My Scenario Planning Bibliography

Ask, and you shall receive. The full list of my scenario planning research is below:

Baer, T. & Kamalnath , V., 2017. Controlling machine-learning algorithms and their biases. [Online]
Available at: https://www.mckinsey.com/business-functions/risk/our-insights/controlling-machine-learning-algorithms-and-their-biases
[Accessed November 2017].

Baer, T. & Kamalnath, V., 2017. Controlling machine-learning algorithms and their biases. [Online]
Available at: https://www.mckinsey.com/business-functions/risk/our-insights/controlling-machine-learning-algorithms-and-their-biases
[Accessed November 2017].

Bain Brief, 2017. Banking Strategy for the Long Game. [Online]
Available at: http://www.bain.com/publications/articles/banking-strategy-for-the-long-game.aspx
[Accessed November 2017].

Balea, J., 2016. This startup uses AI to automatically generate videos from text articles. [Online]
Available at: https://www.techinasia.com/gliacloud-uses-artificial-intelligence-to-automatically-turn-text-into-video
[Accessed 2018].

Bass, D. & Huet, E., 2017. Researchers Combat Gender and Racial Bias in Artificial Intelligence. [Online]
Available at: https://www.bloomberg.com/news/articles/2017-12-04/researchers-combat-gender-and-racial-bias-in-artificial-intelligence
[Accessed December 2017].

Beck, P. W., 1982. Corporate Planning for an Uncertain Future. Long Range Planning, 15(4), pp. 12–21.

Bergstein, B., 2017. The Great AI Paradox. [Online]
Available at: https://www.technologyreview.com/s/609318/the-great-ai-paradox/
[Accessed December 2017].

Bishop, P., Hines , A. & Collins, T., 2007. The current state of scenario development: an overview of techniques. Foresight, 9(1), pp. 5–25.

Bradfield, R., Derbyshire, J. & Wright, G., 2016. The critical role of history in scenario thinking: Augmenting causal analysis within intuitive loigcs scenario development methodology. Futures, 22 February, Volume 77, pp. 56–66.

Buchanan, M., 2018. Want to Get Wisdom? Be Your Own Crowd. [Online]
Available at: https://www.bloomberg.com/view/articles/2018-01-17/want-to-get-wisdom-be-your-own-crowd
[Accessed 20 January 2018].

Burt, G. & van der Heijden, K., 2003. First steps towards purposeful activities in scenario thinking and future studies. Futures, Volume 35, pp. 1011–1026.

Calof, J., Miller, R. & Jackson, M., 2012. Towards impactful foresight: viewpoints from foresight consultants and academics. Foresight, 14(1), pp. 82–97.

Comes, T., Wijngaards, N. & Van de Walle, B., 2015. Exploring the future: Runtime scenario selection for complex and time-bound decisions. Technological Forecasting & Social Change, August, Volume 97, pp. 29–46.

Davenport, T. H. & Bean, R., 2017. How Machine Learning Is Helping Morgan Stanley Better Understand Client Needs. [Online]
Available at: https://hbr.org/2017/08/how-machine-learning-is-helping-morgan-stanley-better-understand-client-needs
[Accessed November 2017].

Davenport, T. H. & Ronanki, R., 2018. Artificial Intelligence for the Real World. Harvard Business Review, 01/02, 96(1), pp. 108–116.

De Ruijter, P., 2016. Artificial Intelligence and Big Data in Scenario Planning. [Online]
Available at: https://www.deruijter.net/publicaties/artificial-intelligence-big-data-scenario-planni.html
[Accessed June 2017].

De Ruijter, P. & Alkema, H., 2014. Scenario Based Strategy. 1st Edition ed. Burlington(VT): Gower Publishing Company.

Deloitte, 2018. Technology, Media and Telecommunications Predictions. [Online]
Available at: https://www2.deloitte.com/content/dam/Deloitte/global/Images/infographics/technologymediatelecommunications/gx-deloitte-tmt-2018-predictions-full-report.pdf
[Accessed January 2018].

Dorard, L., 2017. From Data to AI with the Machine Learning Canvas (Part II). [Online]
Available at: https://www.linkedin.com/pulse/from-data-ai-machine-learning-canvas-part-ii-louis-dorard/
[Accessed December 2017].

