Chapter title: Disruptive Technologies
This page turns the Chapter 4 slides and textbook ideas into a cleaner study guide with precise vocabulary, clearer explanations, and a 5-question multiple-choice quiz. The main themes are disruptive innovation, enabling technologies, analog-to-digital shifts, why big firms fail, how firms can improve their radar for disruption, and how cases like Kodak, Intel, Intuit, and Netflix show the difficulty of navigating technological change.
Chapter 4 explains why dominant firms often lose when new technologies emerge. The big idea is not just that “new tech changes things,” but that disruptive innovations often start out worse on dimensions existing customers care about, then improve until they become good enough to invade established markets.
| Term | Precise definition | Why it matters in MIS | Citation |
|---|---|---|---|
| Disruptive innovation | Disruptive innovation is a new technology or business model that enters with performance attributes mainstream customers do not initially value, but improves over time until it can invade established markets. | This helps explain why strong incumbent firms can be displaced by newcomers that initially look weaker. | Course slides, pp. 4, 6; textbook Ch. 4 |
| Disruptive technology | A disruptive technology is a technology associated with disruptive innovation that creates market shocks and can eventually redefine competition. | It often appears in tech because fast/cheap improvements can quickly change what products are possible. | Course slides, pp. 4, 6 |
| Sustaining innovation | Sustaining innovation improves existing products along dimensions current customers already value. | It contrasts with disruptive innovation because sustaining innovation usually serves existing markets instead of redefining them. | Course slides, p. 8 |
| Enabling technology | An enabling technology is a technology that makes a product or service affordable, practical, or accessible for a much wider population. | Many disruptive innovations depend on enabling technologies that lower costs or remove barriers to use. | Course slides, p. 10 |
| Analog-to-digital disruption | Analog-to-digital disruption is the shift from products based on physical, chemical, or analog systems to digital products based on bits, software, and computing. | This explains cases like film to digital photography, CDs to digital music, and DVDs to streaming. | Course slides, p. 7; textbook Ch. 4 |
| Market shock | A market shock is a major competitive disruption that changes industry structure, customer expectations, or the basis of competition. | Disruptive technologies often create shocks that incumbents are not prepared for. | Course slides, p. 6 |
| Value network | A value network is the set of customers, suppliers, distributors, and partners whose interests and incentives shape what products succeed. | Disruptive innovations often begin in a different value network than the incumbent’s main business. | Course slides, p. 10; textbook Ch. 4 |
| Technology price elasticity | Technology price elasticity refers to the idea that falling cost and improving performance can unlock new demand and new markets. | This is one reason fast/cheap technology can become a giant-killer. | Course slides, p. 4; textbook Ch. 4 |
| Incumbent | An incumbent is an established firm currently dominating or leading an existing market. | Disruption usually matters most because it threatens incumbents that appear safe and successful. | Textbook Ch. 4 |
| Cash cow | A cash cow is an established product or business that generates strong profits and often receives the firm’s best resources and attention. | Cash cows can make firms slow to invest in lower-margin disruptive opportunities. | Textbook Ch. 4 |
| Customer blindness | Customer blindness is the tendency of firms to focus so heavily on what current customers want that they ignore emerging markets and nontraditional users. | This is a major reason big firms miss disruptive innovations. | Course slides, p. 16; textbook Ch. 4 |
| Bottom-line blindness | Bottom-line blindness is the tendency to reject new opportunities because they initially offer lower margins, smaller revenues, or weaker short-term financials. | It helps explain why firms rationally avoid opportunities that later become huge. | Course slides, pp. 16, 20 |
| Portfolio of options | A portfolio of options is a strategy where a firm makes small investments in startups, experimental units, or technologies, preserving the right but not the obligation to invest more later. | This gives firms flexibility when the future is uncertain. | Textbook Ch. 4 |
| Autonomous innovation unit | An autonomous innovation unit is a protected group kept separate from the core business so it can experiment without being drained by the parent firm’s priorities. | Separation can help disruptive efforts survive long enough to prove themselves. | Textbook Ch. 4 |
| Creosote bush effect | The creosote bush effect is the idea that established businesses can starve nearby new efforts of resources, just as a creosote bush suppresses nearby plants. | It explains why new ideas inside large firms often die unless they are protected. | Textbook Ch. 4 |
| Environmental scanning | Environmental scanning is the ongoing search for signals about new technologies, shifts in behavior, changing regulation, and emerging competitors. | It helps firms improve their radar for spotting disruption early. | Textbook Ch. 4; course slides, p. 20 |
| Experimental edge | The experimental edge is the frontier where new technologies are being tested by researchers, venture capitalists, startups, and technical pioneers. | Managers need conversations at this edge to avoid flying blind. | Course slides, p. 20 |
| Cannibalization | Cannibalization occurs when a new product or business takes sales away from the firm’s existing offerings. | Firms often resist disruptive innovations because winning the future may damage today’s profits. | Textbook Ch. 4 |
| Atoms to bits | Atoms to bits refers to the shift from physical products and distribution to digital goods and digital delivery. | This is central to cases like Netflix, music streaming, digital books, and online media. | Textbook Ch. 4 |
| Long tail | The long tail is the strategy of making money by offering a very large selection of niche items, not just the most popular hits. | Netflix used this logic in DVD-by-mail because physical distribution rules let it offer huge variety. | Course slides, p. 13; textbook Ch. 4 |
| First Sale Doctrine | The First Sale Doctrine is a legal principle that allows someone who lawfully buys a physical copy of a copyrighted work to resell, lend, or rent that copy. | This helped Netflix in DVDs, but not in streaming, where licensing rules are different. | Textbook Ch. 4 |
| Fixed costs | Fixed costs are costs that do not change with each additional unit produced. | For media creation, costs of making content are often largely fixed. | Textbook Ch. 4 |
| Marginal costs | Marginal costs are the costs associated with producing one more unit. | Digital goods often have near-zero marginal cost for owners, but not for licensees like Netflix. | Textbook Ch. 4 |
| Windowing | Windowing is the practice of making content available to different distribution channels at different times and under different revenue models. | Windowing limits what streamers can offer and when they can offer it. | Textbook Ch. 4 |
| Transfer pricing | Transfer pricing is the price one division of a company pays another division of the same company when they transact with each other. | It matters in streaming because even internal content libraries still have accounting and legal value attached to them. | Textbook Ch. 4 |
1) Disruptive innovation does not begin by beating incumbents head-to-head. The key idea from Christensen’s framework is that disruptive technologies often begin with performance that existing customers do not want. Early digital cameras, MP3 players, streaming, and mobile phones were not clearly better than the incumbent options. They were just different. That is exactly why incumbents often ignore them.
