Long Tail Economics Applied to Information Systems Management
This essay examines how Chris Anderson's Long Tail theory — the idea that niche markets collectively rival the mainstream — can be applied to the management of information systems. Drawing on Anderson's argument that laws of supply and demand favor unique, low-volume offerings over mass-market approaches, the paper explores how information systems can be oriented toward quality over quantity. It argues that all systems require a balance between these two dimensions, that technology empowers consumers to seek niche content, and that the Long Tail represents a temporary market correction rather than a permanent economic shift. The essay concludes that information systems managers must account for consumer movement in and out of mainstream preferences over time.
- Introduction: Anderson's Long Tail Argument: Overview of Anderson's niche-market supply and demand theory
- Applying the Long Tail to Information Systems: Linking Long Tail economics to IS management practice
- Information Quality vs. Information Quantity: Why quality outweighs volume in information systems
- Consumer Behavior and the Statistical Long Tail: Technology empowering consumers to find niche offerings
- Economics as Waves: Human Needs and the Mainstream: Economic trends driven by absence and human desire
- Conclusion: Limitations of the Long Tail Model: Critique of Long Tail as a temporary market correction
✍️ How to write this paper — guide, tools & examples ▾
What makes this paper effective
- The paper consistently ties an economic theory — Anderson's Long Tail — back to a practical domain (information systems management), maintaining clear thematic focus throughout.
- It demonstrates critical engagement by challenging the theory's limitations rather than simply summarizing it, noting that mainstream and niche preferences are cyclical rather than static.
- The analogy about repeating "yes" 500 times is a creative, memorable device that concisely illustrates the diminishing returns of information overabundance.
Key academic technique demonstrated
The paper models applied theoretical analysis: it introduces a source concept, extends it to a new domain (IS management), and then critiques the original claim by identifying conditions under which it does not hold. This move — apply, then qualify — is a foundational structure in short analytical essays at the undergraduate level.
Structure breakdown
The essay opens with a summary of Anderson's argument and a clear statement of purpose. It then develops a series of thematic points — information quality, consumer empowerment through technology, and the psychological drivers of niche preference — before concluding with a critique of the Long Tail model's temporal limitations. Each paragraph advances a single idea, keeping the argument readable and focused despite the essay's brevity.
Introduction: Anderson's Long Tail Argument
Anderson (2004) argued that the laws of supply and demand can be viewed in a different manner — one that can positively affect an organization's ability to create and sustain a competitive advantage within a market. Using the entertainment market as an example, he suggested that opportunities exist in fulfilling specific and unique customer demands in smaller quantities, and that organizations should not simply dismiss these opportunities in favor of more mainstream approaches.
The purpose of this essay is to explain how the economics of abundance discussed in Anderson's article — commonly known as the Long Tail approach — may be applied in managing information systems. This essay will suggest that all systems are about finding a balance point between quantity and quality, and that in some cases, as in the Long Tail scenario, these two dimensions are not asymmetrical.
Applying the Long Tail to Information Systems
When organizations seek to cater to the fine entertainment tastes described in Anderson's work, they discover that many customers will readily spend money on unique and special items. It appears to be a growing trend to prefer things outside the mainstream — a pattern consistent with this author's research. While this is partly true, the trend itself may best be understood as a temporary market correction that reflects a natural balancing effort rather than a permanent structural shift.
Information Quality vs. Information Quantity
Information is useful based on its quality. Saying "yes" five hundred times in a row does little to reinforce the affirmative properties of the word and would soon become irritating if repeated to that extent. This illustrates the need to differentiate between necessary and non-necessary information. The central challenge of our times is that the overload of information has created a scenario in which too much information becomes non-economical. Quality, therefore, is not simply a desirable feature of an information system — it is a prerequisite for the system's economic value.
Conclusion: Limitations of the Long Tail Model
Information systems management needs to understand that quality is just as important as quantity, and that seeking less can sometimes yield great value. Anderson's article, while insightful, overlooks the larger trend of people moving in and out of the mainstream with some regularity. The article may have captured a meaningful trend at the time of its writing, but like all things — including information itself — the dynamics it describes will transform into something different in the near future. Managers of information systems would do well to treat the Long Tail as one useful lens among many, rather than a permanent prescription for strategy.
References
Anderson, C. (2007). The long tail: How endless choice is creating unlimited demand. Random House.
Create your account
Always verify citation format against your institution’s current style guide requirements.