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This paper was presented at the Association for Education in Journalism and Mass Communication in San Antonio, Texas August 2005. If you have questions about this paper, please contact the author directly. If you have questions about the archives, email rakyat [ at ] eparker.org. For an explanation of the subject line, send email to [log in to unmask] with just the four words, "get help info aejmc," in the body (drop the "").
(Jan 2006) Thank you. Elliott Parker ====================================================================
Emerging Media Business Models Worldwide: A Study of Leading Webcasters in 13 countries ABSTRACT This paper reports the findings of a 13-country comparison of webcasting business practices, and the results of a test of the robustness of the webcasting business model framework suggested by Ha and Ganahl (2004). The globalness of the webcast medium is also examined. The study establishes the variety of business practices by different types of webcasters, and the domination of domestic webcasters and domestically produced content in webcast services. 2 Emerging Media Business Models Worldwide: A Study of Leading Webcasters in 13 countries Television and radio media are no longer confined by the electro-magnetic spectrum, geography or license requirements. With the increasing use of broadband Internet connections in the world and the advancement of the streaming technology, the Web is becoming more and more popular either as the primary or alternative delivery medium for television and radio stations. For example, Home and Garden Cable Television Network began producing dozens of threeminute videos on best practices in homebuilding exclusively for its hgtvpro.com web site (Associated Press, 2005). The British Broadcast Corporation (BBC) reported 6 million unique visitors listened to 10 million hours of its streaming radio news via the Web in October 2004 (Radio and Internet Newsletter, 2004). The delivery of prepared video and audio content to Web users is called Webcasting. Webcast providers range from established television and radio stations such as ESPN.com (also known as clicks-and-bricks) to stand alone webcasting services that exist only online without any offline media counterparts such as Real Networks (pure-plays), to Internet service providers (ISPs) that also participate in the online media content delivery business such as America Online (AOL). This paper first discusses the growing importance of webcasting as an emerging global medium in the context of increasing broadband penetration and the inheritance of the participatory culture of the Internet by the webcast medium. Second, it addresses the importance of technical characteristics for understanding emerging media and reviews the research literature on the business models for online media. Third, it demonstrates the necessity of a cross-cultural model that enables the globalization of a webcasting industry by promoting the understanding of the dynamics between online and offline media that transcend individual markets. Fourth, it presents several hypotheses and a research question based on prior studies of online media 3 business models and media economics theories. Finally findings of an original research study of the leading webcasters in 13 countries are presented to test the robustness of the online media business model theory proposed by Ha and Ganahl (2004). Significance of webcasting as an emerging global medium The development of audio and video service on the Web is significant to the consumers and media industry at large. Unlike text-and-graphics-only web sites, webcasts of audio and video can transform a web site into an entertainment center providing a full range sensory experience to consumers. The delivery of such a rich and highly accommodating media experience, called fluidity in sciences, makes webcasting an attractive medium (Lin, 2004). Indeed, watching or downloading video and music and listening to streaming audio, are activities characterize broadband users (Internet Retailer, 2004). Webcasts not only provide consumers more choices, but also create a whole new landscape to the media industry. Traditionally, the consumption of audio or video content usually occurred at the users' home. Now, consumption of television shows can occur on transit (when people have wireless Internet connection either through their laptop or cellular phones) and at work. Computers are increasingly common in the work place, and much research reports the use of computers for entertainment at work (eMarketer, 2003). Webcasts can be a complementary service to existing media companies, as well as a competitor for revenue and audience's time. Despite the academic widespread use of the term "emerging media," there is no clear definition of what constitutes an emerging medium. We suggest that an emerging medium is a message delivery vehicle that is achieving higher utilization among the general population, but has neither universally accepted technical standards for content transmission and display, nor established operation models such as revenue sources and content strategies. It is transient in nature. All successful mass media technologies go through this "emerging media" status in their nascent stage. Webcasting is an emerging medium that demonstrates these characteristics. Webcast users are faced with incompatible and different file formats, streaming media 4 technologies such as compression and decompression techniques (codecs), different media players for displaying audio and video files, and other software or plug-in enhancements when using webcasts. Due to the unlimited capacity and wide open structure of a web site, usability is very important. In particular, it is important for a consumer to be able to locate what he or she wants to watch or listen in a webcast that provides thousands of videos or music playlists. This study defines webcasting as an example of emerging media and examines the various business models used by webcasters in their efforts to survive financially. To avoid limiting the study's application to only one country or culture, it employs a cross-country comparison. Using a crosscountry