1.2. The “Organizing System” Concept

We propose to unify many perspectives about organizing and information with the concept of an Organizing System, an intentionally arranged collection of resources and the interactions they support. This definition brings together several essential ideas that we will briefly introduce in this chapter and then develop in detail in subsequent chapters.

Figure 1.1 depicts a conceptual model of an Organizing System that shows intentionally arranged resources, interactions (distinguished by different types of arrows), and the human and computational agents interacting with the resources in different contexts.

Figure 1.1. An Organizing System.
A conceptual representation of an Organizing System. The left side, labeled “Arranged Collection of Resources,” presents organized groups of round, square and circular shapes within a circle. The right side, labeled “Supported Interactions,” presents a group of icons representing, for example, a computer terminal, a human agent, a mobile phone, and so on. There is a grouping of four arrows between the two sides; two pointed left and two pointed right.

An Organizing System is a collection of resources arranged in ways that enable people or computational agents to interact with them.

An Organizing System is an abstract characterization of how some collection of resources is described and arranged to enable human or computational agents to interact with the resources. The Organizing System is an architectural and conceptual view that is distinct from the physical arrangement of resources that might embody it, and also distinct from the person, enterprise, or institution that implements and operates it. These distinctions are sometimes hard to maintain in ordinary language; for example, we might describe some set of resource descriptions, organizing principles, and supported interactions as a “library” Organizing System. However, we also need at times to refer to a “library” as the institution in which this Organizing System operates, and of course the idea of a “library” as a physical facility is deeply engrained in language and culture.

Our concept of the Organizing System was in part inspired by and generalizes to physical and web-based resource domains the concepts proposed in 2000 for bibliographic domains by Elaine Svenonius, in The Intellectual Foundation of Information Organization. She recognized that the traditional information organization activities of bibliographic description and cataloging were complemented, and partly compensated for, by automated text processing and indexing that were usually treated as part of a separate discipline of information retrieval. Svenonius proposed that decisions about organizing information and decisions about retrieving information were inherently linked by a tradeoff principle and thus needed to be viewed as an interconnected system: “The effectiveness of a system for accessing information is a direct function of the intelligence put into organizing it” (p.ix). We celebrate and build upon her insights by beginning each of the sub-parts of §1.3 with a quote from her book.4[LIS]

A systems view of information organization and information retrieval captures and provides structure for the inherent tradeoffs obscured by the silos of traditional disciplinary and category perspectives: the more effort put into organizing information “on the way in” when it is created or added to a collection, the more effectively it can be retrieved, and the more effort put into retrieving information “on the way out,” the less it needs to be organized first. A systems view no longer contrasts information organization as a human activity and information retrieval as a machine activity, or information organization as a topic for library and information science and information retrieval as one for computer science. Instead, we readily see that computers now assist people in organizing and that people contribute much of the information used by computers to enable retrieval.

Finally, a systems view can be applied to Organizing Systems with any kind of resource, enabling more nuanced discussion of how economic, social, and cognitive costs and benefits of organizing are allocated among different stakeholders. An Organizing System can implicitly or explicitly create winners or losers, treat some interactions as preferred while deprecating others, or otherwise impose or overlay a set of values on the stakeholders of the system. For example, many organizing systems arrange people in groups or queues to make interactions more efficient, but when an airline gives boarding priority to customers who paid more for their tickets it might not seem fair to you if are in the last boarding group. Airlines also give priority boarding to “uniformed military personnel,” a policy that reflects values rooted in patriotism.

1.2.1. The Concept of “Resource”

Resource has an ordinary sense of anything of value that can support goal-oriented activity. This definition means that a resource can be a physical thing, a non-physical thing, information about physical things, information about non-physical things, or anything you want to organize. Other words that aim for this broad scope are entity, object, item, and instance. Document is often used for an information resource in either digital or physical format; artifact refers to resources created by people, and asset for resources with economic value.

