How intelligent is Watson? Enabling digital transformation through artificial intelligence

Abstract Due to its intrinsic characteristics, artificial intelligence (AI) can be considered a general-purpose technology (GPT) in the digital era. Most studies in the field focus on the ex-post recognition and classification of GPT but in this article, we look at a GPT design ex-ante by reviewing the extreme and inspiring example of IBM’s Watson. Our objective is to shed light on how companies can create value through AI. In particular, our longitudinal case study highlights the strategic decisions IBM took to create value in two dimensions: internal development and external collaborations. We offer relevant implications for practitioners and academics eager to know more about AI in the digital world.

[1]  Robert G. Cooper,et al.  Perspective: The Stage‐Gate® Idea‐to‐Launch Process—Update, What's New, and NexGen Systems* , 2008 .

[2]  Marco S. Giarratana,et al.  General technological capabilities, product market fragmentation, and markets for technology , 2013 .

[3]  Henry Chesbrough The Governance and Performance of Xerox's Technology Spin-Off Companies , 2003 .

[4]  A. McGahan,et al.  Business-Model Innovation: General Purpose Technologies and their Implications for Industry Structure , 2010 .

[5]  Neeraj Bharadwaj,et al.  Finding Innovation in Data Rich Environments , 2017 .

[6]  Antonio Messeni Petruzzelli,et al.  Investigating the antecedents of general purpose technologies , 2016 .

[7]  Daniel A. Levinthal,et al.  Innovation and Learning: The Two Faces of R&D , 1989 .

[8]  Kalle Lyytinen,et al.  Organizing for Innovation in the Digitized World , 2012, Organ. Sci..

[9]  K. Cuhls From forecasting to foresight processes—new participative foresight activities in Germany , 2003 .

[10]  Henry Chesbrough,et al.  Open Innovation: The New Imperative for Creating and Profiting from Technology , 2003 .

[11]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[12]  Stuart J. H. Graham,et al.  Assessing the nature of nanotechnology: can we uncover an emerging general purpose technology? , 2008 .

[13]  A. Pettigrew Longitudinal Field Research on Change: Theory and Practice , 1990 .

[14]  Davide Chiaroni,et al.  The Role of Digital Technologies in Open Innovation Processes: An Exploratory Multiple Case Study Analysis , 2020 .

[15]  P. O'Donovan,et al.  Big data in manufacturing: a systematic mapping study , 2015, Journal of Big Data.

[16]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .

[17]  Robert K. Yin,et al.  Applications of case study research , 1993 .

[18]  Elhanan Helpman,et al.  Adjusting to a New Technology: Experience and Training , 1998 .

[19]  Andreas M. Kaplan,et al.  Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence , 2019, Business Horizons.

[20]  Yves L. Doz,et al.  The science behind the smile. Interview by Gardiner Morse. , 2012 .

[21]  Daniel A. Levinthal The Slow Pace of Rapid Technological Change: Gradualism and Punctuation in Technological Change , 1998 .

[22]  Alex Pentland,et al.  Big Data and Management , 2014 .

[23]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[24]  Claudio Dell' Era,et al.  Unveiling opportunities afforded by emerging technologies: evidences from the drone industry , 2018, Technol. Anal. Strateg. Manag..

[25]  Karim R Lakhani,et al.  Using the crowd as an innovation partner. , 2013, Harvard business review.

[26]  Sunil Erevelles,et al.  Big Data consumer analytics and the transformation of marketing , 2016 .

[27]  Hans Kjellberg,et al.  Segmenting a market in the making: Industrial market segmentation as construction , 2010 .

[28]  Roberto Verganti,et al.  Radical Design and Technology Epiphanies: A New Focus for Research on Design Management , 2011 .

[29]  Roberto Verganti,et al.  Discovering quiescent meanings in technologies: exploring the design management practices that support the development of Technology Epiphanies , 2017, Technol. Anal. Strateg. Manag..

[30]  M. Haas,et al.  Information, Attention, and Decision Making , 2015 .

[31]  R. Verganti Overcrowded: Designing Meaningful Products in a World Awash with Ideas , 2017 .

[32]  Jakob Kapeller,et al.  Open strategy-making with crowds and communities: Comparing Wikimedia and Creative Commons , 2017, Long Range Planning.

[33]  Nathaniel N. Hartmann,et al.  Business models as service strategy , 2017 .

[34]  V. Albino,et al.  Search and Recombination Process to Innovate: A Review of the Empirical Evidence and a Research Agenda , 2017 .

[35]  Kalle Lyytinen,et al.  Digital Innovation Management: Reinventing Innovation Management Research in a Digital World , 2017, MIS Q..

[36]  K. Storbacka,et al.  SMASH: Using Market Shaping to Design New Strategies for Innovation, Value Creation, and Growth , 2018 .

[37]  D. Edge,et al.  The social shaping of technology , 1988 .

[38]  Preston G. Smith,et al.  Shortening the Product Development Cycle , 1992 .

[39]  Stefan H. Thomke,et al.  Six Myths of Product Development , 2012 .

[40]  Marcel Bogers,et al.  Open innovation: current status and research opportunities , 2016 .

[41]  Sanjay Jain,et al.  Incomplete by Design and Designing for Incompleteness , 2008 .