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The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

Mergers and acquisitions (M&As) typically accelerate target top management team (TMT) executive departures. Market discipline and Relative Standing are two major and competing economic and sociological explanations for this phenomenon which lack a satisfactory theoretical integration. To fill this gap in the literature, we model the M&A market as a complex adaptive system composed of TMTs which rid themselves of executives via self-organized critical processes, generating M&A market-level properties that are emergent, or not easily explained with reference to the individual TMTs. The observation of an emergent power law distribution in target TMT executive retention rates for M&A activities in the United States supports our interpretation.

The potential advantage of extreme value theory in modeling management phenomena is the central theme of this paper. The statistics of extremes have played only a very limited role in management studies despite the disproportionate emphasis on unusual events in the world of managers. An overview of this theory and related statistical models is presented, and illustrative empirical examples provided.

Why should businesses invest in the arts? Why ‘sing for your supper’ when you can earn much more by coding? In an era when artificial intelligence (AI) is forecast to eliminate millions of jobs, many educators and policy-makers advocate scientific, technology, engineering and mathematics (STEM) education as the solution to future unemployment. They envision a workforce of diligent coders who automate everything, including their own jobs. While useful for finding tech jobs today, this myopic approach ignores the coming ‘Cambrian explosion’ of content and services that are being catalysed by exponential technologies. In Silicon Valley, virtual reality (VR) and augmented reality are already being applied to surgery, warehousing, retailing, architecture, construction, cars, therapy and concerts. Top VR managers and developers come from the social sciences and humanities, which provide the analytical and social skills for understanding customers and identifying new use cases and business models. STEM alone cannot answer the complex ethical and policy issues facing businesses: companies need employees with ‘soft skills’ who can integrate STEM with the arts (STEAM). In Silicon Valley today, the most challenging jobs are going to people who can offer practical answers to bottom-line questions about the value of social, cultural and artistic soft skills. What is the value of the arts for business growth? What can businesses learn from the creative industries? How can return on investment in the arts be measured? How will STEAM and exponential technologies enable new business models? How can STEAM education prepare people for the AI era?