Resource has specialized meaning in Internet architecture. It is conventional to describe web pages, images, videos, and so on as resources, and the protocol for accessing them, Hypertext Transfer Protocol (HTTP), uses the Uniform Resource Identifier (URI).5[Web]

[5][Web] The URI identifies a resource as an abstract entity that can have “multiple representations,” which are the “things” that are actually exposed through applications or user interfaces. The HTTP protocol can transfer the representation that best satisfies the content properties specified by a web client, most often a browser. This means that interactions with web resources are always with their representations rather than directly with the resource per se. The representation of the resource might seem to be implied by the URI (as when it ends in .htm or .html to suggest text in Hypertext Markup Language (HTML) format), but the URI is not required to indicate anything about the “representation.” A web resource can be a static web page, but it can also be dynamic content generated at the time of access by a program or service associated with the URI. Some resources like geolocations have “no representations at all;” the resource is simply some point or space and the interaction is “show me how to get there.” The browser and web server can engage in “content negotiation” to determine which “representation” to retrieve, and this is particularly important when that format further requires an external application or plug-in in order for it to be rendered properly, as it does when the server returns a Power Point file or an other file format that is not built into the browser.

Internet architecture’s definition of resource as a conceptual entity that is never directly interacted with is difficult for most people to apply when those resources are physical or tangible objects, because then it surely seems like we are interacting with something real. So we will most often talk about interactions with resources, and will mention “resource representations” only when it is necessary to align precisely with the narrower Internet architecture sense.

Treating as a primary resource anything that can be identified is an important generalization of the concept because it enables web-based services, data feeds, objects with RFID tags, sensors or other smart devices, or computational agents to be part of Organizing Systems.

Instead of emphasizing the differences between tangible and intangible resources, we consider it essential to determine whether the tangible resource has information contentwhether it needs to be treated as being “about” or representing some other resource rather than being treated as a thing in itself. Whether a book is printed or digital, we focus on its information content, what it is about; its tangible properties become secondary. In contrast, the hangars in our closet and the measuring cups in our kitchen are not about anything more than their obvious utilitarian features, which makes their tangible properties most important. (Of course, there is no sharp boundary here; you can buy “fashion hangers” that make a style statement, and the old measuring cup could be a family memento because it belonged to Grandma).

Many of the resources in Organizing Systems are description resources or surrogate resources that describe the primary resources; library catalog entries or the list of results in web search engines are familiar examples. In museums, information about the production, discovery, or history of ownership of a resource can be more important than the resource; a few shards of pottery are of little value without these associated information resources. Similarly, business or scientific data often cannot be understood or analyzed without additional information about the manner in which they were collected.

Resources that describe, or are associated with other resources are sometimes called metadata. However, when we look more broadly at Organizing Systems, it is often difficult to distinguish between the resource being described and any description of it or associated with it. One challenge is that when descriptions are embedded in resources, as metadata often isin the title page of a book, the masthead of a newspaper, or the source of web pagesdeciding which resources are primary is often arbitrary. A second challenge is that what serves as metadata for one person or process can function as a primary resource or data for another one. Rather than being an inherent distinction, the difference between primary and associated resources is often just a decision about which resource we are focusing on in some situation. An animal specimen in a natural history museum might be a primary resource for museum visitors and scientists interested in anatomy, but information about where the specimen was collected is the primary resource for scientists interested in ecology or migration.

Organizing Systems can refer to people as resources, and we often use that term to avoid specifying the gender or specific role of an employee or worker, as in the management concept of the “human resources” department in a workplace. A business is defined by its intentional arrangement of human resources, and there is both variety and regularity in these arrangements (see the sidebar, Business Structures in §5.5). In addition, groups of people have come together to form "intentional communities" for thousands of years in monasteries, communes, artist colonies, cooperative houses, and religious or ethnic enclaves so they can live with people who share their values and beliefs.5a[Phil]

[5a][Phil] A directory of intentional communities organized by type and location is managed by the Fellowship of Intentional Communities.