comparison is an appropriate approach to test the robustness of a theory (Livingstone, 2001). Proponents of Internet TV (e.g., Noam Groebel & Gerbarg, 2004) and other media researchers (e.g., Chang, Lee & Lee, 2004) contend the Internet is an efficient new distribution outlet for video programs. By nature of the economic properties of video products, the Web is an ideal video delivery medium of the future. Digitizing video content is becoming easier and demands much less bandwidth requirements. The online music business has become a major challenge to the established record labels, and many new Internet radio stations were launched in recent years (Perebinossoff, Gross & Gross, 2005). Indeed, the most recent report released by the Online Publishers Association and comScore Networks reveals U.S. consumer spending on entertainment and multimedia sites (excluding game sites) reached US$413.5 million in 2004, a 90 percent increase over the previous year. It now ranks the second among online paid content categories, following online dating and relationship services (McGann, 2005). Accustream (2004b) forecasts subscription and stream-based advertising revenue in the United States will reach US$864 million in 2005. The absence of government controls and the ease of two-way communication have created a participatory culture on the Web. This participatory culture, coupled with other commercial, social, and political interests, can transform the ways individuals and organizations 5 disseminate audios or videos to worldwide audiences. With an almost unlimited capacity, the Web can become open depositories of audio video content made by both professional and amateur producers. Although webcasting for business use is another important application of webcasting, it is beyond the scope of this study. The focus of this study is on consumer webcasting. Successful consumer webcasting requires the establishment of viable financial models that support the emerging medium. There are many studies that examine the adoption of new media by consumers primarily based on Rogers' (1995) diffusion of innovation paradigm. However, consumer perception of the medium is influenced by the medium's business models and its dissemination of content to consumers. The medium's business models can be decisive to the acceptance of the medium. Currently there is a lack of theories that explain how emerging media choose business models, and the models' influence on available content within the emerging media. This study examines possible theories that help answer this important question. Literature Review Technical Standards and Consumption One key characteristic of emerging media is the presence of competing technical standards in consumption of the media content. Such competing standards can cause confusion among consumers and create barriers to adoption. As Rogers' diffusion of innovation theory (1995) posits, only when the technology is simple to use and compatible to the life-style of consumers will it be adopted by the masses. To view or listen to a webcast, a webcast consumer must have a compatible media player that can display the file format used by the webcaster, and a broadband connection to receive high quality digital videos and audio files. Currently there are three main media players (Windows Media Player, Real Player, and Apple Quicktime) and dozens of proprietary media players that display audio or video content. Next, in order to locate the channel or clip to watch, they must know how to navigate web sites which vary greatly by designs and arrangements of the playlists or content (Ha, 2004). 6 Additionally, there are four different commonly used file transmission methods for webcasting: 1) Downloading on demand, 2) Streaming on demand, 3) Live streaming, and 4) Push (Ha, 2004). Each method provides a different format for a consumer to use the content service. Downloading on demand allows the user to download the media file to the user's hard drive, so the user can store it and open it for later use. It is similar to a videocassette or DVD that is owned by the consumer. Streaming on demand utilizes the file compression technology to display the file during transmission. The files are stored on the webcaster's server. Users can retrieve at any moment the content on demand, however the streaming does not constitute ownership because content was never saved on the users' computer. Live streaming most closely resembles the traditional terrestrial broadcast. There is a fixed show schedule that users must follow in order to view or listen to the content. Push is a technology that automatically delivers the content to the user's Internet reception devices through common computer applications such as screensavers or e-mail programs. Users do not need to take the initiative in locating and consuming the content. They are given the content passively. The program update of Microsoft Windows is a common example of the use of the push method. Thus the webcaster's choice of transmission method determines the way that consumers can enjoy the webcast content. While peer-to-peer file sharing of audio and video content is another technology growing in popularity, because its content transmission is not under the webcaster's control, it does not constitute a media service that assembles content to its users. Apart from the technical knowledge of installing the media players and knowing how to locate the content, cost is another barrier to webcast adoption. The initial cost includes the broadband Internet connection subscription, the purchasing of a modem and a multimedia computer or Internet reception device. The eventual costs can include paying webcast content services on a subscription or pay per view basis if the user chooses services that charge consumers. 