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Information Systems
A Manager's Guide to Harnessing Technology

v9.1.1 John Gallaugher

1.1 Tech’s Tectonic Shift: Radically Changing Business Landscapes

Learning Objective

  1. Appreciate how, in recent years, technology has helped bring about radical changes across industries and throughout societies.

This book is written for a world that has changed radically in the most recent years of your lifetime. Consider just a few examples: Uber, the world’s largest “taxi service,” owns no vehicles for hire. Airbnb, the world’s largest accommodations provider, doesn’t own a single hotel or rental property. Facebook, the world’s most visited media destination, creates no content. And the world’s most valuable retailer, China’s Alibaba, owns no product inventory of its own. Change is clearly afoot, and it’s wearing silicon sneakers, carrying a smartphone, and is being blown forward by cloud-fueled, AI-smart hurricane tailwinds. While technology is fundamentally transforming business environments, managers seem painfully ill-equipped for the transition. A report in Forbes suggests 72 percent of firms are failing at digital transformation.

Here are some more examples of the speed of tech-fueled business change: At the end of the dot-com bubble, Google barely existed and well-known strategists dismissed Internet advertising models. By decade’s end, Google brought in more advertising revenue than any firm, online or off, and had risen to become the most profitable media company on the planet. Today, billions in advertising dollars flee old media and are pouring into digital efforts, and this shift is reshaping industries and redefining skills needed to reach today’s consumers. The firm’s ambitions have grown so large that Google has rechristened itself Alphabet (http://abc.xyz), a holding company with divisions focused on markets as diverse as driverless cars and life extension.

At roughly the same time Google was being hatched, Apple was widely considered a tech industry has-been, but within ten years and powered by a succession of handheld consumer electronics hits (iPod, iPhone, iPad), Apple had grown to be the most valuable firm in the United States. The firm has since posted several of the most profitable quarters of any firm in any industry, ever. The Apple Watch alone has sales greater than the entire Swiss watch industry. Apple also puts a big fat exclamation mark on the 21st century key to tech-business success—create platforms, not products. Apple’s integrated ecosystem has launched a constellation of apps, add-ons, and services that add value to Apple ownership. And Apple’s growing business of consumer services—Apple Music, Arcade, Apple TV+, Apple Fitness, News, and iCloud—now bring in so much coin that if it were a separate division, it’d be deep into the Fortune 100, bigger than Pfizer, Coke, Nike, Oracle, or Delta Airlines.

Today there are 3.8 billion smartphone users worldwide, and the smartphone and app store are the modern accelerant of business growth. It took telephones seventy-five years to get to 50 million users, but it took Angry Birds just thirty-five days to do the same. TikTok gained roughly 700 million adherents in its first four years of existence, a figure Christianity took nineteen centuries to achieve.

Today, Facebook’s user base touches an astonishing 3 billion people—a reach no media firm or government had ever remotely approached. Mobile is its linchpin. Facebook made no money on mobile when it first sold stock to the public, but today mobile represents over 90 percent of Facebook’s revenue. Firms are harnessing social media for new product ideas, for millions in sales, and to vet and build trust. But with promise comes peril. When mobile phones are cameras just a short hop from YouTube, Facebook, Instagram, and Twitter, every ethical lapse can be captured, every customer service flaw graffiti-tagged on the permanent record that is the Internet. The service and ethics bar for today’s manager has never been higher. Social media has also emerged as a catalyst for global change, with Facebook and Twitter playing key organizing roles in uprisings worldwide. While a status update alone won’t depose a dictator or expunge racism, technology can capture injustice, broadcast it to the world, disseminate ideas, and rally the far-reaching. Yet technology itself has no morality. We’ve seen leading social media firms struggle as their platforms are used to spread hate, pornography, terrorism both foreign and domestic, and fake news in ways that enrich organized crime and enable the influence of hostile foreign governments and domestic tyrants.

