Artificial intelligence: Building blocks and an innovation typology

Business Horizons - Tập 63 Số 2 - Trang 147-155 - 2020
Ulrich Paschen1, Christine Pitt2, Jan Kietzmann3
1Luleå University of Technology, 971 87 Luleå, Sweden
2Royal Institute of Technology (KTH), 114 28 Stockholm, Sweden
3University of Victoria, Victoria, BC, V8P 5C2, Canada

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Tài liệu tham khảo

Ackoff, 1989, From data to wisdom, Journal of Applied Systems Analysis, 16, 3

Aleksander, 2017, Partners of humans: A realistic assessment of the role of robots in the foreseeable future, Journal of Information Technology, 32, 1, 10.1057/s41265-016-0032-4

Armstrong, 2014, The errors, insights, and lessons of famous AI predictions–And what they mean for the future, Journal of Experimental & Theoretical Artificial Intelligence, 26, 317, 10.1080/0952813X.2014.895105

Bentley, 2018, The three laws of artificial intelligence: Dispelling common myths, 6

Campbell, 2020, From data to action: How marketers can leverage AI, Business Horizons, 63, 227, 10.1016/j.bushor.2019.12.002

Campolo, 2017

Canhoto, 2020, Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential, Business Horizons, 63, 183, 10.1016/j.bushor.2019.11.003

Cellan-Jones

Christensen, 2013

Doan, 2009

Evans, 2003, AI and robotics, Industrial Robot: International Journal, 30

Forsyth, 2011

Granstrand, 1997, Multi-technology corporations: Why they have “distributed” rather than “distinctive core” competencies, California Management Review, 39, 8, 10.2307/41165908

Helbing, 2019, Will democracy survive big data and artificial intelligence?, 73

Huang, 2006, Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge, Knowledge-Based Systems, 19, 396, 10.1016/j.knosys.2006.04.003

Jarrahi, 2018, Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making, Business Horizons, 61, 577, 10.1016/j.bushor.2018.03.007

Kakatkar, 2020, Innovation analytics: Leveraging artificial intelligence in the innovation process, Business Horizons, 63, 171, 10.1016/j.bushor.2019.10.006

Keynes, 1931, Economic possibilities for our grandchildren

Kietzmann, 2018, Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey, Journal of Advertising Research, 58, 263, 10.2501/JAR-2018-035

Kietzmann, 2020, Artificial intelligence and machine learning: What managers need to know, Business Horizons, 63, 131, 10.1016/j.bushor.2019.11.005

Lee, 2015, The internet of things (IoT): Applications, investments, and challenges for enterprises, Business Horizons, 58, 431, 10.1016/j.bushor.2015.03.008

Lee, 2020, Machine learning for enterprises: Applications, algorithm selection, and challenges, Business Horizons, 63, 157, 10.1016/j.bushor.2019.10.005

Lewis, 2016

Lu, 2002

Manyika, 2015

McCorduck, 2009

Paschen, 2019, Artificial intelligence (AI) and its implications for market knowledge in B2B marketing, Journal of Business and Industrial Marketing, 34, 1410, 10.1108/JBIM-10-2018-0295

Paschen, 2020, Collaborative intelligence: How human and artificial intelligence create value along the B2B funnel, Business Horizons, 63, 10.1016/j.bushor.2020.01.003

Pecora, 2014, Is model-based robot programming a mirage? A brief survey of AI reasoning in robotics, KI-Künstliche Intelligenz, 28, 255, 10.1007/s13218-014-0325-0

Poole, 2010

Powles, 2017, Google DeepMind and healthcare in an age of algorithms, Health Technology, 7, 351, 10.1007/s12553-017-0179-1

Sebag, 2014, A tour of machine learning: An AI perspective, AI Communications, 27, 11, 10.3233/AIC-130580

Silver, 1995, The information technology interaction model: A foundation for the MBA core course, MIS Quarterly, 19, 361, 10.2307/249600

Tecuci, 2012, Artificial intelligence, WIREs: Computational Statistics, 4, 168

Tushman, 1986, Technological discontinuities and organizational environments, Administrative Science Quarterly, 31, 439, 10.2307/2392832

Vinge, 1993, The coming technological singularity: How to survive in the post-human era, 11

Zhuang, 2017, Challenges and opportunities: From big data to knowledge in AI 2.0, Frontiers of Information Technology and Electronic Engineering, 18, 3, 10.1631/FITEE.1601883