channels have thus been a key to the initiation of the mPay service and its beginning successes in the market
Discussion
We can now explore the activities and the interdependencies between the cases while also investigating possible simultaneity constraints and eventual outsourcing of responsibilities and work. This will of course be quite a simplification, but still, it can perhaps point either in the direction of general trends in this market, or towards areas in which a future theoretical framework could be used.
In each of the cases, the activities and goals of the actors converge at a general level and can be discussed in relation to the coordination of processes surrounding content acquisition and distribution. For example, in establishing the CPA model, the primary goal for the network operators seems to have been to provide a channel for content owners to sell and distribute content (and thus generate network traffic) without giving up control of the physical infrastructure or the customer relationships that they currently have. Thus, the CPA model is a win-win for the network operators as it requires little effort on their part while they gain revenue in the form of revenue sharing from content sold, increased network traffic and increased potential customer support. The mPay model, on the other hand, can be viewed as one competing solution to this CPA model as mPay hopes to establish a relationship with customers themselves and manage billing information, etc. such that they can offer content providers another option for the billing of content. Finally, MultimediaContent.com is essentially a content aggregator with the objective to compile a sufficiently interesting set of services into one “packaged” offering, and then make a profit from “brokering” these services.
Coordination of these activities seems to takes place through standardized agreements and interfaces: The CPA is a “one-size-fits-all” contract with entrance costs that also serve as a threshold for small, independent content providers. Instead, operators want aggregators to deal with the content providers. The operators channel traffic through to the storefronts, which return input and the price to be charged, and accordingly initialize billing. Apart from that, operators (automatically) generate SMS and WAP push-messages through their infrastructure and all they see are SMS messages and URLs. Aggregators make sure that the content is tested and they take money from the storefronts, which they split between themselves and the content providers. Again, this is regulated by standardized contract (in the MultimediaContent.com case). Similarly, mPay mediates a standard contract between the customer and the banking institution. Basically, they are virtual “machines” that imprint the voucher and send an electronic copy to the credit card company.
Looking at these three cases together, it becomes clear that a lot of the coordination work that is carried out aims at reducing risk and minimizing variable expenses for each of the actors. For example, mPay’s role as an intermediary allows them to offer content without carrying any risk associated with the transaction, leaving this to the responsibility of the banking institutions. Similarly, the CPA model essentially alleviates the operators from any risk associated with unfavorable or illegal content by positioning this task with the content aggregators. At a general level, this all is a strategy of optimizing locally, and it is not really representative of tremendously innovative or “disruptive” technologies. This is perhaps the single most interesting point that can be identified from our fieldwork: There are no ‘disruptive’ technologies at play, and this is certainly something worth looking more keenly at in future research. For instance, Multimedia.com, as a typical ‘dot.com’ company with highly ‘disruptive’ ambition ended up (finally) being successful at making a modest profit from locally optimizing one existing step of the value network in telecom, rather than revolutionizing it.
What then is the effect of this local optimization? We think that the question should be turned around: What is the reason that we see such local (rather than systemic) optimization? Given that most of the current services offered today (all except the yellow pages) are rather lightweight and carefree entertainment services, which are bought by the customer in a spur-of-the-moment impulsive transaction, the cost of building, marketing and billing is rather out of proportions with the actual price that one can expect the user to be willing to pay. Building an ‘innovation infrastructure’ on top of which new businesses and truly innovative application ideas can be deployed is a tremendous challenge, which we will continue to address in our research. And while the network operators have created new business for content providers by implementing CPA platforms according to a “open garden” philosophy, the platforms implemented are only minor extensions of their existing infrastructure and the network operators’ control over the value chain is far from being challenged and deconstructed into a value network.
Within these case, the interdependencies are evident, much of which is related to the ‘outsourcing’ of various tasks and processes. For example, MultimediaContent.com outsources the hosting of content, either ‘back’ to the storefront or to a web hotel. This is not an ideological choice, instead it is rather pragmatic. The mother company has a lot of competencies in this area but they are all located abroad, a country from which the Internet capacity is limited and unreliable. Perhaps the most important resource in the emerging market of mobile services is the presentation of services in the context of marketing. In order for customers to impulsively buy indifferent content, such as ring tones, logos and games, the marketing has to be ‘pushy’ and strong. Therefore, such a simple resource as the common short number (e.g., 1999) for services across operators is a valuable resource. For the content providers, access to the validated customer database and the factoring services of the operators or credit card companies is a valuable resource. The CPA provides the necessary mechanism for preparing and pushing the WAP messages with content or URLs to the handsets.
