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Disruptive Scenario Planning
Innovation Pioneers Tank meeting at the A-House, Stockholm
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IP Soft – The Digital Labor Company
UK National Innovation Awards winner 2017 Amelia is a chat robot for customer service and support desks with cognitive learning capability Most human artificial intelligence to date In Sweden, used by for instance SEB and Telia Other client include Cisco, Accenture and Deloitte
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Automation and AI is going to decimate middle class jobs
Stephen Hawking, Scientist AI and automation will create jobs Ginni Rometty, IBM CEO
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History of scenario planning
War game analysis by the US forces Royal Dutch Shell used for oil prices prediction Disruptive Scenario Planning at Googol Herman Kahn, Hudson Institute The “oil shock” 40’ 50’ 60’ 70’ 80’ 90’ 00’ 10’ 20’ Time Rand corp Strategic application planning in companies Scenario planning spread globally
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Military scenario planning
Key question to answer Time & Scope Stakeholders Trend and force mapping Finding key uncertainties Force linking Decision making Quantitative methods dev’t Scenario assessment Scenario writing Scenario definition Extremes identification
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Herman Kahn (1922 - 1983) Pierre Wack (1922 - 1997)
Pierre Wack (1922–1997) was an unconventional French oil executive who was the first to develop the use of scenario planning in the private sector, at Royal Dutch Shell’s London headquarters in the 1970s. So successful was he that the Anglo-Dutch oil giant was able to anticipate not just one Arab-induced oil shock during that decade, but two. His 1985 articles "Scenarios: Uncharted Waters Ahead"[1] and "Scenarios: Shooting the Rapids"[2] are considered among the first to bring the thoughts and theories of futurist Herman Kahn into business strategy. Herman Kahn (February 15, 1922 – July 7, 1983) was a founder of the Hudson Institute and one of the preeminent futurists of the latter part of the twentieth century. He originally came to prominence as a military strategist and systems theorist while employed at the RAND Corporation. He became known for analyzing the likely consequences of nuclear war and recommending ways to improve survivability, making him one of three historical inspirations for the title character of Stanley Kubrick's classic black comedy film satire Dr. Strangelove. Herman Kahn ( ) Pierre Wack ( )
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Good example The scenarios that the Shell Planning Group created enabled the company to shift investments from the expansion of production capacity to upgrading refinery output, years ahead of its competitors.
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Bad example On the strength of a single-point forecast IBM essentially outsourced the microprocessor to Intel and the operating system to Microsoft, choosing instead to focus on mainframes.
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Five ways to envision the future…
Effect Time Forecasting of an ongoing development Contingency planning if we stop doing something Sensitivity analysis of one parameter at a time Back casting Hype/fad testing Effect Time Effect Time Effect Time Effect Time
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…plus one more – Scenario planning
Footnote: Please note that the most likely scenario A+D is not dealt with, nor is A+E, A+F, D+B or D+C ! Changes several parameters at a time Facilitates pattern recognition Assists in decision making Challenges prevailing mindsets Effect of parameter 1 Time Effect of parameter 2 Time
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Disruptive vs non-disruptive scenarios
Disruption: An event that creates an… ”unplanned, often negative (?!) deviation from the expected delivery…according to the target of the organization” A & D represents what we expect to happen B,C,E and F represents the extreme and unexpected effects, sometimes created by extreme events, disruptions. Combined they form different disruptive scenarios. Effect of parameter 1 Time Effect of parameter 2 Time
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Rehearsing the future to avoid surprises by breaking through the ”illusion of certainty”
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Scenario ≠ Forecast Some DO NOTs
DO NOT estimate plausibility! Estimate uncertainty instead. DO NOT focus on what you can’t control, focus on the effect on You and what You can do. DO NOT expect that you will come up with a forecast, because that forecast will be wrong DO NOT use scenario planning on sure changes or when the time frame is too short for paradigmatic change to happen Scenario ≠ Forecast
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WHY Constructing a range of plausible futures to use as a backdrop for discussing strategies Visualizes the complex world of the future in simpler ways To increase the sensitivity of an organization to unfold the uncertain nature of the future Facilitating contingency planning Preparing the organisation for “any” future Avoiding surprises Heightening recognition of weak signals coming before changes Finding/ identifying early indicators to look for To be used in discussion whose success depends on an uncertain future Prevents groupthink, especially on extrapolations Compensates for 2 errors in decision making Overconfidence Tunnel vision In that it prevents overprediction and underprediction of change
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WHEN We know (knowledge) We don’t know We know (awareness) (awareness)
Things we don’t know that we know Things we know that we know We don’t know (awareness) We know (awareness) Things we don’t know that we don’t know Things we know that we don’t know We don’t know (knowledge)
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WHEN NO is low the uncertainty is high relative to the managers' ability to predict or adjust …the company does not perceive or generate new opportunities …the quality of strategic thinking is low or set back by bureaucrazy or routines …the industry has experienced (or is about to experience) significant change …the company wants a common language without stifling diversity …there are strong differences of opinion on what way to go within the company …the competitors are using scenario analysis…
