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Cloud computing is a revolution in computing architecture, transforming not only the 'where' (location) of computing, but also the 'how' (the manner in which software is produced and the tools available for the automation of business processes). Cloud computing emerged as we transitioned from an era in which underlying computing resources were both scarce and expensive to an era in which the same resources were cheap and abundant. There are many ways to implement cloud architectures, and most people are familiar with public cloud services such as Gmail or Facebook. However, much of the impact of cloud computing on the economy will be driven by how large enterprises implement cloud architectures. Cloud is also poised to disrupt the Information Technology (IT) industry, broadly conceived, with a new wave of commoditization. Offerings optimized for high performance in an era of computing resource scarcity are giving way to loosely coupled, elastically managed architectures making use of cheap, abundant computing resources today. [ABSTRACT FROM AUTHOR]

This paper examines how recent trends in the smartphone industry may be expanding previous conceptions of the industry and its boundaries. The increasing importance of Internet and cloud-based services-which in many ways lie outside the control of the physical device, operating system, and even the cellular network-seems to be changing the roles and strategies of key firms in the ecosystem. Using industry architecture and platform theory, we examine how the key firms seem to be reacting to these new changes. Our analysis indicates that the platform 'bottleneck,' or key control point, is moving away from the device and into the cloud, where a new meta-platform based on the Internet may be emerging. [ABSTRACT FROM AUTHOR]

'Big data'-the collection of vast quantities of data about individual behavior via online, mobile, and other data-driven services-has been heralded as the agent of a third industrial revolution-one with raw materials measured in bits, rather than tons of steel or barrels of oil. Yet the industrial revolution transformed not just how firms made things, but the fundamental approach to value creation in industrial economies. To date, big data has not achieved this distinction. Instead, today's successful big data business models largely use data to scale old modes of value creation, rather than invent new ones altogether. Moreover, today's big data cannot deliver the promised revolution. In this way, today's big data landscape resembles the early phases of the first industrial revolution, rather than the culmination of the second a century later. Realizing the second big data revolution will require fundamentally different kinds of data, different innovations, and different business models than those seen to date. That fact has profound consequences for the kinds of investments and innovations firms must seek, and the economic, political, and social consequences that those innovations portend. [ABSTRACT FROM AUTHOR]

Like other service sectors, information technology has dramatically altered the growth and character of the retail trade sector in the affluent economies. Nevertheless, significant variation exists in the typical strategies of retail firms in different countries. This article explores this variation and proposes an explanation for why retailers achieved scale and solved their make, buy, and partner decisions along such different trajectories. It argues that national bases for scale retailing were shaped by a series of political negotiations starting in the 1960s and 1970s. This demonstrates once again that technology implementation is rarely determined by the technology itself, but more often by social and political rules. Future technology platforms, such as web-based or mobile commerce, should be expected to follow similar political logics. As multinational retailing firms spread around the globe, this has important implications for national competition policy. [ABSTRACT FROM AUTHOR]

Cloud Computing is rapidly emerging as the new information technology platform. It is, however, much more than simply a new set of technologies and business models. Cloud Computing is transforming how consumers, companies, and governments store information, how they process that information, and how they utilize computing power. It can be an engine of innovation, a platform for entrepreneurship, and driver of corporate efficiency. While an increasingly commonly term, confusion remains over what exactly constitutes Cloud Computing, how the markets are unfolding, and what forces will drive their evolution and diffusion. This paper provides an overview and conceptual tools for business leaders, policymakers, and non-specialist scholars to identify, distill, and easily understand the core aspects of how Cloud Computing service markets are developing, and how an array of policy issues will influence how this new computing platform unfolds across the world. [ABSTRACT FROM AUTHOR]

While globally successful Japanese industries were able to use their domestic market as a springboard into international markets, Japan's telecommunications sector became decoupled from global markets, trapping Japanese ICT firms in the domestic market. This persistent pattern of leading without followers was not simply the result of misguided technological choices, ill-informed corporate strategies, or insular government standard-setting processes. Rather, the dynamics of competition, shaped and reshaped by political dynamics and regulatory structures, decoupled it from global markets. These dynamics created a 'Galapagos effect', in which winning in an isolated domestic market led to losing in global markets. Major regulatory shifts transformed the dynamics of competition since the late 1990s, decreasing the isolation of Japan's telecommunications sector, but some factors pulling it along a proprietary trajectory persist. This paper highlights the dilemma of how to develop beyond a follower status, but avoid becoming a leader without followers. [ABSTRACT FROM AUTHOR]

With the launch of the original iPhone, Apple redefined the 'smartphone' product category and accelerated the convergence of traditional mobile telephony, Internet services, and personal computing into a new industry. As these sectors merge into a single device, formerly separate industry architectures and their constituent firms are being forced into direct competition. We test theories of industry architecture and technological platforms regarding their ability to explain the strategies of key entrants in navigating the transition. We analyze in detail the actions and strategies of four major competitors, including Apple, Google, Microsoft, Nokia, and, more briefly, Research in Motion and HP/Palm, from the framework of technological platform theory. Our analysis suggests that currently some competitors are following traditional platform strategies, but that Google and Apple appear to have adopted strategies at odds with platform literature. We examine how the dynamics of this convergence may lead to a reconsideration of certain tenets of platform theory. [ABSTRACT FROM AUTHOR]

This paper examines the size, scope, and potential implications of trade in high-tech services in the U.S. The results suggest that many service activities are tradable, tradable service activities tend to employ more educated workers and pay higher wages, and high-tech services account for a large share of service activities that are tradable. Service exporters are more prevalent in high-tech industries with larger establishments and higher wages. Within industries, service exporters tend to be larger, pay higher wages, and are more productive. Tradable service activities seem consistent with U.S. comparative advantage and, as a result, less likely to be vulnerable to offshoring. Consistent with this, recent employment growth in tradable service industries is not significantly different than employment growth in non-tradable service industries. [ABSTRACT FROM AUTHOR]