7 Online Media Business Models Many consulting companies, such as McKinsey & Company (2002) and Accustream (2004a), offer proprietary research on their forecast and analysis of online media business models. Their focus is on profitability rather than the larger impact of various webcasting business models on the society. The academe's strong interest in online media business models is demonstrated in a recent special issue of the International Journal on Media Management dedicated to business models of traditional media and the Internet. It received 45 manuscript submissions. The various online media business model theories discussed in published research address two major issues: whether consumers are willing to pay for the online media content/services (e.g., Chyi, 2005), and whether the online presence of offline media will cannibalize their offline media's revenue (e.g., Fetscherin and Knolmayer, 2004). Despite the strong interest of both commercial and academic entities in online media business models, the discussion of online business models is inconsistent and includes no common components for comparison. For example, Picard (2002) defines media business models as an architecture that accounts for "the resources of production and distribution technologies, content creation or acquisition, and recovery of costs for creating, assembling, and presenting the content"(p.26). Business models are modes of practices, and are different from strategies which are the means to attain the business goal. Product offering, consumer, revenue, pricing and delivery are proposed as the five vital components of a business model (Fetscherin and Knolmayer 2004). Ha and Ganahl (2004) offer a framework to analyze webcasting business models. Transmission methods, content strategies and revenue sources are identified as the three common components of a webcasting business model. They propose a parsimonious taxonomy of ocontent aggregator and branded content as the two general business models for webcasting. The content aggregator model refers to the operation of the webcaster as an entertainment or information portal that works like a cable system operator. The webcaster assembles content 8 from a wide variety of competing content suppliers. The branded content model refers to the operation of the webcaster as a media brand with unique image and content. Its business success is based on specialized content or a well-known media brand. The content can be original or repurposed (i.e., shown before in another medium), however, content from another media brand is not available. Content aggregators provide much more content variety than the branded content business model. They need to make site navigation and content location easy to prevent users' loss and confusion amid the huge amount of available content from various sources. Users of branded content webcasts are generally familiar with the webcasters' content. In their study of South Korean and American leading webcasters, Ha and Ganahl (2004) demonstrate that webcaster types (clicks-and-bricks and pure-plays) have different content strategies because of varying competitive advantages. Clicks-and-bricks such as TV networks or radio stations have the advantage of brand recognition and the ownership of media content. They are likely to simulcast their content or repurpose previously aired content. Pure-play webcasters can freely select content sources from a variety of competing content providers. They can also provide original content to create uniqueness without the worry about jeopardizing offline media's image. Additionally, webcasting's technical characteristic of different transmission methods can determine the type of revenue sources and diversity of revenue sources of the webcaster. For example, the on-demand streaming method facilitates subscription and pay-perview revenue sources because it provides users flexibility and convenience of using the content whenever they want. Also the choice of content is not limited to scheduled programming. This study defines webcasting business models as the patterns of operation that an organization uses to offer its customers audio and/or video services on the Web that utilize one or a combination of file transmission methods, content strategies and revenue sources for the purpose of achieving its business goal and sustaining the organization's survival. This definition applies to both for-profit webcasters and non-profit webcasters. 9 Among the studies of online media business models, Picard (2002), Chan-Olmsted and Ha (2003) both argue for an evolutionary development of business models. Picard (2002) describes the development of online media business models as the evolution from the earliest videotext model to the current portal model. Chan-Olmsted and Ha (2003) assert there is a learning curve that media companies must go through. When existing media have developed their knowledge about the Web and are able to generate Web revenue by meeting consumer needs, then they will be able to sustain a profit-making business model. However, their online media business models are for existing media such as TV or radio stations. These studies are not able to explain the various types of webcasters that exist on the Web without offline media counterparts. Other studies on media business models illustrate the issue of cannibalization by showing the influence of basic economic factors such as ownership on online media business models. For example, in Arampatzis's (2004) study of the web sites of British and Greek media organizations, public broadcasters are more likely to experiment with new features than commercial broadcasters. Kolo and Vogt (2004) argue that online media can exist independent of their offline media because there is little overlap between audiences. The media executives' fear of the "free-rider" Internet culture supports Fetscherin & Knolmayer's (2004) proposal that the risk of cannibalization depends on the proportion of online free content and the degree of content overlap between online and offline media. Studies that define media business models as simply revenue sources focus on the audiences' willingness to pay for content. For example, Mings and White (2000) proposes four business models based on revenue sources: 1) advertising, 2) e-commerce (transactional), 3) subscription, 4) bundled (partnership). Chyi (2005) concludes that the subscription business model will not work in Hong Kong because most consumers are not willing to pay for the content. Bartussek (2003) contends that consumers will be willing to pay for content if media can provide content that is exclusive, user-friendly