Strategies for Community Development
Notice bibliographique
Résumé
The transformational changes brought about by the Internet stimulate the planning of social and economic development in networked communities. This chapter will cover the following topics: • The community and its economic and social development; • The importance of development strategies and theory: ° An introduction to types of strategies and theories ° The influence of ICTs on community development • Strategic planning in a community: ° An outline of strategic planning ° The role of ICTs in the strategic planning process; ° Examples of ICT community development opportunities; • Key success factors in implementing a community development strategy; • Evaluation and measurement of community development. The strategic inclusion of information and communication technologies (ICTs) within community development plans can be compared to organisational re-engineering. They both require effort to become more efficient, and novel perspectives are needed to develop new economic values. Within the broad context of the human condition, they both involve understanding what people need and want, how inequities can be bridged, and how to minimise the negative impact of making changes. A lesser approach runs the risk of communities resolving one challenge only to see new problems spring up. As was aptly put by Matthiessen, Schwarz and Find (2006), “[Creation] of wealth in an economy of ideas is derived far less than we imagine from the technological hardware and infrastructure. Rather it is dependent upon the capacity to continually create content or new forms of widely distributed knowledge for which there is a need to invest in human capital throughout the economy” (p. 15). Information technology has acted as an important trigger for the development of business process re-engineering in firms (Attaran, 2004), and ICTs have had a similar impact on communities—they expand the need to keep up with global changes. Innovative use of IT has led many firms to develop ways of more effectively coordinating their activities and at lower costs, thus giving them strategic advantages. Similarly, communities around the world are paying attention to the Internet economy, realising that it is a source of opportunity that also presents many challenges. Firms and communities are often linked; as more businesses participate in work that is network-intensive, local communities have the opportunity to learn how they too can grow and change as a result of being networked, or at least learn to be a supportive ally.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».