Upgrading strategies for the digital economy

AuthorTimothy J. Sturgeon
DOIhttp://doi.org/10.1002/gsj.1364
Date01 February 2021
Published date01 February 2021
SPECIAL ISSUE ARTICLE
Upgrading strategies for the digital economy
Timothy J. Sturgeon
MIT Industrial Performance Center, Cambridge, Massachusetts
Correspondence
Timothy J. Sturgeon, MIT Industrial
Performance Center, Cambridge, MA.
Email: sturgeon@mit.edu
Funding information
Sveriges Regering
Abstract
Research Summary:Although computerization has been
enabling changes in the structure and economic geography
of industries for decades, recent public discourse has
become focused on a set of newadvanced digital tech-
nologies and technology applications that appear poised to
dramatically reduce demand for routine tasks and trans-
form the organization and content of work. How are these
changes shaping the strategic options for companies and
policy-makers in less-developed economies? This paper
disentangles the old and new features of the digital econ-
omy; distills three key business strategies underpinning its
organization: modularity, open innovation, and platforms;
and summarizes some of the benefits and risks for society.
It explores the strategy and policy options available for
firms and policy-makers in less developed places, with a
focus on innovation and market positioning.
Managerial Summary:How is the digital economy shap-
ing strategic options for managers in less-developed econ-
omies? This paper disentangles the old and new features
of the digital economy and distills three key business strat-
egies underpinning its organization: modularity, open
innovation, and platforms. It then explores strategic
options available for firms in less developed places, with a
focus on innovation and market positioning. While core
platform owners will have the capability and authority to
accumulate, access, and analyze large pools of data, access
to all of the world's relevant data is not required to speed
innovation or carve out new market space in the digital
economy. The opportunities may be greatest in industrial
Received: 17 May 2019 Revised: 4 October 2019 Accepted: 4 October 2019
DOI: 10.1002/gsj.1364
34 © 2019 Strategic Management Society Global Strategy Journal. 2021;11:3457.wileyonlinelibrary.com/journal/gsj
applications, where the continued importance of physical
systems and industry-specific domain knowledge drives
adaptation and customization.
KEYWORDS
advanced manufacturing, digital economy, modularity, platform
innovation, platform layering
1|INTRODUCTION
Recent public debate has become focused, with increasing frequency and urgency, on the immine nt
arrival of a 4
th
Industrial Revolutionwhich is said to be creating a newdigital economy powered
by advanced cyber-physicalsystems spanning advancedmanufacturing, transportation, services,
and even biological systems (Rose, 2016; Schwab, 2015, 2016). The products and services com-
monly mentioned in connection to the digital economy can be divided into two main market seg-
ments: industrial and consumer, and into four cross-cutting, base technology areas: (a) new sources
of data flowing via ubiquitous and often mobile internet connectivity, sometimes referred to as the
internet of things (IoT), (b) cloud computing, (c) big data analytics, and (d) artificial intelligence
(AI). In general, these advanced digital technologies could accelerate three ongoing trends in the
organization, work content, and geography of industries: (a) the continued fine-slicing of activities
into ever narrower and more specialized business functions, (b) the organization and spatial
separation of deskilled or low-skill jobs from knowledge-intensive jobs; and (c) the automation of
the low-skill tasks and/or their mobility to lower wage locations (Mudambi, 2008). Simply put, a fun-
damental characteristic of global value chains (GVCs), the increasing spatial separation of innovation
from production, could further accelerate.
The idea that the digital economy will advance with great rapidity creates worry about disloca-
tions, especially from rapid reductions in demand for labor-intensive and routine jobs from automa-
tion, autonomy, and artificial intelligence. Because they are far from core innovation regions
(e.g., Silicon Valley and Southern Germany), firms and industries in low- and middle-income coun-
tries run the additional risk of rising technological dependency and further isolation and exclusion
from high-value segments of these fast-moving and sometimes oligopolistic digital value chains.
They may receive work, but experience an intensification thin industrialization(Whittaker et al., in
press) because innovation remains in economies where core technology is developed while automa-
tion simultaneously decreases demand for unskilled labor. On the other hand, the technologies and
platforms underpinning the digital economy hold great promise for increasing the productivity and
global connectedness of consumers, workers, firms, and industries operating on the margins, and
may be providing powerful new tools for accelerating innovation in the periphery as well.
To help parse these opposite potentials, there is a need for an objective and concise description of
the digital economy and the strategic options it offers firms and industries in less developed coun-
tries. The first half of the paper provides an overview of the main features of the digital economy. It
identifies, in relatively simple and non-technical terms, its venerable and novel aspects and briefly
summarizes some of the main features of the aforementioned market segments and technology areas.
It also characterizes three key business models underpinning the organization of the digital economy
(modularity, open innovation, and platforms), and introduces the key concept of platform layering.
STURGEON 35

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