and customized, with other additional benefits to 10 the existing media content service. The revenue sources of online media will differ greatly from offline media. Table 1 compares the published online media business model studies. Insert Table 1 Here The current discussion of online media models is limited by the number of markets or settings where empirical data or anecdotal examples can support the theories. The models may not be applicable to other countries without a rigorous cross-national testing of the theories. Researchers have employed the multi-country approach to test the universality and robustness of a theory such as cultural fit of advertising appeals (Zapour, 1994) or advertising as a mirror of society (Albers-Miller and Gelb, 1996). Ha and Ganahl (2004) proposed a cross-national framework of business models that customizes for the webcast medium. Thus this study tests their proposed framework. The purposes of the current study are: 1) to test the robustness of the cross-cultural webcast business model framework suggested by Ha and Ganahl (2004), 2) to provide a picture of the webcasting practices in the world's most developed webcast markets, and 3) to examine the globalness of the webcast medium. Although there is no inherent superiority of one business model over another business model, some business models are more appropriate to one organization over another because of differences in core competencies and existing assets. For example, clicks-and-bricks have the advantage over pure-play webcasters of popular recognition and offline brand equity. But they also carry the burden of their own proprietary content, unlike pure-plays that can choose to carry competitors' content as a content aggregator (Ha & Ganahl, 2004). Commercial media are more reluctant to try new Web features because of possible bottom line threats (Arampatzis, 2004). The following three hypotheses are based on the propositions of Ha and Ganahl (2004) that focus on content strategy, the interplay between file transmission methods and revenue sources, and the usability and technical capabilities of the two webcast business models. 11 H1. Clicks-and-bricks webcasters are more likely to employ the branded content models, while pure-play webcasters and ISP webcasters are more likely to employ the content aggregator model. H2. Clicks-and-bricks webcasters are more likely than pure-play webcasters and ISP webcasters to repurpose or simulcast their audio-video content online. H3. The more diversified the file transmission methods, the more diversification the revenue sources. H4. Content aggregator webcasters score higher than branded content webcasters in usability. Globalness of Webcasting Cultural discount is a media economic theory that posits the preference of local consumers for local media content (Hoskins, McFadyen & Finn, 2004). Such cultural discount creates a barrier to foreign media's market entry. Only when the foreign media provides a much superior content that has no domestic media substitute will the foreign media earn a stronghold in the foreign market. In particular, if the domestic market is strong and big such as the United States, cultural discount acts an important market entry barrier to foreign media. Also domestically owned webcasters know the market demand better and should be able to offer more appealing content to the consumers. Therefore, in this cross-national study, even though the Web can reach across the globe without much barrier, we expect that domestically owned webcasters and domestically produced content are likely to dominate among leading webcasters. H5a. Most of the leading webcasters within a country are domestically owned webcasters. H5b. The majority of a country's leading webcasters utilize domestic production for most of their content sources. Research question 12 In addition to these hypotheses, this study intends to provide a picture of the types of webcast business models being used by leading webcasters in different countries. This knowledge will facilitate the further research in the areas of business models in emerging media, and provide a benchmark for tracking the development of webcasting business models worldwide. RQ1. What kind of webcast business model is more prevalent across leading webcasters in the world? Method Sampling The content analysis method is employed to examine the hypotheses and the research question on the business model practices of leading webcasters in 13 Asian, European and North American countries that have a high number of broadband users: Australia, China, Canada, Germany, Greece, Hong Kong, Japan, the Netherlands, South Korea, Spain, Taiwan, the United Kingdom, and the United States. This study is limited to leading webcasters because a random sample of webcasters may yield many hobbyists that do not have sustainable business goals at this nascent stage of the webcast industry's development. Also, leading webcasters serve as trend-setters and role-models for other industry newcomers. They represent the mainstream webcast industry and have much more impact on society than small webcasters. The study's first sampling step identifies the leading webcasters in each country. It is impossible to achieve complete equivalence among the countries in sampling because the webcast industry development and web audience measurement research vary widely across countries. Hence, the authors use the informant method and interviewed the countries' experts in the webcast industry. These sources include webcast association officers, editors of magazine on Internet and streaming media, and authoritative web audience measurement research reports available in the various countries. Because of market size differences, we allocate a larger sample (20) for Australia, China, Canada, Germany, Japan, South Korea, Taiwan, the United 13 Kingdom, and the United States, and a smaller sample size (10) for the remaining countries. As a result, the sample consists of 220 leading webcasters. Leading webcasters are defined in this study as the most popular web site services offering prepared audio or video contents accessible to the public for free or by payment These webcasters include terrestrial broadcasters