Coordination in this emerging industry seems to be mainly about managing loose interdependencies in a non-linear value chain of actors. They are not concerned with traditional manufacturing challenges of optimizing their production lines, or even working together towards a common goal. Nor are they (as in the alternative ‘dot.com’-conception of the telecommunication industry) concerned with crafting an entirely ‘new economy,’ which will revolutionize large parts of the society. The reality seems to be rather in the middle. Actors coordinate their efforts so that they can ‘hedge’ their value propositions through creating critical mass and sharing risk related to development and marketing. Thus, they can secure a minimal cash-flow and, simply, keep going.
Conclusion
Over the past decade, we have seen tremendous growth in the telecommunications sector. On the other hand, growth has not been uniform. Vendors still see increasing sales of new devices. A lot of it is marketed by promises made about appealing new services that will be made possible by the “next generation” technology. These promises, however, remain mainly unfulfilled. Starting to uncover why this is the case and putting ourselves in a position from which remedies may be proposed, we have analyzed one excerpt from the value chain of this industry. Although, at this stage, chiefly descriptive in nature, our research aims to create a constructive intellectual platform.
Our ambition is to move on with more in-depth studies of this field. It should be guided by a clearly defined knowledge interest, which partly has been inspired by the findings of this paper: Why do actors only successfully engage in limited exploitation of the ‘next generation nomadic computing’? Why are there such a limited number of new applications being developed and, to the extent that they are, why is the end-user adoption so modest? The contribution and development of theoretical frameworks play an important part in understanding this picture. Good analytical mechanisms may help us understand how the field is unfolding; they provide useful concept and predict change. However, empirical studies such as those presented in this paper are a necessary platform for such work in the next instance.
References
Camponovo, G. and Y. Pigneur (2002). Analyzing the Actor Game in m-Business. Proceedings of the First International Conference on Mobile Business, Athens, Greece.
Christensen, Clayton M. (1997). The Innovator's Dilemma. When New Technologies Cause Great Firms to Fail. Harvard Business School Press.
Christensen, C. M. & Overdorf, M. (2000) Meeting the Challenge of Disruptive Change. Harvard Business Review, March-April, pp. 67-76.
G Cosier, P M Hughes, The Problem with Disruption, BT Technology Journal, Volume 19, Issue 4, Oct 2001, Page 9.
Fomin, V. V., P. Gao, et al. (2004). The role of standards and its impact on the diffusion of 3G wireless mobile services. Proceedings of the European Academy for Standardization 9th EURAS Workshop on Standardization, Paris.
Funk, J. L. (2001). The Mobile Internet: How Japan dialed up and the West disconnected. Kent, UK: ISI Publications.
Kostoff, R.N., Boylan, R. and Simons, G.R. (2004), Disruptive technology roadmaps, Technological Forecasting and Social Change, 71, pp. 141-159.
Lyytinen, K. and J. L. King (2002). Around the Cradle of the Wireless Revolution: the emergence and evolution of cellular telephony. Telecommunications Policy 26(2): 97-100.
Mylonopoulos, N., I. Sideris, et al. (2002). Emerging Market Dynamics in the Mobile Services Industry, White Paper WHP-2002-01: MobiCom Consortium.
Thomond, Herzberg and Lettice (2003). Disruptive Innovation: Removing the Innovators’ Dilemma. Knowledge - British Academy of Management Annual Conference, Harrogate, UK, September 2003.
Yang, H., Y. Yoo, et al. (2003). Diffusion of Broadband Mobile Services in Korea: The Role of Standards and Its Impact on Diffusion of Complex Technology System. Workshop on: Ubiquitous Computing Environment, Cleveland, Ohio.
Vincent, G. (2001). Learning from i-mode, IEEE review, 13-18.
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