Bureaucrats, darkmatter, Administrators
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Computer systems can yield tremendous efficiencies, but they can force people to work in ways they have difficulty adapting to. There's always a question of individuals adapting to tech versus the tech adapting to the person. Good technology will consider the user experience and impact as important as the potential gain. This can be recognized by learning about successful uses of the technology, and the kind of background and processes that went into its development. Many companies and projects (potential components of your innovation) are very technically driven. Whatever clever “invention” a technical person managed to come up with becomes the focus. This may be a good model for ultra competitive commercial enterprise, but it's not so good for social organizations. Signs of a good service providers are multidisciplinary teams that include, where practical, designers, content experts, and end user representation, as well as those focusing only on the technology (hopefully with some interest in the context). | Computer systems can yield tremendous efficiencies, but they can force people to work in ways they have difficulty adapting to. There's always a question of individuals adapting to tech versus the tech adapting to the person. Good technology will consider the user experience and impact as important as the potential gain. This can be recognized by learning about successful uses of the technology, and the kind of background and processes that went into its development. Many companies and projects (potential components of your innovation) are very technically driven. Whatever clever “invention” a technical person managed to come up with becomes the focus. This may be a good model for ultra competitive commercial enterprise, but it's not so good for social organizations. Signs of a good service providers are multidisciplinary teams that include, where practical, designers, content experts, and end user representation, as well as those focusing only on the technology (hopefully with some interest in the context). | ||
Ultimately, however, individuals and the organization will have to adapt to the way the technology works. No technology is completely flexible, so past procurement and training, some processes will need to be changed, information constrained to a system, and systems interfaced. As an individual, you'll have to consider how your innovation can be integrated (or not - | Ultimately, however, individuals and the organization will have to adapt to the way the technology works. No technology is completely flexible, so past procurement and training, some processes will need to be changed, information constrained to a system, and systems interfaced. As an individual, you'll have to consider how your innovation can be integrated (or not - [[wp:Loose coupling | loosely coupled]] system are often considered the most robust). | ||
For example, consider the idea of organizing information. Today, it takes weeks for an information request to be processed by the city, and what you'll get is a photocopy of a document that can't be easily re-used. Many organizations have incredible struggles classifying and describing information (developing ontologies). If an organization has thousands of documents, relevant content can be more easily found in a well designed system, and individuals can serve themselves. International organizations using shared ontologies can match documents and develop sophisticated linked systems that allow consistent communications and access to information. Yet defining and restraining content to ontologies perfectly is a problem that has existed for thousands of years, due to differences in individual and cultural perceptions. It's best not to get caught up in these kinds of "wild goose chases" unless it's a core requirement, and the expertise or cues are available. | For example, consider the idea of organizing information. Today, it takes weeks for an information request to be processed by the city, and what you'll get is a photocopy of a document that can't be easily re-used. Many organizations have incredible struggles classifying and describing information (developing ontologies). If an organization has thousands of documents, relevant content can be more easily found in a well designed system, and individuals can serve themselves. International organizations using shared ontologies can match documents and develop sophisticated linked systems that allow consistent communications and access to information. Yet defining and restraining content to ontologies perfectly is a problem that has existed for thousands of years, due to differences in individual and cultural perceptions. It's best not to get caught up in these kinds of "wild goose chases" unless it's a core requirement, and the expertise or cues are available. | ||