The shift from a manufacturing to an information and services economy in the last few decades has resulted in greater emphasis on intellectual resources represented in skills and knowledge rather than on the natural resources of production materials and physical goods.6[Bus]

[6][Bus] The intellectual resources of a firm are embodied in a firm’s people, systems, management techniques, history of strategy and design decisions, customer relationships, and intellectual property like patents, copyrights, trademarks, and brands. Some of this knowledge is explicit, tangible, and traceable in the form of documents, databases, organization charts, and policy and procedure manuals. But much of it is tacit: informal and not systematized in tangible form because it is held in the minds and experiences of people; a synonym is “know-how.” A more modern term is Intellectual Capital, a concept originated in a 1997 book with that title (Stewart 1997).

Human resources in organizing systems can be understood much the same way as inanimate physical or digital resources: they are selected, organized, and managed, and can create value individually or through their interactions with others inside and outside of the system. However, human beings are uniquely complicated resources, and any organizing system that uses them must take into account their rights, motivations, and relationships. (See the sidebar, People as Resources.)

1.2.2. The Concept of “Collection”

A collection is a group of resources that have been selected for some purpose. Similar terms are set (mathematics), aggregation (data modeling), dataset (science and business), and corpus (linguistics and literary analysis).

We prefer collection because it has fewer specialized meanings. Collection is typically used to describe personal sets of physical resources (my stamp or record album collection) as well as digital ones (my collection of digital music). A collection can contain identifiers for resources along with or instead of the resources themselves, which enables a resource to be part of more than one collection, like songs in playlists.

A collection itself is also a resource. Like other resources, a collection can have description resources associated with it. An index is a description resource that contains information about the locations and frequencies of terms in a document collection to enable it to be searched efficiently.

Because collections are an important and frequently used kind of resource, it is important to distinguish them as a separate concept. In particular, the concept of collection has deep roots in libraries, museums and other institutions that select, assemble, arrange, and maintain resources. Organizing Systems in these domains can often be described as collections of collections that are variously organized according to resource type, author, creator, or collector of the resources in the collection, or any number of other principles or properties. In business contexts, the use of "collection" to describe a set of resources is much less common, but businesses organize many types of resources, including their employees, suppliers, customers, products, and the tangible and intangible assets used to create the products and run the business. Indeed, a business itself can sometimes be abstractly described as a collection of resources, especially when the resources are software components or services. (See the sidebar, Library {and, or, vs.} Business Organizing Systems and endnote40[Com].)

1.2.3. The Concept of “Intentional Arrangement”

Intentional arrangement emphasizes explicit or implicit acts of organization by people, or by computational processes acting as proxies for, or as implementations of, human intentionality. Intentional arrangement is easiest to see in Organizing Systems created by individual people who can make all the necessary decisions about organizing their own resources. It is also easy to see in Organizing Systems created by institutions like libraries, museums, businesses, and governments where the responsibility and authority to organize is centralized and explicit in policies, laws, or regulations.

However, top-down intentionality is not always necessary to create an Organizing system. Organization can emerge over time via collective behavior in situations without central control when decisions made by individuals, each acting intentionally, add up over time. Organizing systems that use bottom-up rather than top-down mechanisms are sometimes called self-organizing, because they emerge from the aggregated interactions of actors with resources or with each other. Self-organizing systems can change their internal structure or their function in response to feedback or changed circumstances.

This definition is broad enough to include business and biological ecosystems, traffic patterns, and open-source software projects. Another good example of emergent organization involves path systems, where people (as well as ants and other animals) take advantage of and thereby reinforce the paths taken by their predecessors. When highly orderly and optimal arrangements emerge from local interactions among ants, bees, birds, fish, and other animal species, it is often called “swarm intelligence.”6a[Com] When this happens with human ratings for news stories, YouTube videos, restaurants, and other types of digital and physical resources we call it “crowdsourcing”. What the animal and human situations have in common is that information is being communicated between individuals. Sometimes this communication is direct, as when Amazon shows you the average rating for a book or what books have been bought by people like you. At other times the communication is indirect, achieved when the agents modify their environment (as they do when they create paths) and others can respond to these modifications. Adam Smith's “invisible hand” is another example where individuals collectively generate an outcome they did not directly intend but that arose from their separate self-interested actions in the marketplace.6b[Cog] 6c[Com] 6d[Bus] Likewise, even though there is no top-down organization, the web as a whole, with its more than a trillion unique pages, is a self-organizing system that at its core follows clear organizing principles.7[Web] 7a[IA]