that already have an offline TV or radio station/network and an additional service online; or established organizations with an online presence (clicks-and-bricks). They can also be organizations that provide audio and or video service online with no other counterpart offline (pure-plays). They can also be Internet service providers with their own audio and video content services in the Internet service (ISPs). There was no quota for each type of webcaster. The only criterion of selection is the perceived popularity of the webcasters based on the informants' knowledge or audience traffic measurmenets based on web audience research companies. The only exception is Comcast.net, a cable Internet service provider in the United States, which ranked 10th in the Accustream's (2004a) iBroadcast report in total video streams served. It is excluded because its service is not accessible to all consumers. Only those residing in their service area have access. Coding The coding scheme is based on Ha and Ganahl's (2004) study and adds other items including webcaster ownership and content origin. Categories were modified based on the input of native country collaborators to accommodate the idiosyncrasies of different markets. All research project participants used the same coding sheet except in countries where English is not a common second language. In those countries, such as Japan, the instrument was translated by native co-researchers. All codes and definitions of the categories were given to the coders. For any uncertainty about the categories, a common explanation was given to all the co-researchers of the study at the same time to minimize discrepancies. The coders were all native researchers of the country of study. They used high speed Internet connection in their country to code the sites. Coding was conducted during the first two months of 2005. To assess coder-reliability, 20% of 14 the sample were double-coded by another native coder. Perreault and Leigh's (1989) intercoder reliability coefficient (Ir) is used to compute the coder reliability and the overall reliability of all items is 0.91. For key variables such as webcaster type and ownership origin of webcaster, the reliability coefficient is 0.94. The reliability coefficient of business model is 0.82. Findings Sample Profile All three types of webcasters--Clicks-and-bricks, pure-plays and ISPs, are present in the leading webcasters sample of the study. As shown in Figure 1, there is quite a different distribution of webcaster types among the countries' leading webcasters. The figure listed first the North American countries and two other English language countries, then the European countries and then Asian countries. United States and Japan, the two large media exporters with well-established media industries, have the lowest proportion of clicks-and-bricks (or established media) as leading webcasters. In contrast, leading webcasters in Germany, Australia, Greece and Hong Kong are largely dominated by clicks-and-bricks. In Hong Kong, no pure-play webcaster is on the top 10 list. There are no Internet service providers in the leading webcaster list for South Korea, Greece, Spain and Germany. Insert Figure 1 Here Content Strategies Ha and Ganahl (2004)'s taxonomy of content aggregators and branded content is applied to all webcasters in the sample. There are 111 content aggregators and 109 branded content business model users. The first hypothesis posits that clicks-and-bricks webcasters are more likely to adopt the branded content model. Table 2 demonstrates this hypothesis is supported as almost three quarters of the branded content model users are clicks-and-bricks webcasters. Pureplay webcasters and ISP webcasters are more likely to use the content aggregator model. Almost 70 percent of the content aggregator model users are either pure-plays or ISPs (c2=41.9, df=4, p < 0.01). 15 Insert Table 2 Here The second hypothesis tests the difference in content strategies among different webcaster types. Clicks-and-bricks are expected to carry more high cost content and to be more focused in content genres than pure play and ISP webcasters. They are also expected to be more likely to simulcast or repurpose their content than pure-play and ISP webcasters. Table 3 depicts mixed support for this hypothesis. More clicks-and-bricks (56%) do carry high cost content than pure plays and ISPs (45%), but the difference is not statistically significant. All leading webcasters have similar strategies of providing a wide variety of program genres to the audience. Clicks-and-bricks score even higher in the number of program genres (mean=7.8 genres) than pure-play and ISPs (mean=6.2 genres). However, in terms of the number of channels, pureplay/ ISP webcasters (mean=15 channels) far outpaced clicks-and-bricks (mean=5 channels). Overall, repurposed content is the primary source of content of all webcasters. Contrary to the hypothesis, clicks-and-bricks have a higher percentage of original content (23%) than pure-plays and ISPs (21%), but they have lower percentage of repurposed content (40%) than pure-plays and ISPs (50%). But consistent with the hypothesis, clicks-and-bricks have a significantly higher percentage of simulcast content (24%) than pure-plays and ISPs (15%). Insert Table 3 Here Revenue Sources and Transmission Methods The third hypothesis postulates a positive relationship between the number of transmission methods and the number of revenue sources. The data show that webcasters average almost two transmission methods and two revenue sources. On-demand streaming is the most commonly used file transmission method while push is rarely used by webcasters (Table 4). Insert Table 4 Here Advertising is still the most common revenue source. Almost 70% of all leading webcasters have advertising as a revenue source. But it is not as dominant (90%+) as reported in other previous online media business model studies such as Ha and Ganahl (2004). E-commerce 16 seems to be quite important as a revenue source for webcasters. Almost 40% of all leading webcasters support e-commerce on their sites. The products sold on the site are either mediarelated such as music or program dowload and the sale of the videos, or