As we emerge from a global pandemic, tech has become even more deeply embedded into our lives. Our screen time has skyrocketed, boosting online ad revenue to make up over half of all ad spending for the first time ever, and pushing profits even higher at Google, Facebook, and Amazon; a triopoly that rakes in more than half of all digital ad revenue. Streaming services boomed, and e-commerce exploded, pushing Amazon to hire more workers in a shorter time than any corporate employer, ever. The year saw Amazon praised for providing much-needed, above minimum-wage jobs at a time of unprecedented layoffs, yet also criticized for workplace safety and brutal working conditions. Online grocery delivery, a segment that had seen slow consumer adoption in the U.S. prior to COVID-19, saw demand double in just a few months. Tech was also front-and-center responsible for acceleration of vaccine development, allowing a handful of treatments to hit the market in record-shattering time, and almost certainly saving multimillions of lives. Yet while technology and strategy combine for some of the business world's strongest winner-take-all, winner-take-most advantages, major tech firms are also under investigation for their influence and competitive practices. Apple, Amazon, Facebook, and Google are under investigation in the U.S. and Europe. China is investigating Alibaba, and collectively the tech giants face investigations in Australia, Brazil, Canada, Japan, South Korea, and the U.K. The influence of tech firms is sending ripples throughout society, causing many to rethink our current notion of capitalism. Tech’s role in fueling conspiracy theories, hate, misinformation, and as a tool for sowing political discord and division has led many to wonder if we can put the most evil outcomes of the tech genie back in the bottle without limiting the economic benefits that digital advancements have brought the world. Managers and employees face a deep set of ethical challenges associated with firm size, competition, data access and use, privacy, security, partnership and alliances, and much more. Want to lead today and in the future? Tech will be deeply embedded in nearly every decision you make, and will likely empower your decision-making through analytics and artificial intelligence (AI) insights, as well.

How to Deal with Big Tech

Are tech giants too big and too powerful? The Economist dives into the debate and offers suggestions on addressing power concerns. What do you think?

Moore’s Law and other factors that make technology faster and cheaper have thrust computing and telecommunications into the hands of billions in ways that both empower the poor and poison the planet.

China started the century as a nation largely unplugged and offline. But today, China has more Internet users than any other country, and China has emerged as a clear leader in smartphone payments. The most downloaded app worldwide, TikTok, is from a Chinese firm. Chinese mobile payment volume is over 250 times greater than the payment volume of their counterparts in the United States. China has spectacularly launched several publicly traded Internet firms that now have market caps and profits to match their U.S. rivals, including Baidu, Tencent, and Alibaba—the largest  of all time. 

Artificial Intelligence Overview from Fortune Brainstorm Films

Leading experts discuss AI, with demonstrations shown from farming to beauty.

The world’s second most populous nation, India, has ridden technology to become a global information technology (IT) powerhouse. India now hosts a nearly $200 billion IT services industry, and Apple has even begun manufacturing iPhones in India. Technology has enabled the once almost exclusively agrarian nation to become a go-to destination for research and development (R&D) and engineering across sectors as far-flung as aircraft engine design, medical devices, telecom equipment, and microprocessors. India’s TCS (Tata Consulting Services) is the world’s number two technology solutions firm, second in size only to IBM. India has three-quarters of a billion Internet users. And India’s consumer e-commerce sector is growing so quickly that Walmart recently won a high-stakes bidding war against Amazon, paying $16 billion for a 77 percent stake in India’s Flipkart, a leader in South Asian online shopping and payments. India has also begun to match China in consumer Internet influence launching multibillion dollar startups and boasting both the lowest data rates and highest usage on earth.

Think the United States has world-leading Internet access? Not so much. The United States ranked twentieth in mobile download performance, behind Croatia and Bulgaria, among other nations. The U.S. did better in fixed broadband (landline connections like cable), but the nations ahead of the U.S. included Thailand, Romania, and Hungary.