[6a][Com] The rules governing these local interactions can be simple and yet produce highly complex structures. For example, in flocks of birds or schools of fish the rules are: (1) follow things like you, (2) do not bump into each other, but stay close, and (3) move in the same direction as the rest of the group. With just these three rules computer models can create complex three-dimensional arrangements that can make abrupt changes in shape and density while moving rapidly, just as live things do. (Friederici 2009)

[6b][Cog] (Goldstone and Gureckis 2009) present a cognitive science perspective on collective behavior, analyze important themes and controversies, and suggest areas for future research. (Moussaid et al. 2009) analyze self-organizing phenomena in animal swarms and human crowds in terms of information exchange among individuals.

[6c][Com] Self-organizing behaviors in ants, bees, bats, cuckoos, fireflies and other animals have been analyzed to identify heuristics that can be applied to difficult optimization problems in network design, cryptography, and other domains where deterministic algorithms are infeasible. (Yang 2010)

[7a][IA] The concept of a web page is imprecise because many web pages, especially home pages designed as navigation gateways to an organized collection of pages, are constructed from heterogeneous blocks of content that could have been organized as separate pages.

Self-organizing is also used to describe phenomena like climate, neural networks, and phase transitions and equilibrium states in physics and chemistry. But when systems involve collections of inanimate resources that are very large and open, with complex interactions among the resources, it seems less sensible to attribute intentional arrangement to the outcomes. The resource arrangements that emerge cannot always be interpreted as the result of intentional or deterministic principles and instead are more often described in probabilistic or statistical terms. And even though it involves animate resources, Charles Darwin’s “natural selection” in evolutionary biology is a self-organizing mechanism where intentionality is hard to pinpoint or absent entirely.

The requirement for intentional arrangement excludes naturally occurring patterns created by physical or geological processes from being thought of as Organizing Systems. There is information in the piles of debris left after a tornado or tsunami and the strata of the Grand Canyon. But they are not Organizing Systems because the patterns of arrangement were created by deterministic natural forces rather than by agents following one or more organizing principles.

Other patterns of resource arrangements are illusions or perceptions that require a particular vantage point. The best examples are patterns of stars as they appear to an observer on Earth. The three precisely aligned stars that are often described as “Orion’s belt” are several hundred light years from Earth and also from each other. The perceived arrangement of the stars is undeniable, but the stars are not aligned in the universe. On the other hand, astronomical constellations like Orion are intentional arrangements imposed on the perceived locations of the stars, and these perceived arrangements and the explanations for them that constellations provide form an Organizing System that is deeply embedded in human culture and in the important practice of navigation, especially over the seas.

Taken together, the intentional arrangements of resources in an Organizing System are the result of decisions about what is organized, why it is organized, how much it is organized, when it is organized, and how or by whom it is organized (each of these will be discussed in greater detail in §1.3, “Design Decisions in Organizing Systems”). An Organizing System is defined by the composite impact of the choices made on these design dimensions. Because these questions are interrelated their answers come together in an integrated way to define an Organizing System.

1.2.3.1. The Concept of “Organizing Principle”

The arrangements of resources in an Organizing System follow or embody one or more organizing principles that enable the Organizing System to achieve its purposes. Organizing principles are directives for the design or arrangement of a collection of resources that are ideally expressed in a way that does not assume any particular implementation or realization. We call this design philosophy “Architectural Thinking” (See also §10.5.2, “Architectural Thinking”.)

When we organize a bookshelf, home office, kitchen, or the MP3 files on our music player, the resources themselves might be new and modern but many of the principles that govern their organization are those that have influenced the design of Organizing Systems for thousands of years. For example, we organize resources using easily perceived properties to make them easy to locate, we group together resources that we often use together, and we make resources that we use often more accessible than those we use infrequently. Very general and abstract organizing principles are sometimes called design heuristics (e.g., “make things easier to find”). More specific and commonly used organizing principles include alphabetical ordering (arranging resources according to their names) and chronological ordering (arranging resources according to the date of their creation or other important event in the lifetime of the resource). Some organizing principles sort resources into pre-defined categories and other organizing principles rely on novel combinations of resource properties to create new categories.