DTIM Europe, 2018. Attendees. [Online]
Available at: http://disruptive-technologies-europe.com/en/attendees/
[Accessed August 2017].

Dubey, R. et al., 2017. Can big data and predictive analytics improve social and environmental sustainability?. Technological Forecasting & Social Change, 15 July, Volume XX, pp. xx-xx.

Durst, C. & Durst, M., 2016. End2End Innovation — from Environmental Scanning to the Innovation Roadmap. [Online]
Available at: http://donar.messe.de/exhibitor/cebit/2017/M389871/end2end-innovation-eng-475260.pdf
[Accessed October 2017].

Durst, C. et al., 2015. A holistic approach to strategic foresight: A foresight support system for the German Federal Armed Forces. Technological Forecasting & Social Change, August, Volume 97, pp. 91–104.

Durst, C., Durst, M. & Saffer, M., 2016. Shaping Change — Trend Management in Practice. [Online]
Available at: itonics.de
[Accessed November 2017].

Durst, C., Durst, M. & Saffer, M., 2017. Weak Signals, Hypes or Trends — Identify Innovation Opportunities and stay ahead of your Game. [Online]
Available at: itonics.de
[Accessed November 2017].

Easterby-Smith, M., Thorpe, R. & Jackson, P. R., 2015. Management and Business Research. 5th Edition ed. New York: Sage.

Engelbert , C. & Hagel III , J., 2017. Fulfilling the Promise of AI Requires Rethinking the Nature of Work Itself. [Online]
Available at: https://hbr.org/2017/12/fulfilling-the-promise-of-ai-requires-rethinking-the-nature-of-work-itself
[Accessed December 2017].

Engelbert, C. & Hagel III, J., 2017. Fulfilling the Promise of AI Requires Rethinking the Nature of Work Itself. [Online]
Available at: https://hbr.org/2017/12/fulfilling-the-promise-of-ai-requires-rethinking-the-nature-of-work-itself
[Accessed December 2017].

Enserink, B., 2002. Creating a Scenario Logic — Design and Application of a Repeatable Methodology. Delft, Faculty of Technology, Policy and Management, Delt University of Technology.

ExpertSystems , 2016. An important element of an effective business strategy is a deep understanding of your customers and your competitors.. [Online]
Available at: http://www.expertsystem.com/social-media-open-source-intelligence-techniques-can-work-together/
[Accessed 13 01 2018].

Faulkner, M. & Corkindale, D. R., 2009. Are experts better than potential users in predicting the uptake of an innovation? Extending the use of the Juster Scale. Technological Forecasting & Social Change, 76(7), pp. 910–916.

Felden, F., Krueger, T. & De Meyer, W., 2017. TeBIT 2017 Executive Report: TIME TO DOUBLE DOWN ON AI AND ROBOTICS. [Online]
Available at: http://img-stg.bcg.com/BCG-Time-to-Double-Down-on-AI-and-Robotics-Oct-2017_tcm9-172476.pdf
[Accessed November 2017].

Ferrucci, D. et al., 2010. Building Watson: An Overview of the DeepQA Project. Association for the Advancement of Articial Intelligence, pp. 59–79.

Foresight Cards, 2013. STEEP explained. [Online]
Available at: https://foresightcards.com/background-information/steepexplained/
[Accessed October 2017].

Frade, C., 2016. Social Theory and the Politics of Big Data and Method. Sociology, 50(5), pp. 863–877.

Glenn, J. C., 2015. Collective intelligence systems and an application by the Millennium Project for the Egyptian Academy of Scientific Research and Technology. Technological Forecasting & Social Change, Volume 97, pp. 7–14.

Godet, M. & Roubelat, F., 1996. Creating the Futures: The Use and Misues of Scenarios. Long Range Planning, 29(2), pp. 164–171.

Haegeman, K., Weber, K. M. & Könnölä, T., 2012. Preparing for grand challenges: the role of future- oriented technology analysis in anticipating and shaping structural and systemic changes. Technology Analysis & Strategic Management, September, 24(8), p. 729–734.