commercial products (both are present in 75% of all e-commerce sites). Subscription is the third most popular revenue choice used by one third of the leading webcasters in the study. Insert Table 5 Here A bivariate regression of the number of transmission method on the number of revenue sources shows a significant positive relationship between the two (b=0.18, p< 0.01). Thus, hypothesis 3 which predicts that more transmission methods will facilitate more diversification of revenue sources is supported. But it should be noted that the coefficient is not very high. While the relationship does exist, it is not strong. Usability Hypothesis 4 which predicts higher usability among content aggregators than branded content webcasters is only partially supported. If usability is measured by the presence of search engines or directories that facilitate users' navigation and location of content, then this hypothesis is supported because 78% of content aggregators have search engine, while only 63% of branded content have search engines or directories. However, if usability is measured by other dimensions such as provisions for file size and description to users, the elimination of additional software installation to display the content, the availability of connection speed choices, the accommodation of multiple media players, and the presence of participatory content, then there is no significant differences in usability between content aggregators and branded content webcasters. Table 6 depicts almost 70% of both business model users do not require their users to install additional software to display their content. Slightly less than one half of the leading webcasters accommodate users' different Internet connection speeds. Most of the webcasters try to accommodate more than one media player. On average, they supported 1.4 media players. The most common media player is Windows Media Player (58%), followed by Real Player (29%) and 17 Apple Quicktime Player (7%). File formats also follow the media player preference. Windows Media Player-compatible formats ASF/WMA/WMV/WM and ASX/WAX/WVX/WMX/WPL are the most commonly found file formats (44%), followed by Real Player-compatible formats of RA, RAM and RM (21%), WMP (15%), and MP3 (12%). Insert Table 6 Here This study also illustrates the participatory culture of webcasting. More than 60% of all leading webcasters have some sort of participatory content features such as chat rooms, message boards, video ratings, and polls, etc. Many sites also encourage members to submit their own videos to be viewed by other site members. Globalness of the Medium No webcaster achieves a leading position in more than six countries in this study. Only four webcasters are identified as leading transnational webcasters that rank as the top 10/20 webcasters in more than one country. These four are all US-based webcasters. It should be noted that all transnational webcasters have their web sites' localized versions listed as the host countries' leading webcasters, not the US version of their sites. Yahoo is the most transnational webcaster, ranking as the leading webcaster in six countries (United States, Canada, United Kingdom, Australia, Japan, and Taiwan). The second most transnational webcaster is Microsoft Network (MSN). It is ranked as the leading webcasters in five countries (United States, United Kingdom, Germany, Japan, and Taiwan). America Online captures leading spots only in three English-language countries including the United States, Canada and the United Kingdom. Real Networks ranks as a leading webcaster in both the United States and Japan. Even though some transnational webcasters rank as leading webcasters in a foreign country, the majority of leading webcasters are still domestically owned webcasters. Hypotheses 5a and 5b predict the domination of domestically owned webcasters and domestically produced content and based on the cultural discount theory. Both hypotheses are supported. Hypothesis 5a is overwhelmingly supported as 82% of all leading webcasters are domestic webcasters. 18 Hypothesis 5b is supported as almost 80 percent of all leading webcasters carry either solely or mostly domestically produced content. Figure 2 shows the distribution by country of the country of origin of the webcaster ownership. The cultural discount effect is most pronounced in large markets such as the United States and China where none of the leading webcasters are foreign webcasters or joint ventures with foreign webcasters. Australia and Germany, two other large markets, have no pure foreign webcasters on their leading webcaster rosters. Japan and the United Kingdom, both island countries, are the only two countries with almost half of their leading webcasters coming from foreign countries. But as noted earlier, the foreign webcasters in Japan have all localized their content to meet the needs of the Japanese consumers. Insert Figure 2 Here Figure 3 compares the 13 countries' webcast content origins. Most webcast content originates in the native country. The pattern of content origin mirrors the pattern shown in the country comparison of webcaster origin. Webcast content in China is either primarily or only domestic content. Leading webcasters in Germany and Japan also employ primarily or purely domestic content. The United Kingdom is the only country that no leading webcaster uses solely domestically produced content. But still a majority of the British leading webcasters' content is still domestically produced content. Insert Figure 3 Here The business models of webcasters are compared by country in Figure 4. In general, the distribution between content aggregator models and branded content models is quite different among countries. The content aggregator model is the most prevalent among Japan's and Taiwan's leading webcasters. The branded content model is the most dominant in Hong Kong, Greece, Spain and South Korea. Insert Figure 4 Here 19 Discussion and Conclusion The findings of this 13 country-comparison of webcasters' practices demonstrates the webcasting business model framework proposed by Ha and Ganahl (2004) is quite robust in different market environments. All webcasters can be categorized by the content aggregator