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The awareness of probability was observed in ancient cultures through the discovery of primitive dice games made with animal bones. The history of analytics in the workplace, as it is currently known (defined as predictive analytics), probably started in ancient Roman times, when the concept of insurance was first created. While the previous example showed that analytics for business had been around for some time, it is only relatively recently that there is an increased emphasis on the use of analytics in the modern firm. Credit card firms and retail catalog companies relied on analytics to drive their business models, for most of the latter half of the twentieth century. The use of advanced analytics for business also grew around the Millennium since the widespread use of data warehousing and relational databases on client servers. Moreover, Machine Learning and Artificial Intelligence Techniques, which have been around for many decades, have had very few breakthrough successful applications up until recently when cloud computing and being able to take advantage of the infrastructure of companies, such as Amazon and Google, with their Cloud Services enabled these algorithms to be used to their full extent in firms. This powerful infrastructure availability coupled with BIG DATA is creating breakthrough applications across many business models on a consistent basis. This chapter explores the use of advanced analytics across different business functional areas. It also introduces some breakthrough models, which include Netflix, Pandora, eHarmony, Zillow, and Amazon, and explores how these are not only changing the lives of consumers but also changing the nature of the workplace and creating new issues for firms such as data protection and liabilities for the actions of automated algorithms.

During the 1980s, as organizational uses of information technology (IT) increased in both number of users and amount of use, and as more technology options presented themselves, organizations began to appoint senior personnel as “technology czars.” For executives outside the IT industry, particularly those focused on other aspects of running an enterprise (various business units, finance, human resources, etc.), the IT world seemed to be chaotic, out of control and full of terminological confusion. IT budgets and expenditures were growing rapidly and demands for service continued to increase both in scale and scope. Meanwhile organizational IT units seemed unresponsive, and curiously resistant to change. Central IT units in universities seemed stuck in the mainframe culture of home-grown, customized system development and controlled access at a time when distributed client-server computing offered the promise of low cost, local control and agility. As a result, many local IT support units evolved throughout academic institutions, placing even greater demand on scarce institutional resources and fuelling the potentially explosive tension between central administrative and local authority.

While all global leaders aspire to build a winning global company – one that is competitive, profitable, and sustainable – the business strategies and organizational models they pursue vary substantially, depending on the external and internal business environments they face. In this article, we outline the journey of Acer's growth and transformation from the founding of the company in 1976 to the end of 2004. Throughout this period, the Acer Group had grown tremendously and been transformed radically to adapt to the changing competitive dynamics of the global PC industry. We describe the two major transformations in strategy and organization implemented by Acer's global leadership teams to maintain and enhance the global competitiveness of Acer Inc. in a turbulent industry where many players had disappeared in the last two decades.

Based on our reflections on Acer's journey, we also highlight five key roles that global leaders play in building the sustained competitiveness of their companies. We believe that leaders must (1) develop innovative business models to leverage global resources for profitable global growth; (2) be sensitive to external environmental trends and internal bottlenecks and act on them proactively; (3) communicate persuasively with key stakeholders to gain commitment to the change; (4) reverse the negative vicious cycle of low performance into a positive virtuous cycle of growth; (5) be positive and optimistic in the midst of adversity so that opportunities for turnaround and eventual growth can be found. In industries that are fast-changing and highly competitive, we believe that it is more imperative than ever for global leaders to demonstrate such leadership roles and capabilities in order to navigate their companies through the turbulent times.

We examine the evolution of vertical specialization in three industries: chemicals, computers, and semiconductors. Vertical specialization is the restructuring of industry-wide value chains, such that different stages are controlled by different firms, rather than being vertically integrated within the boundaries of individual firms. In some cases, vertical specialization may span international boundaries and is associated with complex international production networks. After decades of vertical specialization, firms in the chemical industry are re-integrating stages of the value chain. By contrast, the semiconductor and computer industries have experienced significant vertical specialization during the past ten years. We examine how and why these contrasting trends in vertical specialization have co-evolved with industry maturation and decline, and underscore the importance and role of both industry factors and business strategies necessary for industries to become more specialized. We also consider the effects of vertical specialization on the sources of innovation and the geographic redistribution of production and other activities. We conclude that the evolution of vertical specialization in these three industries has both reflected and influenced the strategies of leading firms, while also displays industry-specific characteristics that are rooted in different technological and market characteristics.

This chapter discusses the design of the LHS and the steps taken to ensure data privacy and security. Usage of the application programming interface (API) is discussed, paying attention to how an Electronic Health Record (EHR) provider would use the API. Finally, the clinician’s interaction with the system is discussed.

Despite increasing interest in business model innovation (BMI), there is only limited scholarship that examines how business model (BM) innovators present and explain their innovations to various stakeholders. As BMI often involves the creation of a new ecosystem, understanding how innovators can gain support of future ecosystem members is important. Based on a longitudinal case study of Salesforce, a pioneer in cloud computing, the authors show how the innovator’s skillful framing to different audiences fosters the emergence of an ecosystem around the new BM. The authors suggest that effective framing constitutes an important strategic process that enables BM innovators to shape new ecosystems due to the performative power of words.