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Simplified strategy planning process
Key focal issue Trends (PESTLEI) Timeframe Orientation Driving forces: Predetermined Uncertainties Ranking by LoU & I Exploration Framework 2x2 Catchy headline Narrative Plausible Creation Implications Robustness test Strategic options Option Mgmt. process Backdrop for strategic decisions Warning signals Integration Garvin and Levesque, 2006
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Further simplified strategy planning process of today – our HOW
Decide key focal issue Analyze key trends (PESTLE) Set timeframe Define uncertainties Information gathering Rank by importance Identify extremes Select pivot points Use framework 2x2 Scenario structuring Find catchy headline Write narrative Make it plausible Scenario writing Evaluate implications Set warning signals Start strategic work Winning capabilities Scenario usage 3 – 9 months including significant research, a series of workshops, senior management debriefings etc. 15 to 30 participants representing a cross-section of the company or organization but often also customers, suppliers, regulators, industry experts, academics and other relevant outsiders Liedtka et al, 1995
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Our demo case – “ABC Company”
ABC Company is a multinational company, based in the US, selling ITC products on a global market They are using Linux OS as a base in their products and for their internal use as well Their CEO, Umberto N. Certain (The Younger), among his staff nick-named Mr Uncertainty, has called for a review regarding their use of Linux Operating System in their products. As it is an open source software – will it continue, will it be developed, will it be expensive – all this has high implication on the future of ABC Company. What strategy should they apply…? Scenario Planning is needed! ?
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Information gathering regarding “Linux Strategy at ABC Company”
Key focal issue and time frame: “How will Linux affect our company, its customers, and suppliers around the globe over the next 10 years?” Key trends: The key factors found were… Customer push Government mandate Supplier push Windows backlash Copyright laws Terrorist strike against Microsoft Anti-American sentiment Company profitability Budget reductions Vendor adoption Application availability Future of Linus Torvalds Future of Bill Gates Key uncertainties
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Your workshop case – “Manning Ltd.”
Manning Ltd. is one of the oldest staffing companies in the UK They have grown constantly since the start in 1910 and they never really thought that the future would be anything else than a prolongation of past success However, their old chairwoman Fleur Foresight has recently seen a demo on how a chat robot replaced 60% of the staff at one of their largest clients in the telco industry and became worried about her company’s future She calls for a comprehensive scenario planning and turns to the distinguished network Innovation Pioneers for help… Not a recent picture of Fleur Foresight
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“WS 0” Information already gathered for Manning Ltd
Key focal issue and timeframe: ”How will automation and artificial intelligence influence us in 10 years” Key trends & their uncertainties (first 10 from Innovationsriksdagen 2017): Artificial intelligence Autonomous vehicles Virtual reality Internet of Things Robots Drones eCommerce Natural interfaces Block chain Genetic modification of humans Urbanization Immigration Key uncertainties
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Ranking by importance for “Linux Strategy at ABC Company”
Key uncertainties: The key factors from “WS 0” were… Customer push Government mandate Supplier push Windows backlash Copyright laws Terrorist strike against Microsoft Anti-American sentiment Company profitability Budget reductions Vendor adoption Application availability Future of Linus Torvalds Future of Bill Gates External push/ acceptance Importance to us 4 1 10 2 3 11 9 8 7 Total cost of ownership 6 5 Uncertainty 12 The most critical uncertainties were these 2 groups: External push/acceptance Total cost of ownership 13
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Selecting pivot points for “Linux Strategy at ABC Company”
The 4 scenarios are In the “Niche market” Linux will play a minor role, it is cheap but the market don’t want it In “Penguins rule” it is cheap and in high demand In “Why bother” it is both expensive and unwanted In “Penguins for profit” it is wanted and it has gone from Free of Charge to be rather expensive The 4 scenarios are consistent They could happen in 10 years They axes are compatible MS will not interact Total cost of ownership (High) “ Why bother” “ Penguins for profit” External push/ Acceptance (low) External push/ Acceptance (High) “ Niche market” “ Penguins rule” Total cost of ownership (Low)
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WS 1 Scenario structuring for Manning Ltd, 60 mins
Ranking by importance Define importance and level of uncertainty of your “uncertainties” What relationships do they have? How will they influence each other? Cluster the most important uncertainties together and name both clusters (instead of U1 and U2) Select scenario pivot points Make the axes “digital” Either they will happen to 100% or not at all Create the 4 extreme scenarios Check for consistency Importance to us (high) “U2” (Extreme point high) U1 Scenario 4 U2 Scenario 3 Uncertainty level (high) U1 (Extreme point low) “U1” (Extreme point high) Scenario 1 Scenario 2 U2 (Extreme point low)
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The most effective scenarios have the following characteristics
Story: a vivid description is central to engaging each participant in this new world. Decision-making power: provide insights useful to the question under consideration. Plausibility: the future and events described must be realistically possible. Consistency: without internal consistency, the scenarios will not be credible; each story must be logically generated to engage participants. Differentiation: each scenario should be structurally or qualitatively different; expressing magnitude of change is not enough. Memorable: easy to remember and differentiated; selecting scenarios with rich content is crucial. Challenge: each must challenge the organization’s received wisdom about the future.
