1,143 research outputs found

    Net generation culture

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    WHY EMERGING BUSINESS MODELS AND NOT COPYRIGHT LAW ARE THE KEY TO MONETISING CONTENT ONLINE

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    The multimedia Internet is here to stay. Rich media – including videos, music, podcasts, and flash animation – is already a key feature of the Internet experience, and will only grow in diversity and importance. As Internet users increasingly crave – and technology increasingly enables – multimedia content delivered on demand over broadband connections, the number of songs, videos, and other media online will increase exponentially to feed the demand. As online media consumption increases, so will expectations for its capacity to generate revenue for content owners and creators. Analysts boldly predict a bright future for the entertainment industries, especially in Asia, with broadband Internet cited as a key growth driver.1 The main point of contention in the 2007 Hollywood writers’ strike was compensation for media streamed or downloaded over the Internet.2 Yet, to date, the vast majority of music and video acquired or consumed online is free and uncompensated. Despite the rising expectations for monetising content on the Web, no clear sustainable, scalable model for monetising content has emerged that compare to the level of revenues copyright owners have enjoyed in the “physical” (as opposed to online) market. This chapter considers the primary strategies that the international music and film industries have employed to date, namely lawsuits and technological protections, and why these strategies have failed to produce a viable path to long-term revenue generation. I argue that content owners should not hold out hope that using law (in the form of copyright infringement lawsuits against individuals) or technology (in the form of digital rights management encryption software) will unlock the Web’s potential for monetising their content. Instead, successful monetisation of content online will come through business models that can harness and monetise the current behaviour of Internet users. There are three emerging such models, each of which has significant potential and challenges: retail online content subscriptions, ad-supported content, and voluntary blanket licensing. The following discussion is mostly broad, outlining circumstances facing copyright owners globally, and some emerging potential solutions. Nevertheless, I make a point throughout to highlight the situation in China in particular. Why? China is a challenging but dynamic Internet and digital media market, and is in fact the first market in the world where all three of the emerging models discussed in this chapter are actually being deployed in an effort to jumpstart the digital creative economy. China is an important market for the rest of the world to watch regarding emerging monetisation models. Lastly this chapter is not meant to be a comprehensive overview of the many innovative ways that musicians, filmmakers, and other creators and companies are using the Web to make money from their content. Undoubtedly the Web has empowered many small and medium-sized content owners to distribute their works and connect with their fans in exciting and unprecedented ways. The purpose of this chapter is to explore the Web’s potential for generating wide-scale, significant, and sustainable content revenues for the entertainment industry, including minor and major content owners

    Dynamic Resource Management in Clouds: A Probabilistic Approach

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    Dynamic resource management has become an active area of research in the Cloud Computing paradigm. Cost of resources varies significantly depending on configuration for using them. Hence efficient management of resources is of prime interest to both Cloud Providers and Cloud Users. In this work we suggest a probabilistic resource provisioning approach that can be exploited as the input of a dynamic resource management scheme. Using a Video on Demand use case to justify our claims, we propose an analytical model inspired from standard models developed for epidemiology spreading, to represent sudden and intense workload variations. We show that the resulting model verifies a Large Deviation Principle that statistically characterizes extreme rare events, such as the ones produced by "buzz/flash crowd effects" that may cause workload overflow in the VoD context. This analysis provides valuable insight on expectable abnormal behaviors of systems. We exploit the information obtained using the Large Deviation Principle for the proposed Video on Demand use-case for defining policies (Service Level Agreements). We believe these policies for elastic resource provisioning and usage may be of some interest to all stakeholders in the emerging context of cloud networkingComment: IEICE Transactions on Communications (2012). arXiv admin note: substantial text overlap with arXiv:1209.515

    The cognitive and affective antecedents to consumer behavior towards on-demand transportation services in Egypt

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    In the recent few years, smartphones have shaped and assisted in the creation of new business models to formulate and develop some additional dimensions such as shared-economy or shared-mobility. Since transportation is one of the most essential aspects of shared-economy, it is vital to this study to focus and investigate the consumers’ intention to use the new commuting services provided by Transportation Network Companies (TNCs) in Egypt. Consequently, this research aims to examine and understand the cognitive and affective antecedents to consumers’ behavior towards TNCs in Egypt. Therefore, the model of the Unified Theory of Acceptance and Use of Technology (UTAUT2) has been applied to understand and explain the factors that influence the behavioral intention (BI) to use TNCs services. The factors of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV), and Habit (HT) tested through surveying 200 respondents thru online (Google Forms) and offline (Self-Administered Questionnaires) techniques. The results showed that consumers’ intention to use TNCs services in Egypt, was positively affected by the factors of (performance expectancy, social influence, price value, and habit). However, the variables of (effort expectancy, facilitating conditions, and hedonic motivation) showed a negative influence on the intention to use TNCs services in Egypt. Thus, upon the evaluation of the gathered data and discovered findings, the market acceptance and share of TNCs services can be increased if these services considered the factors affecting the consumers\u27 intention that mentioned earlier
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