Expressing organizing principles in a way that separates design and implementation aligns well with the three-tier architecture familiar to software architects and designers: user interface (implementation of interactions), business logic (intentional arrangement), and data (resources). (See the sidebar, The Three Tiers of Organizing Systems.)

The logical separation between organizing principles and their implementation is easy to see with digital resources. In a digital library it does not matter to a user if the resources are stored locally or retrieved over a network. The essence of a library Organizing System emerges from the resources that it organizes and the interactions with the resources that it enables. Users typically care a lot about the interactions they can perform, like the kinds of searching and sorting allowed by the online library catalog. How the resources and interactions are implemented are typically of little concern. Similarly, many email applications have migrated to the web and the system of filters and folders that manage email messages is no longer implemented in a local network or on personal computers, but most people neither notice nor care.

The separation of organizing principles and their implementation is harder to recognize in an Organizing System that only contains physical resources, such as your kitchen or clothes closet, where you appear to have unmediated interactions with resources rather than accessing them through some kind of user interface or “presentation tier” that supports the principles specified in the “middle tier” and realized in the “storage tier.” As a result, people can easily get distracted by presentation-tier concerns. Too often we waste time color-coding file folders and putting labels on storage containers, when it would have better to think more carefully about the logical organization of the folder and container contents. It does not help to use colors and labels to make the logical organization more salient if that is not well designed first.

One place where you can easily appreciate these different tiers for physical resources is in the organization of spices in a kitchen. Different kitchens might all embody an alphabetic order organizing principle for arranging a collection of spices, but the exact locations and arrangement of the spices in any particular kitchen depends on the configuration of shelves and drawers, whether a spice rack or rotating tray is used, and other storage-tier considerations. Similarly, spices could be logically organized by cuisine, with Indian spices separated from Mexican spices, but this organizing principle does not imply anything about where they can be found in the kitchen.

Figure 1.2, “Presentation, Logic and Storage Tiers.” illustrates the separation of the presentation, logic, and storage tiers for four different types of library Organizing Systems and for Google Books. No two of them are the same in every tier. Note how a library that uses inventory robots to manage the storage of books does not reveal this in its higher tiers. (See the sidebar, Library Robot.)

Figure 1.2. Presentation, Logic and Storage Tiers.
A conceptual depiction of an Organizing System as three layers. The top layer is the Presentation layer; icons represent card catalogs, online catalogs and search interfaces. The middle row is the Logic layer; icons represent library classifications and search engines. The lowest layer depicts a Storage layer; icons represent books on shelves, digital books and physical retrieval systems.

It is highly desirable when the design and implementation of an Organizing System separates the storage of the resources from the logic of their arrangement and the methods for interacting with them. This three-tier architect is familiar to designers of computerized Organizing Systems but it is also useful to think about Organizing Systems in this way even when it involves physical resources.

Because tangible things can only be in one place at a time, many Organizing Systems, like those in the modern library with online catalogs and physical collections, resolve this constraint by creating digital proxies or surrogates to organize their tangible resources, or create parallel digital resources (e.g., digitized books).9[Web] The implications for arranging, finding, using and reusing resources in any Organizing System directly reflect the mix of these two embodiments of information; in this way we can think of the modern library as a digital Organizing System that primarily relies on digital resources to organize a mixture of physical and digital ones.

[9][Web] Instead of thinking of a digital book as a “parallel resource” to a printed book, we could consider both of them as alternate representations of the same abstract resource that are linked together by an “alternative” relationship, just as we can use the HTML ALT tag to associate text with an image so its content and function can be understood by text-only readers.