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Scenario writing regarding “Linux Strategy at ABC Company”
Total cost of ownership (High) “ Why bother” Wall Street Journal, May 10th , 2027 The Rise and Fall of the Linux Dynasty. Linux was officially declared dead today, as Linus Torvalds accepted the position of Chief Technical Officer at Microsoft. In a press release, Linux declared his complete abandonment of the open source version of the operating system that he created. .The hurdles were too high to overcome,. Linus said. Its advantages were never accepted as significant enough to warrant the high costs of conversion and difficulty finding technical support. Torvalds indicated he was was working with Microsoft to find the next new technology “ Penguins for profit” Wall Street Journal, May 10th , 2027 Linux Ten Years Hereafter. After years of litigation, Microsoft and Linux have reached parity with similar product lines and international support. While Microsoft still owns 50% of desktops, Linux and Microsoft share the transactions processing space. Linux has the majority of middleware and mobile solutions. Although widespread litigation, intellectual property issues and limited supply of skilled workers had driven up costs, the technical superiority and elegance of Linux continued to attract new users, especially as vendors delivered new products to fit with both platforms External push/ Acceptance (Low) External push/ Acceptance (High) “ Niche market” Wall Street Journal, May 10th , 2027 Who Stuffed the Penguin?. We can today derive some lessons for the future as we look back at a platform that was heralded in 2003 as having great promise. Open Source was an open question back then. Unfortunately, the question was answered in large part by SCO prevailing in its lawsuit regarding their Intellectual Property contained within the Linux base code. Despite low costs associated with Linux, lack of confidence in its future and few leaders in the field led many . although not all -- companies to abandon their conversion efforts “ Penguins rule” Wall Street Journal, May 10th , 2027 . Linux Dethrones MS. In a move that just a few years back was not even a twinkle in Linus Torvald.s eye, Linux finally surpassed Microsoft as the dominant desktop and general-purpose operating system. As major vendors entered the field with new applications, driving down costs, more and more organizations and governments began to adopt the technology. With a plentiful supply of skilled technicians and improved security, Linux became the de facto standard in the industry. Total cost of ownership (Low)
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Scenario writing for Manning Ltd, 60 mins
Uncertainty 1 (High) “ Scenario 3” Dagens Nyheter, May 10th , 2027 “ Scenario 4” Dagens Industri May 10th , 2027 Uncertainty 2 (Low) Uncertainty 2 (High) “ Scenario 2” Veckans affärer, May 10th , 2027 “ Scenario 1” Göteborgsposten May 10th , 2027 Uncertainty 1 (Low)
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Scenario usage regarding “Linux strategy for ABC company”
Total cost of ownership (High) “ Why bother” “ Penguins for profit” Early warning signals Fewer Linux vendors and suppliers primarily due to consolidation Relatively no impact on customers, connectivity, Strategies to use Maintain legal awareness Track the technology Develop an exit strategy Avoid acquisition of new Linux-based technology Early warning signals Vendors emphasize support and capability of Linux services; hardware optimized for Linux Operating System Customers move from Microsoft to Linux, due to Linux’s superior technical performance Connectivity . Applications must run on Linux platforms Strategies to use Maintain strategic relationships with multiple major Linux vendors Leverage all options to minimize costs Reassess existing portfolio to define conversion priorities External push/ Acceptance (Low) External push/ Acceptance (High) Early warning signals Fewer vendors and product offerings Operating systems become irrelevant Customers generally not driving toward Linux Strategies to use Maintain legal awareness Track the technology closely Identify areas for fit with Linux Maintain Linux core team Early warning signals Lower prices; new vendors in the market IT must respond to high demand for Linux-based systems; retraining and budget impact Applications required to interface with Open Source databases Strategies to use Migrate all systems to Linux environment Re-evaluate applications architecture Re-rationalize tools, frameworks, architectures and procedures for a Linux world “ Niche market” Total cost of ownership (Low) “ Penguins rule”
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Scenario usage for Manning Ltd, 60 mins
Uncertainty 1 (high) Early warning signals Strategies to use Early warning signals Strategies to use Uncertainty 2 (Low) Uncertainty 2 (High) Early warning signals Strategies to use Early warning signals Strategies to use Uncertainty 1 (Low)
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