Even in the far reaches of nations in sub-Saharan Africa, fast/cheap tech is becoming an economic lubricant. Seventy percent of the region’s population lives within range of mobile phone coverage, a percentage of the population greater than those who have access to reliable and safe water or electricity. Forty percent of sub-Saharan Africans already have mobile phones. Tech giants including Google, IBM, and Microsoft now run R&D centers and significant operations in several African nations, tapping into world-class tech talent that’s finally gaining infrastructure for growth. Many nations in sub-Saharan Africa now rank among the world’s fastest-growing economies. And entrepreneurs with local expertise are increasingly serving local needs and building impactful businesses. Ghanaian firm Esoko leverages mobile phones to empower the agrarian poor with farming info and commodity pricing, raising incomes and lowering the chance of exploitation by unscrupulous middlemen. The firm Sproxil uses text message verification to save lives by fighting drug counterfeiting in developing nations around the world. Kenya’s M-Pesa and Somaliland’s Zaad use text messages to replace cash, bringing the safety and speed of electronic payment and funds transfer to the unbanked and leveraging mobile money at rates that far outstrip any nation in the West. Adoption rates are astonishing: 84 percent of adults in Tanzania use mobile phones for money transactions. Mobile money can cut corruption, too, an effort with broad implications as this tech spreads worldwide. When Afghan police officers adopted M-Pesa and began receiving pay using mobile money, many reportedly thought they had received a big raise because the officers handing out their pay were no longer able to cheat workers by skimming cash for themselves. 

Fast/cheap computing is also helping create the multibillion dollar , putting smarts in all sorts of products: lamps, watches, thermostats, and door locks. Disney has embedded smarts in a wristband it uses to replace ticketing at Disney World. GE thinks sensors and computing will save the planet trillions of dollars through a hyperefficient, data-driven, collectively orchestrated set of devices, and has embedded smarts in everything from home air conditioners to high-end aircraft parts. Think the smartphone market is big? There are already more so-called IoT–connected devices than the entire world population of humans, and that number is only growing. 

Cheap processors and software smarts are also powering the drone revolution with far-reaching impact. Today’s farmers use drones to regularly survey crops at closer distances and with greater regularity than satellite or plane flight could ever match. A combination of conventional and infrared imagery can show irrigation variation, crop success, plant damage, fungal and insect infestations, and offer other insights to improve crop yields, stave off crises, improve farmer profits, and cut consumer costs. Today’s agricultural drones can be purchased for less than $1,000, as compared with agricultural plane flights that cost more than $1,000 an hour. And while Amazon and rivals race to replace UPS with drone-to-doorstep delivery, Silicon Valley’s Zipline is leading the charge for the humanitarian community, delivering medical supplies and blood to remote regions of the world (rural Rwanda is up first), offering life-saving packages at pizza-delivery speed.

New Zipline Drones Can Deliver Medicine Faster

Tech for good: The startup Zipline is one of many organizations working to leverage cheap, accurate drones to quickly and cost-effectively deliver medical supplies to remote, underserved communities.

The way we conceive of software and the software industry is also changing radically. Apple, Facebook, Google, IBM, Netflix, and Oracle are among the firms that collectively pay thousands of programmers to write code that is then given away for free. Today, open source software powers most of the websites that you visit. And the rise of open source has rewritten the revenue models for the computing industry and lowered computing costs for startups to blue chips worldwide.

Cloud computing and software as a service are turning sophisticated, high-powered computing into a utility available to even the smallest businesses and nonprofits. Amazon Web Services, by far the world’s biggest provider of cloud computing services, has been adding about as much server capacity each day as its entire e-commerce parent required ten years earlier.

Figure 1.1 3D Printer on the International Space Station

An astronaut shows a tool produced on-demand using a 3D printer on the International Space Station.

Middle-aged man on the International Space Station holding a white tool.

Three-dimensional printers, which allow designs for fabrication to be shared as easily as an e-mail, are poised to reshape manufacturing and transportation. Crafts marketplace Etsy is full of artist-created and custom-printed products, from jewelry to cookie cutters, and this technology has also been used to print tools on-demand for the International Space Station. 