The Organizing System for a small collection can sometimes use only the minimal or default organizing principle of collocationputting all the resources in the same container, on the same shelf, or in the same email in-box. If you do not cook much and have only a small number of spices in your kitchen, you do not need to alphabetize them because it is easy to find the one you want.10[Com]

[10][Com] For collections of non-trivial size the choice of searching or sorting algorithm in computer programs is a critical design decision because they differ greatly in the time they take to complete and the storage space they require. For example, if the collection is arranged in an unorganized or random manner (as a “pile”) and every resource must be examined, the time to find a particular item increases linearly with the collection size. If the collection is maintained in an ordered manner, a binary search algorithm can locate any item in a time proportional to the logarithm of the number of items. Analysis of algorithms is a fundamental topic in computer science; a popular textbook is Introduction to Algorithms by (Cormen et al. 2009).

Some organization emerges implicitly through a frequency of use principle. In your kitchen or clothes closet, the resources you use most often migrate to the front because that is the easiest place to return them after using them. But as a collection grows in size, the time to arrange, locate, and retrieve a particular resource becomes more important. The collection must be explicitly organized to make these interactions efficient, and the organization must be preserved after the interaction takes place; i.e., resources are put back in the place they were found. As a result, most Organizing Systems employ organizing principles that make use of properties of the resources being organized (e.g., name, color, shape, date of creation, semantic or biological category), and multiple properties are often used simultaneously. For example, in your kitchen you might arrange your cooking pots and pans by size and shape so you can nest them and store them compactly, but you might also arrange things by cuisine or style and separate your grilling equipment from the wok and other items you use for making Chinese food.

Unlike those for physical resources, the most useful organizing properties for information resources are those based on their content and meaning, and these are not directly apparent when you look at a book or document. Significant intellectual effort or computation is necessary to reveal these properties when assigning subject terms or creating an index.

The most effective Organizing Systems for information resources often are based on properties that emerge from analyzing the collection as a whole. For example, the relevance of documents to a search query is higher when they contain a higher than average frequency of the query terms compared to other documents in the collection, or when they are linked to relevant documents. Likewise, algorithms for classifying email messages continuously recalculate the probability that words like “beneficiary” or “Viagra” indicate whether a message is “spam” or “not spam” in the collection of messages processed.

1.2.3.2. The Concept of “Agent”

Many disciplines have specialized job titles to distinguish among the people who organize resources (for example: cataloger, archivist, indexer, curator, collections manager...).11[LIS] We use the more general word, agent, for any entity capable of autonomous and intentional organizing effort, because it treats organizing work done by people and organizing work done by computers as having common goals, despite obvious differences in methods.

[11][LIS] For precise distinctions, see the US Department of Labor, Bureau of Labor Statistics occupational outlook handbooks at http://www.bls.gov/oco/ocos065.htm and http://www.bls.gov/oco/ocos068.htm and http://www.michellemach.com/jobtitles/realjobs.html.

We can analyze agents in Organizing Systems to understand how human and computational efforts to arrange resources complement and substitute for each other. We can determine the economic, social, and technological contexts in which each type of agent can best be employed. We can determine how the Organizing System allocates effort and costs among its creators, users, maintainers and other stakeholders.

A group of people can be an organizing agent, as when a group of people come together in a service club or standards body technical committee in which the members of the group subordinate their own individual agency to achieve a collective good.

We also use the term agent when we discuss interactions with Organizing Systems. The entities that most typically access the contents of libraries, museums, or other collections of physical resources are human agentsthat is, people. In other Organizing Systems, such as business information systems or data repositories, interactions with resources are carried out by computational processes, robotic devices, or other entities that act autonomously on behalf of a person or group.

In some Organizing Systems, the resources themselves are capable of initiating interactions with other resources or with external agents. This is most obvious with human or other living resources, where a critical part of the design of any Organizing System with them is determining what kinds of interactions they should be encouraged or allowed to initiate. We will return to this issue after we discuss the design of interactions with ordinary resources that are passive, the situation in most Organizing Systems that involve physical resources.

Other resources that can initiate interactions are resources augmented with sensory, computational or communication capabilities that enable them to obtain information from their environment and then do something useful with it. You are probably familiar with RFID tags, which enable the precise identification and location of physical resources as they move through supply chains and stores, and with “smart” devices like Nest thermostats that learn how to program themselves.

