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      "text": "Operating model is an organized template for how work gets accomplished in a high-quality way, over and over again. It identifies all the elements that should be established, well managed and working in concert if the ambition is to have an ongoing capability in some area rather than a one-time success with a single initiative.",
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      "text": "Ecosystems (includes ecosystem partnerships) consist of external parties with which a company does business in any fashion, including vendors, cloud and technology providers, start-ups with new capabilities, business partners, or even competitors. Together they form a network which can drive innovation.",
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      "text": "Our modeling is based on data from the 2020 Accenture Research and Oxford Economics Intelligent Operations survey. Each participant was asked about their company characteristics (for example, industry, employment and revenues) and past, current and expected level of operating maturity. Financial data from 2017 to 2019 for each public company was matched from S&P Capital IQ including EBITDA, revenue growth and total shareholder return. We identified a group of future-ready organizations based on their operating model maturity and analyzed the key underlying factors and operational maturity actions that differentiate these organizations from their peers. This involved developing and implementing econometric models of the relationship between organizational differences in operating maturity position (based on four categories: stable, efficient, predictive and future-ready, which identify increasing levels of operational maturity) and key financial outcomes. The modeling framework also controls for background differences across firms such as geographic location, industry and size. Using our model, we were able to assess the nature and magnitude of the connections between operating maturity, business investments and business outcomes.",
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      "text": "Intelligent operations refers to processes or functions that incorporate leading practices, digital technologies (for example, automation, analytics, and AI) and appropriately skilled talent to enable insight-driven decisions, improve efficiency and customer experiences and grow top-line results.",
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