Many organizations today collect and seek insights from massive datasets, which are often referred to as “Big Data.” Data analytics, business intelligence, and so-called machine learning are driving discovery and innovation, redefining modern marketing, and creating a shifting knife-edge of privacy concerns that can shred corporate reputations if mishandled.

And the pervasiveness of computing has created a set of security and espionage threats unimaginable to the prior generation.

As recent years have shown, tech creates both treasure and tumult. While tech creates new giants that dominate the top of lists of the world’s most valuable and most profitable firms, also know that half of the Fortune 500 companies on the list in 2000 have fallen off since then as a result of mergers, acquisitions, and bankruptcies. These disruptions aren’t going away and will almost certainly accelerate, impacting organizations, careers, and job functions throughout your lifetime. It’s time to place tech at the center of the managerial playbook.

Key Takeaways

  1. In the previous decade, tech firms have created profound shifts in the way firms advertise and individuals and organizations communicate.

  2. New technologies have fueled globalization, redefined our concepts of software and computing, crushed costs, fueled data-driven decision-making, and raised privacy and security concerns.

Questions and Exercises

  1. Search online and compare profits from Google, Apple, and other leading tech firms with those of major media firms and other nontech industry leaders. How have profits at firms such as Google and Apple changed over the past few years? What do you think is behind such trends? How do these compare with changes in the nontech firms that you chose?

  2. How do recent changes in computing impact consumers? Are these changes good or bad? Explain. How do they impact businesses?

  3. Serial entrepreneur and venture capitalist Marc Andreessen has written that “software is eating the world,” suggesting that software and computing are transforming entire industries and creating disruptive new upstarts. Come to class with examples of firms and industries that have been completely transformed through the use of software.

  4. Venture capitalist Ben Evans, who works with Andreessen, has said “mobile is eating the world.” Give examples of how mobile has built billion-dollar industries that wouldn’t exist without handheld computing power. How should today’s managers be thinking about mobile as an opportunity and threat? 

  5. How is social media impacting firms, individuals, and society?

  6. What kinds of skills do today’s managers need that weren’t required a decade ago?

  7. Investigate the role of technology in emerging markets. Come to class with examples to share on how technology is helping fuel economic growth and provide economic opportunity and public good to consumers outside of North America, Europe, and Asia’s wealthier nations.

  8. Work with your instructor to identify and implement ways in which your class can leverage social media. For example, you might create a Facebook group where you can share ideas with your classmates, join Twitter and create a hashtag for your class, leverage Google Hangouts, create a course wiki, or start a Slack channel. (See Chapter 10 “Social Media, Peer Production, and Leveraging the Crowd” for more on these and other services.)

  9. Watch the video below, produced by the World Economic Forum. Is artificial intelligence (AI) really intelligence? What makes AI “smarter”? Which nations lead in AI, and why? What advantages does each have? What sort of balance can be struck between fearing AI, regulating AI, and harnessing AI? Give examples of how AI can be used in business.

AI on Track to Achieving Super Intelligence? 

This video from the World Economic Forum highlights the global AI race, what powers AI, concerns and benefits of AI, and short examples of how AI is being used today.