or branded content model. Their prediction that clicks-and-bricks webcasters are more likely to adopt the branded content model, and that pure-play media and ISPs are more likely to adopt the content aggregator model is also supported by the findings. The number of transmission methods is indeed a facilitator of the diversification of revenue sources. But this study's findings also demonstrate the limitation of this framework. For example, in terms of content strategies, some of its predictions are not applicable to this study's 220 leading webcasters. Although the framework is still able to predict the higher probability of clicks-and-bricks webcasters to carry high cost content such as full-length movies and sports, and that pure-play webcasters have more channels than clicks-and-bricks, it is unable to predict the diversity of program genres and similar proportion of original content between the two webcaster types. One possible reason for this is the presence of non-profit webcasters in some countries within this study. In many European countries and Canada, public broadcast is still the dominant ownership mode of electronic media and their webcasts reflect their non-profit and diverse programming mission. In Hong Kong, three of the leading webcasters are funded by the government. Two of them webcast for educational and marketing purposes: The Edcity and the Trade Development Council. They are special types of clicks-and-bricks because they are not media organizations, but governmental units that utilize the Webcast medium to disseminate the audio and video content. Also, some webcasters, such as NHK and Anime Express in Japan, view their webcasts as a tool for self-promotion, a customer service or an intelligence gateway of audience's feedback and information as discussed by Chan-Olmsted and Ha (2003). These web sites may not directly apply a profit generation mode when devising their content strategies. 20 Their decisions regarding content offerings are not based on bottom line considerations. Another possible explanation is that the increasing intensity of competition for audience forces more clicks-and-bricks webcasters to diversify their webcast program genres to compete with pure-play media. For example, in the United States, the declining audience share of clicks-and-bricks webcasters has been documented by Accustream's (2003) streaming traffic report. The report shows that broadcast and cable TV brands used to capture 86% of the streams served by the top 10 sites in 2001, but their share fell to 5 percent in October 2003. In general, all leading webcasters in this study offer a large selection of content to its Web users through multiple program genres that are packaged into a variety of channels or playlists available on-demand. But identifying these many webcasters and locating the specific content is a challenge to consumers. Most leading webcasters address this problem with search engines and directories. Sill one third of them do not provide site search tools. Many do not require that users install any additional software. But there are still some accessibility problems to the webcasts. Less than half of the webcasters have file size and description information for the users about the video or audio program, connection speed accommodations for users with different Internet connection speeds. Without knowing how much time is required for the program, many users may be reluctant to try an unfamiliar title, especially when the user is faced with hundreds and thousands of clips or programs to choose from. Additionally, coders reported problem accessing to about one fifth of the leading webcasters' content using high speed Internet connection. These include garbled images, incomprehensible audio, and broken transmission. These technical problems can also become obstacles to webcast consumption and reduce the consumers' willingness to pay for the content. There is a clear trend in the diversification of revenue sources by leading webcasters in this study. Webcasters are still searching for different ways to make their sites financially viable. Most webcasters use two or more revenue sources. Indirect consumer payment revenue sources 21 such as advertising and electronic commerce are still the most popular choice. This reflects the webcasters' acknowledgement of the consumers' unwillingness to pay for webcast content. Revenue that is directly linked to media content such as subscription and pay-per-view are still moderately used. It is particularly interesting to note that apart from government or corporate funding, there are also many creative ways that webcasters generate revenue such as consulting and web hosting service. The presence of participatory content in most of the webcast services constitutes a distinct feature of the webcast medium, making it superior to the traditional broadcast medium. The encouragement of video submission such as iFilm and AOL makes the webcast medium an amateur producers' paradise, and will foster a new generation of producers with alternative and diversified viewpoints and style. The difference in popularity of the branded content model and the content aggregator model across countries indicates that one model is more accepted than the other. The development of the webcast industry also varies among the countries under this study due to different broadband penetration levels, media production industry maturations, and technology gaps among webcasters. These are areas to be further explored as determinants of business models. Future research on business models of other emerging media such as digital video recorders and interactive television can modify the framework proposed by Ha and Ganahl (2004) on specific items such as specific content strategies. The emphasis of the interplay among the transmission method/technical standards (accessibility), content strategies and revenue sources as components of emerging media business models will facilitate the tracking of the development of business models of emerging media. Finally, this study also demonstrates the limitation of webcasting as a global medium. Despite the ease to achieve a global reach and the lack of license constraints or ownership