Haegman, K. et al., 2013. Quantitative and qualitative approaches to Future-oriented Technology Analysis (FTA): From combination to integration?. Technological Forecasting & Social Change, Volume 80, pp. 386–397.

Hodgkinson, G. P., Whittington, R., Johnson, G. & Schwarz, M., 2006. The Role of Strategy Workshops in Strategy Development Porcesses: Formality, Communication, Co-ordination and Inclusion. Long Range Planning, Volume 39, pp. 476–496.

Hodgkinson, G. P. & Wright, G., 2002. Confronting Strategic Inertia in a Top Management Team: Learning from Failure. Organization Studies, 23(6), pp. 949–977.

Holloway, C., 1983. Strategic Management and Artificial Intelligence. Long Range Planning, 16(5), pp. 89–93.

Hong, S. et al., 2015. Design of Marketing Scenario Planning Based on Business Big Data Analysis. In: HCI in Business. HCIB 2015. Lecture Notes in Computer Science. Cham: Springer, pp. 585–592.

Ho, T.-H. & Chen, K.-Y., 2007. New Product Blockbusters: The Magic and Science of Prediction Markets. California Management Review, 50(1), pp. 144–157.

IBM Corporation, 2013. ibm.com. [Online]
Available at: ibm.com/software/products
[Accessed September 2017].

ITONICS, 2018. ITONICS start page. [Online]
Available at: https://www.itonics.de/
[Accessed August 2017].

Kaplan, S. & Orlikowski, W., 2014. Beyond Forecasting: Creating New Strategic Narratives. MIT Sloan Management Review, 56(1), pp. 23–28.

Keller, J. & von der Gracht, H., 2014. The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey. Technological Forecasting & Social Change, Volume 85, pp. 81–92.

Keough, S. M. & Shanahan, K. J., 2008. Scenario Planning: Towards a More Complete Model for Practice. Advances in Developing Human Resources, April, 10(2), pp. 166–178.

Laerd Statistics, 2018. Measures of Central Tendency. [Online]
Available at: https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php
[Accessed 2018].

LinkedIn, 2018. LinkedIn. [Online]
Available at: https://www.linkedin.com/feed/
[Accessed 2017].

MacKay, B. & McKiernan, P., 2006. Back to the Future: History and the Diagnosis of Envrionmental Context. International Studies of Management & Organization, 36(3), pp. 93–109.

MacKay, R. B. & Stoyanova, V., 2017. Scenario planning with a socialogical eye: Augmenting the intuitive logic approach to understanding the Future of Scotland and the UK. Technological Forecasting & Social Change, Volume 124, pp. 88–100.

Markmann, C., Darkow, I.-L. & von der Gracht, H., 2013. A Delphi-based risk analysis — Identifying and assessing future challenges for supply chain security in a multi-stakeholder envrionment. Technological Forecasting & Social Change, Volume 80, pp. 1815–1833.

Matzler, K., Grabher, C., Huber, J. & Fueller, J., 2013. Predicting new product success with predicition markets in online communities. R&D Management, 43(5), pp. 420–432.

McKiernan, P., 2006. Exploring Environmental Context Within the History of Strategic Management. International Studies of Management & Organization, 36(3), pp. 7–21.

McKiernan, P., 2016. Prospective thinking; scenario planning meets neuroscience. Technological Forecasting & Social Change, 21 October, xxx(xxx), p. xxx.

McKinsey Center for Future Mobility, 2018. ARTIFICIAL INTELLIGENCE — AUTOMOTIVE’S NEW VALUE-CREATING ENGINE. [Online]
Available at: https://www.mckinsey.com/~/media/mckinsey/industries/automotive%20and%20assembly/our%20insights/artificial%20intelligence%20as%20auto%20companies%20new%20engine%20of%20value/artificial-intelligence-automotives-new-value-creating-engine.ashx
[Accessed January 2018].

Metz, C., 2017. Building A.I. That Can Build A.I.. [Online]
Available at: https://www.nytimes.com/2017/11/05/technology/machine-learning-artificial-intelligence-ai.html
[Accessed November 2017].

Millward, S., 2017. Would you vote for this AI politician?. [Online]
Available at: https://www.techinasia.com/vote-virtual-politician
[Accessed December 2017].