0.74 to 3.395- [Robotic Girl] I'm
23 and I live in Kyoto.
3.395 to 6.145(calm pop music)
8.11 to 8.943- [Stephen Hawking] But I think the
8.943 to 12.34development of full
artificial intelligence
12.34 to 14.837could spell the end of the human race.
14.837 to 18.282Once humans develop
artificial intelligence,
18.282 to 23.282it will take off on it's own.
29.98 to 32.3- It will not be man or machine.
32.3 to 36.103Our purpose is to augment
and really be in service.
80.798 to 84.15- I'm Kai-Fu Lee, I run
Sinovation Ventures.
84.15 to 87.35It's a high tech venture
capital firm in China.
87.35 to 90.51- My name is Fei-Fei Li,
I'm a professor and director
90.51 to 93.63of the Stanford Artificial
Intelligence Lab.
93.63 to 98.23I'm also currently at Google
on my sabbatical from Stanford.
98.23 to 101.89I'm Jennifer Zhu Scott,
co-founder and Principal
101.89 to 104.92of Radian Partner and
Radian Blockchain Venture.
104.92 to 109.5- A lot of people ask about AI
and whether it's intelligent.
109.5 to 113.02I think today's AI, based on
the current state of the arts,
113.02 to 116.53Artificial Intelligence is
really more of an optimizer.
116.53 to 119.137It's not intelligent
in the same sense that
119.137 to 122.54we think of humans as intelligent.
122.54 to 127.05- We acquire knowledge,
we abstract, we create.
127.05 to 130.46There's emotion involved, and
there is judgment involved,
130.46 to 132.563and there is a creativity involved.
132.563 to 136.61- Prosto may aknowledge common
sense and ability to argue,
136.61 to 138.93the ability to understand humor,
138.93 to 142.14and also a self awareness and compassion.
142.14 to 144.14- Today's machine intelligence is
144.14 to 147.35far from that level of complexity.
147.35 to 151.85- It's probably not most
useful if we generalize AI.
151.85 to 155.46AI is an umbrella term
from machine learning
155.46 to 157.312to deep learning, to NLP, which is
157.312 to 161.32Natural Language Processing,
to reinforcement learning.
161.32 to 163.44There are many different
technologies coming to
163.44 to 166.67this umbrella and right
now we're at the stage
166.67 to 169.45where AI is very good at doing
169.45 to 172.45one single task, will
concentrate at a task,
172.45 to 174.693and repeated a task really really well.
246.604 to 248.03- I think, you know,
it's quite interesting
248.03 to 252.02to see the duopoly between U.S. and China.
252.02 to 253.96- China is very interesting.
253.96 to 257.63It's my home country, and I see
257.63 to 261.92with lots of energy where
things are in China.
261.92 to 264.76- If we look at the top 100 people in AI,
264.76 to 268.01U.S. probably has 80, UK and Canada
268.01 to 271.17probably have 15, China might have two.
271.17 to 274.27On the other hand, China has
four things going for it.
274.27 to 277.19Number one is that China has a huge,
277.19 to 281.604very strong engineering
education and a mass of people
281.604 to 284.31with fantastic engineering training
284.31 to 287.52who are ready, able, and
willing to jump into AI.
287.52 to 290.62- It's economy is very
entrepreneurial right now,
290.62 to 293.94so there's embracement of
293.94 to 298.04new technology and new
ideas and that is a very
298.04 to 301.12fertile playground for new technology.
301.12 to 304.1- The third reason is
the vast amount of data.
304.1 to 307.35Data is the fuel for AI and China
307.35 to 309.61has more data than anybody else.
309.61 to 312.06Three times more data
because of three times
312.06 to 314.82more mobile users compared
to the United States.
314.82 to 316.72It's actually 10 times more data
316.72 to 318.77in terms of ordering take out,
318.77 to 322.5150 times more data in
terms of mobile payments.
322.51 to 327.24- The fourth would be that
there's a lot of support,
327.24 to 329.58both top down and bottom up in the society
329.58 to 332.95for AI technology and education.
332.95 to 335.29- The government will
put billions of dollars,
335.29 to 338.15not at the country level,
but the per city level
338.15 to 341.747to help subsidize AI
companies land, take off,
341.747 to 344.51and also bring back overseas talent.
344.51 to 348.11- I think the two countries
no doubt have become
348.11 to 351.72AI superpower, but they are
two very different beasts.
351.72 to 355.528In U.S. we have companies
like Boston Dynamics,
355.528 to 358.77Deepmind now is effectively
an American company,
358.77 to 362.74and you have the companies like
