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			<title><![CDATA[What is Digital Myopia?]]></title>
			<author><![CDATA[Prof Mohan Subramaniam]]></author>
			<category domain="http://www.professormohan.com/blog/index.php?category=Data_Analytics"><![CDATA[Data Analytics]]></category>
			<category>imblog</category>
			<description><![CDATA[<div id="imBlogPost_000000007"><div>In 1960, Professor Ted Levitt at the
Harvard Business School, published an influential paper called <i>Marketing
Myopia</i>. He noted that when firms focus purely on their prevailing products,
they often lose sight of the changing needs of their customers. Firms focused
on making buggy whips, for instance, failed to see their customers shifting
from horse carriages to other forms of transportation. To avoid such myopia, he
implored firms to ask the question: what business are we in? For the classic
example, if the buggy whip company had asked the relevant question – are we in
the buggy whip business or in the transportation business? – it may have
avoided being disrupted. It might have moved to sell other products suited for
customers using new means of transportation other than horse carriages.</div>

<div> </div>

<div>The notion of “business” soon became
synonymous with “industry.” Even Professor Levitt’s original article
intersperses the terms business and industry frequently. Not surprisingly,
Professor Levitt’s famous question more commonly was paraphrased as: What <i>industry</i>
are we in? And a related follow-up question, implicit with this line of
thinking was: How should we adapt our <i>products</i> to changing trends in our
industry? The buggy whip firm, following this rationale, would have tried to
adapt its products to changing trends in the transportation industry.</div>

<div> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</div>

<div>In the modern digital world, Professor
Levitt’s advice still rings true. “What business are we in?” is still a
relevant question. Yet, the ways to interpret that question have changed.
Modern-day myopia has changed from <i>marketing</i> myopia to <i>digital</i>
myopia. Digital myopia stems from a continued insistence of firms to rely on
products and industries for competitive advantage. What causes digital myopia?
For years we are accustomed to framing competitive strategy along three primary
anchors: products that generate revenues, value chains that help position
products, and industry structures that amplify the value of products. Continued
reliance solely on these three anchors causes digital myopia. Firms then fail
to see their customers increasingly shifting their preferences from regular
products to new data-driven services and digital experiences. They fail to
recognize the value of emerging digital ecosystems that can amplify the value
of their data and generate data-driven services. And they fail to see how the
power of data and digital ecosystems can expand their business horizons. My
upcoming book, <span class="fs14lh1-5"><b>“<i>The Future of Competitive Strategy: Unleashing the Power of
Data and Digital Ecosystems</i>” </b></span>provides insights on how to overcome digital
myopia.</div></div>]]></description>
			<pubDate>Sat, 07 Aug 2021 23:38:00 GMT</pubDate>
			<link>http://www.professormohan.com/blog/?leveraging-data-powerhouses</link>
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			<title><![CDATA[The Power of Consumption Ecosystems]]></title>
			<author><![CDATA[Prof Mohan Subramaniam]]></author>
			<category domain="http://www.professormohan.com/blog/index.php?category=Data_Analytics"><![CDATA[Data Analytics]]></category>
			<category>imblog</category>
			<description><![CDATA[<div id="imBlogPost_000000006"><div><div>Ecosystems
epitomize interdependencies. Just as multiple species and diverse life forms thrive
in an interlocked ecology, firms too flourish because of robust
interdependencies across various business entities. Indeed, for long our
fundamental tents of competitive strategy have hinged on managing the forces of
these interdependencies, such as with a firm’s buyers, suppliers or rivals
within any specific industry. Yet with the onset of digitization, business
interdependencies are changing in some fundamental ways, ushering in fresh opportunities
to create new value. </div>

<div>The contrast between industrial and digital
age interdependencies can be best seen in the distinction between <i>production</i>
and <i>consumption</i> ecosystems. Production ecosystems consist of
interdependencies enmeshed in a value chain, such as producing and selling a
product or delivering a service for the customer. Conversely, consumption
ecosystems consist of interdependencies that evolve after a product is sold or
a service is offered, and as it is being used or consumed. </div>

<div><span class="fs11lh1-5 ff1"> </span></div>

<div>For a conventional industrial age light
bulb for instance, production ecosystems entail interdependencies such as those
across various suppliers, manufacturing and assembly plants, R&amp;D,
distributors and retailers. Its consumption ecosystems on the other hand entail
interdependencies that come into play after the bulb is sold, and are required
to consume or use the bulb; such as, the availability of sockets, wiring and
electricity. Most industrial age firms were designed to focus primarily on
their production ecosystems, as consumption ecosystems were rarely relevant to
their business models. Established bulb manufacturers such as GE and Philips
for example, have long been proficient at coordinating hundreds of suppliers,
scores of integrated or outsourced plants, and various distributors and mass
retailers such as Sears, Walmart or Home Depot. Engaging in the domains of
sockets, wiring, or the availability of electricity understandably never made
much business sense for them.</div>

<div> </div>

<div>In the digital age however, both production
and consumption ecosystems have evolved as networks that generate and share
data because of IoT connectivity. The fundamental nature of interdependencies
in production ecosystems remain the same; yet connectivity has increased its
value generating potential. However, modern digital connectivity has
significantly transformed the power of consumption ecosystems. </div>