Mintzberg, H., 1994. Rethinking Strategic Planning Part II: New Roles for Planners. Long Range Planning, 27(3), pp. 22–30.

Miranda Santo, M. d., Coelho, G. M., Santos, D. M. d. & Filho, L. F., 2006. Text mining as a valuable tool in foresight exercises: A study on nanotechnology. Technological Forecasting & Social Change, Volume 73, pp. 1013–1027.

Mortelli, A., 2014. From Scenario Building to Scenario Planning: Intuitive Logic and Trend Impact Analysis. In: B. o. M. Series, ed. Models of Scenario Building and Planning. London: Palgrave Macmillan, pp. 124–156.

Noonan, L., 2017. ING launches artificial intelligence bond trading tool Katana. [Online]
Available at: https://www.ft.com/content/1c63c498-de79-11e7-a8a4-0a1e63a52f9c
[Accessed December 2017].

Nvivo, 2018. NVivo Products. [Online]
Available at: http://www.qsrinternational.com/nvivo/nvivo-products
[Accessed 2018].

Petrakis, P. E., Kostis, P. C. & Kafka, K. I., 2015. Secular Stagnation, faltering innovation and high uncertainty: New-era entreprenuershp appraisal using knowledge-based thinking. Journal of Business Research, Volume 69, pp. 1909–1913.

Phandis, S., Caplice, C. & Sheffi, Y., 2016. How Scneario Planning Influences Strategic Decision. MIT SLoan Management Review, pp. 22–27.

Phelps, R., Chan, C. & Kapsalis, S., 2001. Does scenario planning affect performance? Two exploratory studies. Journal of Business Research, Volume 51, p. 223±232.

Plaschke , F., Seth, I. & Whiteman , R., 2018. Bots, algorithms, and the future of the finance function. [Online]
Available at: https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/bots-algorithms-and-the-future-of-the-finance-function
[Accessed January 2018].

Plaschke, F., Seth, I. & Whiteman, R., 2018. Bots, algorithms, and the future of the finance function. [Online]
Available at: https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/bots-algorithms-and-the-future-of-the-finance-function
[Accessed January 2018].

Postma, T. J., Broekhuizen, T. L. & van den Bosch, F., 2012. The contribution of scenario analysis to the front-end of new product development. Futures, 44(6), pp. 642–654.

Postma, T. J. & Liebl, F., 2005. How to improve scenario analysis as a strategic management tool?. Technological Forecasting & Social Change, Volume 72, pp. 161–173.

Powell, T. C., 2003. Research notes and commentaries. Strategy without ontology. Strategic Management Journal , Volume 24, pp. 285–291.

Prokesch, T., von der Gracht, H. A. & Wohlenberg, H., 2015. Integrating prediction market and Delphi methodology into a foresight support system — Insights from an online game. Technological Forecasting & Social Change, Volume 97, pp. 47–64.

Purao, S., 2013. Truth or Dare: The Ontology Question in Design Science Research. Journal of Database Management, 24(3), pp. 51–66.

Raford, N., 2015. Online foresight platforms: Evidence for their impact on scenario planning & strategic foresight. Volume 97, pp. 65–76.

Ramirez, R. & Wilkinson, A., 2014. Rethinking the 2 x 2 scenario method: Grid or frames?. Technologival Forecasting & Social Change, Volume 86, pp. 254–264.

Rao, A., Voyales, J. & Ramchandani , P., 2017. Top 10 artificial intelligence (AI) technology trends for 2018. [Online]
Available at: http://usblogs.pwc.com/emerging-technology/top-10-ai-tech-trends-for-2018/
[Accessed December 2017].

Rigby, D. & Bilodeau, B., 2007. Management Tools and Trends 2007, s.l.: Bain & Company.

Rohrbeck, R. & Kum, M. E., 2017. Corporate foresight and its impact on firm performance: A longitudinal analysis. Technological Forecasting & Social Change, XXX(XX), pp. XX-XX.

Rohrbeck, R., Thom, N. & Arnold, H., 2015. IT tools for foresight: The integrated insight and response system of Deutsche Telekom Innovation Laboratories. Technological Forecasting & Social Change, Volume 97, pp. 115–126.