2) Big firms fail for reasons that are often rational. The slides and textbook make a subtle point: dominant firms do not usually miss disruption because they are stupid. They miss it because they listen to their best customers, defend profitable products, and prioritize strong margins. Those behaviors sound responsible, but they can blind firms to technologies that look unattractive at first and only later become powerful enough to invade the mainstream market. :contentReference[oaicite:1]{index=1}
3) Enabling technologies often sit underneath disruptive innovation. A disruptive product becomes dangerous when some enabling technology makes it cheaper, easier, or more practical for a broader population. The slides highlight this directly: successful disruptive technologies are often enabling technologies because they make products more affordable and accessible. GPUs enabling modern AI is one class example. :contentReference[oaicite:2]{index=2}
4) Kodak is the classic warning story. Kodak was dominant in film, brand, distribution, and customer familiarity, yet it still collapsed when photography moved from chemistry to bits. The lesson is that closeness to the current customer and excellence in the current business model do not guarantee survival when the basis of competition changes.
5) Netflix is a rare counterexample. Netflix is unusual because it saw streaming coming and successfully transitioned away from its old model. But even Netflix’s story shows how hard disruption is. The DVD-by-mail business and the streaming business had different economics, content rules, infrastructure needs, and competitors. Success required rebuilding the business, not just tweaking the old one. The slides frame Netflix as a firm that correctly guessed streaming was the future and executed early. :contentReference[oaicite:3]{index=3}
6) Intel shows disruption can happen from unexpected directions. Intel dominated desktop, laptop, and server processors, yet low-power ARM chips from mobile and graphics-centered Nvidia chips from gaming and AI moved upward and invaded more lucrative markets. This is exactly the disruptive pattern: what looks weak or niche early can later become good enough to attack the mainstream.
7) Firms need radar, not certainty. Chapter 4 does not promise perfect predictions. Instead, it says firms should improve conversations with researchers, venture capitalists, managers, engineers, and people near the frontier of change. The goal is not to know the future perfectly, but to avoid being blindsided. The slides literally call this “Don’t Fly Blind: Improve Your Radar.” :contentReference[oaicite:4]{index=4}
8) Spotting disruption is easier than managing it. Even if a firm recognizes a possible disruption, acting on it is hard because the new effort may cannibalize older products, reduce margins, upset shareholders, and demand separate teams or acquisitions. That is why protected units, option-style investing, and acquisitions like Intuit’s purchase of Mint can matter.
| Type | What it does | Typical example |
|---|---|---|
| Sustaining innovation | Improves an existing product along dimensions current customers already value. | Newer smartphone models with better cameras, battery, or speed |
| Disruptive innovation | Starts off weaker on mainstream dimensions, but improves until it is good enough to invade established markets. | Digital cameras replacing film; streaming replacing DVDs |
| Reason | Why it happens | What it causes |
|---|---|---|
| They listen to current customers | Current customers often do not want the early disruptive product. | The firm ignores emerging demand. |
| They protect margins | Disruptive products often look smaller and less profitable at first. | The firm underinvests in the future. |
| They assign talent to cash cows | Best engineers are usually pulled toward existing winners. | Experimental products remain weak. |
| They move too slowly | Startups grow expertise, scale, and brand while incumbents hesitate. | The incumbent ends up playing catch-up. |
| They fail to protect new efforts | Core businesses drain resources from disruptive experiments. | Internal innovation dies before it matures. |
A dominant camera company ignores early digital cameras because image quality is poor, battery life is weak, and its existing customers still prefer film. Years later, digital cameras become good enough for most people and destroy the film market. Which concept BEST explains this pattern?
A large software firm refuses to invest in a new low-margin cloud product because its current packaged software products are still highly profitable. What is the BEST explanation for this decision?
A manager says, “This new technology will never matter because our best customers are not asking for it.” Which Chapter 4 idea shows why this reasoning may be flawed?
A company creates a separate experimental unit in another location so its new technology team will not be drained by the parent firm’s older business. What problem is this MOST directly trying to solve?
A firm regularly talks with researchers, venture capitalists, engineers, and employees near emerging technologies instead of relying only on current customer surveys. What is the firm MOST directly trying to improve?