Hanson Robotics, et cetera.
362.74 to 366.44What they're producing is very inspiring,
366.44 to 369.16it's very futuristic, some might argue
369.16 to 372.35it's slightly scary, especially
with Boston Dynamics,
372.35 to 375.75you know, when you see the
robots can do all this.
375.75 to 378.02At the same time, most of the people,
378.02 to 381.5including myself, we haven't really seen
381.5 to 383.93their products being used by everyone.
383.93 to 387.29And the different in
China is, the engineers
387.29 to 390.88and developers in China
are very practical.
390.88 to 394.23If what they're developing
cannot be commercialized
394.23 to 397.77in the next year or two,
they would not develop it.
397.77 to 402And then in the U.S., you
see very advanced research
402 to 405.07being very well funded,
that's probably gonna be
405.07 to 410.07playing a dominant role in
the next 10, 15, 30 years.
433.8 to 437.25- Your voice carries a lot
of information about you,
437.25 to 439.72and enormous amount of information.
439.72 to 442.39Everything about your physical stature,
442.39 to 444.89your facial structure, your ethnicity,
444.89 to 446.45what's going on in your body,
446.45 to 449.8your state of health,
state of mental heath,
449.8 to 452.88physical health, your income levels.
452.88 to 456.49It captures everything that
influences your body and mind
456.49 to 458.87and is evident in your surroundings.
458.87 to 462.57This information is embedded
at very very fine levels,
462.57 to 464.657micro levels in the speed signal.
477.54 to 480.34- I was curious to know
480.34 to 483.75what made Hitler so powerful.
483.75 to 485.84Was it because he said the right things,
485.84 to 489.26he was at the right
place at the right time?
489.26 to 491.26I think the speculation is that it
491.26 to 493.555might have been something in his voice.
493.555 to 496.47And so I picked up Hilter's
voice, and the first thing
496.47 to 500.37I discovered that were
signs of Parkinson's.
500.37 to 503.94He would hold his fists
clenched like this,
503.94 to 507.44that was to hide a small
tremor that he had developed.
507.44 to 510.3And from that kind of evidence,
people have speculated
510.3 to 512.053that he might have had Parkinson's.
514.767 to 517.92- I think 100%, from his voice.
517.92 to 519.993I've seen it in his voice, it's clear.
549.081 to 553.95- AI is such a young field,
it's only about 60 years old
553.95 to 556.65from ground zero to where we are today.
556.65 to 559.69From that point of view,
we have come a long way.
559.69 to 561.19- I think it's better to think about
561.19 to 565.69Artificial Intelligence as
a single domain optimizer
565.69 to 568.93and that in itself has huge implications
568.93 to 573.48but it is not human all
encompassing intelligence,
573.48 to 577.03which we call Artificial
General Intelligence.
577.03 to 580.45There's various disagreement
and debate on whether
580.45 to 582.52Artificial General Intelligence is
582.52 to 584.75ever possible and how long it will take.
584.75 to 587.877I'm personally a pessimist on achieving
587.877 to 589.77that level of intelligence.
589.77 to 593.61But I am an optimist on
even today's Single Domain
593.61 to 597.9Narrow Intelligence creating
huge societal impact.
597.9 to 600.907- Artificial Intelligence
is about the learning
600.907 to 605.08and making the right decisions
using what you've learned.
605.08 to 608.75We're at a point where we
have the understanding now
608.75 to 613.189to do this and therefore
we are in the new AI era.
613.189 to 616.022(quiet pop music)
  1. Watch this video on how 3D printing is spurring advances in manufacturing. How are technologies like this poised to influence the economy, society, and the jobs of the future? Work with classmates to brainstorm ways in which 3D printing can benefit society.

3D Printing Spurring Revolutionary Advances in Manufacturing and Design

This video from “PBS News Hour” discusses how 3D printing is spurring revolutionary advances in manufacturing and design. Watch massive metal printers build rocket engines and fuel tanks.

  1. Research online to investigate how tech firms fared during the pandemic. Which ones benefited? Which struggled and why? How has tech influenced our lives during the pandemic? Which trends are likely to reshape how consumers and businesses use technologies? Consider how this differs from what may have happened if we did not have a global health crisis.