Ruijter, P. d., 2016. Artificial Intelligence and Big Data in Scenario Planning. [Online]
Available at: https://www.deruijter.net/publicaties/artificial-intelligence-big-data-scenario-planni.html
[Accessed June 2017].

Schatzmann, J., Schaefer, R. & Eichelbaum, F., 2013. Foresight 2.0 — Definition, overview & evaluation. The European Journal of Futures Research, 1(15), pp. 1–15.

Schoemaker, P. J. & van der Heijden, C. A., 1993. Strategic Planning at Royal Dutch/Shell. Journal of Strategic Change, Volume 2, pp. 157–171.

Schuckmann, S. W., Gnatzy, T., Darkow, I.-L. & von der Gracht, H. A., 2012. Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study. Technological Forecasting & Social Change, October, 79(8), pp. 1373–1387.

Schwartz, P., 1992. The Art of the Long View. ABI/INFORM, May, 45(10), pp. 78–82.

Shanks, M., 1982. Social Trends: Urgent Issues for Management. Long Range Planning, 15(1), pp. 12–18.

Simmons, J. P., Nelson, L. D., Galak, J. & Frederick, S., 2011. Intuitive biases in choice versus estimation: implications for the wisdom of crowds. Journal of Consumer Research, June, 38(1), pp. 1–15.

Skulimowski, A. M., 2012. A Foresight Support System to Manage Knowledge on Information Society Evolution. Progress & Business Foundation, pp. 246–259.

Strategic Direction, 2015. Strategists who look both past and future: Prospective hindsight offers a new approach to decision-making. Strategic Direction, 31(11), pp. 24–26.

Survey Monkey, 2018. Survey Monkey. [Online]
Available at: https://www.surveymonkey.com
[Accessed 2017].

Sweijs, T. & De Spiegeleire, S., 2016. The Use and Utility of Strategic Foresight in Security and Defense Planning: Observations from the Field. Atlanta, ResearchGate, pp. 3–9.

Syrett, M., 2012. The Economist: Successful Strategy Execution. How to keep your business goals on target. 2nd Edition ed. London: Profile Books.

Taleb, N. N., 2007. The black swan: the impact of the highly improbable. 2nd Edition ed. 2007: Random House Trade Paperbacks.

Tetlock, P. E. & Gardner, D., 2015. Superforecasting: The Art and Science of Prediction. 2nd Edition ed. New York: Broadway Books.

Tilley, F. & Fuller, T., 2000. Foresighting methods and their role in researching small firms and sustainability. Futures, Volume 32, pp. 149–161.

van der Heijden, K., Bradfield, R., Burt, G. & Wright, G., 2002. The Sixth Sense. Accelerating Organizational Learnings with Scenarios. 1st Edition ed. West Sussex: John Wiley & Sons.

Varum, C. A. & Melo, C., 2010. Directions in scenario planning literature — A review of the past decades. Futures, Volume 42, pp. 355–369.

von der Gracht, H. A. et al., 2015. Foresight support systems: The Future roll of ICT for foresight. Technological Forecasting & Social Change, Volume 97, pp. 1–6.

Wack, P., 1985. Scenarios: Uncharted Waters Ahead. Harvard Business Review, Issue September.

Weick, K. E., 1995. Sensemaking in organizations. London: Sage.

Wenjuan, W. & Duffy, A., 2009. A Triangulation Approach for Design Research. Stanford, University of Strathclyde.

Wright, A., 2004. A Social constructionist’s deconstruction of Royal Dutch Shell’s scenario planning process. Working Paper Series, University of Wolverhampton.

Wright, G., Bradfield, R. & Cairns, G., 2013. Does the intuitive logics method — and its recent enhancements — produce “effective” scenarios?. Technological Forecasting & Social Change, Volume 80, pp. 631–642.

Wright, G., Bradfield, R. & Cairns, G., 2013. Does the intuitive logics method — and its recent enhancements — produce effective scenarios?. Technological Forecasting & Social Change, Volume 80, pp. 631–642.

Z_punkt, 2018. Z_punkt start page. [Online]
Available at: http://www.z-punkt.de/en/
[Accessed September 2017].

Zentner, R. D., 1982. Scenarios, Past, Present and Future. Long Range Planning, 15(3), pp. 12–20.