1.2.4. The Concept of “Interactions”

An interaction is an action, function, service, or capability that makes use of the resources in a collection or the collection as a whole. The interaction of access is fundamental in any collection of resources, but many Organizing Systems provide additional functions to make access more efficient and to support additional interactions with the accessed resources. For example, libraries and similar Organizing Systems implement catalogs to enable interactions for finding a known resource, identifying any resource in the collection, and discriminating or selecting among similar resources.12[LIS]

[12][LIS] The four objectives listed in this paragraph as those proposed in 1997 by the International Federation of Library Associations and Institutions (IFLA). The first statement of the objectives for a bibliographic system was made by (Cutter 1876), which (Svenonius 2000) says it is likely the most cited text in the bibliographic literature. Cutter called his three objectives “finding,” “co-locating,” and “choice.”

Some of the interactions with resources in an Organizing System are inherently determined by the characteristics of the resource. Because many museum resources are unique or extremely valuable, visitors are allowed to view them but cannot borrow them, in contrast with most of the resources in libraries. A library might have multiple printed copies of Moby Dick but can never lend more of them than it possesses. After a printed book is checked out from the library, there are many types of interactions that might take placereading, translating, summarizing, annotating, and so onbut these are not directly supported by the library Organizing System and are invisible to it.

For works not in the public domain, copyright law gives the copyright holder the right to prevent some uses, but at the same time “fair use” and similar copyright doctrines enable certain limited uses even for copyrighted works.13[Law]

[13][Law] Copyright law, license or contract agreements, terms of use and so on that shape interactions with resources are part of the Organizing System, but compliance with them might not be directly implemented as part of the system. With digital resources, digital rights management (DRM), passwords, and other security mechanisms can be built into the Organizing System to enforce compliance.

Digital resources enable a greater range of interactions than physical ones. Any number of people or processes can request a weather forecast from a web-based weather service because the forecast is not used up by the request and the marginal cost of allowing another access is nearly zero. Furthermore, with digital resources many new kinds of interactions can be enabled through application software, web services, or application program interfaces (APIs) in the Organizing System. In particular, translation, summarization, annotation, and keyword suggestion are highly useful services that are commonly supported by web search engines and other web applications. Similarly, an Organizing System with digital resources can implement a “keep everything up to date” interaction that automatically pushes current content to your browser or computing device.

But just as technology can enable interactions, it can prevent or constrain them. If your collection of digital resources (ebooks or music, for example) is not stored on your own computer or device, a continuous Internet connection is a requirement for access. In addition, access control policies and digital rights management (DRM) technology can limit the devices that can access the collection and prevent copying, annotation and other actions that might otherwise be enabled by the fair use doctrine.

Interaction design is especially crucial for managing resources that have the capability to initiate interactions with each other or with external agents. Consider the vast differences in how workers behave in businesses organized according to principles of scientific management and those that embody the Kaizen principles of continuous improvement. In the former, work is highly standardized and bureaucratic, giving workers little autonomy. In the latter, work is also standardized, but workers are motivated to analyze and improve work processes whenever possible, and they are given great discretion in how to do that.13a[Bus]

[13a][Bus] Frederick Taylor developed “scientific management” to improve industrial efficiency and conducted detailed time and motion studies to devise what he thought were optimal ways to perform work tasks (Taylor 1914). The Kaizen principles of continuous improvement were introduced to Western audiences by Imai Masaaki and by numerous books about their application in the Toyota production system (Masaaki 1986).

Scientific management views a business as a machine, while Kaizen principles treat it as a brain that learns. These metaphors for business organization are among those described by (Morgan 1997) in a classic business textbook. Other metaphors discussed include organisms, cultures, political systems, and psychic prisons.

Just as with organizing principles, it is useful to think of interactions in an abstract or logical way that does not assume an implementation because it can encourage innovative designs for Organizing Systems. (See the sidebar, The Global Digital Zoo.)

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