requirements in most countries, webcasting is still primarily a domestic medium dominated by domestically owned webcasters offering domestically produced content. The study not only 22 reaffirms the cultural discount theory, it also indicates that the "global" audience of a webcaster may concentrate among the peripheral groups of different countries, and not in the countries' mainstream. Government regulation is another factor that will affect the globalness of webcasters in some countries. For example, in China, to set up online video and audio business, webcasters need to have official approval from the government authorities, and only domestic webcasters are allowed to access to webcasting business. Hence future research that attempts to examine the globalness of the Web medium in countries with ownership regulation must take both the cultural discount and the absence or presence of government regulations into consideration to better explain the country origins of media content and ownership. 23 References Accustream (2003). 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C., Hoobyar, R., Jiang, S., Lin, M., Madrid, S., Scheideler, H., & Osborn, S. T. (1994). Global reach and local touch: Achieving cultural fitness in TV advertising. Journal of Advertising Research, 5, 35-63. Table 1 Online Media Business Model Theories Study Arampatzis (2004) Bartussek (2003) Chan-Olmsted & Ha (2003) Fetschein & Knolmeyer (2004) Ha & Ganahl (2004) Kolo & Vogt (2004) Mings & White (2000) Picard (2002) Empirical method. Country. Interviews/Case studies. Greece, United Kingdom Anecdotal examples. Surveys. U.S. Broadcast TV Stations Surveys. European and U.S newspapers and magazines with both offline and online versions. Content analysis. United States, South Korea Secondary Analysis. Germany Analysis from industry press. U.S. online newspapers. Anecdotal examples. 26 Theoretical Propositions Without worrying about the bottom line, public service media are more innovative than commercial media in offering online media services. Other than innovativeness not much difference in business models between old media and online media. Online media need to adopt a different business model from parent offline media. Consumers' willingness to pay for online media content is based on exclusivity, added benefits and user-friendliness of the online content. Development of Internet competency over time and evolution of business models from 1) online competency development, 2) enhancement of the value of online products and 3) generation of online revenue. Risk of cannibalization is determined by the percentage of free digital content and the percentage of content that both offline and online media overlap. The higher the percentage, the higher the risk. Clicks-and-bricks and pure-play media adopt either a content aggregator or a branded content business model with different transmission methods, content strategies and revenue sources and these elements influence one another. More transmission methods leads to more revenue sources and content strategies are different between clicks-and-bricks and pure play media. Online media have their own distinct users. They are destination sites relatively independent of their offline media counterparts. Their business models should be different from the offline media counterpart. Proposed 4 online media business models based on revenue sources : 1) Advertising, 2) Transactional, 3) Subscription and 4) Bundled (partnership). Online media content services business models evolve over time, with the best model adopted by most providers at the time. Four abandoned models are the videotext model, the paid Internet model, the free Web model and the Internet/Web ad push model. The current model is a portal model and the emerging model is a digital portal model. Table 2 Business Models by Type of Webcasters Clicks-and-Bricks Pure-Plays ISPs c2= 41.9, df = 4, p < 0.01 model. The current model is a portal model and the emerging model is a digital portal model. Content Aggregator N=111 29.7% 50.5% 19.8% 27 Branded Content N=109 72.4% 23.8% 3.8% Table 3 Content Strategies by Webcaster Type Clicks-and-bricks N=111 N=109 Source of content Original Repurpose* Simulcast* High cost content1 Average no. of program genres* 7.8 Average number of channels* 5.6 1full-length movies, popular TV shows, sports, news * p < 0.05 28 Pureplays/ISPs 23.6% 21.5% 40.3% 50.2% 24.0% 15.4% 45.0% 56.0% 6.2 15.6 Table 4 File Transmission Methods by Business Models Content Aggregator Branded Content 48.6% On-Demand Downloading 77.5% On-Demand Streaming 45.0% Live Streaming 8.1% Pushing Note: Multiple Response Items Mean number of transmission methods=1.8 29 35.6% 77.9% 59.6% 6.7% Table 5 Revenue sources by Business Model Content Aggregator Branded Content Total Advertising E-Commerce Subscription Pay-per-view Content syndication Tip-Jar/ Voluntary Contribution Other (e.g., government/corporate funding) Note: Multiple Response Items Mean number of revenue sources=2.0 N= 111 N=109 72.4% 67.6% 38.1% 40.5% 28.6% 37.8% 14.3% 25.2% 22.9% 12.6% 3.8% 1.8% 25.7% 12.6% 30 N=220 69.9% 39.4% 33.3% 19.9% 17.6% 2.8% 19% Table 6 Usability and Technical Capability Presence of search engine and directories* Text description of content with estimated file size Have connection speed choice No need to use additional software Average number of media players accommodated 1.49 Presence of Participatory Content (such as video ratings, chat rooms) *p < 0.01 31 Content Aggregators Branded Content 63.8% 78.4% 36.2% 36.9% 45.7% 44.1% 63.8% 67.6% 1.33 65.7% 60.4% Figure 1 Profile of leading webcasters in this study 32 Figure 2 USA NETHERLANDS SPAIN COUNTRY OF STUDY Webcast Ownership Origin by Country CANADA UNITED KINGDOM AUSTRALIA GERMANY GREECE HONG KONG CHINA JAPAN KOREA TAIWAN 0 Count 10 33 webcast ownership foreign webcaster joint venture domestic webcaster 30 20 Figure 3 Webcaster's Content Origin by Country 34 Figure 4 35 business model branded content content aggregator 30 20 Webcast Business Models by Country USA CANADA UNITED KINGDOM AUSTRALIA GERMANY NETHERLANDS SPAIN GREECE HONG KONG CHINA JAPAN KOREA TAIWAN 10 0 Count COUNTRY OF STUDY
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