<div> </div>

<div> A conventional
bulb equipped with sensors and IOT connectivity with a variety of other
objects, encounters a host of new interdependencies as it connects to an
expanding set of objects such as Amazon’s Echo, Google’s Nest, smart phones,
smart doorbells, and smart blinds, while being used or consumed. Such new
interdependencies not only expand the bulb’s consumption ecosystems beyond
sockets, wiring and electricity, but generate significant new value to both
consumers and producers that goes far beyond its conventional role in lighting.
In homes for instance, it can be part of security systems helping capture
motion sensing or aiding live camera feeds. In warehouses, it can analyze the
movement of inventory, improving storage and logistical efficiency. On city
streets, it can sense gun shots, alerting police and switching on camera feeds
for evidence in subsequent crime investigations. Such new domains for value
opportunities arise from the smart bulb’s expanding consumption ecosystem, as
more and more objects, assets, systems and people get digitally connected. </div>

<div> </div>

<div>Consumption ecosystems arise fundamentally
because of complementarities or the necessity to use products or services in
tandem. Toothbrushes and toothpaste, gas stations and automobiles, DVDs and DVD
players, or paper and printers are some long-standing examples. Each of these
products have little use on their own, and necessarily require the
complementary accompaniment. Consumers may buy such products separately, but
combine them during use or consumption. Manufacturers have historically
provided different kinds of options for consumers to make those combinations.
Some offer open standards (such as light bulbs and sockets), others proprietary
standards (such as razors and cartridges). Some manufacturers co-own or
co-brand the complements (such as toothbrushes and toothpaste), others do not
(such as bulbs and sockets). Given the cumbersomeness and tangible limitations
of combining physical objects beyond a manageable number, the scope of such
complementarities in the past was understandably small. </div>

<div> </div>

<div>But with the rise of software, the scope
and significance of such complementarities have significantly expanded because
of the ease with which consumers could connect different software products
during consumption. For instance, the software driving the operating system of
a smart phone enables consumers to easily add all kinds of software driven apps
during its use. Thousands of third party developers can also complement a smart
phone’s operating system software. Technologies such as APIs (Application
Program Interfaces) have further exponentially expanded the scope of different
software programs connecting and interacting with one another. It is such wide
scale possibility of connecting a growing range of complementary products, and
the options for countless third party entities to participate in providing such
complements, that have given rise to what we describe as consumption
ecosystems. </div>

<div> </div>

<div>Consumption ecosystems personify what is transformational
about business interdependencies in the digital age. Consider the following
three avenues for new value from consumption ecosystems:</div>

<div> </div>

<div><b><i>Push new frontiers for growth</i></b>: With sensors, IOT, software and APIs becoming an integral part of
a growing number of products and services, it is now possible to connect them
to an expanding set of complements. In doing so, it is also possible to
leverage the creativity of thousands of independent developers and value
providers. The software operating system Sync in Ford’s new connected cars for
instance is open to an estimated eighteen million developers, that can unlock a
formidable consumption ecosystem for auto manufacturers, and enable new revenue
generating services by connecting various complements to the car. For example,
Ford’s Mypass app can connect cars to gas stations for speedier service and
payment transactions. It may soon be possible to connect cars with open parking
spots equipped with sensors, enabling new services that help drivers
efficiently find parking. With strategic API policies, original and innovative ideas
for new complements can come from unanticipated sources, each one of them
potentially opening new revenue streams and pushing growth frontiers. </div>

<div> </div>

<div><b><i>Push new frontiers for customization</i>: </b>Traditional approaches for
customization relied on R&amp;D, product design and marketing. A light bulb
manufacturer for example could offer a set of shapes, colors or wattage options,
by configuring its supply chain in specific ways. Understandably these options
are finite, constrained by the rigidities within value chains and the need to
preserve efficiencies in scale. Customization through configuring consumption
ecosystems however can be less constrained because of the flexibility digital
connectivity offers to add various complements as options even after the
product is sold. A smart light bulb for instance could be customized to track
inventory within smart warehouses, to manage security within smart homes, or
any other creative use, depending on which complementary objects it connects
to, or which consumption ecosystem it chooses to harness.</div>

<div> </div>

<div><b><i>Insulate from digital disruption</i>:</b> It is likely for digitization to shift
value from production to consumption ecosystems, disrupting traditional players
by commoditizing their contributions. Light bulbs for instance may generate more
value in how they are connected to any specific consumption ecosystem as
opposed its production and sales. Nowhere is this more apparent than in the
automobile industry with the foreseeable onset of driverless cars. New business
models may soon persuade users to shift from owning to ordering cars on demand,
luring them onto platforms with a variety of personalized and digitally
connected services for their rides. For example, a user could have a driverless
car that predicts and arrives when it is needed; is aware of the user’s
itinerary for the ride; is able to offer stops at favorite coffee shops or
stores, and for the duration of the ride is streaming in personalized news,
videos or music. Value add thus may shift from managing established
interdependencies within traditional value chains designed to produce and sell
goods, to new services related to their consumption, orchestrated through
thousands of new interdependencies between digital platforms, app<span class="fs11lh1-5 ff1">
</span>developers, and digital service providers. In such a
scenario, Google, Apple, and Uber could commoditize traditional auto
manufacturers relegating them to mere components in transportation-as-service
platforms. Traditional manufacturers need to insulate themselves from such
disruptive forces by making forays into their own consumption ecosystems.</div>

<div> </div>

<div>Firms have always operated within
ecosystems. Digitization however has ushered in a new facet to our
interdependent business world in the form of consumption ecosystems.</div></div><div> &nbsp;</div><div> &nbsp;</div></div>]]></description>
			<pubDate>Sat, 07 Aug 2021 23:34:00 GMT</pubDate>
			<link>http://www.professormohan.com/blog/?building-data-powerhouses</link>
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