Inhaltsangabe
Software systems that used to be relatively autonomous entities such as e.g. accounting systems, order-entry systems etc. are now interlinked in large networks comprising extensive information infrastructures. What earlier used to be stand-alone proprietary systems are now for the most part replaced by more or less standardized interdependent systems that form large networks of production and use. Organizations have to make decisions about what office suite to purchase? The easiest option is to continuously upgrade the existing office suite to the latest version, but the battle between WordPerfect and Microsoft Word demonstrated that the choice is not obvious. What instant messenger network to join for global communication? Preferably the one most colleagues and friends use; AOL Instant Messenger, Microsoft Messenger, and ICQ represent three satisfactory, but disjunctive alternatives. Similarly organizations abandon their portfolio of homegrown IT systems and replace them with a single Enterprise Resource Planning (ERP) system. Several ERP alternatives exist on the market, but which is the right one for you? The argumentation and rationale behind these considerations are obviously related to the technological and social networks we are embedded in, but it is not always easy to specify how.
Networked Information Technologies: Diffusion and Adoption offers contributions from academics and practitioners who study networked information systems from a diffusion and adoption point of view. Themes related to the conceptualisation of diffusion and adoption of networked information systems are discussed along with studies of the diffusion of networked information systems in public sector institutions and private businesses.
This volume contains the edited proceedings of the IFIP Conference on The Diffusion and Adoption of Networked Information Technologies, which was sponsored by the International Federation for Information Processing (IFIP) WorkingGroup 8.6 and held in Copenhagen, Denmark in October 2003.
Reseña del editor
Software systems that used to be relatively autonomous entities such as e.g. accounting systems, order-entry systems etc. are now interlinked in large networks comprising extensive information infrastructures. What earlier used to be stand-alone proprietary systems are now for the most part replaced by more or less standardized interdependent systems that form large networks of production and use. Organizations have to make decisions about what office suite to purchase? The easiest option is to continuously upgrade the existing office suite to the latest version, but the battle between WordPerfect and Microsoft Word demonstrated that the choice is not obvious. What instant messenger network to join for global communication? Preferably the one most colleagues and friends use; AOL Instant Messenger, Microsoft Messenger, and ICQ represent three satisfactory, but disjunctive alternatives. Similarly organizations abandon their portfolio of homegrown IT systems and replace them with a single Enterprise Resource Planning (ERP) system. Several ERP alternatives exist on the market, but which is the right one for you? The argumentation and rationale behind these considerations are obviously related to the technological and social networks we are embedded in, but it is not always easy to specify how.
Networked Information Technologies: Diffusion and Adoption offers contributions from academics and practitioners who study networked information systems from a diffusion and adoption point of view. Themes related to the conceptualisation of diffusion and adoption of networked information systems are discussed along with studies of the diffusion of networked information systems in public sector institutions and private businesses.
This volume contains the edited proceedings of the IFIP Conference on The Diffusion and Adoption of Networked Information Technologies, which was sponsored by the International Federation for Information Processing (IFIP) Working Group 8.6 and held in Copenhagen, Denmark in October 2003.
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